The global data center liquid cooling market size is anticipated to witness phenomenal growth from 2023 to 2033. According to the research report published by Future Market Insights, the global market is expected to surpass a valuation of US$ 2,660.1 million in 2023. It is predicted to reach a valuation of US$ 15,974.3 million by 2033. The market is foreseen to thrive at an astronomical CAGR of 19.6% from 2023 to 2033.
Emerging technologies and the rising need for energy-efficient cooling solutions are all contributing to the growth of the data center liquid cooling industry.
Growing demand for energy-efficient cooling solutions, compact and noise-free solutions, the need for lower operating costs, and improved overclocking capability are all prominent reasons driving market expansion. Furthermore, variables such as artificial intelligence developments, blockchain, and other emerging technologies, as well as high-density cooling, are likely to provide significant prospects for data center liquid cooling manufacturers.
| Attribute | Details |
|---|---|
| Data Center Liquid Cooling Market Share (2022) | US$ 2,254.3 million |
| Data Center Liquid Cooling Market Share (2023) | US$ 2,660.1 million |
| Data Center Liquid Cooling Market Share (2033) | US$ 15,974.3 million |
| Data Center Liquid Cooling Market Share (2023 to 2033) | 19.6% |
Don't pay for what you don't need
Customize your report by selecting specific countries or regions and save 30%!
The global data center liquid cooling industry size expanded at a CAGR of 17.5% from 2018 to 2022. In 2018, the global market size stood at US$ 1,180.7 million. In the following years, the market witnessed significant growth, accounting for US$ 2,254.3 million in 2022.
Higher processing density could potentially be achieved in data centers within the same physical footprint through liquid cooling. Liquid cooling technologies enable the installation of more equipment in a smaller area by effectively eliminating heat. This is especially important in settings where space is expensive or scarce since it enables data centers to increase their processing power without changing their physical infrastructure.
Data centers are under pressure to lower their carbon footprint and energy use as environmental sustainability is becoming more and more of a concern. Compared to conventional air cooling, liquid cooling is a more ecologically friendly option since it increases energy efficiency and lessens the need for power-hungry cooling equipment. Data centers may aid in the development of a greener, more sustainable IT infrastructure by implementing liquid cooling technology.
High-performance, great-frequency, and intensive workload conditions, multi-core computing, such as artificial intelligence, machine learning, and end-to-end data center solutions, are in high demand in data centers. Data center owners may address a wide range of needs across the company, with the newest developments in indirect or direct-on-chip liquid cooling and system integrator services. The increasing adoption of cold plates, direct liquid cooling (DLC), indirect liquid cooling, and rack liquid cooling by various end users. Such as cloud providers, colocation providers, hyperscale data centers, and others, are expected to drive demand for data center liquid cooling technology.
Data centers are experiencing unprecedented computation and core count-hungry applications in today's era. As traditional air cooling hits its limits, data center operators and owners must rethink rising density and the challenges they entail.
Principal Consultant
More than simply, mainframes and supercomputers benefit from liquid cooling in data centers.
Water and other liquids are far more efficient at carrying heat than air, and they can also remove some problems that come with air cooling systems. Especially as computer density rises and data centers grow, boosting the demand in the market. Liquid cooling technology has a far higher heat capacity than air; water is 4,000 times more efficient than air. This method provides improved energy efficiency across the data center when compared to air-cooled sites, with rack density estimates north of 50 kW.
The market is segmented into data center type, component, end-use, and region.
Enterprises favor liquid cooling systems for end users, which can be ascribed to customers' growing IT demands. By lowering downtime and enhancing disaster recovery capabilities, data center services assist save costs and preserving server availability. Due to these advantages, businesses are increasingly using data center liquid cooling in their data centers. As a result, the data center cooling market is anticipated to reach US$ 3.2 billion by 2024.
By component, the FMI study finds that the solution component has a high revenue potential through 2033.
The adoption of the solution system is expected to be a CAGR of 18.6% during the forecast period. In 2022, the solution segment by component captured 55.4% shares in the global market. Key suppliers offer a variety of liquid cooling options, while niche and developing vendors offer niche and emerging liquid cooling solutions. Due to their usefulness in high-density cooling, data center liquid cooling technologies are garnering a lot of interest from large end-users.
Based on data centers, large data centers are predicted to grow at a rapid rate, with a CAGR of 17.7% through 2023. In 2022, the large data center type segment captured 61.2% shares in the global market. Large data centers are distinguished by their extensive use of processing power to meet the data center needs of large corporations. These data centers are distinguished by stringent operational cost limits and a stronger demand for energy efficiency. Currently, these data centers are seeing a lot of rack- and row-based cooling solutions, but immersion cooling technologies are expected to see a lot more acceptance. Because of the higher cooling requirements of high-density server racks.
