2026-2030年全球綠色人工智慧基礎設施市場
市場調查報告書
商品編碼
2030916

2026-2030年全球綠色人工智慧基礎設施市場

Global Green AI Infrastructure Market 2026-2030

出版日期: | 出版商: TechNavio | 英文 316 Pages | 訂單完成後即時交付

價格
簡介目錄

全球綠色人工智慧基礎設施市場預計將在 2025 年至 2030 年間成長至 258.207 億美元,預測期內複合年成長率為 34.8%。

本報告對全球綠色人工智慧基礎設施市場進行了全面分析,包括市場規模和預測、趨勢、成長要素、挑戰以及對約 25 家公司的供應商分析。

本報告對當前市場狀況、最新市場趨勢和促進因素以及整體市場環境進行了最新分析。推動此市場發展的因素包括:各行業對永續和節能型人工智慧運算基礎設施的需求不斷成長;旨在減少資料中心碳排放和環境影響的監管政策日益嚴格;以及人工智慧工作負載的日益普及,從而推動了對最佳化基礎設施解決方案的需求。

本研究客觀地結合了一手和二手訊息,包括主要行業相關人員的意見。報告內容涵蓋主要公司分析、全面的市場規模數據、區域細分分析以及供應商格局。報告還包含歷史數據和預測數據。

市場範圍
基準年 2025
年末 2030
調查期 2026-2030
成長勢頭 加速度
2026 年同比比較 28.9%
複合年成長率 34.8%
增量 258.207億美元

本研究指出,採用先進冷卻技術(例如液冷)以提高能源效率,是未來幾年全球綠色人工智慧基礎設施市場成長的關鍵促進因素之一。此外,將太陽能和風能等再生能源來源整合到資料中心營運中,以及開發針對人工智慧工作負載最佳化的節能處理器和硬體,預計也將產生顯著的市場需求。

目錄

第1章:執行摘要

第2章 Technavio 分析

  • 分析定價、生命週期、顧客購買籃子、採用率和購買標準。
  • 輸入的重要性及差異化因素
  • 干擾因素
  • 促進因素和挑戰的影響

第3章 市場狀況

  • 市場生態系統
  • 市場特徵
  • 價值鏈分析

第4章 市場規模

  • 市場的定義
  • 市場區隔分析
  • 2025年市場規模
  • 市場展望,2025-2030年

第5章 市場規模與表現

  • 2020-2024年全球綠色人工智慧基礎設施市場
  • 產品細分市場分析,2020-2024 年
  • 2020-2024 年最終用戶細分市場分析
  • 按部署方式分類的細分市場分析,2020-2024 年
  • 區域區隔市場分析,2020-2024 年
  • 2020-2024年各國細分市場分析

第6章 定性分析

  • 人工智慧的影響:全球綠色人工智慧基礎設施市場
  • 地緣政治衝突的影響:全球綠色人工智慧基礎設施市場

第7章:五力分析

第8章 市場區隔:依產品

  • 比較:按產品
  • AI最佳化伺服器
  • 節能冷卻系統
  • 高效能儲存和記憶體解決方案
  • 可再生能源整合組件
  • 市場機會:依產品分類

第9章 市場區隔:依最終用戶分類

  • 比較:按最終用戶
  • 雲端服務供應商
  • 公司
  • 政府
  • 研究機構和人工智慧新創公司
  • 市場機會:依最終用戶分類

第10章 市場區隔:依部署方式

  • 比較:依部署方式
  • 基於雲端的
  • 混合和邊緣運算環境
  • 現場
  • 市場機會:依發展階段分類

第11章 客戶情況

第12章 區域情勢

  • 區域細分
  • 區域比較
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
  • 歐洲
    • 德國
    • 英國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
  • 南美洲
    • 巴西
    • 阿根廷
    • 智利
  • 中東和非洲
    • 沙烏地阿拉伯
    • UAE
    • 南非
    • 以色列
    • 土耳其
  • 市場機會:按地區分類

