AI 데이터센터 전력 인프라 시장 예측(-2034년) : 구성요소, 데이터센터 종류, 도입 형태, 전력 용량, 티어 기준, 최종사용자, 지역별 세계 분석

According to Stratistics MRC, the Global AI Data Center Power Infrastructure Market is accounted for $13.3 billion in 2026 and is expected to reach $30.7 billion by 2034 growing at a CAGR of 11.0% during the forecast period. AI Data Center Power Infrastructure encompasses the electrical technologies and supporting systems designed to deliver dependable, efficient, and uninterrupted power to facilities running artificial intelligence applications. It covers transformers, generators, UPS systems, switchgear, power distribution equipment, batteries, energy storage, and intelligent power management solutions. These systems are essential for handling the substantial electricity requirements of AI servers, GPUs, cooling equipment, and networking infrastructure. They also support higher power density, improved reliability, scalability, energy optimization, power stability, and resilient data center operations.

According to the IEA, global data center electricity consumption reached about 415 TWh in 2024, representing around 1.5% of global electricity consumption. The IEA projects this to more than double to approximately 945 TWh by 2030, supporting the need for expanded data center power infrastructure.

Market Dynamics:

Driver:

Rising AI workloads and high-power computing demand

Growing artificial intelligence workloads are increasing the need for sophisticated power systems across data centers. GPU-based servers and specialized AI accelerators consume considerable electricity, creating higher rack densities and greater pressure on existing power infrastructure. Operators are consequently investing in powerful transformers, uninterruptible power supplies, switchgear, distribution equipment, and backup power solutions to ensure continuous performance. Expanding adoption of generative AI, machine learning applications, and large AI models is also encouraging data center developers to deploy scalable, reliable, and resilient electrical infrastructure.

Restraint:

High capital and infrastructure costs

Significant investment requirements can limit the expansion of AI data center power infrastructure. Facilities supporting intensive AI workloads need expensive transformers, UPS equipment, generators, switchgear, distribution systems, energy storage solutions, and advanced monitoring platforms. Beyond equipment purchases, installation, maintenance, and electrical-system modernization add further costs. Smaller operators can find it challenging to fund these requirements while simultaneously expanding computing capacity. High initial spending, extended investment recovery periods, and financial limitations may therefore postpone infrastructure projects and restrict adoption among budget-conscious data center operators.

Opportunity:

Development of advanced power management technologies

Advanced power management solutions are creating new opportunities across AI data center infrastructure. The variable and concentrated electricity demands generated by AI workloads are encouraging operators to implement intelligent monitoring, control, and optimization systems. Digital platforms, smart electrical distribution equipment, predictive analytics, and automated controls can enhance energy utilization while supporting dependable operations. These solutions can detect performance inefficiencies, predict potential equipment problems, and balance electricity distribution throughout high-density computing environments. Their growing adoption enables better scalability, efficiency, resilience, reliability, and overall power infrastructure performance.

Threat:

Supply chain disruptions and equipment shortages

Disruptions across global supply chains can create significant risks for AI data center power infrastructure projects. Essential equipment such as transformers, generators, UPS units, switchgear, and distribution systems may experience extended delivery periods or limited availability during periods of strong demand. Reliance on specialized manufacturers and restricted production capabilities can increase procurement uncertainty. Equipment delays can consequently raise construction expenses, postpone data center commissioning, and interfere with planned capacity expansions. Such supply constraints may challenge operators attempting to deploy AI infrastructure quickly and efficiently.

Covid-19 Impact:

The COVID-19 pandemic created short-term challenges for AI data center power infrastructure by affecting equipment supply, facility construction, labor availability, and investment decisions. Delays involving transformers, generators, UPS equipment, and other electrical components disrupted project schedules. At the same time, widespread remote work and rising dependence on cloud platforms, digital services, and online applications increased demand for data center capacity. As digital transformation accelerated, infrastructure investments gradually strengthened. The pandemic also emphasized the need for dependable power, backup systems, resilience, and continuous data center performance.

The power distribution systems segment is expected to be the largest during the forecast period

The power distribution systems segment is expected to account for the largest market share during the forecast period because they provide the fundamental infrastructure required to distribute electricity across AI data center facilities. They transfer power from utility supplies or onsite generation to servers, computing racks, cooling systems, networking equipment, and other essential operations. Reliable distribution is particularly important in high-density AI environments where continuous and stable electricity is critical. The increasing complexity of data center designs and growing electricity requirements are further increasing the importance of efficient, scalable, and dependable power distribution infrastructure for AI applications.

