United States AI Data Center Thermal Management Market

Overview

The United States AI Data Center Thermal Management Market was valued at USD 3.8 billion in 2025 and is projected to reach USD 23.9 billion by 2034, growing at a CAGR of 22.5% during the forecast period (2026-2034). The market is driven by the rapid expansion of GPU-based AI infrastructure, rising rack power densities, and the accelerating shift from air cooling toward direct-to-chip and immersion liquid cooling technologies across hyperscale and colocation facilities. The market is shifting from conventional, reliance on centralized computer room air handlers toward distributed, rack-level and chip-level liquid cooling architectures that can be scaled incrementally as GPU deployments grow. Government initiatives such as the Department of Energy's Powering America's AI Future program are coordinating federal land partnerships, streamlined permitting, and financing support for next-generation AI infrastructure, while congressional efforts including proposed liquid cooling legislation are pushing federal agencies to study and promote more efficient thermal management practices across the industry. By Region, The South holds the largest share of the market, anchored by the dense concentration of hyperscale AI campuses across Virginia, Texas, and Georgia. The West is projected to grow at the fastest pace during the forecast period, supported by large-scale hyperscale expansion across Arizona and Nevada, where new AI-optimized data center capacity is under active construction to meet rising compute demand.

Market Size & Share

Market Dynamics

KEY MARKET TREND

Adoption of Direct-to-Chip Liquid Cooling Architectures Emerging as a Transformational Trend

• Data center operators are increasingly replacing conventional air-cooling systems with direct-to-chip liquid cooling architectures as GPU rack densities move well beyond the limits of forced-air heat removal. Average rack density climbed from roughly 16 kW in 2025 to about 27 kW in 2026, and NVIDIA's upcoming Vera Rubin platform is expected to push individual rack requirements as high as 246 kW.
• Coolant distribution unit designs inspired by Google's open-sourced Project Deschutes specification are becoming a common industry reference point for liquid cooling hardware. Multiple thermal management suppliers, including Boyd Corporation and nVent, have introduced coolant distribution units built around this design in the past year, signaling a shift toward standardized, interoperable liquid cooling components across the AI data center supply chain.
• Hybrid cooling systems that combine air and liquid pathways within a single packaged unit are gaining adoption as operators seek to support mixed IT environments during the transition to full liquid cooling. Industry surveys indicate that roughly one in five data center operators had already deployed liquid cooling by 2026, with a much larger share planning adoption within the next one to two years.
• The Department of Energy is accelerating advanced cooling technology development through its Data Center Cooling Collaborative, which is intended to bring more efficient cooling systems to market faster, while the National Alliance for Water Innovation is supporting new water-reuse solutions to help data centers use water more efficiently.

KEY MARKET DRIVER

Rising Power Density of AI Accelerator Chips Driving Demand for Advanced Thermal Management

• Modern AI accelerator chips are driving thermal design power envelopes far beyond what earlier server generations required, forcing operators to abandon air cooling for high-density racks. NVIDIA's current-generation GPU platforms already generate rack-level heat loads of 120 to 160 kW, and next-generation Rubin-class systems are expected to approach 250 kW per rack.
• Hyperscale operators have committed unprecedented levels of capital expenditure to AI infrastructure, with combined data center spending by Microsoft, Google, Amazon, and Meta exceeding 300 billion dollars in 2025 alone. A substantial share of that spending is being directed toward liquid cooling equipment, since every new GPU cluster deployment requires a dedicated thermal management system to operate reliably.
• Utility interconnection delays have become one of the largest obstacles to new AI data center construction, with some major US markets requiring three to four years to secure additional grid capacity. This constraint is pushing operators toward thermal management systems that extract more usable compute from a fixed power allocation, since efficient cooling directly increases the number of GPUs a facility can support within its available electrical supply.
• Senators Dave McCormick and Chris Coons introduced the bipartisan Liquid Cooling for AI Act of 2025 in November 2025, directing the Government Accountability Office to assess research and development needs for liquid cooling and requiring the Department of Energy to recommend best practices for the technology. The bill reflects growing federal recognition that cooling efficiency is now central to maintaining US leadership in AI infrastructure.
• KEY MARKET OPPORTUNITY