第13章 促進因素、挑戰與機遇

  • 市場促進因素
  • 市場挑戰
  • 促進因素和挑戰的影響
  • 市場機遇

第14章 競爭格局

  • 概述
  • 競爭格局
  • 混亂局面
  • 產業風險

第15章 競爭分析

  • 公司簡介
  • 公司排名指標
  • 企業市場定位
  • ABB Ltd.
  • Advanced Micro Devices Inc.
  • Alibaba Cloud
  • Amazon Web Services Inc.
  • Cisco Systems Inc.
  • Eaton Corp. Plc
  • Google LLC
  • Hewlett Packard Enterprise Co.
  • Huawei Technologies Co. Ltd.
  • IBM Corp.
  • Microsoft Corp.
  • NVIDIA Corp.
  • Oracle Corp.
  • Schneider Electric SE
  • Siemens AG

第16章附錄

簡介目錄
Product Code: IRTNTR80679

The global green ai infrastructure market is forecasted to grow by USD 25820.7 mn during 2025-2030, accelerating at a CAGR of 34.8% during the forecast period. The report on the global green ai infrastructure market provides a holistic analysis, market size and forecast, trends, growth drivers, and challenges, as well as vendor analysis covering around 25 vendors.

The report offers an up-to-date analysis regarding the current market scenario, the latest trends and drivers, and the overall market environment. The market is driven by increasing demand for sustainable and energy efficient ai computing infrastructure across industries, growing regulatory policies to reduce carbon emissions and environmental impact of data centers, rising adoption of artificial intelligence workloads driving need for optimized infrastructure solutions.

The study was conducted using an objective combination of primary and secondary information including inputs from key participants in the industry. The report contains a comprehensive market size data, segment with regional analysis and vendor landscape in addition to an analysis of the key companies. Reports have historic and forecast data.

Market Scope
Base Year2025
End Year2030
Series Year2026-2030
Growth MomentumAccelerate
YOY 202628.9%
CAGR34.8%
Incremental Value$25820.7 mn

Technavio's global green ai infrastructure market is segmented as below:

By Product

  • AI optimized servers
  • Energy efficient cooling systems
  • High performance storage and memory solutions
  • Renewable energy integration components

By End-User

  • Cloud service providers
  • Enterprises
  • Government
  • Research institutions and AI startups

By Deployment

  • Cloud based
  • Hybrid and edge-computing environments
  • On premises

Geography

  • North America
    • US
    • Canada
    • Mexico
  • APAC
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
  • Europe
    • Germany
    • UK
    • France
    • Italy
    • Spain
    • The Netherlands
  • South America
    • Brazil
    • Argentina
    • Chile
  • Middle East and Africa
    • UAE
    • South Africa
    • Turkey
  • Rest of World (ROW)

This study identifies the adoption of advanced cooling technologies such as liquid cooling for improved energy efficiency as one of the prime reasons driving the global green ai infrastructure market growth during the next few years. Also, integration of renewable energy sources like solar and wind into data center operations and development of energy efficient processors and hardware optimized for artificial intelligence workloads will lead to sizable demand in the market.

The report on the global green ai infrastructure market covers the following areas:

  • Global green ai infrastructure market sizing
  • Global green ai infrastructure market forecast
  • Global green ai infrastructure market industry analysis

The robust vendor analysis is designed to help clients improve their market position, and in line with this, this report provides a detailed analysis of several leading global green ai infrastructure market vendors that include ABB Ltd., Advanced Micro Devices Inc., Alibaba Cloud, Amazon Web Services Inc., Cisco Systems Inc., Dell Technologies Inc., Eaton Corp. Plc, Equinix Inc., Google LLC, Hewlett Packard Enterprise Co., Huawei Technologies Co. Ltd., IBM Corp., Intel Corp., Lenovo Group Ltd., Microsoft Corp., NVIDIA Corp., Oracle Corp., Schneider Electric SE, Siemens AG, Tencent Holdings Ltd., Vertiv Holdings Co.. Also, the global green ai infrastructure market analysis report includes information on upcoming trends and challenges that will influence market growth. This is to help companies strategize and leverage all forthcoming growth opportunities.

The publisher presents a detailed picture of the market by the way of study, synthesis, and summation of data from multiple sources by an analysis of key parameters such as profit, pricing, competition, and promotions. It presents various market facets by identifying the key industry influencers. The data presented is comprehensive, reliable, and a result of extensive primary and secondary research. The market research reports provide a complete competitive landscape and an in-depth vendor selection methodology and analysis using qualitative and quantitative research to forecast accurate market growth.

