Data Center Cooling Market Size And Forecast (2020 - 2033), Global And Regional Growth, Trend, Share And Industry Analysis Report Coverage: By Component (Solution, Services), By Solution (Air Conditioners, Precision Air Conditioners, Chillers, Air Handling Units, Others), By Service (Installation & Deployment, Support & Consulting, Maintenance Services), By Cooling Technique (Room-Based Cooling, Rack-Based Cooling, Row-Based Cooling), By End-Use Industry (BFSI, IT And Telecom, Manufacturing, Retail, Healthcare, Energy And Utilities, Others) And Geography
2025-10-03
ICT
Description
Data Center Cooling Market Overview
The global data center cooling market is witnessing rapid expansion, fueled by rising demand for energy-efficient cooling systems, the swift growth of hyperscale facilities, and the increasing adoption of cloud computing, artificial intelligence (AI), and IoT-based applications. The market is valued at approximately USD 15.8 billion in 2025 and is projected to reach USD 44.6 billion by 2033, reflecting a strong CAGR of 14.3% over the forecast period.
As data centers handle ever-larger volumes of processing, excessive heat generation has become a critical challenge, making advanced cooling technologies essential to maintain performance, extend hardware lifespan, and reduce energy consumption. Market growth is being supported by the growing adoption of innovative solutions such as liquid cooling, immersion cooling, and free cooling techniques. Rising power density in data centers and the need for energy-optimized infrastructure remain key factors propelling industry demand. Moreover, as enterprises and governments focus on developing sustainable data centers and achieving carbon neutrality, the push for eco-friendly cooling solutions is accelerating.
Data Center Cooling
Market Drivers and Opportunities
Rising Demand for
Energy-Efficient Cooling Solutions Is Anticipated to Lift the Data Center
Cooling Market During the Forecast Period
The growing energy consumption by data centers is
triggering demand for energy-efficient cooling solutions. With accelerated
growth in cloud computing, artificial intelligence (AI), and big data
analytics, data centers are processing more workload, generating more heat, and
thereby creating higher cooling loads. Previous cooling solutions, including
air conditioning and traditional air-based cooling, are no longer adequate to
address higher power densities effectively. Consequently, organizations are undergoing
a transition towards innovative cooling technologies like liquid cooling,
immersion cooling, and AI-optimized cooling to improve energy efficiency and
sustainability. Energy efficiency has become a prime concern among data centers,
with cooling subsystems consuming a high percentage of overall energy
consumption. The government and regulators globally are mandating robust energy
efficiency regulations, including the EU Energy Efficiency Directive and U.S.
Environmental Protection Agency (EPA) guidelines, compelling data centers to
adopt low-energy, high-efficiency cooling solutions. Furthermore, usage of
renewable energy-based cooling and free cooling technologies, leveraging
natural air or water supplies to cut energy consumption, is also propelling
growth in the market.
Expansion of Hyperscale
and Edge Data Centers Is a Vital Driver for Influencing the Growth of the
Global Data Center Cooling Market
The growth of hyperscale and edge
data centers is a prime growth driver for the data center cooling industry.
With greater adoption of cloud computing, artificial intelligence (AI), the
Internet of Things (IoT), and big data analytics, there is an increased need
for high-performance data centers with high processing capacities to manage
large volumes of data decisively. Hyperscale data centers owned by large cloud
service providers and technology giants call for sophisticated cooling
solutions to deal with high temperature loads generated by large-scale
computing processes. As more businesses shift to cloud services, more
hyperscale facilities are coming up, thus promoting demand for efficient
cooling technologies still further. Simultaneously, edge computing
transformation is reorienting data center dynamics. Instead of centralized
large data centers, edge data centers are positioned to process data near
end-users, cutting down latency and enhancing real-time processing of data in
applications like 5G networks, self-driving vehicles, and intelligent cities.
The small, decentralized data centers used in these contexts are usually
space-restricted, with compelling needs for high-efficiency cooling solutions
with reduced requirements of space and handling diverse climatic conditions.
