2025 Market SizeUSD 4.10 Bn
2026 EstimateUSD 5.35 Bn
2034 ForecastUSD 31.00 Bn
CAGR24.6%
Largest Regional MarketNorth America
Market Research
AI Datacenter Liquid Cooling Market Overview
Market size, growth outlook, commercial demand signals and technology shifts shaping the 2026–2034 opportunity.
Executive Market Perspective
The global AI Datacenter Liquid Cooling Market was valued at USD 4.10 billion in 2025 and is estimated at USD 5.35 billion in 2026. Revenue is forecast to reach USD 31.00 billion by 2034, representing a 24.6% CAGR during 2026–2034. North America remains the largest regional market as hyperscale operators, AI-native cloud providers and colocation developers deploy higher-density accelerator clusters that require direct liquid cooling, coolant distribution, warm-water loops and facility-side heat rejection. The opportunity extends from chip cold plates and rack manifolds through CDUs, rear-door systems, immersion platforms, controls, commissioning and lifecycle service. This trajectory makes cooling architecture a first-order capacity-planning decision for operators that must convert accelerator density into deployable, serviceable and energy-efficient compute infrastructure.
945 TWh
Global data-center electricity demand by 2030The IEA projects data-center electricity consumption to reach 945 TWh in 2030. That expansion raises the thermal-management load that must be removed reliably as accelerated servers account for a large share of incremental electricity use.
140+ kW
Rack-density threshold already being provisionedSchneider Electric states that AI infrastructure is moving beyond 140 kW per rack and preparing for much higher densities, increasing the economic case for liquid pathways that remove heat at the processor rather than relying on room air alone.
2.5 MW
High-capacity CDU commercializationMotivair by Schneider Electric introduced a 2.5 MW CDU in January 2026 and positions centralized systems to scale beyond 10 MW, indicating that liquid distribution is moving from individual racks toward data-hall and AI-factory scale infrastructure.
AI datacenter liquid cooling covers the equipment, controls and services that transfer heat from high-power processors and memory into a liquid loop and then into facility heat-rejection infrastructure. The in-scope revenue boundary includes direct-to-chip cold plates, manifolds, quick disconnects, coolant distribution units, immersion tanks, rear-door heat exchangers, piping, pumps, heat exchangers, monitoring, commissioning and selected lifecycle services. It excludes conventional room air conditioning when it is not part of a hybrid liquid architecture. This definition matters commercially because cooling procurement is increasingly tied to server platform qualification, rack density, coolant chemistry, facility-water design and commissioning responsibility rather than purchased as a standalone mechanical package.
The demand curve is being set by accelerated computing density and by the speed at which operators can convert electrical capacity into productive AI compute. The IEA projects global data-center electricity consumption to reach 945 TWh by 2030, while accelerated servers account for almost half of the net increase. Thermal design therefore becomes a capacity-conversion constraint: an energized megawatt that cannot be cooled at the target rack density does not produce the intended compute output. Direct liquid cooling captures heat closer to the silicon and can support dense rack configurations while reducing dependence on very high air volumes. That shifts spending toward cold plates, CDUs, secondary loops, filtration, leak detection and controls.
Commercial architectures are diversifying rather than converging on one format. Direct-to-chip systems dominate near-term AI deployment because they can be integrated into standard server and rack workflows, while immersion cooling remains relevant where operators can redesign service procedures and hardware layouts around a bath-based environment. Rear-door and liquid-to-air systems create an important brownfield bridge for facilities that lack a suitable facility-water loop. OCP work on cold plates, CDUs, coolant fluids, manifolds and quick disconnects is reducing interface fragmentation, but qualification still depends on pressure, flow, material compatibility, cleanliness, redundancy and service procedures across both the technology cooling system and facility water system.
Supply economics increasingly favor vendors that can support both product scale and integration depth. CoolIT, Vertiv, STULZ, Airedale by Modine and Motivair by Schneider Electric have expanded CDU and data-center liquid-cooling portfolios, while specialist suppliers provide cold plates, manifolds, immersion platforms and engineering services. Large programs require factory testing, global field support, standardized controls, spare-parts availability and the ability to coordinate with server OEMs, silicon platforms and mechanical contractors. As a result, competitive differentiation is moving beyond nominal kilowatt capacity toward verified compatibility, deployment speed, leakage control, water-quality management, telemetry, serviceability and the ability to deliver repeatable designs across multiple regions.
Key Takeaways: AI Datacenter Liquid Cooling Market
- The market was valued at USD 4.10 billion in 2025 and is estimated at USD 5.35 billion in 2026.
- Revenue is forecast to reach USD 31.00 billion by 2034, representing a 24.6% CAGR during 2026–2034.
- Direct-to-Chip Liquid Cooling Systems represented an estimated 63% of 2025 revenue, making it the largest By Type segment.
- Hyperscale AI Training & Inference Facilities accounted for an estimated 58% of 2025 revenue, leading the By Application segment.
- North America was the largest regional market with an estimated 46% share of 2025 global revenue.
- Growth is driven by rising accelerator rack density, higher thermal design power, faster AI-campus deployment, brownfield retrofit requirements and increasing emphasis on compute utilization.
- Schneider Electric, Vertiv, CoolIT Systems, STULZ, Modine, Boyd, nVent, LiquidStack, Submer, Accelsius and JetCool are among the due-diligenced participants covered.
- Coverage spans 2026–2034 with analysis by Type, Application, Interconnect Technology, End User, five global regions, selected countries, competition, supply chain and infrastructure.
Coverage
Report Scope & Market Segmentation
Four core market segmentation views with geographic and competitive analysis.
The report measures revenue from liquid-cooling hardware and directly associated integration or lifecycle services used to remove heat from AI processors, accelerators, memory, networking and rack-scale systems. The four segmentation dimensions preserve the supplied Report Content taxonomy: By Type, By Application, By Interconnect Technology and By End User. Each dimension is a separate 100% view of the same market rather than an additive hierarchy. Regional analysis covers five global regions and selected countries with material AI infrastructure, semiconductor, hyperscale, colocation or high-performance-computing activity. The boundary therefore captures the cooling hardware and associated deployment value directly tied to moving heat from AI compute equipment into the facility heat-rejection chain.
| Report Attribute | Coverage |
|---|
| Base Year | 2025 |
| Estimated Year | 2026 |
| Forecast Period | 2026–2034 |
| Market Measurement | Revenue, USD million/billion |
| By Type | Direct-to-Chip Liquid Cooling Systems; Coolant Distribution Units; Immersion Cooling Systems; Rear-Door Heat Exchangers & Hybrid Liquid Systems |
| By Application | Hyperscale AI Training & Inference Facilities; AI/HPC Colocation Facilities; Enterprise & Sovereign AI Data Centers; Research Supercomputing & Technical Computing |
| By Interconnect Technology | Cold-Plate Direct Liquid Cooling; Single-Phase Immersion Cooling; Two-Phase Immersion Cooling; Liquid-to-Air & Hybrid Heat-Rejection Architectures |
| By End User | Hyperscale Cloud & AI Platform Operators; Colocation & Wholesale Data Center Operators; Enterprise & Sovereign AI Operators; HPC Laboratories & Research Institutions |
| By Region | North America; Europe; Asia-Pacific; Latin America; Middle East & Africa |
| Selected Countries | United States; Canada; Germany; United Kingdom; France; China; Japan; South Korea; India; Singapore; Brazil; Mexico; Saudi Arabia; United Arab Emirates |
| Key Market Players | Schneider Electric / Motivair, Vertiv, CoolIT Systems, STULZ, Modine / Airedale, Boyd, nVent, LiquidStack, Submer, Accelsius, JetCool |
Geography
AI Datacenter Liquid Cooling Market Regional Analysis
Revenue concentration, deployment readiness and country-level demand signals.
Region
North America
2025 share: 46%
North America accounted for an estimated 46% of 2025 revenue, supported by the concentration of hyperscale AI campuses, advanced accelerator deployments, colocation capacity and a supplier ecosystem that can qualify liquid systems close to major cloud and semiconductor customers. The region is also an early proving ground for high-capacity CDUs, direct-to-chip cold plates, liquid-to-air retrofit systems and integrated controls. Procurement increasingly occurs at campus scale, where cooling architecture must be coordinated with power delivery, water availability, construction sequencing and commissioning. Strong service coverage and local manufacturing are therefore becoming as important as thermal performance for multi-site rollouts. Supplier access, local service capability and facility water-and-power constraints also influence which liquid-cooling architecture converts most effectively into deployed revenue.
United States
The United States is the region’s central demand engine because hyperscale cloud platforms, AI-native infrastructure developers, semiconductor vendors and major colocation operators are expanding high-density campuses in multiple power markets. Liquid cooling adoption is reinforced by the need to monetize constrained electrical capacity through higher rack density while controlling fan energy and thermal excursions. U.S. deployment also shapes supplier qualification standards because server OEMs and cooling vendors validate cold plates, CDUs, manifolds and controls against leading accelerator platforms before international replication.
Canada
Canada combines hyperscale and colocation development with access to low-carbon electricity in several provinces and strong HPC activity. The market opportunity is concentrated in projects where dense AI racks can benefit from cool ambient conditions, warm-water loops and economization, while facility design must still address water chemistry, winterization, redundancy and serviceability. Canadian deployments are relevant for both new AI facilities and retrofit programs because operators can pair direct liquid cooling with existing chilled-water or dry-cooler infrastructure where hydraulic conditions and heat-rejection capacity permit.
Europe is a major liquid-cooling market because high-density AI deployment is occurring alongside tighter energy-efficiency, water-use and grid-capacity constraints. Operators increasingly evaluate liquid systems not only for processor thermal performance but also for heat-reuse potential, reduced fan energy and the ability to place more compute within limited white space. Germany, the United Kingdom, France and the Nordic region host large data-center and HPC footprints, while EU reporting requirements are increasing visibility into energy and water performance. These conditions support demand for warm-water direct liquid cooling, high-efficiency CDUs, hybrid heat rejection and detailed monitoring across the facility and technology cooling loops.
Germany
Germany remains a core European market through Frankfurt-area colocation capacity, enterprise demand and HPC investment, but grid access and energy efficiency strongly influence project design. Direct liquid cooling can improve rack density and create higher-grade waste heat that is easier to recover than conventional hot aisle air. German projects therefore place emphasis on plate heat exchangers, water quality, redundant pumping, metering and integration with district-energy or building systems where practical. Vendor selection also benefits suppliers that can provide European manufacturing, service coverage and compliance documentation for mission-critical facilities.
United Kingdom
The United Kingdom combines London colocation demand, cloud infrastructure, research computing and expanding AI investment. High land and power costs increase the value of cooling architectures that support more compute per rack and per square meter, while brownfield facilities need retrofit pathways that limit disruption. Liquid-to-air CDUs, rear-door systems and staged direct-to-chip deployments can therefore serve as transition technologies where facility water is not yet available. Operators also prioritize leak detection, maintainability and independent loop isolation because serviceability remains critical in mixed air-and-liquid data halls.
Asia-Pacific is the fastest-broadening opportunity base as China, Japan, South Korea, India and Singapore expand AI infrastructure, cloud capacity and semiconductor-linked computing. The region combines greenfield hyperscale campuses with space-constrained urban data centers, creating demand for both large centralized CDUs and compact rack or row cooling. Schneider Electric opened its first Indian Motivair liquid-cooling factory in Bengaluru in February 2026, while Modine opened a 100,000-square-foot Chennai data-center cooling facility in 2025, signaling supplier localization. Regional growth depends on local manufacturing, water availability, climate, power quality and the ability to support multinational designs with in-country commissioning and service. Supplier access, local service capability and facility water-and-power constraints also influence which liquid-cooling architecture converts most effectively into deployed revenue.
