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Global AI Data Center Liquid Cooling System Market Strategic Research Report

Global AI Data Center Liquid Cooling System Market Strategic…
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Market Research Reports
Strategic Research Report
Global AI Data Center Liquid Cooling System Market
$3.03B2025
27.5%CAGR
2032Forecast
Market Research Reports · Global
Market Research Reports Intelligence Series

By Type: Cold-Plate Liquid Cooling, Immersion Liquid Cooling, Spray Liquid Cooling

By Application: Small and Medium Data Center, Large Data Center, Hyperscale Data Center

Regional Forecast: Asia Pacific, Latin America, MEA, Europe, North America

Key Players: Vertiv, Stulz, Schneider Electric, Daikin Industries, Rittal, Envicool, Johnson Controls, Mitsubishi Electric, Trane, Carrier, Shenling, YMK, Huawei, Boyd, Canatal, iTeaq, Airsys, Hairf

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2032
Length: 133 pages
Market size 2025
$3.03B
Billion USD
Forecast CAGR
27.5%
2025-2032
Forecast 2032
$16.6B
Projected
Régions
5
Asia Pacific · Latin America · MEA · Europe · North America

Vue d'ensemble

Scope of the Report

The global AI Data Center Liquid Cooling System market size is predicted to grow from US$ 3,031 million in 2025 to US$ 18,235 million in 2032; it is expected to grow at a CAGR of 27.5% from 2026 to 2032.

An AI data center liquid cooling system is a thermal management technology that uses liquid—instead of traditional fans and air conditioning—to absorb and remove the intense heat generated by high-density artificial intelligence processors. It is highly efficient and operates via either ⁠Direct-to-Chip Liquid Cooling (using cold plates) or ⁠Immersion Cooling (submerging servers in a dielectric fluid).

In 2025, global An AI data center liquid cooling system sales volume reached 43 k units, with average price of 72 k US$ per unit.

Global key AI Data Center Liquid Cooling System players cover Vertiv, Stulz, Schneider Electric, Daikin Industries, Rittal, etc.

This report presents a comprehensive overview of the global AI Data Center Liquid Cooling System market, covering market size and forecast, segmentation by product type and application, competitive landscape, leading players and regional and country-level outlook.

Segment by Type

  • Cold-Plate Liquid Cooling
  • Immersion Liquid Cooling
  • Spray Liquid Cooling

Segment by EquipmentType

  • Precision Air Conditioner
  • Coolant Distribution Unit
  • Chiller Unit
  • Others

Segment by Application

  • Small and Medium Data Center
  • Large Data Center
  • Hyperscale Data Center

Who Can Use This Report?

This report is written for decision-makers who need a clear, data-backed view of the global AI Data Center Liquid Cooling System market:

  • Manufacturers, suppliers and solution providers benchmarking their position and planning product, capacity and go-to-market strategy
  • Distributors, channel partners and end users in Small and Medium Data Center, Large Data Center, Hyperscale Data Center evaluating demand and sourcing options
  • Investors, financial analysts and consultants assessing growth opportunities, competitive dynamics and M&A potential
  • Government agencies, industry associations and research institutions tracking industry developments and policy impact

Market snapshot

Global AI Data Center Liquid Cooling System Market Strategic Research Report snapshot, 2025–2032

Source: Market Research Reports
Market size CAGR 27.5%
Regional growth momentum
Market share by segment
Key metrics
Base value
$3.03B
2025
Forecast
$16.6B
2032
CAGR
27.5%
2025–2032
Régions
5
global
Key companies
VertivStulzSchneider ElectricDaikin IndustriesRittalEnvicoolJohnson ControlsMitsubishi Electric
© MarketResearchReports.comDisclaimer: The actual data may vary in the final report which undergoes verification check post order confirmation.