Liquid cooling, direct-to-chip cooling, and modular cooling solutions are
gaining momentum as edge data centers are increasingly adopted. With digital
transformation gaining momentum worldwide, growth in hyperscale and edge data
centers is promoting growth in innovative, eco-friendly, and high-performance
cooling solutions.
Integration of AI and Automation in Cooling Systems Is Poised
to Create Significant Opportunities in The Global Data Center Cooling Market
The convergence of artificial
intelligence (AI) and automation in cooling systems is revolutionizing the data
center cooling industry, facilitating efficiency, sustainability, and cost
optimization. As data centers continue to become more complex, conventional
cooling solutions are becoming ineffective and energy wasteful, leading data
center operators to adopt intelligent, automated cooling solutions. AI-based
cooling systems leverage machine learning algorithms, real-time data analytics,
and predictive maintenance to maximize cooling performance, lower energy
consumption, and enhance Power Usage Effectiveness (PUE). Through real-time
monitoring of temperature, humidity, airflow, and equipment performance,
AI-based systems can dynamically change cooling operations to match a data
center’s evolving requirements, maximizing efficiency. One of AI-based
cooling’s defining features is its ability to detect and prevent temperature
inefficiency ahead of its occurrence. Automated cooling management solutions
can sense heat buildup, detect airflow deviations, and adjust fan speeds and
cooling fluid distribution in real-time, keeping energy waste and operating
expenses to a minimum. Google and Microsoft are among the major corporations to
adopt AI-powered cooling solutions, reducing their data centers’ energy usage
by as much as 40% on cooling alone.
Data Center Cooling Market Scope
Report Attributes |
Description |
Market Size in 2025 |
USD 15.8 Billion |
Market Forecast in 2033 |
USD 44.6 Billion |
CAGR % 2025-2033 |
14.3% |
Base Year |
2024 |
Historic Data |
2020-2024 |
Forecast Period |
2025-2033 |
Report USP |
Production, Consumption, company share, company heatmap, company
production capacity, growth factors and more |
Segments Covered |
●
By Component ●
By Solution ●
By Services ●
By Cooling Technique ●
By End-use Industry |
Regional Scope |
●
North America, ●
Europe, ●
APAC, ●
Latin America ●
Middle East and Africa |
Country Scope |
1)
U.S. 2)
Canada 3)
Germany 4)
UK 5)
France 6)
Spain 7)
Italy 8)
Switzerland 9)
China 10)
Japan 11)
India 12)
Australia 13)
South Korea 14)
Brazil 15)
Mexico 16)
Argentina 17)
South Africa 18)
Saudi Arabia 19) UAE |
Data Center Cooling Market Report Segmentation Analysis
The Global Data Center Cooling
Market Industry Analysis Is Segmented by Component, by Solution, by Service, by
Cooling Technique, by End-Use Industry, And by Region.
The solution segment is anticipated to hold the highest share
of the global Data Center Cooling Market during the projected timeframe.
Based on component, the global data center cooling market is segmented into Solution and Services. Among these, the Solution segment dominates the market with 63.2% of market share. The rising use of cutting-edge cooling technologies like liquid cooling, immersion cooling, and AI-driven thermal management systems is driving the market growth. The demand for effective and dependable cooling systems has increased as data centers develop to handle the increasing demands from big data analytics, cloud computing, and artificial intelligence. Businesses are making significant investments in energy-efficient cooling systems in order to lower operating expenses, improve server performance, and adhere to sustainability standards.
The Air Conditioners Segment Is Anticipated to Hold the
Highest Share of the Market Over the Forecast Period.
On the basis of solution, the
global data center cooling market is segmented into Air Conditioners, Precision
Air Conditioners, Chillers, Air Handling Units, and Others. In 2025, Air Conditioners dominate the market,
driven by their widespread adoption, cost-effectiveness, and ability to
efficiently manage heat loads in data centers. Traditional air conditioning
(CRAC) and air handling (CRAH) solutions are still a popular option with small,
medium, and large data centers, to provide balanced temperature and air flow
management. Increased building of hyperscale and colocation data centers, as
well as growth in edge computing centers, has also raised the demand for
high-performance air conditioning solutions.
