Spain Artificial Intelligence (AI) Data Center Market Size and Share

Spain Artificial Intelligence (AI) Data Center Market Summary
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Spain Artificial Intelligence (AI) Data Center Market Analysis by Mordor Intelligence

The Spain artificial intelligence data center market reached a value of USD 1.98 billion in 2025 and is projected to climb to USD 3.65 billion by 2030, translating into a firm 13.04% CAGR over the forecast period. This Spain artificial intelligence data center market size expansion reflects more than USD 23 billion in hyperscaler capital already committed, with AWS, Microsoft and Oracle anchoring large-scale roll-outs underpinned by sovereign-cloud mandates and stringent GDPR compliance requirements. Demand is amplified by the rapid shift to GPU-dense architectures, sustained public incentives totaling EUR 1.5 billion under the Spanish AI Strategy 2024 and a pronounced turn toward renewable-backed power purchase agreements (PPAs) that lower lifetime operating costs. Cloud service providers currently dominate capacity additions, yet enterprise edge build-outs are rising as 5G proliferation and latency-sensitive AI inference workloads take hold. At the component level, software retains the largest revenue share, but hardware accelerates the fastest as operators deploy liquid-cooled racks and 200-400 G switch fabrics. Regional disparities persist: Madrid concentrates the bulk of IT power, Aragón offers the largest development pipeline and Barcelona attracts colocation expansions despite grid constraints.

Key Report Takeaways

  • By data center type, cloud service providers led the Spanish artificial intelligence data center market with 55.82% of the market share in 2024, whereas colocation data centers are expected to advance at a 15.83% CAGR through 2030.
  • By component, software accounted for 45.83% of the Spain artificial intelligence data center market size in 2024, whereas hardware is advancing at a 15.70% CAGR through 2030.
  • By tier standard, Tier IV facilities held a 61.63% share of the Spanish artificial intelligence data center market size in 2024, while Tier III is growing at a 16.04% CAGR through 2030.
  • By end-user industry, IT and ITES captured 33.82% of Spain's artificial intelligence data center market share in 2024, with the internet and digital media sector forecasted to expand at a 15.91% CAGR to 2030.

Segment Analysis

By Data Center Type: Cloud Providers Lead Sovereign Shift

Cloud service providers held 55.82% of Spain artificial intelligence data center market share in 2024, banking on hyperscaler roll-outs that dominate total megawatt deployments. This segment benefits directly from sovereign mandates that oblige public workloads to remain within national borders. Enterprise customers, particularly in finance and healthcare, migrate AI applications to these locally hosted hyperscale regions to meet data-sovereignty rules, deepening revenue visibility for operators. Colocation data centers, though smaller in installed base, are projected to register a 15.83% CAGR, driven by hybrid-cloud strategies that blend on-premises control with hyperscaler economics. Platform-neutral providers emphasize compliance certifications, inter-metro connectivity and on-demand GPU availability to capture workloads unsuited for single-tenant clouds within the Spain artificial intelligence data center market.

A third growth locus lies in enterprise/on-premises/edge facilities. Vodafone intends to reach 100 edge sites by the end of 2025, bringing inference capabilities closer to users and shaving milliseconds from application response times. Industrial and telecom verticals adopt micro-modular designs that slot into factories and cell-tower compounds, leveraging existing power and fiber. Although each installation is sub-megawatt, the aggregated footprint lifts demand for AI-tuned monitoring software, remote-hands services and regional interconnects. As a result, cloud, colocation and edge form a complementary stack that collectively defines the Spain artificial intelligence data center market landscape through 2030.

Spain Artificial Intelligence (AI) Data Center Market: Market Share by Data Center Type
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By Component: Software Dominance Meets Hardware Acceleration

Software generated 45.83% of 2024 spending as organizations prioritized AI model orchestration, natural-language processing and computer-vision frameworks on top of containerized environments. Deep-learning libraries such as PyTorch and TensorFlow require frequent updates and specialist tuning, creating annuity-like revenue streams for managed-service providers. Nevertheless, the hardware segment is where the fastest value growth emerges, with a 15.70% CAGR driven by GPU clusters and custom inference ASICs. Operators like EDGNEX design data halls around direct-to-chip liquid cooling, enabling rack densities of up to 120 kW, and thereby unlocking new colocation pricing tiers tied to power draw rather than floor area.