China
China’s hyperscale cloud platforms, internet companies, AI developers and domestic server supply chain create significant demand for high-density thermal management. Direct liquid cooling and immersion both have application potential, but project economics depend on facility standards, local coolant and component sourcing, heat-rejection design and service models. Dense computing clusters can favor warm-water loops where climates and facility infrastructure permit economization, while large campuses require careful hydraulic zoning and redundancy. Domestic manufacturing depth in pumps, heat exchangers, controls and server hardware also supports localized system integration and shorter supply chains.
India
India is becoming a more important manufacturing and deployment base for data-center cooling. Schneider Electric launched a Motivair liquid-cooling production facility in Bengaluru in February 2026, and Modine opened a 100,000-square-foot Chennai facility in 2025 for Airedale data-center cooling equipment. Those investments improve regional lead times and service access as hyperscale and colocation construction expands. Indian projects must balance high ambient temperatures, water availability, grid constraints and rapid capacity additions, which can favor hybrid heat-rejection designs, efficient CDUs and standardized liquid-ready modules that reduce site commissioning complexity.
Latin America remains smaller than the three leading regions but is gaining relevance as cloud platforms and colocation providers expand capacity in Brazil, Mexico, Chile and other digital hubs. Liquid cooling demand is concentrated first in high-density AI zones rather than across entire facilities, making modular CDUs, rear-door systems and hybrid air-liquid designs commercially attractive. Hot climates, water constraints, power quality and the availability of skilled service teams influence architecture selection. Buyers favor systems that can be integrated incrementally into conventional data halls, supported by remote monitoring and standardized maintenance, while larger greenfield campuses can justify dedicated facility-water loops as AI load becomes a material share of total IT capacity.
Brazil
Brazil is the region’s largest data-center market and has a growing base of cloud, colocation and enterprise infrastructure concentrated around S–o Paulo and other major metros. AI deployment increases demand for localized high-density cooling zones, but facility-water design and service capability remain important constraints. Brownfield operators can use rear-door or liquid-to-air CDU approaches to introduce liquid cooling without immediately rebuilding the full mechanical plant, while new campuses can engineer direct-to-chip loops from the outset. Power and network concentration around established data-center clusters supports faster adoption than in smaller regional markets.
Mexico
Mexico benefits from proximity to U.S. cloud ecosystems, manufacturing supply chains and expanding data-center investment in markets such as Quer–taro. High ambient conditions and rapid campus development raise the value of efficient heat rejection and prefabricated liquid-cooling infrastructure. Direct-to-chip systems can be deployed alongside conventional air cooling to support AI racks without converting entire halls at once. Supplier economics depend on local service coverage, imported component lead times and the ability to coordinate cooling equipment with electrical energization, rack delivery and network commissioning.
Region
Middle East & Africa
Middle East and Africa demand is led by Gulf countries pursuing AI, cloud and sovereign digital infrastructure, with Saudi Arabia and the United Arab Emirates providing the clearest high-density opportunity. Extreme ambient temperatures make thermal efficiency strategically important, but water availability can complicate evaporative approaches and place greater emphasis on closed-loop liquid systems, dry coolers and carefully engineered hybrid heat rejection. Large greenfield campuses also provide an opportunity to design liquid cooling and power architecture together from the beginning. Elsewhere in Africa, adoption is more selective and tied to major colocation hubs, research computing and enterprise projects with sufficient power and network capacity.
Saudi Arabia
Saudi Arabia is building a larger data-center and AI ecosystem under national digital and industrial strategies, creating opportunities for high-density cooling systems that can operate reliably in very hot climates. Schneider Electric has showcased Motivair liquid-cooling solutions in the Kingdom, reflecting supplier focus on this market. Projects must manage heat rejection, water use, dust, redundancy and service logistics simultaneously. Greenfield development enables operators to integrate technology cooling loops, facility water or refrigerant systems, leak detection and controls into the initial mechanical design rather than retrofitting them after compute racks arrive.
United Arab Emirates
The United Arab Emirates combines hyperscale cloud regions, sovereign AI investment and colocation expansion with high ambient temperatures and stringent uptime requirements. Liquid cooling can improve processor heat removal and white-space density, but facility-level economics depend on how effectively heat is rejected without excessive water consumption. Operators therefore evaluate direct-to-chip systems together with dry or hybrid cooling, redundant pumping and strong telemetry. The market favors vendors with regional service capability and global reference designs because deployments often involve multinational cloud, server and infrastructure partners.
Competition
AI Datacenter Liquid Cooling Market Competitive Landscape
Supplier positioning, qualification depth, integration scope and manufacturing reach.
Competition is shifting from stand-alone cooling components toward integrated thermal platforms that can be qualified with AI server architectures and replicated across global campuses. Schneider Electric strengthened its position by acquiring a controlling interest in Motivair and now combines CDUs, cold plates, rear-door heat exchangers, chillers, controls and services within a broader data-center infrastructure portfolio. Vertiv offers liquid-to-liquid, liquid-to-air and liquid-to-refrigerant CDU options for high-density environments. CoolIT Systems remains a specialist in direct liquid cooling, with cold plates, manifolds, TCS piping and rack or row CDUs. These suppliers compete on validated performance, redundancy, telemetry, service coverage and integration speed rather than cooling capacity alone.
A second competitive group spans established thermal-management manufacturers and specialists that address different parts of the liquid loop. STULZ supplies CDUs, chillers and integrated liquid-ready systems; Airedale by Modine has expanded CDU capacity and manufacturing for data-center programs; Boyd supplies advanced liquid-cooling components and cold plates; nVent provides liquid-cooling and enclosure infrastructure; LiquidStack and Submer participate in immersion and direct-liquid architectures; Accelsius and JetCool focus on advanced direct-to-chip approaches. The market therefore remains structurally fragmented across component, system and integration layers, even as hyperscale buyers increasingly prefer suppliers that can guarantee production capacity, engineering consistency and field support across several deployment regions.
Qualification creates a durable barrier to entry because cooling hardware directly interfaces with expensive processors and must operate across long service intervals without leakage, contamination or flow instability. Buyers evaluate pressure drop, thermal resistance, flow balance, material compatibility, filtration, water quality, quick-disconnect reliability, pump redundancy, telemetry and maintenance access. Server OEM relationships matter because cold plates and manifolds must fit rapidly changing board layouts and accelerator generations. Large suppliers gain an advantage from factory test capacity and global service, while specialists can win where they offer superior thermal performance or faster co-design. Consolidation is therefore likely to coexist with specialist innovation as AI rack density continues to increase.
Schneider Electric / Motivair
Vertiv
CoolIT Systems
STULZ
Modine / Airedale
Boyd
nVent
LiquidStack
Submer
Accelsius
JetCool
Market Forces
Market Growth Drivers, Restraints & Commercial Factors
Six market forces shaping demand conversion, deployment timing and supplier economics.
Demand formation is governed by the interaction between processor heat flux, rack density, facility water and power constraints, server qualification cycles, construction schedules and the economics of keeping high-value accelerators fully utilized. Six commercial forces have the strongest influence on how quickly planned AI capacity converts into liquid-cooling revenue. Together, these forces determine whether projects progress from engineering evaluation to repeatable campus-scale procurement and long-term service demand. Procurement decisions also depend on how quickly operators can deploy new heat-removal capacity without disrupting existing mechanical systems, whether the design can scale across multiple rack generations, and whether service organizations can maintain coolant quality, controls and replacement components throughout the facility lifecycle.
Growth Driver: Accelerated computing is raising rack power and heat density faster than conventional room-air systems can economically accommodate. When a rack moves from tens of kilowatts toward triple-digit kilowatt loads, fan energy, airflow volume, duct pressure and hot-spot control become progressively harder to manage. Direct liquid cooling removes heat near the processor, allowing operators to deploy more compute within constrained white space and electrical capacity. This mechanism ties cooling revenue directly to accelerator shipments and AI campus buildouts, while also increasing spend on CDUs, manifolds, hoses, controls and facility interfaces that are not required in traditional air-cooled deployments. The result is a direct commercial link between thermal design limits, deployment schedules and the amount of qualified cooling equipment ordered per AI rack.
Demand Visibility: Hyperscale and colocation procurement is becoming more programmatic because cooling must be committed alongside power, racks and server platforms. High-density AI projects often require hydraulic design, facility-water capacity, prefabricated piping, controls integration, factory acceptance testing and site commissioning months before full compute deployment. That increases forward visibility for suppliers capable of securing framework agreements or reserved manufacturing capacity. Modine’s 2026 long-term capacity agreement covering more than USD 4 billion of Airedale cooling products for 2027–2029 illustrates how large customers are locking in thermal capacity ahead of server delivery, reducing spot purchasing and raising the importance of manufacturing scale.
Technology Upside: Warm-water direct liquid cooling can reduce dependence on mechanical refrigeration when local climate and supply temperatures permit economization, while higher coolant temperatures can improve the feasibility of heat reuse. Liquid-to-air CDUs create another pathway by enabling direct-to-chip server deployment in buildings that do not have a facility-water loop. These options expand the addressable market beyond greenfield AI campuses to existing colocation and enterprise facilities. Technology choice therefore becomes a portfolio decision: operators can deploy centralized liquid-to-liquid systems for maximum density, rack or row CDUs for modular scaling, or immersion where hardware and service procedures can be redesigned around full submersion.
Infrastructure Constraint: Liquid cooling does not eliminate facility constraints; it changes them. Operators must coordinate supply and return temperatures, flow, water quality, pipe routing, floor loading, leak containment, heat exchangers, dry coolers or chillers, and backup power for pumps and controls. A mismatch between server technology cooling system requirements and facility water conditions can delay commissioning even when the compute rack is ready. Brownfield sites face added limitations around pipe routes and heat-rejection capacity. These constraints make engineering services, prefabrication and liquid-to-air transition products commercially important because they reduce the amount of mechanical-plant work required before AI racks can be energized. The result is a direct commercial link between thermal design limits, deployment schedules and the amount of qualified cooling equipment ordered per AI rack.
Supply Restraint: Cold plates, pumps, heat exchangers, quick disconnects, hoses, sensors and control electronics must meet mission-critical reliability standards and often require platform-specific qualification. Rapid accelerator refresh cycles can compress development windows and create obsolescence risk for custom components. Manufacturing must also control cleanliness and leakage at scale, while global projects need regional spare parts and trained field technicians. Capacity additions in India, North America and Europe help, but supplier concentration in specialized components can still create bottlenecks. Buyers increasingly mitigate this risk through dual sourcing, standardized interfaces, factory testing and long-term capacity reservations rather than relying on a single product family.
Commercial Factor: The strongest purchasing case is not simply lower cooling energy; it is higher productive compute density with manageable lifecycle risk. Customers compare total installed cost, available rack power, white-space utilization, pumping energy, water use, maintenance labor, server compatibility, downtime exposure and future upgrade flexibility. A lower-priced CDU can be economically inferior if it constrains flow, lacks redundancy or requires extensive facility modification. Conversely, premium systems can justify higher capital cost when they accelerate deployment or protect high-value accelerators. This pushes suppliers to quantify total infrastructure impact and service performance, making engineering credibility and deployment references increasingly important in competitive bids.
Segmentation
Market Segmentation By Type
Commercial and technical differentiation across type categories.
Leading 2025 segment: Direct-to-Chip Liquid Cooling Systems represented an estimated 63% of market revenue.
