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市场调查报告书
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1795764

2025年能源领域生成式人工智慧全球市场报告

Generative AI In Energy 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个工作天内

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简介目录

预计未来几年，能源领域的生成式人工智慧市场将呈指数级增长，到2029年将达到28亿美元，复合年增长率为24.0%。预测期内的成长可归因于准确性的提高、对改进配送的需求、对客户参与的日益关注、太阳能和风力发电的普及以及资产管理的不断提升。预测期内的主要趋势包括即时预测、动态适应和优化、增强预测分析、高级资料来源整合、预测性维护和资产管理以及智慧电网管理。

未来五年24.0%的成长率预测比我们先前的预测略有下降，下降了0.2%。这一下降主要源自于美国与其他国家之间关税的影响。全球科技中心对先进GPU和云端基础设施服务的关税不断上涨，可能会削弱生成式人工智慧应用在即时能源预测和预测性维护方面的可扩展性和可负担性。此外，互惠关税以及日益加剧的贸易紧张局势和限制对全球经济和贸易的负面影响可能会产生更广泛的影响。

太阳能发电的兴起预计将推动能源领域生成型人工智慧市场的成长。太阳能发电利用光伏 (PV) 电池板和聚光型太阳光电(CSP) 系统将阳光转化为电能，其发展受到技术成本下降和日益认识到其环境效益（例如与石化燃料相比减少二氧化碳排放）的推动。太阳能发电与发电人工智慧技术的结合，为提高能源系统的效率、可靠性和永续性提供了重要机会，并支持向更清洁、更具韧性的能源未来转型。例如，美国能源资讯署（EIA）在2023年3月预测，太阳能将占美国当年新增发电装置容量的一半以上，而可再生能源在全球发电结构中的占比预计将从2022年的29%上升到2025年的35%。预计全球电力产业的二氧化碳排放将在2022年达到峰值，约13.2吉吨（Gt），然后在2025年保持稳定。在美国，截至2023年1月，公用事业规模的太阳能发电量为73.5吉瓦（GW），约占总发电量的6%，而风电占141.3吉瓦，约占12%。此外，美国开发商计划今年增加7.1吉瓦的风电装置容量和8.6吉瓦的电池储能容量，这将使美国的电池储能容量翻倍。因此，太阳能发电的兴起是推动能源产生人工智慧市场发展的关键因素。

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、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球能源领域的生成人工智慧：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球能源产生人工智慧市场：成长率分析
  • 全球能源产生人工智慧市场表现：规模与成长，2019-2024
  • 全球能源产生人工智慧市场预测：规模与成长，2024-2029 年，2034 年
  • 能源领域的生成式人工智慧：全球潜在市场总量 (TAM)

第六章市场区隔

  • 全球能源领域生成人工智慧市场：依组成部分、实际数据及预测，2019-2024 年、2024-2029 年、2034 年
  • 解决方案
  • 服务
  • 全球能源领域生成式人工智慧市场：应用、表现与预测（2019-2024 年、2024-2029 年及 2034 年）
  • 需求预测
  • 可再生能源产量预测
  • 电网管理和最佳化
  • 能源交易和定价
  • 客户服务
  • 能源储存优化
  • 其他用途
  • 全球能源领域生成式人工智慧市场：按最终用户、实际及预测，2019-2024 年、2024-2029 年、2034 年
  • 能量传输
  • 能源产出
  • 能源发行
  • 公用事业
  • 其他最终用户
  • 全球能源领域生成式人工智慧市场：按解决方案和类型细分：实际和预测，2019-2024 年、2024-2029 年、2034 年
  • 能源需求预测
  • 预测性维护解决方案
  • 人工智慧驱动的能源优化工具
  • 可再生能源管理解决方案
  • 全球能源领域生成人工智慧市场（按服务和类型细分）：实际结果与预测（2019-2024 年、2024-2029 年、2034 年）
  • 咨询服务
  • 实施和整合服务
  • 支援和维护服务
  • 培训服务

第七章 区域和国家分析

  • 全球能源领域生成式人工智慧市场：区域表现与预测（2019-2024 年、2024-2029 年及 2034 年）
  • 全球能源领域生成式人工智慧市场：国家/地区、绩效及预测（2019-2024 年、2024-2029 年及 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

