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Global AI Data Center Power and Cooling Infrastructure Market Strategic Research Report

Global AI Data Center Power and Cooling Infrastructure Marke…
$3,500 USD
Global AI Data Center Power and Cooling Infrastructure Market Strategic Research Report

By Type: UPS & Power Conditioning, Power Distribution Units (PDU), Switchgear & Transfer Switches, Backup Generators & BESS, AI/GPU Server Power Supplies, Precision Air Cooling (CRAC/CRAH), Chiller & Free-Cooling Systems, Liquid Cooling (DLC + Immersion), Adiabatic & Evaporative Cooling, Thermal Monitoring & Management

By Application: Hyperscale Data Centers, Colocation Data Centers, Enterprise Data Centers, Edge & Micro Data Centers, Government / HPC Data Centers

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

Key Players: Vertiv Holdings Co., Schneider Electric SE, Eaton Corporation, Delta Electronics, ABB Ltd., Caterpillar Inc, Cummins Inc., Carrier Global, Legrand SA, Munters Group AB

Region: Global
Formats: PDF, Excel, Word & PowerPoint
Base year: 2025 · forecast to 2031
Length: 305 pages
Market size 2025
$52.8B
Billion USD
Forecast CAGR
20.9%
2025-2031
Forecast 2031
$164.9B
Projected
Regionen
5
Asia Pacific · Latin America · MEA · Europe · North America

Übersicht

The global AI data center power and cooling infrastructure market is undergoing a structural transformation without precedent in modern industrial technology. Valued at US$52.8 billion in 2025 (base year), the market is projected to reach US$164.8 billion by 2031, a CAGR of 20.9%. This bottom-up figure is directly anchored to Vertiv Holdings' own FY2024 10-K SEC filing (US$7,340 million revenue, +20.3% YoY), cross-validated against Vertiv's implied ~14-15% market share.

Advanced AI GPU clusters (NVIDIA H100, H200, GB200) have driven rack densities from 10-15 kW to 40-100 kW, rendering legacy air-cooled facilities obsolete. Power infrastructure represents ~60% of market value (US$29.6B, 2025); cooling represents ~40% (US$23.2B). North America commands 36% share via hyperscale campuses; Middle East, Southeast Asia, and India are structural growth frontiers.

The global AI data center power and cooling infrastructure market is undergoing a structural transformation without precedent in modern industrial technology. Valued at USD 52.8 billion in 2025, the market is projected to reach USD 164.8 billion by 2031, compounding at an extraordinary CAGR of 20.9%. This expansion represents a fundamental decoupling from historical enterprise IT spend. Rather than a cyclical surge, this growth reflects a permanent, capital-intensive re-architecting of the physical layer of computing, outpacing general data center construction and the broader capital equipment universe.

The Three Structural Anchors of Long-Term Demand

The long-term demand architecture of this market is secured by three structurally irreversible forces:

The Power Density Step-Change: Advanced AI GPU clusters (such as NVIDIA H100, H200, and GB200 architectures) have driven rack densities from historical baselines of 10–15 kW to an unprecedented 40–100 kW per rack. This 4–6x concentration of thermal load renders legacy air-cooled facilities architecturally obsolete, mandating immediate, wholesale capital deployment into direct liquid cooling (DLC) manifolds, immersion tanks, and specialized AI-grade power supply units (PSUs).

Concentrated Hyperscale Capital Mobilization: Total addressable market size is heavily derisked by unprecedented capital commitment from the world’s three largest cloud operators (Microsoft, AWS, and Alphabet), who collectively deployed approximately USD 259 billion in capital expenditures across fiscal years 2024–2025. With physical infrastructure hardware historically capturing 25–35% of total data center build costs, these three players alone generate USD 50–55 billion in annual addressable infrastructure procurement.

Geographic Democratization: While North America remains the primary market anchor—commanding a 36% market share in 2025 via hyper-concentrated campuses like Northern Virginia's "Data Center Alley"—growth is rapidly diversifying globally. Structural demand is accelerating across previously underserved regions, notably the Middle East (driven by Saudi Arabia's Vision 2030 and UAE state-backed funds), Southeast Asia (with Malaysia and Singapore acting as ASEAN hubs), and India (catalyzed by the Data Center Policy framework). This geographic expansion effectively mitigates demand concentration risks for global suppliers.

