United States AI Data Center Cooling Market Set for Strong Growth, Reaching USD 12.99 Billion by 2034

The rapid growth of artificial intelligence (AI), high-performance computing and hyperscale data centres is transforming the technology infrastructure landscape across the United States. As organisations deploy increasingly powerful AI models, the demand for advanced cooling technologies is rising to manage heat, improve thermal performance and support high-density computing environments.

According to the market estimates provided in the source report, the United States AI Data Center Cooling Market was valued at approximately USD 2.82 billion in 2025 and is projected to reach USD 12.99 billion by 2034, registering a compound annual growth rate (CAGR) of 18.5% between 2026 and 2034.

This projected expansion reflects a significant shift in data centre infrastructure planning. Traditional air-cooling systems are facing growing challenges as AI processors generate more heat, encouraging operators to explore liquid cooling, hybrid air-liquid systems and integrated power-and-cooling solutions.

For manufacturers, technology providers, infrastructure developers and service companies, these developments present potential opportunities to participate in the next phase of AI infrastructure expansion.

United States AI Data Center Cooling Market: Key Figures and Growth Outlook

The increasing adoption of AI is making thermal management a central consideration in data centre design. As computing systems become more powerful, operators must invest in cooling infrastructure capable of supporting higher rack power densities and increasingly demanding workloads.

Market Size and Forecast, 2025–2034
The source report provides the following market estimates:

Market Indicator
Report Estimate
Market size in 2025
USD 2.82 billion
Market size in 2026
USD 3.34 billion
Projected market size by 2034
USD 12.99 billion
Forecast CAGR, 2026–2034
18.5%
Largest regional market
South
Fastest-growing region
West
Fastest-growing cooling type
Liquid cooling
These figures highlight the projected growth in demand for advanced cooling infrastructure throughout the forecast period.

The expansion of AI computing creates potential opportunities for companies supplying thermal-management equipment, electrical infrastructure, cooling systems, installation services and technical support.

AI Workloads Drive Demand for Advanced Cooling Technologies
AI applications require substantial computing power, particularly when organisations train and operate sophisticated AI models using graphics processing units (GPUs) and accelerated computing systems.

These workloads can generate considerable heat within densely configured data centre racks. Consequently, operators are increasingly evaluating cooling solutions that can remove heat effectively while supporting reliable and scalable infrastructure.

Rising Rack Power Density Changes Data Centre Design
Increasing rack power density is one of the major considerations shaping modern data centre cooling requirements.

According to the source report, rack densities exceeding 140 kW are creating substantial thermal-management challenges, with future deployments moving towards 1 MW and beyond.

These developments require operators to reconsider traditional approaches to cooling infrastructure.

Key considerations include:

Thermal performance: Removing heat effectively from high-density GPU racks.

Energy efficiency: Managing cooling-related energy consumption while maintaining suitable operating conditions.

Infrastructure integration: Coordinating cooling systems with power distribution and computing equipment.

Scalability: Supporting future computing capacity without extensive reconstruction.

Operational reliability: Selecting cooling architectures suitable for continuous, demanding workloads.

For infrastructure developers, addressing these requirements early in the planning process can help align cooling capacity with future computing needs.

Integrated Power-and-Cooling Platforms Gain Attention
Another emerging trend is the integration of power delivery and cooling infrastructure.

Large-scale AI data centres require coordinated planning for electricity supply, equipment configuration and heat removal. This has encouraged vendors to develop integrated infrastructure offerings rather than treating power and cooling as entirely separate systems.

For technology suppliers, this creates opportunities to provide broader solutions that address multiple infrastructure requirements within a single project.

Liquid Cooling and Hybrid Systems Shape Market Competition
Cooling technology selection depends on rack density, computing requirements, facility design and existing infrastructure.

The source report identifies hybrid air-liquid cooling as the largest cooling-type segment in 2025, while liquid cooling is projected to record the fastest CAGR during the forecast period.

This distinction demonstrates the importance of both established deployment approaches and emerging technologies in the evolving market.

Hybrid Air-Liquid Cooling Supports Facility Upgrades
Hybrid air-liquid cooling combines liquid-based heat removal for high-density computing equipment with conventional air cooling for components that do not require the same level of thermal management.

This approach can be particularly relevant for operators upgrading existing facilities to accommodate AI workloads.

Potential advantages include:

Integrating advanced cooling technologies with existing infrastructure.

Supporting phased upgrades as computing requirements increase.

Reducing the need for extensive facility reconstruction.

Accommodating different rack configurations and thermal requirements.

Supporting environments that combine conventional computing with AI applications.

As a result, hybrid systems may offer flexibility for data centre operators transitioning towards higher-density computing environments.

Liquid Cooling Emerges as a High-Growth Segment
Liquid cooling is projected to be the fastest-growing cooling type in the United States AI Data Center Cooling Market.

Its growth outlook is associated with rising GPU density, higher thermal loads and the increasing need to remove heat directly from advanced computing systems.

