Hyperscale Datacenter Market Size and Share

Hyperscale Datacenter Market (2025 - 2030)
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Hyperscale Datacenter Market Analysis by Mordor Intelligence

The hyperscale data center market is valued at USD 167.34 billion in 2025 and is forecast to reach USD 602.39 billion by 2030, reflecting a robust 23.58% CAGR. Scale economics, AI-centric hardware demand, and sovereign-cloud regulations are re-shaping facility design, with GPU racks routinely exceeding 50 kW power density.[1]StorageReview Staff, “Google Builds 1 MW Racks for AI Training,” StorageReview, storagereview.com Accelerated regional build-outs in Europe and Asia-Pacific, combined with real-time payment mandates in key fintech hubs, sustain a construction pipeline that exceeds 3 GW of new capacity annually. Operators are pivoting from air to direct-to-chip liquid cooling, while regulatory heat taxes in the Netherlands and Singapore heighten focus on carbon-aware site selection. Strategic land banking and multi-year GPU supply agreements have become decisive competitive levers as silicon shortages and long utility lead times converge.

Key Report Takeaways

  • By data center type, Enterprise/Hyperscale Self-build held 70.2% of hyperscale data center market share in 2024, whereas Hyperscale Colocation is projected to expand at a 25.6% CAGR to 2030.
  • By component, IT Infrastructure commanded 48% revenue share of the hyperscale data center market in 2024, while Software & Services records the fastest 27.1% CAGR through 2030.  
  • By tier, Tier III facilities accounted for 65.4% share of the hyperscale data center market size in 2024, yet Tier IV is growing at a 29.4% CAGR on mission-critical fintech demand.  
  • By end-user industry, Cloud Service Providers led with 75.6% share in 2024; Healthcare & Life Sciences is advancing at a 26.2% CAGR to 2030.  
  • By geography, North America represented 43.3% share in 2024, while Asia-Pacific is the fastest-growing region with a 29.1% CAGR through 2030.

Segment Analysis

By Data Center Type: Self-build Dominance Meets Rapid Colocation Uptake

Self-build operators accounted for 70.2% of hyperscale data center market share in 2024, riding capital-intensive programs such as Amazon’s USD 150 billion multiyear roadmap. Control over design enables bespoke power trains and proprietary network fabrics tuned for AI clusters. Yet hyperscale colocation is forecast to deliver a 25.6% CAGR, narrowing the ownership gap as speed-to-market trumps asset control in new regions.  

Colocation providers secure land and power in advance to offer modular suites on 12-month lead-times, compressing occupancy ramp-up for cloud entrants. Vantage’s USD 9.2 billion equity raise underpins this expansion, indicating private-equity appetite for recurring revenue tied to long-term hyperscale contracts. As more sovereign-cloud deals stipulate local partners, colocation gains strategic relevance across emerging markets.

Hyperscale Data Center Market
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By Component: Hardware Primacy Amid Software-led Efficiencies

The segment generated 48% of the hyperscale data center market size from IT Infrastructure purchases in 2024, with GPUs, DDR5 memory, and NVMe storage driving wallet share. Electrical back-up systems such as 30 MW lithium-ion farms now feature in standard bill-of-materials. Software & Services is rising at 27.1% CAGR, reflecting demand for AI-driven resource orchestration that yields power and rack-density gains.  

Security stacks integrated with zero-trust frameworks outpace baseline monitoring tools as multi-tenant AI workloads elevate risk profiles. Over the forecast period, automated workload placement is projected to defer 8-10 GW of new build by maximizing existing utilization—underscoring a shift from brute-force expansion to intelligent capacity management.

By Tier: Tier IV Gains Momentum on Mission-Critical Use Cases

Tier III continues to dominate at 65.4% share, forming the backbone of the hyperscale data center market. Replicable 60 MW blueprints leveraging N+1 topologies minimize construction risk and enable sub-USD 8 million per MW build costs worldwide. Nevertheless, Tier IV capacity is projected to surge at 29.4% CAGR as fintech and healthcare workloads migrate off legacy mainframes.  