The Installation & Deployment Dominated the Market in
2025 And Is Predicted to Grow at The Highest CAGR Over the Forecast Period.
On the basis of service, the
global data center cooling market is segmented into Installation &
Deployment, Support & Consulting, and Maintenance Services. The
Installation & Deployment leads the market with growth fueled by new data
center builds, hyperscale data center expansions, and greater adoption of
innovative cooling solutions. With more business moving to cloud services,
AI-intensive workloads, and edge computing, there has been greater demand for
energy-efficient cooling infrastructure, with more investments going into
proper installation and deployment of cooling solutions. Businesses need
skilled deployment services to run their cooling infrastructure at maximum
performance, with less energy consumption and fewer operational risks.
The Room-Based Cooling Segment Is Predicted to Grow at The
Highest CAGR Over the Forecast Period.
On the basis of cooling
technique, the global data center cooling market is segmented into Room-Based
Cooling, Rack-Based Cooling, and Row-Based Cooling. The Room-Based Cooling
accounts for the highest share of the market, as it is cost-saving, scalable,
and highly suitable in conventional data centers. It entails cooling the server
room as a whole by utilizing Computer Room Air Conditioning (CRAC) and Computer
Room Air Handling (CRAH) units, maintaining uniform temperature control and
heat transfer throughout the facility. As a result of its performance in
cooling large data centers efficiently, room-based cooling continues to be the
choice of preference among businesses, colocation centers, and hyperscale data
centers.
The following segments are part
of an in-depth analysis of the global data center cooling market:
Market Segments |
|
By Component |
●
Solution ●
Services |
By Solution |
●
Air Conditioners ●
Precision Air
Conditioners ●
Chillers ●
Air Handling Units ●
Others |
By Services |
●
Installation &
Deployment ●
Support &
Consulting ●
Maintenance Services |
By Cooling Technique |
●
Room-based Cooling ●
Rack-based Cooling ●
Row-based Cooling |
By End-use Industry |
●
BFSI ●
IT and Telecom ●
Manufacturing ●
Retail ●
Healthcare ●
Energy and Utilities ●
Others |
Data Center Cooling
Market Share Analysis by Region
North America Is
Projected to Hold the Largest Share of the Global Data Center Cooling Market
Over the Forecast Period.
In 2025, North America leads with
a 32.6% stake in the overall data center cooling market. The region's high
concentration of hyperscale data centers, adoption of cloud computing, and
major technology players are fueled with growth. The region houses major cloud
service providers, colocation data centers, and IT players including Google,
Microsoft, Amazon Web Services (AWS), and Meta, expanding data center
infrastructure relentlessly. With increased adoption of artificial intelligence
(AI), 5G technology, and edge computing, demand has grown for scalable and
efficient cooling solutions. Meanwhile, increased adoption of green data
centers has inclined companies to invest in energy-saving cooling methods,
including liquid cooling, free cooling, and AI-based thermal management
solutions, to cut down energy consumption and carbon footprints. The major
driver of North America's leadership role lies in its stringent regulation and
sustainability initiatives to enhance energy efficiency in data centers.
Organizations are increasingly deploying high-performance cooling solutions to
improve power usage effectiveness (PUE) and minimize operational costs. The
growth of hyperscale data center expansion projects and government investments
in data center infrastructure are also contributing towards increased growth in
the data center cooling market accordingly. With robust innovation and
sustainability initiatives, North America will continue to lead the data center
cooling market in the coming years.
At the same time, the
Asia-Pacific (APAC) region is anticipated to experience the highest CAGR over
the forecasting period. The accelerated growth in data center investments in
China, India, Japan, and Southeast Asia, as well as the development of 5G networks
and mounting adoption of clouds, are driving demand for leading-edge cooling
solutions. As APAC continues to become a major digital hub, it will lead to
strong growth in data center cooling demand.