Power and cooling infrastructure investments also swell as facilities integrate 2N electrical feeds, lithium-ion battery storage and outside-air economizers to meet sustainability targets. These subsystems now account for more than one-third of total build cost, reflecting both regulatory pressure and investor due-diligence criteria tied to environmental, social and governance (ESG) metrics. In tandem, service overlays ranging from predictive maintenance to cybersecurity continue to monetize the deployed base, ensuring that the Spain artificial intelligence data center market size for services keeps pace with physical capacity growth.

By Tier Standard: Tier IV Reliability Meets Edge Flexibility

Tier IV facilities represented 61.63% of Spain artificial intelligence data center market size in 2024 as banking, healthcare and government buyers insisted on concurrently maintainable sites and fault-tolerant design. Redundant utility feeds, dual transformer yards and hot-aisle containment remain non-negotiable for AI workloads that drive real-time fraud detection or medical imaging diagnostics. These attributes command premium pricing and sustain higher revenue per square foot, reinforcing a reliability-based competitive moat for incumbent operators in major metros.

Tier III deployments, in contrast, are forecast to pace the market at 16.04% CAGR as edge nodes and cost-sensitive enterprise workloads accept slightly lower redundancy in exchange for accelerated delivery. The Nokia-backed 400 G IXP upgrade equips Tier III sites with network-level resilience that closes much of the perceived reliability gap. In rural Aragón, fast-track Tier III shells can be erected in under 12 months, catering to hyperscalers that capex-stage large campuses. Taken together, the dual-track trajectory in tier preferences underscores how the Spain artificial intelligence data center market balances uptime imperatives with capital efficiency.

Spain Artificial Intelligence (AI) Data Center Market: Market Share by Tier Standard
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By End-User Industry: IT Sector Leads Digital Transformation

IT and ITES enterprises captured 33.82% of 2024 revenue as software vendors and system integrators sought low-latency AI development sandboxes. Many adopt dedicated cages inside multi-tenant facilities to satisfy client compliance audits yet still benefit from cloud-like elasticity. Internet and Digital Media companies, spanning streaming, social networks and gaming, will record the highest 15.91% CAGR through 2030, propelled by recommendation engines and generative-content pipelines that thrive on massive GPU clusters. These firms gravitate toward Madrid and Barcelona, tapping into Spain’s sub-30 ms round-trip latency to Western Europe’s densest internet exchanges, thus elevating the Spain artificial intelligence data center market’s profile among content distributors.

BFSI players ramp AI-enabled risk scoring and algorithmic trading, with BBVA’s Google Cloud Spain deployment serving as proof of concept for regulated multi-cloud. Healthcare and life-science stakeholders invest in diagnostic imaging AI, leveraging MareNostrum 5’s supercomputing nodes for complex simulations. Manufacturing and industrial IoT users demand edge-embedded inference for quality assurance and predictive maintenance, while government and defense initiate sovereign AI projects covering language translation and border-security analytics. Telecom operators, finally, underpin network-wide 5G optimization and customer chatbots, thereby diversifying the Spain artificial intelligence data center industry revenue pool.

Geography Analysis

Madrid towers above all domestic peers, projecting 792 MW of installed IT power by 2030 as AWS, Microsoft and Oracle deepen capital commitments and the national AI strategy channels public funds into local research clusters. A dense fiber mesh, well-developed grid sub-stations and a growing talent pipeline foster a positive feedback loop that attracts secondary providers and niche service firms alike. Power-purchase agreements tied to solar plants in Castilla-La Mancha further enhance sustainability credentials, advantages that buoy the Spain artificial intelligence data center market visibility among foreign investors.

