Authors:
Preeti Wadhwani, Satyam Thakare
Download free PDF
AI Data Center Liquid Cooling Market Size & Share 2026-2035
Report ID: GMI16496
|
Published Date: November 2026
|
Report Format: PDF/Excel/Dashboard/Platform
Explore Our Licensing Options:
AI Data Center Liquid Cooling Market
Get a free sample of this reportWhat are you hoping to find?
Your PDF is on its way. Tell us little about your research goal, and we'll help you find the most relevant market insights.

AI Data Center Liquid Cooling Market Size
The AI data center liquid cooling market was valued at USD 2.79 billion in 2025, is estimated at USD 3.37 billion in 2026, and is projected to expand at 20.6% CAGR (2026-2035) to reach USD 18.21 billion by 2035.
AI Data Center Liquid Cooling Market Key Takeaways
Market Leader: Schneider Electric led with over 9.0% market share in 2025.
Leading Players: Top 5 players in this market include Schneider Electric, Vertiv Holdings, Rittal GmbH, Stulz GmbH, Boyd Corporation, which collectively held a market share of 35.0% in 2025.
The market is moving from specialized high-performance computing deployments toward a core infrastructure layer for AI-ready facilities. Rising accelerator density is altering thermal design requirements at the point of construction, while operators are increasingly evaluating cooling architecture alongside power availability, facility layout, serviceability, and lifecycle energy exposure. This makes liquid cooling particularly consequential in new AI capacity, where design choices can be standardized across large server fleets rather than added rack by rack.
GMI Analyst View
Based on our direct engagement with hyperscale operators and AI infrastructure procurement teams, the AI data center liquid cooling market in 2025 supported approximately 2.8 gigawatts of IT load served through dedicated liquid cooling infrastructure-a figure that underscores how rapidly GPU-intensive compute environments have moved from pilot-scale deployments to production-scale adoption of advanced thermal management. This installed-capacity measure provides an independent cross-check to revenue trends and confirms that liquid cooling has established a durable footprint across leading hyperscale facilities well ahead of broader enterprise adoption curves.
AI Data Center Liquid Cooling Market Trends, Growth Drivers & GMI Forecast Outlook
AI infrastructure expansion is pushing thermal management into the critical path for data center capacity delivery. Demand is strongest where operators can engineer liquid loops into high-density builds, while retrofit economics, component interoperability, and operational assurance continue to determine how quickly adoption extends into the broader installed base.
Key Drivers
Evidence anchors use cited external data; demand implications and forecast conditions represent GMI analysis.
Electricity demand is not merely a utility-planning issue; it directly changes the value of thermal efficiency within the AI data center procurement decision. Higher-density AI clusters place more heat in a smaller physical footprint, narrowing the operating range in which air-only systems remain practical. As cooling becomes more tightly coupled to power provisioning and sustainability commitments, operators have a stronger incentive to adopt architectures that manage heat close to the compute source.
The United States is especially influential because its large AI construction pipeline turns facility-level efficiency into a commercial and policy consideration. Operators facing power constraints, utility interconnection scrutiny, and customer expectations around infrastructure efficiency are more likely to treat liquid cooling as a capacity-enabling choice rather than as an optional enhancement.
At the hardware level, accelerator roadmaps are raising the importance of direct thermal intervention. The requirement is increasingly architectural: coolant distribution, cold plates, fluid management, and monitoring must be designed around the server and rack configuration, creating a durable link between next-generation AI infrastructure investment and liquid cooling demand.
Key Restraints
Evidence anchors use cited external data; demand implications and forecast conditions represent GMI analysis.
Capital intensity is most material where liquid cooling serves only a limited share of an existing server estate. Hyperscale operators can spread the cost of distribution infrastructure, monitoring, and service arrangements across standardized fleets and large construction programs. Enterprise and colocation operators more often face fragmented demand profiles, which can make the business case depend on tenant commitments, rack-density certainty, and the ability to avoid disruption to operating facilities.
Interoperability remains a practical procurement constraint. Operators must assess fluid compatibility, component qualification, maintenance responsibilities, and the consequences of replacing a part within a multi-vendor loop. The resulting engineering and contractual diligence can extend project schedules, particularly for brownfield facilities where cooling changes must be coordinated with live IT operations and risk-management requirements.
GMI Analyst View
We see a bifurcated adoption cycle emerging. At the high-density end of the market, liquid cooling is becoming integral to AI infrastructure design; elsewhere, the pace of deployment will be determined by the operator's ability to justify upfront investment, manage integration risk, and commit to an architecture that remains serviceable over the asset life. That distinction favors vendors able to pair thermal performance with credible deployment and lifecycle support.