Get the data you need at a Fraction of the cost
Personalize your report by choosing insights you need
and save 40%!
North America, Asia Pacific (APAC), Europe, the Middle East and Africa (MEA), and Latin America are the five key geographic regions that make up the global market.
Increasing technology adoption among North American organizations for reducing data center energy consumption, as well as the presence of data center liquid cooling vendors, are predicted to account for a huge market size of US$ 4.1 billion over the projection period. In 2022, North America captured 34.3% shares in the global market, while the United States garnered 24.3% of global market shares. Individuals and businesses using the Internet in the United States of America are rapidly increasing. The country is a huge market for data center operations, and it is expected to continue to grow due to increased data consumption by end users.
The growing popularity of the Internet of Things (IoT) is a prominent driver for the hyper-scale data center market in the United States. Resulting in the construction of new facilities capable of handling exabytes of data generated by both commercial and consumer users.
Several sectors are experiencing a digital transformation, with enterprises migrating from traditional physical documents to digital services during the pandemic. According to the United Kingdom data center liquid cooling market, is expected to have a CAGR of 18.2% through 2033. In 2022, the United Kingdom captured 16.5% shares in the global market. Increased use of online payments in the BFSI industry has sparked demand for data centers with sophisticated cooling capabilities for servers to provide continuous and reliable services.
Companies provide effective thermal management systems to keep data centers running smoothly and with minimal downtime. Some benefits that are encouraging cloud service providers to use data center liquid cooling technologies include network reliability, security and compliance, hybrid cloud, and scalability.
The market leaders are concentrating their efforts on growing their consumer base to include international countries. To improve their market share and profitability, these companies are relying on strategic cooperation projects.
Recent Developments Observed by FMI:
| Attribute | Details |
|---|---|
| Forecast Period | 2023 to 2033 |
| Historical Data Available for | 2018 to 2022 |
| Market Analysis | US$ million for Value |
| Key Regions Covered | North America; Latin America; Europe; Asia Pacific; The Middle East & Africa (MEA) |
| Key Countries Covered | United States, Canada, Germany, United Kingdom, Nordic, Russia, BENELUX, Poland, France, Spain, Italy, Czech Republic, Hungary, Rest of EMEAI, Brazil, Peru, Argentina, Mexico, South Africa, Northern Africa, GCC Countries, China, Japan, South Korea, India, ASEAN, Thailand, Malaysia, Indonesia, Australia, New Zealand, Others |
| Key Segments Covered | Component, Data Center Type, End Use, Region |
| Report Coverage | Market Forecast, Company Share Analysis, Competition Intelligence, Trend Analysis, Market Dynamics and Challenges, and Strategic Growth Initiatives |
The market is valued at US$ 2.6 billion in 2023.
Rittal, Vertive Holdings, and Schneider Electric are key market players.
The market will reach US$ 15.9 billion by 2033.
Rising focus on implementing energy-efficient solutions will drive sales.
From 2018 to 2022, the market registered a CAGR of 17.5%.
1. Executive Summary
1.1. Global Market Outlook
1.2. Demand-side Trends
1.3. Supply-side Trends
1.4. Technology Roadmap Analysis
1.5. Analysis and Recommendations
2. Market Overview
2.1. Market Coverage / Taxonomy
2.2. Market Definition / Scope / Limitations
3. Market Background
3.1. Market Dynamics
3.1.1. Drivers
3.1.2. Restraints
3.1.3. Opportunity
3.1.4. Trends
3.2. Scenario Forecast
3.2.1. Demand in Optimistic Scenario
3.2.2. Demand in Likely Scenario
3.2.3. Demand in Conservative Scenario
