Global AI Data Center Water Consumption & Cooling Infrastructure Market Growing at CAGR 20.7% to Reach USD 31,600 Million by 2032

Cooling and water use in AI data centers are changing faster than at any point in the industry’s history. Operators are moving away from air cooling and open evaporative towers toward direct-to-chip liquid cooling, immersion systems, closed-loop heat rejection, and reclaimed water, as GPU racks above 100 kW become the new normal for AI training.

According to Market Research Outlook’s latest research report, the “Global AI Data Center Water Consumption & Cooling Infrastructure Market“ is expected to grow from USD 8,450 million in 2025 to USD 31,600 million by 2032, at a CAGR of 20.7%, supported by record AI compute investment, rising rack densities, water reporting rules, corporate water positive pledges, and the rapid move from air to liquid cooling across hyperscale campuses.

Thermal management for AI is entering a new phase. Operators no longer see cooling as a set of air handlers on the roof. They now plan chips, racks, coolant loops, heat rejection, and water supply as one system, often before a site is even chosen.

What is changing is not only how much heat must be removed, but how it is done. Hyperscale cloud providers, AI model developers, colocation operators, and governments want cooling that handles dense GPU racks, cuts water use, keeps energy use in check, and satisfies local communities and regulators.

This shift is reinforced by AI campuses of 100 MW to 1 GW, liquid-cooled rack designs such as NVIDIA’s GB200 NVL72 drawing 120 kW per rack, tighter water permits in drought-prone regions, and public water positive targets set for 2030 by the largest cloud companies. As a result, cooling and water strategy has moved from a facilities topic to a board-level siting and capex decision.

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The growth of the market is closely linked to AI capacity additions. The International Energy Agency estimates that data centers used 415 TWh of electricity in 2024 and could reach 945 TWh by 2030, with AI the main driver, while data center water consumption is projected to more than double over the same period. Cooling majors such as Vertiv, Schneider Electric, Johnson Controls, Trane, and Carrier are scaling chillers and CDUs, while liquid cooling specialists including CoolIT Systems, LiquidStack, Submer, and Green Revolution Cooling are expanding direct-to-chip and immersion capacity.

At the same time, operators across the United States, Ireland, the Netherlands, the Nordics, Singapore, Japan, India, Saudi Arabia, and the UAE are redesigning cooling for AI halls, helped by EU water and energy reporting rules, local water permits that favour closed-loop systems, and growing use of reclaimed water, creating steady demand for liquid cooling, heat rejection, and water treatment systems across the sector.

Product development is focused on higher-performance cooling solutions, including CDUs rated at 1 MW and above per unit, cold plates for chips above 1,000 W, single-phase immersion tanks with non-PFAS fluids, dry coolers and hybrid adiabatic units that cut water use by 80%, and smart water treatment that raises cycles of concentration in cooling towers. As a result, demand is shifting toward integrated packages that combine thermal headroom, low water use, and lower energy, supporting higher value per megawatt.

Despite this strong momentum, the sector continues to face challenges. Water stress in Arizona, Texas, Spain, Chile, and parts of India, community opposition to water-hungry campuses, the energy penalty of waterless cooling, and complex retrofits of existing halls remain key concerns. Long lead times for CDUs, chillers, and cold plates add further complexity. However, closed-loop designs, reclaimed water contracts, and new cooling plant capacity from leading vendors are gradually easing these pressures.

Looking ahead, opportunities are emerging in closed-loop and zero-water cooling for new AI campuses, reclaimed and seawater cooling, waste heat recovery linked to district heating, and liquid cooling retrofits for AI inference halls. Closer collaboration between chip makers, server vendors, cooling suppliers, water utilities, and data center developers is also speeding up product standards and delivery, positioning the sector for sustained, value-led growth through 2032.

Major companies operating in Global AI Data Center Water Consumption & Cooling Infrastructure Market are:

• Vertiv Holdings Co.
• Schneider Electric SE (Motivair)
• Johnson Controls International plc
• Trane Technologies plc
• Carrier Global Corporation
• Daikin Industries Ltd.
• Munters Group AB
• nVent Electric plc
• CoolIT Systems Inc.
• LiquidStack Holding B.V.
• Submer Technologies SL
• Green Revolution Cooling Inc.
• Ecolab Inc. (Nalco Water)

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The global AI data center water consumption and cooling infrastructure market is entering a structural upcycle where liquid cooling know-how, delivery capacity, and the ability to cut water use without raising energy use will increasingly separate long-term leaders from the rest. As AI campuses grow toward the gigawatt scale and rack power keeps climbing, demand is shifting toward closed-loop, liquid-cooled, and water-efficient designs, noted a senior analyst at Market Research Outlook.

Global AI Data Center Water Consumption & Cooling Infrastructure Market, provides a detailed assessment of cooling systems and water use in AI data centers worldwide, covering market size, structure, and long-term growth dynamics. It includes comprehensive segmentation across cooling technologies, components, water sources, data center types, end-users, and regional markets, along with analysis of key trends, growth drivers, challenges, and emerging opportunities shaping thermal management for AI infrastructure.

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