2025-2029年全球能源管理人工智慧市場

全球能源管理領域的人工智慧 (AI) 市場預計在 2024-2029 年預測期內將以 20.8% 的複合年成長率成長，達到 160.642 億美元。

本報告對全球能源管理領域的人工智慧市場進行了全面分析，包括市場規模和預測、趨勢、成長要素和挑戰，以及對約 25 家公司的供應商分析。

本報告對當前市場格局、最新趨勢和促進因素以及整體市場環境進行了最新分析，其促進因素包括電網現代化和穩定性需求、全球脫碳和永續性努力以及提高營運效率和降低成本的動力。

本研究採用客觀的方法，結合一手和二手訊息，包括來自主要行業相關人員的意見。報告包含對主要企業的分析、全面的市場規模數據、區域細分分析以及供應商格局。報告提供歷史數據和預測數據。

該研究指出，生成式人工智慧在高階模擬和最佳化領域的廣泛應用是未來幾年推動全球能源管理人工智慧市場成長的關鍵因素之一。此外，人工智慧驅動的數位雙胞胎技術在預測性和指導性資產管理方面的興起，以及對可解釋人工智慧（XAI）在提高透明度和信任度方面日益成長的關注，預計也將為市場帶來巨大的需求。

目錄

第1章執行摘要

第2章 Technavio 分析

• 價格、生命週期、顧客購買籃、採用率和購買標準分析
• 投入與差異化因素的重要性
• 混淆來源
• 促進因素和挑戰的影響

第3章 市場情勢

• 市場生態系統
• 市場特徵
• 價值鏈分析

第4章 市場規模

• 市場定義
• 市場區隔分析
• 2024年市場規模
• 2024-2029年市場展望

第5章 市場規模表現

• 2019-2023年全球能源管理領域人工智慧市場
• 應用細分市場分析 2019-2023
• 2019-2023年技術細分市場分析
• 2019-2023年最終用戶細分市場分析
• 2019-2023年區域細分市場分析
• 2019-2023年國家細分市場分析

第6章五力分析

• 五力分析概述
• 買方的議價能力
• 供應商的議價能力
• 新進入者的威脅
• 替代品的威脅
• 競爭威脅
• 市場狀況

第7章 按應用程式進行市場區隔

• 比較：透過應用
• 可再生能源管理
• 需求預測
• 網格管理
• 最佳化能源消耗
• 預測性維護
• 按應用分類的市場機會

8. 按技術分類的市場細分

• 比較：按技術
• 機器學習
• 預測分析
• 自然語言處理（NLP）
• 電腦視覺
• 科技市場機遇

9. 按最終用戶進行市場區隔

• 比較：按最終用戶
• 公共產業
• 製造業
• 住宅
• 零售
• 按最終用戶分類的市場機會

第10章 客戶情況

第11章 區域情勢

• 區域細分
• 區域比較
• 亞太地區
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲
  • 印尼
• 北美洲
  • 美國
  • 加拿大
  • 墨西哥
• 歐洲
  • 德國
  • 法國
  • 英國
  • 荷蘭
  • 義大利
  • 西班牙
• 南美洲
  • 巴西
  • 阿根廷
  • 哥倫比亞
• 中東和非洲
  • 阿拉伯聯合大公國
  • 沙烏地阿拉伯
  • 以色列
  • 南非
  • 土耳其
• 各區域的市場機遇

第12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13章 競爭格局

• 概述
• 競爭格局
• 令人困惑的局面
• 產業風險

第14章 競爭分析

• 公司簡介
• 企業排名指數
• 公司市場定位
• ABB Ltd.
• Alpiq Holding AG
• Amazon Web Services Inc.
• Atos SE
• BIDGELY INC.
• C3.ai Inc.
• GE Vernova Inc.
• Honeywell International Inc.
• IBM Corp.
• Microsoft Corp.
• Oracle Corp.
• Schneider Electric SE
• Siemens AG
• Tesla Inc.
• Vestas Wind Systems AS

第15章附錄

The global AI in energy management market is forecasted to grow by USD 16064.2 mn during 2024-2029, accelerating at a CAGR of 20.8% during the forecast period. The report on the global AI in energy management 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 imperative for grid modernization and stability, global push for decarbonization and sustainability, drive for enhanced operational efficiency and cost reduction.

