데이터센터 자동화 : 시장 점유율 분석, 업계 동향과 통계, 성장 예측(2026-2031년)

According to Mordor Intelligence, the data center automation market size in 2026 is estimated at USD 12.32 billion, growing from 2025 value of USD 10.48 billion with 2031 projections showing USD 27.64 billion, growing at 17.54% CAGR over 2026-2031.

This report is Segmented by Solution (Server Automation, Network Automation, and More), by Data Center Tier Type (Tier 1 and 2, Tier 3, and Tier 4), by Deployment Mode (On-Premise, Cloud), by Data Center Type (Hyperscalers/Cloud Service Providers, Colocation Providers, and More), and by Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global Data Center Automation Market Trends and Insights

Surge in cloud and hyperscale build-outs

Hyperscale campuses scheduled for 2025 investment exceed USD 250 billion, creating an automation imperative that spans capacity planning, thermal management, and live migration of workloads. Operators are designing facilities around AI-driven controllers able to allocate compute, power, and cooling resources in seconds, matching service-level demands while shaving operator intervention to a minimum. Capital-intensive expansions are now coupled with modular blocks that ship pre-wired and pre-tested, so orchestration software must instantly discover, baseline, and integrate each block. Global vendors are responding with intent-based platforms that enforce policies across thousands of assets, turning build-out velocity into a competitive weapon.

Demand for energy-efficient and sustainable operations

Datacenters currently use 1-3% of global electricity, and projections suggest the share could rise to 5% by 2030 if AI uptake accelerates. Strict initiatives such as the Climate Neutral Data Centre Pact in Europe set a PUE ceiling of 1.3 for new builds, prompting operators to adopt automation that continually tunes airflows, fan speeds, and workload placements. AI-enhanced controls have already trimmed cooling power by up to 40% in early deployments, and operators showcasing verifiable carbon reductions are attracting hyperscale tenants that must hit their own ESG targets. Automated sustainability reporting is further lowering compliance overheads and improving transparency with regulators.

Legacy system interoperability hurdles

Many operators still run proprietary hardware with limited APIs, forcing costly custom connectors before modern orchestration can take hold. Network teams often hesitate to automate core switches that handle mission-critical traffic, fearing outages from mis-configured scripts. Lack of design standardization across legacy estates further complicates rollouts because templates built for one site rarely port cleanly to another. Vendors are responding with extensive plugin marketplaces and AI-based discovery tools that reverse-engineer device configurations, yet migration timelines remain protracted for organizations with deep technical debt

Other drivers and restraints analyzed in the detailed report include:

1. Rising AI/ML workload automation needs
2. Complexity of hybrid and multi-cloud architectures
3. Heightened cyber-security and compliance risks

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

Network Automation is the fastest-growing segment with a 18.82% CAGR projected through 2031, although Server Automation retained 51.40% of the data center automation market share in 2025. Growth in network-focused platforms mirrors the proliferation of micro-services, container clusters, and east-west traffic patterns that overwhelm manual command-line changes. Enterprises are shifting to controllers that translate business intent into device configurations, then verify outcomes through closed-loop telemetry. This shift unlocks programmable QoS, micro-segmentation, and automatic rollback capabilities that reduce downtime incidents.

In the medium term, orchestration suites are converging previously separate functions- configuration management, performance analytics, and compliance checks- into unified toolchains governed by role-based access. AI-powered diagnostics pinpoint latency roots and suggest remediations, shortening mean time to resolution. As a result, senior leadership now views network automation as a strategic investment rather than a cost center. Momentum is expected to continue as 30% of enterprises aim to automate at least half of their network activities by 2026, setting the foundation for widespread intent-based networking adoption.