Data Center Cooling
Market Competition Landscape Analysis
Some of the major players in the
data center cooling market are Vertiv Group Corp. and Schneider Electric,
Fujitsu, Mitsubishi Electric Corporation, and Asetek, Inc. The players are more
inclined towards different growth opportunities such as new product launches,
collaborations & partnerships, and agreements to gain an upper hand over
their competitors.
Global Data Center
Cooling Market Recent Developments News:
●
In March 2025, Vertiv
Group Corp. joined with Tecogen Inc., an American clean energy firm with
expertise in ultra-efficient, clean on-site power, heating, and cooling
solutions. The union enables Vertiv to add Tecogen's innovatively advanced
natural gas-powered chilling solutions to Vertiv's data center solutions
worldwide. The new solution will address power constraints and enable
large-scale adoption of AI technologies. The new addition increases Vertiv's
already comprehensive line of industry-leading cooling solutions.
●
In December 2024,
Schneider Electric launched new AI-ready data center solutions to address the
energy and sustainability requirements of AI networks. With NVIDIA, Schneider
Electric revealed a liquid-cooled AI cluster reference design with 132 kW
capacity per rack. The Galaxy VXL line of compact uninterruptible power supply
(UPS) with 52% space reduction and high power density, also specifically
designed for AI and data centers, provides high-efficiency power in less space.
The Global Data Center
Cooling Market Is Dominated by A Few Large Companies, Such As
●
Asetek, Inc.
●
Climaveneta Climate
Technologies PVT. LTD.
●
Coolcentric
●
Dell Inc.
●
Fujitsu
●
Hitachi, Ltd.
●
Johnson Controls
●
Mitsubishi Electric
Corporation
●
Nortek Air Solutions,
LLC
●
NTT Ltd.
●
Rittal GmBH & Co.
KG
●
Schneider Electric
●
STULZ GMBH
●
Vertiv Group Corp.
● Others
Frequently Asked Questions
- Global Data Center Cooling Market Introduction and Market Overview
- Objectives of the Study
- Global Data Center Cooling Market Scope and Market Estimation
- Global Data Center Cooling Overall Market Size (US$ Bn), Market CAGR (%), Market forecast (2025 - 2033)
- Global Data Center Cooling Market Revenue Share (%) and Growth Rate (Y-o-Y) from 2020 - 2033
- Market Segmentation
- Component of Global Data Center Cooling Market
- Solution of Global Data Center Cooling Market
- Service of Global Data Center Cooling Market
- Cooling Technique of Global Data Center Cooling Market
- End-use Industry of Global Data Center Cooling Market
- Region of Global Data Center Cooling Market
- Executive Summary
- Demand Side Trends
- Key Market Trends
- Market Demand (US$ Bn) Analysis 2020 – 2024 and Forecast, 2025 – 2033
- Demand and Opportunity Assessment
- Demand Supply Scenario
- Market Dynamics
- Drivers
- Limitations
- Opportunities
- Impact Analysis of Drivers and Restraints
- Pricing Trends Analysis
- Overview of Technology Developments
- Porter’s Five Forces Analysis
- Bargaining Power of Suppliers
- Bargaining Power of Buyers
- Threat of Substitutes
- Threat of New Entrants
- Competitive Rivalry
- PEST Analysis
- Political Factors
- Economic Factors
- Social Factors
- Technology Factors
- Value Chain / Ecosystem Analysis
- Key Regulation
- Global Data Center Cooling Market Estimates & Historical Trend Analysis (2020 - 2024)
- Global Data Center Cooling Market Estimates & Forecast Trend Analysis, by Component
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Component, 2020 - 2033
- Solution
- Services
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Component, 2020 - 2033
- Global Data Center Cooling Market Estimates & Forecast Trend Analysis, by Solution
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Solution, 2020 - 2033
- Air Conditioners
- Precision Air Conditioners
- Chillers
- Air Handling Units
- Others
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Solution, 2020 - 2033
- Global Data Center Cooling Market Estimates & Forecast Trend Analysis, by Service
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Service, 2020 - 2033
- Installation & Deployment
- Support & Consulting
