Data Center Server Market Size and Share

Data Center Server Market (2025 - 2030)
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Data Center Server Market Analysis by Mordor Intelligence

The global data center server market stood at USD 110 billion in 2025 and is forecast to grow to USD 231.8 billion by 2030, recording a strong 16.08% CAGR. The expansion stems from three converging forces: surging artificial-intelligence training needs, accelerated edge-computing rollouts that shorten data paths, and hyperscalers’ sustained capital expenditures on purpose-built facilities. GPU-dense architectures now dominate new builds, supported by liquid-cooling technologies that keep rack densities above 80 kW. Enterprises are also refreshing x86 estates to support private-cloud and virtualized workloads, keeping traditional server refresh cycles alive even as AI reshapes specifications. Component vendors face persistent supply tightness in HBM and advanced GPUs, but steady migration toward DDR5 and next-generation interconnects is expected to ease some bottlenecks late in the forecast period.

Key Report Takeaways

  • By data-center tier, Tier 3 facilities captured 72.3% revenue share in 2024; Tier 4 is forecast to grow at 17.9% CAGR to 2030.
  • By form factor, half-height blades accounted for 63.2% share in 2024; quarter-height and micro-blade systems are advancing at 16.2% CAGR.
  • By application/workload, artificial intelligence and machine learning led with 35.3% of data center server market share in 2024, while virtualization and private cloud are projected to expand at 16.9% CAGR through 2030.
  • By data-center type, colocation facilities held a 58.5% share in 2024; hyperscalers and cloud service providers will grow at an 18.1% CAGR.
  • By end-use industry, IT and telecom led with 36.4% share in 2024, while manufacturing and Industry 4.0 workloads are set to rise at 17.3% CAGR.
  • By Geography, North America maintained 45.7% share in 2024; Asia-Pacific is poised for an 18.2% CAGR to 2030.

Segment Analysis

By Data-Center Tier: Mission-Critical Drives Premium Growth

Tier 3 facilities anchored the data center server market size at 72.3% share in 2024, balancing 99.982% availability with cost efficiency that satisfies mainstream enterprise and cloud workloads. Operators leverage Tier 3 designs to host multitenant private-cloud clusters, container orchestration platforms, and database services that can withstand limited maintenance windows. Competitive differentiation hinges on network backbone diversity and on-site renewable power mixes that trim PUE. 

Tier 4 sites represent the fastest-expanding slice, advancing at a 17.9% CAGR as AI training centers and real-time trading engines demand 99.995% uptime. The elevated redundancy of 2N+1 electrical and mechanical systems commands premiums that buyers increasingly accept because GPU training interruptions translate into lost revenue and retraining cycles. Hyperscalers now earmark Tier 4 for groundbreaking model builds, ensuring that even firmware updates occur without downtime. As sovereign clouds proliferate, governments also specify Tier 4 for classified workloads, further broadening addressable demand within the data center server market.

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By Form Factor: Density Evolution Reshapes Architectures

Half-height blades held 63.2% of the data center server market share in 2024, owing to balanced airflow, dual-socket configurations, and simple serviceability that minimize mean time to repair. Enterprises favor these systems for ERP databases, remote desktop farms, and virtualization hosts that value predictable thermal envelopes. Vendors continue to refresh these platforms with Sapphire-Rapids and Genoa-class CPUs, extending life cycles while integrating AI inference accelerators on mezzanine cards. 

Quarter-height and micro-blades are scaling fastest at 16.2% CAGR, spearheaded by telco edge nodes and retail analytics terminals where rack-unit real estate commands a premium. Liquid-cooling breakthroughs have unlocked safe operation at 500 W per slot, enabling dense inference clusters close to users. ODMs leverage modular designs to ship pre-certified edge PODs that collapse power, networking, and compute into single cabinets, simplifying rollouts for operators that lack on-site technicians. These trends cement compact blades as a growth engine in the broader data center server market.

By Application/Workload: AI Dominance Meets Enterprise Resilience

Artificial-intelligence workloads contributed the largest slice at 35.3% in 2024, reflecting a structural transition toward GPT-scale models across sectors. AI training centers now integrate GB200 NVLink nodes paired with 13.5 TB of HBM3e to push trillions of parameter updates per day, demanding rack-level power that earlier vintages could not support. Enterprises additionally purchase inference-tuned servers to accelerate recommender engines and language translation within private SaaS offerings, further expanding the data center server market. 