Institutions pursuing instant settlement or high-frequency genomic analysis cannot tolerate the 95-minute annual downtime permitted under Tier III. Consequently, operators integrate 2N architecture, fault-tolerant distribution, and active-active cooling loops even though opex rises by 15-18%. This architectural premium is offset by higher contractual rates and low churn, anchoring predictable cash flows for owners.

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By End-User Industry: Healthcare Surge Challenges Cloud Provider Hegemony

Cloud Service Providers still represent 75.6% of 2024 demand, leveraging global availability zones for platform consistency. Growth, however, is tilting toward specialist verticals. Healthcare & Life Sciences is advancing at a 26.2% CAGR as HIPAA and GDPR carve-outs accelerate dedicated infrastructure leasing.  

Genome-sequencing projects, radiology AI, and tele-surgery streams require local data residency and sub-50 ms latency, factors better served by regionally distributed hyperscale campuses than by distant mega-hubs. Parallel upticks in public-sector and defense segments, driven by FedRAMP modernization, widen the addressable base beyond the traditional cloud cohort.

Geography Analysis

North America generated the largest regional revenue, accounting for 43.3% of the hyperscale data center market in 2024. Virginia’s “Data Center Alley” alone cleared 2 GW of new substation requests last year, yet grid congestion now steers demand to Ohio, Pennsylvania, and North Carolina where Amazon is injecting USD 30 billion across multiple AI-ready campuses. Utility interconnection timelines stretching up to seven years are prompting inter-regional diversity strategies and renewable power purchase agreements that hedge carbon exposure.

Asia-Pacific is the clear growth engine with a projected 29.1% CAGR. Japan anchors investment on the back of AWS’s JPY 2.26 trillion (USD 15.1 billion) expansion, while Oracle and NTT add capacity to meet domestic AI and gaming workloads. India’s tax incentives and digital-public-goods framework propel nationwide hyperscale corridors from Mumbai to Hyderabad. Singapore, despite a temporary moratorium, re-opened its approvals under a sustainability scorecard, unlocking fresh Tier IV pipeline to service ASEAN fintech flows.

Europe enjoys steady inflows, bolstered by sovereignty mandates and Nordic renewables. Brookfield’s USD 10 billion Swedish campus and Google’s EUR 600 million (USD 650 million) Norwegian build illustrate how cool climates and green grids cut operational PUE below 1.15. Heat taxes in the Netherlands and power caps around Dublin create supply discipline, nudging operators toward continental tier-two cities. Future growth hinges on harmonizing environmental constraints with the Digital Decade’s cloud adoption targets.

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Competitive Landscape

The top five providers—Amazon, Microsoft, Google, Meta, and Alibaba—control roughly 60% of installed hyperscale megawatts, yielding significant economies of both design and procurement. Their vertically integrated models bundle IaaS, PaaS, and colocation, blurring traditional boundaries and exerting pricing pressure on standalone hosts. Nonetheless, regional specialists such as Green Mountain, atNorth, and ST Telemedia leverage local incentives, renewable guarantees, and proximity cooling to win sovereign-cloud and edge workloads.

Technology differentiation is accelerating. Google’s immersion and direct-to-chip cooling for 1 MW racks grants a 30% energy-efficiency delta versus legacy air-cooled peers. Microsoft invests in small-modular-reactor PPAs to lock long-term zero-carbon baseload, a strategic move to shield from volatile energy markets. Equipment vendors respond with integrated liquid manifolds and 800 G switch fabrics, helping operators push toward 100 kW-per-rack densities without floor-space inflation.

