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Europe Artificial Intelligence (AI) Data Center - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026-2031)

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    Report

  • 161 Pages
  • August 2026
  • Region: Europe
  • Mordor Intelligence
  • ID: 6264715
The european artificial intelligence data center market size was valued at USD 17.39 billion in 2025 and estimated to grow from USD 21.67 billion in 2026 to reach USD 65.18 billion by 2031, at a CAGR of 24.65% during the forecast period (2026-2031). This report is Segmented by Data Center Type (Cloud Service Providers, Colocation Data Centers, and More), Component (Hardware, Software Technology, and Services), Tier Standard (Tier 3 and Tier 4), End-User Industry (IT and ITES, Internet and Digital Media, and More), and Country. The Market Forecasts are Provided in Terms of Value (USD).

Europe Artificial Intelligence (AI) Data Center Market Trends and Insights

Surging Demand for Sovereign-AI Compute Clusters across Member States

European governments are funding indigenous computing to reduce their reliance on U.S. hyperscalers, deploying EuroHPC AI Factories that ensure national data residency and isolate classified workloads. France earmarks EUR 500 million for sovereign clusters, and Germany’s IPCEI-CIS scheme adds direct capital grants for exascale facilities. Predictable multi-year offtake contracts emerging from these programs de-risk operator revenue and entice secondary-market entrants. The strategic narrative links compute capacity to economic competitiveness, so policy momentum is unlikely to reverse during the forecast window. Resulting procurement preferences accelerate bookings for operators that hold both security clearances and ISO 27001 certifications, which compress sales cycles for high-density halls.

Accelerated Build-out of 400V Liquid-Ready White Space in FLAP-D

Operators retrofit legacy halls with 400V power distribution and manifold systems that accept direct-to-chip and immersion cooling, eliminating protracted shutdowns required for later upgrades. Ready-made capacity enables enterprises to install NVIDIA H100 or AMD MI300X clusters within 45 days, significantly below the 120-day industry standard. Competitive barriers thus shift from location to electrical design as operators without 400V infrastructure face lost deals when procurement cycles tighten. Financing markets now quantify “liquid-ready” premiums in underwriting models, encouraging rapid regional rollouts. Early movers capitalize on ‘first-available’ advantages that translate into higher rack-density rents and extended contract durations.

Grid-Connection Moratoria in Core Hubs

Amsterdam, Dublin, and Frankfurt municipalities have frozen new data-center power hookups until grid upgrades are completed, sidelining 2.5 GW of queued projects in Amsterdam alone. The policy inflates the asset values of existing high-density spaces and redirects new builds to secondary metropolitan areas, such as Madrid, Milan, and Warsaw, where grid headroom is still available. Hyperscalers grudgingly accept longer fiber backhauls or edge nodes to mitigate added latency. Short-run supply constraints temper the expansion of Europe's artificial intelligence data center market, yet they also raise unit pricing for commissioned megawatts, partially offsetting the lost volume.

Other drivers and restraints analyzed in the detailed report include:

  • EU Green Deal and Carbon Border Adjustment Mechanism
  • Expansion of Offshore Wind and Nuclear SMR Pipelines
  • Severe Skills Gap in High-Density Liquid-Cooling Operations

Segment Analysis

Europe's artificial intelligence data center market size for Cloud Service Providers totaled USD 9.58 billion in 2025, capturing the lion’s share because hyperscalers placed clusters close to financial exchanges and academic networks. Still, colocation facilities added leasing revenue at a 26.35% CAGR, shrinking the cloud premium as enterprises value physical control under GDPR mandates. Many European banks now deploy training nodes within leased suites that feature dedicated cages, encryption at rest, and customer-owned keys, keeping sovereign data onsite while benefiting from shared chilled-water loops.

Colocation’s economics benefit from 400V retrofits, which enable 60 kW racks without structural overhauls, allowing operators to monetize stranded white space faster than hyperscale builds that require greenfield land, new substations, and multi-year permitting cycles. Edge and enterprise segments remain niche, yet micro-data center rollouts inside 5G base stations drive inference workloads supporting autonomous transportation, industrial robotics, and smart city services. Secondary markets, such as Warsaw, see municipalities waive property taxes for edge enclosures that recycle waste heat into district grids, providing operators with incremental revenue through power-purchase credits.

