United States AI Data Center Cooling Market

Overview

The United States AI Data Center Cooling Market was valued at an estimated USD 2.82 billion in 2025 and is projected to reach approximately USD 12.99 billion by 2034, growing at a CAGR of 18.5% during the forecast period (2026-2034). The market is driven by the exponential rise of AI training and inference workloads, rapidly increasing rack power densities that routinely exceed the thermal limits of conventional air cooling, and sustained hyperscale capital investment in purpose-built AI data center campuses across the United States. The market is shifting from conventional air cooling toward liquid and hybrid cooling systems as AI workloads drive higher rack densities and thermal loads. AI data center cooling specifically serves high-density GPU racks and AI training clusters, with rack power exceeding 140 kW and moving toward 1 MW and beyond, making liquid cooling increasingly foundational for new AI data center construction. Major infrastructure vendors are responding with increasingly integrated power-and-cooling offerings specifically engineered for AI data centers, rather than treating cooling as a separable, downstream procurement decision. This reflects growing recognition that cooling capacity, power delivery, and AI chip density must be co-designed from the earliest stages of data center planning rather than retrofitted after construction. By region, the South, anchored by Texas and Virginia, held the largest share of the market in 2025, reflecting the concentration of hyperscale AI data center campus construction in these states specifically. The West, anchored by Arizona and Nevada, is projected to be the fastest-growing region during the forecast period.

Market Size & Share

Market Dynamics

KEY MARKET TREND

Integrated Power-and-Cooling Platforms, Hybrid Air-Liquid Retrofits and Broadening Liquid Cooling Adoption Emerging as Trends

• Major vendors are increasingly bundling liquid cooling with on-site power generation and distribution offerings specifically targeting gigawatt-scale AI data center development, reflecting growing recognition that power and cooling capacity must be co-designed rather than procured separately.
• Hybrid air-liquid coolant distribution products designed for corridor-based retrofit architectures are emerging specifically to help operators upgrade existing air-cooled facilities for AI workloads without full-site reconstruction, lowering service complexity and shortening deployment timelines.
• Liquid cooling adoption continues broadening beyond its original hyperscaler-led deployment base into colocation, sovereign AI, and enterprise data center segments, as standardization of high-density AI hardware lowers the integration barrier for a wider range of operators.
• According to ASHRAE, AI rack densities have increased from roughly 120 kW to several hundred kilowatts, with megawatt-class racks anticipated, driving the U.S. AI data center cooling market toward higher-capacity liquid and hybrid cooling solutions to manage increasingly intensive thermal loads.

KEY MARKET DRIVER

Rising Rack Power Density and Sustained Hyperscale AI Capital Investment Are the Key Drivers

• Rapidly rising AI rack power densities, increasingly exceeding the thermal limits of conventional air cooling, continue to make liquid and hybrid cooling systems a necessity rather than an optional upgrade for new AI data center construction.
• Sustained hyperscale capital investment in purpose-built AI data center campuses across the United States continues to directly drive cooling infrastructure procurement at a pace exceeding the broader, conventional data center cooling market.
• Growing energy efficiency and sustainability pressure continues to reinforce demand for cooling technologies capable of reducing the substantial share of total data center energy consumption that cooling systems have historically represented.
• According to the U.S. Department of Energy, hyperscale facilities are generating grid connection requests of approximately 300–1,000 MW or larger, reflecting the rapid expansion of high-density AI infrastructure and driving demand for advanced cooling systems capable of managing the resulting thermal loads.

KEY MARKET OPPORTUNITY

Gigawatt-Scale Power-Cooling Integration, Hybrid Retrofit Products and Sovereign AI Deployment Create Opportunity

• Continued integration of on-site power generation with cooling infrastructure specifically targeting gigawatt-scale AI data center development represents a substantial opportunity for vendors capable of offering end-to-end power-and-cooling solutions rather than cooling equipment alone.
• Hybrid air-liquid retrofit products represent a significant opportunity given the large existing installed base of air-cooled US data center capacity that operators are seeking to upgrade incrementally rather than replace entirely.
• Growing sovereign AI infrastructure development, alongside continued colocation and enterprise adoption of high-density AI hardware, represents an opportunity for vendors capable of extending beyond their traditional hyperscaler customer base.
• According to the U.S. Department of Energy, a Southern Ohio project is targeting 10 GW of data center development supported by 10 GW of new power generation, creating significant opportunities for the U.S. AI data center cooling market to deploy high-capacity cooling infrastructure alongside large-scale AI data center expansion.

