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1888064

2025年全球能源和公共產業應用人工智慧（AI）市場報告

Applied Artificial Intelligence (AI) In Energy And Utilities Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10個工作天內

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簡介目錄

近年來，人工智慧（AI）在能源和公共產業市場的應用發展迅速，預計將從2024年的31.7億美元成長到2025年的38億美元，複合年成長率（CAGR）為19.7%。過去幾年的成長可歸因於智慧電網技術的日益普及、對能源效率需求的不斷成長、再生能源來源的日益廣泛、公共產業領域對預測性維護的需求不斷成長以及能源基礎設施數位轉型投資的增加。

預計未來幾年，能源和公共產業領域應用人工智慧（AI）的市場規模將快速成長，到2029年將達到77億美元，複合年成長率（CAGR）為19.3%。預測期內的成長可能主要受以下因素驅動：公共產業領域對基於人工智慧的分析技術的日益普及、對營運效率的日益關注、智慧電錶和感測器的廣泛部署、再生能源來源併網程度的提高以及電網現代化投資的增加。預測期內的關鍵趨勢包括：自主電網管理技術的進步、人工智慧驅動的能源預測工具的開發、公共產業數位雙胞胎技術的創新、人工智慧可再生能源併網系統的進步以及用於即時能源最佳化的邊緣人工智慧的興起。

電力需求的成長預計將推動應用人工智慧（AI）在能源和公共產業領域的市場發展。電力需求的成長主要源自於工業化、都市化以及各產業的電氣化等因素。隨著產業擴張，支持機械設備、生產流程和整體營運的電力需求不斷成長，導致能源消費量增加。應用人工智慧在能源和公共產業領域能夠透過預測消費趨勢、提高電網效率和實現更智慧的能源分配，幫助管理和最佳化電力需求。例如，美國能源資訊署（EIA）預測，到2026年，美國電力消耗量的年均成長率將達到1.7%，其中商業和工業部門的成長率預計分別為2.6%和2.1%，而住宅用電需求的成長率相對較低，為0.7%。因此，電力需求的成長是推動人工智慧在能源和公共產業領域應用擴張的主要動力。

應用人工智慧能源和公共產業市場的企業正致力於開發能夠提升電網效率、韌性和擴充性的解決方案，使公共產業能夠快速擴展容量並更有效地管理分散式能源。借助分散式人工智慧驅動的能源系統，公共產業可以最佳化電力分配並確保可靠的能源供應。例如，西門子公司於2024年2月發布了Gridscale X，這是一款支援電網自主運作的新一代電網管理套件。該人工智慧驅動平台具備即時分析、預測性維護數位雙胞胎整合等功能，使電力公司能夠自動檢測故障並最佳化能量流，從而建立更智慧、更永續的能源網路。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅，以及新冠疫情及其復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 全球應用人工智慧（AI）在能源和公共產業領域的應用：PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
  • 終端用戶產業分析
  • 全球能源和公共產業領域應用人工智慧（AI）市場：成長率分析
  • 全球應用人工智慧（AI）市場在能源和公共產業領域的表現：規模和成長，2019-2024年
  • 全球能源和公共產業領域應用人工智慧（AI）市場：規模和成長，2024-2029年，2034年預測
  • 全球能源和公共產業領域應用人工智慧 (AI)：潛在市場規模 (TAM)