Barcelona, although trailing in grid headroom, expands colocation white space by 68% year-to-date and is on track to reach EUR 124.8 million in revenue by 2025. The city benefits from cross-border fiber to Marseille and Frankfurt, positioning it as a Mediterranean gateway for pan-European AI traffic. Developers are offsetting power constraints through onsite sub-stations and district-cooling partnerships that slash water consumption. These improvements unlock incremental capacity, keeping Barcelona relevant within the Spain artificial intelligence data center market map despite structural bottlenecks.

Aragón has emerged as Europe’s largest hyperscaler cluster outside Ireland, with over 1,800 MW in the pipeline including Microsoft’s multi-campus build and QTS’s 300 MW Calatorao project. Liberal land-use policies, abundant wind-solar resources and low population density simplify permitting and mitigate community opposition. Neighboring regions such as Cantabria and Extremadura absorb overflow demand spurred by Barcelona and Valencia grid saturation, yet their aggregate impact remains supplemental to the Madrid-Barcelona-Aragón corridor that accounts for the overwhelming bulk of Spain artificial intelligence data center market capacity.

Competitive Landscape

The Spain artificial intelligence data center market tilts toward moderate consolidation: AWS, Microsoft and Oracle control an estimated 60% of projected capacity additions through 2030, leveraging first-mover advantage in sovereign cloud contracts and hyperscale economics. Traditional colocation specialists such as Equinix, Digital Realty and Global Switch differentiate through metro-connectivity fabrics, cross-connect ecosystems and specialized compliance offerings for AI workloads. Nabiax and EDGNEX chase high-density, GPU-ready suites, carving niches inside Tier III shells that support faster time-to-market for enterprise tenants.

Spanish infrastructure giants are entering forcefully. ACS has announced intentions to invest between EUR 6 billion and EUR 12 billion in data center assets, while Iberdrola is scouting partners to co-develop renewable-backed campuses. These moves inject long-dated infrastructure capital and engineering know-how, intensifying competition and potentially compressing yields. Technology rivalry focuses on cooling efficiency: liquid-immersion, rear-door heat exchangers and waste-heat reuse are now table stakes for bids targeting AI clusters.

Regulatory hurdles shape strategy. Royal Decree-Law 8/2023 introduces competitive bidding for new grid connections, implicitly favoring operators with strong balance sheets and proven construction discipline. Sustainability metrics, notably 100% renewable PPAs and low Water Usage Effectiveness (WUE) scores, are becoming decisive factors in public and enterprise RFPs. Against this backdrop, M&A activity, exemplified by the Nabiax sales process involving Goldman Sachs Asset Management and international funds, is poised to rise as investors seek scale and geographic diversification, consolidating the Spain artificial intelligence data center industry.

Spain Artificial Intelligence (AI) Data Center Industry Leaders

  1. IBM Corporation

  2. Amazon Web Services Inc.

  3. Microsoft Ireland Operations Ltd.

  4. Alphabet Inc. (Google Cloud Spain SL)

  5. Meta Platforms Inc.

  6. *Disclaimer: Major Players sorted in no particular order
Spain Artificial Intelligence (AI) Optimised Data Center Market Concentration
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Recent Industry Developments

  • April 2025: Spanish telecom carriers deploy backup generators during nationwide outages, with Vodafone operating at 70% capacity, spotlighting grid reliability issues for data centers.
  • March 2025: Microsoft announced that it is expanding its data center operations in Spain. The Aragon government announced that Microsoft will invest an additional USD 3 billion to build a new data center campus in Zaragoza, near Puerto Venecia. The company also plans to invest USD 2.1 billion in cloud computing and AI infrastructure in Spain over the next two years.
  • March 2025: Microsoft unveils an additional campus in Zaragoza within its EUR 10 billion Aragón program, reinforcing Spain’s largest hyperscaler cluster.
  • March 2025: Google signs a 35 MW wind PPA with Exus Renewables, its third Spanish renewable agreement of 2025.