Virtualization and private cloud is accelerating at 16.9% CAGR as regulated industries pursue hybrid strategies that anchor sensitive data on-prem while bursting to public clouds for peak loads. Healthcare providers digitalizing radiology archives exemplify this preference, using encrypted NVMe over Fabrics to maintain chain-of-custody assurances. Modern hypervisors now embed AI scheduling to allocate GPU cycles dynamically between inference microservices and legacy VMs, squeezing higher utilization from existing hardware and underpinning continued investment in virtualized clusters.

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By Data Center Type: Hyperscaler Velocity Challenges Colocation Dominance

Colocation operators controlled 58.5% of the data center server market in 2024, positioning carrier-neutral campuses in network-rich metros that attract SaaS firms and smaller cloud providers. Interconnection fabrics inside these sites enable low-latency links to multiple clouds, a structural advantage that cements stickiness among enterprise tenants. Operators differentiate through ISO-certified sustainability programs, renewable power purchase agreements, and direct-to-chip cooling retrofits that court AI start-ups seeking rapid scale. 

Conversely, hyperscalers are racing ahead at 18.1% CAGR, pivoting capex toward self-built megacampuses where customized motherboards and optics slash operating expense per inference token. Proprietary rack designs integrate optical interposers and direct-liquid cooling, delivering superior flops-per-watt while enabling vertically integrated software stacks. This self-supply thrust is shrinking colocation share at the high end yet creating spill-over demand for regional edge-compute hubs, sustaining overall growth in the data center server market.

By End-use Industry: IT Supremacy Meets Manufacturing Innovation

IT and telecom firms commanded 36.4% share in 2024 by virtue of hosting public clouds, content delivery networks, and mobile-core functions that sit at the heart of digital ecosystems. Their workloads span transactional databases, real-time video encoding, and control-plane signaling, all of which necessitate high-availability clusters and constant refresh cycles. Telecom operators additionally deploy MEC nodes that host latency-critical microservices for enterprise 5G use cases, enlarging their installed base of GPU-capable edge servers. 

Manufacturing and Industry 4.0 is the quickest-growing vertical at 17.3% CAGR. Smart-factory rollouts leverage GPU-enabled optical inspection that performs bolt-count verification at line speeds, eliminating rework downstream. Predictive-maintenance models run on ruggedized server enclosures adjacent to machine tools, avoiding cloud round-trips that jeopardize cycle times. Additive-manufacturing cells integrate digital-twin software that simulates layer deposition in real time, demanding steady HPC throughput. These operational gains justify fresh capex on localized compute, solidifying manufacturing as a rising demand pillar inside the data center server market.

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Geography Analysis

North America retained 45.7% of data center server market share in 2024. The United States concentrates the bulk of GPU-grade clusters and attracts semiconductor ecosystems that co-locate packaging and AI-chip validation. Canada focuses national funding on AI research clouds, while Mexico’s nearshoring wave strengthens edge-compute deployments for US e-commerce fulfillment. Power-grid headwinds, however, are prompting projects such as Amazon’s nuclear-powered Oregon site, signaling a debt-capital shift toward on-site generation. 

Asia-Pacific is projected to grow at 18.2% CAGR, elevating its share of the data center server market through sovereign AI programs and hyperscaler enlargement. China drives internal demand with province-level grant schemes for compute subsidies, and Hong Kong’s 3,000 PFLOPS center will bolster cross-border AI collaboration. India’s INR 10,372-crore mission aims to add 10,000 GPUs for academia and start-ups, while Australia attracts multinational investment through stable energy policy and proximity to Southeast Asia traffic. Japan and South Korea complement growth with HBM manufacturing and 5G densification that expand local edge-node estates. 

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Competitive Landscape

Competition intertwines hardware engineering, cooling innovation, and workload-specific software optimization. Traditional OEMs—Dell, HPE, Lenovo—refresh flagship racks with liquid-ready chassis and PCIe Gen 5 backplanes, while ODMs such as Quanta and Supermicro cater to hyperscalers seeking custom motherboards. Applied Digital draws USD 5 billion to pioneer stranded-power campuses that co-locate renewable generation with liquid-cool racks, promising PUE below 1.05. Dell’s Concept Astro layers agentic AI on digital-twin models to predict thermal hotspots and orchestrate automated fan curves, slicing energy use across mixed CPU/GPU estates. 

