United States AI Infrastructure Cooling Market

Overview

The United States AI Infrastructure Cooling Market was valued at USD 9.4 billion in 2025 and is projected to reach USD 41.5 billion by 2034, growing at a CAGR of 17.9% during the forecast period (2026–2034). The market growth is driven by rising AI data center deployments, increasing demand for high-density computing, growing adoption of liquid cooling technologies, expansion of hyperscale and edge data centers. The market is shifting from conventional air-cooled precision air conditioning toward direct-to-chip and immersion-based liquid cooling architectures purpose-built for next-generation GPU and accelerator platforms. Government initiatives such as the Executive Order on Accelerating Federal Permitting of Data Center Infrastructure, issued July 23, 2025, and the U.S. Department of Energy's site-selection program for AI data center and co-located energy infrastructure on federal lands, announced November 2025, are streamlining permitting and encouraging developers to bring advanced power and cooling infrastructure online faster across the United States. The Mid-Atlantic region, anchored by Northern Virginia's "Data Center Alley," held the largest share of the market in 2025 given its dense, mature base of hyperscale campuses. The South, led by Texas and the broader Southeast, is projected to be the fastest-growing region during the forecast period as developers pursue power availability and land outside constrained legacy hubs.

Market Size & Share

Market Dynamics

KEY MARKET TREND

AI-Driven Liquid Cooling and Direct-to-Chip Adoption Emerging as a Transformational Trend

• Data center operators are rapidly replacing computer-room air handlers with direct-to-chip cold plates and rear-door heat exchangers as GPU rack densities move past 50–120 kW, a load range that conventional air cooling cannot economically manage.
• Coolant distribution units (CDUs) are being standardized into modular, prefabricated blocks that integrate power and cooling, allowing operators to compress commissioning timelines for large AI campuses.
• Cooling vendors are co-developing reference designs directly with chip manufacturers so that thermal architecture is validated alongside each new accelerator generation rather than retrofitted afterward.
• In March 2026, Vertiv Holdings Co. announced a direct partnership with NVIDIA to develop combined physical infrastructure reference designs, including higher-voltage power and advanced liquid-cooling systems, for AI factory deployments.

KEY MARKET DRIVER

Rising GPU Rack Power Densities and Hyperscale AI Data Center Buildout is the Key Driver

• Modern AI accelerator platforms, including NVIDIA's Blackwell and Vera Rubin families, concentrate far more heat per rack than traditional enterprise servers, making advanced cooling a prerequisite for deployment rather than an optional upgrade.
• State-level power and water constraints in established hubs are pushing new construction toward regions offering available grid capacity, indirectly favoring cooling technologies that reduce water and electricity consumption per rack.
• Rising United States data center electricity demand, linked by the Energy Information Administration to a roughly 2.1% annual increase in overall electricity load over the past five years, is increasing the economic value of energy-efficient cooling architectures that lower Power Usage Effectiveness (PUE).
• The U.S. Department of Energy announced the selection of federal sites for AI data center and co-located energy infrastructure development, a program intended to accelerate permitting for power and cooling buildout on federal lands.

KEY MARKET OPPORTUNITY

Expansion of Cooling-as-a-Service Models and Vendor Consolidation Creating Significant Market Opportunity

• Retrofit and brownfield conversion of existing enterprise and colocation facilities into liquid-cooling-capable sites represents a large addressable opportunity as operators seek to avoid the cost and delay of new construction.
• Diversified industrial and specialty-chemical companies are acquiring specialized liquid-cooling technology providers to assemble full-stack thermal management portfolios spanning fluids, cold plates, CDUs, and controls.
• Coolant and dielectric fluid suppliers are scaling production capacity to support both direct-to-chip and immersion cooling deployments, opening opportunities in the upstream materials segment of the value chain.
• Government initiatives such as the U.S. Department of Energy’s COOLERCHIPS program are supporting the development and commercialization of highly efficient and reliable data center cooling technologies, including advanced liquid cooling and high-density thermal management systems.

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

Segmentation Analysis

Analysis by Cooling Technology

Direct-to-chip liquid cooling held the largest share of the market in 2025 because it removes heat directly at the processor using cold plates and a closed liquid loop, allowing operators to support rack densities of 50 kW and above without redesigning existing rack layouts or facility footprints. Its compatibility with familiar rack form factors and service practices has made it the default choice for hyperscalers retrofitting existing halls as well as new-build AI campuses.

Immersion cooling is projected to grow at the fastest CAGR during the forecast period as operators pursue the lowest achievable Power Usage Effectiveness ratings, often below 1.05, for the newest generation of high-wattage accelerator chips. Single- and two-phase immersion systems eliminate fans and most mechanical cooling infrastructure, reducing both energy and water consumption per rack. Growing dielectric fluid production capacity, falling fluid costs, and expanding vendor ecosystems are lowering barriers to adoption, while purpose-built immersion facilities are increasingly used for the densest AI training clusters where conventional liquid loops reach their thermal limits.

Cooling Technology categories include

• Liquid Cooling (Dominating Segment)
• Immersion Cooling (Highest CAGR Segment)
• Air-Based Cooling
• Hybrid Cooling
• Free Cooling

Analysis by Component

Solutions held the largest market share in 2025, comprising the physical cooling hardware, coolant distribution units, cold plates, heat exchangers, and controls installed across AI-optimized data center facilities. Rapid new-build and retrofit activity is sustaining strong equipment demand nationwide. Growing investments in large-scale AI data centers are further supporting the adoption of integrated cooling solutions.

Services are projected to grow at the fastest CAGR during the forecast period as operators increasingly rely on design, installation, commissioning, and maintenance support to safely deploy unfamiliar liquid and immersion cooling systems at scale, alongside a growing shift toward managed and cooling-as-a-service contracts. Rising focus on energy efficiency, system reliability, and reduced operational costs is further supporting the adoption of outsourced cooling services.