By Type separates the market according to the physical cooling product or system that captures, transports or rejects heat. Direct-to-chip systems lead because they integrate closely with current AI server platforms and preserve familiar rack-level service models. CDUs form the hydraulic and thermal boundary between facility infrastructure and IT equipment. Immersion systems provide high heat-transfer capability but require different hardware and maintenance workflows. Rear-door and hybrid systems remain commercially important because they enable staged transitions in facilities that cannot immediately provide a full liquid loop to every rack. Procurement therefore depends on matching thermal performance, service model, facility interface and deployment scale to the specific operating conditions of each category.
Direct-to-Chip Liquid Cooling Systems
Direct-to-chip systems place cold plates directly on CPUs, GPUs or other high-heat components and route coolant through rack manifolds to a CDU. Their commercial advantage is compatibility with conventional rack service while removing a large share of processor heat without requiring full server immersion. Platform-specific engineering, cold-plate thermal resistance and quick-disconnect reliability are key value drivers.
Coolant Distribution Units
CDUs provide pumping, heat exchange, filtration, controls and isolation between the facility water system and the technology cooling system. Product scale ranges from in-rack units serving one rack to row and centralized systems capable of megawatt-class heat transfer. Redundancy, flow stability, telemetry, service access and integration with building controls strongly influence purchasing decisions.
Immersion Cooling Systems
Immersion cooling submerges IT hardware in dielectric fluid and can support high heat flux with low fan dependence. Commercial adoption is strongest where operators can redesign server form factors, service workflows and fluid-management practices around the bath. Fluid compatibility, component warranties, maintenance procedures and vendor ecosystem depth remain important barriers compared with more familiar direct-to-chip deployment.
Rear-Door Heat Exchangers & Hybrid Liquid Systems
Rear-door heat exchangers and hybrid systems remove heat at the rack boundary or combine liquid and air pathways. They are especially relevant for brownfield data centers where full facility-water redesign is difficult or where only selected AI racks require dense cooling. These systems can reduce room-level thermal stress while preserving established server maintenance and aisle layouts.
Segmentation
Market Segmentation By Application
Commercial and technical differentiation across application categories.
Leading 2025 segment: Hyperscale AI Training & Inference Facilities accounted for an estimated 58% of market revenue.
By Application distinguishes where the cooling system creates value for compute operators. Hyperscale AI training and inference sites require repeatable designs that can scale across very large clusters. Colocation operators need flexible solutions that support different customer rack profiles without destabilizing shared mechanical systems. Enterprise and sovereign AI projects emphasize control, security and phased investment, while research supercomputing often prioritizes maximum thermal performance and experimental flexibility. These application differences affect redundancy, service contracting, CDU scale, telemetry requirements and the willingness to redesign facility water or heat-rejection infrastructure. Procurement therefore depends on matching thermal performance, service model, facility interface and deployment scale to the specific operating conditions of each category.
Hyperscale AI Training & Inference Facilities
Hyperscale AI facilities deploy large accelerator clusters with tight coupling between power, network and cooling design. Buyers prioritize repeatable liquid-ready architectures, high-capacity CDUs, factory-tested piping and global service because small commissioning delays can strand expensive compute. Multi-site programs can also justify capacity agreements and standardized controls across regions.
AI/HPC Colocation Facilities
AI/HPC colocation facilities must serve customers with different server generations, coolant requirements and redundancy expectations inside shared infrastructure. Modular CDUs, secondary loops and metered hydraulic zones help operators isolate tenants while preserving facility stability. Commercial differentiation centers on speed-to-capacity, service-level commitments and the ability to retrofit dense racks without rebuilding entire mechanical plants.
Enterprise & Sovereign AI Data Centers
Enterprise and sovereign AI data centers typically scale in phases and place greater emphasis on security, governance and integration with existing facilities. Hybrid liquid-air approaches can reduce transition risk by allowing high-density accelerator zones to coexist with conventional servers. Buyers often value vendor engineering support and predictable maintenance more than maximum theoretical density.
Research Supercomputing & Technical Computing
Research supercomputing and technical computing sites are early adopters of warm-water liquid cooling because sustained workloads create persistent thermal loads and institutions can optimize facilities around specific systems. Procurement frequently emphasizes energy efficiency, heat reuse, scientific uptime and platform customization. These environments provide validation experience that can later influence commercial AI deployments.
Segmentation
Market Segmentation By Interconnect Technology
Commercial and technical differentiation across interconnect technology categories.
Leading technology lens: Cold-Plate Direct Liquid Cooling remains the principal interconnect architecture for current rack-scale AI deployments.
By Interconnect Technology separates the thermal pathway between IT equipment and facility heat rejection. Cold-plate direct liquid cooling uses a technology cooling system with cold plates, manifolds, tubing, quick disconnects and CDUs. Single-phase immersion circulates dielectric liquid without boiling, while two-phase immersion uses phase change to absorb heat and requires fluid containment and vapor management. Liquid-to-air and hybrid architectures transfer heat from a liquid loop back to room air or combine liquid and conventional air systems, making them valuable for brownfield deployments and mixed-density halls. Procurement therefore depends on matching thermal performance, service model, facility interface and deployment scale to the specific operating conditions of each category.
Cold-Plate Direct Liquid Cooling
Cold-plate direct liquid cooling is the dominant current pathway for rack-scale AI because it removes heat directly from the highest-power components while retaining a conventional server chassis. The architecture depends on reliable cold plates, hoses, manifolds, quick disconnects, CDUs and controls, making interface standardization and cleanliness essential for scale.
Single-Phase Immersion Cooling
Single-phase immersion uses a dielectric liquid that remains in the liquid state during operation. It offers uniform component cooling and can reduce fan requirements, but service procedures, hardware compatibility and fluid management differ materially from standard rack operations. Adoption is strongest where operators can control the full IT hardware and maintenance environment.
Two-Phase Immersion Cooling
Two-phase immersion uses boiling and condensation of a dielectric fluid to transport heat. The phase-change mechanism can support high heat flux, but fluid selection, containment, environmental considerations and vapor management add engineering complexity. The segment is therefore more specialized and sensitive to long-term fluid availability and equipment qualification.
Liquid-to-Air & Hybrid Heat-Rejection Architectures
Liquid-to-air and hybrid architectures bridge liquid-cooled IT equipment with conventional data-center heat rejection. Products can use refrigerant or roomair to reject heat from a technology cooling loop, allowing facilities without chilled-water distribution to support direct-to-chip servers. This makes the category important for retrofit, edge and colocation deployments where construction disruption must be minimized.
Segmentation
Market Segmentation By End User
Commercial and technical differentiation across end user categories.
Leading buyer group: Hyperscale Cloud & AI Platform Operators represent the largest concentration of repeat, multi-site procurement.
By End User captures the purchasing organization responsible for infrastructure decisions and lifecycle support. Hyperscale cloud and AI platform operators buy at the largest scale and often influence supplier roadmaps. Colocation operators must balance tenant-specific density with shared cooling infrastructure and contractual service levels. Enterprise and sovereign AI operators place more emphasis on phased deployment, security, data residency and internal engineering capability. HPC laboratories and research institutions often adopt advanced cooling early because scientific workloads demand high sustained utilization and because facilities may be designed specifically for warm-water loops or experimental thermal systems. Procurement therefore depends on matching thermal performance, service model, facility interface and deployment scale to the specific operating conditions of each category.
Hyperscale Cloud & AI Platform Operators
Hyperscale cloud and AI platform operators concentrate the largest repeat procurement because they deploy accelerator clusters across multiple campuses and can standardize cooling architecture at fleet level. Their purchasing power encourages co-development with silicon, server and cooling vendors, while demanding consistent telemetry, spare parts and field support across regions.
Colocation & Wholesale Data Center Operators
Colocation and wholesale operators must support several customer architectures while protecting shared facility systems. They favor modular hydraulic zones, flexible CDU placement and clear metering because tenant density can vary sharply between halls. The ability to introduce liquid cooling incrementally is a competitive advantage when customer demand develops faster than full mechanical-plant upgrades.
Enterprise & Sovereign AI Operators
Enterprise and sovereign AI operators typically prioritize control, security and predictable operating procedures. Projects may begin with a small liquid-cooled cluster inside an existing facility before expanding to dedicated AI halls. Suppliers that can support assessment, retrofit engineering, commissioning and staff training can capture more value than component-only vendors.
HPC Laboratories & Research Institutions
HPC laboratories and research institutions use dense compute for simulation, scientific modeling and national research programs. These buyers often have in-house engineering expertise and can adopt warm-water or experimental architectures earlier than commercial enterprises. Their requirements emphasize sustained utilization, thermal stability, energy efficiency and long service life rather than only rapid fleet replication.
Supply Chain
Supply Chain, Manufacturing Capacity & Procurement
Manufacturing scale, qualification discipline, lead-time exposure and procurement execution.
The liquid-cooling supply chain spans precision cold plates, pumps, plate heat exchangers, quick disconnects, hoses, manifolds, filtration, sensors, control electronics, CDU chassis, immersion tanks, chillers and dry coolers. Unlike conventional mechanical equipment, several components interface directly with server hardware and therefore follow accelerator-specific qualification cycles. Suppliers must control cleanliness, brazing or machining quality, pressure integrity and material compatibility while scaling production rapidly enough to match AI server ramps. Factory acceptance testing and leak testing become central procurement gates because a small defect can expose high-value processors to downtime or damage. This raises the commercial value of vertically coordinated suppliers and validated component ecosystems.
Manufacturing localization is increasing as vendors respond to regional AI construction. Schneider Electric opened a Motivair liquid-cooling factory in Bengaluru in February 2026, its third global production site for the technology, while Modine opened a 100,000-square-foot Chennai facility in August 2025 for Airedale data-center cooling equipment. Modine also committed additional North American capacity and signed a long-term agreement to reserve more than USD 4 billion of cooling-product capacity for a strategic customer through 2029. These moves show that procurement risk is shifting from individual component availability toward guaranteed program capacity, regional service and synchronized delivery with data-center construction schedules.
Procurement strategy increasingly separates standardized infrastructure from platform-specific parts. Facility piping, heat exchangers and some CDU designs can be standardized across several server generations, while cold plates, manifolds and hose routing often change with board layout and accelerator thermal design. Buyers therefore seek modular architectures that isolate rapid IT refresh cycles from longer-lived mechanical infrastructure. Multi-vendor qualification, spare-parts pools, clear coolant specifications and commissioning procedures reduce dependency on one supplier. Long-term service contracts also matter because pump replacement, filter maintenance, water-quality control and leak response continue after installation, making lifecycle support a recurring revenue opportunity rather than a one-time equipment sale.
Infrastructure
Grid Connection & Transmission Investment Outlook
Power-delivery architecture, facility interfaces and infrastructure timing that influence market conversion.
Grid connection affects liquid-cooling revenue indirectly by determining when AI IT load can be energized and how much power density a site can support. Large AI campuses increasingly face power-availability and interconnection constraints, so operators maximize the productivity of secured megawatts by deploying denser compute. That can strengthen the economic case for liquid cooling because more accelerator capacity is placed behind a fixed electrical connection. At the same time, cooling pumps, CDUs, chillers and heat rejection require their own electrical allocation and redundancy. Mechanical and electrical design must therefore be coordinated so that higher IT density does not create an unplanned auxiliary-power bottleneck or reduce available rack power.