- Maintenance Services
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Service, 2020 - 2033
- Global Data Center Cooling Market Estimates & Forecast Trend Analysis, by Cooling Technique
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Cooling Technique, 2020 - 2033
- Room-based Cooling
- Rack-based Cooling
- Row-based Cooling
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Cooling Technique, 2020 - 2033
- Global Data Center Cooling Market Estimates & Forecast Trend Analysis, by End-use Industry
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by End-use Industry, 2020 - 2033
- BFSI
- IT and Telecom
- Manufacturing
- Retail
- Healthcare
- Energy and Utilities
- Others
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by End-use Industry, 2020 - 2033
- Global Data Center Cooling Market Estimates & Forecast Trend Analysis, by Region
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Region, 2020 - 2033
- North America
- Europe
- Asia Pacific
- Middle East & Africa
- Latin America
- Global Data Center Cooling Market Revenue (US$ Bn) Estimates and Forecasts, by Region, 2020 - 2033
- North America Data Center Cooling Market: Estimates & Forecast Trend Analysis
- North America Data Center Cooling Market Assessments & Key Findings
- North America Data Center Cooling Market Introduction
- North America Data Center Cooling Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)
- By Component
- By Solution
- By Service
- By Cooling Technique
- By End-use Industry
- By Country
- The U.S.
- Canada
- North America Data Center Cooling Market Assessments & Key Findings
- Europe Data Center Cooling Market: Estimates & Forecast Trend Analysis
- Europe Data Center Cooling Market Assessments & Key Findings
- Europe Data Center Cooling Market Introduction
- Europe Data Center Cooling Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)
- By Component
- By Solution
- By Service
- By Cooling Technique
- By End-use Industry
- By Country
- Germany
- Italy
- K.
- France
- Spain
- Rest of Europe
- Europe Data Center Cooling Market Assessments & Key Findings
- Asia Pacific Data Center Cooling Market: Estimates & Forecast Trend Analysis
- Asia Pacific Market Assessments & Key Findings
- Asia Pacific Data Center Cooling Market Introduction
- Asia Pacific Data Center Cooling Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)
- By Component
- By Solution
- By Service
- By Cooling Technique
- By End-use Industry
- By Country
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia Pacific
- Asia Pacific Market Assessments & Key Findings
- Middle East & Africa Data Center Cooling Market: Estimates & Forecast Trend Analysis
- Middle East & Africa Market Assessments & Key Findings
- Middle East & Africa Data Center Cooling Market Introduction
- Middle East & Africa Data Center Cooling Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)
- By Component
- By Solution
- By Service
- By Cooling Technique
- By End-use Industry
- By Country
- UAE
- Saudi Arabia
- South Africa
- Rest of MEA
- Middle East & Africa Market Assessments & Key Findings
- Latin America Data Center Cooling Market: Estimates & Forecast Trend Analysis
- Latin America Market Assessments & Key Findings
- Latin America Data Center Cooling Market Introduction
- Latin America Data Center Cooling Market Size Estimates and Forecast (US$ Billion) (2020 - 2033)
- By Component
- By Solution
- By Service
- By Cooling Technique
- By End-use Industry
- By Country
- Brazil
- Argentina
- Mexico
- Rest of LATAM
- Latin America Market Assessments & Key Findings
- Country Wise Market: Introduction
- Competition Landscape
- Global Data Center Cooling Market Product Mapping
- Global Data Center Cooling Market Concentration Analysis, by Leading Players / Innovators / Emerging Players / New Entrants
- Global Data Center Cooling Market Tier Structure Analysis
- Global Data Center Cooling Market Concentration & Company Market Shares (%) Analysis, 2024
- Company Profiles
- Asetek, Inc.
- Company Overview & Key Stats
- Financial Performance & KPIs
- Product Portfolio
- SWOT Analysis
- Business Strategy & Recent Developments
- Asetek, Inc.