Capital formation stays vibrant. Private-equity houses and infrastructure funds rotate from stabilized telecom towers into hyperscale pipelines, lured by 20-year triple-net contracts and index-linked escalators. Vantage, DigitalBridge, and Brookfield headline multi-billion-dollar raises earmarked for brownfield expansion and greenfield megacampuses in Europe and North America. Meanwhile, geopolitical risk management drives a two-supply-chain model, with U.S. and Chinese hyperscalers cultivating parallel vendors to mitigate export-control uncertainty.

Hyperscale Datacenter Industry Leaders

  1. Digital Realty Trust, Inc.

  2. Equinix, Inc.

  3. Amazon Web Services, Inc.

  4. NTT Ltd.

  5. CyrusOne Inc.

  6. *Disclaimer: Major Players sorted in no particular order
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Recent Industry Developments

  • June 2025: Amazon announced USD 10 billion investment in North Carolina data centers to expand AI infrastructure, creating 500 high-skilled jobs and establishing a Southeast AI hub.
  • June 2025: Brookfield Asset Management committed USD 10 billion to develop AI data center infrastructure in Sweden over 10-15 years, including a 750 MW facility in Strangnas.
  • June 2025: Amazon revealed plans to invest AU 20 billion (USD 13.2 billion) in Australian data center infrastructure from 2025-2029, marking the country’s largest technology investment.
  • May 2025: BSO unveiled DataOne, Europe’s first giga-scale AI hosting data center in France, expanding from 15 MW to 400 MW by 2028.

Table of Contents for Hyperscale Datacenter Industry Report

1. INTRODUCTION

  • 1.1 Study Assumptions and Market Definition
  • 1.2 Scope of the Study

2. RESEARCH METHODOLOGY

3. EXECUTIVE SUMMARY

4. MARKET LANDSCAPE

  • 4.1 Market Overview
  • 4.2 Market Drivers
    • 4.2.1 Exploding GPU-centric AI/ML Workloads Requiring more than 50 kW Racks in the U.S. and China drives the market
    • 4.2.2 Hyperscale Cloud Providers’ 'Sovereign Cloud' Roll-outs in Europe Drives the Market
    • 4.2.3 FinTech Real-Time Payment Mandates Accelerating Tier IV Demand in Singapore and India Drives the Market
    • 4.2.4 5G Edge-Core Consolidation Creating Regional Hub Requirements in Nordics and Oceania Drives the Market
  • 4.3 Market Restraints
    • 4.3.1 Water-Usage Restrictions for Evaporative Cooling in Western U.S. and Spain
    • 4.3.2 GPU Supply Chain Bottlenecks Limiting Rack-Level Density Expansion
    • 4.3.3 Rising Heat-Tax and Carbon Levies in Netherlands, Singapore and Germany Hinders the Market
  • 4.4 Value-Chain Analysis
  • 4.5 Regulatory and Compliance Outlook
  • 4.6 Technological Outlook (Liquid Cooling, Direct-to-Chip, Modular Builds)
  • 4.7 Assessment of Macro Economic Trends on the Market
  • 4.8 Porter’s Five Forces Analysis
    • 4.8.1 Bargaining Power of Suppliers
    • 4.8.2 Bargaining Power of Buyers
    • 4.8.3 Threat of New Entrants
    • 4.8.4 Threat of Substitutes
    • 4.8.5 Competitive Rivalry

