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市场调查报告书
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1921372

2026年全球能源电力人工智慧（AI）市场报告

Artificial Intelligence (AI) in Energy And Power Global Market Report 2026
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

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简介目录

近年来，人工智慧（AI）在能源电力市场的规模迅速扩张，预计将从2025年的64.5亿美元成长到2026年的79.5亿美元，复合年增长率（CAGR）为23.2%。过去几年的成长被认为归因于多种因素，例如预测性维护工具的早期应用、可再生能源渗透率的不断提高、对需求预测系统的需求不断增长、智慧电錶的普及以及数位监控基础设施的扩展。

预计未来几年，能源电力产业的人工智慧（AI）市场将呈指数级成长，到2030年市场规模将达到183.1亿美元，复合年增长率（CAGR）为23.2%。预测期内的成长可归因于人工智慧驱动的电网自动化技术的进步、分散式能源的日益普及、对即时负载平衡需求的不断增长、基于人工智慧的能源分析平台的扩展以及用于能源优化的机器学习模型的进步。预测期内的关键趋势包括：人工智慧在需求预测优化方面的应用日益广泛、人工智慧赋能的智慧电网系统应用不断增长、人工智慧在可再生能源併网中的应用日益广泛、基于人工智慧的能源管理解决方案的扩展以及人工智慧在配电和负载平衡中的应用日益增强。

预计未来一段时间内，能源领域的投资成长将推动人工智慧（AI）在能源和电力市场的扩张。这些投资涉及资源（通常是资本）的配置，旨在随着时间的推移创造收入和利润。在能源和电力领域，投资在利用各种形式的人工智慧（AI）方面发挥了关键作用，以增强决策能力、优化营运、改善能源管理并提高整个行业的服务可靠性和品质。例如，总部位于法国的政府间组织—国际能源总署（IEA）在2025年10月报告称，预计到2025年，能源领域的资本投资将达到3.3兆美元，比2024年实际成长2%。因此，能源领域投资的成长正在成为人工智慧（AI）在能源和电力市场发展的催化剂。

能源和电力市场的主要企业正致力于开发创新 AI 技术，以满足商业客户不断变化的能源需求。 Gridmatic Retail 就是一个例证，它是一个基于 AI 的电力销售平台，能够优化清洁能源采购，并为具有先进能源需求的工商业客户提供可预测性和自动化服务。 Gridmatic 于 2023 年 1 月推出 Gridmatic Retail，旨在简化可再生能源采购流程，并为客户提供新一代零售能源产品，包括分时可再生能源、全天候无碳能源和负载可变合约。凭藉业界领先的 AI 技术，Gridmatic Retail 提供先进的分时可再生能源合约和客製化产品，满足客户多样化且复杂的能源需求，加速向净零排放转型，并协助实现再生可再生平衡电网。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球能源电力产业人工智慧（AI）市场：吸引力评分及分析
  • 成长潜力分析、竞争评估、策略契合度评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 主要原料、资源和供应商清单
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章 全球市场趋势与策略

  • 关键技术和未来趋势
    • 人工智慧（AI）和自主智能
    • 永续性、气候技术和循环经济
    • 物联网 (IoT)、智慧基础设施和互联生态系统
    • 数位化、云端运算、巨量资料、网路安全
    • 工业4.0和智慧製造
  • 主要趋势
    • 人工智慧在需求预测优化的应用日益广泛
    • 人工智慧赋能的智慧电网系统的应用日益普及
    • 人工智慧在可再生能源併网中的应用日益广泛
    • 基于人工智慧的能源管理解决方案的扩展
    • 人工智慧在配电和负载平衡的应用日益广泛

第五章 终端用户产业市场分析

  • 商业和工业
  • 住宅
  • 能源公共产业
  • 可再生能源公司
  • 智慧电网服务供应商

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及新冠疫情对市场的影响

第七章 全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球能源电力产业人工智慧（AI）市场：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 全球人工智慧（AI）市场规模、比较和成长率分析—能源电力产业
  • 全球人工智慧（AI）市场在能源电力产业的表现：规模与成长，2020-2025年
  • 全球能源电力产业人工智慧（AI）市场：规模与成长，2025-2030年及2035年预测