第6章 市場細分

  • 全球能源和公共產業領域應用人工智慧（AI）市場按類型、性能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 預測分析
  • 資產最佳化
  • 網格管理
  • 客戶參與
  • 能源交易
  • 可再生能源併網
  • 全球能源和公共產業領域應用人工智慧（AI）市場：按部署、性能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 雲端基礎的
  • 本地部署
  • 全球能源和公共產業領域應用人工智慧（AI）市場：按應用、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 機器人技術
  • 可再生能源管理
  • 需求預測
  • 基於人工智慧的庫存管理
  • 能源生產與調度
  • 資產追蹤和維護
  • 數位雙胞胎
  • 基於人工智慧的網路安全
  • 排放追蹤
  • 物流網路最佳化
  • 全球能源和公共產業領域應用人工智慧（AI）市場：按最終用戶、效能和預測分類，2019-2024年、2024-2029年預測、2034年預測
  • 電力業務
  • 石油和天然氣
  • 可再生能源公司
  • 工業能源用戶
  • 能源服務供應商
  • 全球能源和公共產業領域應用人工智慧（AI）市場：細分、預測分析、按類型、效能和預測（2019-2024年、2024-2029年預測、2034年預測）
  • 負荷預測
  • 設備故障預測
  • 預測性維護
  • 需求預測
  • 全球能源和公共產業領域應用人工智慧（AI）市場：按資產最佳化、類型、實際值和預測值細分，2019-2024年、2024-2029年預測值、2034年預測值
  • 資產健康監測
  • 績效分析
  • 生命週期管理
  • 基於狀態的維護
  • 全球能源和公共產業領域應用人工智慧（AI）市場：按電網管理、類型、性能和預測進行細分，2019-2024年、2024-2029年預測、2034年預測
  • 智慧電網自動化
  • 故障檢測與恢復
  • 電壓和頻率控制
  • 能量流最佳化
  • 全球能源和公共產業領域應用人工智慧 (AI) 市場：客戶參與、類型、實際值和預測值細分，2019-2024 年、2024-2029 年預測值、2034 年預測值
  • 智慧收費和定價分析
  • 能源使用分析
  • 個人化能源建議
  • 客戶服務自動化
  • 全球能源及公共產業領域應用人工智慧（AI）市場：依能源交易類型細分、績效及預測（2019-2024年、2024-2029年預測、2034年預測）。
  • 價格預測
  • 市場風險分析
  • 自動交易演算法
  • 投資組合最佳化
  • 全球能源和公共產業領域應用人工智慧（AI）市場：按可再生能源併網（按類型）細分，實際結果和預測，2019-2024年、2024-2029年預測、2034年預測
  • 可再生能源發電預測
  • 分散式能源資源（DER）管理
  • 儲能最佳化
  • 併網平衡和穩定控制

第7章 區域和國家分析

  • 全球能源與公共產業領域應用人工智慧（AI）市場：區域分析、表現及預測（2019-2024年、2024-2029年預測、2034年預測）
  • 全球能源與公共產業領域應用人工智慧（AI）市場：國家、績效與預測，2019-2024年、2024-2029年預測、2034年預測

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章：澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章：德國市場

第18章：法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章：競爭格局與公司概況

  • 人工智慧在能源和公共產業領域的應用：競爭格局
  • 能源和公共產業領域應用人工智慧（AI）市場：公司概況
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • E.ON SE Overview, Products and Services, Strategy and Financial Analysis
    • Enel SpA Overview, Products and Services, Strategy and Financial Analysis
    • Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他領先和創新企業

  • Accenture plc
  • IBM Corporation
  • Iberdrola SA
  • Oracle Corporation
  • Schneider Electric SE
  • Honeywell International Inc.
  • SAP SE
  • ABB Ltd
  • NVIDIA Corporation
  • Capgemini SE
  • Infosys Ltd.
  • Wipro Ltd.
  • Palantir Technologies Inc.
  • Teradata Corporation
  • C3.ai Inc.

第32章 全球市場競爭基準化分析與儀錶板

第33章 重大併購

第34章 近期市場趨勢

第35章：高潛力市場國家、細分市場與策略

  • 2029年能源與公共產業領域人工智慧（AI）應用：一個充滿新機會的國家
  • 2029年能源與公共產業領域人工智慧（AI）應用：充滿新機會的細分市場
  • 2029年能源與公共產業領域人工智慧（AI）應用：成長策略
    • 基於市場趨勢的策略
    • 競爭對手策略

第36章附錄

簡介目錄
Product Code: r39439

Applied artificial intelligence (AI) in the energy and utilities sector refers to the implementation of AI technologies to optimize the production, distribution, and consumption of energy. Its primary goal is to boost efficiency, lower operational expenses, enhance grid reliability, and support the integration of renewable energy sources.

