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2160744

人工智慧資料中心電力基礎設施市場預測至2034年－全球分析（按組件、資料中心類型、部署模式、電力容量、分級標準、最終用戶和地區分類）

AI Data Center Power Infrastructure Market Forecasts to 2034 - Global Analysis By Component, Data Center Type, Deployment Type, Power Capacity, Tier Standard, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 200+ Pages | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球人工智慧資料中心電力基礎設施市場規模將達到 133 億美元，並在預測期內以 11.0% 的複合年成長率成長，到 2034 年將達到 307 億美元。

人工智慧資料中心電力基礎設施是指為運作人工智慧應用的設施提供可靠、高效且不間斷電力供應的電氣技術和支援系統。這包括變壓器、發電機、UPS系統、開關設備、配電設備、電池、儲能設備和智慧電源管理解決方案。這些系統對於滿足人工智慧伺服器、GPU、冷卻系統和網路基礎設施的龐大電力需求至關重要。它們也是資料中心高功率密度、高可靠性、擴充性、能源最佳化、電力穩定性和容錯能力的基礎。

根據國際能源總署（IEA）的數據，2024年全球資料中心的電力消耗量將達到約415太瓦時（TWh），約佔全球電力消耗量的1.5%。 IEA預測，到2030年，這個數字將翻倍以上，達到約945太瓦時，凸顯了擴建資料中心電力基礎設施的必要性。

人工智慧工作負載的不斷成長以及對高效能運算的需求

人工智慧 (AI) 工作負載的不斷成長，推動了資料中心對先進電力系統的需求日益成長。基於 GPU 的伺服器和專用 AI 加速器消耗大量電力，導致機架密度增加，並加劇了現有電力基礎設施的壓力。因此，營運商正在投資高功率變壓器、不斷電系統(UPS)、開關設備、配電設備和備用電源解決方案，以確保持續穩定的性能。生成式 AI、機器學習應用和大規模 AI 模型的日益普及，也促使資料中心開發商部署擴充性、可靠且容錯的電力基礎設施。

高昂的資本成本和基礎設施成本

所需的巨額投資可能會限制人工智慧資料中心電力基礎設施的擴展。能夠處理高要求人工智慧工作負載的設施需要昂貴的變壓器、不間斷電源 (UPS)、發電機、開關設備、配電系統、儲能解決方案和先進的監控平台。除了設備購置之外，電力系統的安裝、維護和現代化改造也會產生額外的成本。對於小規模的營運商而言，在擴展運算能力的同時，籌集滿足這些需求所需的資金可能是一項挑戰。因此，高昂的初始成本、較長的投資回收期和資金限制可能會導致預算敏感的資料中心營運商推遲或限制基礎設施項目的實施。

先進電源管理技術的發展

先進的電源管理解決方案正在為人工智慧資料中心基礎設施創造新的機會。人工智慧工作負載產生的波動性和高強度電力需求正促使營運商部署智慧監控、控制和最佳化系統。數位平台、智慧配電設備、預測分析和自動化控制能夠提高能源效率，同時支援可靠運作。這些解決方案可以檢測性能低下問題、預測潛在的設備故障，並最佳化高密度計算環境中的電力分配。擴大這些解決方案的部署規模將提升可擴展性、效率、彈性、可靠性和整體電力基礎設施效能。

供應鏈中斷和設備短缺

全球供應鏈中斷可能對人工智慧資料中心電力基礎設施專案構成重大風險。變壓器、發電機、UPS電源、開關設備和配電系統等關鍵設備在需求激增期間可能面臨更長的交貨時間和供應受限的情況。對專業製造商的依賴以及產能限制可能會增加採購的不確定性。因此，設備延遲交付可能會增加建造成本、推遲資料中心的運作，並阻礙計劃中的容量擴張。此類供應限制可能會給尋求快速高效部署人工智慧基礎設施的營運商帶來挑戰。