Component categories include

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

Analysis by Data Center Type

Hyperscale data centers held the largest market share in 2025, reflecting the concentration of large-scale AI training and inference capacity among a small number of cloud service providers and neocloud operators building gigawatt-class campuses. Continued expansion of hyperscale AI campuses across the United States is expected to further drive demand for high-capacity and energy-efficient cooling infrastructure.

Colocation facilities are projected to grow at the fastest CAGR during the forecast period as enterprises and mid-sized AI developers lease liquid-cooling-ready capacity from colocation providers rather than building and operating their own facilities. Growing demand for scalable AI infrastructure, faster deployment timelines, and lower capital expenditure is further accelerating the adoption of colocation services.

Data Center Type categories include

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

Analysis by Application

AI training workloads held the largest market share in 2025, since training clusters concentrate the greatest number of high-wattage accelerators in a single facility and generate the most sustained, dense thermal loads requiring advanced cooling. Continued investments in AI infrastructure and high-density computing environments are expected to support strong demand for advanced liquid and hybrid cooling solutions.

AI inference is projected to grow at the fastest CAGR during the forecast period as enterprises and cloud providers deploy inference capacity closer to end users across a wider footprint of facilities, extending high-density cooling requirements beyond a small number of flagship training campuses. Rising deployment of accelerator-based inference systems is further driving investments in efficient and scalable cooling technologies.

Application categories include

• AI Training (Dominating Segment)
• AI Inference (Highest CAGR Segment)
• High-Performance Computing (HPC)

By Region

United States AI Infrastructure Cooling Market Share 2025, (CAGR)

North America

xx%

South America

xx%

Europe

xx%

Middle East Africa

xx%

Asia Pacific

xx%

The Midwest held the largest share of the United States AI Infrastructure Cooling Market in 2025, anchored by Northern Virginia's "Data Center Alley," one of the world's most concentrated data center hubs, with tens of thousands of megawatts of operating and planned capacity. The region's mature fiber connectivity, established utility relationships, and deep base of hyperscale and colocation campuses have made it the default site for cooling vendors piloting and scaling new liquid-cooling deployments. However, grid interconnection queues and rising local electricity costs, with data centers now consuming more than a quarter of Virginia's total electricity, are creating capacity constraints that are pushing incremental growth toward power-rich adjacent markets, even as the region's large existing installed base continues to anchor near-term market size.

The South, led by Texas and complemented by Georgia, the Carolinas, Tennessee, and Louisiana, is projected to grow at the fastest CAGR during the forecast period as developers pursue available land, power, and increasingly favorable siting conditions. Texas alone had more than 6.5 gigawatts of data center capacity under construction, positioning it to overtake Northern Virginia as the nation's largest data center market by 2030, according to industry trackers. Cooling vendors are directing new manufacturing and engineering investment toward the region to support gigawatt-scale AI campuses, including large direct-to-chip and immersion cooling deployments tied to major hyperscale and neocloud projects breaking ground across the region.

Regions Covered

• Midwest
• South
• Midwest
• West

Market Share

The market is consolidated, with a small group of diversified industrial and specialty-technology companies, including Vertiv, Schneider Electric, Johnson Controls, Eaton, and nVent, accounting for a substantial share of installed cooling capacity across major hyperscale and colocation campuses. Consolidation has accelerated as larger players acquire specialized liquid-cooling technology providers to assemble complete thermal management stacks spanning cold plates, coolant distribution units, fluids, and controls, exemplified by Ecolab's acquisition of CoolIT Systems and Eaton's acquisition of Boyd Thermal. Key success factors include the ability to co-engineer reference designs with chipmakers, scale manufacturing quickly to meet hyperscaler procurement timelines, and service both new-build and retrofit deployments. Strategic priorities center on liquid-cooling capacity expansion, vertical integration into fluids and coolant distribution, and partnerships with AI chip vendors and hyperscale operators.

Key Players

• Vertiv Holdings Co. (United States)
• Schneider Electric SE (France)
• Johnson Controls International plc (Ireland)
• Eaton Corporation plc (Ireland)
• nVent Electric plc (United Kingdom)
• STULZ GmbH (Germany)
• Rittal GmbH & Co. KG (Germany)
• Munters Group AB (Sweden)
• Trane Technologies plc (Ireland)
• Carrier Global Corporation (United States)
• Daikin Industries Ltd. (Japan)
• Ecolab Inc. (United States)
• Submer Technologies S.L. (Spain)
• Green Revolution Cooling, Inc. (United States)
• Delta Electronics, Inc. (Taiwan)

Recent Market Developments

• September 2025: Schneider Electric acquired a majority stake in liquid-cooling specialist Motivair, launching the "Motivair by Schneider Electric" portfolio and giving the company direct ownership of coolant distribution unit technology used across U.S. hyperscale AI deployments.
• September 2025: Johnson Controls launched its Silent-Aire coolant distribution unit (CDU) platform, a scalable system designed to serve data center blocks ranging from 500 kilowatts to 10 megawatts, expanding its liquid-cooling offering for AI-driven facilities.
• July 2026: nVent Electric leased a 160,000-square-foot facility in Blaine, Minnesota, to expand liquid-cooling manufacturing capacity, bringing its total liquid-cooling manufacturing footprint added over three years to more than 400,000 square feet.
• July 2026: Ecolab Inc. completed its approximately USD 4.75 billion acquisition of CoolIT Systems, a Calgary-based direct liquid cooling specialist, adding cold plates, coolant distribution units, and thermal management technology to its portfolio for AI data centers.

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