The main types of applied artificial intelligence (AI) in energy and utilities include predictive analytics, asset optimization, grid management, customer engagement, energy trading, and renewable integration. Applied artificial intelligence (AI) in energy and utilities predictive analytics involves the use of advanced AI algorithms and machine learning models to examine large volumes of real-time and historical energy data to forecast future events, trends, or potential failures across power systems and utility operations. It is deployed through cloud-based and on-premises modes for applications such as robotics, renewable energy management, demand forecasting, AI-driven inventory management, energy production and scheduling, asset tracking and maintenance, digital twins, AI-based cybersecurity, emission monitoring, and logistics network operations. The major end users include electric utilities, oil and gas companies, renewable energy firms, industrial energy consumers, and energy service providers.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the utilities sector, particularly in power generation, grid infrastructure, and renewable energy projects. Higher duties on imported equipment such as turbines, transformers, solar panels, and battery storage systems have increased capital and operational costs for utility providers, forcing them to reconsider project timelines or pass on expenses to consumers through higher energy rates. The water and waste management segments are also affected, with tariffs driving up the cost of essential machinery, piping, and treatment technologies. Additionally, retaliatory tariffs have disrupted global supply chains for critical raw materials like rare earth metals used in clean energy technologies, further complicating the transition to sustainable energy sources. The sector must now prioritize domestic sourcing, digitalization, and efficiency-driven innovations to manage escalating costs while ensuring energy security and regulatory compliance.

The applied artificial intelligence (AI) in energy and utilities market research report is one of a series of new reports from The Business Research Company that provides applied artificial intelligence (AI) in energy and utilities market statistics, including applied artificial intelligence (AI) in energy and utilities industry global market size, regional shares, competitors with a applied artificial intelligence (AI) in energy and utilities market share, detailed applied artificial intelligence (AI) in energy and utilities market segments, market trends and opportunities, and any further data you may need to thrive in the applied artificial intelligence (AI) in energy and utilities industry. This applied artificial intelligence (AI) in energy and utilities market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future scenario of the industry.

The applied artificial intelligence (AI) in the energy and utilities market size has grown rapidly in recent years. It will grow from $3.17 billion in 2024 to $3.80 billion in 2025 at a compound annual growth rate (CAGR) of 19.7%. The growth in the historic period can be linked to the increasing adoption of smart grid technologies, growing demand for energy efficiency, rising integration of renewable energy sources, expanding need for predictive maintenance in utilities, and increasing investment in the digital transformation of energy infrastructure.

The applied artificial intelligence (AI) in the energy and utilities market size is expected to see rapid growth in the next few years. It will grow to $7.70 billion in 2029 at a compound annual growth rate (CAGR) of 19.3%. The growth in the forecast period can be driven by the rising adoption of AI-based analytics in utilities, a stronger focus on operational efficiency, wider deployment of smart meters and sensors, increasing integration of renewable energy sources, and greater investment in grid modernization. Major trends in the forecast period include advancements in autonomous grid management, the development of AI-powered energy forecasting tools, innovation in digital twin technology for utilities, progress in AI-enabled renewable integration systems, and the emergence of edge AI for real-time energy optimization.

The increasing demand for electricity is expected to drive the growth of the applied artificial intelligence (AI) market in the energy and utilities sector. This rise in electricity demand is largely attributed to factors such as industrialization, urbanization, and the electrification of various sectors. As industries expand, their need for power to support machinery, production processes, and overall operations grows, leading to higher energy consumption. Applied AI in energy and utilities helps manage and optimize electricity demand by forecasting consumption trends, enhancing grid efficiency, and enabling smarter energy distribution. For example, the U.S. Energy Information Administration (EIA) projects that electricity consumption in the United States will grow at an average annual rate of 1.7%, with the commercial sector increasing by 2.6% and the industrial sector rising by 2.1%, while residential demand is expected to grow more modestly at 0.7% in 2026. As a result, the growing demand for electricity is a significant driver of the expansion of AI applications in the energy and utilities market.

Companies in the applied AI energy and utilities market are focusing on developing solutions that improve grid efficiency, resilience, and scalability, allowing utilities to rapidly expand capacity and better manage distributed energy resources. By leveraging decentralized, AI-powered energy systems, utilities can optimize power distribution and ensure reliable energy delivery. For example, in February 2024, Siemens AG launched Gridscale X, a next-generation grid management suite designed to support autonomous grid operations. This AI-driven platform features real-time analytics, predictive maintenance, and digital twin integration, enabling utilities to detect faults automatically and optimize energy flow, ultimately building smarter and more sustainable energy networks.

In March 2025, Siemens AG acquired Altair Engineering Inc. to enhance its AI-driven solutions for the energy and utilities sector. This acquisition allows Siemens to integrate Altair's advanced simulation, high-performance computing, and AI-driven data science capabilities into its Xcelerator digital platform. Altair Engineering, a U.S.-based company, specializes in applied AI solutions for the energy and utilities industries, further strengthening Siemens' leadership in industrial software and AI-powered design and simulation.