Software retained 45.10% of the European artificial intelligence data center market share in 2025, as firms initially invested in model orchestration layers and ML workflows. Hardware, though, will dominate incremental spending as GPU generations compress into twelve-month cycles, forcing continuous refresh to capture per-watt performance gains. Boards built around NVIDIA H100 and AMD MI300X require copper busbars, blind-mate liquid connectors, and reinforced floors, so capex intensity rises.

Rack-scale designs featuring compute-interconnect fabrics, such as NVLink switchless topologies, reduce latency and training time; however, they also require symmetrical power feeds and active rear-door heat exchangers. Uninterruptible-power-supply makers offer lithium-ion cabinets rated for 15-year lifespans, aligning with sustainability reporting requirements under EU taxonomy. Services revenue grows as system integrators bundle firmware tuning, cluster partitioning, and carbon-accounting dashboards that big banks and telcos now mandate.

Complete Report Scope:

  • By Data Center Type
    • Cloud Service Providers
    • Colocation Data Centres
    • Enterprise / On-Premises / Edge
  • By Component
    • Hardware
      • Power Infrastructure
      • Cooling Infrastructure
      • IT Equipment
      • Racks and Other Hardware
    • Software Technology
      • Machine Learning
      • Deep Learning
      • Natural Language Processing
      • Computer Vision
    • Services
      • Managed Services
      • Professional Services
  • By Tier Standard
    • Tier 3
    • Tier 4
  • By End-user Industry
    • IT and ITES
    • Internet and Digital Media
    • Telecom Operators
    • Banking, Financial Services and Insurance (BFSI)
    • Healthcare and Life Sciences
    • Manufacturing and Industrial IoT
    • Government and Defense
  • By Country
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe

List of Companies Covered in this Report:

  • NVIDIA Corporation
  • Advanced Micro Devices, Inc.
  • Intel Corporation
  • Arm Ltd.
  • Graphcore Ltd.
  • SiPearl SAS
  • Cerebras Systems
  • SambaNova Systems
  • Tenstorrent Inc.
  • Schneider Electric SE
  • Vertiv Group Corp.
  • ABB Ltd.
  • Rittal GmbH and Co. KG
  • Eaton Corporation plc
  • Alfa Laval Corporate AB
  • Green Revolution Cooling, Inc.
  • Submer Technologies SL
  • Iceotope Technologies Ltd.
  • Stulz GmbH
  • Asetek A/S
  • Sunbird Software, Inc.
  • Nlyte Software Ltd. (Carrier)
  • Cisco Systems, Inc.
  • Siemens AG
  • Eviden SE (Atos Group)
  • Future Facilities Ltd. (6SigmaDCX)

Additional Benefits:

  • The market estimate (ME) sheet in Excel format
  • 3 months of analyst support

Table of Contents

1 INTRODUCTION
1.1 Study Assumptions and Market Definition
1.2 Scope of the Study
2 RESEARCH METHODOLOGY3 EXECUTIVE SUMMARY
4 MARKET LANDSCAPE
4.1 Market Overview
4.2 PESTEL Analysis
4.3 Market Drivers
4.3.1 Surging Demand for Sovereign-AI Compute Clusters across EU Member-States
4.3.2 Accelerated Build-out of 400 V Liquid-Ready White-Space in FLAP-D Markets
4.3.3 EU Green Deal and Carbon Border Adjustment Mechanism Driving Low-Carbon AI Power Sourcing
4.3.4 Expansion of Offshore-Wind and Nuclear SMR Pipelines Enabling Carbon-Free AI Compute
4.3.5 Availability of Horizon-Europe and IPCEI Grants for Exascale GPU Infrastructure
4.3.6 Rapid Uptake of AI-Driven Energy-Optimization Platforms among European Colo and Cloud Operators
4.4 Market Restraints
4.4.1 Grid-Connection Moratoria in Amsterdam, Dublin and Frankfurt Hubs
4.4.2 Severe Skills Gap in High-Density Liquid-Cooling Operations across CEE and Mediterranean Regions
4.4.3 Stringent EU Taxonomy and BREF Requirements Increasing Time-to-Permit for New Campuses
4.4.4 High CAPEX of Two-Phase Immersion Retrofits in Legacy Tier III Sites
4.5 Impact on Sustainability and Carbon-Neutral Energy Goals
4.5.1 Sustainable Power Source and Management
4.5.1.1 Renewable vs Non-Renewable Sources of Power (Green DCs and AI Innovations)
4.5.1.2 Carbon-Footprint Reduction (Heat Pumps, District Cooling and Heating, others)
4.5.2 Sustainable Cooling Solutions and Management
4.5.2.1 Efficient Cooling Solutions for AI-Optimised DCs
4.5.2.2 PUE Ratio, WUE Ratio - Analysis
4.6 Industry Ecosystem Analysis
4.7 Regulatory or Technological Outlook
4.8 Porter's Five Forces Analysis
4.8.1 Threat of New Entrants
4.8.2 Bargaining Power of Suppliers
4.8.3 Bargaining Power of Buyers
4.8.4 Threat of Substitutes
4.8.5 Intensity of Competitive Rivalry
5 MARKET SIZE AND GROWTH FORECASTS (VALUE)
5.1 By Data Center Type
5.1.1 Cloud Service Providers
5.1.2 Colocation Data Centres
5.1.3 Enterprise / On-Premises / Edge
5.2 By Component
5.2.1 Hardware
5.2.1.1 Power Infrastructure
5.2.1.2 Cooling Infrastructure
5.2.1.3 IT Equipment
5.2.1.4 Racks and Other Hardware
5.2.2 Software Technology
5.2.2.1 Machine Learning
5.2.2.2 Deep Learning
5.2.2.3 Natural Language Processing
5.2.2.4 Computer Vision
5.2.3 Services
5.2.3.1 Managed Services
5.2.3.2 Professional Services
5.3 By Tier Standard
5.3.1 Tier 3
5.3.2 Tier 4
5.4 By End-user Industry
5.4.1 IT and ITES
5.4.2 Internet and Digital Media
5.4.3 Telecom Operators
5.4.4 Banking, Financial Services and Insurance (BFSI)
5.4.5 Healthcare and Life Sciences
5.4.6 Manufacturing and Industrial IoT
5.4.7 Government and Defense
5.5 By Country
5.5.1 United Kingdom
5.5.2 Germany
5.5.3 France
5.5.4 Italy
5.5.5 Spain
5.5.6 Rest of Europe
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 NVIDIA Corporation
6.4.2 Advanced Micro Devices, Inc.
6.4.3 Intel Corporation
6.4.4 Arm Ltd.
6.4.5 Graphcore Ltd.
6.4.6 SiPearl SAS
6.4.7 Cerebras Systems
6.4.8 SambaNova Systems
6.4.9 Tenstorrent Inc.
6.4.10 Schneider Electric SE
6.4.11 Vertiv Group Corp.
6.4.12 ABB Ltd.
6.4.13 Rittal GmbH and Co. KG
6.4.14 Eaton Corporation plc
6.4.15 Alfa Laval Corporate AB
6.4.16 Green Revolution Cooling, Inc.
6.4.17 Submer Technologies SL
6.4.18 Iceotope Technologies Ltd.
6.4.19 Stulz GmbH
6.4.20 Asetek A/S
6.4.21 Sunbird Software, Inc.
6.4.22 Nlyte Software Ltd. (Carrier)
6.4.23 Cisco Systems, Inc.
6.4.24 Siemens AG
6.4.25 Eviden SE (Atos Group)
6.4.26 Future Facilities Ltd. (6SigmaDCX)
7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK
7.1 White-Space and Unmet-Need Assessment

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • NVIDIA Corporation
  • Advanced Micro Devices, Inc.
  • Intel Corporation
  • Arm Ltd.
  • Graphcore Ltd.
  • SiPearl SAS
  • Cerebras Systems
  • SambaNova Systems
  • Tenstorrent Inc.
  • Schneider Electric SE
  • Vertiv Group Corp.
  • ABB Ltd.
  • Rittal GmbH and Co. KG
  • Eaton Corporation plc
  • Alfa Laval Corporate AB
  • Green Revolution Cooling, Inc.
  • Submer Technologies SL
  • Iceotope Technologies Ltd.
  • Stulz GmbH
  • Asetek A/S
  • Sunbird Software, Inc.
  • Nlyte Software Ltd. (Carrier)
  • Cisco Systems, Inc.
  • Siemens AG
  • Eviden SE (Atos Group)
  • Future Facilities Ltd. (6SigmaDCX)