Chipmakers compete on flops-per-watt curves. AMD’s 5th-gen EPYC lifts integer performance 37% versus the prior generation, targeting HPC and inference latency. Intel’s forthcoming 18A Xeon roadmap emphasizes power-integrity improvements aimed at dense LLM in-memory compute. ARM and RISC-V ecosystems remain nascent yet attract interest for edge appliances where power caps are stringent. NVIDIA dominates discrete GPUs but faces price elasticity limits tied to HBM supply. Consequently, integrators offer modular upgrade paths to swap in next-wave accelerators without backplane rewiring, enhancing future-proofing. 

Edge computing spawns specialized entrants: ruggedized server box builders embed conformal-coated boards for industrial floors, while telco-grade vendors integrate software-defined radio cards to host virtualized RAN functions. Cooling vendors JetCool, CoolIT, and Fujitsu compete on quick-disconnect manifolds and dielectric fluid chemistries. Sustainability metrics form a new battleground as customers demand hourly carbon-matching, driving partnerships between data-center landlords and renewable developers. This interplay sustains a vibrant supplier ecosystem even as hyperscaler self-design erodes unit share for legacy branded servers, keeping pricing discipline within the broader data center server market.

Data Center Server Industry Leaders

  1. Dell Technologies

  2. Hewlett Packard Enterprise

  3. Lenovo Group Limited

  4. Fujitsu Limited

  5. Cisco Systems Inc.

  6. *Disclaimer: Major Players sorted in no particular order
Data Center Server Market Concentration
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Recent Industry Developments

  • June 2025: Mistral AI launched Mistral Compute with 18,000 NVIDIA Grace Blackwell Superchips for enterprise AI services.
  • June 2025: Amazon committed AUD 20 billion(USD 12.98 billion) to expand Australian cloud and AI infrastructure.
  • June 2025: Dell unveiled Concept Astro for real-time data-center power optimization.
  • June 2025: Lenovo introduced ThinkCentre M90/M70 Gen 6 desktops featuring Intel Core Ultra processors.

Table of Contents for Data Center Server 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 Adoption of cloud computing services
    • 4.2.2 Large-scale commercialisation of 5G networks
    • 4.2.3 Hyperscale and edge data-centre build-out momentum
    • 4.2.4 Proliferation of AI / ML workloads demanding GPU-dense servers
    • 4.2.5 Liquid-cooling-ready server designs enabling greater than 80 kW racks
    • 4.2.6 Shift toward ARM and RISC-V architectures to cut total cost of ownership
  • 4.3 Market Restraints
    • 4.3.1 Rising CapEx for data-centre construction
    • 4.3.2 Escalating cyber-security and ransomware risks
    • 4.3.3 Supply-chain volatility for advanced server components (HBM, GPUs)
    • 4.3.4 Power-grid constraints and permitting delays in Tier-1 metros
  • 4.4 Supply-Chain Analysis
  • 4.5 Regulatory Landscape
  • 4.6 Technological Outlook
  • 4.7 Porter's Five Forces Analysis
    • 4.7.1 Threat of New Entrants
    • 4.7.2 Bargaining Power of Buyers
    • 4.7.3 Bargaining Power of Suppliers
    • 4.7.4 Threat of Substitutes
    • 4.7.5 Intensity of Rivalry
  • 4.8 Assesment of Macroeconomic Factors on the Market