Facility water and heat-rejection architecture are equally important to revenue timing. A direct-to-chip rack can be delivered before the building has the required supply temperature, flow, pressure or water chemistry, but it cannot be commissioned safely until those interfaces are ready. Greenfield sites can design facility water loops, dry coolers, chillers and controls around liquid-ready racks from the outset. Brownfield facilities may instead use liquid-to-air CDUs, rear-door systems or localized secondary loops to avoid extensive pipe installation. This creates distinct product opportunities tied to site infrastructure maturity rather than only server demand and explains why retrofit-oriented cooling products are growing alongside centralized systems.
Transmission and generation constraints also shape regional opportunity. Markets with abundant grid capacity can build large greenfield AI campuses and justify centralized megawatt-scale cooling, whereas power-constrained metros may favor phased deployment, efficiency upgrades and retrofit of existing halls. Higher cooling efficiency does not solve interconnection scarcity, but it can improve the share of site power available for revenue-generating compute and reduce auxiliary infrastructure growth. Vendors that can model thermal performance together with electrical and water requirements gain an advantage because operators increasingly evaluate AI-factory design as one integrated capacity problem rather than separate power, IT and mechanical workstreams. The infrastructure decision therefore affects both near-term equipment orders and the timing at which planned AI capacity can enter service.
Architecture
Market Value Chain & Liquid-Cooling System Architecture
System interfaces and revenue pools from facility infrastructure to rack-scale deployment.
The value chain begins with silicon and server thermal requirements, which determine heat flux, allowable component temperature, coolant inlet conditions and rack-level hydraulic demand. Cold-plate and server-cooling suppliers translate those requirements into component designs, while manifold, hose and quick-disconnect vendors create the distribution path inside the rack. CDUs then provide the boundary between the technology cooling system and the facility side, controlling flow, temperature, pressure and heat exchange. Downstream, chillers, dry coolers, cooling towers or refrigerant systems reject heat to the environment. Engineering firms, controls integrators, commissioning teams and service providers connect these layers into an operational system with defined redundancy and maintenance procedures.
Commercial value is distributed unevenly across this architecture. Cold plates and server loops carry high platform-specific engineering content and can scale with processor volume, while CDUs capture significant value through pumps, heat exchangers, controls and redundancy. Facility-side equipment has larger absolute capacity but competes within broader mechanical markets. Integration and service create additional revenue because buyers need hydraulic modeling, water-quality management, controls tuning, leak response and lifecycle maintenance. Suppliers that participate across several layers can bundle design risk and simplify accountability, while specialists can defend attractive positions where thermal performance, component reliability or platform qualification is difficult to replicate. Commercial value concentrates at interfaces where thermal equipment must exchange heat, controls and operating data reliably across the complete cooling chain.
The architecture is also becoming more modular. Rack CDUs, row CDUs and prefabricated piping allow operators to scale liquid cooling in defined blocks instead of committing an entire building at once. Standardized OCP interfaces can improve interoperability, but each deployment still requires verification of coolant chemistry, materials, pressure, flow, redundancy and control logic. The long-lived facility loop must accommodate multiple generations of IT equipment whose thermal requirements can change much faster than the building mechanical plant. Designs that isolate the two sides through plate heat exchangers and configurable controls therefore have strategic value because they reduce the risk that a future server generation forces a complete facility redesign.
Reliability
Reliability Economics & Liquid-Cooling Technical Risk
Failure modes, qualification requirements, serviceability and lifecycle economics.
Reliability economics are unusually important because liquid systems operate next to extremely valuable compute hardware and a cooling interruption can quickly force accelerator throttling or shutdown. Key failure modes include pump loss, blocked filters, flow imbalance, air ingress, connector leakage, seal degradation, corrosion, coolant contamination, sensor drift and control faults. Redundant pumps and power supplies reduce single-point exposure, while leak detection and automatic isolation limit the consequence of a local event. Operators therefore evaluate not only thermal capacity but also fault containment, service access, spare-part strategy and the time required to restore cooling without draining large sections of the system.
Coolant chemistry and material compatibility create lifecycle risk that is less visible during initial commissioning. Metals, elastomers, plastics, inhibitors and biocides must remain stable across temperature and time, while facility water quality can affect heat exchangers and secondary loops. OCP work on coolant fluids, cold plates and CDU test methods reflects the industry need for repeatable specifications. Maintenance programs monitor conductivity, pH, inhibitor condition, filtration and biological growth where applicable. Suppliers with documented compatibility matrices and service procedures can reduce warranty disputes because they clarify which fluids, connectors and cleaning practices are permitted over the operating life of the equipment.
Bankability also depends on qualification against server platforms and facility operating envelopes. A system that performs well in a laboratory may still face deployment risk if it cannot meet required flow at end-of-row pressure, maintain temperature during pump switchover, or provide stable control during rapid AI workload changes. Factory witness testing, hydraulic simulation and staged commissioning are therefore becoming standard elements of large projects. Service contracts further protect uptime by defining response times, spare pumps, filters, sensors and trained technicians. These reliability provisions add cost, but they are economically justified when the cooling system supports racks containing millions of dollars of accelerators whose utilization directly drives revenue or research output.
Timeline
Recent Market Developments
Recent primary-source events with direct implications for market scale, architecture or competition.
May 26, 2026
Modine secures long-term data-center cooling capacity agreement
Modine announced a long-term capacity agreement under which it will reserve more than USD 4 billion of Airedale data-center cooling products for a strategic customer during 2027–2029, supported by a USD 165 million upfront payment. The agreement signals a shift toward capacity reservation for large AI infrastructure programs and reinforces manufacturing scale as a competitive factor.
ModineFebruary 18, 2026
Schneider Electric opens Motivair liquid-cooling factory in Bengaluru
Schneider Electric launched a Motivair liquid-cooling manufacturing facility in Bengaluru, describing it as the technology’s first production site in India and third globally. The investment localizes high-density cooling production for Indian and export demand, improving regional lead times, service access and supply-chain resilience for AI data-center deployments across Asia-Pacific.
Schneider ElectricJanuary 21, 2026
Motivair introduces 2.5 MW CDU platform
Motivair by Schneider Electric introduced the MCDU-70, a 2.5 MW coolant distribution unit designed for high-density AI facilities. The company states that multiple units can operate as a centralized system scaling beyond 10 MW, illustrating the movement of CDU procurement from individual rack support toward data-hall and AI-factory infrastructure.
Schneider ElectricSeptember 29, 2025
Schneider Electric presents integrated Motivair liquid-cooling portfolio
Schneider Electric unveiled its post-acquisition Motivair portfolio covering CDUs, rear-door heat exchangers, liquid-to-air heat dissipation units, dynamic cold plates, chillers, technology cooling loops, software and services. The breadth of the launch demonstrates competitive movement toward end-to-end thermal platforms that can serve hyperscale, colocation and accelerated-computing projects globally.
Schneider ElectricAugust 21, 2025
Modine opens 100,000-square-foot Chennai data-center cooling facility
Modine opened a 100,000-square-foot manufacturing facility in Chennai for Airedale data-center cooling equipment, establishing in-region production for Asia-Pacific customers. The site strengthens local supply for rapidly expanding data-center markets and shows that thermal-management vendors are positioning manufacturing closer to regional AI and colocation construction.
ModineOutlook
AI Datacenter Liquid Cooling Market Outlook, 2026–2034
Forecast conversion, structural catalysts and commercial conditions shaping the next investment cycle.
The AI Datacenter Liquid Cooling Market is estimated at USD 5.35 billion in 2026 and is forecast to reach USD 31.00 billion by 2034, representing a 24.6% CAGR. Growth should remain strongest where accelerator density rises faster than facility operators can expand conventional airflow and where scarce electrical capacity encourages more compute per rack. Direct-to-chip systems and CDUs are positioned to capture the largest near-term revenue pool because they align with current server roadmaps and can be deployed in both greenfield and selected brownfield environments. Immersion remains strategically relevant, but broader adoption depends on service workflows, hardware compatibility and fluid economics.
The market’s structure should become more industrialized over the forecast period. Suppliers are adding regional factories, higher-capacity CDU platforms, standardized controls and long-term production commitments. OCP standardization can reduce interface friction across cold plates, fluids, CDUs, manifolds and quick disconnects, while server OEM qualification will continue to create platform-specific requirements. This combination favors vendors that can maintain a common infrastructure layer while refreshing processor-specific components rapidly. Customers will increasingly evaluate total deployment velocity, lifecycle support and multi-region consistency rather than comparing equipment solely by nameplate cooling capacity or initial purchase price. This reinforces the commercial importance of suppliers that can scale hardware, controls, commissioning and lifecycle support together as AI deployments become denser.
Upside depends on the pace of AI server deployment, rack-density escalation and the availability of power for new campuses. Faster movement toward megawatt-scale rack architectures would increase the value of centralized liquid distribution, while prolonged grid constraints could shift spending toward brownfield retrofits and efficiency upgrades. Water scarcity and local climate will also influence whether projects favor liquid-to-liquid, dry-cooler, refrigerant or hybrid heat rejection. Across these scenarios, the durable commercial thesis is that thermal infrastructure becomes more valuable as processors concentrate greater compute output and heat within each rack, making reliable liquid pathways a core enabling layer of AI-factory economics.
FAQ
Frequently Asked Questions
Concise answers to high-intent questions on market size, technology, regions, suppliers and outlook.
What is the AI Datacenter Liquid Cooling Market size?
The market was valued at USD 4.10 billion in 2025, is estimated at USD 5.35 billion in 2026 and is forecast to reach USD 31.00 billion by 2034, representing a 24.6% CAGR during 2026–2034.
What is driving growth in the AI Datacenter Liquid Cooling Market?
Growth is driven by higher accelerator heat flux, rising rack density, hyperscale AI campus construction, limited white space, the need to improve compute utilization and the growing difficulty of removing triple-digit-kilowatt rack heat loads with room air alone.
Which cooling type leads the market?
Direct-to-Chip Liquid Cooling Systems lead the By Type view, representing an estimated 63% of 2025 revenue. The category benefits from close integration with current AI server architectures and compatibility with established rack service practices.
Which application is the largest?
Hyperscale AI Training & Inference Facilities are the largest application, accounting for an estimated 58% of 2025 revenue because large accelerator clusters require repeatable high-density cooling designs, substantial CDU capacity and coordinated facility integration.
Which region leads the AI datacenter liquid cooling market?
North America leads with an estimated 46% share of 2025 revenue, supported by hyperscale cloud platforms, AI-native infrastructure, colocation capacity, advanced accelerator deployment and a deep ecosystem of cooling suppliers and engineering partners.
What is a coolant distribution unit in an AI data center?
A CDU pumps and conditions coolant while transferring heat between the technology cooling system serving the IT equipment and the facility-side heat-rejection system. It controls flow, temperature, pressure, filtration and monitoring while isolating the two hydraulic loops.
How does direct-to-chip cooling differ from immersion cooling?
Direct-to-chip cooling circulates coolant through cold plates attached to high-heat components while the server remains in a conventional rack. Immersion cooling submerges IT hardware in dielectric fluid and therefore requires different hardware, fluid-management and maintenance practices.
Which companies compete in AI data center liquid cooling?
Key participants include Schneider Electric with Motivair, Vertiv, CoolIT Systems, STULZ, Modine with Airedale, Boyd, nVent, LiquidStack, Submer, Accelsius and JetCool. Their offerings span cold plates, CDUs, immersion platforms, heat rejection and services.
Can existing data centers adopt liquid cooling?
Yes. Brownfield facilities can use rack or row CDUs, rear-door heat exchangers and liquid-to-air systems to support selected high-density racks without immediately rebuilding the entire mechanical plant, although site-specific hydraulic and heat-rejection checks remain necessary.
What is the outlook through 2034?
