Press release
AI Data Center Liquid Cooling Market & Project Pipeline Intelligence Report 2026- 2032
We have recently published Global AI Data Center Project Tracker & Liquid Cooling Intelligence Database (2026-2032). Our report includes intelligence database tracks 500+ existing, under-construction, and planned AI-ready data center projects across North America, Europe, the Middle East, Asia-Pacific, and Africa.Global hyperscaler capital expenditure is on pace to reach roughly US$600-690 billion in 2026 among the five largest U.S. cloud and AI companies alone, up 45% year-on-year, with an estimated 75% of that spend tied directly to AI infrastructure.
Global data center electricity demand tied to AI is projected to expand from approximately 11.5 GW in 2026 to 43.6 GW by 2031 roughly 30% compound annual growth rate - with power availability, not chip supply, now the primary bottleneck on new capacity.
The global data center liquid cooling market is estimated at roughly USD 8 billion in 2026 and is projected to reach US$30 billion by 2033, growing a CAGR % of 31.5% from 2026-2033.
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We have covered country-level analysis of 500+ announced, under-construction, and operational AI data center projects across the United States, Canada, India, Saudi Arabia, UAE, Singapore, Malaysia, and Thailand.
Sovereign and state-linked capital - HUMAIN in Saudi Arabia, G42/Khazna in the UAE, Reliance and Adani in India has emerged as a distinct and fast-growing category of AI infrastructure financing alongside traditional hyperscaler capex.
Country investment attractiveness scoring across power availability and cost, land, policy incentives, grid connectivity, water access, and construction cost per watt. Profiles of leading hyperscale developers, colocation investors, EPC contractors, and liquid cooling technology suppliers shaping the build-out.
Key Insights Include:
✓ AI-focused data center project pipeline by country and developer
✓ Project capacity (MW), status, and expected completion timelines
✓ Liquid cooling adoption trends and technology deployment outlook
✓ High-density rack and GPU infrastructure developments
✓ Hyperscale, colocation, and enterprise data center investments
✓ Developer, investor, operator, and technology vendor profiles
✓ Emerging AI infrastructure hotspots and expansion opportunities
✓ Country-level investment attractiveness and market intelligence
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Unlike traditional market reports focused primarily on market sizing and CAGR forecasts, this database is designed to provide actionable project-level intelligence for:
• Data Center Developers
• Infrastructure Investors
• EPC Contractors
• Cooling Technology Providers
• Cloud & AI Infrastructure Companies
• Power & Energy Solution Providers
If your organization is evaluating AI infrastructure opportunities, market expansion strategies, liquid cooling deployments, or project partnerships, I would be pleased to share the Table of Contents and sample pages for your review.
Table of Contents
Market Segment, By Project Status
• Announced / Planned
• Under Construction
• Operational
Market Segment, By Facility Type
• Hyperscale AI Campuses (typically 200 MW-6+ GW)
• Colocation - Wholesale & Retail
• Edge / Regional AI Facilities
• Enterprise & Sovereign AI Clusters
Market Segment, By Cooling Technology
• Air Cooling (baseline / legacy, sub-30 kW racks)
• Direct-to-Chip Liquid Cooling (cold plate)
• Immersion Cooling (single-phase & two-phase)
• Rear-Door Heat Exchangers
• Hybrid Air-Liquid Systems
Market Segment, By Country*
• United States - the world's largest and most mature market, now power-constrained in legacy hubs
• Canada - fastest-growing pipeline-to-operational ratio, led by Alberta and Quebec
• India - largest domestically-funded build-out outside the United States (Reliance, Adani)
• Saudi Arabia - sovereign-backed, HUMAIN-led multi-gigawatt program
• United Arab Emirates - Stargate UAE and the G42/Khazna "Intelligence Grid"
• Singapore - constrained-supply model with mandatory sustainability standards
• Malaysia - primary Southeast Asian scale-out hub (Johor)
• Thailand - fastest-growing pipeline in Southeast Asia (Eastern Economic Corridor)
• Rest of World - Europe, Latin America, and other emerging markets
Market Segment, By Company / Developer*
• Hyperscalers & sovereign platforms: Microsoft, Amazon Web Services, Google, Meta, Oracle, HUMAIN, G42/Khazna Data Centers
• Colocation & infrastructure investors: Equinix, Digital Realty, Vantage Data Centers, STACK Infrastructure, NTT Global Data Centers, Princeton Digital Group, AdaniConnex
• EPC contractors & engineering firms: AECOM, Turner Construction, DPR Construction, Holder Construction, Whiting-Turner, Fortis Construction, Jacobs, Fluor, Mortenson
• Liquid cooling technology suppliers: Vertiv, Schneider Electric (Motivair), CoolIT Systems, LiquidStack, Submer, nVent, Boyd (Eaton), Rittal, Stulz
• Others (full list finalized based on reviewer input and ongoing project verification)
Stakeholders
• AI data center developers and hyperscale cloud operators
• Colocation providers and data center REITs
• Liquid cooling technology and component manufacturers
• EPC contractors, MEP engineers, and construction firms
• Power utilities, independent power producers, and grid operators
• Government agencies, economic development boards, and investment promotion authorities
• Private equity, infrastructure funds, sovereign wealth funds, and institutional investors
• Semiconductor and GPU/accelerator manufacturers
Charles Lee
Email- info@supplydemandmarketresearch.com
Phone Number: +1-647-247-8080
Website- www.supplydemandmarketresearch.com
We have a strong network of high powered and experienced global consultants who have about 10+ years of experience in the specific industry to deliver quality research and analysis. Having such an experienced network, our services not only cater to the client who wants the basic reference of market numbers and related high growth areas in the demand side, but also we provide detailed and granular information using which the client can definitely plan the strategies with respect to both supply and demand side.
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