查看购物车
  • Traditional Chinese
  • English
  • Japanese
  • Korean
封面
市场调查报告书
商品编码
1499848

2024 年能源产生人工智慧全球市场报告

Generative AI In Energy Global Market Report 2024
出版日期: | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10个工作天内

价格
简介目录

能源领域的生成式人工智慧市场规模预计在未来几年将呈指数级增长。 2028年，将以26.5%的复合年增长率成长至24.3亿美元。预测期内的成长是由于追求更高精度的能源管理、增强配电系统的需求、强调客户参与能源消耗、更多地采用太阳能和风力发电解决方案以及更加重视有效的资产管理技术。种因素造成的，包括：在此期间预计的主要趋势包括即时预测、动态适应和优化技术的进步、增强的预测分析能力、整合先进资料来源以获得更好的洞察力、预测性维护和资产管理策略以及实施更智慧的电网管理解决方案。

太阳能发电的成长趋势预计将在短期内推动能源发电人工智慧市场的成长。太阳能利用光伏 (PV) 面板或聚光型太阳光电(CSP) 系统将阳光转换为电能。太阳能技术成本的下降以及人们对其环境效益的认识不断提高，例如与石化燃料相比，碳排放降低，推动了太阳能发电的日益普及。太阳能与人工智慧技术的结合将提高能源系统的效率、可靠性和永续性，促进向更清洁、更有弹性的能源环境过渡。例如，根据美国政府机构能源资讯署 2023 年 8 月的资料，美国在 2022 年新增太阳能发电容量 10.9 吉瓦 (GW)。此外，2022年新增小型太阳能产能创纪录的6.4GW，较2021年的5.5GW成长17%。因此，太阳能的成长正在推动能源领域人工智慧市场的采用。

能源人工智慧时代的主要参与者专注于开发创新产品，例如即时资产绩效管理解决方案，以优化能源生产、分配和消费流程。即时资产绩效管理涉及即时或近距离即时监控、分析和优化机器、设备和基础设施等资产的绩效。例如，2024 年 4 月，总部位于美国的全球领先资料、分析和人工智慧公司 Databricks Inc. 宣布推出针对能源领域的资料智慧平台。此整合平台利用人工智慧的力量来增强能源产业的资料主导决策。透过即时资产绩效管理、可再生能源预测和电网优化等功能解决关键产业挑战，使企业能够加强其能源基础设施并有效管理市场波动。 Databricks 的资料智慧平台运行在 Lakehouse架构架构为资料和管治提供开放、统一的基础，并由旨在了解资料独特性的资料智慧引擎提供支援。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

  • 高通膨对市场的影响
  • 乌克兰与俄罗斯战争对市场的影响
  • COVID-19 对市场的影响

第五章世界市场规模与成长

  • 全球能源产生人工智慧市场：驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 全球能源产生人工智慧市场表现：规模与成长，2018-2023
  • 全球生成人工智慧能源市场预测：规模与成长，2023-2028，2033F

第六章 市场细分

  • 全球能源产生人工智慧市场：按组成部分分類的绩效和预测，2018-2023、2023-2028F、2033F
  • 解决方案
  • 服务
  • 全球能源发电人工智慧市场：按应用分類的表现与预测，2018-2023、2023-2028F、2033F
  • 需求预测
  • 可再生能源产量预测
  • 网格管理与最佳化
  • 能源交易和定价
  • 客户服务
  • 能源储存优化
  • 其他用途
  • 全球能源产生人工智慧市场：最终用户的实际状况与预测，2018-2023、2023-2028F、2033F
  • 能量传输
  • 能源产出
  • 能量分布
  • 公共事业
  • 其他最终用户

第 7 章 区域/国家分析

  • 全球能源生成人工智慧市场：按地区分類的表现与预测，2018-2023、2023-2028F、2033F
  • 全球能源生成人工智慧市场：按国家分類的绩效和预测，2018-2023、2023-2028F、2033F

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14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

第三十章 竞争格局及公司概况

  • 能源领域的生成式人工智慧市场：竞争格局
  • 能源领域的生成人工智慧市场：公司简介
    • Google LLC
    • Microsoft Corporation
    • Engie SA
    • Enel Green Power SpA
    • Huawei Technologies Co. Ltd

第三十一章 其他重大及创新企业

  • 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章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章前瞻性与潜力分析

第36章附录

简介目录
Product Code: r17752

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.

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 $0.75 billion in 2023 to $0.95 billion in 2024 at a compound annual growth rate (CAGR) of 26.3%. The growth in the historic period can be attributed to several factors, including the increasing adoption of renewable energy sources, the need for accurate demand forecasting, the rise of energy storage systems, optimization of demand response strategies, and heightened focus on risk management and resilience within the energy sector.

The generative AI in energy market size is expected to see exponential growth in the next few years. It will grow to $2.43 billion in 2028 at a compound annual growth rate (CAGR) of 26.5%. Forecast period growth can be attributed to several factors, including the pursuit of greater accuracy in energy management, the demand for enhanced electricity distribution systems, a heightened focus on engaging customers in energy consumption, the increasing adoption of solar and wind energy solutions, and a growing emphasis on effective asset management practices. Major trends expected during this period include advancements in real-time forecasting, dynamic adaptation and optimization techniques, improved predictive analytics capabilities, integration of advanced data sources for better insights, emphasis on predictive maintenance and asset management strategies, and the implementation of smarter grid management solutions.