The outlook remains expansionary as AI rack density rises and suppliers industrialize liquid-cooling production. Market conversion will depend on grid access, facility-water readiness, server qualification, regional manufacturing capacity and the ability to deploy reliable thermal systems in both greenfield and retrofit environments.
01
CHAPTER 01
Introduction to Research & Analysis Reports
13 sections
⌄
1.1
AI Datacenter Liquid Cooling Market Definition
1.2
Market Segments
1.2.1
Segment by Type
1.2.2
Segment by Power Density
1.2.3
Segment by Price Tier (Per kW)
1.2.4
Segment by Application
1.3
Global AI Datacenter Liquid Cooling Market Overview
1.4
Features & Benefits of This Report
1.5
Methodology & Sources of Information
1.5.1
Research Methodology
1.5.2
Research Process
1.5.3
Base Year
1.5.4
Report Assumptions & Caveats
02
CHAPTER 02
Global AI Datacenter Liquid Cooling Overall Market Size
3 sections
⌄
2.1
Global AI Datacenter Liquid Cooling Market Size: 2025 VS 2034
2.2
Global AI Datacenter Liquid Cooling Market Size, Prospects & Forecasts: 2021-2034
2.3
Global AI Datacenter Liquid Cooling Sales: 2021-2034
03
CHAPTER 03
Company Landscape
10 sections
⌄
3.1
Top AI Datacenter Liquid Cooling Players in Global Market
3.2
Top Global AI Datacenter Liquid Cooling Companies Ranked by Revenue
3.3
Global AI Datacenter Liquid Cooling Revenue by Companies
3.4
Global AI Datacenter Liquid Cooling Sales by Companies
3.5
Global AI Datacenter Liquid Cooling Price by Manufacturer (2021-2026)
3.6
Top 3 and Top 5 AI Datacenter Liquid Cooling Companies in Global Market, by Revenue in 2025
3.7
Global Manufacturers AI Datacenter Liquid Cooling Product Type
3.8
Tier 1, Tier 2, and Tier 3 AI Datacenter Liquid Cooling Players in Global Market
3.8.1
List of Global Tier 1 AI Datacenter Liquid Cooling Companies
3.8.2
List of Global Tier 2 and Tier 3 AI Datacenter Liquid Cooling Companies
04
CHAPTER 04
Sights by Type
13 sections
⌄
4.1
Overview
4.1.1
Segment by Type - Global AI Datacenter Liquid Cooling Market Size Markets, 2025 & 2034
4.1.2
Liquid-to-Air (L2A) Cooling
4.1.3
Liquid-to-Liquid (L2L) Cooling
4.2
Segment by Type - Global AI Datacenter Liquid Cooling Revenue & Forecasts
4.2.1
Segment by Type - Global AI Datacenter Liquid Cooling Revenue, 2021-2026
4.2.2
Segment by Type - Global AI Datacenter Liquid Cooling Revenue, 2027-2034
4.2.3
Segment by Type - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
4.3
Segment by Type - Global AI Datacenter Liquid Cooling Sales & Forecasts
4.3.1
Segment by Type - Global AI Datacenter Liquid Cooling Sales, 2021-2026
4.3.2
Segment by Type - Global AI Datacenter Liquid Cooling Sales, 2027-2034
4.3.3
Segment by Type - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
4.4
Segment by Type - Global AI Datacenter Liquid Cooling Price (Manufacturers Selling Prices), 2021-2034
05
CHAPTER 05
Sights by Power Density
14 sections
⌄
5.1
Overview
5.1.1
Segment by Power Density - Global AI Datacenter Liquid Cooling Market Size Markets, 2025 & 2034
5.1.2
Medium Density (50-100 kW/rack)
5.1.3
High Density (100-200 kW/rack)
5.1.4
Ultra-High Density (> 200 kW/rack)
5.2
Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue & Forecasts
5.2.1
Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue, 2021-2026
5.2.2
Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue, 2027-2034
5.2.3
Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
5.3
Segment by Power Density - Global AI Datacenter Liquid Cooling Sales & Forecasts
5.3.1
Segment by Power Density - Global AI Datacenter Liquid Cooling Sales, 2021-2026
5.3.2
Segment by Power Density - Global AI Datacenter Liquid Cooling Sales, 2027-2034
5.3.3
Segment by Power Density - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
5.4
Segment by Power Density - Global AI Datacenter Liquid Cooling Price (Manufacturers Selling Prices), 2021-2034
06
CHAPTER 06
Sights by Price Tier (Per kW)
14 sections
⌄
6.1
Overview
6.1.1
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Market Size Markets, 2025 & 2034
6.1.2
Economy / Cold Plate (< US$2,000/kW)
6.1.3
Standard / L2A (US$2,000-3,500/kW)
6.1.4
Premium / Immersion (> US$3,500/kW)
6.2
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue & Forecasts
6.2.1
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue, 2021-2026
6.2.2
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue, 2027-2034
6.2.3
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
6.3
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales & Forecasts
6.3.1
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales, 2021-2026
6.3.2
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales, 2027-2034
6.3.3
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
6.4
Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Price (Manufacturers Selling Prices), 2021-2034
07
CHAPTER 07
Sights by Application
16 sections
⌄
7.1
Overview
7.1.1
Segment by Application - Global AI Datacenter Liquid Cooling Market Size, 2025 & 2034
7.1.2
Hyperscale Data Centers
7.1.3
Colocation Data Centers
7.1.4
AI Training Clusters
7.1.5
Edge Computing Infrastructure
7.1.6
Others
7.2
Segment by Application - Global AI Datacenter Liquid Cooling Revenue & Forecasts
7.2.1
Segment by Application - Global AI Datacenter Liquid Cooling Revenue, 2021-2026
7.2.2
Segment by Application - Global AI Datacenter Liquid Cooling Revenue, 2027-2034
7.2.3
Segment by Application - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
7.3
Segment by Application - Global AI Datacenter Liquid Cooling Sales & Forecasts
7.3.1
Segment by Application - Global AI Datacenter Liquid Cooling Sales, 2021-2026
7.3.2
Segment by Application - Global AI Datacenter Liquid Cooling Sales, 2027-2034
7.3.3
Segment by Application - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
7.4
Segment by Application - Global AI Datacenter Liquid Cooling Price (Manufacturers Selling Prices), 2021-2034
08
CHAPTER 08
Sights Region
45 sections
⌄
8.1
By Region - Global AI Datacenter Liquid Cooling Market Size, 2025 & 2034
8.2
By Region - Global AI Datacenter Liquid Cooling Revenue & Forecasts
8.2.1
By Region - Global AI Datacenter Liquid Cooling Revenue, 2021-2026
8.2.2
By Region - Global AI Datacenter Liquid Cooling Revenue, 2027-2034
8.2.3
By Region - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
8.3
By Region - Global AI Datacenter Liquid Cooling Sales & Forecasts
8.3.1
By Region - Global AI Datacenter Liquid Cooling Sales, 2021-2026
8.3.2
By Region - Global AI Datacenter Liquid Cooling Sales, 2027-2034
8.3.3
By Region - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
8.4
North America
8.4.1
By Country - North America AI Datacenter Liquid Cooling Revenue, 2021-2034
8.4.2
By Country - North America AI Datacenter Liquid Cooling Sales, 2021-2034
8.4.3
United States AI Datacenter Liquid Cooling Market Size, 2021-2034
8.4.4
Canada AI Datacenter Liquid Cooling Market Size, 2021-2034
8.4.5
Mexico AI Datacenter Liquid Cooling Market Size, 2021-2034
8.5
Europe
8.5.1
By Country - Europe AI Datacenter Liquid Cooling Revenue, 2021-2034
8.5.2
By Country - Europe AI Datacenter Liquid Cooling Sales, 2021-2034
8.5.3
Germany AI Datacenter Liquid Cooling Market Size, 2021-2034
8.5.4
France AI Datacenter Liquid Cooling Market Size, 2021-2034
8.5.5
U.K. AI Datacenter Liquid Cooling Market Size, 2021-2034
8.5.6
Italy AI Datacenter Liquid Cooling Market Size, 2021-2034
8.5.7
Russia AI Datacenter Liquid Cooling Market Size, 2021-2034
8.5.8
Nordic Countries AI Datacenter Liquid Cooling Market Size, 2021-2034
8.5.9
Benelux AI Datacenter Liquid Cooling Market Size, 2021-2034
8.6
Asia
8.6.1
By Region - Asia AI Datacenter Liquid Cooling Revenue, 2021-2034
8.6.2
By Region - Asia AI Datacenter Liquid Cooling Sales, 2021-2034
8.6.3
China AI Datacenter Liquid Cooling Market Size, 2021-2034
8.6.4
Japan AI Datacenter Liquid Cooling Market Size, 2021-2034
8.6.5
South Korea AI Datacenter Liquid Cooling Market Size, 2021-2034
8.6.6
Southeast Asia AI Datacenter Liquid Cooling Market Size, 2021-2034
8.6.7
India AI Datacenter Liquid Cooling Market Size, 2021-2034
8.7
South America
8.7.1
By Country - South America AI Datacenter Liquid Cooling Revenue, 2021-2034
8.7.2
By Country - South America AI Datacenter Liquid Cooling Sales, 2021-2034
8.7.3
Brazil AI Datacenter Liquid Cooling Market Size, 2021-2034
8.7.4
Argentina AI Datacenter Liquid Cooling Market Size, 2021-2034
8.8
Middle East & Africa
8.8.1
By Country - Middle East & Africa AI Datacenter Liquid Cooling Revenue, 2021-2034
8.8.2
By Country - Middle East & Africa AI Datacenter Liquid Cooling Sales, 2021-2034
8.8.3
Turkey AI Datacenter Liquid Cooling Market Size, 2021-2034
8.8.4
Israel AI Datacenter Liquid Cooling Market Size, 2021-2034
8.8.5
Saudi Arabia AI Datacenter Liquid Cooling Market Size, 2021-2034
8.8.6
UAE AI Datacenter Liquid Cooling Market Size, 2021-2034
09
CHAPTER 09
Manufacturers & Brands Profiles
150 sections
⌄
9.1
Vertiv Holdings Co.
9.1.1
Vertiv Holdings Co. Company Summary
9.1.2
Vertiv Holdings Co. Business Overview
9.1.3
Vertiv Holdings Co. AI Datacenter Liquid Cooling Major Product Offerings
9.1.4
Vertiv Holdings Co. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.1.5
Vertiv Holdings Co. Key News & Latest Developments
9.2
Schneider Electric SE
9.2.1
Schneider Electric SE Company Summary
9.2.2
Schneider Electric SE Business Overview
9.2.3
Schneider Electric SE AI Datacenter Liquid Cooling Major Product Offerings
9.2.4
Schneider Electric SE AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.2.5
Schneider Electric SE Key News & Latest Developments
9.3
nVent Electric Plc
9.3.1
nVent Electric Plc Company Summary
9.3.2
nVent Electric Plc Business Overview
9.3.3
nVent Electric Plc AI Datacenter Liquid Cooling Major Product Offerings
9.3.4
nVent Electric Plc AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.3.5
nVent Electric Plc Key News & Latest Developments
9.4
CoolIT Systems Inc.