Segment Dynamics and Vendor Landscape

The market split highlights dual opportunities for infrastructure providers. Power infrastructure remains the larger segment, commanding roughly 60% of total market value in 2025 (USD 29.6 billion), anchored by high-efficiency uninterruptible power supplies (UPS) engineered to handle the highly volatile, transient load profiles of LLM training. Conversely, the cooling segment, representing 40% of the market (USD 23.2 billion), is experiencing the more profound technological disruption as the industry pivots from precision air handling to liquid-to-chip architectures.

The competitive landscape is dominated by scaled industrial players positioned to meet the stringent delivery timelines of hyperscalers. Vertiv Holdings established clear market leadership with an estimated 14–15% market share, powered by an aggressive 19% year-on-year revenue increase to USD 7.34 billion in FY2024. Schneider Electric remains the other primary heavyweight in the space, with its Data Center & Networks division contributing an estimated USD 8.3 billion in physical infrastructure revenue, leveraging its comprehensive, end-to-end power distribution and management ecosystem.

Scope of Global AI Data Center Power and Cooling Infrastructure Market Report

  • This report provides forecast data by value (in USD billion) till 2031 for the global AI Data Center Power & Cooling Infrastructure market.
  • This report provides segment by type (UPS & Power Conditioning, Power Distribution Units (PDU), Switchgear & Transfer Switches, Backup Generators & BESS, AI/GPU Server Power Supplies, Precision Air Cooling (CRAC/CRAH), Chiller & Free-Cooling Systems, Liquid Cooling (DLC + Immersion), Adiabatic & Evaporative Cooling, Thermal Monitoring & Management) forecast data by value (in USD billion) for the global AI Data Center Power & Cooling Infrastructure market till 2031.
  • This report provides application segments (Hyperscale Data Centers, Colocation Data Centers, Enterprise Data Centers, Edge & Micro Data Centers, Government / HPC Data Centers) forecast data by value (in USD billion) for the global AI Data Center Power & Cooling Infrastructure market till 2031.
  • This report provides region-wise (North America, Asia-Pacific, Europe, Middle East & Africa, Latin America) forecast data by value (in USD billion) for the global AI Data Center Power & Cooling Infrastructure market till 2031.
  • This report also provides country-wise forecast data by value (in USD billion) for the USA, Canada, China, Japan, India, Singapore, South Korea, Australia, Rest of APAC, Germany, UK, France, Netherlands, Ireland, Sweden, Rest of Europe, Saudi Arabia, UAE, South Africa, Israel, Rest of MEA, Brazil, Mexico, Chile, Rest of LATAM.
  • This report identifies key growth drivers and inhibitors (pain points) affecting the global AI Data Center Power & Cooling Infrastructure market.
  • This report provides SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis, company profile including revenue (in USD billion) and gross margin (%) for 2020-2025 along with competitive landscape for 10 key companies (Vertiv Holdings Co., Schneider Electric SE, Eaton Corporation, Delta Electronics, ABB Ltd., Caterpillar Inc, Cummins Inc., Carrier Global, Legrand SA and Munters Group AB) in the global AI Data Center Power & Cooling Infrastructure market.
  • This report provides Porter’s Five Forces analysis for global AI Data Center Power & Cooling Infrastructure market.
  • This report provides PESTLE (political, economic, social, technological, legal and environmental) analysis for global AI Data Center Power & Cooling Infrastructure market.
  • This report provides SWOT (Strengths, Weaknesses, Opportunities and Threats) analysis for global AI Data Center Power & Cooling Infrastructure market.

