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1686466

2025年能源領域生成式人工智慧全球市場報告

Generative AI In Energy Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 200 Pages | 商品交期: 2-10個工作天內

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簡介目錄

預計未來幾年能源領域生成式人工智慧的市場規模將呈指數級成長。到 2029 年，這一數字將成長至 30.7 億美元，複合年成長率為 26.3%。預測期內的成長可歸因於準確性的提高、對改善分銷的需求、對客戶參與的關注度的提高、太陽能和風力發電的採用率的提高以及資產管理的提高。預測期內的關鍵趨勢包括即時預測、動態適應和最佳化、增強預測分析、進階資料來源整合、預測性維護和資產管理以及智慧電網管理。

預計太陽能發電量的增加將推動能源領域生成式人工智慧市場的成長。太陽能發電利用光伏 (PV) 電池板或聚光型太陽光電(CSP) 系統將陽光轉化為電能，其發展受到技術成本下降和人們對其環境效益認知提高的推動，例如與石化燃料相比減少二氧化碳排放。太陽能光電和發電人工智慧技術的整合為提高能源系統的效率、可靠性和永續性提供了巨大的機會，並支持向更清潔、更具彈性的能源未來過渡。例如，美國能源資訊署（EIA）在2023年3月預測，太陽能將占美國當年新增發電量的一半以上，同時預計可再生能源在全球發電結構中的佔比將從2022年的29%上升到2025年的35%。預計全球電力產業的二氧化碳排放將在2022年達到峰值，約13.2千兆噸（Gt），然後在2025年之前保持穩定。在美國，截至2023年1月，公用事業規模的太陽能發電量為73.5千兆瓦（GW），約佔總發電量的6%，而風電佔141.3千兆瓦，約佔12%。此外，美國開發商計劃今年增加7.1GW的風電容量和8.6GW的電池儲存容量，使全國的電池儲存總容量翻倍。因此，太陽能發電量的增加是推動能源領域生成式人工智慧市場發展的關鍵因素。

能源市場產生人工智慧的主要參與者正專注於開發創新產品，例如即時資產績效管理解決方案，以最佳化能源生產、分配和消費流程。即時資產績效管理涉及即時或近距離即時監控、分析和最佳化機械、設備和基礎設施等資產的性能。例如，2024年4月，美國主要企業的資料、分析和人工智慧公司Databricks Inc.推出了能源產業的資料智慧平台。此整合平台將利用人工智慧的力量來增強能源產業的資料主導決策。它透過即時資產績效管理、可再生預測和電網最佳化等功能解決關鍵產業挑戰，使企業能夠加強其能源基礎設施並有效管理市場波動。 Databricks資料智慧平台運作在湖屋架構上，為資料管治提供開放、統一的基礎，並由旨在了解資料獨特性的資料智慧引擎所驅動。

目錄

第1章執行摘要

第2章 市場特徵

第3章 市場趨勢與策略

第4章 市場 - 宏觀經濟情景，包括利率、通膨、地緣政治、新冠疫情以及復甦對市場的影響

第5章 全球成長分析與策略分析框架

  • 能源領域的生成性人工智慧全球 PESTEL 分析（政治、社會、技術、環境、法律因素、促進因素、限制因素）
  • 最終用途產業分析
  • 全球能源市場生成人工智慧：成長率分析
  • 全球能源產生人工智慧市場表現：規模與成長，2019-2024
  • 全球能源產生人工智慧市場預測：規模與成長，2024-2029 年，2034 年
  • 全球能源領域生成式人工智慧總可尋址市場 (TAM)

第6章市場區隔

  • 全球能源市場中的生成人工智慧：按組件、性能和預測，2019-2024 年、2024-2029 年、2034 年
  • 解決方案
  • 服務
  • 全球能源領域生成式人工智慧市場：應用、表現與預測（2019-2024 年、2024-2029 年及 2034 年）
  • 需求預測
  • 可再生能源產量預測
  • 電網管理和最佳化
  • 能源交易和定價
  • 客戶服務
  • 能源儲存最佳化
  • 其他用途
  • 全球能源領域生成式人工智慧市場：按最終用戶、績效及預測，2019-2024 年、2024-2029 年、2034 年
  • 能量傳輸
  • 能源產出
  • 能源分配
  • 實用工具
  • 其他最終用戶
  • 全球能源市場產生人工智慧、解決方案細分、類型、效能和預測（2019-2024 年、2024-2029 年及 2034 年）
  • 能源需求預測
  • 預測性維護解決方案
  • 人工智慧驅動的能源最佳化工具
  • 可再生能源管理解決方案
  • 全球能源領域生成人工智慧市場，依服務類型、績效及預測細分，2019-2024 年、2024-2029 年、2034 年
  • 諮詢服務
  • 實施和整合服務
  • 支援和維護服務
  • 培訓服務

第7章 區域和國家分析

  • 全球能源市場中的生成人工智慧：按地區、表現和預測，2019-2024 年、2024-2029 年、2034 年
  • 全球能源領域生成式人工智慧市場：依國家、地區、績效及預測，2019-2024 年、2024-2029 年、2034 年

第8章 亞太市場

第9章：中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章：義大利市場

第20章：西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章：加拿大市場

第26章 南美洲市場

第27章：巴西市場

第28章 中東市場

第29章：非洲市場

第30章競爭格局與公司概況

  • 能源領域的生成式人工智慧：競爭格局
  • 能源市場中的生成式人工智慧：公司簡介
    • 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 其他大型創新企業

  • 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 章全球市場競爭基準化分析與儀表板

第33章 重大併購

第34章近期市場趨勢

第 35 章 高市場潛力國家、細分市場與策略

  • 2029年能源領域的生成式人工智慧：提供新機會的國家
  • 2029年能源領域的生成式人工智慧：帶來新機會領域
  • 2029年能源市場中的生成式人工智慧：成長策略
    • 基於市場趨勢的策略
    • 競爭對手的策略

第36章 附錄

簡介目錄
Product Code: r28154

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 $0.95 billion in 2024 to $1.21 billion in 2025 at a compound annual growth rate (CAGR) of 26.7%. 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 $3.07 billion in 2029 at a compound annual growth rate (CAGR) of 26.3%. 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 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? 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 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 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
  • 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, Covid And Recovery On The Market

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