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.

Technavio's global AI in energy management market is segmented as below:

By Application

• Renewable energy management
• Demand forecasting
• Grid management
• Energy consumption optimization
• Predictive maintenance

By Technology

• Machine learning
• Predictive analytics
• NLP
• Computer vision

By End-User

• Utilities
• Manufacturing
• Residential
• Retail

Geography

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

This study identifies the proliferation of generative AI for advanced simulation and optimization as one of the prime reasons driving the global AI in energy management market growth during the next few years. Also, rise of ai-powered digital twins for predictive and prescriptive asset management and increasing focus on explainable AI (xai) for transparency and trust will lead to sizable demand in the market.

The report on the global AI in energy management market covers the following areas:

• Global AI in energy management market sizing
• Global AI in energy management market forecast
• Global AI in energy management 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 AI in energy management market vendors that include ABB Ltd., Alpiq Holding AG, Amazon Web Services Inc., Atos SE, BIDGELY INC., C3.ai Inc., Enel Spa, GE Vernova Inc., Grid4C, Honeywell International Inc., IBM Corp., Innowatts Inc., iRasus, Microsoft Corp., Oracle Corp., Schneider Electric SE, Siemens AG, Tesla Inc., Vestas Wind Systems AS. Also, the global AI in energy management 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 Application
  • Executive Summary - Chart on Market Segmentation by Technology
  • Executive Summary - Chart on Market Segmentation by End-user
  • 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 2024
• 4.4 Market outlook: Forecast for 2024-2029

5 Historic Market Size

• 5.1 Global AI In Energy Management Market 2019 - 2023
  • Historic Market Size - Data Table on Global AI In Energy Management Market 2019 - 2023 ($ million)
• 5.2 Application segment analysis 2019 - 2023
  • Historic Market Size - Application Segment 2019 - 2023 ($ million)
• 5.3 Technology segment analysis 2019 - 2023
  • Historic Market Size - Technology Segment 2019 - 2023 ($ million)
• 5.4 End-user segment analysis 2019 - 2023
  • Historic Market Size - End-user Segment 2019 - 2023 ($ million)
• 5.5 Geography segment analysis 2019 - 2023
  • Historic Market Size - Geography Segment 2019 - 2023 ($ million)
• 5.6 Country segment analysis 2019 - 2023
  • Historic Market Size - Country Segment 2019 - 2023 ($ million)

6 Five Forces Analysis

• 6.1 Five forces summary
  • Five forces analysis - Comparison between 2024 and 2029
• 6.2 Bargaining power of buyers
  • Bargaining power of buyers - Impact of key factors 2024 and 2029
• 6.3 Bargaining power of suppliers
  • Bargaining power of suppliers - Impact of key factors in 2024 and 2029
• 6.4 Threat of new entrants
  • Threat of new entrants - Impact of key factors in 2024 and 2029
• 6.5 Threat of substitutes
  • Threat of substitutes - Impact of key factors in 2024 and 2029
• 6.6 Threat of rivalry
  • Threat of rivalry - Impact of key factors in 2024 and 2029
• 6.7 Market condition

7 Market Segmentation by Application

• 7.1 Market segments
• 7.2 Comparison by Application
• 7.3 Renewable energy management - Market size and forecast 2024-2029
• 7.4 Demand forecasting - Market size and forecast 2024-2029
• 7.5 Grid management - Market size and forecast 2024-2029
• 7.6 Energy consumption optimization - Market size and forecast 2024-2029
• 7.7 Predictive maintenance - Market size and forecast 2024-2029
• 7.8 Market opportunity by Application
  • Market opportunity by Application ($ million)

8 Market Segmentation by Technology

• 8.1 Market segments
• 8.2 Comparison by Technology
• 8.3 Machine learning - Market size and forecast 2024-2029
• 8.4 Predictive analytics - Market size and forecast 2024-2029
• 8.5 NLP - Market size and forecast 2024-2029
• 8.6 Computer vision - Market size and forecast 2024-2029
• 8.7 Market opportunity by Technology
  • Market opportunity by Technology ($ million)