5. MARKET SIZE AND GROWTH FORECASTS (VALUES)

  • 5.1 By Data Center Type
    • 5.1.1 Enterprise / Hyperscale Self-build
    • 5.1.2 Hyperscale Colocation
  • 5.2 By Component
    • 5.2.1 IT Infrastructure
    • 5.2.2 Electrical Infrastructure
    • 5.2.3 Mechanical and Cooling Infrastructure
    • 5.2.4 Software and Services
  • 5.3 By Tier Standard
    • 5.3.1 Tier III
    • 5.3.2 Tier IV
  • 5.4 By End-user Industry
    • 5.4.1 Cloud Service Providers
    • 5.4.2 BFSI
    • 5.4.3 Social Media and Digital Content
    • 5.4.4 Healthcare and Life Sciences
    • 5.4.5 Government and Public Sector
    • 5.4.6 Other End-user Industries
  • 5.5 By Geography
    • 5.5.1 North America
    • 5.5.1.1 United States
    • 5.5.1.2 Canada
    • 5.5.1.3 Mexico
    • 5.5.2 Europe
    • 5.5.2.1 United Kingdom
    • 5.5.2.2 Germany
    • 5.5.2.3 Netherlands
    • 5.5.2.4 France
    • 5.5.2.5 Ireland
    • 5.5.2.6 Rest of Europe
    • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 India
    • 5.5.3.3 Singapore
    • 5.5.3.4 Japan
    • 5.5.3.5 Australia
    • 5.5.3.6 Indonesia
    • 5.5.3.7 Rest of Asia-Pacific
    • 5.5.4 South America
    • 5.5.4.1 Brazil
    • 5.5.4.2 Chile
    • 5.5.4.3 Rest of South America
    • 5.5.5 Middle East
    • 5.5.5.1 United Arab Emirates
    • 5.5.5.2 Saudi Arabia
    • 5.5.5.3 Turkey
    • 5.5.5.4 Rest of Middle East
    • 5.5.6 Africa
    • 5.5.6.1 South Africa
    • 5.5.6.2 Nigeria
    • 5.5.6.3 Rest of Africa

6. COMPETITIVE LANDSCAPE

  • 6.1 Market Concentration
  • 6.2 Strategic Moves
  • 6.3 Market Share Analysis
  • 6.4 Company Profiles {(includes Global level Overview, Market level overview, Core Segments, Financials as available, Strategic Information, Market Rank/Share for key companies, Products and Services, and Recent Developments)}
    • 6.4.1 Digital Realty Trust, Inc.
    • 6.4.2 Equinix, Inc.
    • 6.4.3 CyrusOne Inc.
    • 6.4.4 NTT Ltd.
    • 6.4.5 Quality Technology Services (QTS)
    • 6.4.6 Vantage Data Centers LLC
    • 6.4.7 Amazon Web Services, Inc.
    • 6.4.8 Microsoft Corporation
    • 6.4.9 Alphabet Inc. (Google)
    • 6.4.10 Meta Platforms Inc.
    • 6.4.11 Alibaba Group Holding Ltd.
    • 6.4.12 Tencent Holdings Ltd.
    • 6.4.13 Baidu, Inc.
    • 6.4.14 Oracle Corporation
    • 6.4.15 International Business Machines Corp.
    • 6.4.16 Switch, Inc.
    • 6.4.17 STACK Infrastructure
    • 6.4.18 Flexential Corp.
    • 6.4.19 Iron Mountain Data Centers
    • 6.4.20 OVHcloud

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment
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Research Methodology Framework and Report Scope

Market Definitions and Key Coverage

Our study defines the hyperscale data center market as global revenue generated by facilities housing at least 5,000 servers and delivering more than 20 MW of critical IT load; coverage spans construction outlays, refresh hardware, facility software, and managed operations that support cloud, AI, and other high-throughput digital workloads.

Scope Exclusion: We exclude edge locations below 10 MW, legacy carrier hotels, and containerized micro-sites located inside enterprise campuses.

Segmentation Overview

  • By Data Center Type
    • Enterprise / Hyperscale Self-build
    • Hyperscale Colocation
  • By Component
    • IT Infrastructure
    • Electrical Infrastructure
    • Mechanical and Cooling Infrastructure
    • Software and Services
  • By Tier Standard
    • Tier III
    • Tier IV
  • By End-user Industry
    • Cloud Service Providers
    • BFSI
    • Social Media and Digital Content
    • Healthcare and Life Sciences
    • Government and Public Sector
    • Other End-user Industries
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • Europe
      • United Kingdom
      • Germany
      • Netherlands
      • France
      • Ireland
      • Rest of Europe
    • Asia-Pacific
      • China
      • India
      • Singapore
      • Japan
      • Australia
      • Indonesia
      • Rest of Asia-Pacific
    • South America
      • Brazil
      • Chile
      • Rest of South America
    • Middle East
      • United Arab Emirates
      • Saudi Arabia
      • Turkey
      • Rest of Middle East
    • Africa
      • South Africa
      • Nigeria
      • Rest of Africa