  • 能源领域的生成式人工智慧：竞争格局
  • 能源市场中的生成式人工智慧：公司简介
    • Google LLC 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
    • Enel Green Power SpA Overview, Products and Services, Strategy and Financial Analysis
    • Huawei Technologies Co. Ltd Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Amazon Web Services Inc
  • Siemens AG
  • General Electric Company
  • Intel Corporation
  • International Business Machines Corporation
  • Deloitte Touche Tohmatsu Limited
  • Cisco Systems Inc
  • Schneider Electric SE
  • Honeywell International Inc.
  • Flex Ltd
  • ABB Ltd
  • Duke Energy Corporation
  • Nvidia Corporation
  • Atos SE
  • Zen Robotics Ltd

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：高潜力市场国家、细分市场与策略

  • 2029年能源领域的生成式人工智慧：提供新机会的国家
  • 2029年能源市场中的生成式人工智慧：提供新机会领域
  • 2029年能源市场中的生成式人工智慧：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

简介目录
Product Code: r28154u

Generative AI in energy involves leveraging artificial intelligence techniques, like generative adversarial networks (GANs), to create synthetic data or models simulating energy-related processes. These AI systems aid in optimizing energy production, forecasting demand, enhancing grid stability, and developing efficient energy management strategies, thus advancing sustainability and reliability in the energy sector.

The primary components of generative AI in energy include solutions and services. Generative AI solutions in energy utilize artificial intelligence models to tackle various challenges and optimize operations within the energy sector. These solutions find applications in demand forecasting, renewable energy output prediction, grid management, energy trading, customer offerings, energy storage optimization, and more. End users encompass energy transmission, generation, distribution, utilities, and related 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.

The sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a notable impact on the utilities sector, particularly across power generation, grid modernization, and renewable energy initiatives. Increased duties on imported equipment such as turbines, transformers, solar panels, and battery storage systems are driving up both capital and operational expenses for utility companies, prompting many to delay projects or pass higher costs on to consumers through increased energy rates. The water and waste management sectors are similarly affected, as tariffs inflate the cost of essential machinery, piping, and treatment technologies. Moreover, retaliatory tariffs from key trading partners have disrupted the supply of critical raw materials-such as rare earth elements vital for clean energy technologies-posing further challenges to the shift toward sustainable energy. In response, the sector is increasingly focusing on domestic procurement, digital transformation, and efficiency-enhancing innovations to control rising costs while safeguarding energy reliability and meeting regulatory demands.

The generative AI in energy market research report is one of a series of new reports from The Business Research Company that provides generative AI in energy market statistics, including generative AI in energy industry global market size, regional shares, competitors with a generative AI in energy market share, detailed generative AI in energy market segments, market trends and opportunities, and any further data you may need to thrive in the generative AI in energy industry. This generative AI in energy 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 generative ai in energy market size has grown exponentially in recent years. It will grow from $0.95 billion in 2024 to $1.18 billion in 2025 at a compound annual growth rate (CAGR) of 24.2%. The growth in the historic period can be attributed to the rise of renewable energy sources, demand forecasting, increasing energy storage systems, demand response optimization, and increasing risk management and resilience.

The generative ai in energy market size is expected to see exponential growth in the next few years. It will grow to $2.8 billion in 2029 at a compound annual growth rate (CAGR) of 24.0%. The growth in the forecast period can be attributed to increasing accuracy, demand for improved electricity distribution, increasing focus on customer engagement, increasing adoption of solar and wind energy, and rising asset management. Major trends in the forecast period include real-time forecasting, dynamic adaptation and optimization, enhanced predictive analytics, integration of advanced data sources, predictive maintenance and asset management, and smart grid management.