9 Market Segmentation by End-user

• 9.1 Market segments
• 9.2 Comparison by End-user
• 9.3 Utilities - Market size and forecast 2024-2029
• 9.4 Manufacturing - Market size and forecast 2024-2029
• 9.5 Residential - Market size and forecast 2024-2029
• 9.6 Retail - Market size and forecast 2024-2029
• 9.7 Market opportunity by End-user
  • Market opportunity by End-user ($ million)

10 Customer Landscape

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

11 Geographic Landscape

• 11.1 Geographic segmentation
• 11.2 Geographic comparison
• 11.3 APAC - Market size and forecast 2024-2029
  • 11.3.1 China - Market size and forecast 2024-2029
  • 11.3.2 India - Market size and forecast 2024-2029
  • 11.3.3 Japan - Market size and forecast 2024-2029
  • 11.3.4 South Korea - Market size and forecast 2024-2029
  • 11.3.5 Australia - Market size and forecast 2024-2029
  • 11.3.6 Indonesia - Market size and forecast 2024-2029
• 11.4 North America - Market size and forecast 2024-2029
  • 11.4.1 US - Market size and forecast 2024-2029
  • 11.4.2 Canada - Market size and forecast 2024-2029
  • 11.4.3 Mexico - Market size and forecast 2024-2029
• 11.5 Europe - Market size and forecast 2024-2029
  • 11.5.1 Germany - Market size and forecast 2024-2029
  • 11.5.2 France - Market size and forecast 2024-2029
  • 11.5.3 UK - Market size and forecast 2024-2029
  • 11.5.4 The Netherlands - Market size and forecast 2024-2029
  • 11.5.5 Italy - Market size and forecast 2024-2029
  • 11.5.6 Spain - Market size and forecast 2024-2029
• 11.6 South America - Market size and forecast 2024-2029
  • 11.6.1 Brazil - Market size and forecast 2024-2029
  • 11.6.2 Argentina - Market size and forecast 2024-2029
  • 11.6.3 Colombia - Market size and forecast 2024-2029
• 11.7 Middle East and Africa - Market size and forecast 2024-2029
  • 11.7.1 UAE - Market size and forecast 2024-2029
  • 11.7.2 Saudi Arabia - Market size and forecast 2024-2029
  • 11.7.3 Israel - Market size and forecast 2024-2029
  • 11.7.4 South Africa - Market size and forecast 2024-2029
  • 11.7.5 Turkey - Market size and forecast 2024-2029
• 11.8 Market opportunity by geography
  • Market opportunity by geography ($ million)
  • Data Tables on Market opportunity by geography ($ million)

12 Drivers, Challenges, and Opportunity

• 12.1 Market drivers
  • Imperative for grid modernization and stability
  • Global push for decarbonization and sustainability
  • Drive for enhanced operational efficiency and cost reduction
• 12.2 Market challenges
  • Cybersecurity vulnerabilities and data privacy concerns
  • Integration with legacy infrastructure and data interoperability
  • Workforce skills gap and talent shortage
• 12.3 Impact of drivers and challenges
  • Impact of drivers and challenges in 2024 and 2029
• 12.4 Market opportunities
  • Proliferation of generative AI for advanced simulation and optimization
  • Rise of AI-powered digital twins for predictive and prescriptive asset management
  • Increasing focus on explainable AI (XAI) for transparency and trust

13 Competitive Landscape

• 13.1 Overview
• 13.2 Competitive Landscape
  • Overview on criticality of inputs and factors of differentiation
• 13.3 Landscape disruption
  • Overview on factors of disruption
• 13.4 Industry risks
  • Impact of key risks on business