The cloud service providers segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cloud service providers segment is predicted to witness the highest growth rate as rising demand for cloud-based AI applications drives continuous data center expansion. Providers are increasing investments in facilities capable of handling intensive AI workloads, advanced computing requirements, and higher power densities. This expansion creates demand for scalable distribution networks, backup power, conversion technologies, monitoring systems, and onsite generation capabilities. The accelerating use of generative AI, machine learning, and cloud platforms is encouraging providers to increase computing capacity while adopting sophisticated power infrastructure designed for reliable and efficient operations.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share due to its mature data center landscape and concentration of major technology companies, cloud providers, and artificial intelligence developers. Increasing investments in AI computing facilities and hyperscale data centers are creating substantial demand for sophisticated electrical infrastructure. Rising workload intensity is driving adoption of advanced power distribution, backup, monitoring, and generation systems. The region's established technology ecosystem, strong infrastructure capabilities, and continued AI investment further support its prominent position in the market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, supported by accelerating digital transformation, expanding cloud platforms, and rising AI investments. The region is witnessing increasing development of hyperscale and AI-oriented data centers to meet growing computational demands. Higher requirements for dependable electricity, efficient cooling, and dense computing environments are stimulating deployment of sophisticated distribution, backup, monitoring, conversion, and power generation technologies. Continued technology adoption, infrastructure development, and expanding data center capacity are creating strong opportunities throughout the regional market.

Key players in the market

Some of the key players in AI Data Center Power Infrastructure Market include Vertiv, Schneider Electric, Eaton, ABB, GE Vernova, Siemens, nVent Electric, Delta Electronics, Caterpillar, Cummins, Legrand, Mitsubishi Electric, Generac Power Systems, Powell Industries, Bloom Energy, Constellation Energy, Vistra Corp. and NextEra Energy.

Key Developments:

In November 2025, Schneider Electric announced a two-phase supply capacity agreement (SCA) totaling $1.9 billion in sales. The milestone deal includes prefabricated power modules and the first North American deployment of chillers. The announcement was unveiled at Schneider Electric'sInnovation Summit North America in Las Vegas, convening more than 2,500 business leaders and market innovators to accelerate practical solutions for a more resilient, affordable and intelligent energy future.

In November 2025, Vertiv and Caterpillar Inc. announced the signing of a strategic undertaking to collaborate on advanced energy optimization solutions for data centers. This initiative will integrate Vertiv's power distribution and cooling portfolio with Caterpillar's, and its subsidiary Solar Turbines', product and expertise in power generation and CCHP to deliver pre-designed architectures that simplify deployment, accelerate time-to-power and optimize performance for data center operations.

In June 2025, Eaton announced it has signed an agreement to acquire Ultra PCS Limited from the Cobham Ultra Group. Ultra PCS's innovative solutions for safety and mission critical aerospace systems will augment Eaton's portfolio in both military and civilian aircraft. We expect Ultra PCS's strong growth position on high-margin business to be accretive to Eaton. Under the terms of the agreement, Eaton will pay $1.55 billion for Ultra PCS.

Components Covered:

• Power Distribution Systems
• Power Backup Systems
• Power Conversion Systems
• Power Monitoring & Control Systems
• On-site Power Generation Systems

Data Center Types Covered:

• Hyperscale Data Centers
• Colocation Data Centers
• Enterprise Data Centers
• Edge Data Centers

Deployment Types Covered:

• New Build
• Retrofit & Expansion

Power Capacities Covered:

• Below 50 MW
• 50 MW to 100 MW
• 101 MW to 250 MW
• Above 250 MW

Tier Standards Covered:

• Tier I & Tier II
• Tier III
• Tier IV

End Users Covered:

• Cloud Service Providers
• Telecommunications Providers
• Government & Public Sector Organizations
• Commercial Enterprises
• Research & Academic Institutions

Regions Covered:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • United Kingdom
  • Germany
  • France
  • Italy
  • Spain
  • Netherlands
  • Belgium
  • Sweden
  • Switzerland
  • Poland
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Thailand
  • Malaysia
  • Singapore
  • Vietnam
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Colombia
  • Chile
  • Peru
  • Rest of South America
• Rest of the World (RoW)
  • Middle East
• Saudi Arabia
• United Arab Emirates
• Qatar
• Israel
• Rest of Middle East
  • Africa
• South Africa
• Egypt
• Morocco
• Rest of Africa

What our report offers:

• Market share assessments for the regional and country-level segments
• Strategic recommendations for the new entrants
• Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
• Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
• Strategic recommendations in key business segments based on the market estimations
• Competitive landscaping mapping the key common trends
• Company profiling with detailed strategies, financials, and recent developments
• Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

• Company Profiling
  • Comprehensive profiling of additional market players (up to 3)
  • SWOT Analysis of key players (up to 3)
• Regional Segmentation
  • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
• Competitive Benchmarking
  • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

• 1.1 Market Snapshot and Key Highlights
• 1.2 Growth Drivers, Challenges, and Opportunities
• 1.3 Competitive Landscape Overview
• 1.4 Strategic Insights and Recommendations

2 Research Framework

• 2.1 Study Objectives and Scope
• 2.2 Stakeholder Analysis
• 2.3 Research Assumptions and Limitations
• 2.4 Research Methodology
  • 2.4.1 Data Collection (Primary and Secondary)
  • 2.4.2 Data Modeling and Estimation Techniques
  • 2.4.3 Data Validation and Triangulation
  • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