The forecast of 24.0% growth over the next five years reflects a slight reduction of 0.2% from the previous projectiont. This reduction is primarily due to the impact of tariffs between the US and other countries. Rising tariffs on advanced GPUs and cloud infrastructure services from global tech hubs could undercut the scalability and affordability of generative AI applications in real-time energy forecasting and predictive maintenance. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The increasing generation of solar electricity is expected to drive the growth of the generative AI market in the energy sector. Solar electricity generation involves converting sunlight into power using photovoltaic (PV) panels or concentrated solar power (CSP) systems, and its adoption is being propelled by declining technology costs and growing awareness of its environmental benefits, such as reduced carbon emissions compared to fossil fuels. The integration of solar electricity with generative AI technologies presents significant opportunities to enhance the efficiency, reliability, and sustainability of energy systems, thereby supporting the transition to a cleaner and more resilient energy future. For instance, in March 2023, the U.S. Energy Information Administration (EIA) projected that solar energy would account for over half of new power capacity additions in the U.S. for the year, while renewables are expected to increase their share of the global power generation mix from 29% in 2022 to 35% by 2025. Although CO2 emissions from the global power sector peaked at around 13.2 gigatons (Gt) in 2022, they are anticipated to stabilize through 2025. In the U.S., utility-scale solar power accounted for 73.5 gigawatts (GW) as of January 2023, representing about 6% of the total power capacity, while wind power stood at 141.3 GW, or approximately 12%. Additionally, U.S. developers plan to expand wind capacity by 7.1 GW and add 8.6 GW of battery storage this year, effectively doubling the nation's battery storage capacity. Therefore, the increasing generation of solar electricity is a key factor driving the generative AI market in the energy sector.

Key players in generative AI in the energy market are focusing on developing innovative products, such as real-time asset performance management solutions, to optimize energy production, distribution, and consumption processes. Real-time asset performance management involves monitoring, analyzing, and optimizing the performance of assets like machinery, equipment, or infrastructure in real-time or near real-time. For instance, in April 2024, Databricks Inc., a leading US-based global data, analytics, and artificial intelligence company, introduced the data intelligence platform for the energy sector. This unified platform harnesses the power of AI to empower data-driven decision-making in the energy industry. It addresses critical industry challenges through features like real-time asset performance management, renewable energy forecasting, and grid optimization, enabling organizations to enhance energy infrastructure and manage market volatility effectively. The Databricks data intelligence platform operates on a lakehouse architecture, providing an open, unified foundation for data and governance, and is driven by a data intelligence engine designed to understand data uniqueness.

In January 2023, Snowflake Inc., a prominent US-based cloud computing-based data cloud company, acquired Myst AI Inc. in an undisclosed transaction. This acquisition is part of Snowflake's strategy to integrate machine learning capabilities into its data cloud and strengthen its time series forecasting capabilities. Myst AI Inc. specializes in generative AI solutions tailored for the energy sector, contributing to Snowflake's efforts to enhance its offerings in the energy analytics domain.

Major companies operating in the generative AI in energy market report are Google LLC; Microsoft Corporation; Engie SA; Enel Green Power S.p.A.; Huawei Technologies Co. Ltd; Amazon Web Services Inc; Siemens AG; General Electric Company; Intel Corporation; International Business Machines Corporation; Deloitte Touche Tohmatsu Limited; Cisco Systems Inc; Schneider Electric SE; Honeywell International Inc.; Flex Ltd; ABB Ltd; Duke Energy Corporation; Nvidia Corporation; Atos SE; Zen Robotics Ltd; Freshworks Inc.; C3 AI Inc; Databricks Inc; AppOrchid Inc; Verdigris Technologies; Ecube Labs Co. Ltd; Bidgely Inc

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

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

The generative AI in energy market consists of revenues earned by entities by providing services such as optimizing energy and utility grid management and performance, production capacity, demand patterns, streamlining operations and maintenance, predictive maintenance, energy trading and market analysis, and carbon emissions reduction. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in energy market also includes sales of Internet of Things (IoT) devices, sensors, smart meters, weather stations, voltage sensors, data acquisition systems, energy management systems, edge computing devices, and energy storage 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.