Liquid cooling is becoming increasingly relevant to new data centre construction and selected infrastructure upgrades.

Beyond equipment manufacturing, the segment also creates potential opportunities in system integration, commissioning, maintenance and technical support.

Direct-to-Chip and Immersion Cooling Create Technology Opportunities
Within liquid cooling technologies, the source report identifies direct-to-chip cooling as the leading technology in 2025 and immersion cooling as the fastest-growing technology during the forecast period.

Direct-to-Chip Cooling Leads the Current Technology Landscape
Direct-to-chip cooling transfers heat from processors and other high-performance components to a liquid cooling loop.

This technology is particularly relevant to GPU-intensive AI environments where removing heat directly from computing components is an important engineering consideration.

It can also support cooling arrangements in which conventional air cooling remains in use for other facility components.

For technology providers, direct-to-chip cooling represents an important area of the current high-density computing infrastructure landscape.

Immersion Cooling Offers Potential for High-Density Computing
Immersion cooling involves placing computing components in a thermally conductive liquid to facilitate heat transfer.

The source report identifies immersion cooling as the fastest-growing liquid cooling technology during the forecast period.

Its growth potential is associated with the thermal requirements of densely packed computing systems and the development of advanced AI infrastructure.

However, technology selection depends on equipment compatibility, facility design, application requirements and operational considerations.

Other technologies covered by the report include rear-door heat exchangers, which provide an additional approach to managing heat generated by data centre equipment.

Hyperscale and Colocation Facilities Expand Market Opportunities
Different data centre models create different requirements for cooling infrastructure.

According to the source report, hyperscale data centres represented the largest segment by data centre type in 2025, while colocation facilities are projected to record the fastest CAGR during the forecast period.

Hyperscale Data Centres Maintain Their Leading Position
Hyperscale facilities support large-scale computing workloads and may accommodate extensive GPU deployments.

Their infrastructure requirements include substantial computing capacity, coordinated power delivery, advanced cooling and provisions for future expansion.

As AI infrastructure development continues, hyperscale operators are expected to remain important customers for cooling equipment manufacturers and integrated infrastructure providers.

Colocation Facilities Present Growth Opportunities
Colocation providers offer shared data centre infrastructure to multiple organisations, allowing customers to access computing facilities without constructing dedicated data centres.

As demand for AI computing expands, colocation operators are adapting their facilities to accommodate higher rack densities and more sophisticated cooling requirements.

This creates potential opportunities for cooling equipment manufacturers, system integrators and technical service providers.

Enterprise data centres also contribute to demand, particularly where organisations are upgrading computing infrastructure to support AI applications.

Regional Outlook: The South Leads While the West Accelerates
Regional investment patterns are an important factor shaping demand for AI data centre cooling technologies across the United States.

The source report identifies the South, anchored by Texas and Virginia, as the largest regional market in 2025. The West, anchored by Arizona and Nevada, is projected to experience the fastest growth during the forecast period.

The South Remains a Major Data Centre Hub
Texas and Virginia are highlighted as important locations for hyperscale and AI-focused data centre infrastructure.

The expansion of computing capacity in these markets increases demand for cooling systems capable of supporting sustained workloads and high rack power densities.

Electricity infrastructure, environmental conditions, site availability and individual project requirements can all influence cooling technology decisions.

The West Creates New Growth Potential
Arizona and Nevada are identified as key markets contributing to the West's projected growth.

Continued development of AI-focused campuses and large-scale digital infrastructure is expected to increase requirements for advanced thermal management.

For cooling manufacturers and infrastructure suppliers, these regional trends can help inform investment priorities, distribution strategies and customer-development plans.

Competitive Landscape: Major Companies Position for AI Infrastructure Growth
The United States AI Data Center Cooling Market includes established electrical and thermal-management companies alongside specialised liquid cooling providers.

The source report describes the market as fragmented, with participants competing through cooling technologies, integrated infrastructure solutions and specialised capabilities for high-density computing environments.

Key Market Participants
Companies identified in the source report include:

Vertiv Holdings Co.

Schneider Electric SE

nVent Electric plc

Siemens AG

Johnson Controls International plc

Trane Technologies plc

Carrier Global Corporation

Eaton Corporation plc

CoolIT Systems Inc.

Submer Technologies S.L.

Green Revolution Cooling, Inc.

Boyd Corporation

Delta Electronics, Inc.

STULZ GmbH

Rittal GmbH & Co. KG

These companies participate in different areas of the data centre infrastructure ecosystem, including liquid cooling, precision cooling, electrical systems, thermal management and integrated infrastructure solutions.

Strategic Developments Strengthen Cooling Capabilities
The source report highlights several developments relevant to the competitive landscape:

March 2026: Vertiv announced an approximately USD 50 million expansion of its Ironton, Ohio, manufacturing facility to increase US production of liquid cooling and thermal-management systems for high-density AI data centres.

September 2025: Schneider Electric partnered with AVAIO Digital to supply power and chiller-based cooling infrastructure for four new AI-ready data centre campuses in the United States.