第八章 全球潜在市场总量（TAM）

第九章 市场细分

  • 透过技术
  • 机器学习、自然语言处理、电脑视觉
  • 透过使用
  • 需求预测、能源生产与分配优化、能源管理、智慧电网、智慧电錶及其他应用
  • 最终用户
  • 适用于商业/工业用途、住宅用途
  • 机器学习按类型细分
  • 预测性维护、需求预测、能源管理系统
  • 自然语言处理 (NLP) 依类型进行子分割
  • 用于客户服务的聊天机器人、用于能源管理的语音助理、文件分析和报告
  • 电脑视觉细分，按类型
  • 资产监控与检查、安全监控系统、设备故障侦测

第十章 区域与国家分析

  • 全球能源电力产业人工智慧（AI）市场：按地区、绩效和预测划分，2020-2025年、2025-2030年预测、2035年预测
  • 全球能源电力产业人工智慧（AI）市场：按国家、绩效和预测划分，2020-2025年、2025-2030年预测、2035年预测

第十一章 亚太市场

第十二章：中国市场

第十三章 印度市场

第十四章 日本市场

第十五章：澳洲市场

第十六章 印尼市场

第十七章 韩国市场

第十八章 台湾市场

第十九章 东南亚市场

第二十章：西欧市场

第21章英国市场

第22章 德国市场

第23章：法国市场

第24章：义大利市场

第25章：西班牙市场

第26章 东欧市场

第27章：俄罗斯市场

第28章 北美市场

第29章美国市场

第30章：加拿大市场

第31章 南美洲市场

第32章：巴西市场

第33章 中东市场

第34章：非洲市场

第35章 市场监理与投资环境

第36章：竞争格局与公司概况

  • 人工智慧在能源电力领域的应用：竞争格局与市场占有率（2024 年）
  • 能源电力产业人工智慧（AI）市场：公司估值矩阵
  • 能源电力产业的人工智慧（AI）市场：公司概况
    • Google LLC
    • Microsoft Corporation
    • Mitsubishi Electric Corporation
    • Bosch.IO
    • Siemens AG

第37章：其他领先和创新企业

  • General Electric Company, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Group, NVIDIA Corporation, Toshiba Corporation, Emerson Electric Co, Rockwell Automation Inc., SAS Institute Inc, DNV GL, Sierra Wireless Inc.

第38章 全球市场竞争基准分析与仪錶板

第39章 重大併购

第四十章：高潜力市场国家、细分市场与策略

  • 2030年能源与电力领域的人工智慧（AI）：一个充满新机会的国家
  • 2030年能源与电力领域的人工智慧（AI）：充满新机会的细分市场
  • 2030年能源电力产业人工智慧（AI）市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第41章附录

简介目录
Product Code: EE3MAIAE05_G26Q1

Artificial intelligence (AI) in energy and power involves utilizing AI technologies to optimize energy systems, reduce costs, and enhance efficiency within the energy and power sectors. It encompasses improving predictions of supply and demand, optimizing renewable energy systems such as wind and solar power, and optimizing energy production such as oil and gas exploration and production.

The primary types of technologies in AI for energy and power include machine learning, natural language processing, and computer vision. Machine learning (ML) is a subset of AI that focuses on developing algorithms and statistical models enabling computer systems to enhance their performance on specific tasks over time without explicit programming. It finds applications in various areas, including demand forecasting, energy production and distribution optimization, energy management, smart grids, smart meters, among others. End-users of AI in energy and power span across commercial, industrial, and residential sectors.

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.

Tariffs on electronic components, sensors, and computing hardware used in AI based energy systems have raised production and deployment costs, particularly affecting smart grid and renewable energy applications in regions reliant on imported technologies. These tariffs most impact commercial and industrial end users, utilities, and smart meter deployments. Despite these constraints, tariffs encourage domestic hardware development, promote software centric AI innovation, and support localized manufacturing, creating selective opportunities for cost efficient AI energy solutions.

