According to our (Global Info Research) latest study, the global Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market size was valued at US$ 1904 million in 2025 and is forecast to a readjusted size of US$ 7386 million by 2032 with a CAGR of 18.1% during review period.
Air-cooled and dry heat rejection equipment for AI training clusters refers to engineered facility-side cooling equipment and systems that reject heat from AI training clusters, HPC facilities and high-density data centres to the outdoor ambient air. The scope focuses on the primary heat rejection and cooling plant layer, including dry coolers, adiabatic dry coolers, air-cooled fluid coolers, air-cooled chillers with free-cooling functions, outdoor heat rejection modules for liquid-cooling loops, and equipment integrated with CDUs, CRAHs, direct-to-chip cold plates or immersion cooling systems. Key performance parameters include cooling capacity, thermal efficiency, fan power, acoustic performance, footprint, redundancy, free-cooling hours, water-use profile, reliability and modular deployability.
Air-cooled and dry heat rejection equipment for AI training clusters should be understood as a facility-side infrastructure category rather than as a conventional cooling-tower market. The category sits at the intersection of mature HVAC equipment, industrial heat exchangers, precision data-centre cooling and emerging liquid-cooling infrastructure. Its role is to reject heat from AI training workloads, high-density racks, CDUs, chilled-water loops and liquid-cooling circuits to the outdoor ambient environment. As AI clusters move towards higher rack densities and more concentrated thermal loads, the relevant buying criteria are shifting from unit-level cooling capacity alone to system reliability, modularity, water-use profile, free-cooling hours, redundancy, acoustic performance, footprint and speed of deployment.
The global supply structure is layered. Large thermal-management groups such as Johnson Controls, Carrier, Trane, Daikin and Vertiv are positioned around integrated cooling plants, air-cooled chillers, CRAHs, CDUs, controls and global service networks. Specialist heat-rejection manufacturers such as SPX/Marley, BAC, EVAPCO, Kelvion, Alfa Laval, ThermoKey and LU-VE compete through dry coolers, adiabatic coolers, air-fin coolers and industrial heat-exchange know-how. China and Taiwan add a fast-growing regional layer, represented by Envicool, Shenling, Canatal, Midea Building Technologies and Delta Electronics, where local AI computing projects, telecom operators and internet customers are accelerating demand for customised, rapidly deployable cooling systems.
Demand growth is driven by new AI factories, retrofits of existing data centres for liquid-cooled racks, and water-constrained regions seeking alternatives to conventional wet cooling. The rise of direct-to-chip and immersion cooling does not eliminate the need for outdoor heat rejection. Instead, liquid cooling moves heat more efficiently from chips and racks into fluid loops, which then require dry coolers, air-cooled chillers, adiabatic coolers, cooling towers or other external heat sinks. The most important industry transition is therefore not air cooling versus liquid cooling in isolation, but the integration of liquid-cooled IT with efficient, scalable and water-conscious facility-side heat rejection.
This report is a detailed and comprehensive analysis for global Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market. Both quantitative and qualitative analyses are presented by manufacturers, by region & country, by Heat Rejection Equipment and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2025, are provided.
Key Features:
Global Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market size and forecasts, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market size and forecasts by region and country, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market size and forecasts, by Heat Rejection Equipment and by Application, in consumption value ($ Million), sales quantity (Units), and average selling prices (US$/Unit), 2021-2032
Global Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market shares of main players, shipments in revenue ($ Million), sales quantity (Units), and ASP (US$/Unit), 2021-2026
The Primary Objectives in This Report Are:
To determine the size of the total market opportunity of global and key countries
To assess the growth potential for Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters
To forecast future growth in each product and end-use market
To assess competitive factors affecting the marketplace
This report profiles key players in the global Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market based on the following parameters - company overview, sales quantity, revenue, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include Johnson Controls, Carrier Global Corporation, Trane Technologies, Vertiv, SPX Cooling Tech, Baltimore Aircoil Company, EVAPCO, Airedale, Daikin, Kelvion, etc.
This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals.
Market Segmentation
Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market is split by Heat Rejection Equipment and by Application. For the period 2021-2032, the growth among segments provides accurate calculations and forecasts for consumption value by Heat Rejection Equipment, and by Application in terms of volume and value. This analysis can help you expand your business by targeting qualified niche markets.
Market segment by Heat Rejection Equipment
Dry Cooler
Adiabatic Dry Cooler
Air-Cooled Chiller
Integrated Outdoor Cooling Module
Market segment by System Layer
Primary Heat Rejection
Cooling Plant
Room / Row Interface
Rack / IT Interface
Market segment by Cooling Mechanism
Sensible Dry Cooling
Adiabatic-Assisted Cooling
Mechanical Refrigeration
Hybrid Free Cooling
Market segment by Application
AI Training Rack
HPC / Supercomputing Rack
Cloud Data-Centre Rack
Telecom / Edge High-Power Rack
Other
Major players covered
Johnson Controls
Carrier Global Corporation
Trane Technologies
Vertiv
SPX Cooling Tech
Baltimore Aircoil Company
EVAPCO
Airedale
Daikin
Kelvion
STULZ
Mitsubishi Electric Hydronics & IT Cooling Systems
Munters
Alfa Laval
ThermoKey
Aermec
Mitsubishi Heavy Industries
Envicool
Shenling
Canatal
Midea Building Technologies
Delta Electronics
Market segment by region, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, United Kingdom, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, Korea, India, Southeast Asia, and Australia)
South America (Brazil, Argentina, Colombia, and Rest of South America)
Middle East & Africa (Saudi Arabia, UAE, Egypt, South Africa, and Rest of Middle East & Africa)
The content of the study subjects, includes a total of 15 chapters:
Chapter 1, to describe Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters product scope, market overview, market estimation caveats and base year.
Chapter 2, to profile the top manufacturers of Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters, with price, sales quantity, revenue, and global market share of Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters from 2021 to 2026.
Chapter 3, the Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters competitive situation, sales quantity, revenue, and global market share of top manufacturers are analyzed emphatically by landscape contrast.
Chapter 4, the Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters breakdown data are shown at the regional level, to show the sales quantity, consumption value, and growth by regions, from 2021 to 2032.
Chapter 5 and 6, to segment the sales by Heat Rejection Equipment and by Application, with sales market share and growth rate by Heat Rejection Equipment, by Application, from 2021 to 2032.
Chapter 7, 8, 9, 10 and 11, to break the sales data at the country level, with sales quantity, consumption value, and market share for key countries in the world, from 2021 to 2026.and Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market forecast, by regions, by Heat Rejection Equipment, and by Application, with sales and revenue, from 2027 to 2032.
Chapter 12, market dynamics, drivers, restraints, trends, and Porters Five Forces analysis.
Chapter 13, the key raw materials and key suppliers, and industry chain of Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters.
Chapter 14 and 15, to describe Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters sales channel, distributors, customers, research findings and conclusion.
Summary:
Get latest Market Research Reports on Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters. Industry analysis & Market Report on Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters is a syndicated market report, published as Global Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters Market 2026 by Manufacturers, Regions, Type and Application, Forecast to 2032. It is complete Research Study and Industry Analysis of Air-Cooled and Dry Heat Rejection Equipment for AI Training Clusters market, to understand, Market Demand, Growth, trends analysis and Factor Influencing market.