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2160742

人工智慧資料中心電力市場：預測（至2034年）－按電力基礎設施、電力架構、電源、資料中心類型、人工智慧工作負載和區域分類的全球分析

AI Data Center Power Market Forecasts to 2034 - Global Analysis By Power Infrastructure, Power Architecture, Power Source, Data Center Type, AI Workload, 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 AI 資料中心電力市場規模將達到 334 億美元，並在預測期內以 14.3% 的複合年成長率成長，到 2034 年將達到 972 億美元。

人工智慧資料中心的電力系統涵蓋了為人工智慧運算設備提供可靠且高效電力所需的電力基礎設施、架構和管理系統。該市場包括不斷電系統(UPS)、配電盤、開關和配電盤、變壓器、發電機、母線槽和匯流排以及電力管理系統等電力基礎設施。電力架構包括交流電 (AC)、直流電 (DC) 和交流-直流混合供電。電源包括電網供電、可再生能源、天然氣發電、電池儲能和混合動力系統。這些系統為超大規模資料中心、託管資料中心、企業資料中心和邊緣資料中心供電，支援人工智慧訓練、人工智慧推理、生成式人工智慧和高效能運算。

人工智慧工作負載和功率密度的爆炸性成長

人工智慧工作負載的快速成長以及由此帶來的功率密度提升是人工智慧資料中心電力市場的主要驅動力。人工智慧訓練和推理所需的功率遠高於傳統運算。 GPU集群消耗的電力龐大。人工智慧機架的電力需求正在急劇成長。資料中心營運商正在投資電力基礎設施以滿足這些需求。隨著人工智慧的普及，對人工智慧資料中心電力解決方案的需求也不斷擴大，從而支撐著市場的持續成長。

電力供應限制和電網的局限性

電力供應限制和電網容量不足是人工智慧資料中心電力市場的主要限制因素。許多地區都面臨電力供應限制。電網基礎設施可能不足以應對大規模人工智慧資料中心的負載。併網延遲會導致專案延期。部分市場的電力成本也不斷上漲。這些限制因素可能會限制某些地區人工智慧資料中心的擴張。

引進可再生能源和永續電力解決方案

可再生能源和永續電力解決方案的日益普及為不斷擴張的人工智慧資料中心電力市場帶來了巨大的機會。資料中心營運商正在投資太陽能、風能和其他再生能源來源。電池儲能技術能夠實現可再生能源的併網。永續永續性解決方案既能解決環境問題，也能降低長期成本。隨著永續發展的重要性日益凸顯，採用可再生能源供電的人工智慧資料中心正在不斷擴大市場佔有率。

溫度控管和冷卻功率需求

人工智慧資料中心對溫度控管和冷卻的電力需求龐大，這對市場成長構成威脅。冷卻系統會消耗大量額外電力。包括液冷在內的先進冷卻解決方案會增加系統複雜性。電源使用效率 (PUE) 方面的挑戰會導致營運成本上升。這些溫度控管和冷卻需求可能會限制人工智慧資料中心在某些地區的部署。

新型冠狀病毒（COVID-19）的影響：

新冠疫情加速了人工智慧資料中心電力市場的成長，推動了數位轉型和人工智慧的普及。遠距辦公和線上服務的激增刺激了對資料中心的需求。儘管經濟不確定性，但對人工智慧的投資仍在持續。疫情後，生成式人工智慧的突破性進展正推動人工智慧資料中心電力基礎設施的需求爆炸性成長。

在預測期內，不斷電系統（UPS）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，不斷電系統(UPS) 系統將佔據最大的市場佔有率，這主要得益於人工智慧資料中心對可靠備用電源的迫切需求、各類設施的成熟部署以及不斷成長的容量需求。 UPS 系統能夠保護系統免受斷電影響，從而避免人工智慧訓練和推理中斷。該細分市場受益於關鍵任務設施的強制部署。隨著人工智慧工作負載的增加，對 UPS 的需求也將隨之成長，預計 UPS 將繼續保持其在電力基礎設施領域的最大佔有率。

預計在預測期內，生成式人工智慧領域將呈現最高的複合年成長率。

在預測期內，生成式人工智慧（GENerative AI）領域預計將呈現最高的成長率，這主要得益於生成式人工智慧應用的爆炸性成長、模型規模的不斷擴大以及推理需求的日益成長。生成式人工智慧模型的訓練和推理需要大量的運算資源。其功耗需求遠高於傳統工作負載。隨著生成式人工智慧的普及，這項工作負載將成為該領域成長最快的驅動力。

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，這主要得益於其在人工智慧資料中心領域的集中投資、大型超大規模資料中心業者資料中心營運商的存在以及先進的電力基礎設施。美國正透過大規模的人工智慧基礎設施投資推動該地區的成長。許多大型雲端服務供應商和人工智慧公司都將總部設在該地區。人工智慧的高普及率正在推動對電力基礎設施的需求。憑藉集中投資和技術領先優勢，北美將繼續保持其市場主導地位。

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，這主要得益於中國、日本、韓國和印度人工智慧技術的快速普及、資料中心容量的擴張以及政府主導的人工智慧舉措。該地區龐大且持續成長的科技產業正在催生對人工智慧基礎設施的巨大需求。政府推動人工智慧發展的計畫正在加速投資。隨著人工智慧應用和資料中心規模的不斷擴大，亞太地區將迎來全球最快的市場成長。

免費客製化服務：

訂閱本報告的用戶可享有以下免費自訂選項之一：

  • 公司簡介
    • 對其他公司（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
    • 根據客戶興趣量身定做的主要國家/地區的市場估算、預測和複合年成長率（註：基於可行性檢查）
  • 競爭性標竿分析
    • 根據產品系列、地理覆蓋範圍和策略聯盟對領先公司進行基準分析。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 成長要素、挑戰與機遇
  • 競爭格局概述
  • 戰略考慮和建議

第2章：分析框架

  • 分析的目標和範圍
  • 相關人員分析
  • 分析的前提條件與限制
  • 分析方法

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
  • 科技與創新趨勢
  • 新興市場和高成長市場
  • 監管和政策環境
  • 感染疾病的影響及恢復前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商議價能力
    • 買方的議價能力
    • 替代產品的威脅
    • 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市場：按電力基礎設施分類

  • 不斷電系統（UPS）系統
  • 配電單元
  • 開關設備及配電盤
  • 變壓器
  • 發電機
  • 母線槽匯流排
  • 電源管理系統

第6章：全球人工智慧資料中心電源市場：依電源架構分類

  • 交流配電
  • 直流配電
  • 混合交流-直流電源架構

第7章：全球人工智慧資料中心電力市場：依電源類型分類

  • 電網電力
  • 可再生能源
  • 天然氣發電
  • 電池供電儲能
  • 混合動力系統

第8章：全球人工智慧資料中心電力市場：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9章：全球人工智慧資料中心電力市場：按人工智慧工作負載分類

  • 人工智慧訓練
  • 人工智慧推理
  • 人工智慧世代
  • 高效能運算

第10章：全球人工智慧資料中心電力市場：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
  • 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11章 策略市場資訊

  • 產業加值網路與供應鏈評估
  • 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12章 產業趨勢與策略舉措

  • 企業合併（M&A）
  • 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13章：公司簡介

  • Schneider Electric SE
  • Vertiv Holdings Co.
  • Eaton Corporation plc
  • ABB Ltd.
  • Siemens AG
  • Delta Electronics, Inc.
  • Cummins Inc.
  • Caterpillar Inc.
  • Rolls-Royce Holdings plc
  • Generac Holdings Inc.
  • Huawei Technologies Co., Ltd.
  • Mitsubishi Electric Corporation
  • Legrand SA
  • Hitachi Energy Ltd.
  • Trane Technologies plc
Product Code: SMRC40226

According to Stratistics MRC, the Global AI Data Center Power Market is accounted for $33.4 billion in 2026 and is expected to reach $97.2 billion by 2034 growing at a CAGR of 14.3% during the forecast period. AI data center power encompasses the power infrastructure, architecture, and management systems required to deliver reliable, efficient electricity to AI computing equipment. The market includes power infrastructure including uninterruptible power supply systems, power distribution units, switchgear and switchboards, transformers, generators, busways and busbars, and power management systems. Power architectures include AC power distribution, DC power distribution, and hybrid AC-DC. Power sources include grid power, renewable energy, natural gas power generation, battery energy storage, and hybrid power systems. These systems serve hyperscale data centers, colocation data centers, enterprise data centers, and edge data centers supporting AI training, AI inference, generative AI, and high-performance computing.

Market Dynamics:

Driver:

Explosive growth in AI workloads and power density

The rapid growth of AI workloads and associated increases in power density are primary drivers for the AI data center power market. AI training and inference require significantly more power than traditional computing. GPU clusters consume enormous amounts of electricity. Power requirements for AI racks are increasing dramatically. Data center operators are investing in power infrastructure to support these demands. As AI adoption accelerates, demand for AI data center power solutions expands, supporting sustained market growth.

Restraint:

Power availability constraints and grid limitations

Power availability constraints and grid limitations represent a major restraint for the AI data center power market. Many regions face electricity supply constraints. Grid infrastructure may be inadequate for large AI data center loads. Interconnection queues can delay projects. Power costs are increasing in some markets. These constraints may limit AI data center expansion in certain geographies.

Opportunity:

Adoption of renewable energy and sustainable power solutions

The growing adoption of renewable energy and sustainable power solutions presents significant opportunities for AI data center power market expansion. Data center operators are investing in solar, wind, and other renewable sources. Battery energy storage enables renewable integration. Sustainable power solutions address environmental concerns and reduce long-term costs. As sustainability priorities grow, renewable-powered AI data centers capture growing market share.

Threat:

Thermal management and cooling power requirements

The significant thermal management and cooling power requirements of AI data centers pose threats to market growth. Cooling systems consume substantial additional power. Advanced cooling solutions including liquid cooling add complexity. Power usage effectiveness challenges increase operational costs. These thermal and cooling requirements may limit AI data center deployment in some locations.

Covid-19 Impact:

The COVID-19 pandemic accelerated AI data center power market growth as digital transformation and AI adoption increased. Remote work and online services drove data center demand. AI investment continued despite economic uncertainty. Post-pandemic, generative AI breakthroughs have driven explosive demand for AI data center power infrastructure.

The Uninterruptible Power Supply Systems segment is expected to be the largest during the forecast period

The Uninterruptible Power Supply Systems segment is expected to account for the largest market share during the forecast period, driven by the critical need for reliable backup power in AI data centers, established deployment across all facility types, and growing capacity requirements. UPS systems protect against power interruptions that could disrupt AI training and inference. The segment benefits from mandatory deployment in mission-critical facilities. As AI workloads grow, UPS demand increases, maintaining the largest power infrastructure segment share.

The Generative AI segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the Generative AI segment is predicted to witness the highest growth rate, fueled by the explosive growth of generative AI applications, increasing model sizes, and growing inference demand. Generative AI models require massive compute resources for training and inference. Power requirements for generative AI are significantly higher than traditional workloads. As generative AI adoption accelerates, this workload delivers the fastest segment growth.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, supported by concentrated AI data center investment, major hyperscaler presence, and advanced power infrastructure. The United States leads regional growth with substantial AI infrastructure investment. Major cloud providers and AI companies are headquartered in the region. High AI adoption drives power infrastructure demand. With investment concentration and technology leadership, North America maintains its dominant market position.

Region with highest CAGR:

Over the forecast period, the Asia-Pacific region is anticipated to exhibit the highest CAGR, driven by rapid AI adoption, expanding data center capacity, and government AI initiatives across China, Japan, South Korea, and India. The region's large and growing technology sector creates substantial demand for AI power infrastructure. Government programs promoting AI development are accelerating investment. As AI adoption and data center expansion continue, Asia Pacific delivers the fastest market growth globally.

Key players in the market

Some of the key players in AI Data Center Power Market include Schneider Electric SE, Vertiv Holdings Co., Eaton Corporation plc, ABB Ltd., Siemens AG, Delta Electronics, Inc., Cummins Inc., Caterpillar Inc., Rolls-Royce Holdings plc, Generac Holdings Inc., Huawei Technologies Co., Ltd., Mitsubishi Electric Corporation, Legrand SA, Hitachi Energy Ltd., and Trane Technologies plc.

Key Developments:

In October 2026, Schneider Electric unveiled its complete liquid cooling technology portfolio in Hong Kong following its integration of Motivair, pairing global data center infrastructure and power software with high-performance cooling for accelerated computing and AI workloads.

In October 2026, Eaton showcased advanced power magnetics and transformer platforms engineered to step down 54V rack busbars to sub-1V processor power rails for modern AI accelerators.

In March 2026, Vertiv collaborated with Generate Capital to offer integrated, resilient power and cooling infrastructure financing solutions to accelerate AI capacity deployment.

Power Infrastructure Covered:

  • Uninterruptible Power Supply Systems
  • Power Distribution Units
  • Switchgear and Switchboards
  • Transformers
  • Generators
  • Busways and Busbars
  • Power Management Systems

Power Architectures Covered:

  • AC Power Distribution
  • DC Power Distribution
  • Hybrid AC-DC Power Architecture

Power Sources Covered:

  • Grid Power
  • Renewable Energy
  • Natural Gas Power Generation
  • Battery Energy Storage
  • Hybrid Power Systems

Data Center Types Covered:

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

AI Workloads Covered:

  • AI Training
  • AI Inference
  • Generative AI
  • High-Performance Computing

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 Market, By Power Infrastructure

  • 5.1 Uninterruptible Power Supply Systems
  • 5.2 Power Distribution Units
  • 5.3 Switchgear and Switchboards
  • 5.4 Transformers
  • 5.5 Generators
  • 5.6 Busways and Busbars
  • 5.7 Power Management Systems

6 Global AI Data Center Power Market, By Power Architecture

  • 6.1 AC Power Distribution
  • 6.2 DC Power Distribution
  • 6.3 Hybrid AC-DC Power Architecture

7 Global AI Data Center Power Market, By Power Source

  • 7.1 Grid Power
  • 7.2 Renewable Energy
  • 7.3 Natural Gas Power Generation
  • 7.4 Battery Energy Storage
  • 7.5 Hybrid Power Systems

8 Global AI Data Center Power Market, By Data Center Type

  • 8.1 Hyperscale Data Centers
  • 8.2 Colocation Data Centers
  • 8.3 Enterprise Data Centers
  • 8.4 Edge Data Centers

9 Global AI Data Center Power Market, By AI Workload

  • 9.1 AI Training
  • 9.2 AI Inference
  • 9.3 Generative AI
  • 9.4 High-Performance Computing

10 Global AI Data Center Power Market, By Geography

  • 10.1 North America
    • 10.1.1 United States
    • 10.1.2 Canada
    • 10.1.3 Mexico
  • 10.2 Europe
    • 10.2.1 United Kingdom
    • 10.2.2 Germany
    • 10.2.3 France
    • 10.2.4 Italy
    • 10.2.5 Spain
    • 10.2.6 Netherlands
    • 10.2.7 Belgium
    • 10.2.8 Sweden
    • 10.2.9 Switzerland
    • 10.2.10 Poland
    • 10.2.11 Rest of Europe
  • 10.3 Asia Pacific
    • 10.3.1 China
    • 10.3.2 Japan
    • 10.3.3 India
    • 10.3.4 South Korea
    • 10.3.5 Australia
    • 10.3.6 Indonesia
    • 10.3.7 Thailand
    • 10.3.8 Malaysia
    • 10.3.9 Singapore
    • 10.3.10 Vietnam
    • 10.3.11 Rest of Asia Pacific
  • 10.4 South America
    • 10.4.1 Brazil
    • 10.4.2 Argentina
    • 10.4.3 Colombia
    • 10.4.4 Chile
    • 10.4.5 Peru
    • 10.4.6 Rest of South America
  • 10.5 Rest of the World (RoW)
    • 10.5.1 Middle East
      • 10.5.1.1 Saudi Arabia
      • 10.5.1.2 United Arab Emirates
      • 10.5.1.3 Qatar
      • 10.5.1.4 Israel
      • 10.5.1.5 Rest of Middle East
    • 10.5.2 Africa
      • 10.5.2.1 South Africa
      • 10.5.2.2 Egypt
      • 10.5.2.3 Morocco
      • 10.5.2.4 Rest of Africa

11 Strategic Market Intelligence

  • 11.1 Industry Value Network and Supply Chain Assessment
  • 11.2 White-Space and Opportunity Mapping
  • 11.3 Product Evolution and Market Life Cycle Analysis
  • 11.4 Channel, Distributor, and Go-to-Market Assessment

12 Industry Developments and Strategic Initiatives

  • 12.1 Mergers and Acquisitions
  • 12.2 Partnerships, Alliances, and Joint Ventures
  • 12.3 New Product Launches and Certifications
  • 12.4 Capacity Expansion and Investments
  • 12.5 Other Strategic Initiatives

13 Company Profiles

  • 13.1 Schneider Electric SE
  • 13.2 Vertiv Holdings Co.
  • 13.3 Eaton Corporation plc
  • 13.4 ABB Ltd.
  • 13.5 Siemens AG
  • 13.6 Delta Electronics, Inc.
  • 13.7 Cummins Inc.
  • 13.8 Caterpillar Inc.
  • 13.9 Rolls-Royce Holdings plc
  • 13.10 Generac Holdings Inc.
  • 13.11 Huawei Technologies Co., Ltd.
  • 13.12 Mitsubishi Electric Corporation
  • 13.13 Legrand SA
  • 13.14 Hitachi Energy Ltd.
  • 13.15 Trane Technologies plc

List of Tables

  • Table 1 Global AI Data Center Power Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Data Center Power Market Outlook, By Power Infrastructure (2023-2034) ($MN)
  • Table 3 Global AI Data Center Power Market Outlook, By Uninterruptible Power Supply Systems (2023-2034) ($MN)
  • Table 4 Global AI Data Center Power Market Outlook, By Power Distribution Units (2023-2034) ($MN)
  • Table 5 Global AI Data Center Power Market Outlook, By Switchgear and Switchboards (2023-2034) ($MN)
  • Table 6 Global AI Data Center Power Market Outlook, By Transformers (2023-2034) ($MN)
  • Table 7 Global AI Data Center Power Market Outlook, By Generators (2023-2034) ($MN)
  • Table 8 Global AI Data Center Power Market Outlook, By Busways and Busbars (2023-2034) ($MN)
  • Table 9 Global AI Data Center Power Market Outlook, By Power Management Systems (2023-2034) ($MN)
  • Table 10 Global AI Data Center Power Market Outlook, By Power Architecture (2023-2034) ($MN)
  • Table 11 Global AI Data Center Power Market Outlook, By AC Power Distribution (2023-2034) ($MN)
  • Table 12 Global AI Data Center Power Market Outlook, By DC Power Distribution (2023-2034) ($MN)
  • Table 13 Global AI Data Center Power Market Outlook, By Hybrid AC-DC Power Architecture (2023-2034) ($MN)
  • Table 14 Global AI Data Center Power Market Outlook, By Power Source (2023-2034) ($MN)
  • Table 15 Global AI Data Center Power Market Outlook, By Grid Power (2023-2034) ($MN)
  • Table 16 Global AI Data Center Power Market Outlook, By Renewable Energy (2023-2034) ($MN)
  • Table 17 Global AI Data Center Power Market Outlook, By Natural Gas Power Generation (2023-2034) ($MN)
  • Table 18 Global AI Data Center Power Market Outlook, By Battery Energy Storage (2023-2034) ($MN)
  • Table 19 Global AI Data Center Power Market Outlook, By Hybrid Power Systems (2023-2034) ($MN)
  • Table 20 Global AI Data Center Power Market Outlook, By Data Center Type (2023-2034) ($MN)
  • Table 21 Global AI Data Center Power Market Outlook, By Hyperscale Data Centers (2023-2034) ($MN)
  • Table 22 Global AI Data Center Power Market Outlook, By Colocation Data Centers (2023-2034) ($MN)
  • Table 23 Global AI Data Center Power Market Outlook, By Enterprise Data Centers (2023-2034) ($MN)
  • Table 24 Global AI Data Center Power Market Outlook, By Edge Data Centers (2023-2034) ($MN)
  • Table 25 Global AI Data Center Power Market Outlook, By AI Workload (2023-2034) ($MN)
  • Table 26 Global AI Data Center Power Market Outlook, By AI Training (2023-2034) ($MN)
  • Table 27 Global AI Data Center Power Market Outlook, By AI Inference (2023-2034) ($MN)
  • Table 28 Global AI Data Center Power Market Outlook, By Generative AI (2023-2034) ($MN)
  • Table 29 Global AI Data Center Power Market Outlook, By High-Performance Computing (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.