Table of Contents for Spain Artificial Intelligence (AI) Data Center 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 PESTEL Analysis
  • 4.3 Market Drivers
    • 4.3.1 AI-tailored cloud build-outs by hyperscalers
    • 4.3.2 Rising adoption of sovereign-cloud and data-residency compliance
    • 4.3.3 Accelerated roll-out of 200-400 G switch fabrics
    • 4.3.4 Surging deployment of AI training clusters in Madrid region
    • 4.3.5 Availability of 100 % renewable PPAs in Iberia
    • 4.3.6 Tax incentives on battery-based energy-storage integration
  • 4.4 Market Restraints
    • 4.4.1 Grid congestion in Barcelona and Valencia metros
    • 4.4.2 Heightened water-use restrictions in drought-prone provinces
    • 4.4.3 Rising construction-material inflation after 2024
    • 4.4.4 Limited domestic talent pool for AI-optimized facility O and M
  • 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-Optimized 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

  • 5.1 By Data Center Type
    • 5.1.1 Cloud Service Providers
    • 5.1.2 Colocation Data Centers
    • 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
    • 5.2.2.1 Technology
    • 5.2.2.2 Machine Learning
    • 5.2.2.3 Deep Learning
    • 5.2.2.4 Natural Language Processing
    • 5.2.2.5 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 III
    • 5.3.2 Tier IV
  • 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

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 Amazon Web Services Inc.
    • 6.4.2 Microsoft Ireland Operations Ltd.
    • 6.4.3 Alphabet Inc. (Google Cloud Spain SL)
    • 6.4.4 Meta Platforms Inc.
    • 6.4.5 Equinix Inc.
    • 6.4.6 Digital Realty Trust Inc. (Interxion España SAU)
    • 6.4.7 Global Switch Holdings Ltd.
    • 6.4.8 NTT Global Data Centers EMEA SL
    • 6.4.9 Telehouse Iberia SL
    • 6.4.10 OVH Groupe SA
    • 6.4.11 EdgeConneX Inc.
    • 6.4.12 Nabiax (Asterion Industrial Partners)
    • 6.4.13 Merlin Properties SOCIMI SA
    • 6.4.14 DATA4 Group SA
    • 6.4.15 Kyndryl España S.A.
    • 6.4.16 IBM Corporation
    • 6.4.17 Telefónica SA
    • 6.4.18 Colt Technology Services Ltd.
    • 6.4.19 Orange Espagne SAU
    • 6.4.20 Advania AB (Spain)

7. MARKET OPPORTUNITIES AND FUTURE OUTLOOK

  • 7.1 White-space and Unmet-Need Assessment
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Spain Artificial Intelligence (AI) Data Center Market Report Scope

The research encompasses the full spectrum of AI applications in data centers, covering hyperscale, colocation, enterprise, and edge facilities. The analysis is segmented by component, distinguishing between hardware and software. Hardware considerations include power, cooling, networking, IT equipment, and more. Software technologies under scrutiny encompass machine learning, deep learning, natural language processing, and computer vision. The study also evaluates the geographical distribution of these applications. Additionally, it assesses AI's influence on sustainability and carbon neutrality objectives. A comprehensive competitive landscape is presented, detailing market players engaged in AI-supportive infrastructure, encompassing both hardware and software utilized across various AI data center types. Market size is calculated in terms of revenue generated by products and solutions providers in the market and forecasts are presented in USD Million for each segment.

By Data Center Type
Cloud Service Providers
Colocation Data Centers
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 III
Tier IV
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 Data Center Type Cloud Service Providers
Colocation Data Centers
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 III
Tier IV
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
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Key Questions Answered in the Report

What is the current value of the Spain artificial intelligence data center market?

The market is valued at USD 1.98 billion in 2025 and is on course to hit USD 3.65 billion by 2030.

Which segment holds the largest Spain artificial intelligence data center market share?

Cloud service providers lead with 55.82% share based on 2024 figures.

Which Spanish region houses the biggest pipeline of hyperscaler capacity?

Aragón hosts more than 1,800 MW of planned IT power, the largest concentration outside Ireland.

What CAGR is forecast for hardware spending within Spain’s AI data centers?

Hardware revenue is set to grow at 15.70% CAGR through 2030.

Why are Tier III facilities expanding faster than Tier IV in Spain?

Edge computing needs and lower build costs drive a 16.04% CAGR for Tier III, while network upgrades offset most reliability gaps.

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