Authors:
Preeti Wadhwani, Satyam Jaiswal
Download free PDF
Data Center Infrastructure Market Size & Share 2026-2035
Report ID: GMI2580
|
Published Date: August 2026
|
Report Format: PDF/Excel/Dashboard/Platform
Download Free PDF
Explore Our Licensing Options:
Download Free PDF
Data Center Infrastructure Market
Get a free sample of this report
Get a free sample of this report Data Center Infrastructure Market
Is your requirement urgent? Please give us your business email
for a speedy delivery!

Data Center Infrastructure Market Size
The data center infrastructure market was valued at USD 234.2 billion in 2025. It is projected to reach USD 256.2 billion in 2026 and USD 789.8 billion by 2035, a 12.1% CAGR.
Data Center Infrastructure Market Key Takeaways
Market Leader: Dell led with over 14.4% market share in 2025.
Leading Players: Top 5 players in this market include Cisco, Dell, HPE, Schneider Electric, Vertiv, which collectively held a market share of 35.6% in 2025.
The outlook is being set less by conventional server replacement than by a redesign of the facility around AI compute: higher-density racks require more capable power conversion, distribution, thermal management, networking, and controls.
Cloud and AI investment provide the clearest demand signal. Microsoft said it planned to invest about USD 80 billion in AI-enabled data centers in fiscal 2025. [1]Reuters, reuters.com That scale changes the addressable market for infrastructure suppliers because a single hyperscale design decision can cascade into orders for electrical systems, cooling loops, prefabricated modules, and high-speed network equipment across several sites.
Hardware represented about USD 203.9 billion, or 79.6%, of 2025 market revenue; software and services contributed USD 16.0 billion and USD 36.3 billion, respectively. This mix makes physical execution capacity important, but it also exposes growth to utility interconnection, transformer and switchgear availability, construction cost, and the ability to operate increasingly complex power and cooling systems.
GMI Analyst View
The market is entering an infrastructure-constrained growth phase. AI investment raises spend per deployed workload, yet power availability and thermal design determine how quickly that demand can become commissioned capacity. Suppliers that can integrate IT, electrical, cooling, and management layers are better placed than component-only vendors to convert AI commitments into operating facilities; suppliers without qualified high-density designs face a narrower role in a procurement cycle increasingly defined by system compatibility.
Key Drivers
Cloud computing and hyperscale deployment. Cloud infrastructure accounted for USD 115.3 billion, or 45.0%, of 2025 revenue. Hyperscale campuses amplify demand across the equipment stack because the operator must procure compute, network fabric, backup power, distribution, and cooling in coordinated blocks. The commercial advantage therefore shifts toward vendors able to support repeatable designs, qualification cycles, and global field service rather than isolated equipment sales.
AI and machine-learning workloads. AI clusters intensify both electricity delivery and heat rejection requirements. Vertiv and NVIDIA's October 2025 collaboration on 800 VDC platform designs, planned for release in the second half of 2026, illustrates the move toward architectures intended for high-density AI factories. [2]Vertiv Investor Relations, investors.vertiv.com The implication is not that air cooling disappears across the installed base; rather, new AI capacity and major retrofits pull power and cooling spending ahead of traditional IT refresh timing.
Digital transformation in regulated industries. BFSI, healthcare, and government users require resilient processing environments while expanding digital services. The EU Data Act became applicable on September 12, 2024. [3]European Commission, digital-strategy.ec.europa.eu The EU's Digital Operational Resilience Act has applied to financial entities since January 17, 2025. [4]European Securities and Markets Authority, esma.europa.eu These measures do not prescribe one deployment model, but they raise the value of traceable controls, geographic resilience, and infrastructure governance, sustaining demand for both compliant cloud arrangements and retained on-premises capacity.
5G and edge build-out. GSMA Intelligence expects 5G connections to reach 5.5 billion by 2030. [5]GSMA Intelligence, gsma.com Distributed computing is consequently relevant where latency, local processing, or network autonomy matters, including telecom, industrial, retail, and public-sector applications. Verizon's mid-2026 AI Connect disclosure, involving conversion of central offices into smaller facilities suited to AI inference workloads, shows how carriers can repurpose network real estate as an edge-compute asset. [6]Ars Technica, arstechnica.com
Data sovereignty regulations mandating in-country infrastructure investment. Data-localization and resilience obligations make location a procurement parameter, particularly for financial, public-sector, and sensitive-data workloads. In China, the East Data West Computing project comprises eight national computing hubs across eastern and western regions and directs suitable non-latency-sensitive work toward lower-cost western capacity. [7]National Development and Reform Commission, en.ndrc.gov.cn This supports domestic infrastructure investment, while also creating regional variation in the value of low-latency connectivity, energy access, and compliant local operations.