9.4.1
CoolIT Systems Inc. Company Summary
9.4.2
CoolIT Systems Inc. Business Overview
9.4.3
CoolIT Systems Inc. AI Datacenter Liquid Cooling Major Product Offerings
9.4.4
CoolIT Systems Inc. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.4.5
CoolIT Systems Inc. Key News & Latest Developments
9.5
Motivair Corporation
9.5.1
Motivair Corporation Company Summary
9.5.2
Motivair Corporation Business Overview
9.5.3
Motivair Corporation AI Datacenter Liquid Cooling Major Product Offerings
9.5.4
Motivair Corporation AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.5.5
Motivair Corporation Key News & Latest Developments
9.6
Asetek Danmark AS
9.6.1
Asetek Danmark AS Company Summary
9.6.2
Asetek Danmark AS Business Overview
9.6.3
Asetek Danmark AS AI Datacenter Liquid Cooling Major Product Offerings
9.6.4
Asetek Danmark AS AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.6.5
Asetek Danmark AS Key News & Latest Developments
9.7
Iceotope Technologies Ltd.
9.7.1
Iceotope Technologies Ltd. Company Summary
9.7.2
Iceotope Technologies Ltd. Business Overview
9.7.3
Iceotope Technologies Ltd. AI Datacenter Liquid Cooling Major Product Offerings
9.7.4
Iceotope Technologies Ltd. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.7.5
Iceotope Technologies Ltd. Key News & Latest Developments
9.8
LiquidStack BV
9.8.1
LiquidStack BV Company Summary
9.8.2
LiquidStack BV Business Overview
9.8.3
LiquidStack BV AI Datacenter Liquid Cooling Major Product Offerings
9.8.4
LiquidStack BV AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.8.5
LiquidStack BV Key News & Latest Developments
9.9
Boyd Corporation
9.9.1
Boyd Corporation Company Summary
9.9.2
Boyd Corporation Business Overview
9.9.3
Boyd Corporation AI Datacenter Liquid Cooling Major Product Offerings
9.9.4
Boyd Corporation AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.9.5
Boyd Corporation Key News & Latest Developments
9.10
Delta Electronics Inc.
9.10.1
Delta Electronics Inc. Company Summary
9.10.2
Delta Electronics Inc. Business Overview
9.10.3
Delta Electronics Inc. AI Datacenter Liquid Cooling Major Product Offerings
9.10.4
Delta Electronics Inc. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.10.5
Delta Electronics Inc. Key News & Latest Developments
9.11
STULZ GmbH
9.11.1
STULZ GmbH Company Summary
9.11.2
STULZ GmbH Business Overview
9.11.3
STULZ GmbH AI Datacenter Liquid Cooling Major Product Offerings
9.11.4
STULZ GmbH AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.11.5
STULZ GmbH Key News & Latest Developments
9.12
Rittal GmbH & Co. KG
9.12.1
Rittal GmbH & Co. KG Company Summary
9.12.2
Rittal GmbH & Co. KG Business Overview
9.12.3
Rittal GmbH & Co. KG AI Datacenter Liquid Cooling Major Product Offerings
9.12.4
Rittal GmbH & Co. KG AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.12.5
Rittal GmbH & Co. KG Key News & Latest Developments
9.13
Dell Technologies Inc.
9.13.1
Dell Technologies Inc. Company Summary
9.13.2
Dell Technologies Inc. Business Overview
9.13.3
Dell Technologies Inc. AI Datacenter Liquid Cooling Major Product Offerings
9.13.4
Dell Technologies Inc. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.13.5
Dell Technologies Inc. Key News & Latest Developments
9.14
Hewlett Packard Enterprise Co.
9.14.1
Hewlett Packard Enterprise Co. Company Summary
9.14.2
Hewlett Packard Enterprise Co. Business Overview
9.14.3
Hewlett Packard Enterprise Co. AI Datacenter Liquid Cooling Major Product Offerings
9.14.4
Hewlett Packard Enterprise Co. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.14.5
Hewlett Packard Enterprise Co. Key News & Latest Developments
9.15
Lenovo Group Ltd.
9.15.1
Lenovo Group Ltd. Company Summary
9.15.2
Lenovo Group Ltd. Business Overview
9.15.3
Lenovo Group Ltd. AI Datacenter Liquid Cooling Major Product Offerings
9.15.4
Lenovo Group Ltd. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.15.5
Lenovo Group Ltd. Key News & Latest Developments
9.16
Super Micro Computer Inc.
9.16.1
Super Micro Computer Inc. Company Summary
9.16.2
Super Micro Computer Inc. Business Overview
9.16.3
Super Micro Computer Inc. AI Datacenter Liquid Cooling Major Product Offerings
9.16.4
Super Micro Computer Inc. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.16.5
Super Micro Computer Inc. Key News & Latest Developments
9.17
Fujitsu Ltd.
9.17.1
Fujitsu Ltd. Company Summary
9.17.2
Fujitsu Ltd. Business Overview
9.17.3
Fujitsu Ltd. AI Datacenter Liquid Cooling Major Product Offerings
9.17.4
Fujitsu Ltd. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.17.5
Fujitsu Ltd. Key News & Latest Developments
9.18
Danfoss AS
9.18.1
Danfoss AS Company Summary
9.18.2
Danfoss AS Business Overview
9.18.3
Danfoss AS AI Datacenter Liquid Cooling Major Product Offerings
9.18.4
Danfoss AS AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.18.5
Danfoss AS Key News & Latest Developments
9.19
Chilldyne
9.19.1
Chilldyne Company Summary
9.19.2
Chilldyne Business Overview
9.19.3
Chilldyne AI Datacenter Liquid Cooling Major Product Offerings
9.19.4
Chilldyne AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.19.5
Chilldyne Key News & Latest Developments
9.20
Auras Technology Co., Ltd.
9.20.1
Auras Technology Co., Ltd. Company Summary
9.20.2
Auras Technology Co., Ltd. Business Overview
9.20.3
Auras Technology Co., Ltd. AI Datacenter Liquid Cooling Major Product Offerings
9.20.4
Auras Technology Co., Ltd. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.20.5
Auras Technology Co., Ltd. Key News & Latest Developments
9.21
AVC (Asia Vital Components)
9.21.1
AVC (Asia Vital Components) Company Summary
9.21.2
AVC (Asia Vital Components) Business Overview
9.21.3
AVC (Asia Vital Components) AI Datacenter Liquid Cooling Major Product Offerings
9.21.4
AVC (Asia Vital Components) AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.21.5
AVC (Asia Vital Components) Key News & Latest Developments
9.22
Cooler Master Co., Ltd.
9.22.1
Cooler Master Co., Ltd. Company Summary
9.22.2
Cooler Master Co., Ltd. Business Overview
9.22.3
Cooler Master Co., Ltd. AI Datacenter Liquid Cooling Major Product Offerings
9.22.4
Cooler Master Co., Ltd. AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.22.5
Cooler Master Co., Ltd. Key News & Latest Developments
9.23
Envicool
9.23.1
Envicool Company Summary
9.23.2
Envicool Business Overview
9.23.3
Envicool AI Datacenter Liquid Cooling Major Product Offerings
9.23.4
Envicool AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.23.5
Envicool Key News & Latest Developments
9.24
Goaland
9.24.1
Goaland Company Summary
9.24.2
Goaland Business Overview
9.24.3
Goaland AI Datacenter Liquid Cooling Major Product Offerings
9.24.4
Goaland AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.24.5
Goaland Key News & Latest Developments
9.25
Shenling
9.25.1
Shenling Company Summary
9.25.2
Shenling Business Overview
9.25.3
Shenling AI Datacenter Liquid Cooling Major Product Offerings
9.25.4
Shenling AI Datacenter Liquid Cooling Sales and Revenue in Global (2021-2026)
9.25.5
Shenling Key News & Latest Developments
10
CHAPTER 10
Global AI Datacenter Liquid Cooling Production Capacity, Analysis
3 sections
⌄
10.1
Global AI Datacenter Liquid Cooling Production Capacity, 2021-2034
10.2
AI Datacenter Liquid Cooling Production Capacity of Key Manufacturers in Global Market
10.3
Global AI Datacenter Liquid Cooling Production by Region
11
CHAPTER 11
Key Market Trends, Opportunity, Drivers and Restraints
3 sections
⌄
11.1
Market Opportunities & Trends
11.2
Market Drivers
11.3
Market Restraints
12
CHAPTER 12
AI Datacenter Liquid Cooling Supply Chain Analysis
6 sections
⌄
12.1
AI Datacenter Liquid Cooling Industry Value Chain
12.2
AI Datacenter Liquid Cooling Upstream Market
12.3
AI Datacenter Liquid Cooling Downstream and Clients
12.4
Marketing Channels Analysis
12.4.1
Marketing Channels
12.4.2
AI Datacenter Liquid Cooling Distributors and Sales Agents in Global
13
CHAPTER 13
Conclusion
0 sections
⌄
14
CHAPTER 14
Appendix
3 sections
⌄
14.1
Note
14.2
Examples of Clients
14.3
Disclaimer
List of Tables
Table 1. Key Players of AI Datacenter Liquid Cooling in Global Market
Table 2. Top AI Datacenter Liquid Cooling Players in Global Market, Ranking by Revenue (2025)
Table 3. Global AI Datacenter Liquid Cooling Revenue by Companies, (US$, Mn), 2021-2026
Table 4. Global AI Datacenter Liquid Cooling Revenue Share by Companies, 2021-2026
Table 5. Global AI Datacenter Liquid Cooling Sales by Companies, (MW), 2021-2026
Table 6. Global AI Datacenter Liquid Cooling Sales Share by Companies, 2021-2026
Table 7. Key Manufacturers AI Datacenter Liquid Cooling Price (2021-2026) & (US$/KW)
Table 8. Global Manufacturers AI Datacenter Liquid Cooling Product Type
Table 9. List of Global Tier 1 AI Datacenter Liquid Cooling Companies, Revenue (US$, Mn) in 2025 and Market Share
Table 10. List of Global Tier 2 and Tier 3 AI Datacenter Liquid Cooling Companies, Revenue (US$, Mn) in 2025 and Market Share
Table 11. Segment by Type – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 12. Segment by Type - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2021-2026
Table 13. Segment by Type - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2027-2034
Table 14. Segment by Type - Global AI Datacenter Liquid Cooling Sales (MW), 2021-2026
Table 15. Segment by Type - Global AI Datacenter Liquid Cooling Sales (MW), 2027-2034
Table 16. Segment by Power Density – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 17. Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2021-2026
Table 18. Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2027-2034
Table 19. Segment by Power Density - Global AI Datacenter Liquid Cooling Sales (MW), 2021-2026
Table 20. Segment by Power Density - Global AI Datacenter Liquid Cooling Sales (MW), 2027-2034
Table 21. Segment by Price Tier (Per kW) – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 22. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2021-2026
Table 23. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2027-2034
Table 24. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales (MW), 2021-2026
Table 25. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales (MW), 2027-2034
Table 26. Segment by Application – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 27. Segment by Application - Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 28. Segment by Application - Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 29. Segment by Application - Global AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 30. Segment by Application - Global AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 31. By Region – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 32. By Region - Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 33. By Region - Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 34. By Region - Global AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 35. By Region - Global AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 36. By Country - North America AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 37. By Country - North America AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 38. By Country - North America AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 39. By Country - North America AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 40. By Country - Europe AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 41. By Country - Europe AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 42. By Country - Europe AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 43. By Country - Europe AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 44. By Region - Asia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 45. By Region - Asia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 46. By Region - Asia AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 47. By Region - Asia AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 48. By Country - South America AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 49. By Country - South America AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 50. By Country - South America AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 51. By Country - South America AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 52. By Country - Middle East & Africa AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 53. By Country - Middle East & Africa AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 54. By Country - Middle East & Africa AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 55. By Country - Middle East & Africa AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 56. Vertiv Holdings Co. Company Summary
Table 57. Vertiv Holdings Co. AI Datacenter Liquid Cooling Product Offerings
Table 58. Vertiv Holdings Co. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 59. Vertiv Holdings Co. Key News & Latest Developments
Table 60. Schneider Electric SE Company Summary
Table 61. Schneider Electric SE AI Datacenter Liquid Cooling Product Offerings
Table 62. Schneider Electric SE AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 63. Schneider Electric SE Key News & Latest Developments
Table 64. nVent Electric Plc Company Summary
Table 65. nVent Electric Plc AI Datacenter Liquid Cooling Product Offerings
Table 66. nVent Electric Plc AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 67. nVent Electric Plc Key News & Latest Developments
Table 68. CoolIT Systems Inc. Company Summary
Table 69. CoolIT Systems Inc. AI Datacenter Liquid Cooling Product Offerings
Table 70. CoolIT Systems Inc. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 71. CoolIT Systems Inc. Key News & Latest Developments
Table 72. Motivair Corporation Company Summary
Table 73. Motivair Corporation AI Datacenter Liquid Cooling Product Offerings
Table 74. Motivair Corporation AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 75. Motivair Corporation Key News & Latest Developments
Table 76. Asetek Danmark AS Company Summary
Table 77. Asetek Danmark AS AI Datacenter Liquid Cooling Product Offerings
