Data Center Liquid Cooling Market Size & Share 2026 - 2035
Market Size by Component, by Cooling Mechanism, by Coolant, by Data Center, by Application, by End Use, Growth Forecast.
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Market Size by Component, by Cooling Mechanism, by Coolant, by Data Center, by Application, by End Use, Growth Forecast.
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Starting at: $2,450
Base Year: 2025
Companies Profiled: 24
Tables & Figures: 165
Countries Covered: 23
Pages: 215
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Data Center Liquid Cooling Market
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Data Center Liquid Cooling Market Size
The global data center liquid cooling market was valued at USD 4.8 billion in 2025 and is set to expand from USD 6 billion in 2026 to USD 27.1 billion by 2035, growing at 18.2% CAGR over 2026–2035, according to latest report published by Global Market Insights Inc.
Data Center Liquid Cooling Market Key Takeaways
Market Size & Growth
Regional Dominance
Key Market Drivers
Challenges
Opportunity
Key Players
Rising AI densities, stringent PUE thresholds, and grid/water constraints are reinforcing a structural shift toward liquid cooling across enterprise, telecom, and cloud facilities. The 2024 United States Data Center Energy Usage Report shows, U.S. data center electricity rose to 176 TWh in 2023 and could reach 325–580 TWh by 2028, with cooling comprising 38–40% of total load, making efficiency improvements a direct route to Opex reductions.
Escalating energy costs and stringent sustainability mandates are accelerating adoption of liquid cooling solutions across data center market. Liquid cooling systems can achieve Power Usage Effectiveness (PUE) ratios as low as 1.05-1.15 compared to 1.4-1.8 for air-cooled facilities, directly reducing electricity consumption and carbon emissions. Regulatory frameworks including the EU Energy Efficiency Directive, Germany's Energy Efficiency Act (mandating PUE ≤1.3 by 2027), and California's data center efficiency standards are compelling operators to implement advanced cooling technologies. Additionally, waste heat recovery capabilities inherent in liquid cooling systems enable district heating integration and industrial process heat reuse, transforming data centers from pure energy consumers into contributors to circular energy economies and supporting corporate net-zero commitments.
North America remains the dominant region in the data center liquid cooling market, driven by the high concentration of hyperscale cloud operators, advanced semiconductor vendors, and system integrators that are aggressively deploying high-density AI and HPC infrastructure. Major hyperscalers continue to expand capacity across the U.S., reinforcing early adoption of direct-to-chip and immersion cooling solutions to support next-generation processors with rapidly rising thermal design power (TDP).
The ongoing expansion of hyperscale campuses, colocation facilities, and edge computing infrastructure creates substantial demand for scalable, high-density cooling solutions. Cloud service providers including AWS, Microsoft Azure, Google Cloud, and Oracle are constructing multi-hundred-megawatt facilities with AI-optimized specifications requiring liquid cooling as foundational infrastructure.
Colocation providers are retrofitting existing facilities and designing new builds with liquid cooling options to attract high-density tenants deploying AI workloads. This infrastructure modernization cycle, combined with the shift from ownership to leased capacity models, drives sustained investment in liquid cooling deployment across enterprise, telecom, and cloud segments.
Operator and vendor like Equinix analyses show liquid cooling can reduce total site energy by about 25–30% versus air-only baselines, with best-in-class deployments keeping PUE near ~1.1; water consumption can fall materially in closed-loop warm-water designs compared with evaporative systems. The numbers indicate that each percentage-point improvement in PUE compounds across megawatt-scale sites, strengthening the ROI case for direct-to-chip hardware and supporting hydronic infrastructure.
Data Center Liquid Cooling Market Trends
GPU-accelerated servers jumped from 2 TWh in 2017 to >40 TWh in 2023, and projected AI server energy use by 2028 sits at 240–380 TWh. For example, NVIDIA’s GB200: racks call for around 140 kW of liquid capacity, far beyond the 7–10 kW air-cooled baseline. This shift accounts for direct liquid cooling systems being integrated from the outset in AI-optimized data center designs. A key factor remains the nine-month doubling cycle of compute power required to train cutting-edge models, accelerating cooling requirements along the same trajectory.
Immersion cooling systems, where entire servers or IT components are submerged in dielectric fluid, are gaining commercial traction beyond early-adopter deployments, particularly for ultra-high-density AI and cryptocurrency mining applications exceeding 100 kW per rack. Single-phase immersion using mineral oil or synthetic fluids achieves rack densities of 100-120 kW, while two-phase immersion leveraging fluid boiling and condensation supports 150+ kW configurations.
Immersion cooling eliminates traditional air-moving equipment, reduces facility space requirements by 30-40%, and enables waste heat recovery at higher temperatures (45-60°C) suitable for district heating or industrial processes. Bitcoin mining operations were early adopters, but AI training workloads now represent the fastest-growing immersion cooling segment.
Standardization efforts by industry bodies including the Open Compute Project (OCP), Sustainable Digital Infrastructure Alliance (SDIA), and European Code of Conduct for Data Centre Energy Efficiency are accelerating liquid cooling adoption by reducing perceived technical risks and implementation complexity. OCP's Advanced Cooling Solutions subproject has published reference designs for direct-to-chip and immersion cooling, enabling broader ecosystem participation and interoperability.
ASHRAE's Liquid Cooling Technical Committee develops best practice guidelines for coolant selection, piping design, leak detection, and safety protocols. These standardization initiatives provide operators with validated approaches, reduce custom engineering costs, and build confidence among risk-averse enterprises previously hesitant about proprietary liquid cooling implementations. Component manufacturers increasingly offer standards-compliant products with published performance specifications, accelerating procurement and reducing total project costs.
Data Center Liquid Cooling Market Analysis
Based on component, the market is divided into solution and service. The solution segment dominated the market accounting for around 71% share in 2025 and is expected to grow at a CAGR of over 15% from 2026 to 2035.
Based on end use, the data center liquid cooling market is divided into enterprise, telecom service provider, and cloud service provider. Enterprise segment dominates the market with around 45% share in 2025, and the segment is expected to grow at a CAGR of over 16% between 2026 and 2035.
Based on cooling mechanism, the market is divided into single-phase liquid cooling and two-phase liquid cooling. Single-phase liquid cooling segment dominates the market and was valued at USD 3.1 billion in 2025.
Based on data center, the data center liquid cooling market is categorized into small, medium, and large data centers. The large data centers segment dominates the market and was valued at USD 2.3 billion in 2025.
US dominated North America data center liquid cooling market with revenue of USD 1.29 billion in 2025.
UK data center liquid cooling market will grow tremendously with CAGR of over 19% between 2026 and 2035.
The data center liquid cooling market in China will experience robust growth during 2026-2035.
The data center liquid cooling market in Brazil will experience significant growth between 2026 & 2035.
The data center liquid cooling market in UAE is expected to experience robust growth between 2026 & 2035.
Data Center Liquid Cooling Market Share
Data Center Liquid Cooling Market Companies
Major players operating in the data center liquid cooling industry include:
11.3% market share
Data Center Liquid Cooling Industry News
The data center liquid cooling market research report includes in-depth coverage of the industry with estimates & forecasts in terms of revenue ($Bn) from 2022 to 2035, for the following segments:
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Market, By Component
Market, By Cooling Mechanism
Market, By Coolant
Market, By Data Center
Market, By Application
Market, By End Use
The above information is provided for the following regions and countries:
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
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Trust & credibility
Verified data sources
Trade publications
Security & defense sector journals and trade press
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 30+ 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 →