Major players in the applied artificial intelligence (AI) in energy and utilities market are Microsoft Corporation, E.ON SE, Enel S.p.A., Siemens AG, Hitachi Ltd., Accenture plc, IBM Corporation, Iberdrola S.A., Oracle Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd, NVIDIA Corporation, Capgemini SE, Infosys Ltd., Wipro Ltd., Palantir Technologies Inc., Teradata Corporation, C3.ai Inc., Stem Inc., AutoGrid Systems Inc., Bidgely Inc., and Verdigris Technologies Inc.

North America was the largest region in the applied artificial intelligence (AI) in the energy and utilities market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in applied artificial intelligence (AI) in energy and utilities report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the applied artificial intelligence (AI) in energy and utilities market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The applied artificial intelligence (AI) in the energy and utilities market consists of revenues earned by entities by providing services such as predictive maintenance of energy infrastructure, smart grid optimization, demand response management, and energy consumption forecasting. The market value includes the value of related goods sold by the service provider or included within the service offering. The applied artificial intelligence (AI) in the energy and utilities market also consists of sales of products including AI-powered energy management systems, smart sensors, intelligent grid controllers, predictive analytics software, and automated monitoring platforms. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

Applied Artificial Intelligence (AI) In Energy And Utilities Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on applied artificial intelligence (ai) in energy and utilities market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for applied artificial intelligence (ai) in energy and utilities ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The applied artificial intelligence (ai) in energy and utilities market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

  • The market characteristics section of the report defines and explains the market.
  • The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
  • The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • Market segmentations break down the market into sub markets.
  • The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth.
  • The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
  • The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

  • Markets Covered:1) By Type: Predictive Analytics; Asset Optimization; Grid Management; Customer Engagement; Energy Trading; Renewable Integration
  • 2) By Deployment: Cloud-Based; On-Premises
  • 3) By Application: Robotics; Renewables Management; Demand Forecasting; AI-Based Inventory Management; Energy Production And Scheduling; Asset Tracking And Maintenance; Digital Twins; AI-Based Cybersecurity; Emission Tracking; Logistics Network Operation
  • 4) By End-User: Electric Utilities; Oil And Gas; Renewable Energy Companies; Industrial Energy Users; Energy Service Providers
  • Subsegments:
  • 1) By Predictive Analytics: Load Forecasting; Equipment Failure Prediction; Predictive Maintenance; Demand Forecasting
  • 2) By Asset Optimization: Asset Health Monitoring; Performance Analytics; Lifecycle Management; Condition-Based Maintenance
  • 3) By Grid Management: Smart Grid Automation; Fault Detection And Restoration; Voltage And Frequency Control; Energy Flow Optimization
  • 4) By Customer Engagement: Smart Billing And Pricing Analytics; Energy Usage Insights; Personalized Energy Recommendations; Customer Service Automation
  • 5) By Energy Trading: Price Forecasting; Market Risk Analysis; Automated Trading Algorithms; Portfolio Optimization
  • 6) By Renewable Integration: Renewable Generation Forecasting; Distributed Energy Resource (DER) Management; Energy Storage Optimization; Grid Balancing And Stability Control
  • Companies Mentioned: Microsoft Corporation; E.ON SE; Enel S.p.A.; Siemens AG; Hitachi Ltd.; Accenture plc; IBM Corporation; Iberdrola S.A.; Oracle Corporation; Schneider Electric SE; Honeywell International Inc.; SAP SE; ABB Ltd; NVIDIA Corporation; Capgemini SE; Infosys Ltd.; Wipro Ltd.; Palantir Technologies Inc.; Teradata Corporation; C3.ai Inc.; Stem Inc.; AutoGrid Systems Inc.; Bidgely Inc.; Verdigris Technologies Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Applied Artificial Intelligence (AI) In Energy And Utilities Market Characteristics

3. Applied Artificial Intelligence (AI) In Energy And Utilities Market Trends And Strategies

4. Applied Artificial Intelligence (AI) In Energy And Utilities Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Applied Artificial Intelligence (AI) In Energy And Utilities Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Applied Artificial Intelligence (AI) In Energy And Utilities PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market Growth Rate Analysis
  • 5.4. Global Applied Artificial Intelligence (AI) In Energy And Utilities Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Applied Artificial Intelligence (AI) In Energy And Utilities Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Applied Artificial Intelligence (AI) In Energy And Utilities Total Addressable Market (TAM)