Retrofit of Legacy Air-Cooled Facilities Creating Significant Market Opportunity

• The large installed base of air-cooled data center halls across the United States represents a significant retrofit opportunity for thermal management suppliers, since most existing facilities were not designed to support high-density AI racks. Products such as liquid-to-air heat dissipation units and rear-door heat exchangers allow operators to introduce liquid cooling into brownfield sites without building new chilled water infrastructure.
• Colocation providers are retrofitting existing halls to attract AI-focused tenants who are willing to pay a substantial premium for liquid-cooled capacity compared with traditional air-cooled space. This dynamic is creating a distinct market opportunity for coolant distribution units and modular liquid cooling packages that can be installed within existing facilities with minimal downtime.
• Consolidation among thermal management suppliers is opening new opportunities for combined hardware-and-chemistry service models, as companies seek to bundle cooling equipment with water treatment, fluid management, and monitoring services. This integrated approach allows suppliers to capture recurring service revenue in addition to one-time equipment sales, extending customer relationships across the full lifecycle of a liquid-cooled facility.
• Trane Technologies completed its acquisition of LiquidStack, a Carrollton, Texas-based direct-to-chip and immersion cooling specialist, on March 3, 2026, expanding its thermal management portfolio from the central plant down to the chip level. The deal illustrates how established HVAC manufacturers are acquiring specialized liquid cooling technology to offer a single integrated solution to data center customers.

United States AI Data Center Thermal Management 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, supported by its position as the default cooling method for GPU-based AI racks. Coolant distribution units paired with cold plates mounted directly on CPUs and GPUs allow operators to remove heat far more efficiently than air-based systems, which cannot keep pace with racks exceeding 100 kW. Hyperscale operators including Microsoft, Google, Amazon, and Meta have standardized on direct-to-chip designs for their newest AI campuses, and suppliers such as Vertiv, Schneider Electric, and CoolIT Systems have expanded their coolant distribution unit portfolios specifically to serve this demand, reinforcing the segment's leading position across new AI deployments nationwide.

Immersion cooling is projected to grow at the fastest CAGR during the forecast period, starting from a comparatively small installed base but expanding quickly as rack densities move beyond what direct-to-chip systems can economically support. Two-phase and single-phase immersion systems from suppliers including LiquidStack, Green Revolution Cooling, and Submer Technologies are increasingly being evaluated for ultra-high-density AI training clusters, where they can remove heat from every component in a chassis rather than only the processor. Growing interest from hyperscale operators in reducing water consumption and improving energy efficiency is also supporting faster adoption of immersion technology across new greenfield AI facility construction in the coming years.

Cooling Technology categories include

• Direct-to-Chip Liquid Cooling (Dominating Segment)
• Immersion Cooling (Highest CAGR Segment)
• Air Cooling
• Rear-Door Heat Exchangers
• Hybrid Cooling Systems

Analysis by Component

Coolant distribution units held the largest share of the market in 2025, functioning as the central hub that regulates coolant temperature, flow, and pressure between facility water loops and rack-level liquid cooling circuits. Because a coolant distribution unit is required in virtually every direct-to-chip and hybrid liquid cooling installation, demand for this component has grown in direct proportion to overall liquid cooling adoption across hyperscale and colocation facilities. Suppliers including Vertiv, Motivair by Schneider Electric, and Boyd Corporation have introduced progressively larger units, with some models now scaling to multiple megawatts of cooling capacity to support gigawatt-scale AI campuses, reinforcing the segment's central role in the market.

Cold plates are projected to grow at the fastest CAGR during the forecast period, tracking closely with the pace of GPU shipments since each new accelerator generation typically requires a redesigned cold plate to match its thermal footprint. As chip thermal design power moves toward and beyond 1,000 watts per socket, suppliers such as CoolIT Systems and JetCool are engineering higher-performance split-flow and impingement cold plate designs to keep pace with next-generation processors from NVIDIA and AMD. This tight coupling between chip roadmaps and cold plate innovation is expected to sustain rapid growth in this component category through the forecast period.