Key Restraints
Power supply constraints and energy costs. Electricity availability is increasingly a gating condition for new capacity. U.S. data centers consumed about 4.4% of national electricity in 2023 and are projected to consume 6.7% to 12% by 2028. [8]U.S. Department of Energy, energy.gov Globally, the IEA expects data-center electricity consumption to rise from roughly 460 TWh in 2022 to about 945 TWh by 2030. [9]International Energy Agency, iea.org These figures make grid capacity, electricity-price exposure, and energy-performance monitoring integral to infrastructure economics rather than secondary site-selection criteria.
High capital expenditure and long payback periods. Construction economics can limit the pace at which announced demand becomes operational capacity. Turner & Townsend's 2025 cost index places leading-market data-center construction costs around the USD 8 million to USD 15 million per MW range, with high-density AI facilities toward the upper end. [10]Turner & Townsend, turnerandtownsend.com Modular systems can reduce sequencing risk and enable staged capacity additions, but they do not eliminate the underlying financing, permitting, electrical-equipment, and utility dependencies.
GMI Analyst View
Demand is strongest where the constraints are most severe. AI raises the revenue opportunity for power and thermal equipment, but it also transfers execution risk to the supplier and operator: a campus without interconnection capacity, compliant energy reporting, or an appropriate cooling design cannot monetize its compute plan. The near-term winners will be those that help customers secure capacity through modular deployment, measurable energy performance, and designs that can evolve from conventional racks to high-density clusters without a full-site rebuild.
Data Center Infrastructure Market Segment Analysis
Component
Hardware remains the economic center of the market, with IT infrastructure valued at about USD 132.5 billion and power infrastructure at USD 40.8 billion in 2025. Servers, storage, and networking capture the direct compute build-out, while UPS systems, generators, PDUs, switchgear, and power-management platforms capture the reliability and density requirements around it. Cooling infrastructure is moving from conventional CRAC/CRAH, chillers, cooling towers, and free-cooling configurations toward a broader design menu that includes direct liquid, immersion, and adiabatic approaches. Support infrastructure-racks, cabling, physical security, and building-management systems-becomes more consequential as operators standardize repeatable high-density modules.
Software remains smaller than hardware but has a strategic role. DCIM, IT management and automation, security and compliance systems, and AI optimization tools allow operators to monitor distributed assets, document performance, and coordinate power and cooling decisions. Professional and managed services benefit where customers lack the expertise to commission, tune, and maintain integrated systems. The result is a growing preference for solutions that combine equipment with controls and lifecycle support instead of treating software as an afterthought.
Deployment
Cloud led deployment revenue at USD 115.3 billion in 2025, followed by hybrid at USD 102.5 billion and on-premises at USD 38.4 billion. Cloud concentrates procurement with hyperscalers and favors repeatable, large-scale designs. Hybrid systems preserve a role for enterprise-owned infrastructure where data location, latency, and workload control matter, while providing access to elastic cloud resources. On-premises investment therefore becomes more selective rather than irrelevant: it is concentrated in workloads for which governance, predictable performance, or local inference justify retained infrastructure.
Tier
Tier 3 represented USD 124.7 billion, or 48.7%, of 2025 revenue. Uptime Institute reports more than 4,300 Tier Certifications across 120+ countries, a record consistent with Tier 3's broad role in concurrently maintainable enterprise and colocation facilities. Tier 4, at USD 91.4 billion, or 35.7%, is used for fault-tolerant designs with 2N or greater redundancy; approximately 99.995% is the commonly cited availability figure, although Uptime emphasizes that simplistic "nines" do not fully define resilience. Tier 1 and Tier 2 retain relevance for less critical or distributed sites, where capital efficiency can outweigh the cost of the highest redundancy levels.
Data Center Type and End Use
Hyperscale campuses shape technical standards even though their spending overlaps with cloud deployment. Enterprise facilities favor controlled migration paths; colocation, valued at USD 58.3 billion, offers organizations outsourced physical resilience while retaining IT control; and edge sites trade scale efficiency for proximity to users and networks. BFSI accounted for USD 24.2 billion, with financial resilience and regulatory control supporting Tier 3 and Tier 4 demand. IT and telecom led end-use revenue at USD 63.5 billion, supported by carrier networks, cloud services, and managed hosting. Energy, government, healthcare, manufacturing, retail and e-commerce, media and entertainment, and other industries differ chiefly in their latency, security, and continuity requirements, which determine the relative appeal of cloud, hybrid, edge, and dedicated infrastructure.