AI Data Center Liquid Cooling Market Segment Analysis
By Component
The solution segment generated USD 2.21 billion in 2025 and is projected to reach USD 13.84 billion by 2035. Its scale reflects the central role of physical cooling hardware in AI-ready deployments, from fluid delivery and heat exchange to chip-level thermal interfaces. Direct-to-chip systems are positioned to capture the most demanding accelerator workloads because they remove heat at the source and fit naturally into purpose-built AI racks. Service demand is also expanding as operators seek specialized support for fluid operations, performance monitoring, and lifecycle optimization.
Direct-to-chip cooling accounted for 60.0% of solution revenue in 2025 and is projected to reach USD 8.72 billion by 2035. Its position is reinforced by the need to control heat at the processor package without relying on room-level air movement to carry the full thermal burden. This favors suppliers that can deliver an integrated stack of cold plates, coolant distribution, controls, commissioning capability, and field service.
Immersion cooling is projected to hold a 30.0% share of solution revenue by 2035 and expand at 21.6% CAGR (2026-2035). It offers a differentiated path for extremely dense deployments because it can cool server assemblies rather than individual chips. Its commercial adoption will depend on fluid selection, hardware compatibility, maintenance practices, and an operator's willingness to alter server-service workflows.
Rear-door heat exchangers generated USD 309.4 million in 2025 and are expected to grow at 13.2% CAGR (2026-2035). These systems retain value where operators need a less invasive way to contain rack exhaust heat, especially in mixed-density environments. However, their role is increasingly complementary for the highest-density AI racks, where chip-level cooling offers a more direct response to concentrated thermal loads.
The service segment is projected to account for a 24.0% share by 2035 and grow at 22.2% CAGR (2026-2035). The shift toward service revenue reflects a market in which successful cooling performance depends on more than equipment installation. Fluid quality, leak detection, controls integration, maintenance, and system tuning create opportunities for managed and professional service providers to remain involved after initial deployment.
By Cooling Mechanism
Single-phase cooling generated USD 1.81 billion in 2025 and is projected to hold a 60.0% share by 2035. Its installed-base advantage rests on operational familiarity, straightforward fluid-loop management, and compatibility with many facility-side water systems. These characteristics make it a pragmatic option for operators prioritizing maintainability and repeatable deployment across large fleets.
Two-phase cooling is projected to account for a 40.0% share by 2035 and expand at 22.3% CAGR (2026-2035). Its appeal is strongest where thermal density makes higher heat-transfer efficiency commercially valuable. Wider uptake will be shaped by the availability of qualified fluids, engineering expertise, and operator comfort with the more specialized operating requirements associated with phase-change systems.
By Coolant
Water-based coolants held a 42.0% share in 2025 and are projected to generate USD 6.92 billion by 2035. Their position is supported by established facility infrastructure and a familiar operating model for direct-to-chip loops. The category remains important even as more specialized fluids gain traction, particularly where operators want to integrate liquid cooling with existing chilled-water and heat-rejection systems.
Dielectric fluids are projected to hold a 32.0% share by 2035 and grow at 22.3% CAGR (2026-2035). Their electrical isolation properties make them particularly relevant for immersion systems, where coolant contact with server hardware is integral to the design. Supplier competition will center on thermal performance, environmental profile, fluid reuse, and total operating cost.
Synthetic coolants generated USD 419.7 million in 2025, while bio-based fluids are projected to expand at 22.9% CAGR (2026-2035). Synthetic formulations serve applications requiring controlled thermal and materials-performance characteristics, whereas bio-based alternatives address growing operator interest in lower-impact coolant choices. Both categories benefit as cooling design becomes more tailored to workload, hardware, and sustainability requirements.
By Data Center Type
Hyperscale data centers held a 52.0% share in 2025 and are projected to generate USD 10.56 billion by 2035. This segment is the market's principal demand engine because hyperscalers can embed liquid cooling into repeatable global construction designs, align it with accelerator procurement, and operate the supporting infrastructure at scale. Their architecture decisions also influence vendor qualification practices across the wider ecosystem.
Colocation data centers generated USD 783.4 million in 2025 and are expected to grow at 19.3% CAGR (2026-2035). Their adoption pathway is more tenant-led: operators must provide AI-ready capability while retaining flexibility for customers with different rack configurations and deployment schedules. This creates demand for modular distribution systems and hybrid hall designs that can accommodate a changing mix of air- and liquid-cooled equipment.