Component categories include

• Coolant Distribution Units (Dominating Segment)
• Cold Plates (Highest CAGR Segment)
• Heat Exchangers
• Chillers
• Pumps

Analysis by Data Center Type

Hyperscale data centers held for the largest share of the market in 2025, reflecting the scale of capital expenditure that Microsoft, Google, Amazon, and Meta are directing toward AI-optimized campuses across the country. These operators are deploying thermal management systems at gigawatt scale, and their purchasing decisions are shaping component standards, such as coolant distribution unit designs based on Google's Project Deschutes specification, that are subsequently adopted across the broader industry. The concentration of GPU clusters within hyperscale facilities means that a small number of operators account for a disproportionately large share of thermal management equipment purchases nationwide.

Colocation data centers are projected to grow at the fastest CAGR during the forecast period as providers retrofit existing halls to attract AI-focused tenants willing to pay a substantial premium for liquid-cooled capacity. Colocation operators are increasingly offering dedicated high-density suites equipped with coolant distribution units and rear-door heat exchangers to serve enterprise customers who need GPU capacity but lack the scale to build their own facilities. This shift is opening a fast-growing market for modular thermal management equipment designed specifically for retrofit deployment in multi-tenant environments.

Data Center type categories include

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

Analysis by Deployment

Greenfield deployment held the largest share of the market in 2025, as the majority of new AI-optimized data center capacity in the United States is being built as purpose-designed campuses rather than converted from existing facilities. Greenfield construction allows operators to design chilled water loops, electrical infrastructure, and liquid cooling systems together from the outset, avoiding the compromises associated with retrofitting older buildings. Multi-hundred-megawatt AI campuses currently under construction across Virginia, Texas, and Arizona are almost entirely specifying liquid cooling infrastructure at the design stage, supporting the segment's leading position.

Retrofit deployment is projected to grow at the fastest CAGR during the forecast period, driven by the large installed base of air-cooled facilities that operators are converting to support AI workloads without waiting for new construction. Products such as liquid-to-air heat dissipation units and rear-door heat exchangers allow operators to introduce liquid cooling into brownfield sites while using much of their existing chilled water and electrical infrastructure. Growing pressure to bring AI capacity online quickly, combined with lengthy utility interconnection timelines for new construction, is accelerating retrofit activity across colocation and enterprise facilities.

Deployment Type categories include

• Greenfield Deployment (Dominating Segment)
• Retrofit Deployment (Highest CAGR Segment)

Analysis by End User

Cloud service providers accounted for the largest share of the market in 2025, reflecting their position as the primary buyers of GPU-based AI infrastructure in the United States. Microsoft Azure, Google Cloud, and Amazon Web Services are each operating large fleets of AI training and inference clusters that require dedicated thermal management systems, and their scale of purchasing gives them significant influence over component standards adopted across the wider supplier ecosystem. This concentration of demand among a small number of large cloud operators is expected to keep the segment in the leading position throughout the forecast period.

Colocation providers are projected to grow at the fastest CAGR during the forecast period as enterprise customers increasingly turn to third-party facilities rather than building their own AI infrastructure. This shift is creating strong demand for liquid cooling equipment that colocation operators can deploy across multiple tenant suites, and providers are responding by building dedicated high-density halls equipped with coolant distribution units and direct-to-chip cooling loops. Rising demand from enterprise customers seeking GPU capacity without capital investment in their own facilities is expected to sustain this growth.