Tier 3 facilities commanded 44.95% of the data center automation market size in 2025, but Tier 4 deployments are on track for an 18.02% CAGR thanks to stringent 99.995% uptime expectations. Operators of Tier 4 campuses rely on orchestrated failover processes, real-time health scoring, and self-healing mesh architectures. Automated diagnostics inspect redundant paths and environmental sensors thousands of times per minute, triggering pre-emptive part swaps or load transfers.

Conversely, Tier 1 and Tier 2 sites pursue selective automation, often focusing on backup scheduling and patch management, due to budget limits. Yet falling software costs and modular controller designs are lowering entry barriers. Disaster-recovery orchestration is becoming a universal priority: Automated runbooks now test failover sequences monthly without human intervention, fulfilling audit requirements while safeguarding revenue. These capabilities gradually narrow the operational disparities between tier levels and raise baseline expectations across the industry.

Complete Report Scope:

• By Solution
  • Server Automation
  • Network Automation
  • Storage/Database Automation
  • Orchestration and Configuration Mgmt.
  • Performance and Compliance Mgmt.
• By Data Center Tier Type
  • Tier 1 and 2
  • Tier 3
  • Tier 4
• By Deployment Mode
  • On-premise
  • Cloud
• By Data Center Type
  • Hyperscalers/Cloud Server Providers
  • Colocation Providers
  • Enterprise and Edge
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • Singapore
    • Australia
    • Malaysia
    • Rest of Asia-Pacific
  • South America
    • Brazil
    • Chile
    • Argentina
    • Rest of South America
  • Middle East
    • United Arab Emirate
    • Saudi Arabia
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Rest of Africa

Geography Analysis

North America retained 46.05% of the data center automation market share in 2025, benefiting from deep cloud adoption and access to large capital pools. Power constraints in core corridors such as Northern Virginia sharpen the focus on grid-interactive automation that maximizes every available megawatt. Federal research indicating that data-center electricity demand may double by 2028 magnifies interest in platforms that minimize idle consumption and monetize flexibility through demand-response programs. Corporate sustainability narratives further encourage aggressive deployment of AI-guided cooling and capacity-planning tools.

Asia-Pacific is the fastest-growing territory with a 19.05% CAGR expected between 2026-2031. National initiatives in China, Japan, and India incentivize local cloud zones and edge build-outs, magnifying the need for automation that can compensate for labor shortages. Large-scale projects, including multi-billion-dollar investments in Thailand and Indonesia, bundle liquid-cooling and renewable power sources, demanding orchestration layers able to harmonize disparate technologies from day one.

Europe combines mature colocation hubs with tight environmental regulation, creating a crucible for advanced sustainability automation. Commitments to achieve climate-neutral facilities by 2030 push operators to deploy continuous-optimization engines that maintain sub-1.3 PUE targets and verify renewable-energy usage. Incentives for demand-response participation and heat-re-use schemes reinforce the business case. Growing activity in the Middle East and Africa mirrors this momentum: flagship projects in Saudi Arabia, the United Arab Emirates, and South Africa require net-zero proof points and autonomous operation to overcome remote-site staffing limitations, positioning automation as a prerequisite for securing financing and tenants.

1. Cisco Systems Inc.
2. VMware Inc.
3. Microsoft Corporation
4. IBM Corporation
5. Hewlett Packard Enterprise (HPE)
6. Dell Technologies Inc.
7. BMC Software Inc.
8. ServiceNow Inc.
9. Oracle Corporation
10. Fujitsu Ltd.
11. Juniper Networks Inc.
12. ABB Ltd.
13. Citrix Systems Inc.
14. Chef Software Inc. (Progress Software)
15. Brocade Communications Systems
16. HashiCorp Inc.
17. Puppet Labs LLC
18. Micro Focus Intl. plc
19. Huawei Technologies Co. Ltd.
20. Schneider Electric SE
21. NetApp Inc.