The upward trend in solar electricity generation is expected to drive the growth of generative AI in the energy market in the foreseeable future. Solar electricity generation involves converting sunlight into electricity using photovoltaic (PV) panels or concentrated solar power (CSP) systems. The increasing adoption of solar electricity is fueled by decreasing costs of solar technology and heightened awareness of its environmental advantages, notably reduced carbon emissions compared to fossil fuels. Integrating solar electricity generation with generative AI technologies presents significant opportunities to improve the efficiency, reliability, and sustainability of energy systems, facilitating the transition to a cleaner and more resilient energy landscape. For example, data from August 2023, sourced from the Energy Information Administration, a US-based government agency, revealed that in 2022, the United States witnessed the addition of 10.9 gigawatts (GW) of new utility-scale solar capacity, marking the second-largest increase in a single year, following only the record-setting 13.5 GW added in 2021. Additionally, the country added a record-breaking 6.4 GW of new small-scale solar capacity in 2022, representing a 17% increase compared to the 5.5 GW added in 2021. Thus, the growth in solar electricity generation is propelling the adoption of generative AI in the energy market.

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 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 2023. 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 2024 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.

Reasons to Purchase

  • Gain a truly global perspective with the most comprehensive report available on this market covering 50+ geographies.
  • Understand how the market has been affected by the COVID-19 and how it is responding as the impact of the virus abates.
  • Assess the Russia - Ukraine war's impact on agriculture, energy and mineral commodity supply and its direct and indirect impact on the market.
  • Measure the impact of high global inflation on market growth.
  • Create regional and country strategies on the basis of local data and analysis.
  • Identify growth segments for investment.
  • Outperform competitors using forecast data and the drivers and trends shaping the market.
  • Understand customers based on the latest market shares.
  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
  • Report will be updated with the latest data and delivered to you within 3-5 working days of order along with an Excel data sheet for easy data extraction and analysis.
  • All data from the report will also be delivered in an excel dashboard format.

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? 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 impact of sanctions, supply chain disruptions, and altered demand for goods and services due to the Russian Ukraine war, impacting various macro-economic factors and parameters in the Eastern European region and its subsequent effect on global markets.

The impact of higher inflation in many countries and the resulting spike in interest rates.

The continued but declining impact of COVID-19 on supply chains and consumption patterns.

  • 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 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
  • Companies Mentioned: Google LLC; Microsoft Corporation; Engie SA; Enel Green Power S.p.A.; Huawei Technologies Co. Ltd
  • 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

  • 4.1. Impact Of High Inflation On The Market
  • 4.2. Ukraine-Russia War Impact On The Market
  • 4.3. COVID-19 Impact On The Market

5. Global Generative AI In Energy Market Size and Growth

  • 5.1. Global Generative AI In Energy Market Drivers and Restraints
    • 5.1.1. Drivers Of The Market
    • 5.1.2. Restraints Of The Market
  • 5.2. Global Generative AI In Energy Historic Market Size and Growth, 2018 - 2023, Value ($ Billion)
  • 5.3. Global Generative AI In Energy Forecast Market Size and Growth, 2023 - 2028, 2033F, Value ($ Billion)

6. Generative AI In Energy Market Segmentation

  • 6.1. Global Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Solutions
  • Services
  • 6.2. Global Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Energy Transmission
  • Energy Generation
  • Energy Distribution
  • Utilities
  • Other End Users

7. Generative AI In Energy Market Regional And Country Analysis

  • 7.1. Global Generative AI In Energy Market, Split By Region, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 7.2. Global Generative AI In Energy Market, Split By Country, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

8. Asia-Pacific Generative AI In Energy Market

  • 8.1. Asia-Pacific Generative AI In Energy Market Overview
  • Region Information, Impact Of COVID-19, 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Generative AI In Energy Market

  • 10.1. India Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.2. India Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 10.3. India Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Generative AI In Energy Market

  • 12.1. Australia Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.2. Australia Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 12.3. Australia Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

13. Indonesia Generative AI In Energy Market

  • 13.1. Indonesia Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Generative AI In Energy Market

  • 16.1. UK Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.2. UK Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 16.3. UK Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

17. Germany Generative AI In Energy Market

  • 17.1. Germany Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.2. Germany Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 17.3. Germany Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

18. France Generative AI In Energy Market

  • 18.1. France Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.2. France Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 18.3. France Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

19. Italy Generative AI In Energy Market

  • 19.1. Italy Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.2. Italy Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 19.3. Italy Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

20. Spain Generative AI In Energy Market

  • 20.1. Spain Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Generative AI In Energy Market

  • 22.1. Russia Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Generative AI In Energy Market

  • 27.1. Brazil Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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
      • 30.2.1.1. Overview
      • 30.2.1.2. Products and Services
      • 30.2.1.3. Strategy
      • 30.2.1.4. Financial Performance
    • 30.2.2. Microsoft Corporation
      • 30.2.2.1. Overview
      • 30.2.2.2. Products and Services
      • 30.2.2.3. Strategy
      • 30.2.2.4. Financial Performance
    • 30.2.3. Engie SA
      • 30.2.3.1. Overview
      • 30.2.3.2. Products and Services
      • 30.2.3.3. Strategy
      • 30.2.3.4. Financial Performance
    • 30.2.4. Enel Green Power S.p.A.
      • 30.2.4.1. Overview
      • 30.2.4.2. Products and Services
      • 30.2.4.3. Strategy
      • 30.2.4.4. Financial Performance
    • 30.2.5. Huawei Technologies Co. Ltd
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

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

33. Global Generative AI In Energy Market Competitive Dashboard

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

35. Generative AI In Energy Market Future Outlook and Potential Analysis

  • 35.1 Generative AI In Energy Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Generative AI In Energy Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Generative AI In Energy Market In 2028 - 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