End User categories include

• Cloud Service Providers (Dominating Segment)
• Colocation Providers (Highest CAGR Segment)
• Enterprise Users
• Government Agencies

By Region

United States AI Data Center Thermal Management Market Share, 2025

North America

xx%

South America

xx%

Europe

xx%

Middle East Africa

xx%

Asia Pacific

xx%

The South holds the largest share of the United States AI data center thermal management market, anchored by the dense concentration of hyperscale AI campuses across Northern Virginia, Texas, and Georgia. Virginia's Loudoun County corridor, long known as the country's largest data center hub, continues to attract new AI-optimized capacity from major cloud operators, while Texas has emerged as a preferred site for gigawatt-scale AI campuses due to available land and developing power infrastructure. Georgia has become a focal point for grid investment following the Department of Energy's 26.5 billion dollar loan package to Georgia Power and Alabama Power, which is adding more than 16 gigawatts of new generation capacity to support data center growth. The combination of established data center infrastructure, growing power availability, and proximity to fiber networks continues to reinforce the South's leading position in the market.

The West is projected to grow at the fastest CAGR during the forecast period, driven by large-scale hyperscale campus construction across Arizona and Nevada. Phoenix and its surrounding suburbs have become one of the most active AI data center construction markets in the country, with major cloud operators expanding campuses to take advantage of available land and developing renewable power capacity. Nevada is attracting similar investment as operators seek sites within reach of California's technology ecosystem but with more available power capacity and lower land costs. As these facilities are built with AI workloads in mind from the outset, a substantial share of new capacity across the region is being designed around direct-to-chip and immersion liquid cooling from initial construction, supporting rapid growth in thermal management equipment demand.

Regions and States Covered

• South (Dominating Region)
• West (Fastest Growing Region)
• Midwest
• Northeast

Market Share

The United States AI data center thermal management market is fragmented, combining large diversified thermal management and HVAC suppliers such as Vertiv, Schneider Electric, and Trane Technologies with specialized liquid cooling companies including CoolIT Systems, Green Revolution Cooling, and ZutaCore. Competitive success increasingly depends on the ability to supply validated, high-capacity coolant distribution units and cold plates that are certified for the newest GPU platforms from NVIDIA and AMD. Strategic priorities across the industry include capacity expansion, vertical integration through acquisition, and the development of standardized designs compatible with open specifications such as Google's Project Deschutes. Merger and acquisition activity has accelerated sharply, with established manufacturers acquiring specialized liquid cooling and immersion cooling technology providers to offer customers a single, integrated thermal management solution spanning the central plant to the chip.

Key Players

• Vertiv Holdings Co. (United States)
• Schneider Electric SE (France)
• nVent Electric plc (United Kingdom)
• Munters Group AB (Sweden)
• STULZ GmbH (Germany)
• Ecolab Inc. / CoolIT Systems (United States / Canada)
• Boyd Corporation (United States)
• Flex Ltd. / JetCool Technologies (United States)
• Trane Technologies plc / LiquidStack (Ireland / United States)
• Green Revolution Cooling, Inc. (United States)
• Accelsius LLC (United States)
• Daikin Applied / Chilldyne (Japan / United States)
• ZutaCore, Inc. (United States)
• Submer Technologies, S.L. (Spain)
• Iceotope Technologies Ltd. (United Kingdom)
• Rittal GmbH & Co. KG (Germany)
• Delta Electronics, Inc. (Taiwan)
• Modine Manufacturing Company / Airedale by Modine (United States)

Recent Market Developments

• In September 2025, Schneider Electric unveiled its complete liquid cooling portfolio under the Motivair by Schneider Electric brand, including coolant distribution units scaling from 105 kilowatts to 2.5 megawatts, ChilledDoor rear-door heat exchangers, and Dynamic Cold Plates, following its February 2025 acquisition of Motivair.
• In October 2025, Boyd Corporation launched the ROL4000, a 2-megawatt in-row coolant distribution unit inspired by Google's fifth-generation Project Deschutes design, aimed at accelerating liquid cooling adoption across hyperscale and colocation AI data centers.
• In November 2025, Daikin Applied acquired Chilldyne, a Carlsbad, California-based developer of negative-pressure, direct-to-chip liquid cooling systems, adding leak-resistant cooling distribution units and cold plates to its US data center thermal management offering.
• In December 2025, Motivair by Schneider Electric launched the MCDU-45 and MCDU-55, its first purpose-built coolant distribution units designed for installation in utility corridors, broadening deployment flexibility across a wider range of data center configurations. 

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