Segments covered in this report

By Type
Cold-Plate Liquid CoolingImmersion Liquid CoolingSpray Liquid Cooling
By Application
Small and Medium Data CenterLarge Data CenterHyperscale Data Center

Table of contents

Click a chapter to expand
01Executive Summary
02Industry Overview & Forecast
  • 2.1.1 Market Definition and Scope
  • 2.1.2 Market Size and Growth Forecast
  • 2.1.3 Volume Analysis
  • 2.1.4 Segment Outlook by Type
  • 2.1.5 Segment Outlook by Application
  • 2.1.6 Regional Outlook
  • 2.1.7 Structural Developments Shaping the Forecast
  • 2.1.8 Forecast Risks and Sensitivities
03Market Segmentation by Type
  • 3.1 Market Segmentation by Type
  • 3.1.1 Market by Type Overview
  • 3.1.2 Cold-Plate Liquid Cooling
  • 3.1.3 Immersion Liquid Cooling
  • 3.1.4 Spray Liquid Cooling
  • 3.1.5 Volume Analysis
04Market Segmentation by Application
  • 4.1 Market Segmentation by Application
  • 4.1.1 Market by Application Overview
  • 4.1.2 Small and Medium Data Center
  • 4.1.3 Large Data Center
  • 4.1.4 Hyperscale Data Center
  • 4.1.5 Volume Analysis
05Regional Market Forecast
  • Asia Pacific
  • North America
  • Europe
  • Middle East & Africa
  • Latin America
06Country-Level Market Forecast
  • 6.1 Asia Pacific
  • 6.1.1 China
  • 6.1.2 Japan
  • 6.1.3 Korea
  • 6.1.4 Southeast Asia
  • 6.1.5 India
  • 6.1.6 Australia
  • 6.1.7 Rest of Asia Pacific
  • 6.2 North America
  • 6.2.1 United States
  • 6.2.2 Canada
  • 6.2.3 Mexico
  • 6.2.4 Rest of North America
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 France
  • 6.3.3 UK
  • 6.3.4 Italy
  • 6.3.5 Russia
  • 6.3.6 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Egypt
  • 6.4.2 South Africa
  • 6.4.3 Israel
  • 6.4.4 Turkey
  • 6.4.5 GCC Countries
  • 6.4.6 Rest of Middle East & Africa
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Rest of Latin America
07Growth Drivers & Inhibitors
  • 7.1 Growth Drivers & Inhibitors
  • 7.1.1 Section Overview
  • 7.1.2 Growth Drivers
  • 7.1.3 Growth Inhibitors
  • 7.1.4 Driver and Inhibitor Impact Assessment
  • 7.1.5 Analyst Perspective
08Key Company Profiles
  • 8.1 Vertiv
  • 8.1.1 Company Overview
  • 8.1.2 Key Products & Segments
  • 8.1.3 Financial Performance (2023–2025)
  • 8.1.4 Business Strategy
  • 8.1.5 SWOT Analysis
  • 8.1.6 Strategic Implications (2026–2032)
  • 8.2 Stulz
  • 8.2.1 Company Overview
  • 8.2.2 Key Products & Segments
  • 8.2.3 Financial Performance (2023–2025)
  • 8.2.4 Business Strategy
  • 8.2.5 SWOT Analysis
  • 8.2.6 Strategic Implications (2026–2032)
  • 8.3 Schneider Electric
  • 8.3.1 Company Overview
  • 8.3.2 Key Products & Segments
  • 8.3.3 Financial Performance (2023–2025)
  • 8.3.4 Business Strategy
  • 8.3.5 SWOT Analysis
  • 8.3.6 Strategic Implications (2026–2032)
  • 8.4 Daikin Industries
  • 8.4.1 Company Overview
  • 8.4.2 Key Products & Segments
  • 8.4.3 Financial Performance (2023–2025)
  • 8.4.4 Business Strategy
  • 8.4.5 SWOT Analysis
  • 8.4.6 Strategic Implications (2026–2032)
  • 8.5 Rittal
  • 8.5.1 Company Overview
  • 8.5.2 Key Products & Segments
  • 8.5.3 Financial Performance (2023–2025)
  • 8.5.4 Business Strategy
  • 8.5.5 SWOT Analysis
  • 8.5.6 Strategic Implications (2026–2032)
  • 8.6 Envicool
  • 8.6.1 Company Overview
  • 8.6.2 Key Products & Segments
  • 8.6.3 Financial Performance (2023–2025)
  • 8.6.4 Business Strategy
  • 8.6.5 SWOT Analysis
  • 8.6.6 Strategic Implications (2026–2032)
  • 8.7 Johnson Controls
  • 8.7.1 Company Overview
  • 8.7.2 Key Products & Segments