14 Competitive Analysis

• 14.1 Companies profiled
  • Companies covered
• 14.2 Company ranking index
  • Company ranking index
• 14.3 Market positioning of companies
  • Matrix on companies position and classification
• 14.4 ABB Ltd.
  • ABB Ltd. - Overview
  • ABB Ltd. - Business segments
  • ABB Ltd. - Key news
  • ABB Ltd. - Key offerings
  • ABB Ltd. - Segment focus
  • SWOT
• 14.5 Alpiq Holding AG
  • Alpiq Holding AG - Overview
  • Alpiq Holding AG - Product / Service
  • Alpiq Holding AG - Key offerings
  • SWOT
• 14.6 Amazon Web Services Inc.
  • Amazon Web Services Inc. - Overview
  • Amazon Web Services Inc. - Product / Service
  • Amazon Web Services Inc. - Key news
  • Amazon Web Services Inc. - Key offerings
  • SWOT
• 14.7 Atos SE
  • Atos SE - Overview
  • Atos SE - Business segments
  • Atos SE - Key news
  • Atos SE - Key offerings
  • Atos SE - Segment focus
  • SWOT
• 14.8 BIDGELY INC.
  • BIDGELY INC. - Overview
  • BIDGELY INC. - Product / Service
  • BIDGELY INC. - Key offerings
  • SWOT
• 14.9 C3.ai Inc.
  • C3.ai Inc. - Overview
  • C3.ai Inc. - Product / Service
  • C3.ai Inc. - Key news
  • C3.ai Inc. - Key offerings
  • SWOT
• 14.10 GE Vernova Inc.
  • GE Vernova Inc. - Overview
  • GE Vernova Inc. - Business segments
  • GE Vernova Inc. - Key offerings
  • GE Vernova Inc. - Segment focus
  • SWOT
• 14.11 Honeywell International Inc.
  • Honeywell International Inc. - Overview
  • Honeywell International Inc. - Business segments
  • Honeywell International Inc. - Key news
  • Honeywell International Inc. - Key offerings
  • Honeywell International Inc. - Segment focus
  • SWOT
• 14.12 IBM Corp.
  • IBM Corp. - Overview
  • IBM Corp. - Business segments
  • IBM Corp. - Key news
  • IBM Corp. - Key offerings
  • IBM Corp. - Segment focus
  • SWOT
• 14.13 Microsoft Corp.
  • Microsoft Corp. - Overview
  • Microsoft Corp. - Business segments
  • Microsoft Corp. - Key news
  • Microsoft Corp. - Key offerings
  • Microsoft Corp. - Segment focus
  • SWOT
• 14.14 Oracle Corp.
  • Oracle Corp. - Overview
  • Oracle Corp. - Business segments
  • Oracle Corp. - Key news
  • Oracle Corp. - Key offerings
  • Oracle Corp. - Segment focus
  • SWOT
• 14.15 Schneider Electric SE
  • Schneider Electric SE - Overview
  • Schneider Electric SE - Business segments
  • Schneider Electric SE - Key news
  • Schneider Electric SE - Key offerings
  • Schneider Electric SE - Segment focus
  • SWOT
• 14.16 Siemens AG
  • Siemens AG - Overview
  • Siemens AG - Business segments
  • Siemens AG - Key news
  • Siemens AG - Key offerings
  • Siemens AG - Segment focus
  • SWOT
• 14.17 Tesla Inc.
  • Tesla Inc. - Overview
  • Tesla Inc. - Business segments
  • Tesla Inc. - Key news
  • Tesla Inc. - Key offerings
  • Tesla Inc. - Segment focus
  • SWOT
• 14.18 Vestas Wind Systems AS
  • Vestas Wind Systems AS - Overview
  • Vestas Wind Systems AS - Business segments
  • Vestas Wind Systems AS - Key offerings
  • Vestas Wind Systems AS - Segment focus
  • SWOT

15 Appendix

• 15.1 Scope of the report
  • Market definition
  • Objectives
  • Notes and caveats
• 15.2 Inclusions and exclusions checklist
  • Inclusions checklist
  • Exclusions checklist
• 15.3 Currency conversion rates for US$
  • Currency conversion rates for US$
• 15.4 Research methodology
  • Research methodology
• 15.5 Data procurement
  • Information sources
• 15.6 Data validation
  • Data validation
• 15.7 Validation techniques employed for market sizing
  • Validation techniques employed for market sizing
• 15.8 Data synthesis
  • Data synthesis
• 15.9 360 degree market analysis
  • 360 degree market analysis
• 15.10 List of abbreviations
  • List of abbreviations