5. MARKET SIZE and GROWTH FORECASTS (VALUE)

  • 5.1 By Data-Center Tier
    • 5.1.1 Tier 1 and 2
    • 5.1.2 Tier 3
    • 5.1.3 Tier 4
  • 5.2 By Form Factor
    • 5.2.1 Half-height Blades
    • 5.2.2 Full-height Blades
    • 5.2.3 Quarter-height / Micro-blades
  • 5.3 By Application / Workload
    • 5.3.1 Virtualisation and Private Cloud
    • 5.3.2 High-Performance Computing (HPC)
    • 5.3.3 Artificial Intelligence/Machine Learning and Data Analytics
    • 5.3.4 Storage-centric
    • 5.3.5 Edge / IoT Gateways
  • 5.4 By Data Center Type
    • 5.4.1 Hyperscalers/Cloud Service Provider
    • 5.4.2 Colocation Facilities
    • 5.4.3 Enterprise and Edge
  • 5.5 By End-use Industry
    • 5.5.1 BFSI
    • 5.5.2 IT and Telecom
    • 5.5.3 Healthcare and Life-Sciences
    • 5.5.4 Manufacturing and Industry 4.0
    • 5.5.5 Energy and Utilities
    • 5.5.6 Government and Defence
    • 5.5.7 Other End Users
  • 5.6 By Geography
    • 5.6.1 North America
    • 5.6.1.1 United States
    • 5.6.1.2 Canada
    • 5.6.1.3 Mexico
    • 5.6.2 South America
    • 5.6.2.1 Brazil
    • 5.6.2.2 Argentina
    • 5.6.2.3 Rest of South America
    • 5.6.3 Europe
    • 5.6.3.1 Germany
    • 5.6.3.2 United Kingdom
    • 5.6.3.3 France
    • 5.6.3.4 Rest of Europe
    • 5.6.4 Asia-Pacific
    • 5.6.4.1 China
    • 5.6.4.2 India
    • 5.6.4.3 Japan
    • 5.6.4.4 South Korea
    • 5.6.4.5 Rest of Asia-Pacific
    • 5.6.5 Middle East and Africa
    • 5.6.5.1 Middle East
    • 5.6.5.1.1 Saudi Arabia
    • 5.6.5.1.2 United Arab Emirates
    • 5.6.5.1.3 Rest of Middle East
    • 5.6.5.2 Africa
    • 5.6.5.2.1 South Africa
    • 5.6.5.2.2 Nigeria
    • 5.6.5.2.3 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 Dell Technologies
    • 6.4.2 Hewlett Packard Enterprise
    • 6.4.3 Lenovo Group Limited
    • 6.4.4 Fujitsu Limited
    • 6.4.5 Cisco Systems Inc.
    • 6.4.6 Kingston Technology Co. Inc.
    • 6.4.7 Huawei Technologies Co. Ltd.
    • 6.4.8 Inspur Group
    • 6.4.9 IBM Corporation
    • 6.4.10 Atos SE
    • 6.4.11 Super Micro Computer Inc.
    • 6.4.12 Quanta Cloud Technology (QCT)
    • 6.4.13 ZT Systems
    • 6.4.14 Hon Hai / Foxconn Technology Group
    • 6.4.15 Advanced Micro Devices (AMD)
    • 6.4.16 NVIDIA Corporation
    • 6.4.17 Oracle Corporation
    • 6.4.18 NEC Corporation
    • 6.4.19 Arista Networks
    • 6.4.20 Broadcom Inc.

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 global data center server market as the total factory-gate revenue generated from newly manufactured rack, blade, tower, micro, and accelerator-rich compute nodes that power colocation, hyperscale, enterprise, and edge facilities. According to Mordor Intelligence analysts, these servers integrate processors, memory, onboard storage, and network interfaces and are sold either bare-metal or pre-configured for virtualization, AI/ML, HPC, and traditional IT workloads.

Refurbished hardware, purely storage appliances, and third-party managed services sit outside this assessment.

Segmentation Overview

  • By Data-Center Tier
    • Tier 1 and 2
    • Tier 3
    • Tier 4
  • By Form Factor
    • Half-height Blades
    • Full-height Blades
    • Quarter-height / Micro-blades
  • By Application / Workload
    • Virtualisation and Private Cloud
    • High-Performance Computing (HPC)
    • Artificial Intelligence/Machine Learning and Data Analytics
    • Storage-centric
    • Edge / IoT Gateways
  • By Data Center Type
    • Hyperscalers/Cloud Service Provider
    • Colocation Facilities
    • Enterprise and Edge
  • By End-use Industry
    • BFSI
    • IT and Telecom
    • Healthcare and Life-Sciences
    • Manufacturing and Industry 4.0
    • Energy and Utilities
    • Government and Defence
    • Other End Users
  • By Geography
    • North America
      • United States
      • Canada
      • Mexico
    • South America
      • Brazil
      • Argentina
      • Rest of South America
    • Europe
      • Germany
      • United Kingdom
      • France
      • Rest of Europe
    • Asia-Pacific
      • China
      • India
      • Japan
      • South Korea
      • Rest of Asia-Pacific
    • Middle East and Africa
      • Middle East
        • Saudi Arabia
        • United Arab Emirates
        • Rest of Middle East
      • Africa
        • South Africa
        • Nigeria
        • Rest of Africa

