2025年能源人工智慧全球市场报告

预计未来几年能源人工智慧市场规模将呈指数级增长。到 2029 年，这一数字将成长至 509.1 亿美元，复合年增长率为 22.0%。预测期内的成长可归因于分散式能源系统、能源储存管理、智慧城市和基础设施、交通电气化和边缘运算的整合。预测期内的关键趋势包括能源效率分析、自主能源基础设施、网路安全解决方案、虚拟发电厂和能源管理边缘人工智慧。

微电网的日益普及预计将在未来几年推动人工智慧在能源市场的扩张。微电网是可以独立运作或与主电网协同运作的局部能源系统。这些微电网对于能源领域人工智慧技术的整合和优化至关重要，有助于实现智慧能源管理、电网优化和再生能源来源的采用。微电网支援能源领域的各种人工智慧应用，包括需量反应、负载平衡和可再生能源整合。随着微电网的使用增加，能源人工智慧市场正在经历显着成长。例如，根据英国能源安全与净零部2024年9月发布的能源趋势报告，预计2024年第二季装置容量将比2023年同期成长3.9%（210万千瓦），达到总合57.5万千瓦。预计将增加微电网的使用，推动未来能源市场人工智慧的成长。

能源资产管理需求的激增预计将推动人工智慧在能源领域的市场整合不断增长。能源资产管理包含一种全面的策略方法，旨在监督、优化和最大化组织内或跨各个设施的能源相关资产的性能和效率。利用人工智慧 (AI)，能源资产管理深入分析来自能源资产的大量资料集，预测需求模式，优化能源生产和消费，检测异常并进行即时调整。例如，国际能源总署（IEA）于2023年7月发布的统计数据显示，2022年全球整体发电量将成长2.4%，总合达到约700兆瓦时（TWh），凸显了对能源资产管理的需求日益增长。因此，对能源资产管理日益增长的需求预计将推动人工智慧在能源市场的应用。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通膨、地缘政治、新冠疫情、经济復苏对市场的影响

第五章 全球成长分析与策略分析框架

• 全球能源人工智慧PESTEL分析（政治、社会、科技、环境、法律因素、驱动因素、限制因素）
• 最终用途产业分析
• 全球能源市场人工智慧：增长率分析
• 全球能源人工智慧市场表现：规模与成长，2019-2024
• 全球能源人工智慧市场预测：规模与成长，2024-2029 年，2034 年
• 全球能源领域人工智慧总可寻址市场 (TAM)

第六章市场区隔

• 全球能源市场人工智慧：按类型、表现和预测，2019-2024 年、2024-2029 年、2034 年
• 支援服务
• 硬体
• AI-As-A-Service
• 软体
• 全球能源市场人工智慧：按部署、表现和预测，2019-2024 年、2024-2029 年、2034 年
• 本地
• 云
• 全球能源市场人工智慧：应用、表现与预测（2019-2024 年、2024-2029 年及 2034 年）
• 需量反应管理
• 车队和资产管理
• 可再生能源管理
• 精密钻孔
• 需求预测
• 基础设施管理
• 其他用途
• 全球能源市场人工智慧：按最终用户、绩效及预测，2019-2024 年、2024-2029 年、2034 年
• 能量传输
• 能源产出
• 能源分配
• 实用工具
• 其他最终用户
• 全球能源市场人工智慧，按类型细分：支援服务、绩效及预测，2019-2024 年、2024-2029 年、2034 年
• 咨询服务
• 实施服务
• 维护和支援服务
• 全球能源人工智慧市场，按类型细分：硬体、实际及预测，2019-2024 年、2024-2029 年、2034 年
• 人工智慧感测器
• 智慧电錶
• 边缘运算设备
• 全球能源市场人工智慧，按类型细分：人工智慧即服务，实际及预测，2019-2024 年，2024-2029 年，2034 年
• 机器学习平台
• 资料分析服务
• 模型训练与开发服务
• 全球能源市场人工智慧，按类型细分：软体、实际及预测，2019-2024 年、2024-2029 年、2034 年
• 能源管理软体
• 预测性维护软体
• 需量反应软体
• 电网管理软体

第七章 区域和国家分析

• 全球能源市场人工智慧：按地区、表现和预测，2019-2024 年、2024-2029 年、2034 年
• 全球能源市场人工智慧：按国家、表现和预测，2019-2024 年、2024-2029 年、2034 年

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章：义大利市场

第20章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第30章竞争格局与公司概况

• 能源领域的人工智慧：竞争格局
• 能源市场中的人工智慧：公司简介
  • Google Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Engie SA Overview, Products and Services, Strategy and Financial Analysis
  • Huawei Technologies Co Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • Siemens AG Overview, Products and Services, Strategy and Financial Analysis

第31章 其他大型创新企业

• General Electric Company
• Intel Corporation
• International Business Machines Corporation
• Iberdrola
• Cisco Systems Inc.
• Schneider Electric SE
• Honeywell International Inc.
• Flex Ltd.
• ABB Ltd
• Duke Energy Corporation
• Nvidia Corporation
• Alpiq Holding AG
• ATOS SE
• Enel Green Power SpA
• Databricks Inc.

第 32 章全球市场竞争基准化分析与仪表板

第33章 重大併购

第34章近期市场趋势

第 35 章 高市场潜力国家、细分市场与策略

• 2029年能源领域的人工智慧：提供新机会的国家
• 2029年能源领域的人工智慧：提供新机会的细分领域
• 2029年能源市场中的人工智慧：成长策略
  • 基于市场趋势的策略
  • 竞争对手的策略

第36章 附录

AI in energy refers to the application of artificial intelligence (AI) technologies and techniques within the energy sector to enhance efficiency, optimize operations, and improve decision-making processes. This includes various aspects such as data analysis, grid management and security, and demand response. AI is utilized in the energy sector to maximize the recycling of materials used in renewable energy systems, including solar panels, wind turbines, and hydroelectric dams.

The primary offerings in the field of AI in energy include support services, hardware, AI-as-a-service, and software. Support services encompass a range of activities and resources provided to individuals, organizations, or customers to assist them with their needs, address issues, and ensure satisfaction. The technology can be deployed through on-premises and cloud deployment modes. AI in energy finds applications in diverse areas, including demand response management, fleet and asset management, renewable energy management, precision drilling, demand forecasting, infrastructure management, and more. End-users of AI in energy include entities involved in energy transmission, energy generation, energy distribution, utilities, and other related sectors.

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

The AI in energy market size has grown exponentially in recent years. It will grow from $19.03 billion in 2024 to $22.94 billion in 2025 at a compound annual growth rate (CAGR) of 20.6%. The growth in the historic period can be attributed to data analytics for efficiency, demand response management, predictive maintenance, grid optimization, renewable energy integration

The AI in energy market size is expected to see exponential growth in the next few years. It will grow to $50.91 billion in 2029 at a compound annual growth rate (CAGR) of 22.0%. The growth in the forecast period can be attributed to decentralized energy systems, energy storage management, smart cities and infrastructure, electrification of transportation, integration of edge computing. Major trends in the forecast period include energy efficiency analytics, autonomous energy infrastructure, cybersecurity solutions, virtual power plants, edge ai for energy management.

The growing adoption of microgrids is anticipated to drive the expansion of AI in the energy market in the coming years. A microgrid is a localized energy system that can operate independently or in conjunction with the main power grid. These microgrids are crucial for integrating and optimizing AI technology within the energy sector, facilitating intelligent energy management, grid optimization, and the incorporation of renewable energy sources. They support various AI applications in energy, such as demand response, load balancing, and renewable energy integration. As the utilization of microgrids increases, AI in the energy market is experiencing substantial growth. For instance, in September 2024, the Energy Trends report published by the Department for Energy Security and Net Zero, a UK-based ministerial department, revealed that installed capacity grew by 3.9 percent (2.1 GW) in the second quarter of 2024 compared to the same quarter in 2023, reaching a total of 57.5 GW. Therefore, the rising use of microgrids is expected to propel the growth of AI in the energy market moving forward.

The burgeoning demand for energy asset management is projected to steer the expansion of AI integration in the energy market. Energy asset management encapsulates a comprehensive and strategic approach aimed at overseeing, optimizing, and maximizing the performance and efficiency of energy-related assets within an organization or across various facilities. Leveraging artificial intelligence (AI), energy asset management delves into analyzing extensive datasets from energy assets, forecasting demand patterns, optimizing energy production and consumption, detecting anomalies, and implementing real-time adjustments. For instance, statistics from the International Energy Agency (IEA) in July 2023 unveiled a global increase of 2.4% in electricity generation in 2022, totaling around 700 terawatt-hours (TWh), underscoring the growing necessity for energy asset management. Consequently, the escalating demand for energy asset management is anticipated to drive the proliferation of AI within the energy market.

Advancements in technology stand out as a prominent and burgeoning trend in the AI-driven energy market. Leading entities within this sphere are actively embracing novel technologies to fortify their market standing. An illustration of this is Telefonaktiebolaget LM Ericsson, a Sweden-based IT services and consulting company, which, in February 2022, unveiled an AI-powered Energy Infrastructure Operations system. This innovative energy management system aids communications service providers in curtailing energy consumption across their network infrastructure through the utilization of artificial intelligence and sophisticated data analytics. Harnessing AI capabilities, this system targets a reduction of energy-related operational expenses (OPEX) by 15%, a corresponding decrease in passive infrastructure-related site visits by 15%, and a 30% mitigation of outages attributed to energy issues. This strategic approach not only trims OPEX and carbon emissions for communications service providers but also maximizes energy efficiency and site availability by leveraging AI and data analytics.

Significant players within the AI-powered energy market are spearheading innovation through the introduction of groundbreaking technologies, such as the Pangu Mine Model, marking the world's initial large-scale AI model commercially accessible within the energy sector. Tailored to tackle challenges prevalent in both the mining and broader energy domains, the Pangu Mine Model deploys expansive AI models in industrial production. For instance, in July 2023, Shandong Energy Group Co. Ltd., a China-based coal mining company, YunDing Tech Co. Ltd., a China-based network technology firm, and Huawei Technologies Co. Ltd., a China-based manufacturing entity, collaborated on the launch of the Pangu Mine Model. This model encompasses features such as decoupled operation management, intelligent production capabilities, on-site data processing, extensive scalability, and the ability to learn and analyze from limited data samples. The model's core objective is to elevate the intelligence quotient within energy applications within the mining industry by broadening the spectrum of AI applications in various scenarios. The continuous utilization of AI aims to foster automation, enhance efficiency, decrease labor intensity, and elevate safety in energy utilization specifically for mining purposes.

In June 2022, Schneider Electric SE, a French electrical and electronics manufacturing company, successfully acquired AutoGrid Systems Inc. for an undisclosed amount. This strategic acquisition positions Schneider Electric to broaden its reach into new regions and offer energy companies across the globe the necessary tools to integrate over 1,000 GW of distributed and renewable energy resources into the grid. AutoGrid Systems Inc., based in the United States, is a software company specializing in AI-driven software designed to enhance the intelligence of distributed energy resources. The software facilitates prediction, optimization, and real-time control of energy resources.

Major companies operating in the AI in energy market include Google, Microsoft Corporation, Engie SA, Huawei Technologies Co Ltd., Siemens AG, General Electric Company, Intel Corporation, International Business Machines Corporation, Iberdrola, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., Flex Ltd., ABB Ltd, Duke Energy Corporation, Nvidia Corporation, Alpiq Holding AG, ATOS SE, Enel Green Power S.p.A., Databricks Inc., C3 AI, Uptake Technologies, Sentient Energy Inc., AutoGrid Systems Inc., Arundo Analytics Inc., Bidgely Inc., Verdigris Technologies, Greenbird Integration Technology AS, AppOrchid Inc., Ecube Labs Co. Ltd

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

The countries covered in the ai in energy market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The AI in the energy market consists of revenues earned by entities by providing services such as smart grid operations and robotics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the energy market also includes sales of PyTorch integration and analog device simulators. 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.

AI In Energy 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 ai in energy 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 ai in energy ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in energy 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 Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• 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. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• 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 Offering: Support Services; Hardware; AI-As-A-Service; Software
• 2) By Deployment: On-Premise; Cloud
• 3) By Application: Demand Response Management; Fleet And Asset Management; Renewable Energy Management; Precision Drilling; Demand Forecasting; Infrastructure Management; Other Applications
• 4) By End User: Energy Transmission; Energy Generation; Energy Distribution; Utilities; Other End Users
• Subsegments:
• 1) By Support Services: Consulting Services; Implementation Services; Maintenance And Support Services
• 2) By Hardware: AI-Powered Sensors; Smart Meters; Edge Computing Devices
• 3) By AI-As-A-Service: Machine Learning Platforms; Data Analytics Services; Model Training And Development Services
• 4) By Software: Energy Management Software; Predictive Maintenance Software; Demand Response Software; Grid Management Software
• Companies Mentioned: Google; Microsoft Corporation; Engie SA; Huawei Technologies Co Ltd.; Siemens AG
• 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. AI In Energy Market Characteristics

3. AI In Energy Market Trends And Strategies

4. AI In Energy Market - Macro Economic Scenario including the impact of Interest Rates, Inflation, Geopolitics and Covid And Recovery on the Market

5. Global AI In Energy Growth Analysis And Strategic Analysis Framework

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

6. AI In Energy Market Segmentation

• 6.1. Global AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Support Services
• Hardware
• AI-As-A-Service
• Software
• 6.2. Global AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• On-Premise
• Cloud
• 6.3. Global AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Demand Response Management
• Fleet And Asset Management
• Renewable Energy Management
• Precision Drilling
• Demand Forecasting
• Infrastructure Management
• Other Applications
• 6.4. Global AI In Energy Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Energy Transmission
• Energy Generation
• Energy Distribution
• Utilities
• Other End Users
• 6.5. Global AI In Energy Market, Sub-Segmentation Of Support Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Consulting Services
• Implementation Services
• Maintenance And Support Services
• 6.6. Global AI In Energy Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• AI-Powered Sensors
• Smart Meters
• Edge Computing Devices
• 6.7. Global AI In Energy Market, Sub-Segmentation Of AI-As-A-Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Machine Learning Platforms
• Data Analytics Services
• Model Training And Development Services
• 6.8. Global AI In Energy Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• Energy Management Software
• Predictive Maintenance Software
• Demand Response Software
• Grid Management Software

7. AI In Energy Market Regional And Country Analysis

• 7.1. Global AI In Energy Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 7.2. Global AI In Energy Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Energy Market

• 8.1. Asia-Pacific AI In Energy 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 AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Energy Market

• 9.1. China AI In Energy Market Overview
• 9.2. China AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.3. China AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
• 9.4. China AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Energy Market

• 10.1. India AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.2. India AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 10.3. India AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Energy Market

• 11.1. Japan AI In Energy Market Overview
• 11.2. Japan AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.3. Japan AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 11.4. Japan AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Energy Market

• 12.1. Australia AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.2. Australia AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 12.3. Australia AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Energy Market

• 13.1. Indonesia AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.2. Indonesia AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 13.3. Indonesia AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Energy Market

• 14.1. South Korea AI In Energy Market Overview
• 14.2. South Korea AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.3. South Korea AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 14.4. South Korea AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Energy Market

• 15.1. Western Europe AI In Energy Market Overview
• 15.2. Western Europe AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.3. Western Europe AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 15.4. Western Europe AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Energy Market

• 16.1. UK AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.2. UK AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 16.3. UK AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Energy Market

• 17.1. Germany AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.2. Germany AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 17.3. Germany AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Energy Market

• 18.1. France AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.2. France AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 18.3. France AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Energy Market

• 19.1. Italy AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.2. Italy AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 19.3. Italy AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Energy Market

• 20.1. Spain AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.2. Spain AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 20.3. Spain AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Energy Market

• 21.1. Eastern Europe AI In Energy Market Overview
• 21.2. Eastern Europe AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.3. Eastern Europe AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 21.4. Eastern Europe AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Energy Market

• 22.1. Russia AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.2. Russia AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 22.3. Russia AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Energy Market

• 23.1. North America AI In Energy Market Overview
• 23.2. North America AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.3. North America AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 23.4. North America AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Energy Market

• 24.1. USA AI In Energy Market Overview
• 24.2. USA AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.3. USA AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 24.4. USA AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Energy Market

• 25.1. Canada AI In Energy Market Overview
• 25.2. Canada AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.3. Canada AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 25.4. Canada AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Energy Market

• 26.1. South America AI In Energy Market Overview
• 26.2. South America AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.3. South America AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 26.4. South America AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Energy Market

• 27.1. Brazil AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.2. Brazil AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 27.3. Brazil AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Energy Market

• 28.1. Middle East AI In Energy Market Overview
• 28.2. Middle East AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.3. Middle East AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 28.4. Middle East AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Energy Market

• 29.1. Africa AI In Energy Market Overview
• 29.2. Africa AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.3. Africa AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 29.4. Africa AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Energy Market Competitive Landscape And Company Profiles

• 30.1. AI In Energy Market Competitive Landscape
• 30.2. AI In Energy Market Company Profiles
  • 30.2.1. Google Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.3. Engie SA Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.4. Huawei Technologies Co Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • 30.2.5. Siemens AG Overview, Products and Services, Strategy and Financial Analysis

31. AI In Energy Market Other Major And Innovative Companies

• 31.1. General Electric Company
• 31.2. Intel Corporation
• 31.3. International Business Machines Corporation
• 31.4. Iberdrola
• 31.5. Cisco Systems Inc.
• 31.6. Schneider Electric SE
• 31.7. Honeywell International Inc.
• 31.8. Flex Ltd.
• 31.9. ABB Ltd
• 31.10. Duke Energy Corporation
• 31.11. Nvidia Corporation
• 31.12. Alpiq Holding AG
• 31.13. ATOS SE
• 31.14. Enel Green Power S.p.A.
• 31.15. Databricks Inc.

32. Global AI In Energy Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Energy Market

34. Recent Developments In The AI In Energy Market

35. AI In Energy Market High Potential Countries, Segments and Strategies

• 35.1 AI In Energy Market In 2029 - Countries Offering Most New Opportunities
• 35.2 AI In Energy Market In 2029 - Segments Offering Most New Opportunities
• 35.3 AI In Energy 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