3.3. Opportunity Map Analysis
3.4. Product Life Cycle Analysis
3.5. Supply Chain Analysis
3.5.1. Supply Side Participants and their Roles
3.5.1.1. Producers
3.5.1.2. Mid-Level Participants (Traders/ Agents/ Brokers)
3.5.1.3. Wholesalers and Distributors
3.5.2. Value Added and Value Created at Node in the Supply Chain
3.5.3. List of Raw Material Suppliers
3.5.4. List of Existing and Potential Buyer’s
3.6. Investment Feasibility Matrix
3.7. Value Chain Analysis
3.7.1. Profit Margin Analysis
3.7.2. Wholesalers and Distributors
3.7.3. Retailers
3.8. PESTLE and Porter’s Analysis
3.9. Regulatory Landscape
3.9.1. By Key Regions
3.9.2. By Key Countries
3.10. Regional Parent Market Outlook
3.11. Production and Consumption Statistics
3.12. Import and Export Statistics
4. Global Market Analysis 2018 to 2022 and Forecast, 2023 to 2033
4.1. Historical Market Size Value (US$ Million) & Volume (Units) Analysis, 2018 to 2022
4.2. Current and Future Market Size Value (US$ Million) & Volume (Units) Projections, 2023 to 2033
4.2.1. Y-o-Y Growth Trend Analysis
4.2.2. Absolute $ Opportunity Analysis
5. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Component
5.1. Introduction / Key Findings
5.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Component, 2018 to 2022
5.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Component, 2023 to 2033
5.3.1. Services
5.3.2. Solution
5.4. Y-o-Y Growth Trend Analysis By Component, 2018 to 2022
5.5. Absolute $ Opportunity Analysis By Component, 2023 to 2033
6. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Data Center Type
6.1. Introduction / Key Findings
6.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Data Center Type, 2018 to 2022
6.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Data Center Type, 2023 to 2033
6.3.1. Small & Medium Sized Center
6.3.2. Large Center
6.4. Y-o-Y Growth Trend Analysis By Data Center Type, 2018 to 2022
6.5. Absolute $ Opportunity Analysis By Data Center Type, 2023 to 2033
7. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By End Use
7.1. Introduction / Key Findings
7.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By End Use, 2018 to 2022
7.3. Current and Future Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By End Use, 2023 to 2033
7.3.1. Cloud Providers
7.3.2. Colocation Providers
7.3.3. Enterprise
7.3.4. Hyperscale Data Centers
7.4. Y-o-Y Growth Trend Analysis By End Use, 2018 to 2022
7.5. Absolute $ Opportunity Analysis By End Use, 2023 to 2033
8. Global Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Region
8.1. Introduction
8.2. Historical Market Size Value (US$ Million) & Volume (Units) Analysis By Region, 2018 to 2022
8.3. Current Market Size Value (US$ Million) & Volume (Units) Analysis and Forecast By Region, 2023 to 2033
8.3.1. North America
8.3.2. Latin America
8.3.3. Europe
8.3.4. Asia Pacific
8.3.5. MEA
8.4. Market Attractiveness Analysis By Region
9. North America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
9.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
9.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
9.2.1. By Country
9.2.1.1. The USA
9.2.1.2. Canada
9.2.2. By Component
9.2.3. By Data Center Type
9.2.4. By End Use
9.3. Market Attractiveness Analysis
9.3.1. By Country
9.3.2. By Component
9.3.3. By Data Center Type
9.3.4. By End Use
9.4. Key Takeaways
10. Latin America Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
10.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
10.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
10.2.1. By Country
10.2.1.1. Brazil
10.2.1.2. Mexico
10.2.1.3. Rest of Latin America
10.2.2. By Component
10.2.3. By Data Center Type
10.2.4. By End Use
10.3. Market Attractiveness Analysis
10.3.1. By Country
10.3.2. By Component
10.3.3. By Data Center Type
10.3.4. By End Use
10.4. Key Takeaways
11. Europe Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
11.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