Table of Contents

1 Executive Summary

  • 1.1 Market overview
    • Executive Summary - Chart on Market Overview
    • Executive Summary - Data Table on Market Overview
    • Executive Summary - Chart on Global Market Characteristics
    • Executive Summary - Chart on Market by Geography
    • Executive Summary - Chart on Market Segmentation by Product
    • Executive Summary - Chart on Market Segmentation by End-user
    • Executive Summary - Chart on Market Segmentation by Deployment
    • Executive Summary - Chart on Incremental Growth
    • Executive Summary - Data Table on Incremental Growth
    • Executive Summary - Chart on Company Market Positioning

2 Technavio Analysis

  • 2.1 Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria
  • 2.2 Criticality of inputs and Factors of differentiation
  • 2.3 Factors of disruption
  • 2.4 Impact of drivers and challenges

3 Market Landscape

  • 3.1 Market ecosystem
  • 3.2 Market characteristics
  • 3.3 Value chain analysis

4 Market Sizing

  • 4.1 Market definition
  • 4.2 Market segment analysis
    • Market segments
  • 4.3 Market size 2025
  • 4.4 Market outlook: Forecast for 2025-2030

5 Historic Market Size

  • 5.1 Global Green AI Infrastructure Market 2020 - 2024
    • Historic Market Size - Data Table on Global Green AI Infrastructure Market 2020 - 2024 ($ million)
  • 5.2 Product segment analysis 2020 - 2024
    • Historic Market Size - Product Segment 2020 - 2024 ($ million)
  • 5.3 End-user segment analysis 2020 - 2024
    • Historic Market Size - End-user Segment 2020 - 2024 ($ million)
  • 5.4 Deployment segment analysis 2020 - 2024
    • Historic Market Size - Deployment Segment 2020 - 2024 ($ million)
  • 5.5 Geography segment analysis 2020 - 2024
    • Historic Market Size - Geography Segment 2020 - 2024 ($ million)
  • 5.6 Country segment analysis 2020 - 2024
    • Historic Market Size - Country Segment 2020 - 2024 ($ million)

6 Qualitative Analysis

  • 6.1 Impact of AI on Global Green AI Infrastructure Market
  • 6.2 Impact of Geopolitical Conflicts on Global Green AI Infrastructure Market

7 Five Forces Analysis

  • 7.1 Five forces summary
    • Five forces analysis - Comparison between 2025 and 2030
  • 7.2 Bargaining power of buyers
    • Bargaining power of buyers - Impact of key factors 2025 and 2030
  • 7.3 Bargaining power of suppliers
    • Bargaining power of suppliers - Impact of key factors in 2025 and 2030
  • 7.4 Threat of new entrants
    • Threat of new entrants - Impact of key factors in 2025 and 2030
  • 7.5 Threat of substitutes
    • Threat of substitutes - Impact of key factors in 2025 and 2030
  • 7.6 Threat of rivalry
    • Threat of rivalry - Impact of key factors in 2025 and 2030
  • 7.7 Market condition

8 Market Segmentation by Product

  • 8.1 Market segments
  • 8.2 Comparison by Product
  • 8.3 AI optimized servers - Market size and forecast 2025-2030
  • 8.4 Energy efficient cooling systems - Market size and forecast 2025-2030
  • 8.5 High performance storage and memory solutions - Market size and forecast 2025-2030
  • 8.6 Renewable energy integration components - Market size and forecast 2025-2030
  • 8.7 Market opportunity by Product
    • Market opportunity by Product ($ million)

9 Market Segmentation by End-user

  • 9.1 Market segments
  • 9.2 Comparison by End-user
  • 9.3 Cloud service providers - Market size and forecast 2025-2030
  • 9.4 Enterprises - Market size and forecast 2025-2030
  • 9.5 Government - Market size and forecast 2025-2030
  • 9.6 Research institutions and AI startups - Market size and forecast 2025-2030
  • 9.7 Market opportunity by End-user
    • Market opportunity by End-user ($ million)

10 Market Segmentation by Deployment

  • 10.1 Market segments
  • 10.2 Comparison by Deployment
  • 10.3 Cloud based - Market size and forecast 2025-2030
  • 10.4 Hybrid and edge-computing environments - Market size and forecast 2025-2030
  • 10.5 On premises - Market size and forecast 2025-2030
  • 10.6 Market opportunity by Deployment
    • Market opportunity by Deployment ($ million)