GMI Analyst View
The most important segmentation divide is not simply cloud versus on-premises; it is whether a workload can accept shared, centralized capacity or requires a particular combination of locality, resilience, and density. Hyperscale buyers concentrate volumes and accelerate technical change, whereas enterprises, colocators, and edge operators create demand for adaptable designs. That divergence favors vendors able to offer a common management and power/cooling architecture across facility types, while preserving enough modularity to meet different availability and compliance thresholds.
Data Center Infrastructure Market Regional Analysis
North America generated USD 98.1 billion in 2025, or 38.3% of the global market, led by the United States at USD 90.8 billion. U.S. AI campus activity illustrates both the depth of demand and the growing importance of utility arrangements: Microsoft received approval in January 2026 for 15 additional data centers at the former Foxconn site in Wisconsin, with taxable development value exceeding USD 13 billion. In February 2026, Duke Energy said agreements with Microsoft, Compass, and an undisclosed third customer lifted its contracted data-center capacity to 4.5 GW. These are signals of geographically diversified capacity formation, not evidence that any one customer accounts for all contracted utility load. Canada offers a complementary location proposition where power availability and connectivity support regional diversification.
Europe represented USD 80.4 billion in 2025. Germany, the UK, France, Italy, Spain, the Netherlands, Belgium, Sweden, and Poland each operate within a market shaped by energy economics, compliance requirements, and mature enterprise demand. EU rules require data centers with at least 500 kW of installed IT power demand to report energy and water-performance information annually. The Netherlands faces connection constraints in major hubs, while the UK's September 2024 designation of data centers as Critical National Infrastructure makes resilience and protection more central to operator planning. The European opportunity lies in efficient new capacity and retrofit solutions that meet reporting requirements without assuming unconstrained grid access.
Asia Pacific, valued at USD 56.2 billion in 2025, is the fastest-growing region. China accounted for USD 35.0 billion, supported by the national-hub policy and demand for domestic infrastructure. India's BharatNet Phase III program targets an additional 40,000 Gram Panchayats and subsidized broadband for 15 million rural households, expanding the connectivity base relevant to tier-2 and tier-3 infrastructure planning. Japan, South Korea, Australia, Thailand, Indonesia, and Malaysia offer varied combinations of enterprise demand, cloud growth, manufacturing digitization, and connectivity investment. Singapore remains a strategic regional hub, but supply is governed by a highly selective DC-CFA licensing framework rather than an active moratorium.
Latin America generated USD 11.7 billion in 2025, with Brazil contributing USD 7.9 billion. Brazil's 5G rollout began in 2022 under Anatel's regulatory framework, strengthening the foundation for distributed telecom and edge use cases alongside the concentration of large-scale capacity around São Paulo. Mexico, Argentina, and Chile broaden the region's opportunity set, but cost of imported equipment, power-market conditions, and the depth of local network ecosystems can materially affect project economics.
MEA accounted for USD 9.7 billion, including USD 5.0 billion in the UAE. The UAE's Federal Decree-Law No. 45 of 2021 provides a formal personal-data protection framework relevant to sovereign and enterprise workload decisions. Saudi Arabia's digital-economy investment, South Africa's enterprise and connectivity base, and UAE hub development are creating different demand patterns across the region. High ambient temperatures in Gulf markets elevate the value of cooling design and lifecycle efficiency, making thermal performance an operating-cost issue rather than a specification premium.
GMI Analyst View
Regional growth will not follow a single cloud-adoption curve. North America has the deepest AI-capital pipeline but faces grid pressure; Europe couples mature demand with energy-performance and resilience obligations; Asia Pacific combines national policy, connectivity expansion, and selective capacity controls; Latin America and MEA offer earlier-cycle build-outs with sharper power, cost, and climate considerations. Vendors need locally credible delivery models: the same high-density platform may require different power sourcing, compliance instrumentation, cooling topology, and deployment pace by region.
Data Center Infrastructure Market Share & Competitive Landscape
Dell Technologies led the market with a 14.4% share in 2025, followed by Hewlett Packard Enterprise at 7.57%, Cisco at 6.01%, Vertiv at 3.98%, and Schneider Electric at 3.59%. The top five held approximately 35.6% combined, leaving substantial room for specialists in electrical systems, cooling, optical networking, storage, racks, cabling, and management software. Competitive advantage increasingly rests on whether a vendor can be designed into an AI-ready facility before construction begins, then support commissioning and operation at scale.