United States AI Data Center Cooling Market Size, 2025-2034 (USD Billion)

Segmentation Analysis

Analysis by Cooling Type

Hybrid Air-Liquid systems held the largest market share in 2025, supported by operators' preference for retrofit-friendly cooling architectures that combine liquid cooling for high-density AI racks with existing air-cooling infrastructure for lower-heat components. This approach allows data center operators to progressively upgrade cooling capacity as AI workloads become more thermally intensive, while reducing the need for extensive modifications to existing facilities and supporting greater flexibility across different rack configurations. The ability to integrate with established cooling infrastructure, accommodate phased AI capacity expansion, and manage varying thermal requirements across data center environments further supports the adoption of hybrid air-liquid systems.

Liquid Cooling is projected to grow at the fastest CAGR during the forecast period, supported by the increasing thermal intensity of AI workloads, rising rack power densities, and the growing need for cooling technologies capable of handling high-density GPU infrastructure. Its adoption is further supported by the ability to provide more efficient heat removal at higher compute densities, accommodate increasingly demanding AI deployments, and enable data centers to scale cooling capacity as next-generation processors and accelerated computing systems generate greater thermal loads.

Cooling Type categories include

• Hybrid Air-Liquid (Leading Deployment Approach)
• Liquid Cooling (Highest CAGR Segment)
• Air Cooling

Analysis by Liquid Cooling Technology

Direct-to-Chip Cooling held the largest market share in 2025, supported by its suitability for GPU-dense AI training racks and its ability to transfer heat directly from high-performance processors to the cooling loop. Its compatibility with existing data center architectures also enables operators to integrate liquid cooling into established facilities without requiring complete replacement of conventional cooling infrastructure. The technology further supports the increasing thermal requirements of AI workloads by providing targeted heat removal at the processor level, while allowing other lower-heat components to continue using conventional air cooling. Its flexibility across new-build and retrofit environments supports its continued deployment across high-density AI data centers.

Immersion Cooling is projected to grow at the fastest CAGR during the forecast period, driven by its ability to manage increasingly high-power-density AI infrastructure and efficiently dissipate heat from densely packed computing systems. The technology places computing components in a thermally conductive liquid, enabling more direct and uniform heat transfer and reducing reliance on conventional airflow-based cooling. Its ability to address higher thermal loads, support dense GPU configurations, and potentially improve space utilization makes it increasingly relevant for next-generation AI training environments. As AI workloads continue to require greater computing intensity and higher rack densities, immersion cooling is positioned for broader adoption in applications where conventional and direct-to-chip approaches face increasing thermal constraints.

Liquid Cooling Technology categories include

• Direct-to-Chip (Dominating Segment)
• Immersion Cooling (Highest CAGR Segment)
• Rear-Door Heat Exchanger

Analysis by Data Center Type

Hyperscale Data Centers held the largest market share in 2025, supported by the concentration of high-density AI and accelerated-computing workloads within large-scale facilities that require substantial and increasingly sophisticated cooling infrastructure. Their extensive deployment of GPU-intensive systems, high rack densities, and continuous capacity expansion creates significant requirements for advanced thermal-management solutions capable of supporting sustained computing loads and future increases in power density.

Colocation Facilities are projected to grow at the fastest CAGR during the forecast period, supported by the expanding deployment of AI workloads across shared data center environments and the increasing need for colocation operators to provide high-density computing infrastructure. As more organizations deploy GPU-intensive applications without developing dedicated facilities, colocation providers are increasingly adapting their infrastructure to accommodate higher rack densities and advanced cooling requirements.

Data Center Type categories include

• Hyperscale (Dominating Segment)
• Colocation (Highest CAGR Segment)
• Enterprise

Analysis by Component

Solutions held the largest market share in 2025, supported by the growing demand for integrated technologies and end-to-end solutions that enable organizations to address complex operational requirements through standardized, scalable, and easily deployable offerings. The ability of solution providers to combine multiple technologies and capabilities into unified platforms further supports adoption across diverse customer environments, while enabling organizations to improve efficiency, simplify implementation, and accommodate evolving infrastructure requirements.