11 Customer Landscape

  • 11.1 Customer landscape overview
    • Analysis of price sensitivity, lifecycle, customer purchase basket, adoption rates, and purchase criteria

12 Geographic Landscape

  • 12.1 Geographic segmentation
  • 12.2 Geographic comparison
  • 12.3 North America - Market size and forecast 2025-2030
    • 12.3.1 US - Market size and forecast 2025-2030
    • 12.3.2 Canada - Market size and forecast 2025-2030
    • 12.3.3 Mexico - Market size and forecast 2025-2030
  • 12.4 APAC - Market size and forecast 2025-2030
    • 12.4.1 China - Market size and forecast 2025-2030
    • 12.4.2 Japan - Market size and forecast 2025-2030
    • 12.4.3 India - Market size and forecast 2025-2030
    • 12.4.4 South Korea - Market size and forecast 2025-2030
    • 12.4.5 Australia - Market size and forecast 2025-2030
    • 12.4.6 Indonesia - Market size and forecast 2025-2030
  • 12.5 Europe - Market size and forecast 2025-2030
    • 12.5.1 Germany - Market size and forecast 2025-2030
    • 12.5.2 UK - Market size and forecast 2025-2030
    • 12.5.3 France - Market size and forecast 2025-2030
    • 12.5.4 Italy - Market size and forecast 2025-2030
    • 12.5.5 Spain - Market size and forecast 2025-2030
    • 12.5.6 The Netherlands - Market size and forecast 2025-2030
  • 12.6 South America - Market size and forecast 2025-2030
    • 12.6.1 Brazil - Market size and forecast 2025-2030
    • 12.6.2 Argentina - Market size and forecast 2025-2030
    • 12.6.3 Chile - Market size and forecast 2025-2030
  • 12.7 Middle East and Africa - Market size and forecast 2025-2030
    • 12.7.1 Saudi Arabia - Market size and forecast 2025-2030
    • 12.7.2 UAE - Market size and forecast 2025-2030
    • 12.7.3 South Africa - Market size and forecast 2025-2030
    • 12.7.4 Israel - Market size and forecast 2025-2030
    • 12.7.5 Turkey - Market size and forecast 2025-2030
  • 12.8 Market opportunity by geography
    • Market opportunity by geography ($ million)
    • Data Tables on Market opportunity by geography ($ million)

13 Drivers, Challenges, and Opportunity

  • 13.1 Market drivers
    • Increasing demand for sustainable and energy efficient AI computing infrastructure across industries
    • Growing regulatory policies to reduce carbon emissions and environmental impact of data centers
    • Rising adoption of artificial intelligence workloads driving need for optimized infrastructure solutions
  • 13.2 Market challenges
    • High initial investment costs associated with energy efficient infrastructure and sustainable technologies
    • Complexity in integrating renewable energy sources with existing data center operations
    • Limited availability of advanced energy efficient hardware and cooling solutions
  • 13.3 Impact of drivers and challenges
    • Impact of drivers and challenges in 2025 and 2030
  • 13.4 Market opportunities
    • Adoption of advanced cooling technologies such as liquid cooling for improved energy efficiency
    • Integration of renewable energy sources like solar and wind into data center operations
    • Development of energy efficient processors and hardware optimized for artificial intelligence workloads

14 Competitive Landscape

  • 14.1 Overview
  • 14.2 Competitive Landscape
    • Overview on criticality of inputs and factors of differentiation
  • 14.3 Landscape disruption
    • Overview on factors of disruption
  • 14.4 Industry risks
    • Impact of key risks on business