* Similar details would be provided for all the players mentioned below
- Climaveneta Climate Technologies PVT. LTD.
- Coolcentric
- Dell Inc.
- Fujitsu
- Hitachi, Ltd.
- Johnson Controls
- Mitsubishi Electric Corporation
- Nortek Air Solutions, LLC
- NTT Ltd.
- Rittal GmBH & Co. KG
- Schneider Electric
- STULZ GMBH
- Vertiv Group Corp.
- Others
- Research Methodology
- External Transportations / Databases
- Internal Proprietary Database
- Primary Research
- Secondary Research
- Assumptions
- Limitations
- Report FAQs
- Research Findings & Conclusion
Our Research Methodology
"Insight without rigor is just noise."
We follow a comprehensive, multi-phase research framework designed to deliver accurate, strategic, and decision-ready intelligence. Our process integrates primary and secondary research , both quantitative and qualitative , along with dual modeling techniques ( top-down and bottom-up) and a final layer of validation through our proprietary in-house repository.
PRIMARY RESEARCH
Primary research captures real-time, firsthand insights from the market to understand behaviors, motivations, and emerging trends.
1. Quantitative Primary Research
Objective: Generate statistically significant data directly from market participants.
Approaches:- Structured surveys with customers, distributors, and field agents
- Mobile-based data collection for point-of-sale audits and usage behavior
- Phone-based interviews (CATI) for market sizing and product feedback
- Online polling around industry events and digital campaigns
- Purchase frequency by customer type
- Channel performance across geographies
- Feature demand by application or demographic
2. Qualitative Primary Research
Objective: Explore decision-making drivers, pain points, and market readiness.
Approaches:- In-depth interviews (IDIs) with executives, product managers, and key decision-makers
- Focus groups among end users and early adopters
- Site visits and observational research for consumer products
- Informal field-level discussions for regional and cultural nuances
SECONDARY RESEARCH
This phase helps establish a macro-to-micro understanding of market trends, size, regulation, and competitive dynamics, sourced from credible and public domain information.
1. Quantitative Secondary Research
Objective: Model market value and segment-level forecasts based on published data.
Sources include:- Financial reports and investor summaries
- Government trade data, customs records, and regulatory statistics
- Industry association publications and economic databases
- Channel performance and pricing data from marketplace listings
- Revenue splits, pricing trends, and CAGR estimates
- Supply-side capacity and volume tracking
- Investment analysis and funding benchmarks
2. Qualitative Secondary Research
Objective: Capture strategic direction, innovation signals, and behavioral trends.
Sources include:- Company announcements, roadmaps, and product pipelines
- Publicly available whitepapers, conference abstracts, and academic research
- Regulatory body publications and policy briefs
- Social and media sentiment scanning for early-stage shifts
- Strategic shifts in market positioning
- Unmet needs and white spaces
- Regulatory triggers and compliance impact

DUAL MODELING: TOP-DOWN + BOTTOM-UP
To ensure robust market estimation, we apply two complementary sizing approaches:
Top-Down Modeling:- Start with broader industry value (e.g., global or regional TAM)
- Apply filters by segment, geography, end-user, or use case
- Adjust with primary insights and validation benchmarks
- Ideal for investor-grade market scans and opportunity mapping
- Aggregate from the ground up using sales volumes, pricing, and unit economics
- Use internal modeling templates aligned with stakeholder data
- Incorporate distributor-level or region-specific inputs
- Most accurate for emerging segments and granular sub-markets
DATA VALIDATION: IN-HOUSE REPOSITORY
We close the loop with proprietary data intelligence built from ongoing projects, industry monitoring, and historical benchmarking. This repository includes:
- Multi-sector market and pricing models
- Key trendlines from past interviews and forecasts
- Benchmarked adoption rates, churn patterns, and ROI indicators
- Industry-specific deviation flags and cross-check logic
- Catches inconsistencies early
- Aligns projections across studies
- Enables consistent, high-trust deliverables