AI Datacenter Liquid Cooling Market Size, Share, Trend Report 2026 to 2035

What is AI Datacenter Liquid Cooling Market Size?

Global AI Datacenter Liquid Cooling Market Size is valued at USD 3.00 Bn in 2025 and is predicted to reach USD 13.65 Bn by the year 2035 at a 16.5% CAGR during the forecast period for 2026 to 2035.

AI Datacenter Liquid Cooling Market Size, Share & Trends Analysis by Cooling Technology (Direct-to-chip liquid cooling, Immersion cooling, Rear-door heat exchangers), Deployment Type (Hyperscale AI datacenters, Colocation datacenters, Enterprise-private AI datacenters), Coolant Medium (Dielectric fluids, Water-based coolants, Hybrid-advanced engineered fluids), and Segment Forecasts, 2026 to 2035.

AI workloads have greatly impacted the development and functioning of contemporary data centers. The fast proliferation of AI models, in particular large language models (LLMs), generative AI applications, and high-performance computing (HPC), has greatly raised the power density of the server racks. Conventional air cooling cannot dissipate the heat produced by the GPUs, AI accelerators, and other powerful processors. As a consequence, liquid cooling technologies have become an integral part of next-generation AI infrastructure.

AI data center liquid cooling is defined as advanced cooling systems using liquid cooling instead of traditional air cooling for efficient heat dissipation from servers and other computing hardware. There exist direct-to-chip cooling, immersion cooling, rear-door heat exchangers, cold plate cooling, and many other innovative technologies designed to enhance cooling performance and save energy.

Some of the factors boosting the growth of the market include increased spending on hyperscale data centers, growth of cloud computing services, GPU cluster deployments, and increased AI training infrastructure requirements. There are huge capital investments being made by global technology firms in the infrastructure required for AI; this results in the creation of new high-density data centers that need thermal management solutions. Also, governments around the world are encouraging the development of local AI infrastructures.

Competitive Landscape

Which are the Leading Players in AI Datacenter Liquid Cooling Market?

Core Liquid Cooling and Thermal Infrastructure Providers

• Vertiv Group Corp.
• Schneider Electric SE / Motivair
• Trane Technologies / LiquidStack
• CoolIT Systems
• Submer Technologies
• ZutaCore, Inc.
• Green Revolution Cooling / GRC
• Iceotope Technologies Ltd.
• STULZ GmbH
• Rittal GmbH & Co. KG
• Boyd Corporation
• Chilldyne, Inc.
• DCX Liquid Cooling Systems
• Asperitas
• Delta Electronics, Inc.
• Huawei Technologies Co., Ltd.

Server OEMs and AI Infrastructure Integrators

• Super Micro Computer, Inc.
• Dell Technologies Inc.
• Hewlett Packard Enterprise
• Lenovo Group Limited
• Fujitsu Limited
• Inspur Information

AI Chip and Platform Ecosystem Enablers

• NVIDIA Corporation
• Intel Corporation
• Advanced Micro Devices, Inc.

Data Center Operators and End-Use Ecosystem

• Equinix, Inc.
• Digital Realty Trust, Inc.
• CyrusOne
• Other Hyperscale and Colocation Operators

Market Dynamics

Driver

Rapid Growth of AI Infrastructure and High-Density Computing

One of the key drivers of the AI datacenter liquid cooling market is the rising usage of AI applications. The process of AI models' training involves the use of thousands of powerful GPUs, which generate much higher temperatures compared to that generated by CPUs. Nowadays, typical AI server racks exceed a thermal density of 80-150 kW, and future generation GPU racks are expected to have a thermal capacity of 300 kW per rack. Such thermal density cannot be dissipated effectively using traditional air cooling methods.
Through the removal of the heat directly from processors and accelerators, liquid cooling helps in achieving better computing performance without compromising system reliability. With the expansion of their AI capabilities, cloud providers, AI firms, and enterprises are anticipated to increase the use of liquid cooling systems. Moreover, the trend of building AI-enabled data centers using liquid cooling among hyperscale operators will also drive the global market further.

Restrain/Challenge

High Initial Investment and Infrastructure Complexity

Although there is an operational advantage of using liquid cooling, the implementation process demands considerable financial outlay. Liquid cooling will not work in many facilities without redesigning the existing facilities, replacement of the old air cooling systems, installation of the cooling pipes, and cooling distribution units.

The high cost of integrating liquid cooling systems into existing facilities results from the constraints of physical space and incompatibility of the system with the existing server facility. Additionally, it needs highly skilled individuals to handle the cooling fluids and conduct maintenance of the entire system. Issues of fluid leakage and compatibility with other devices have been a hindrance to many firms in shifting from air-cooling systems.

Hyperscale Data Centers Segment is Expected to Drive the AI Datacenter Liquid Cooling Market

The hyperscale data center category was the leading market segment during 2025 and is forecasted to continue to be the dominant segment over the forecast period. Leading cloud service providers have been spending considerable resources on infrastructure to implement AI-based technologies such as generative AI, machine learning, and high-performance computing applications.
Hyperscale data centers employ thousands of GPU servers that necessitate advanced cooling solutions able to deal with very high rack density. Liquid cooling helps to improve the efficiency of computing while reducing energy usage and operating expenses. Moreover, hyperscalers are becoming more involved in sustainability projects, which makes liquid cooling a perfect choice to increase PUE and lower CO2 emissions. Expansion of AI-based cloud services will also add to demand for this segment.

Direct-to-Chip Liquid Cooling Segment is Growing at the Highest Rate in the AI Datacenter Liquid Cooling Market

It is estimated that the Direct-to-Chip Liquid Cooling will have the highest growth rate among all segments during the forecasted period. The technology uses a fluid circulated directly over cold plates connected to CPUs, GPUs, and AI accelerators. It is highly effective in heat extraction and much more efficient in doing this task than regular air-cooling methods.
The direct-to-chip technology increases the performance of processors and decreases energy spent on fan operation while providing an opportunity to build compact server configurations that can process artificial intelligence tasks. Due to scalability and adaptability to server designs, this technology is widely implemented by cloud operators, research organizations, and AI centers of enterprises.

Why North America Led the AI Datacenter Liquid Cooling Market?

North America AI data center liquid cooling held the largest revenue share in 2025 and is projected to retain its market dominance in the coming years. The region has emerged as the global center for artificial intelligence infrastructure, owing to the presence of top-notch hyperscale cloud players, semiconductor producers, and AI tech firms.

Enterprises operating in the United States and Canada have continued to make huge investments in HPC and AI-enabled data centers to cater to their needs in generating AI, machine learning, and large language model applications.
Asia Pacific is expected to register the highest CAGR in the forecast period. Some of the countries such as China, India, Japan, South Korea, Singapore, and Australia have made significant progress in developing cloud infrastructure and AI computing capacity.

Key Development:

•    In May 2025, Dell Technologies introduced next-generation enterprise AI infrastructure, including PowerEdge servers supporting up to 192 NVIDIA Blackwell Ultra GPUs with direct-to-chip liquid cooling. 

AI Datacenter Liquid Cooling Market Report Scope :