Segment by Type covered in Global AI Data Center Power and Cooling Infrastructure Market Report

  1. UPS & Power Conditioning
  2. Power Distribution Units (PDU)
  3. Switchgear & Transfer Switches
  4. Backup Generators & BESS
  5. AI/GPU Server Power Supplies
  6. Precision Air Cooling (CRAC/CRAH)
  7. Chiller & Free-Cooling Systems
  8. Liquid Cooling (DLC + Immersion)
  9. Adiabatic & Evaporative Cooling
  10. Thermal Monitoring & Management

Segment by Application covered in Global AI Data Center Power and Cooling Infrastructure Market Report

  • Hyperscale Data Centers
  • Colocation Data Centers
  • Enterprise Data Centers
  • Edge & Micro Data Centers
  • Government / HPC Data Centers

Segment by Region covered in Global AI Data Center Power and Cooling Infrastructure Market Report

North America 

  • USA
  • Canada

Asia-Pacific

  • China
  • Japan
  • India
  • Singapore
  • South Korea
  • Australia
  • Rest of APAC

Europe

  • Germany
  • UK
  • France
  • Netherlands
  • Ireland
  • Sweden
  • Rest of Europe

Middle East & Africa

  • Saudi Arabia
  • UAE
  • South Africa
  • Israel
  • Rest of MEA

Latin America

  • Brazil
  • Mexico
  • Chile
  • Rest of LATAM

Who can use the Global AI Data Center Power and Cooling Infrastructure Market Research Report?

  • C-level infrastructure executives, VP of Operations, and engineering directors at Hyperscale cloud platforms and AI providers
  • Investment managers, Venture Capitalists, and Private Equity partners specialized in AI infrastructure, technology real estate, and digital assets
  • Strategic procurement, supply chain, and global sourcing managers at Colocation data center operations and enterprise facilities
  • Product managers, chiplet integration specialists, and hardware systems engineers at server OEMs and semiconductor design firms
  • Data center facilities managers, chief thermal engineers, and power systems planners handling high-density computing loads
  • Industry consultants, system integrators, market intelligence directors, and financial analysts tracking electrical grid infrastructure and mechanical cooling systems
  • Corporate development and M&A managers at industrial manufacturing, utilities equipment, and engineering consultancies looking to scale AI-ready portfolios

Market snapshot

Global AI Data Center Power and Cooling Infrastructure Market Strategic Research Report snapshot, 2025–2031

Source: Market Research Reports
Market size CAGR 20.9%
Regional growth momentum
Market share by segment
Key metrics
Base value
$52.8B
2025
Forecast
$164.9B
2031
CAGR
20.9%
2025–2031
Regionen
5
global
Key companies
Vertiv Holdings Co.Schneider Electric SEEaton CorporationDelta ElectronicsABB Ltd.Caterpillar IncCummins Inc.Carrier Global
© 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
UPS & Power ConditioningPower Distribution Units (PDU)Switchgear & Transfer SwitchesBackup Generators & BESSAI/GPU Server Power SuppliesPrecision Air Cooling (CRAC/CRAH)Chiller & Free-Cooling SystemsLiquid Cooling (DLC + Immersion)Adiabatic & Evaporative CoolingThermal Monitoring & Management
By Application
Hyperscale Data CentersColocation Data CentersEnterprise Data CentersEdge & Micro Data CentersGovernment / HPC Data Centers