11.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
11.2.1. By Country
11.2.1.1. Germany
11.2.1.2. United Kingdom
11.2.1.3. France
11.2.1.4. Spain
11.2.1.5. Italy
11.2.1.6. Rest of Europe
11.2.2. By Component
11.2.3. By Data Center Type
11.2.4. By End Use
11.3. Market Attractiveness Analysis
11.3.1. By Country
11.3.2. By Component
11.3.3. By Data Center Type
11.3.4. By End Use
11.4. Key Takeaways
12. Asia Pacific Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
12.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
12.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
12.2.1. By Country
12.2.1.1. China
12.2.1.2. Japan
12.2.1.3. South Korea
12.2.1.4. Singapore
12.2.1.5. Thailand
12.2.1.6. Indonesia
12.2.1.7. Australia
12.2.1.8. New Zealand
12.2.1.9. Rest of Asia Pacific
12.2.2. By Component
12.2.3. By Data Center Type
12.2.4. By End Use
12.3. Market Attractiveness Analysis
12.3.1. By Country
12.3.2. By Component
12.3.3. By Data Center Type
12.3.4. By End Use
12.4. Key Takeaways
13. MEA Market Analysis 2018 to 2022 and Forecast 2023 to 2033, By Country
13.1. Historical Market Size Value (US$ Million) & Volume (Units) Trend Analysis By Market Taxonomy, 2018 to 2022
13.2. Market Size Value (US$ Million) & Volume (Units) Forecast By Market Taxonomy, 2023 to 2033
13.2.1. By Country
13.2.1.1. GCC Countries
13.2.1.2. South Africa
13.2.1.3. Israel
13.2.1.4. Rest of MEA
13.2.2. By Component
13.2.3. By Data Center Type
13.2.4. By End Use
13.3. Market Attractiveness Analysis
13.3.1. By Country
13.3.2. By Component
13.3.3. By Data Center Type
13.3.4. By End Use
13.4. Key Takeaways
14. Key Countries Market Analysis
14.1. USA
14.1.1. Pricing Analysis
14.1.2. Market Share Analysis, 2022
14.1.2.1. By Component
14.1.2.2. By Data Center Type
14.1.2.3. By End Use
14.2. Canada
14.2.1. Pricing Analysis
14.2.2. Market Share Analysis, 2022
14.2.2.1. By Component
14.2.2.2. By Data Center Type
14.2.2.3. By End Use
14.3. Brazil
14.3.1. Pricing Analysis
14.3.2. Market Share Analysis, 2022
14.3.2.1. By Component
14.3.2.2. By Data Center Type
14.3.2.3. By End Use
14.4. Mexico
14.4.1. Pricing Analysis
14.4.2. Market Share Analysis, 2022
14.4.2.1. By Component
14.4.2.2. By Data Center Type
14.4.2.3. By End Use
14.5. Germany
14.5.1. Pricing Analysis
14.5.2. Market Share Analysis, 2022
14.5.2.1. By Component
14.5.2.2. By Data Center Type
14.5.2.3. By End Use
14.6. United Kingdom
14.6.1. Pricing Analysis
14.6.2. Market Share Analysis, 2022
14.6.2.1. By Component
14.6.2.2. By Data Center Type
14.6.2.3. By End Use
14.7. France
14.7.1. Pricing Analysis
14.7.2. Market Share Analysis, 2022
14.7.2.1. By Component
14.7.2.2. By Data Center Type
14.7.2.3. By End Use
14.8. Spain
14.8.1. Pricing Analysis
14.8.2. Market Share Analysis, 2022
14.8.2.1. By Component
14.8.2.2. By Data Center Type
14.8.2.3. By End Use
14.9. Italy
14.9.1. Pricing Analysis
14.9.2. Market Share Analysis, 2022
14.9.2.1. By Component
14.9.2.2. By Data Center Type
14.9.2.3. By End Use
14.10. China
14.10.1. Pricing Analysis
14.10.2. Market Share Analysis, 2022
14.10.2.1. By Component
14.10.2.2. By Data Center Type
14.10.2.3. By End Use
14.11. Japan
14.11.1. Pricing Analysis
14.11.2. Market Share Analysis, 2022
14.11.2.1. By Component
14.11.2.2. By Data Center Type
14.11.2.3. By End Use
14.12. South Korea
14.12.1. Pricing Analysis
14.12.2. Market Share Analysis, 2022
14.12.2.1. By Component
14.12.2.2. By Data Center Type
14.12.2.3. By End Use
14.13. Singapore
14.13.1. Pricing Analysis
14.13.2. Market Share Analysis, 2022
14.13.2.1. By Component
14.13.2.2. By Data Center Type
14.13.2.3. By End Use
14.14. Thailand
14.14.1. Pricing Analysis
14.14.2. Market Share Analysis, 2022
14.14.2.1. By Component
14.14.2.2. By Data Center Type
14.14.2.3. By End Use
14.15. Indonesia
14.15.1. Pricing Analysis
14.15.2. Market Share Analysis, 2022
14.15.2.1. By Component
14.15.2.2. By Data Center Type
14.15.2.3. By End Use
14.16. Australia
14.16.1. Pricing Analysis