Generative 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 generative 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 generative 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, including technological disruption, regulatory shifts, and changing consumer preferences? The generative 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 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 Component: Solutions; Services
  • 2) By Application: Demand Forecasting; Renewable Energy Output Forecasting; Grid Management And Optimization; Energy Trading And Pricing; Customer Offerings; Energy Storage Optimization; Other Applications
  • 3) By End User: Energy Transmission; Energy Generation; Energy Distribution; Utilities; Other End Users
  • Subsegments:
  • 1) By Solutions: Energy Demand Forecasting; Predictive Maintenance Solutions; AI-Driven Energy Optimization Tools; Renewable Energy Management Solutions
  • 2) By Services: Consulting Services; Implementation And Integration Services; Support And Maintenance Services; Training Services
  • Companies Mentioned: Google LLC; Microsoft Corporation; Engie SA; Enel Green Power S.p.A.; Huawei Technologies Co. Ltd; Amazon Web Services Inc; Siemens AG; General Electric Company; Intel Corporation; International Business Machines Corporation; Deloitte Touche Tohmatsu Limited; Cisco Systems Inc; Schneider Electric SE; Honeywell International Inc.; Flex Ltd; ABB Ltd; Duke Energy Corporation; Nvidia Corporation; Atos SE; Zen Robotics Ltd; Freshworks Inc.; C3 AI Inc; Databricks Inc; AppOrchid Inc; Verdigris Technologies; Ecube Labs Co. Ltd; Bidgely 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. Generative AI In Energy Market Characteristics

3. Generative AI In Energy Market Trends And Strategies

4. Generative AI In Energy 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 Generative AI In Energy Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Generative 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 Generative AI In Energy Market Growth Rate Analysis
  • 5.4. Global Generative AI In Energy Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Generative AI In Energy Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Generative AI In Energy Total Addressable Market (TAM)

6. Generative AI In Energy Market Segmentation

  • 6.1. Global Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Solutions
  • Services
  • 6.2. Global Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Demand Forecasting
  • Renewable Energy Output Forecasting
  • Grid Management And Optimization
  • Energy Trading And Pricing
  • Customer Offerings
  • Energy Storage Optimization
  • Other Applications
  • 6.3. Global Generative 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
  • 6.4. Global Generative AI In Energy Market, Sub-Segmentation Of Solutions, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Energy Demand Forecasting
  • Predictive Maintenance Solutions
  • AI-Driven Energy Optimization Tools
  • Renewable Energy Management Solutions
  • 6.5. Global Generative AI In Energy Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Implementation And Integration Services
  • Support And Maintenance Services
  • Training Services

7. Generative AI In Energy Market Regional And Country Analysis

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

8. Asia-Pacific Generative AI In Energy Market

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

9. China Generative AI In Energy Market

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

10. India Generative AI In Energy Market

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

11. Japan Generative AI In Energy Market

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

12. Australia Generative AI In Energy Market

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

13. Indonesia Generative AI In Energy Market

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

14. South Korea Generative AI In Energy Market

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

15. Western Europe Generative AI In Energy Market

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

16. UK Generative AI In Energy Market

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

17. Germany Generative AI In Energy Market

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

18. France Generative AI In Energy Market

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

19. Italy Generative AI In Energy Market

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

20. Spain Generative AI In Energy Market

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

21. Eastern Europe Generative AI In Energy Market

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

22. Russia Generative AI In Energy Market

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

23. North America Generative AI In Energy Market

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

24. USA Generative AI In Energy Market

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

25. Canada Generative AI In Energy Market

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

26. South America Generative AI In Energy Market

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

27. Brazil Generative AI In Energy Market

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

28. Middle East Generative AI In Energy Market

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

29. Africa Generative AI In Energy Market

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

30. Generative AI In Energy Market Competitive Landscape And Company Profiles

  • 30.1. Generative AI In Energy Market Competitive Landscape
  • 30.2. Generative AI In Energy Market Company Profiles
    • 30.2.1. Google LLC 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. Enel Green Power S.p.A. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Huawei Technologies Co. Ltd Overview, Products and Services, Strategy and Financial Analysis

31. Generative AI In Energy Market Other Major And Innovative Companies

  • 31.1. Amazon Web Services Inc
  • 31.2. Siemens AG
  • 31.3. General Electric Company
  • 31.4. Intel Corporation
  • 31.5. International Business Machines Corporation
  • 31.6. Deloitte Touche Tohmatsu Limited
  • 31.7. Cisco Systems Inc
  • 31.8. Schneider Electric SE
  • 31.9. Honeywell International Inc.
  • 31.10. Flex Ltd
  • 31.11. ABB Ltd
  • 31.12. Duke Energy Corporation
  • 31.13. Nvidia Corporation
  • 31.14. Atos SE
  • 31.15. Zen Robotics Ltd

32. Global Generative AI In Energy Market Competitive Benchmarking And Dashboard

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

34. Recent Developments In The Generative AI In Energy Market

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

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