Table of contents

Click a chapter to expand
01Executive Summary
  • 1.1 Market Overview and Strategic Context
  • 1.2 Key Market Metrics and Performance Highlights
  • 1.3 Market Structure and Competitive Architecture
  • 1.4 Critical Growth Drivers and Risk Factors
  • 1.5 Methodology and Data Integrity
02Industry Overview & Forecast
  • 2.1 Market Definition and Scope
  • 2.2 Market Sizing Methodology and Bottom-Up Verification
  • 2.3 Overall Market Forecast 2022-2031
  • 2.4 Segment Analysis Overview
  • 2.5 Regional Forecast Overview
  • 2.6 Leading Company Revenue Benchmarks
03Market Segmentation by Type
  • 3.1 Segmentation Overview
  • 3.2 Power Infrastructure Segments
  • 3.2.1 UPS & Power Conditioning
  • 3.2.2 Power Distribution Units (PDU)
  • 3.2.3 Switchgear & Transfer Switches
  • 3.2.4 Backup Generators & Battery Energy Storage Systems (BESS)
  • 3.2.5 AI/GPU Server Power Supplies
  • 3.3 Cooling Infrastructure Segments
  • 3.3.1 Precision Air Cooling (CRAC/CRAH)
  • 3.3.2 Chiller & Free-Cooling Systems
  • 3.3.3 Liquid Cooling - Direct Liquid Cooling (DLC) and Immersion Cooling
  • 3.3.4 Adiabatic & Evaporative Cooling
  • 3.3.5 Thermal Monitoring & Management
  • 3.4 Synthesis: Segment Portfolio Dynamics
04Market Segmentation by Application
  • 4.1 Overview and Structural Framework
  • 4.2 Hyperscale Data Centers
  • 4.2.1 The Hyperscaler Capital Expenditure Supercycle
  • 4.2.2 Power Density Economics Driving Infrastructure Intensity
  • 4.2.3 Forecast Detail and Interim Milestones
  • 4.3 Colocation Data Centers
  • 4.3.1 Operator Fundamentals and AI Readiness Investments
  • 4.3.2 Forecast Progression
  • 4.4 Enterprise Data Centers
  • 4.4.1 Cloud Migration and Offsetting Private AI Demand
  • 4.4.2 Forecast Progression
  • 4.5 Edge and Micro Data Centers
  • 4.5.1 Structural Growth Drivers
  • 4.5.2 Forecast Progression
  • 4.6 Government and HPC Data Centers
  • 4.6.1 National AI Research Infrastructure Investments
  • 4.6.2 HPC Cooling Infrastructure Requirements
  • 4.6.3 Forecast Progression
  • 4.7 Application Segment Synthesis and Structural Implications
  • 4.7.1 Consolidated Segment Summary
  • 4.7.2 Market Share Polarisation and Vendor Strategy Implications
  • 4.7.3 Absolute Dollar Increment by Segment: 2025-2031
05Regional Market Forecast
  • 5.1 North America
  • 5.1.1 Regional Overview
  • 5.1.2 Key Growth Drivers
  • 5.1.3 Regulatory & Infrastructure Landscape
  • 5.1.4 Country-Level Analysis
  • 5.1.5 Market Forecast 2025-2031
  • 5.2 Asia-Pacific
  • 5.2.1 Regional Overview
  • 5.2.2 Key Growth Drivers
  • 5.2.3 Regulatory & Infrastructure Landscape
  • 5.2.4 Country-Level Analysis
  • 5.2.5 Market Forecast 2025-2031
  • 5.3 Europe
  • 5.3.1 Regional Overview
  • 5.3.2 Key Growth Drivers
  • 5.3.3 Regulatory & Infrastructure Landscape
  • 5.3.4 Country-Level Analysis
  • 5.3.5 Market Forecast 2025-2031
  • 5.4 Middle East & Africa