Detailed Research Methodology and Data Validation

Primary Research

Mordor's analysts interviewed data-center architects, OEM product managers, liquid-cooling integrators, and colocation procurement heads across North America, Europe, Asia-Pacific, and the Gulf. These interactions clarified real-world rack densities, GPU attach ratios, and refresh cadences, which we then married with secondary findings to close information gaps and test assumption elasticity.

Desk Research

We first created a foundational evidence stack using open datasets from bodies such as the U.S. Energy Information Administration, Eurostat, JRC EU Data Center Inventory, China Academy of Information and Communications Technology, and the Korea Copyright Commission, which publish shipment, power-draw, and facility-count statistics. Trade association releases, OCP Foundation white papers, the Uptime Institute's outage studies, and the Open19 Project benchmarks helped us identify form-factor migration rates. Company 10-Ks, rack-density filings, and hyperscaler CAPEX disclosures complemented these sources. Paid databases that Mordor subscribes to, including D&B Hoovers for supplier financials and Dow Jones Factiva for deal flow, offered further triangulation. This list is illustrative, not exhaustive; many other repositories were referenced for validation.

A second pass synthesized patent analytics from Questel, import-export logs from Volza, and regional customs reports to refine unit flows and average selling prices, enriching our bottom-up cross-checks.

Market-Sizing & Forecasting

A top-down model starts with national production plus import-export balances, reconstructing the 2025 demand pool. Selective bottom-up roll-ups of leading OEM shipments and sampled ASP × volume sets validate and adjust totals. Key variables like hyperscaler annual CAPEX, average rack power (kW), server refresh cycle length, GPU attach penetration, and edge facility counts feed a multivariate regression that drives the 2025-2030 view. Scenario analysis layers in power-grid constraints and silicon supply elasticity before finalizing outputs.

Data Validation & Update Cycle

Outputs undergo multi-step variance checks against independent capacity trackers and energy-consumption indices. Senior reviewers flag anomalies, and any material variance triggers re-contact of sources. Reports refresh yearly; interim updates follow major regulatory or technology inflection points, ensuring clients receive our most current baseline.

Why Mordor's Data Center Server Baseline Commands Reliability

Published figures diverge because firms pick different server classes, ASP assumptions, and refresh horizons. Mordor's disciplined scoping, frequent refresh cadence, and dual-track validation temper over-optimistic cloud build plans and under-reported edge rollouts.

Benchmark of Recent Estimates

Benchmark comparison

Market Size Anonymized source Primary gap driver
USD 110.0 B (2025) Mordor Intelligence -
USD 59.31 B (2025) Global Consultancy A Omits edge-deployable microservers and relies on desk sources only
USD 78.87 B (2024) Industry Research House B Uses older base year and single ASP benchmark, limited hyperscale coverage
USD 98.50 B (2024) Media Portal C Excludes GPU-dense and liquid-cooled units, focuses on x86 rack designs

These contrasts show that when scope and inputs narrow, totals shrink.

By selecting the full spectrum of server types, applying region-specific ASPs, and refreshing annually, Mordor Intelligence delivers a balanced, transparent baseline that decision-makers can trace back to clear variables and repeatable steps.

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Key Questions Answered in the Report

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

The data center server market was valued at USD 110 billion in 2025.

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

It is forecast to reach USD 231.8 billion by 2030, expanding at a 16.08% CAGR.

Which application segment leads the data center server market?

Artificial-intelligence and machine-learning workloads held 35.3% share in 2024.

Why are Tier 4 facilities growing faster than other data-center tiers?

AI training and financial-services workloads require 99.995% uptime, pushing Tier 4 demand to a 17.9% CAGR.

Which region shows the highest growth potential through 2030?

Asia-Pacific is projected to grow at 18.2% CAGR, driven by sovereign AI programs and hyperscaler expansions.

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