March 2026: Trane Technologies completed its acquisition of LiquidStack, strengthening its data centre cooling portfolio with liquid cooling technologies for high-density AI and high-performance computing deployments.

These developments illustrate the importance of manufacturing capacity, specialised technology and strategic partnerships as companies respond to evolving infrastructure requirements.

Note: The announcements above are reported in the source material and should be independently verified before publication.

Market Opportunities for Cooling Manufacturers and Service Providers
The projected expansion of the market creates opportunities across equipment supply, infrastructure integration and ongoing technical services.

Integrated Infrastructure Solutions
Companies capable of coordinating power delivery and cooling requirements may be well positioned to serve complex AI data centre projects.

Integrated solutions can help customers evaluate infrastructure requirements earlier in the development process.

Retrofit-Friendly Cooling Technologies
Existing data centres represent a potential market for hybrid cooling systems that enable operators to upgrade selected areas without rebuilding entire facilities.

Solutions that support phased infrastructure improvements may appeal to operators transitioning towards higher-density workloads.

Expansion Beyond Hyperscale Operators
Colocation providers and enterprise customers represent additional potential customer segments.

Their requirements can vary according to facility size, computing workloads, equipment configurations and expansion plans.

Installation, Maintenance and Consulting Services
Increasing cooling-system complexity can create demand for specialised services, including:

Cooling system installation and commissioning.

Infrastructure integration and technical consulting.

Preventive maintenance and operational support.

System monitoring and performance optimisation.

Cooling infrastructure upgrades and retrofits.

The source report identifies solutions as the largest component segment in 2025, while services are projected to grow at the fastest CAGR.

This indicates potential opportunities for companies that combine infrastructure products with specialised implementation and support capabilities.

Frequently Asked Questions (FAQs)
1. What is the projected size of the United States AI Data Center Cooling Market by 2034?
The market is projected to reach approximately USD 12.99 billion by 2034, increasing from an estimated USD 2.82 billion in 2025, according to the source report.

2. What is the expected CAGR of the market?
The United States AI Data Center Cooling Market is projected to grow at a CAGR of 18.5% between 2026 and 2034.

3. What factors are driving market growth?
Key factors include increasing AI workloads, rising GPU rack power densities, hyperscale data centre development and growing demand for advanced thermal-management technologies.

4. Which cooling type held the largest market share in 2025?
Hybrid air-liquid cooling held the largest market share by cooling type in 2025, according to the source report.

5. Which cooling type is expected to grow fastest?
Liquid cooling is projected to record the fastest CAGR among cooling types during the forecast period.

6. Which liquid cooling technology is expected to grow fastest?
Immersion cooling is identified as the fastest-growing liquid cooling technology in the source report.

7. Which region currently leads the market?
The South, anchored by Texas and Virginia, held the largest regional market share in 2025.

8. Which region is expected to experience the fastest growth?
The West, anchored by Arizona and Nevada, is projected to record the fastest growth during the forecast period.

9. Who are the major companies in the market?
Key participants identified in the report include Vertiv, Schneider Electric, nVent, Siemens, Johnson Controls, Trane Technologies, Carrier, Eaton, CoolIT Systems and Submer, among others.

10. What opportunities are available for businesses entering this market?
Potential opportunities include liquid cooling equipment, hybrid retrofit solutions, integrated power-and-cooling systems, infrastructure installation, maintenance and technical consulting.

11. Why is cooling important for AI data centres?
AI computing equipment generates substantial heat, particularly in high-density GPU configurations. Effective cooling helps manage thermal loads and supports the reliable operation of increasingly powerful computing infrastructure.

Conclusion: Advanced Cooling Becomes Central to AI Infrastructure Expansion
The United States AI Data Center Cooling Market is projected to experience substantial growth as artificial intelligence increases the power and thermal requirements of modern computing facilities.

The forecast increase from USD 2.82 billion in 2025 to USD 12.99 billion by 2034 highlights the growing commercial importance of cooling infrastructure within the AI ecosystem.

Hybrid air-liquid systems currently lead the reported cooling-type market, while liquid cooling is projected to experience the fastest growth. Direct-to-chip cooling maintains a leading position among liquid cooling technologies, while immersion cooling is expected to expand rapidly.

At the same time, hyperscale data centres, colocation facilities and regional infrastructure developments are creating diverse requirements for equipment manufacturers, technology suppliers and service providers.

For businesses considering market entry, investment or expansion, the key priorities include addressing higher rack densities, improving infrastructure integration, supporting facility upgrades and providing reliable operational services.

The United States AI Data Center Cooling Market represents an important growth opportunity for businesses involved in AI infrastructure, thermal management, electrical systems and data centre services. Companies that align their products and capabilities with evolving cooling requirements may be better positioned to participate in the next phase of US AI infrastructure development.

Market figures and forecasts in this article are based on the supplied source material. Forecasts represent estimates and are not guarantees of future market performance.