新型冠狀病毒（COVID-19）的影響：

新冠疫情影響了設備供應、設施建設、勞動力配置和投資決策，為人工智慧資料中心電力基礎設施帶來了短期挑戰。變壓器、發電機、UPS設備和其他電氣元件的延誤擾亂了專案進度。同時，遠距辦公的日益普及以及對雲端平台、數位服務和線上應用的依賴性增強，增加了對資料中心容量的需求。隨著數位轉型加速，基礎建設投資也逐漸擴大。疫情也凸顯了可靠電力供應、備用系統、韌性和資料中心持續運作的重要性。

在預測期內，配電系統細分市場預計將佔據最大的市場佔有率。

預計在預測期內，配電系統領域將佔據最大的市場佔有率，因為它為整個人工智慧資料中心設施提供必要的基礎架構。該領域負責將電力從公用事業公司或現場發電輸送至伺服器、電腦架、冷卻系統、網路設備和其他關鍵運行設備。可靠的配電在人工智慧高密度環境中尤其重要，因為持續穩定的電力供應至關重要。隨著資料中心設計的日益複雜和電力需求的不斷成長，高效、擴充性且可靠的配電基礎設施對於人工智慧應用的重要性也日益凸顯。

在預測期內，雲端服務供應商細分市場預計將呈現最高的複合年成長率。

在預測期內，受雲端人工智慧應用需求不斷成長的推動，雲端服務供應商預計將呈現最高的成長率，這將進一步推動資料中心的持續擴張。服務供應商正在加大對能夠處理高負載人工智慧工作負載、滿足高階運算需求和高功率密度的設施的投資。這種擴張催生了對擴充性配電網路、備用電源、轉換技術、監控系統和現場發電能力的需求。隨著生成式人工智慧、機器學習和雲端平台的加速普及，服務供應商在提升運算能力的同時，也正在部署先進的電力基礎設施，以確保可靠且有效率的營運。

市佔率最大的地區：

在預測期內，北美預計將佔據最大的市場佔有率，這得益於其成熟的資料中心環境以及眾多領先科技公司、雲端服務供應商和人工智慧開發人員的聚集。對人工智慧運算設施和超大規模資料中心的投資不斷增加，也對先進的電力基礎設施產生了顯著需求。隨著工作負載的增加，先進的配電、備用、監控和發電系統的部署也在穩步推進。該地區成熟的技術生態系統、強大的基礎設施能力以及持續的人工智慧投資進一步鞏固了其市場主導地位。

複合年成長率最高的地區：

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於數位轉型加速、雲端平台擴張以及人工智慧投資的增加。為滿足日益成長的運算需求，該地區正經歷著超大規模和人工智慧導向型資料中心建設的蓬勃發展。對可靠電力供應、高效冷卻和高密度運算環境的需求不斷成長，推動了先進的配電、備用電源、監控、轉換和發電技術的應用。技術的持續應用、基礎設施的建設以及資料中心容量的擴張，正在為整個區域市場創造巨大的商機。

免費客製化服務：

所有購買此報告的客戶均可享受以下免費自訂選項之一：

  • 企業概況
    • 對其他市場參與者（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域分類
    • 根據客戶要求，我們可以提供主要國家的市場估算和預測，以及複合年成長率（註：需經可行性確認）。
  • 競爭性標竿分析
    • 根據產品系列、企業發展和策略聯盟對重點公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 投資成長機會和重點領域
  • 產業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章：全球人工智慧資料中心電力基礎設施市場：按組件分類

  • 配電系統
  • 備用電源系統
  • 功率轉換系統
  • 電力監控與控制系統
  • 現場發電系統

第6章：全球人工智慧資料中心電力基礎設施市場：按資料中心類型分類

  • 超大規模資料中心
  • 託管資料中心
  • 企業資料中心
  • 邊緣資料中心

第7章 全球人工智慧資料中心電力基礎設施市場：依部署類型分類

  • 新建設
  • 維修和擴建

第8章：全球人工智慧資料中心電力基礎設施市場：按電力容量分類

  • 小於50兆瓦
  • 50 MW～100 MW
  • 101 MW～250 MW
  • 超過250兆瓦

第9章：全球人工智慧資料中心電力基礎設施市場：按層級標準分類

  • 一級和二級
  • Tier III
  • Tier IV

第10章：全球人工智慧資料中心電力基礎設施市場：按最終用戶分類

  • 雲端服務供應商
  • 電信服務供應商
  • 政府和公共部門組織
  • 私人公司
  • 研究和學術機構

第11章 全球人工智慧資料中心電力基礎設施市場：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 世界其他地區（RoW）
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲國家