Enterprise data centers are projected to hold a 13.0% share by 2035 and expand at 18.9% CAGR (2026-2035). Adoption is constrained by mixed IT estates, smaller clusters, and a greater need to demonstrate a clear return on infrastructure changes. Demand will concentrate in organizations where AI workloads are operationally important enough to justify dedicated thermal architecture.
Edge data centers held a 5.0% share in 2025 and are projected to reach USD 728.5 million by 2035. Edge use cases offer a distinct opportunity where local AI inference creates concentrated compute loads in compact facilities. Yet deployment economics remain sensitive to site scale, service accessibility, and the practicality of installing fluid infrastructure in distributed locations.
By Application
Server cooling held a 72.0% share in 2025 and is projected to reach USD 13.66 billion by 2035. GPU and AI accelerator servers are the primary demand center because they combine high per-chip power with dense rack configurations. Cooling providers that align their designs with server and accelerator qualification cycles are best positioned to capture this central application pool.
Storage cooling generated USD 335.7 million in 2025 and is expected to grow at 18.5% CAGR (2026-2035). AI training and inference environments require storage infrastructure that can operate near dense compute systems, extending thermal-management needs beyond the accelerators themselves. The opportunity is tied to system-level design, where storage, compute, and network equipment must be engineered as an integrated environment.
Networking is projected to hold a 10.0% share by 2035 and generated USD 279.8 million in 2025. As AI clusters grow, switching fabrics become more thermally consequential, particularly where high-throughput interconnects are concentrated around accelerator deployments. This supports a broader cooling addressable market than a server-only framing would suggest.
By End Use
Cloud service providers are projected to hold a 52.0% share by 2035 and grow at 21.6% CAGR (2026-2035). Their scale, standardized infrastructure programs, and control over the full stack make CSPs the most influential end-user group for liquid cooling architecture. Their procurement decisions can establish reference designs that influence both component qualification and service expectations across the market.
Telecom service providers generated USD 419.7 million in 2025 and are expected to grow at 18.9% CAGR (2026-2035). Their opportunity is linked to distributed infrastructure, core-network modernization, and AI-enabled network functions. Adoption will be paced by the need to integrate new thermal systems into operationally sensitive facilities with long-lived network assets.
Enterprise end users held a 37.0% share in 2025 and are projected to generate USD 6.37 billion by 2035. Financial services, public-sector, healthcare, and other regulated users can create meaningful demand where AI infrastructure becomes mission critical. Their buying criteria are likely to emphasize containment, reliability, auditability, and vendor accountability as much as raw cooling performance.
By Deployment Type
Greenfield deployments held a 72.0% share in 2025 and are projected to reach USD 11.83 billion by 2035. New construction allows operators to locate CDUs, route secondary loops, plan leak containment, and align heat-rejection systems with the facility design from the outset. This makes greenfield projects the most favorable setting for standardized liquid-cooled AI capacity.
Retrofit deployments are projected to hold a 35.0% share by 2035 and expand at 23.1% CAGR (2026-2035). Their growth reflects pressure on existing facilities to accommodate AI demand without waiting for new capacity. Commercial success in this segment depends on minimizing disruption, reducing physical rework, and providing operators with a credible path to manage fluid systems alongside live IT infrastructure.
GMI Analyst View
We expect the market to reward component suppliers that can move beyond discrete equipment sales. The strongest positions will belong to vendors that combine chip-level thermal capability with deployment engineering, controls, fluid management, and service support. As liquid cooling becomes part of the operating model rather than a one-time installation, the quality of that integrated offer will matter as much as the cooling mechanism itself.
AI Data Center Liquid Cooling Market Regional Analysis
North America AI Data Center Liquid Cooling Market Analysis
The AI data center liquid cooling market in North America held a 50.0% share in 2025 and is projected to reach USD 8.37 billion by 2035. The region combines extensive hyperscale construction activity with a mature ecosystem of cloud operators, accelerator suppliers, data center developers, and cooling specialists. Its importance extends beyond current demand because its operator requirements and qualification practices often shape product development priorities worldwide.
United States
The United States generated USD 1.30 billion in 2025 and is projected to reach USD 7.83 billion by 2035. Major cloud regions and AI construction corridors provide an unusually large base for purpose-built deployments, while utility constraints and policy attention to data center electricity use strengthen the case for architectures that improve thermal efficiency and support dense compute configurations.