Table 78. Asetek Danmark AS AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 79. Asetek Danmark AS Key News & Latest Developments
Table 80. Iceotope Technologies Ltd. Company Summary
Table 81. Iceotope Technologies Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 82. Iceotope Technologies Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 83. Iceotope Technologies Ltd. Key News & Latest Developments
Table 84. LiquidStack BV Company Summary
Table 85. LiquidStack BV AI Datacenter Liquid Cooling Product Offerings
Table 86. LiquidStack BV AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 87. LiquidStack BV Key News & Latest Developments
Table 88. Boyd Corporation Company Summary
Table 89. Boyd Corporation AI Datacenter Liquid Cooling Product Offerings
Table 90. Boyd Corporation AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 91. Boyd Corporation Key News & Latest Developments
Table 92. Delta Electronics Inc. Company Summary
Table 93. Delta Electronics Inc. AI Datacenter Liquid Cooling Product Offerings
Table 94. Delta Electronics Inc. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 95. Delta Electronics Inc. Key News & Latest Developments
Table 96. STULZ GmbH Company Summary
Table 97. STULZ GmbH AI Datacenter Liquid Cooling Product Offerings
Table 98. STULZ GmbH AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 99. STULZ GmbH Key News & Latest Developments
Table 100. Rittal GmbH & Co. KG Company Summary
Table 101. Rittal GmbH & Co. KG AI Datacenter Liquid Cooling Product Offerings
Table 102. Rittal GmbH & Co. KG AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 103. Rittal GmbH & Co. KG Key News & Latest Developments
Table 104. Dell Technologies Inc. Company Summary
Table 105. Dell Technologies Inc. AI Datacenter Liquid Cooling Product Offerings
Table 106. Dell Technologies Inc. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 107. Dell Technologies Inc. Key News & Latest Developments
Table 108. Hewlett Packard Enterprise Co. Company Summary
Table 109. Hewlett Packard Enterprise Co. AI Datacenter Liquid Cooling Product Offerings
Table 110. Hewlett Packard Enterprise Co. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 111. Hewlett Packard Enterprise Co. Key News & Latest Developments
Table 112. Lenovo Group Ltd. Company Summary
Table 113. Lenovo Group Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 114. Lenovo Group Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 115. Lenovo Group Ltd. Key News & Latest Developments
Table 116. Super Micro Computer Inc. Company Summary
Table 117. Super Micro Computer Inc. AI Datacenter Liquid Cooling Product Offerings
Table 118. Super Micro Computer Inc. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 119. Super Micro Computer Inc. Key News & Latest Developments
Table 120. Fujitsu Ltd. Company Summary
Table 121. Fujitsu Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 122. Fujitsu Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 123. Fujitsu Ltd. Key News & Latest Developments
Table 124. Danfoss AS Company Summary
Table 125. Danfoss AS AI Datacenter Liquid Cooling Product Offerings
Table 126. Danfoss AS AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 127. Danfoss AS Key News & Latest Developments
Table 128. Chilldyne Company Summary
Table 129. Chilldyne AI Datacenter Liquid Cooling Product Offerings
Table 130. Chilldyne AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 131. Chilldyne Key News & Latest Developments
Table 132. Auras Technology Co., Ltd. Company Summary
Table 133. Auras Technology Co., Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 134. Auras Technology Co., Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 135. Auras Technology Co., Ltd. Key News & Latest Developments
Table 136. AVC (Asia Vital Components) Company Summary
Table 137. AVC (Asia Vital Components) AI Datacenter Liquid Cooling Product Offerings
Table 138. AVC (Asia Vital Components) AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 139. AVC (Asia Vital Components) Key News & Latest Developments
Table 140. Cooler Master Co., Ltd. Company Summary
Table 141. Cooler Master Co., Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 142. Cooler Master Co., Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 143. Cooler Master Co., Ltd. Key News & Latest Developments
Table 144. Envicool Company Summary
Table 145. Envicool AI Datacenter Liquid Cooling Product Offerings
Table 146. Envicool AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 147. Envicool Key News & Latest Developments
Table 148. Goaland Company Summary
Table 149. Goaland AI Datacenter Liquid Cooling Product Offerings
Table 150. Goaland AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 151. Goaland Key News & Latest Developments
Table 152. Shenling Company Summary
Table 153. Shenling AI Datacenter Liquid Cooling Product Offerings
Table 154. Shenling AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 155. Shenling Key News & Latest Developments
Table 156. AI Datacenter Liquid Cooling Capacity of Key Manufacturers in Global Market, 2024-2026 (MW)
Table 157. Global AI Datacenter Liquid Cooling Capacity Market Share of Key Manufacturers, 2024-2026
Table 158. Global AI Datacenter Liquid Cooling Production by Region, 2021-2026 (MW)
Table 159. Global AI Datacenter Liquid Cooling Production by Region, 2027-2034 (MW)
Table 160. AI Datacenter Liquid Cooling Market Opportunities & Trends in Global Market
Table 161. AI Datacenter Liquid Cooling Market Drivers in Global Market
Table 162. AI Datacenter Liquid Cooling Market Restraints in Global Market
Table 163. AI Datacenter Liquid Cooling Raw Materials
Table 164. AI Datacenter Liquid Cooling Raw Materials Suppliers in Global Market
Table 165. Typical AI Datacenter Liquid Cooling Downstream
Table 166. AI Datacenter Liquid Cooling Downstream Clients in Global Market
Table 167. AI Datacenter Liquid Cooling Distributors and Sales Agents in Global Market
List of Figures
Figure 1. AI Datacenter Liquid Cooling Product Picture
Figure 2. AI Datacenter Liquid Cooling Segment by Type in 2025
Figure 3. AI Datacenter Liquid Cooling Segment by Power Density in 2025
Figure 4. AI Datacenter Liquid Cooling Segment by Price Tier (Per kW) in 2025
Figure 5. AI Datacenter Liquid Cooling Segment by Application in 2025
Figure 6. Global AI Datacenter Liquid Cooling Market Overview: 2025
Figure 7. Key Caveats
Figure 8. Global AI Datacenter Liquid Cooling Market Size: 2025 VS 2034 (US$, Mn)
Figure 9. Global AI Datacenter Liquid Cooling Revenue: 2021-2034 (US$, Mn)
Figure 10. AI Datacenter Liquid Cooling Sales in Global Market: 2021-2034 (MW)
Figure 11. The Top 3 and 5 Players Market Share by AI Datacenter Liquid Cooling Revenue in 2025
Figure 12. Segment by Type – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 13. Segment by Type - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 14. Segment by Type - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 15. Segment by Type - Global AI Datacenter Liquid Cooling Price (US$/KW), 2021-2034
Figure 16. Segment by Power Density – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 17. Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 18. Segment by Power Density - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 19. Segment by Power Density - Global AI Datacenter Liquid Cooling Price (US$/KW), 2021-2034
Figure 20. Segment by Price Tier (Per kW) – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 21. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 22. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 23. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Price (US$/KW), 2021-2034
Figure 24. Segment by Application – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 25. Segment by Application - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 26. Segment by Application - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 27. Segment by Application -Global AI Datacenter Liquid Cooling Price (US$/KW), 2021-2034
Figure 28. By Region – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 29. By Region - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021 VS 2025 VS 2034
Figure 30. By Region - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 31. By Region - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 32. By Country - North America AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 33. By Country - North America AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 34. United States AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 35. Canada AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 36. Mexico AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 37. By Country - Europe AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 38. By Country - Europe AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 39. Germany AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 40. France AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 41. U.K. AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 42. Italy AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 43. Russia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 44. Nordic Countries AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 45. Benelux AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 46. By Region - Asia AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 47. By Region - Asia AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 48. China AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 49. Japan AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 50. South Korea AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 51. Southeast Asia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 52. India AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 53. By Country - South America AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 54. By Country - South America AI Datacenter Liquid Cooling Sales, Market Share, 2021-2034
Figure 55. Brazil AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 56. Argentina AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 57. By Country - Middle East & Africa AI Datacenter Liquid Cooling Revenue, Market Share, 2021-2034
Figure 58. By Country - Middle East & Africa AI Datacenter Liquid Cooling Sales, Market Share, 2021-2034
Figure 59. Turkey AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 60. Israel AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 61. Saudi Arabia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 62. UAE AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 63. Global AI Datacenter Liquid Cooling Production Capacity (MW), 2021-2034
Figure 64. The Percentage of Production AI Datacenter Liquid Cooling by Region, 2025 VS 2034
Figure 65. AI Datacenter Liquid Cooling Industry Value Chain
Figure 66. Marketing Channels
List of Tables
Table 1. Key Players of AI Datacenter Liquid Cooling in Global Market
Table 2. Top AI Datacenter Liquid Cooling Players in Global Market, Ranking by Revenue (2025)
Table 3. Global AI Datacenter Liquid Cooling Revenue by Companies, (US$, Mn), 2021-2026
Table 4. Global AI Datacenter Liquid Cooling Revenue Share by Companies, 2021-2026
Table 5. Global AI Datacenter Liquid Cooling Sales by Companies, (MW), 2021-2026
Table 6. Global AI Datacenter Liquid Cooling Sales Share by Companies, 2021-2026
Table 7. Key Manufacturers AI Datacenter Liquid Cooling Price (2021-2026) & (US$/KW)
Table 8. Global Manufacturers AI Datacenter Liquid Cooling Product Type
Table 9. List of Global Tier 1 AI Datacenter Liquid Cooling Companies, Revenue (US$, Mn) in 2025 and Market Share
Table 10. List of Global Tier 2 and Tier 3 AI Datacenter Liquid Cooling Companies, Revenue (US$, Mn) in 2025 and Market Share
Table 11. Segment by Type – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 12. Segment by Type - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2021-2026
Table 13. Segment by Type - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2027-2034
Table 14. Segment by Type - Global AI Datacenter Liquid Cooling Sales (MW), 2021-2026
Table 15. Segment by Type - Global AI Datacenter Liquid Cooling Sales (MW), 2027-2034
Table 16. Segment by Power Density – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 17. Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2021-2026
Table 18. Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2027-2034
Table 19. Segment by Power Density - Global AI Datacenter Liquid Cooling Sales (MW), 2021-2026
Table 20. Segment by Power Density - Global AI Datacenter Liquid Cooling Sales (MW), 2027-2034
Table 21. Segment by Price Tier (Per kW) – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 22. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2021-2026
Table 23. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue (US$, Mn), 2027-2034
Table 24. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales (MW), 2021-2026
Table 25. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales (MW), 2027-2034