第12章 策略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第13章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟和合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第14章：公司簡介

  • 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.
  • NextEra Energy
Product Code: SMRC40209

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

List of Tables

  • Table 1 Global AI Data Center Power Infrastructure Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Data Center Power Infrastructure Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global AI Data Center Power Infrastructure Market Outlook, By Power Distribution Systems (2023-2034) ($MN)
  • Table 4 Global AI Data Center Power Infrastructure Market Outlook, By Power Backup Systems (2023-2034) ($MN)
  • Table 5 Global AI Data Center Power Infrastructure Market Outlook, By Power Conversion Systems (2023-2034) ($MN)
  • Table 6 Global AI Data Center Power Infrastructure Market Outlook, By Power Monitoring & Control Systems (2023-2034) ($MN)
  • Table 7 Global AI Data Center Power Infrastructure Market Outlook, By On-site Power Generation Systems (2023-2034) ($MN)
  • Table 8 Global AI Data Center Power Infrastructure Market Outlook, By Data Center Type (2023-2034) ($MN)
  • Table 9 Global AI Data Center Power Infrastructure Market Outlook, By Hyperscale Data Centers (2023-2034) ($MN)
  • Table 10 Global AI Data Center Power Infrastructure Market Outlook, By Colocation Data Centers (2023-2034) ($MN)
  • Table 11 Global AI Data Center Power Infrastructure Market Outlook, By Enterprise Data Centers (2023-2034) ($MN)
  • Table 12 Global AI Data Center Power Infrastructure Market Outlook, By Edge Data Centers (2023-2034) ($MN)
  • Table 13 Global AI Data Center Power Infrastructure Market Outlook, By Deployment Type (2023-2034) ($MN)
  • Table 14 Global AI Data Center Power Infrastructure Market Outlook, By New Build (2023-2034) ($MN)
  • Table 15 Global AI Data Center Power Infrastructure Market Outlook, By Retrofit & Expansion (2023-2034) ($MN)
  • Table 16 Global AI Data Center Power Infrastructure Market Outlook, By Power Capacity (2023-2034) ($MN)
  • Table 17 Global AI Data Center Power Infrastructure Market Outlook, By Below 50 MW (2023-2034) ($MN)
  • Table 18 Global AI Data Center Power Infrastructure Market Outlook, By 50 MW to 100 MW (2023-2034) ($MN)
  • Table 19 Global AI Data Center Power Infrastructure Market Outlook, By 101 MW to 250 MW (2023-2034) ($MN)
  • Table 20 Global AI Data Center Power Infrastructure Market Outlook, By Above 250 MW (2023-2034) ($MN)
  • Table 21 Global AI Data Center Power Infrastructure Market Outlook, By Tier Standard (2023-2034) ($MN)
  • Table 22 Global AI Data Center Power Infrastructure Market Outlook, By Tier I & Tier II (2023-2034) ($MN)
  • Table 23 Global AI Data Center Power Infrastructure Market Outlook, By Tier III (2023-2034) ($MN)
  • Table 24 Global AI Data Center Power Infrastructure Market Outlook, By Tier IV (2023-2034) ($MN)
  • Table 25 Global AI Data Center Power Infrastructure Market Outlook, By End User (2023-2034) ($MN)
  • Table 26 Global AI Data Center Power Infrastructure Market Outlook, By Cloud Service Providers (2023-2034) ($MN)
  • Table 27 Global AI Data Center Power Infrastructure Market Outlook, By Telecommunications Providers (2023-2034) ($MN)
  • Table 28 Global AI Data Center Power Infrastructure Market Outlook, By Government & Public Sector Organizations (2023-2034) ($MN)
  • Table 29 Global AI Data Center Power Infrastructure Market Outlook, By Commercial Enterprises (2023-2034) ($MN)
  • Table 30 Global AI Data Center Power Infrastructure Market Outlook, By Research & Academic Institutions (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.