  • 8.7.3 Financial Performance (2023–2025)
  • 8.7.4 Business Strategy
  • 8.7.5 SWOT Analysis
  • 8.7.6 Strategic Implications (2026–2032)
  • 8.8 Mitsubishi Electric
  • 8.8.1 Company Overview
  • 8.8.2 Key Products & Segments
  • 8.8.3 Financial Performance (2023–2025)
  • 8.8.4 Business Strategy
  • 8.8.5 SWOT Analysis
  • 8.8.6 Strategic Implications (2026–2032)
  • 8.9 Trane
  • 8.9.1 Company Overview
  • 8.9.2 Key Products & Segments
  • 8.9.3 Financial Performance (2023–2025)
  • 8.9.4 Business Strategy
  • 8.9.5 SWOT Analysis
  • 8.9.6 Strategic Implications (2026–2032)
  • 8.10 Carrier
  • 8.10.1 Company Overview
  • 8.10.2 Key Products & Segments
  • 8.10.3 Financial Performance (2023–2025)
  • 8.10.4 Business Strategy
  • 8.10.5 SWOT Analysis
  • 8.10.6 Strategic Implications (2026–2032)
  • 8.11 Shenling
  • 8.11.1 Company Overview
  • 8.11.2 Key Products & Segments
  • 8.11.3 Financial Performance (2023–2025)
  • 8.11.4 Business Strategy
  • 8.11.5 SWOT Analysis
  • 8.11.6 Strategic Implications (2026–2032)
  • 8.12 YMK
  • 8.12.1 Company Overview
  • 8.12.2 Key Products & Segments
  • 8.12.3 Financial Performance (2023–2025)
  • 8.12.4 Business Strategy
  • 8.12.5 SWOT Analysis
  • 8.12.6 Strategic Implications (2026–2032)
  • 8.13 Huawei
  • 8.13.1 Company Overview
  • 8.13.2 Key Products & Segments
  • 8.13.3 Financial Performance (2023–2025)
  • 8.13.4 Business Strategy
  • 8.13.5 SWOT Analysis
  • 8.13.6 Strategic Implications (2026–2032)
  • 8.14 Boyd
  • 8.14.1 Company Overview
  • 8.14.2 Key Products & Segments
  • 8.14.3 Financial Performance (2023–2025)
  • 8.14.4 Business Strategy
  • 8.14.5 SWOT Analysis
  • 8.14.6 Strategic Implications (2026–2032)
  • 8.15 Canatal
  • 8.15.1 Company Overview
  • 8.15.2 Key Products & Segments
  • 8.15.3 Financial Performance (2023–2025)
  • 8.15.4 Business Strategy
  • 8.15.5 SWOT Analysis
  • 8.15.6 Strategic Implications (2026–2032)
  • 8.16 iTeaq
  • 8.16.1 Company Overview
  • 8.16.2 Key Products & Segments
  • 8.16.3 Financial Performance (2023–2025)
  • 8.16.4 Business Strategy
  • 8.16.5 SWOT Analysis
  • 8.16.6 Strategic Implications (2026–2032)
  • 8.17 Airsys
  • 8.17.1 Company Overview
  • 8.17.2 Key Products & Segments
  • 8.17.3 Financial Performance (2023–2025)
  • 8.17.4 Business Strategy
  • 8.17.5 SWOT Analysis
  • 8.17.6 Strategic Implications (2026–2032)
  • 8.18 Hairf
  • 8.18.1 Company Overview
  • 8.18.2 Key Products & Segments
  • 8.18.3 Financial Performance (2023–2025)
  • 8.18.4 Business Strategy
  • 8.18.5 SWOT Analysis
  • 8.18.6 Strategic Implications (2026–2032)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
  • 9.4.1 Emerging Competitive Threats
  • 9.4.2 Consolidation vs. Fragmentation Outlook
  • 9.4.3 Competitive Response Matrix
  • 9.4.4 Strategic Recommendations, 2026–2032
10Porter's Five Forces Analysis
  • 10.1 Threat of New Entrants
  • 10.2 Bargaining Power of Buyers
  • 10.3 Bargaining Power of Suppliers
  • 10.4 Threat of Substitutes
  • 10.5 Competitive Rivalry
11PESTLE Analysis
  • 11.1 Political
  • 11.2 Economic
  • 11.3 Social and Demographic
  • 11.4 Technological
  • 11.5 Legal and Regulatory
  • 11.6 Environmental
  • 11.7 Strategic Implications of the PESTLE Assessment
12SWOT Analysis
13Future Trends & Outlook
  • 13.1 Future Trends & Outlook
  • 13.1.1 Trend Summary and Commercial Maturity Assessment
  • 13.1.2 Technology and Innovation Trends
  • 13.1.3 Long-Term Market Outlook
  • 13.1.4 Investment & M&A Activity Outlook
  • 13.1.5 Overall Outlook Assessment