• 3.1 Market Definition and Structure
• 3.2 Key Market Drivers
• 3.3 Market Restraints and Challenges
• 3.4 Growth Opportunities and Investment Hotspots
• 3.5 Industry Threats and Risk Assessment
• 3.6 Technology and Innovation Landscape
• 3.7 Emerging and High-Growth Markets
• 3.8 Regulatory and Policy Environment
• 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

• 4.1 Porter's Five Forces Analysis
  • 4.1.1 Supplier Bargaining Power
  • 4.1.2 Buyer Bargaining Power
  • 4.1.3 Threat of Substitutes
  • 4.1.4 Threat of New Entrants
  • 4.1.5 Competitive Rivalry
• 4.2 Market Share Analysis of Key Players
• 4.3 Product Benchmarking and Performance Comparison

5 Global AI Data Center Power Infrastructure Market, By Component

• 5.1 Power Distribution Systems
• 5.2 Power Backup Systems
• 5.3 Power Conversion Systems
• 5.4 Power Monitoring & Control Systems
• 5.5 On-site Power Generation Systems

6 Global AI Data Center Power Infrastructure Market, By Data Center Type

• 6.1 Hyperscale Data Centers
• 6.2 Colocation Data Centers
• 6.3 Enterprise Data Centers
• 6.4 Edge Data Centers

7 Global AI Data Center Power Infrastructure Market, By Deployment Type

• 7.1 New Build
• 7.2 Retrofit & Expansion

8 Global AI Data Center Power Infrastructure Market, By Power Capacity

• 8.1 Below 50 MW
• 8.2 50 MW to 100 MW
• 8.3 101 MW to 250 MW
• 8.4 Above 250 MW

9 Global AI Data Center Power Infrastructure Market, By Tier Standard

• 9.1 Tier I & Tier II
• 9.2 Tier III
• 9.3 Tier IV

10 Global AI Data Center Power Infrastructure Market, By End User

• 10.1 Cloud Service Providers
• 10.2 Telecommunications Providers
• 10.3 Government & Public Sector Organizations
• 10.4 Commercial Enterprises
• 10.5 Research & Academic Institutions

11 Global AI Data Center Power Infrastructure Market, By Geography

• 11.1 North America
  • 11.1.1 United States
  • 11.1.2 Canada
  • 11.1.3 Mexico
• 11.2 Europe
  • 11.2.1 United Kingdom
  • 11.2.2 Germany
  • 11.2.3 France
  • 11.2.4 Italy
  • 11.2.5 Spain
  • 11.2.6 Netherlands
  • 11.2.7 Belgium
  • 11.2.8 Sweden
  • 11.2.9 Switzerland
  • 11.2.10 Poland
  • 11.2.11 Rest of Europe
• 11.3 Asia Pacific
  • 11.3.1 China
  • 11.3.2 Japan
  • 11.3.3 India
  • 11.3.4 South Korea
  • 11.3.5 Australia
  • 11.3.6 Indonesia
  • 11.3.7 Thailand
  • 11.3.8 Malaysia
  • 11.3.9 Singapore
  • 11.3.10 Vietnam
  • 11.3.11 Rest of Asia Pacific
• 11.4 South America
  • 11.4.1 Brazil
  • 11.4.2 Argentina
  • 11.4.3 Colombia
  • 11.4.4 Chile
  • 11.4.5 Peru
  • 11.4.6 Rest of South America
• 11.5 Rest of the World (RoW)
  • 11.5.1 Middle East
    • 11.5.1.1 Saudi Arabia
    • 11.5.1.2 United Arab Emirates
    • 11.5.1.3 Qatar
    • 11.5.1.4 Israel
    • 11.5.1.5 Rest of Middle East
  • 11.5.2 Africa
    • 11.5.2.1 South Africa
    • 11.5.2.2 Egypt
    • 11.5.2.3 Morocco
    • 11.5.2.4 Rest of Africa

12 Strategic Market Intelligence

• 12.1 Industry Value Network and Supply Chain Assessment
• 12.2 White-Space and Opportunity Mapping
• 12.3 Product Evolution and Market Life Cycle Analysis
• 12.4 Channel, Distributor, and Go-to-Market Assessment

13 Industry Developments and Strategic Initiatives

• 13.1 Mergers and Acquisitions
• 13.2 Partnerships, Alliances, and Joint Ventures
• 13.3 New Product Launches and Certifications
• 13.4 Capacity Expansion and Investments
• 13.5 Other Strategic Initiatives

14 Company Profiles

• 14.1 Vertiv
• 14.2 Schneider Electric
• 14.3 Eaton
• 14.4 ABB
• 14.5 GE Vernova
• 14.6 Siemens
• 14.7 nVent Electric
• 14.8 Delta Electronics
• 14.9 Caterpillar
• 14.10 Cummins
• 14.11 Legrand
• 14.12 Mitsubishi Electric
• 14.13 Generac Power Systems
• 14.14 Powell Industries
• 14.15 Bloom Energy
• 14.16 Constellation Energy
• 14.17 Vistra Corp.
• 14.18 NextEra Energy