The artificial intelligence (AI) in energy and power market research report is one of a series of new reports from The Business Research Company that provides artificial intelligence (AI) in energy and power market statistics, including artificial intelligence (AI) in energy and power industry global market size, regional shares, competitors with an artificial intelligence (AI) in energy and power market share, detailed artificial intelligence (AI) in energy and power market segments, market trends and opportunities, and any further data you may need to thrive in the artificial intelligence (AI) in energy and power industry. This artificial intelligence (AI) in energy and power 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 artificial intelligence (AI) in energy and power market size has grown exponentially in recent years. It will grow from $6.45 billion in 2025 to $7.95 billion in 2026 at a compound annual growth rate (CAGR) of 23.2%. The growth in the historic period can be attributed to early adoption of predictive maintenance tools, rise in renewable energy penetration, growth in demand forecasting systems, increased deployment of smart meters, expansion of digital monitoring infrastructure.

The artificial intelligence (AI) in energy and power market size is expected to see exponential growth in the next few years. It will grow to $18.31 billion in 2030 at a compound annual growth rate (CAGR) of 23.2%. The growth in the forecast period can be attributed to growth in AI driven grid automation, rising adoption of distributed energy resources, increasing need for real time load balancing, expansion of AI based energy analytics platforms, advancement in machine learning models for energy optimization. Major trends in the forecast period include growing use of AI for demand forecasting optimization, increasing adoption of AI enabled smart grid systems, rising deployment of AI in renewable energy integration, expansion of AI based energy management solutions, enhanced use of AI for power distribution and load balancing.

The increasing investments in the energy sector are poised to drive the expansion of the artificial intelligence (AI) in energy and power market in the foreseeable future. These investments involve allocating resources, typically monetary funds, with the aim of generating returns or profits over time. Within the energy and power sectors, investments have been instrumental in harnessing artificial intelligence (AI) in various capacities to enhance decision-making, optimize operations, improve energy management, and elevate the reliability and quality of services across the industry. For example, in October 2025, the International Energy Agency, a France-based intergovernmental organization, reported that capital investments in the energy sector are projected to reach USD 3.3 trillion in 2025, reflecting a 2% real-term increase compared to 2024. Consequently, the escalating investments in energy sectors are serving as a catalyst for the growth of the artificial intelligence (AI) in energy and power market.

Leading companies operating in the artificial intelligence (AI) in the energy and power markets are at the forefront of developing innovative AI advancements to cater to the evolving energy needs of commercial customers. One such advancement is Gridmatic Retail, an AI-enabled power marketer designed to optimize clean energy procurement and offer predictability and automation to commercial and industrial clients with sophisticated energy requirements. Recently introduced by Gridmatic in January 2023, Gridmatic Retail streamlines renewable energy procurement while providing customers with next-generation retail energy products, including time-matched renewables, 24/7 carbon-free energy, and load variability contracts. By leveraging industry-leading AI capabilities, Gridmatic Retail facilitates the transition to net-zero and promotes a balanced renewable-powered grid by offering advanced, time-matched renewable contracts and tailored products for customers with diverse and complex energy needs.

In January 2024, Electric Power Engineers, LLC, a U.S.-based provider of utility engineering, grid integration, and energy-transition consulting services, acquired ENER-i.AI for an undisclosed sum. This acquisition enables Electric Power Engineers to integrate ENER-i.AI's advanced SaaS energy-intelligence platform into its offerings, enhancing capabilities in grid planning and operations optimization. ENER-i.AI, based in the U.S., provides software-as-a-service solutions for energy intelligence, including the ENER-i Energy Intelligence Platform and ENER-i InSights tools for modern power-grid planning and management.

Major companies operating in the artificial intelligence (AI) in energy and power market are Google LLC, Microsoft Corporation, Mitsubishi Electric Corporation, Bosch.IO, Siemens AG, General Electric Company, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Group, NVIDIA Corporation, Toshiba Corporation, Emerson Electric Co, Rockwell Automation Inc., SAS Institute Inc, DNV GL, Sierra Wireless Inc., C3.AI Inc., Vayyar Imaging Ltd., Uptake Technologies Inc., Verdigris Technologies Inc., Aurora Solar Technologies, SenseHawk

North America was the largest region in the artificial intelligence (AI) in energy and power market in 2025. Europe is expected to be the fastest-growing region in the forecast period. The regions covered in the artificial intelligence (AI) in energy and power market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

Artificial intelligence (AI) in the energy and power market includes revenues earned by entities by providing services such as smart grid management, renewable energy forecasting, grid management and optimization, and energy trading. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included. The artificial intelligence (AI) in the energy and power market consists of sales of smart meters, energy storage systems, building energy management systems, and distribution management systems. 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.

Artificial Intelligence (AI) in Energy And Power Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses artificial intelligence (ai) in energy and power 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 artificial intelligence (ai) in energy and power ? 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 artificial intelligence (ai) in energy and power 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Technology: Machine Learning; Natural Language Processing; Computer Vision
  • 2) By Application: Demand Forecasting; Energy Production And Distribution Optimization; Energy Management; Smart Grids; Smart Meter; Other Applications
  • 3) By End-User: Commercial And Industrial; Residential
  • Subsegments:
  • 1) By Machine Learning: Predictive Maintenance; Demand Forecasting; Energy Management Systems
  • 2) By Natural Language Processing (NLP): Chatbots For Customer Service; Voice Assistants For Energy Management; Document Analysis And Reporting
  • 3) By Computer Vision: Asset Monitoring And Inspection; Safety And Surveillance Systems; Fault Detection In Equipment
  • Companies Mentioned: Google LLC; Microsoft Corporation; Mitsubishi Electric Corporation; Bosch.IO; Siemens AG; General Electric Company; Intel Corporation; International Business Machines Corporation; Cisco Systems Inc.; Schneider Electric SE; Honeywell International Inc.; SAP SE; ABB Group; NVIDIA Corporation; Toshiba Corporation; Emerson Electric Co; Rockwell Automation Inc.; SAS Institute Inc; DNV GL; Sierra Wireless Inc.; C3.ai Inc.; Vayyar Imaging Ltd.; Uptake Technologies Inc.; Verdigris Technologies Inc.; Aurora Solar Technologies; SenseHawk
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; 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: Word, PDF or Interactive Report
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Artificial Intelligence (AI) in Energy And Power Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Artificial Intelligence (AI) in Energy And Power Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Artificial Intelligence (AI) in Energy And Power Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Artificial Intelligence (AI) in Energy And Power Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Sustainability, Climate Tech & Circular Economy
    • 4.1.3 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.4 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 Growing Use Of Ai For Demand Forecasting Optimization
    • 4.2.2 Increasing Adoption Of Ai Enabled Smart Grid Systems
    • 4.2.3 Rising Deployment Of Ai In Renewable Energy Integration
    • 4.2.4 Expansion Of Ai Based Energy Management Solutions
    • 4.2.5 Enhanced Use Of Ai For Power Distribution And Load Balancing

5. Artificial Intelligence (AI) in Energy And Power Market Analysis Of End Use Industries

  • 5.1 Commercial And Industrial
  • 5.2 Residential
  • 5.3 Energy Utilities
  • 5.4 Renewable Energy Operators
  • 5.5 Smart Grid Service Providers

6. Artificial Intelligence (AI) in Energy And Power Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Artificial Intelligence (AI) in Energy And Power Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Artificial Intelligence (AI) in Energy And Power PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Artificial Intelligence (AI) in Energy And Power Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Artificial Intelligence (AI) in Energy And Power Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Artificial Intelligence (AI) in Energy And Power Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Artificial Intelligence (AI) in Energy And Power Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Artificial Intelligence (AI) in Energy And Power Market Segmentation

  • 9.1. Global Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Machine Learning, Natural Language Processing, Computer Vision
  • 9.2. Global Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Demand Forecasting, Energy Production And Distribution Optimization, Energy Management, Smart Grids, Smart Meter, Other Applications
  • 9.3. Global Artificial Intelligence (AI) in Energy And Power Market, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Commercial And Industrial, Residential
  • 9.4. Global Artificial Intelligence (AI) in Energy And Power Market, Sub-Segmentation Of Machine Learning, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Predictive Maintenance, Demand Forecasting, Energy Management Systems
  • 9.5. Global Artificial Intelligence (AI) in Energy And Power Market, Sub-Segmentation Of Natural Language Processing (NLP), By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Chatbots For Customer Service, Voice Assistants For Energy Management, Document Analysis And Reporting
  • 9.6. Global Artificial Intelligence (AI) in Energy And Power Market, Sub-Segmentation Of Computer Vision, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Asset Monitoring And Inspection, Safety And Surveillance Systems, Fault Detection In Equipment

10. Artificial Intelligence (AI) in Energy And Power Market Regional And Country Analysis

  • 10.1. Global Artificial Intelligence (AI) in Energy And Power Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Artificial Intelligence (AI) in Energy And Power Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Artificial Intelligence (AI) in Energy And Power Market

  • 11.1. Asia-Pacific Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Artificial Intelligence (AI) in Energy And Power Market

  • 12.1. China Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Artificial Intelligence (AI) in Energy And Power Market

  • 13.1. India Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Artificial Intelligence (AI) in Energy And Power Market

  • 14.1. Japan Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Artificial Intelligence (AI) in Energy And Power Market

  • 15.1. Australia Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Artificial Intelligence (AI) in Energy And Power Market

  • 16.1. Indonesia Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Artificial Intelligence (AI) in Energy And Power Market

  • 17.1. South Korea Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Artificial Intelligence (AI) in Energy And Power Market

  • 18.1. Taiwan Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. Taiwan Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Artificial Intelligence (AI) in Energy And Power Market

  • 19.1. South East Asia Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Artificial Intelligence (AI) in Energy And Power Market

  • 20.1. Western Europe Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. Western Europe Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Artificial Intelligence (AI) in Energy And Power Market

  • 21.1. UK Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Artificial Intelligence (AI) in Energy And Power Market

  • 22.1. Germany Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Artificial Intelligence (AI) in Energy And Power Market

  • 23.1. France Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Artificial Intelligence (AI) in Energy And Power Market

  • 24.1. Italy Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Artificial Intelligence (AI) in Energy And Power Market

  • 25.1. Spain Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Artificial Intelligence (AI) in Energy And Power Market

  • 26.1. Eastern Europe Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Artificial Intelligence (AI) in Energy And Power Market

  • 27.1. Russia Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Artificial Intelligence (AI) in Energy And Power Market

  • 28.1. North America Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Artificial Intelligence (AI) in Energy And Power Market

  • 29.1. USA Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Artificial Intelligence (AI) in Energy And Power Market

  • 30.1. Canada Artificial Intelligence (AI) in Energy And Power Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. Canada Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Artificial Intelligence (AI) in Energy And Power Market

  • 31.1. South America Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Artificial Intelligence (AI) in Energy And Power Market

  • 32.1. Brazil Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Artificial Intelligence (AI) in Energy And Power Market

  • 33.1. Middle East Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Artificial Intelligence (AI) in Energy And Power Market

  • 34.1. Africa Artificial Intelligence (AI) in Energy And Power Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Africa Artificial Intelligence (AI) in Energy And Power Market, Segmentation By Technology, Segmentation By Application, Segmentation By End-User, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Artificial Intelligence (AI) in Energy And Power Market Regulatory and Investment Landscape

36. Artificial Intelligence (AI) in Energy And Power Market Competitive Landscape And Company Profiles

  • 36.1. Artificial Intelligence (AI) in Energy And Power Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Artificial Intelligence (AI) in Energy And Power Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Artificial Intelligence (AI) in Energy And Power Market Company Profiles
    • 36.3.1. Google LLC Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. Mitsubishi Electric Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Bosch.IO Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Siemens AG Overview, Products and Services, Strategy and Financial Analysis

37. Artificial Intelligence (AI) in Energy And Power Market Other Major And Innovative Companies

  • General Electric Company, Intel Corporation, International Business Machines Corporation, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Group, NVIDIA Corporation, Toshiba Corporation, Emerson Electric Co, Rockwell Automation Inc., SAS Institute Inc, DNV GL, Sierra Wireless Inc.

38. Global Artificial Intelligence (AI) in Energy And Power Market Competitive Benchmarking And Dashboard

39. Key Mergers And Acquisitions In The Artificial Intelligence (AI) in Energy And Power Market

40. Artificial Intelligence (AI) in Energy And Power Market High Potential Countries, Segments and Strategies

  • 40.1 Artificial Intelligence (AI) in Energy And Power Market In 2030 - Countries Offering Most New Opportunities
  • 40.2 Artificial Intelligence (AI) in Energy And Power Market In 2030 - Segments Offering Most New Opportunities
  • 40.3 Artificial Intelligence (AI) in Energy And Power Market In 2030 - Growth Strategies
    • 40.3.1 Market Trend Based Strategies
    • 40.3.2 Competitor Strategies

41. Appendix

  • 41.1. Abbreviations
  • 41.2. Currencies
  • 41.3. Historic And Forecast Inflation Rates
  • 41.4. Research Inquiries
  • 41.5. The Business Research Company
  • 41.6. Copyright And Disclaimer