14.16.2. Market Share Analysis, 2022
14.16.2.1. By Component
14.16.2.2. By Data Center Type
14.16.2.3. By End Use
14.17. New Zealand
14.17.1. Pricing Analysis
14.17.2. Market Share Analysis, 2022
14.17.2.1. By Component
14.17.2.2. By Data Center Type
14.17.2.3. By End Use
14.18. GCC Countries
14.18.1. Pricing Analysis
14.18.2. Market Share Analysis, 2022
14.18.2.1. By Component
14.18.2.2. By Data Center Type
14.18.2.3. By End Use
14.19. South Africa
14.19.1. Pricing Analysis
14.19.2. Market Share Analysis, 2022
14.19.2.1. By Component
14.19.2.2. By Data Center Type
14.19.2.3. By End Use
14.20. Israel
14.20.1. Pricing Analysis
14.20.2. Market Share Analysis, 2022
14.20.2.1. By Component
14.20.2.2. By Data Center Type
14.20.2.3. By End Use
15. Market Structure Analysis
15.1. Competition Dashboard
15.2. Competition Benchmarking
15.3. Market Share Analysis of Top Players
15.3.1. By Regional
15.3.2. By Component
15.3.3. By Data Center Type
15.3.4. By End Use
16. Competition Analysis
16.1. Competition Deep Dive
16.1.1. Midas Green Technologies
16.1.1.1. Overview
16.1.1.2. Product Portfolio
16.1.1.3. Profitability by Market Segments
16.1.1.4. Sales Footprint
16.1.1.5. Strategy Overview
16.1.1.5.1. Marketing Strategy
16.1.1.5.2. Product Strategy
16.1.1.5.3. Channel Strategy
16.1.2. Rittal
16.1.2.1. Overview
16.1.2.2. Product Portfolio
16.1.2.3. Profitability by Market Segments
16.1.2.4. Sales Footprint
16.1.2.5. Strategy Overview
16.1.2.5.1. Marketing Strategy
16.1.2.5.2. Product Strategy
16.1.2.5.3. Channel Strategy
16.1.3. Vertiv Holdings
16.1.3.1. Overview
16.1.3.2. Product Portfolio
16.1.3.3. Profitability by Market Segments
16.1.3.4. Sales Footprint
16.1.3.5. Strategy Overview
16.1.3.5.1. Marketing Strategy
16.1.3.5.2. Product Strategy
16.1.3.5.3. Channel Strategy
16.1.4. Green Revolution Cooling (GRC)
16.1.4.1. Overview
16.1.4.2. Product Portfolio
16.1.4.3. Profitability by Market Segments
16.1.4.4. Sales Footprint
16.1.4.5. Strategy Overview
16.1.4.5.1. Marketing Strategy
16.1.4.5.2. Product Strategy
16.1.4.5.3. Channel Strategy
16.1.5. Schneider Electric
16.1.5.1. Overview
16.1.5.2. Product Portfolio
16.1.5.3. Profitability by Market Segments
16.1.5.4. Sales Footprint
16.1.5.5. Strategy Overview
16.1.5.5.1. Marketing Strategy
16.1.5.5.2. Product Strategy
16.1.5.5.3. Channel Strategy
16.1.6. Alfa Laval AB
16.1.6.1. Overview
16.1.6.2. Product Portfolio
16.1.6.3. Profitability by Market Segments
16.1.6.4. Sales Footprint
16.1.6.5. Strategy Overview
16.1.6.5.1. Marketing Strategy
16.1.6.5.2. Product Strategy
16.1.6.5.3. Channel Strategy
16.1.7. Asetek
16.1.7.1. Overview
16.1.7.2. Product Portfolio
16.1.7.3. Profitability by Market Segments
16.1.7.4. Sales Footprint
16.1.7.5. Strategy Overview
16.1.7.5.1. Marketing Strategy
16.1.7.5.2. Product Strategy
16.1.7.5.3. Channel Strategy
16.1.8. Chilldyne
16.1.8.1. Overview
16.1.8.2. Product Portfolio
16.1.8.3. Profitability by Market Segments
16.1.8.4. Sales Footprint
16.1.8.5. Strategy Overview
16.1.8.5.1. Marketing Strategy
16.1.8.5.2. Product Strategy
16.1.8.5.3. Channel Strategy
16.1.9. Asperitas
16.1.9.1. Overview
16.1.9.2. Product Portfolio
16.1.9.3. Profitability by Market Segments
16.1.9.4. Sales Footprint
16.1.9.5. Strategy Overview
16.1.9.5.1. Marketing Strategy
16.1.9.5.2. Product Strategy
16.1.9.5.3. Channel Strategy
16.1.10. CoolIT Systems
16.1.10.1. Overview
16.1.10.2. Product Portfolio
16.1.10.3. Profitability by Market Segments
16.1.10.4. Sales Footprint
16.1.10.5. Strategy Overview
16.1.10.5.1. Marketing Strategy
16.1.10.5.2. Product Strategy
16.1.10.5.3. Channel Strategy
16.1.11. DCX
16.1.11.1. Overview
16.1.11.2. Product Portfolio
16.1.11.3. Profitability by Market Segments
16.1.11.4. Sales Footprint
16.1.11.5. Strategy Overview
16.1.11.5.1. Marketing Strategy
16.1.11.5.2. Product Strategy
16.1.11.5.3. Channel Strategy
17. Assumptions & Acronyms Used
18. Research Methodology
Explore Technology Insights
View Reports
Data Center Liquid Cooling Market