  • 5.4.1 Regional Overview
  • 5.4.2 Key Growth Drivers
  • 5.4.3 Regulatory & Infrastructure Landscape
  • 5.4.4 Country-Level Analysis
  • 5.4.5 Market Forecast 2025-2031
  • 5.5 Latin America
  • 5.5.1 Regional Overview
  • 5.5.2 Key Growth Drivers
  • 5.5.3 Regulatory & Infrastructure Landscape
  • 5.5.4 Country-Level Analysis
  • 5.5.5 Market Forecast 2025-2031
06Country-Level Market Forecast
  • 6.1 North America
  • 6.1.1 USA
  • 6.1.2 Canada
  • 6.2 Asia-Pacific
  • 6.2.1 China
  • 6.2.2 Japan
  • 6.2.3 India
  • 6.2.4 Singapore
  • 6.2.5 South Korea
  • 6.2.6 Australia
  • 6.2.7 Rest of APAC
  • 6.3 Europe
  • 6.3.1 Germany
  • 6.3.2 UK
  • 6.3.3 France
  • 6.3.4 Netherlands
  • 6.3.5 Competitive Landscape
  • 6.3.6 Regulatory and Policy Environment
  • 6.3.7 Market Outlook and Strategic Conclusions
  • 6.3.8 Ireland
  • 6.3.9 Sweden
  • 6.3.10 Rest of Europe
  • 6.4 Middle East & Africa
  • 6.4.1 Saudi Arabia
  • 6.4.2 UAE
  • 6.4.3 South Africa
  • 6.4.4 Israel
  • 6.4.5 Rest of MEA
  • 6.5 Latin America
  • 6.5.1 Brazil
  • 6.5.2 Mexico
  • 6.5.3 Chile
  • 6.5.4 Rest of LATAM
07Growth Drivers & Inhibitors
  • 7.1 Key Growth Drivers
  • 7.2 Key Market Inhibitors
  • 7.3 Net Market Assessment: Driver-Inhibitor Balance
08Key Company Profiles
  • 8.1 Vertiv Holdings Co.
  • 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 (2025-2031)
  • 8.2 Schneider Electric SE
  • 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 (2025-2031)
  • 8.3 Eaton Corporation
  • 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 (2025-2031)
  • 8.4 Delta Electronics
  • 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 (2025-2031)
  • 8.5 ABB Ltd.
  • 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 (2025-2031)
  • 8.6 Caterpillar Inc
  • 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 (2025-2031)
  • 8.7 Cummins Inc.
  • 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 (2025-2031)
  • 8.8 Carrier Global
  • 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 (2025-2031)
  • 8.9 Legrand SA
  • 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 (2025-2031)
  • 8.10 Munters Group AB
  • 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 (2025-2031)
09Competitive Landscape
  • 9.1 Competitive Landscape Overview
  • 9.2 Competitive Intensity Assessment
  • 9.3 Key Player Strategies & Positioning
  • 9.4 Competitive Dynamics & Strategic Outlook
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 Factors
  • 11.2 Economic Factors
  • 11.3 Social Factors
  • 11.4 Technological Factors
  • 11.5 Legal & Regulatory Factors
  • 11.6 Environmental Factors
  • 11.7 PESTLE Summary and Strategic Implications
12SWOT Analysis
  • 12.1 Strengths
  • 12.2 Weaknesses
  • 12.3 Opportunities
  • 12.4 Threats
  • 12.5 SWOT Summary Matrix
13Future Trends & Outlook
  • 13.1 Strategic Overview
  • 13.2 Key Forward-Looking Trends
  • 13.3 Scenario Analysis
  • 13.4 Strategic Recommendations