Table 26. Segment by Application – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 27. Segment by Application - Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 28. Segment by Application - Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 29. Segment by Application - Global AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 30. Segment by Application - Global AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 31. By Region – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Table 32. By Region - Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 33. By Region - Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 34. By Region - Global AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 35. By Region - Global AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 36. By Country - North America AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 37. By Country - North America AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 38. By Country - North America AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 39. By Country - North America AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 40. By Country - Europe AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 41. By Country - Europe AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 42. By Country - Europe AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 43. By Country - Europe AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 44. By Region - Asia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 45. By Region - Asia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 46. By Region - Asia AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 47. By Region - Asia AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 48. By Country - South America AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 49. By Country - South America AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 50. By Country - South America AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 51. By Country - South America AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 52. By Country - Middle East & Africa AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2026
Table 53. By Country - Middle East & Africa AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2027-2034
Table 54. By Country - Middle East & Africa AI Datacenter Liquid Cooling Sales, (MW), 2021-2026
Table 55. By Country - Middle East & Africa AI Datacenter Liquid Cooling Sales, (MW), 2027-2034
Table 56. Vertiv Holdings Co. Company Summary
Table 57. Vertiv Holdings Co. AI Datacenter Liquid Cooling Product Offerings
Table 58. Vertiv Holdings Co. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 59. Vertiv Holdings Co. Key News & Latest Developments
Table 60. Schneider Electric SE Company Summary
Table 61. Schneider Electric SE AI Datacenter Liquid Cooling Product Offerings
Table 62. Schneider Electric SE AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 63. Schneider Electric SE Key News & Latest Developments
Table 64. nVent Electric Plc Company Summary
Table 65. nVent Electric Plc AI Datacenter Liquid Cooling Product Offerings
Table 66. nVent Electric Plc AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 67. nVent Electric Plc Key News & Latest Developments
Table 68. CoolIT Systems Inc. Company Summary
Table 69. CoolIT Systems Inc. AI Datacenter Liquid Cooling Product Offerings
Table 70. CoolIT Systems Inc. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 71. CoolIT Systems Inc. Key News & Latest Developments
Table 72. Motivair Corporation Company Summary
Table 73. Motivair Corporation AI Datacenter Liquid Cooling Product Offerings
Table 74. Motivair Corporation AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 75. Motivair Corporation Key News & Latest Developments
Table 76. Asetek Danmark AS Company Summary
Table 77. Asetek Danmark AS AI Datacenter Liquid Cooling Product Offerings
Table 78. Asetek Danmark AS AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 79. Asetek Danmark AS Key News & Latest Developments
Table 80. Iceotope Technologies Ltd. Company Summary
Table 81. Iceotope Technologies Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 82. Iceotope Technologies Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 83. Iceotope Technologies Ltd. Key News & Latest Developments
Table 84. LiquidStack BV Company Summary
Table 85. LiquidStack BV AI Datacenter Liquid Cooling Product Offerings
Table 86. LiquidStack BV AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 87. LiquidStack BV Key News & Latest Developments
Table 88. Boyd Corporation Company Summary
Table 89. Boyd Corporation AI Datacenter Liquid Cooling Product Offerings
Table 90. Boyd Corporation AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 91. Boyd Corporation Key News & Latest Developments
Table 92. Delta Electronics Inc. Company Summary
Table 93. Delta Electronics Inc. AI Datacenter Liquid Cooling Product Offerings
Table 94. Delta Electronics Inc. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 95. Delta Electronics Inc. Key News & Latest Developments
Table 96. STULZ GmbH Company Summary
Table 97. STULZ GmbH AI Datacenter Liquid Cooling Product Offerings
Table 98. STULZ GmbH AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 99. STULZ GmbH Key News & Latest Developments
Table 100. Rittal GmbH & Co. KG Company Summary
Table 101. Rittal GmbH & Co. KG AI Datacenter Liquid Cooling Product Offerings
Table 102. Rittal GmbH & Co. KG AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 103. Rittal GmbH & Co. KG Key News & Latest Developments
Table 104. Dell Technologies Inc. Company Summary
Table 105. Dell Technologies Inc. AI Datacenter Liquid Cooling Product Offerings
Table 106. Dell Technologies Inc. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 107. Dell Technologies Inc. Key News & Latest Developments
Table 108. Hewlett Packard Enterprise Co. Company Summary
Table 109. Hewlett Packard Enterprise Co. AI Datacenter Liquid Cooling Product Offerings
Table 110. Hewlett Packard Enterprise Co. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 111. Hewlett Packard Enterprise Co. Key News & Latest Developments
Table 112. Lenovo Group Ltd. Company Summary
Table 113. Lenovo Group Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 114. Lenovo Group Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 115. Lenovo Group Ltd. Key News & Latest Developments
Table 116. Super Micro Computer Inc. Company Summary
Table 117. Super Micro Computer Inc. AI Datacenter Liquid Cooling Product Offerings
Table 118. Super Micro Computer Inc. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 119. Super Micro Computer Inc. Key News & Latest Developments
Table 120. Fujitsu Ltd. Company Summary
Table 121. Fujitsu Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 122. Fujitsu Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 123. Fujitsu Ltd. Key News & Latest Developments
Table 124. Danfoss AS Company Summary
Table 125. Danfoss AS AI Datacenter Liquid Cooling Product Offerings
Table 126. Danfoss AS AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 127. Danfoss AS Key News & Latest Developments
Table 128. Chilldyne Company Summary
Table 129. Chilldyne AI Datacenter Liquid Cooling Product Offerings
Table 130. Chilldyne AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 131. Chilldyne Key News & Latest Developments
Table 132. Auras Technology Co., Ltd. Company Summary
Table 133. Auras Technology Co., Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 134. Auras Technology Co., Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 135. Auras Technology Co., Ltd. Key News & Latest Developments
Table 136. AVC (Asia Vital Components) Company Summary
Table 137. AVC (Asia Vital Components) AI Datacenter Liquid Cooling Product Offerings
Table 138. AVC (Asia Vital Components) AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 139. AVC (Asia Vital Components) Key News & Latest Developments
Table 140. Cooler Master Co., Ltd. Company Summary
Table 141. Cooler Master Co., Ltd. AI Datacenter Liquid Cooling Product Offerings
Table 142. Cooler Master Co., Ltd. AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 143. Cooler Master Co., Ltd. Key News & Latest Developments
Table 144. Envicool Company Summary
Table 145. Envicool AI Datacenter Liquid Cooling Product Offerings
Table 146. Envicool AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 147. Envicool Key News & Latest Developments
Table 148. Goaland Company Summary
Table 149. Goaland AI Datacenter Liquid Cooling Product Offerings
Table 150. Goaland AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 151. Goaland Key News & Latest Developments
Table 152. Shenling Company Summary
Table 153. Shenling AI Datacenter Liquid Cooling Product Offerings
Table 154. Shenling AI Datacenter Liquid Cooling Sales (MW), Revenue (US$, Mn) and Average Price (US$/KW) & (2021-2026)
Table 155. Shenling Key News & Latest Developments
Table 156. AI Datacenter Liquid Cooling Capacity of Key Manufacturers in Global Market, 2024-2026 (MW)
Table 157. Global AI Datacenter Liquid Cooling Capacity Market Share of Key Manufacturers, 2024-2026
Table 158. Global AI Datacenter Liquid Cooling Production by Region, 2021-2026 (MW)
Table 159. Global AI Datacenter Liquid Cooling Production by Region, 2027-2034 (MW)
Table 160. AI Datacenter Liquid Cooling Market Opportunities & Trends in Global Market
Table 161. AI Datacenter Liquid Cooling Market Drivers in Global Market
Table 162. AI Datacenter Liquid Cooling Market Restraints in Global Market
Table 163. AI Datacenter Liquid Cooling Raw Materials
Table 164. AI Datacenter Liquid Cooling Raw Materials Suppliers in Global Market
Table 165. Typical AI Datacenter Liquid Cooling Downstream
Table 166. AI Datacenter Liquid Cooling Downstream Clients in Global Market
Table 167. AI Datacenter Liquid Cooling Distributors and Sales Agents in Global Market
List of Figures
Figure 1. AI Datacenter Liquid Cooling Product Picture
Figure 2. AI Datacenter Liquid Cooling Segment by Type in 2025
Figure 3. AI Datacenter Liquid Cooling Segment by Power Density in 2025
Figure 4. AI Datacenter Liquid Cooling Segment by Price Tier (Per kW) in 2025
Figure 5. AI Datacenter Liquid Cooling Segment by Application in 2025
Figure 6. Global AI Datacenter Liquid Cooling Market Overview: 2025
Figure 7. Key Caveats
Figure 8. Global AI Datacenter Liquid Cooling Market Size: 2025 VS 2034 (US$, Mn)
Figure 9. Global AI Datacenter Liquid Cooling Revenue: 2021-2034 (US$, Mn)
Figure 10. AI Datacenter Liquid Cooling Sales in Global Market: 2021-2034 (MW)
Figure 11. The Top 3 and 5 Players Market Share by AI Datacenter Liquid Cooling Revenue in 2025
Figure 12. Segment by Type – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 13. Segment by Type - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 14. Segment by Type - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 15. Segment by Type - Global AI Datacenter Liquid Cooling Price (US$/KW), 2021-2034
Figure 16. Segment by Power Density – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 17. Segment by Power Density - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 18. Segment by Power Density - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 19. Segment by Power Density - Global AI Datacenter Liquid Cooling Price (US$/KW), 2021-2034
Figure 20. Segment by Price Tier (Per kW) – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 21. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 22. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 23. Segment by Price Tier (Per kW) - Global AI Datacenter Liquid Cooling Price (US$/KW), 2021-2034
Figure 24. Segment by Application – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 25. Segment by Application - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 26. Segment by Application - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 27. Segment by Application -Global AI Datacenter Liquid Cooling Price (US$/KW), 2021-2034
Figure 28. By Region – Global AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2025 & 2034
Figure 29. By Region - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021 VS 2025 VS 2034
Figure 30. By Region - Global AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 31. By Region - Global AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 32. By Country - North America AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 33. By Country - North America AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 34. United States AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 35. Canada AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 36. Mexico AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 37. By Country - Europe AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 38. By Country - Europe AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 39. Germany AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 40. France AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 41. U.K. AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 42. Italy AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 43. Russia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 44. Nordic Countries AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 45. Benelux AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 46. By Region - Asia AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 47. By Region - Asia AI Datacenter Liquid Cooling Sales Market Share, 2021-2034
Figure 48. China AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 49. Japan AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 50. South Korea AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 51. Southeast Asia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 52. India AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 53. By Country - South America AI Datacenter Liquid Cooling Revenue Market Share, 2021-2034
Figure 54. By Country - South America AI Datacenter Liquid Cooling Sales, Market Share, 2021-2034
Figure 55. Brazil AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 56. Argentina AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 57. By Country - Middle East & Africa AI Datacenter Liquid Cooling Revenue, Market Share, 2021-2034
Figure 58. By Country - Middle East & Africa AI Datacenter Liquid Cooling Sales, Market Share, 2021-2034
Figure 59. Turkey AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 60. Israel AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 61. Saudi Arabia AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 62. UAE AI Datacenter Liquid Cooling Revenue, (US$, Mn), 2021-2034
Figure 63. Global AI Datacenter Liquid Cooling Production Capacity (MW), 2021-2034
Figure 64. The Percentage of Production AI Datacenter Liquid Cooling by Region, 2025 VS 2034
Figure 65. AI Datacenter Liquid Cooling Industry Value Chain
Figure 66. Marketing Channels