15 Competitive Analysis

  • 15.1 Companies profiled
    • Companies covered
  • 15.2 Company ranking index
    • Company ranking index
  • 15.3 Market positioning of companies
    • Matrix on companies position and classification
  • 15.4 ABB Ltd.
    • ABB Ltd. - Overview
    • ABB Ltd. - Business segments
    • ABB Ltd. - Key news
    • ABB Ltd. - Key offerings
    • ABB Ltd. - Segment focus
    • SWOT
  • 15.5 Advanced Micro Devices Inc.
    • Advanced Micro Devices Inc. - Overview
    • Advanced Micro Devices Inc. - Business segments
    • Advanced Micro Devices Inc. - Key news
    • Advanced Micro Devices Inc. - Key offerings
    • Advanced Micro Devices Inc. - Segment focus
    • SWOT
  • 15.6 Alibaba Cloud
    • Alibaba Cloud - Overview
    • Alibaba Cloud - Product / Service
    • Alibaba Cloud - Key offerings
    • SWOT
  • 15.7 Amazon Web Services Inc.
    • Amazon Web Services Inc. - Overview
    • Amazon Web Services Inc. - Product / Service
    • Amazon Web Services Inc. - Key offerings
    • SWOT
  • 15.8 Cisco Systems Inc.
    • Cisco Systems Inc. - Overview
    • Cisco Systems Inc. - Business segments
    • Cisco Systems Inc. - Key news
    • Cisco Systems Inc. - Key offerings
    • Cisco Systems Inc. - Segment focus
    • SWOT
  • 15.9 Eaton Corp. Plc
    • Eaton Corp. Plc - Overview
    • Eaton Corp. Plc - Business segments
    • Eaton Corp. Plc - Key news
    • Eaton Corp. Plc - Key offerings
    • Eaton Corp. Plc - Segment focus
    • SWOT
  • 15.10 Google LLC
    • Google LLC - Overview
    • Google LLC - Product / Service
    • Google LLC - Key offerings
    • SWOT
  • 15.11 Hewlett Packard Enterprise Co.
    • Hewlett Packard Enterprise Co. - Overview
    • Hewlett Packard Enterprise Co. - Business segments
    • Hewlett Packard Enterprise Co. - Key news
    • Hewlett Packard Enterprise Co. - Key offerings
    • Hewlett Packard Enterprise Co. - Segment focus
    • SWOT
  • 15.12 Huawei Technologies Co. Ltd.
    • Huawei Technologies Co. Ltd. - Overview
    • Huawei Technologies Co. Ltd. - Product / Service
    • Huawei Technologies Co. Ltd. - Key offerings
    • SWOT
  • 15.13 IBM Corp.
    • IBM Corp. - Overview
    • IBM Corp. - Business segments
    • IBM Corp. - Key news
    • IBM Corp. - Key offerings
    • IBM Corp. - Segment focus
    • SWOT
  • 15.14 Microsoft Corp.
    • Microsoft Corp. - Overview
    • Microsoft Corp. - Business segments
    • Microsoft Corp. - Key news
    • Microsoft Corp. - Key offerings
    • Microsoft Corp. - Segment focus
    • SWOT
  • 15.15 NVIDIA Corp.
    • NVIDIA Corp. - Overview
    • NVIDIA Corp. - Business segments
    • NVIDIA Corp. - Key news
    • NVIDIA Corp. - Key offerings
    • NVIDIA Corp. - Segment focus
    • SWOT
  • 15.16 Oracle Corp.
    • Oracle Corp. - Overview
    • Oracle Corp. - Business segments
    • Oracle Corp. - Key news
    • Oracle Corp. - Key offerings
    • Oracle Corp. - Segment focus
    • SWOT
  • 15.17 Schneider Electric SE
    • Schneider Electric SE - Overview
    • Schneider Electric SE - Business segments
    • Schneider Electric SE - Key offerings
    • Schneider Electric SE - Segment focus
    • SWOT
  • 15.18 Siemens AG
    • Siemens AG - Overview
    • Siemens AG - Business segments
    • Siemens AG - Key news
    • Siemens AG - Key offerings
    • Siemens AG - Segment focus
    • SWOT

16 Appendix

  • 16.1 Scope of the report
    • Market definition
    • Objectives
    • Notes and caveats
  • 16.2 Inclusions and exclusions checklist
    • Inclusions checklist
    • Exclusions checklist
  • 16.3 Currency conversion rates for US$
    • Currency conversion rates for US$
  • 16.4 Research methodology
    • Research methodology
  • 16.5 Data procurement
    • Information sources
  • 16.6 Data validation
    • Data validation
  • 16.7 Validation techniques employed for market sizing
    • Validation techniques employed for market sizing
  • 16.8 Data synthesis
    • Data synthesis
  • 16.9 360 degree market analysis
    • 360 degree market analysis
  • 16.10 List of abbreviations
    • List of abbreviations