Tables and figures

  1. Exhibit 2.1: Forecast of Global (in USD Bn)
  2. Exhibit 2.2: Forecast of North America (in USD Bn)
  3. Exhibit 2.3: Forecast of Asia-Pacific (in USD Bn)
  4. Exhibit 2.4: Forecast of Europe (in USD Bn)
  5. Exhibit 2.5: Forecast of Middle East & Africa (in USD Bn)
  6. Exhibit 2.6: Forecast of Latin America (in USD Bn)
  7. Exhibit 3.7: Forecast of UPS & Power Conditioning (in USD Bn)
  8. Exhibit 3.8: Forecast of Power Distribution Units (PDU) (in USD Bn)
  9. Exhibit 3.9: Forecast of Switchgear & Transfer Switches (in USD Bn)
  10. Exhibit 3.10: Forecast of Backup Generators & BESS (in USD Bn)
  11. Exhibit 3.11: Forecast of AI/GPU Server Power Supplies (in USD Bn)
  12. Exhibit 3.12: Forecast of Precision Air Cooling (CRAC/CRAH) (in USD Bn)
  13. Exhibit 3.13: Forecast of Chiller & Free-Cooling Systems (in USD Bn)
  14. Exhibit 3.14: Forecast of Liquid Cooling (DLC + Immersion) (in USD Bn)
  15. Exhibit 3.15: Forecast of Adiabatic & Evaporative Cooling (in USD Bn)
  16. Exhibit 3.16: Forecast of Thermal Monitoring & Management (in USD Bn)
  17. Exhibit 4.17: Forecast of Hyperscale Data Centers (in USD Bn)
  18. Exhibit 4.18: Forecast of Colocation Data Centers (in USD Bn)
  19. Exhibit 4.19: Forecast of Enterprise Data Centers (in USD Bn)
  20. Exhibit 4.20: Forecast of Edge & Micro Data Centers (in USD Bn)
  21. Exhibit 4.21: Forecast of Government / HPC Data Centers (in USD Bn)
  22. Exhibit 5.22: Forecast of North America (in USD Bn)
  23. Exhibit 5.23: Forecast of USA (in USD Bn)
  24. Exhibit 5.24: Forecast of Canada (in USD Bn)
  25. Exhibit 5.25: Forecast of Asia-Pacific (in USD Bn)
  26. Exhibit 5.26: Forecast of China (in USD Bn)
  27. Exhibit 5.27: Forecast of Japan (in USD Bn)
  28. Exhibit 5.28: Forecast of India (in USD Bn)
  29. Exhibit 5.29: Forecast of Singapore (in USD Bn)
  30. Exhibit 5.30: Forecast of South Korea (in USD Bn)
  31. Exhibit 5.31: Forecast of Australia (in USD Bn)
  32. Exhibit 5.32: Forecast of Rest of APAC (in USD Bn)
  33. Exhibit 5.33: Forecast of Europe (in USD Bn)
  34. Exhibit 5.34: Forecast of Germany (in USD Bn)
  35. Exhibit 5.35: Forecast of UK (in USD Bn)
  36. Exhibit 5.36: Forecast of France (in USD Bn)
  37. Exhibit 5.37: Forecast of Netherlands (in USD Bn)
  38. Exhibit 5.38: Forecast of Ireland (in USD Bn)
  39. Exhibit 5.39: Forecast of Sweden (in USD Bn)
  40. Exhibit 5.40: Forecast of Rest of Europe (in USD Bn)
  41. Exhibit 5.41: Forecast of Middle East & Africa (in USD Bn)
  42. Exhibit 5.42: Forecast of Saudi Arabia (in USD Bn)
  43. Exhibit 5.43: Forecast of UAE (in USD Bn)
  44. Exhibit 5.44: Forecast of South Africa (in USD Bn)
  45. Exhibit 5.45: Forecast of Israel (in USD Bn)
  46. Exhibit 5.46: Forecast of Rest of MEA (in USD Bn)
  47. Exhibit 5.47: Forecast of Latin America (in USD Bn)
  48. Exhibit 5.48: Forecast of Brazil (in USD Bn)
  49. Exhibit 5.49: Forecast of Mexico (in USD Bn)
  50. Exhibit 5.50: Forecast of Chile (in USD Bn)
  51. Exhibit 5.51: Forecast of Rest of LATAM (in USD Bn)

Frequently asked questions

What is the size of the global AI data center power and cooling infrastructure market?
The market was valued at US$52.8 billion in 2025 (base year) and is projected to reach US$164.8 billion by 2031, a CAGR of 20.9%.
How was this market sized?
Via bottom-up aggregation of publicly disclosed company revenues, anchored to Vertiv Holdings' own FY2024 10-K SEC filing (US$7,340 million revenue), avoiding reliance on opaque third-party survey databases.
Which companies lead this market?
Vertiv Holdings holds market leadership with an estimated 14-15% share; Schneider Electric, Eaton, Delta Electronics, and ABB are also major players.
What is driving demand?
AI GPU cluster power density has increased 4-6x (10-15 kW to 40-100 kW per rack), mandating wholesale capital deployment into direct liquid cooling and AI-grade power infrastructure.

Research Methodology

All MarketResearchReports.com strategic research reports follow a rigorous, multi-stage methodology combining AI-assisted data synthesis with expert analyst validation.

01
Secondary Research & Data Aggregation

Systematic collection from 500+ verified sources including SEC filings, industry databases (Bloomberg, Statista, OECD), regulatory filings, trade publications, patent databases, and company annual reports. AI-assisted extraction identifies relevant data points across 10,000+ documents per report.

02
Market Sizing — Bottom-Up & Top-Down

Dual-validation approach: bottom-up sizing aggregates segment-level production, consumption, and trade data; top-down sizing cross-validates against macroeconomic indicators and total addressable market estimates. Discrepancies >5% trigger analyst review.

03
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.

05
Analyst Validation & Quality Assurance

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06
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On-demand reports are generated at time of purchase, incorporating the most recent available data. Static reports are republished when underlying market conditions shift by >10% from baseline assumptions. Purchasers receive update notifications for 12 months.

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