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市場調查報告書
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2160799

人工智慧資料中心儲能市場：預測（至2034年）－按技術、儲能時間、組件、應用、資料中心類型和地區分類的全球分析

AI Data Center Energy Storage Market Forecasts to 2034 - Global Analysis By Technology, Storage Duration, Component, Application, Data Center Type, and 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儲能市場規模將達到 32 億美元，並在預測期內以 24.5% 的複合年成長率成長，到 2034 年將達到 185 億美元。

人工智慧資料中心的儲能方式包括鋰離子電池、鈉離子電池、液流電池、飛輪儲能和超級電容，儲能時間從不到一小時到超過八小時不等。這些系統涵蓋電池系統、功率轉換系統、電池管理系統、溫度控管系統和能源管理系統，並部署於超大規模資料中心、人工智慧資料中心、託管資料中心、企業資料中心和邊緣資料中心，用於緊急供電、尖峰負載管理、電能品管、可再生能源併網和電網服務。人工智慧工作負載的不斷成長和對電力可靠性日益提高的需求正在推動全球人工智慧資料中心儲能市場的發展。

市場動態

人工智慧工作負載不斷增加，以及對電源可靠性的日益複雜化的需求。

人工智慧工作負載的爆炸性成長帶來了前所未有的電力需求和可靠性挑戰，因此亟需先進的儲能解決方案。持續、高品質的電力（由儲能提供）對於人工智慧的訓練和推理至關重要。人工智慧資料中心不斷提高的功率密度給電網帶來了挑戰，因此需要現場儲能以進行備用和尖峰管理。不斷上漲的電價推動了對能夠尖峰用電調節和負載轉移的儲能技術的需求。日益成長的永續性意識正在加速儲能技術在可再生能源併網中的應用。

高成本和技術限制

能源儲存系統的高成本是一大障礙，尤其是在大規模部署中。循環壽命有限和性能衰減等問題影響長期的經濟效益。高功率應用中的溫度控管挑戰影響系統的可靠性。某些電池材料的取得難度引發了供應鏈的擔憂。資料中心環境中鋰離子電池的安全隱患要求對其進行精心設計和監控。

電池技術和長期儲能技術的進步

電池技術的進步，包括鈉離子電池和液流電池，為低成本、長期儲能提供了機會。長期儲能技術的發展促進了可再生能源的併網和電網服務的擴展。增加對儲能設備製造的投資有助於降低成本並提高供電穩定性。將儲能設備與人工智慧驅動的工作負載管理結合，可以最佳化電力消耗。日益成長的電網服務需求也為資料中心的儲能設備創造了商機。

與替代電源解決方案的競爭

來自燃料電池、天然氣發電機和電網的競爭可能會限制儲能技術在某些應用領域的普及。經濟壓力可能會影響對儲能技術的投資。技術變革可能會使現有的儲能系統過時。影響儲能獎勵的監管變化可能會影響市場發展。認證安裝商和服務供應商數量有限，限制了市場成長。

新型冠狀病毒（COVID-19）的影響：

新冠疫情凸顯了電力可靠性和韌性的重要性，推動了資料中心對儲能技術的興趣。疫情期間對業務永續營運的日益重視刺激了對備用電源解決方案的投資。疫情後，先進儲能技術需求激增的人工智慧工作負載也隨之爆發。對人工智慧基礎設施投資的持續成長將繼續推動市場擴張。

在預測期內，鋰離子電池細分市場預計將佔據最大的市場佔有率。

預計在預測期內，鋰離子電池將佔據最大的市場佔有率。這是因為鋰離子電池在資料中心儲能應用中，能量密度、功率密度和成本方面實現了最佳平衡。鋰離子電池在備用電源和尖峰用電調節的應用日益廣泛，推動了市場擴張。鋰離子電池技術的進步不斷提升了循環壽命和安全性。完善的供應鏈基礎設施和應用專業知識也鞏固了該領域的領先地位。

預計在預測期內，人工智慧資料中心領域將呈現最高的複合年成長率。

在預測期內，人工智慧資料中心領域預計將呈現最高的成長率，這主要得益於人工智慧工作負載的爆炸性成長，而人工智慧工作負載對先進儲能技術的需求日益成長。人工智慧資料中心具有獨特的電力需求，需要複雜的儲能解決方案。人工智慧基礎設施投資的不斷擴大，也帶來了對儲能的巨大需求。人工智慧資料中心是資料中心儲能應用領域中成長最快的。

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，這主要得益於人工智慧和雲端基礎設施公司的主導地位。美國擁有眾多大型人工智慧資料中心，這些資料中心需要先進的儲能技術。對人工智慧基礎設施投資的增加正在推動儲能技術的應用。技術領先地位和創新文化正在鞏固該地區在市場上的領先地位。