Canada
Canada generated USD 90.9 million in 2025 and is expected to grow at 19.6% CAGR (2026-2035). Favorable ambient conditions in key provinces, renewable-power availability, and hyperscale expansion provide a supportive setting for liquid cooling investment. The market also benefits from its role as a geographic complement to U.S. cloud infrastructure.
Europe AI Data Center Liquid Cooling Market Analysis
Europe generated USD 419.7 million in 2025 and is projected to grow at 19.8% CAGR (2026-2035). Demand is concentrated in major hyperscale and colocation hubs, but the region's regulatory focus on energy efficiency gives cooling architecture an added strategic dimension. Operators must reconcile AI capacity growth with power-use expectations, urban planning constraints, and increasingly demanding sustainability requirements.
United Kingdom
The United Kingdom held a 22.0% share of European revenue in 2025 and is projected to reach USD 561.0 million by 2035. London's interconnection ecosystem, sustained campus development, and enterprise AI demand from financial services support the market. Liquid cooling is increasingly relevant where high-density compute is deployed into an already capacity-constrained data center environment.
Germany
Germany generated USD 75.5 million in 2025 and is projected to grow at 19.8% CAGR (2026-2035). Industrial AI workloads and Frankfurt's colocation concentration create a demand profile that extends beyond hyperscale construction. Energy-efficiency obligations further elevate the value of cooling systems that can support dense deployments while improving operational control.
Netherlands
The Netherlands generated USD 67.2 million in 2025 and is projected to reach USD 408.0 million by 2035. Amsterdam's position as a high-density connectivity and data center hub makes efficient use of available power and space commercially important. This favors cooling architectures that enable greater compute density without proportionate expansion in facility footprint.
Asia Pacific AI Data Center Liquid Cooling Market Analysis
Asia Pacific is projected to hold a 33.0% share by 2035 and expand at 23.0% CAGR (2026-2035). The region's growth is underpinned by greenfield AI capacity, expanding cloud platforms, and national interest in compute infrastructure. Its diversity is also commercially significant: vendors must adapt to different procurement models, local supply chains, infrastructure maturity, and service requirements across large national markets and tightly regulated regional hubs.
China
China generated USD 294.0 million in 2025 and is projected to hold a 42.0% share of Asia Pacific revenue by 2035. Domestic cloud and AI infrastructure investment provides a broad foundation for liquid cooling adoption, while local component manufacturing could improve supply responsiveness and alter competitive economics. The scale of domestic AI deployment makes China central to regional demand formation.
Japan
Japan is projected to generate USD 781.4 million by 2035 and grow at 21.6% CAGR (2026-2035). Its market benefits from established technology industries, data sovereignty requirements, and continued cloud investment. Efficiency-focused infrastructure programs also support adoption among operators seeking to modernize facilities while maintaining rigorous reliability standards.
India
India held a 12.5% share of Asia Pacific revenue in 2025 and is expected to grow at 24.5% CAGR (2026-2035). Domestic AI development, cloud-region expansion, and a growing colocation ecosystem are creating a favorable environment for purpose-built cooling infrastructure. The market presents a high-growth opportunity for vendors able to establish local channels, service capacity, and cost-effective deployment models.
Singapore
Singapore generated USD 88.9 million in 2025 and is projected to reach USD 661.2 million by 2035. Limited land and power availability make efficiency a central condition of data center development, encouraging high-specification infrastructure in approved capacity. Its regional hub status also supports demand from cloud and regulated enterprise users that require high-performance local compute.
Latin America AI Data Center Liquid Cooling Market Analysis
Latin America generated USD 83.9 million in 2025 and is projected to reach USD 546.4 million by 2035. Demand is concentrated in the region's largest digital economies and is primarily tied to cloud and colocation investment rather than a broad-based installed base of AI facilities. The opportunity is therefore closely linked to the timing and design of new capacity projects.
Brazil
Brazil held a 55.0% share of Latin American revenue in 2025 and is projected to generate USD 300.5 million by 2035. Its scale, fintech activity, and concentration of data center development around major urban centers make it the region's leading market. As cloud operators and colocation providers introduce more AI-capable capacity, liquid cooling will become a more visible element of infrastructure differentiation.
Middle East & Africa AI Data Center Liquid Cooling Market Analysis
The Middle East & Africa region is projected to hold a 4.0% share by 2035 and grow at 17.9% CAGR (2026-2035). Demand is led by sovereign-backed digital infrastructure investment and a need to build AI capacity in environments where outdoor heat rejection and water-management decisions can be especially consequential. The market remains smaller than other regions but has strategic importance for vendors participating in large-scale national development programs.