6. Applied Artificial Intelligence (AI) In Energy And Utilities Market Segmentation

  • 6.1. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics
  • Asset Optimization
  • Grid Management
  • Customer Engagement
  • Energy Trading
  • Renewable Integration
  • 6.2. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premises
  • 6.3. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Robotics
  • Renewables Management
  • Demand Forecasting
  • AI-Based Inventory Management
  • Energy Production And Scheduling
  • Asset Tracking And Maintenance
  • Digital Twins
  • AI-Based Cybersecurity
  • Emission Tracking
  • Logistics Network Optimizations
  • 6.4. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Electric Utilities
  • Oil And Gas
  • Renewable Energy Companies
  • Industrial Energy Users
  • Energy Service Providers
  • 6.5. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Predictive Analytics, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Load Forecasting
  • Equipment Failure Prediction
  • Predictive Maintenance
  • Demand Forecasting
  • 6.6. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Asset Optimization, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Asset Health Monitoring
  • Performance Analytics
  • Lifecycle Management
  • Condition-Based Maintenance
  • 6.7. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Grid Management, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Smart Grid Automation
  • Fault Detection And Restoration
  • Voltage And Frequency Control
  • Energy Flow Optimization
  • 6.8. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Customer Engagement, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Smart Billing And Pricing Analytics
  • Energy Usage Insights
  • Personalized Energy Recommendations
  • Customer Service Automation
  • 6.9. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Energy Trading, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Price Forecasting
  • Market Risk Analysis
  • Automated Trading Algorithms
  • Portfolio Optimization
  • 6.10. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Renewable Integration, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Renewable Generation Forecasting
  • Distributed Energy Resource (DER) Management
  • Energy Storage Optimization
  • Grid Balancing And Stability Control

7. Applied Artificial Intelligence (AI) In Energy And Utilities Market Regional And Country Analysis

  • 7.1. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 8.1. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 9.1. China Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 9.2. China Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 10.1. India Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 11.1. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 11.2. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 12.1. Australia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 13.1. Indonesia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 14.1. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 14.2. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 15.1. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 15.2. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 16.1. UK Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 17.1. Germany Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 18.1. France Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 19.1. Italy Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 20.1. Spain Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 21.1. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 21.2. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 22.1. Russia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 23.1. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 23.2. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 24.1. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 24.2. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 25.1. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 25.2. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 26.1. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 26.2. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 27.1. Brazil Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 28.1. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 28.2. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 29.1. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 29.2. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Applied Artificial Intelligence (AI) In Energy And Utilities Market Competitive Landscape And Company Profiles

  • 30.1. Applied Artificial Intelligence (AI) In Energy And Utilities Market Competitive Landscape
  • 30.2. Applied Artificial Intelligence (AI) In Energy And Utilities Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. E.ON SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Enel S.p.A. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

31. Applied Artificial Intelligence (AI) In Energy And Utilities Market Other Major And Innovative Companies

  • 31.1. Accenture plc
  • 31.2. IBM Corporation
  • 31.3. Iberdrola S.A.
  • 31.4. Oracle Corporation
  • 31.5. Schneider Electric SE
  • 31.6. Honeywell International Inc.
  • 31.7. SAP SE
  • 31.8. ABB Ltd
  • 31.9. NVIDIA Corporation
  • 31.10. Capgemini SE
  • 31.11. Infosys Ltd.
  • 31.12. Wipro Ltd.
  • 31.13. Palantir Technologies Inc.
  • 31.14. Teradata Corporation
  • 31.15. C3.ai Inc.

32. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Applied Artificial Intelligence (AI) In Energy And Utilities Market

34. Recent Developments In The Applied Artificial Intelligence (AI) In Energy And Utilities Market

35. Applied Artificial Intelligence (AI) In Energy And Utilities Market High Potential Countries, Segments and Strategies

  • 35.1 Applied Artificial Intelligence (AI) In Energy And Utilities Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Applied Artificial Intelligence (AI) In Energy And Utilities Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Applied Artificial Intelligence (AI) In Energy And Utilities Market In 2029 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

  • 36.1. Abbreviations
  • 36.2. Currencies
  • 36.3. Historic And Forecast Inflation Rates
  • 36.4. Research Inquiries
  • 36.5. The Business Research Company
  • 36.6. Copyright And Disclaimer