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，這主要得益於資料中心的快速擴張、人工智慧的日益普及以及人們對電力可靠性的日益關注。中國、日本和韓國正在人工智慧基礎設施和儲能領域進行大量投資。對可靠電力日益成長的需求正在加速市場成長。政府對人工智慧和數位基礎設施的支持也在加速市場擴張。

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儲能市場：按技術分類

  • 鋰離子電池
  • 鈉離子電池
  • 液流電池
  • 飛輪儲能
  • 超級電容
  • 其他技術

第6章：全球人工智慧資料中心儲能市場：按儲存時間分類

  • 不到1小時
  • 1-2小時
  • 2-4小時
  • 4-8小時
  • 超過8小時

第7章：全球人工智慧資料中心儲能市場：按組件分類

  • 電池系統
  • 功率轉換系統
  • 電池管理系統
  • 溫度控管系統
  • 能源管理系統
  • 其他規則

第8章：全球人工智慧資料中心儲能市場：按應用領域分類

  • 應急電源
  • 尖峰負載管理
  • 電能品管
  • 可再生能源併網
  • 電網服務
  • 其他用途

第9章：全球人工智慧資料中心儲能市場：按資料中心類型分類

  • 超大規模資料中心
  • 人工智慧資料中心
  • 託管資料中心
  • 企業資料中心
  • 邊緣資料中心
  • 其他類型的資料中心

第10章：全球人工智慧資料中心儲能市場：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

  • Tesla, Inc.
  • Fluence Energy, Inc.
  • Schneider Electric SE
  • Eaton Corporation plc
  • Vertiv Holdings Co.
  • ABB Ltd.
  • Siemens AG
  • CATL
  • LG Energy Solution Ltd.
  • Samsung SDI Co., Ltd.
  • Enphase Energy, Inc.
  • Wartsila Corporation
  • ESS Tech, Inc.
  • Form Energy, Inc.
  • GE Vernova Inc.
Product Code: SMRC40383

According to Stratistics MRC, the Global AI Data Center Energy Storage Market is accounted for $3.2 billion in 2026 and is expected to reach $18.5 billion by 2034 growing at a CAGR of 24.5% during the forecast period. AI data center energy storage encompasses lithium-ion batteries, sodium-ion batteries, flow batteries, flywheel energy storage, and supercapacitors with storage durations ranging from under 1 hour to above 8 hours. These systems include battery systems, power conversion systems, battery management systems, thermal management systems, and energy management systems deployed for backup power, peak load management, power quality management, renewable energy integration, and grid services across hyperscale data centers, AI data centers, colocation data centers, enterprise data centers, and edge data centers. Growing AI workloads and power reliability requirements are driving the global AI data center energy storage market.

Market Dynamics

Driver:

Growing AI workloads and power reliability requirements

The explosive growth of AI workloads is creating unprecedented power requirements and reliability challenges that demand advanced energy storage solutions. AI training and inference require continuous, high-quality power that energy storage can provide. Growing power densities in AI data centers create challenges for grid supply and require on-site storage for backup and peak management. Rising electricity costs drive demand for energy storage that enables peak shaving and load shifting. Growing focus on sustainability drives adoption of energy storage for renewable energy integration.

Restraint:

High costs and technology limitations

High costs of energy storage systems present barriers to adoption, particularly for large-scale deployments. Limited cycle life and degradation concerns affect long-term economics. Thermal management challenges for high-power applications affect system reliability. Limited availability of certain battery materials creates supply chain concerns. Safety concerns regarding lithium-ion batteries in data center environments require careful design and monitoring.

Opportunity:

Advances in battery technology and longer-duration storage

Advances in battery technology, including sodium-ion and flow batteries, present opportunities for lower-cost and longer-duration storage. Development of longer-duration storage enables greater renewable energy integration and grid services. Growing investment in energy storage manufacturing reduces costs and improves availability. Integration of energy storage with AI workload management enables optimized power consumption. Growing demand for grid services creates revenue opportunities for data center energy storage.

Threat:

Competition from alternative power solutions

Competition from fuel cells, natural gas generators, and grid power may limit energy storage adoption in certain applications. Economic pressures may affect investment in energy storage. Technology transitions may render existing storage systems obsolete. Regulatory changes affecting energy storage incentives may impact market development. Limited availability of qualified installation and service providers constrains market growth.

Covid-19 Impact:

The COVID-19 pandemic highlighted the importance of power reliability and resilience, supporting interest in energy storage for data centers. Growing focus on operational continuity during the pandemic drove investment in backup power solutions. The post-pandemic period has witnessed explosive growth in AI workloads requiring advanced energy storage. Growing investment in AI infrastructure continues driving market expansion.

The lithium-ion batteries segment is expected to be the largest during the forecast period

The lithium-ion batteries segment is expected to account for the largest market share during the forecast period as lithium-ion batteries offer the best combination of energy density, power density, and cost for data center energy storage applications. Growing adoption of lithium-ion batteries for backup power and peak shaving drives market expansion. Advances in lithium-ion battery technology improve cycle life and safety. Established supply infrastructure and application knowledge support segment leadership.

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

Over the forecast period, the AI data centers segment is predicted to witness the highest growth rate driven by the explosive growth of AI workloads requiring advanced energy storage. AI data centers have unique power requirements that demand sophisticated energy storage solutions. Growing investment in AI infrastructure creates substantial demand for energy storage. AI data centers represent the fastest-growing application for data center energy storage.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share owing to the dominant presence of AI and cloud infrastructure companies. The United States hosts major AI data center deployments requiring advanced energy storage. Growing investment in AI infrastructure drives energy storage adoption. Technology leadership and innovation culture reinforce regional market leadership.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR driven by rapid data center expansion, growing AI adoption, and increasing focus on power reliability. China, Japan, and South Korea are investing heavily in AI infrastructure and energy storage. Growing demand for reliable power accelerates market growth. Government support for AI and digital infrastructure accelerates market expansion.

Key players in the market

Some of the key players in the AI Data Center Energy Storage Market include Tesla, Inc., Fluence Energy, Inc., Schneider Electric SE, Eaton Corporation plc, Vertiv Holdings Co., ABB Ltd., Siemens AG, CATL, LG Energy Solution Ltd., Samsung SDI Co., Ltd., Enphase Energy, Inc., Wartsila Corporation, ESS Tech, Inc., Form Energy, Inc., and GE Vernova Inc.

Key Developments:

In August 2026, Tesla, Inc. launched a new Megapack configuration specifically designed for AI data center applications. The system provides backup power and peak shaving capabilities optimized for AI workloads. This development addresses growing demand for energy storage in AI data centers.

In May 2026, Fluence Energy, Inc. introduced a new energy storage platform for data centers featuring advanced grid-forming capabilities and AI-powered optimization. The platform enables data centers to provide grid services while ensuring power reliability. This launch addresses growing demand for grid-interactive energy storage.

In February 2026, CATL announced a new lithium-ion battery system for data center energy storage with improved cycle life and safety. The system is designed for high-power applications requiring frequent cycling. This development addresses growing demand for reliable energy storage in data centers.

Technologies Covered:

  • Lithium-Ion Batteries
  • Sodium-Ion Batteries
  • Flow Batteries
  • Flywheel Energy Storage
  • Supercapacitors
  • Other Technologies

Storage Durations Covered:

  • Under 1 Hour
  • 1-2 Hours
  • 2-4 Hours
  • 4-8 Hours
  • Above 8 Hours

Components Covered:

  • Battery Systems
  • Power Conversion Systems
  • Battery Management Systems
  • Thermal Management Systems
  • Energy Management Systems
  • Other Components

Applications Covered:

  • Backup Power
  • Peak Load Management
  • Power Quality Management
  • Renewable Energy Integration
  • Grid Services
  • Other Applications

Data Center Types Covered:

  • Hyperscale Data Centers
  • AI Data Centers
  • Colocation Data Centers
  • Enterprise Data Centers
  • Edge Data Centers
  • Other Data Center Types

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 Energy Storage Market, By Technology

  • 5.1 Lithium-Ion Batteries
  • 5.2 Sodium-Ion Batteries
  • 5.3 Flow Batteries
  • 5.4 Flywheel Energy Storage
  • 5.5 Supercapacitors
  • 5.6 Other Technologies

6 Global AI Data Center Energy Storage Market, By Storage Duration

  • 6.1 Under 1 Hour
  • 6.2 1-2 Hours
  • 6.3 2-4 Hours
  • 6.4 4-8 Hours
  • 6.5 Above 8 Hours

7 Global AI Data Center Energy Storage Market, By Component

  • 7.1 Battery Systems
  • 7.2 Power Conversion Systems
  • 7.3 Battery Management Systems
  • 7.4 Thermal Management Systems
  • 7.5 Energy Management Systems
  • 7.6 Other Components

8 Global AI Data Center Energy Storage Market, By Application

  • 8.1 Backup Power
  • 8.2 Peak Load Management
  • 8.3 Power Quality Management
  • 8.4 Renewable Energy Integration
  • 8.5 Grid Services
  • 8.6 Other Applications

9 Global AI Data Center Energy Storage Market, By Data Center Type

  • 9.1 Hyperscale Data Centers
  • 9.2 AI Data Centers
  • 9.3 Colocation Data Centers
  • 9.4 Enterprise Data Centers
  • 9.5 Edge Data Centers
  • 9.6 Other Data Center Types

10 Global AI Data Center Energy Storage 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 Tesla, Inc.
  • 13.2 Fluence Energy, Inc.
  • 13.3 Schneider Electric SE
  • 13.4 Eaton Corporation plc
  • 13.5 Vertiv Holdings Co.
  • 13.6 ABB Ltd.
  • 13.7 Siemens AG
  • 13.8 CATL
  • 13.9 LG Energy Solution Ltd.
  • 13.10 Samsung SDI Co., Ltd.
  • 13.11 Enphase Energy, Inc.
  • 13.12 Wartsila Corporation
  • 13.13 ESS Tech, Inc.
  • 13.14 Form Energy, Inc.
  • 13.15 GE Vernova Inc.

List of Tables

  • Table 1 Global AI Data Center Energy Storage Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global AI Data Center Energy Storage Market, By Technology (2023-2034) ($MN)
  • Table 3 Global AI Data Center Energy Storage Market, By Lithium-Ion Batteries (2023-2034) ($MN)
  • Table 4 Global AI Data Center Energy Storage Market, By Sodium-Ion Batteries (2023-2034) ($MN)
  • Table 5 Global AI Data Center Energy Storage Market, By Flow Batteries (2023-2034) ($MN)
  • Table 6 Global AI Data Center Energy Storage Market, By Flywheel Energy Storage (2023-2034) ($MN)
  • Table 7 Global AI Data Center Energy Storage Market, By Supercapacitors (2023-2034) ($MN)
  • Table 8 Global AI Data Center Energy Storage Market, By Other Technologies (2023-2034) ($MN)
  • Table 9 Global AI Data Center Energy Storage Market, By Storage Duration (2023-2034) ($MN)
  • Table 10 Global AI Data Center Energy Storage Market, By Under 1 Hour (2023-2034) ($MN)
  • Table 11 Global AI Data Center Energy Storage Market, By 1-2 Hours (2023-2034) ($MN)
  • Table 12 Global AI Data Center Energy Storage Market, By 2-4 Hours (2023-2034) ($MN)
  • Table 13 Global AI Data Center Energy Storage Market, By 4-8 Hours (2023-2034) ($MN)
  • Table 14 Global AI Data Center Energy Storage Market, By Above 8 Hours (2023-2034) ($MN)
  • Table 15 Global AI Data Center Energy Storage Market, By Component (2023-2034) ($MN)
  • Table 16 Global AI Data Center Energy Storage Market, By Battery Systems (2023-2034) ($MN)
  • Table 17 Global AI Data Center Energy Storage Market, By Power Conversion Systems (2023-2034) ($MN)
  • Table 18 Global AI Data Center Energy Storage Market, By Battery Management Systems (2023-2034) ($MN)
  • Table 19 Global AI Data Center Energy Storage Market, By Thermal Management Systems (2023-2034) ($MN)
  • Table 20 Global AI Data Center Energy Storage Market, By Energy Management Systems (2023-2034) ($MN)
  • Table 21 Global AI Data Center Energy Storage Market, By Other Components (2023-2034) ($MN)
  • Table 22 Global AI Data Center Energy Storage Market, By Application (2023-2034) ($MN)
  • Table 23 Global AI Data Center Energy Storage Market, By Backup Power (2023-2034) ($MN)
  • Table 24 Global AI Data Center Energy Storage Market, By Peak Load Management (2023-2034) ($MN)
  • Table 25 Global AI Data Center Energy Storage Market, By Power Quality Management (2023-2034) ($MN)
  • Table 26 Global AI Data Center Energy Storage Market, By Renewable Energy Integration (2023-2034) ($MN)
  • Table 27 Global AI Data Center Energy Storage Market, By Grid Services (2023-2034) ($MN)
  • Table 28 Global AI Data Center Energy Storage Market, By Other Applications (2023-2034) ($MN)
  • Table 29 Global AI Data Center Energy Storage Market, By Data Center Type (2023-2034) ($MN)
  • Table 30 Global AI Data Center Energy Storage Market, By Hyperscale Data Centers (2023-2034) ($MN)
  • Table 31 Global AI Data Center Energy Storage Market, By AI Data Centers (2023-2034) ($MN)
  • Table 32 Global AI Data Center Energy Storage Market, By Colocation Data Centers (2023-2034) ($MN)
  • Table 33 Global AI Data Center Energy Storage Market, By Enterprise Data Centers (2023-2034) ($MN)
  • Table 34 Global AI Data Center Energy Storage Market, By Edge Data Centers (2023-2034) ($MN)
  • Table 35 Global AI Data Center Energy Storage Market, By Other Data Center Types (2023-2034) ($MN)

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