UAE
The UAE generated USD 63.0 million in 2025 and is projected to hold a 45.0% share of Middle East & Africa revenue by 2035. AI campus development, cloud partnerships, and national technology programs support a pipeline of high-density infrastructure projects. Suppliers that can combine thermal performance with local service and project-execution capability are well positioned in this market.
Saudi Arabia
Saudi Arabia generated USD 49.0 million in 2025 and is projected to grow at 17.9% CAGR (2026-2035). National data center and AI investment programs underpin demand, while extreme ambient conditions make facility-side cooling design a critical consideration. This raises the value of solutions that can be integrated with robust heat-rejection and operational-management strategies.
South Africa
South Africa is projected to generate USD 145.7 million by 2035 and held a 20.0% share of Middle East & Africa revenue in 2025. Johannesburg's role as a connectivity and cloud hub supports demand from enterprise and colocation providers. Market development will depend on the pace of regional cloud expansion and the ability of operators to build reliable high-density capacity around local power and infrastructure conditions.
GMI Analyst View
We view regional expansion as a test of execution, not simply a matter of selling the same cooling platform into more locations. North America will remain pivotal for qualification and large-scale deployment, but Asia Pacific and the Middle East create differentiated opportunities for suppliers with local manufacturing, commissioning expertise, and service partnerships. Geographic breadth will increasingly separate globally scalable vendors from technology specialists with narrower delivery capacity.
AI Data Center Liquid Cooling Market Share & Competitive Landscape
The AI data center liquid cooling market share is moderately concentrated, with the top five vendors include Schneider Electric, Vertiv Holdings, Rittal GmbH, Stulz GmbH, and Boyd Corporation, which collectively held a market share of \~35.0% in 2025. The remaining market is dispersed among diversified infrastructure providers, thermal specialists, and emerging liquid-cooling companies. This structure reflects a category that is expanding quickly enough to attract new suppliers while still requiring deep engineering capability, qualification credibility, and field-service capacity.
Schneider Electric held a 9.0% share in 2025. Its competitive position is strengthened by an integrated data center infrastructure portfolio and the ability to connect liquid cooling equipment with facility management and power systems. The company's positioning is particularly relevant where customers want a coordinated architecture spanning thermal, electrical, and digital infrastructure.
Vertiv Holdings held an 8.0% share in 2025. Its broad thermal-management offer, modular deployment capability, and global service footprint position it to compete across direct-to-chip, rear-door, and facility-level requirements. The company is well placed in projects where lifecycle support and deployment assurance carry material weight alongside cooling capacity.
Rittal GmbH held a 6.0% share in 2025. Its established presence in enclosures, IT infrastructure, and European distribution gives it an advantage in enterprise and colocation settings where cooling selection is closely linked to rack design, integration requirements, and local channel support.
Stulz GmbH and other precision-cooling specialists remain relevant in mission-critical applications that place a premium on reliability and environmental control. Emerging companies, including Accelsius, LiquidStack, and Submer Technologies, are competing through two-phase and immersion capabilities aimed at demanding high-density workloads. nVent is also increasing its manufacturing commitment to the category, with a third liquid-cooling capacity expansion in three years that adds more than 400,000 square feet of production space overall [7]nVent Electric plc. "nVent Expands Data Center Liquid Cooling Capacity." investors.nvent.com.
Recent Industry Developments
Ecolab completed its acquisition of CoolIT Systems on July 2, 2026, for approximately USD 4.75 billion [6]Ecolab Inc. "Ecolab Closes CoolIT Acquisition and Expands AI Cooling Platform as Global High Tech Business Targets $4 Billion by 2030." investor.ecolab.com. The transaction brings direct-to-chip cooling capabilities into a larger water-management and monitoring platform, signaling that liquid cooling is becoming strategically relevant to industrial companies with global service, chemistry, and digital-operations capabilities.
Schneider Electric launched the Motivair WCDU on September 23, 2026, introducing a system that combines liquid and air cooling within a flexible deployment architecture [5]Schneider Electric. "Schneider Electric Launches New Motivair Coolant Distribution Unit Integrating Liquid and Air Cooling for More Flexible Data Center Deployments." se.com. The launch reflects growing demand for solutions that allow operators to accommodate mixed workload densities without redesigning the full data hall as AI infrastructure is added.
Need a specific section of this report?
Purchase regional analysis, country-level analysis, company profiles, or any other segment-level insights separately
based on your research needs.
Frequently Asked Questions (FAQs):
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Industry journals, trade publications, and specialized media.
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 20+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →