PUBLISHER: MarketsandMarkets | PRODUCT CODE: 2171596
PUBLISHER: MarketsandMarkets | PRODUCT CODE: 2171596
The global AI data center liquid cooling market is projected to grow from USD 3.52 billion in 2026 to USD 20.39 billion in 2032, at a CAGR of 34.0% during the forecast period. AI data center liquid cooling encompasses specialized technologies that use liquid-based heat transfer to maintain suitable operating conditions for AI-focused computing infrastructure. The approach is particularly relevant to data centers handling demanding workloads, where conventional cooling methods may face increasing thermal management requirements.
| Scope of the Report | |
|---|---|
| Years Considered for the Study | 2022-2032 |
| Base Year | 2025 |
| Forecast Period | 2026-2032 |
| Units Considered | Value (USD Million/Billion) |
| Segments | By Cooling Type, Rack Density, Component, Data Center Type, and Region |
| Regions covered | North America, Asia Pacific, Europe, and Rest of the World |
Adoption is expected to increase alongside the expansion of AI servers, high-performance processors, and dense rack configurations, as operators seek effective and scalable approaches to heat dissipation. Growing investments in modern data center infrastructure and the deployment of AI capabilities across different facility types will also contribute to market development.

"By cooling type, the immersion segment is expected to account for the second-largest share during the forecast period in terms of value."
By cooling type, the immersion segment is expected to account for the second-largest share of the market in terms of value during the forecast period. The segment is supported by the growing need for effective thermal management in high-density AI computing environments, where increasing processing requirements generate substantial heat. Immersion cooling offers an alternative approach for managing thermal loads and supporting the operation of advanced computing infrastructure. Its adoption is expected to increase as data center operators seek scalable and efficient cooling solutions for evolving AI workloads.
"By data center type, the colocation segment is expected to account for the second-largest market share during the forecast period."
By data center type, the colocation segment is expected to account for the second-largest market share during the forecast period. The segment is supported by increasing demand for flexible and scalable data center infrastructure among organizations deploying AI and high-performance computing applications. As colocation facilities accommodate diverse workloads and increasingly dense computing environments, the need for effective thermal management solutions is growing. The expansion of third-party data center services and continued adoption of AI infrastructure are expected to support the use of liquid cooling solutions within colocation facilities.
"Asia Pacific is expected to account for the second-largest market share during the forecast period."
Asia Pacific is expected to account for the second-largest market share during the forecast period, supported by the expansion of data center infrastructure and increasing adoption of AI and high-performance computing across the region. Growing digitalization, rising demand for computing capacity, and the development of high-density data center facilities are contributing to the need for advanced thermal management solutions. Increasing investments in data center expansion and the adoption of liquid cooling technologies are expected to further support market development across the region.
Vertiv Group Corp. (US), Schneider Electric (France), Super Micro Computer, Inc. (US), DCX Liquid Cooling Systems (Poland), and CoolIT Systems (Ecolab) (Canada) are some of the major players operating in the AI data center liquid cooling market.
The report segments the AI data center liquid cooling market based on cooling type, data center type, and region. It provides detailed information regarding the major factors influencing the market's growth, such as drivers, restraints, opportunities, and challenges. It strategically profiles AI data center liquid cooling manufacturers, comprehensively analyzing their market shares and core competencies.
The report is expected to help market leaders/new entrants by providing them with the closest approximations of revenue numbers for the AI data center liquid cooling market and its segments. This report is also expected to help stakeholders obtain an improved understanding of the market's competitive landscape, gain insights to improve the position of their businesses, and develop suitable go-to-market strategies. It also enables stakeholders to understand the market's pulse and provides information on key market drivers, restraints, challenges, and opportunities.