Frequently asked questions

What is the current global AI Data Center Liquid Cooling System market size?
The global AI Data Center Liquid Cooling System market is estimated at US$ 3.03 billion in 2025 (base year) and is projected to reach US$ 18.23 billion by 2032.
What growth rate is expected for the AI Data Center Liquid Cooling System market through 2032?
The market is expected to grow at a CAGR of 27.5% from 2026 to 2032, expanding from US$ 3.03 billion in 2025 to US$ 18.23 billion in 2032, roughly 6.0 times its base-year value.
How is AI Data Center Liquid Cooling System defined?
An AI data center liquid cooling system is a thermal management technology that uses liquid—instead of traditional fans and air conditioning—to absorb and remove the intense heat generated by high-density artificial intelligence processors. It is highly efficient and operates via either ⁠Direct-to-Chip Liquid Cooling (using cold plates) or ⁠Immersion Cooling (submerging servers in a dielectric fluid).
How is the AI Data Center Liquid Cooling System market segmented by type?
By type, the market is segmented into Cold-Plate Liquid Cooling, Immersion Liquid Cooling and Spray Liquid Cooling.
What are the key applications of AI Data Center Liquid Cooling System?
Key applications covered include Small and Medium Data Center, Large Data Center and Hyperscale Data Center.
Which companies are profiled in the AI Data Center Liquid Cooling System market report?
Key players profiled include Vertiv, Stulz, Schneider Electric, Daikin Industries, Rittal, Envicool, Johnson Controls and Mitsubishi Electric, among 18 companies covered in total.
What geographies does the AI Data Center Liquid Cooling System market analysis include?
The market is analysed across Asia Pacific, North America, Europe, Middle East & Africa and Latin America, with 20 country-level markets including China, Japan, United States, Canada, Germany, France, Egypt and South Africa.
Who should buy the AI Data Center Liquid Cooling System market report?
The report is intended for manufacturers and solution providers, distributors and end users in Small and Medium Data Center, Large Data Center and Hyperscale Data Center, investors and consultants, and government or industry bodies who need market size, segmentation, competitive and regional data for the AI Data Center Liquid Cooling System market.
What license options are available for this report?
The report is available as a Single User License (US$ 3,500, one named user), a Site License (US$ 5,250, up to 10 users) and a Global / Corporate License (US$ 7,000, unlimited users), all delivered in PDF format.

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Competitive Intelligence

Company profiles built from public financial disclosures, product launches, M&A activity, job postings (as capability proxies), and supply chain mapping. Market share estimates triangulated across revenue, capacity, and shipment data.

04
Demand Forecasting

CAGR projections use time-series regression on 5-10 years of historical data, adjusted for identified demand drivers (technology adoption curves, regulatory catalysts, demographic shifts) and demand inhibitors (cost barriers, substitution risk). Scenario modeling covers base, optimistic, and conservative cases.

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