Schneider Electric combines power, racks, controls, prefabricated systems, and liquid-cooling capability. It collaborated with NVIDIA on power, cooling, controls, and high-density rack designs in June 2025, and its EcoStruxure Pod launch integrated liquid cooling, high-power busway, and high-density racks. Schneider signed an agreement for a 75% controlling interest in Motivair in October 2024; the controlling stake closed in February 2025, with the remaining stake planned for 2028. Vertiv's 800 VDC work positions it at the intersection of power conversion and AI-factory density. Eaton remains a core power-management competitor and, in November 2025, signed an agreement to acquire Boyd Thermal for USD 9.5 billion, subject to approvals and expected to close in the second quarter of 2026.
Dell, HPE, Cisco, NetApp, Pure Storage, Arista Networks, Coherent Corp., and Ciena compete across IT infrastructure, storage, switching, and optical interconnect. HPE completed its acquisition of Juniper Networks on July 2, 2025, bringing Juniper's AI-native networking and Mist AI capabilities into HPE's portfolio. Juniper remains relevant as a distinct CP-list competitor within that combined offering. ABB, Siemens, Legrand, Cummins, Rittal, Honeywell, Hyperview, and LiquidStack address electrical distribution, backup power, racks, building systems, operational controls, and specialized cooling. NVIDIA is a technology-context influence on infrastructure specifications, but it is not included in the company scope.
The October 2025 agreement for AIP, MGX, and BlackRock's Global Infrastructure Partners to acquire all equity in Aligned Data Centers implied an enterprise value of about USD 40 billion and was described as the largest data-center transaction to date. The transaction underscores how infrastructure capital is converging with technology demand: ownership of powered, permitted, and scalable capacity can be as strategically valuable as the servers installed inside it.
Recent Industry Developments
Need a specific section of this report?
Purchase regional analysis, country-level analysis, company profiles, or any other segment-level insights separately
based on your research needs.
Research methodology, data sources & validation process
This report draws on a structured research process built around direct industry conversations, proprietary modelling, and rigorous cross-validation and not just desk research.
Our 6-step research process
1. Research design & analyst oversight
At GMI, our research methodology is built on a foundation of human expertise, rigorous validation, and complete transparency. Every insight, trend analysis, and forecast in our reports is developed by experienced analysts who understand the nuances of your market.
Our approach integrates extensive primary research through direct engagement with industry participants and experts, complemented by comprehensive secondary research from verified global sources. We apply quantified impact analysis to deliver dependable forecasts, while maintaining complete traceability from original data sources to final insights.
2. Primary research
Primary research forms the backbone of our methodology, contributing nearly 80% to overall insights. It involves direct engagement with industry participants to ensure accuracy and depth in analysis. Our structured interview program covers regional and global markets, with inputs from C-suite executives, directors, and subject matter experts. These interactions provide strategic, operational, and technical perspectives, enabling well-rounded insights and reliable market forecasts.
3. Data mining & market analysis
Data mining is a key part of our research process, contributing nearly 20% to the overall methodology. It involves analysing market structure, identifying industry trends, and assessing macroeconomic factors through revenue share analysis of major players. Relevant data is collected from both paid and unpaid sources to build a reliable database. This information is then integrated to support primary research and market sizing, with validation from key stakeholders such as distributors, manufacturers, and associations.
4. Market sizing
Our market sizing is built on a bottom-up approach, starting with company revenue data gathered directly through primary interviews, alongside production volume figures from manufacturers and installation or deployment statistics. These inputs are then pieced together across regional markets to arrive at a global estimate that stays grounded in actual industry activity.
5. Forecast model & key assumptions
Every forecast includes explicit documentation of:
✓ Key growth drivers and their assumed impact
✓ Restraining factors and mitigation scenarios
✓ Regulatory assumptions and policy change risk
✓ Technology adoption curve parameter
✓ Macroeconomic assumptions (GDP growth, inflation, currency)
✓ Competitive dynamics and market entry/exit expectations
6. Validation & quality assurance
The final stages involve human validation, where domain experts manually review filtered data to identify nuances and contextual errors that automated systems might miss. This expert review adds a critical layer of quality assurance, ensuring data aligns with research objectives and domain-specific standards.
Our triple-layer validation process ensures maximum data reliability:
✓ Statistical Validation
✓ Expert Validation
✓ Market Reality Check
Trust & credibility
Verified data sources
Trade publications
Industry journals, trade publications, and specialized media.
Industry databases
Proprietary and third-party market databases
Regulatory filings
Government procurement records and policy documents
Academic research
University studies and specialist institution reports
Company reports
Annual reports, investor presentations, and filings
Expert interviews
C-suite, procurement leads, and technical specialists
GMI archive
13,000+ published studies across 20+ industry verticals
Trade data
Import/export volumes, HS codes, and customs records
Parameters studied & evaluated
Every data point in this report is validated through primary interviews, true bottom-up modelling, and rigorous cross-checks. Read about our research process →