Detailed Research Methodology and Data Validation

Primary Research

Our analysts interviewed facility design engineers, switchgear manufacturers, and colocation sales leads across North America, Europe, and Asia-Pacific to confirm build-cost per megawatt, density targets, and liquid-cooling timelines. Short surveys of cloud tenants cross-checked workload growth expectations.

Desk Research

We began by mining U.S. EIA and Eurostat power data, Synergy Research hyperscale counts, and Singapore IMDA filings to anchor installed megawatts and utilization. Briefs from Uptime Institute helped calibrate average PUE and rack-density migration.

Operator 10-Ks, D&B Hoovers financials, and Factiva news feeds revealed current capex, while Questel patent sweeps flagged cooling innovations. Company decks and trade association portals rounded out context; the list is illustrative only.

Market-Sizing & Forecasting

We start with a top-down rebuild of operator capex and live megawatt inventory, converting those inputs to revenue through regional build-cost curves and refresh cycles. Sampled server shipments, indicative lease rates, and OEM ASPs act as bottom-up checks. Key drivers, capex intensity, rack density, PUE, quarterly megawatt adds, and land-power access feed a multivariate regression that projects five years forward. Missing OEM data are bridged through moving averages.

Data Validation & Update Cycle

Every output passes variance checks against third-party indices, followed by senior review; experts are re-contacted when deviations exceed set thresholds. We refresh the model annually and issue interim updates whenever multi-gigawatt campus announcements or regulatory shifts materially move baselines.

Why Mordor's Hyperscale Datacenter Baseline Stands Solid

Published estimates vary widely; buyers deserve to know why ours differs.

Mordor's disciplined scope, yearly refresh cadence, and blended modeling provide a figure stakeholders can trust. External studies often fold retrofit spend, limit coverage to hardware, or skip Asia-Pacific, producing 2024 values that range from USD 24.54 billion to USD 162.79 billion.

Benchmark comparison

Market Size Anonymized source Primary gap driver
USD 167.34 B (2025) Mordor Intelligence -
USD 162.79 B (2024) Global Consultancy A Combines retrofit and construction spend without adjusting for service revenue overlap
USD 44.89 B (2024) Trade Journal B Captures only hardware sales, excludes software, services, and Asia-Pacific capacity
USD 24.54 B (2024) Industry Analyst C Limits scope to new server shipments and omits colocation halls

The comparison shows that when clear scope, updated inputs, and blended modeling are applied, Mordor delivers a balanced, transparent baseline that strategy teams can replicate and stress-test with confidence.

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Key Questions Answered in the Report

What is the current size of the hyperscale data center market?

The hyperscale data center market is valued at USD 167.34 billion in 2025.

How fast is the hyperscale data center market expected to grow?

It is projected to post a 23.58% CAGR, reaching USD 602.39 billion by 2030.

Which region is growing the fastest in hyperscale data centers?

Asia-Pacific is forecast to grow at a 29.1% CAGR through 2030, powered by Japanese, Indian, and Australian build-outs.

Why are Tier IV facilities gaining traction?

Fintech real-time payment mandates and stringent healthcare uptime requirements demand 99.995% availability, elevating Tier IV investment.

What cooling technologies are becoming standard for AI workloads?

Direct-to-chip liquid cooling and immersion systems are replacing air cooling to handle racks exceeding 50 kW power density.

How are sovereign-cloud regulations influencing build decisions?

They force hyperscalers to construct dedicated, locally staffed facilities inside target jurisdictions, particularly across Europe.

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