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 METHODOLOGY

3 EXECUTIVE SUMMARY

4 MARKET LANDSCAPE

• 4.1 Market Overview
• 4.2 Market Drivers
  • 4.2.1 Surge in cloud and hyperscale build-outs
  • 4.2.2 Demand for energy-efficient and sustainable operations
  • 4.2.3 Rising AI/ML workload automation needs
  • 4.2.4 Complexity of hybrid and multi-cloud architectures
  • 4.2.5 Grid-interactive incentive programs for data centers
  • 4.2.6 Edge localization in emerging economies
• 4.3 Market Restraints
  • 4.3.1 Legacy system interoperability hurdles
  • 4.3.2 Heightened cyber-security and compliance risks
  • 4.3.3 NetOps/automation talent shortage
  • 4.3.4 Power and water scarcity in major hubs
• 4.4 Supply-Chain Analysis
• 4.5 Regulatory Landscape
• 4.6 Technological Outlook
• 4.7 Porter's Five Forces Analysis
  • 4.7.1 Bargaining Power of Suppliers
  • 4.7.2 Bargaining Power of Buyers
  • 4.7.3 Threat of New Entrants
  • 4.7.4 Threat of Substitutes
  • 4.7.5 Intensity of Competitive Rivalry
• 4.8 Assessment of Macro-economic Trends on the Market
• 4.9 Sustainability and Carbon-Neutral Initiatives
• 4.10 Capacity and Power-Demand Analysis

5 MARKET SIZE AND GROWTH FORECASTS (VALUES)

• 5.1 By Solution
  • 5.1.1 Server Automation
  • 5.1.2 Network Automation
  • 5.1.3 Storage/Database Automation
  • 5.1.4 Orchestration and Configuration Mgmt.
  • 5.1.5 Performance and Compliance Mgmt.
• 5.2 By Data Center Tier Type
  • 5.2.1 Tier 1 and 2
  • 5.2.2 Tier 3
  • 5.2.3 Tier 4
• 5.3 By Deployment Mode
  • 5.3.1 On-premise
  • 5.3.2 Cloud
• 5.4 By Data Center Type
  • 5.4.1 Hyperscalers/Cloud Server Providers
  • 5.4.2 Colocation Providers
  • 5.4.3 Enterprise and Edge
• 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 France
    • 5.5.2.4 Italy
    • 5.5.2.5 Spain
    • 5.5.2.6 Rest of Europe
  • 5.5.3 Asia-Pacific
    • 5.5.3.1 China
    • 5.5.3.2 Japan
    • 5.5.3.3 India
    • 5.5.3.4 Singapore
    • 5.5.3.5 Australia
    • 5.5.3.6 Malaysia
    • 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 Argentina
    • 5.5.4.4 Rest of South America
  • 5.5.5 Middle East
    • 5.5.5.1 United Arab Emirate
    • 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 Cisco Systems Inc.
  • 6.4.2 VMware Inc.
  • 6.4.3 Microsoft Corporation
  • 6.4.4 IBM Corporation
  • 6.4.5 Hewlett Packard Enterprise (HPE)
  • 6.4.6 Dell Technologies Inc.
  • 6.4.7 BMC Software Inc.
  • 6.4.8 ServiceNow Inc.
  • 6.4.9 Oracle Corporation
  • 6.4.10 Fujitsu Ltd.
  • 6.4.11 Juniper Networks Inc.
  • 6.4.12 ABB Ltd.
  • 6.4.13 Citrix Systems Inc.
  • 6.4.14 Chef Software Inc. (Progress Software)
  • 6.4.15 Brocade Communications Systems
  • 6.4.16 HashiCorp Inc.
  • 6.4.17 Puppet Labs LLC
  • 6.4.18 Micro Focus Intl. plc
  • 6.4.19 Huawei Technologies Co. Ltd.
  • 6.4.20 Schneider Electric SE
  • 6.4.21 NetApp Inc.

7 MARKET OPPORTUNITIES AND FUTURE OUTLOOK

• 7.1 White-space and Unmet-need Assessment