Services are projected to grow at the fastest CAGR during the forecast period, supported by the increasing need for implementation, integration, maintenance, consulting, and ongoing technical support as organizations deploy increasingly complex technology infrastructure. Growing demand for specialized expertise and continuous optimization is further encouraging organizations to rely on external service providers, particularly as evolving workloads and infrastructure requirements require regular upgrades, monitoring, and operational support

Component categories include

• Solutions (Dominating Segment)
• Services (Highest CAGR Segment)

By Region

United States AI Data Center Cooling Market Share 2025

North America

xx%

South America

xx%

Europe

xx%

Middle East Africa

xx%

Asia Pacific

xx%

The South, anchored by Texas and Virginia, accounted for the largest market share in 2025, supported by the region’s strong concentration of hyperscale and AI-focused data center development and continued expansion of large-scale computing infrastructure. The growing deployment of AI workloads across major data center campuses is increasing requirements for advanced thermal management systems capable of supporting high-density computing environments and sustained processing loads. Texas has also emerged as a prominent hub for AI infrastructure expansion, while its warmer climate creates additional cooling requirements for data center operators, further encouraging the adoption of efficient and high-capacity cooling technologies. The combination of expanding AI infrastructure, large-scale data center development, and increasingly demanding thermal-management requirements continues to support the adoption of advanced cooling solutions across the Southern region.

The West, anchored by Arizona and Nevada, is projected to record the fastest growth during the forecast period, driven by continued development of hyperscale and AI-focused data center campuses and the region’s expanding role in large-scale digital infrastructure deployment. Increasing investment in high-density computing facilities is expected to drive greater requirements for advanced cooling systems capable of managing the elevated thermal loads associated with AI workloads. The region’s ongoing expansion of data center capacity, combined with growing adoption of accelerated computing infrastructure, is expected to support increasing demand for liquid, hybrid, and other advanced cooling technologies as operators seek to accommodate higher rack densities and evolving thermal-management requirements.

Regions Covered

• South (Largest Region)
• West (Fastest-Growing Region)
• Midwest
• Northeast

Market Share

The United States AI Data Center Cooling Market is fragmented, led by Vertiv Holdings Co., which maintains a strong position in AI data-center infrastructure through its liquid-cooling, thermal-management, and integrated power-and-cooling solutions designed for high-density computing environments. Schneider Electric SE has strengthened its position through its majority acquisition of Motivair, expanding its capabilities across coolant distribution units, chillers, rear-door heat exchangers, and other liquid-cooling technologies for AI and high-performance computing applications. nVent Electric plc and Siemens AG compete across advanced liquid-cooling and integrated power-and-cooling infrastructure, including solutions designed for hyperscale AI data-center deployments, while Johnson Controls International plc and Trane Technologies plc provide conventional and liquid-cooling systems targeting the increasing thermal requirements of high-density AI workloads. Carrier Global Corporation and Eaton Corporation plc compete through broader data-center infrastructure portfolios encompassing cooling, thermal management, power, and liquid-cooling technologies, with Eaton also expanding its exposure to advanced liquid-cooling capabilities through Boyd Corporation's thermal business. Specialized cooling providers, including CoolIT Systems Inc., Submer Technologies S.L., Green Revolution Cooling, Inc., and Boyd Corporation, focus on direct-to-chip, immersion, and other high-density liquid-cooling technologies, while Delta Electronics, Inc., STULZ GmbH, and Rittal GmbH & Co. KG provide data-center cooling, thermal-management, and infrastructure solutions spanning conventional precision cooling and increasingly liquid-cooled AI environments.

Key Players

• Vertiv Holdings Co (US)
• Schneider Electric SE (France)
• nVent Electric plc (UK)
• Siemens AG (Germany)
• Johnson Controls International plc (Ireland)
• Trane Technologies plc (Ireland)
• Carrier Global Corporation (US)
• Eaton Corporation plc (Ireland)
• CoolIT Systems Inc. (Canada)
• Submer Technologies S.L. (Spain)
• Green Revolution Cooling, Inc. (US)
• Boyd Corporation (US)
• Delta Electronics, Inc. (Taiwan)
• STULZ GmbH (Germany)
• Rittal GmbH & Co. KG (Germany)

Recent Market Developments

• March 2026: Vertiv announced an approximately $50 million expansion of its Ironton, Ohio manufacturing facility to increase U.S. production of liquid-cooling and thermal-management systems for high-density AI data centers, supporting the growing demand for AI infrastructure cooling solutions.
• September 2025: Schneider Electric partnered with AVAIO Digital to supply power and chiller-based cooling infrastructure for four new AI-ready data-center campuses in the United States, supporting the growing deployment of high-density AI computing infrastructure and associated cooling requirements.
• March 2026: Trane Technologies completed its acquisition of LiquidStack, strengthening its U.S. data-center cooling portfolio with liquid-cooling technologies designed to support high-density AI and HPC data-center deployments.

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