エネルギーにおけるジェネレーティブAIの世界市場レポート 2025年

エネルギーにおけるジェネレーティブAI市場規模は、今後数年で飛躍的な成長が見込まれます。2029年にはCAGR26.3％で30億7,000万米ドルに成長します。予測期間の成長は、精度の向上、配電改善需要、顧客エンゲージメント重視の高まり、太陽光・風力エネルギー導入の増加、資産管理の高まりに起因すると考えられます。予測期間における主な動向には、リアルタイム予測、動的適応と最適化、予測分析の強化、高度なデータソースの統合、予測保守と資産管理、スマートグリッド管理などがあります。

太陽光発電の増加は、エネルギー分野におけるジェネレーティブAI市場の成長を促進すると予想されます。太陽光発電は、太陽光発電（PV）パネルや集光型太陽光発電（CSP）システムを使って太陽光を電力に変換するもので、技術コストの低下や、化石燃料に比べて二酸化炭素排出量を削減できるなど、環境面での利点に対する意識の高まりが普及を後押ししています。太陽光発電と発電AI技術の統合は、エネルギーシステムの効率性、信頼性、持続可能性を向上させ、よりクリーンで強靭なエネルギーの未来への移行を支援する大きな機会を提供します。例えば、2023年3月、米国エネルギー情報局（EIA）は、その年の米国における新規発電容量増加の半分以上を太陽光エネルギーが占めると予測し、一方、世界の発電構成に占める再生可能エネルギーの割合は、2022年の29%から2025年には35%に増加すると予測しています。世界の電力セクターからのCO2排出量は、2022年の約13.2ギガトン（Gt）をピークに、2025年まで安定すると予想されています。米国では、2023年1月現在、電力会社規模の太陽光発電は73.5ギガワット（GW）で総発電容量の約6％を占め、風力発電は141.3GWで約12％です。さらに、米国の開発業者は今年、風力発電容量を7.1GW拡大し、8.6GWの蓄電池を追加する計画であり、事実上、全米の蓄電池容量は倍増します。したがって、太陽光発電の増加は、エネルギー分野におけるジェネレーティブAI市場を牽引する重要な要因です。

エネルギー市場におけるジェネレーティブAIの主なプレーヤーは、エネルギーの生産、流通、消費プロセスを最適化するために、リアルタイム資産パフォーマンス管理ソリューションなどの革新的な製品の開発に注力しています。リアルタイム資産パフォーマンス管理は、機械、設備、インフラなどの資産のパフォーマンスをリアルタイムまたはほぼリアルタイムで監視、分析、最適化することを含みます。例えば、2024年4月、米国を拠点とするデータ、分析、人工知能の主要企業であるDatabricks Inc.は、エネルギー部門向けのデータ・インテリジェンス・プラットフォームを発表しました。この統合プラットフォームは、AIの力を活用し、エネルギー業界におけるデータ主導の意思決定を強化します。リアルタイムの資産パフォーマンス管理、再生可能エネルギー予測、グリッド最適化などの機能を通じて業界の重要な課題に対応し、企業がエネルギー・インフラを強化し、市場の変動を効果的に管理できるようにします。Databricksのデータインテリジェンスプラットフォームは、データとガバナンスのためのオープンで統一された基盤を提供するレイクハウスアーキテクチャ上で動作し、データの独自性を理解するように設計されたデータインテリジェンスエンジンによって駆動されます。

目次

第1章 エグゼクティブサマリー

第2章 市場の特徴

第3章 市場動向と戦略

第4章 市場- 金利、インフレ、地政学、コロナ、回復が市場に与える影響を含むマクロ経済シナリオ

第5章 世界の成長分析と戦略分析フレームワーク

• 世界エネルギーにおけるジェネレーティブAI PESTEL分析（政治、社会、技術、環境、法的要因、促進要因、抑制要因）
• 最終用途産業の分析
• 世界のエネルギーにおけるジェネレーティブAI市場：成長率分析
• 世界のエネルギーにおけるジェネレーティブAI市場の実績：規模と成長, 2019-2024
• 世界のエネルギーにおけるジェネレーティブAI市場の予測：規模と成長, 2024-2029, 2034F
• 世界エネルギーにおけるジェネレーティブAI総アドレス可能市場（TAM）

第6章 市場セグメンテーション

• 世界のエネルギーにおけるジェネレーティブAI市場：コンポーネント別、実績と予測, 2019-2024, 2024-2029F, 2034F
• ソリューション
• サービス
• 世界のエネルギーにおけるジェネレーティブAI市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 需要予測
• 再生可能エネルギー出力予測
• グリッド管理と最適化
• エネルギー取引と価格設定
• 顧客向けサービス
• エネルギー貯蔵の最適化
• その他の用途
• 世界のエネルギーにおけるジェネレーティブAI市場：エンドユーザー別、実績と予測, 2019-2024, 2024-2029F, 2034F
• エネルギートランスミッション
• エネルギー生成
• エネルギー分配
• ユーティリティ
• その他のエンドユーザー
• 世界のエネルギーにおけるジェネレーティブAI市場、ソリューションのサブセグメンテーション、タイプ別、実績と予測, 2019-2024, 2024-2029F, 2034F
• エネルギー需要予測
• 予知保全ソリューション
• AI駆動型エネルギー最適化ツール
• 再生可能エネルギー管理ソリューション
• 世界のエネルギーにおけるジェネレーティブAI市場、サービスの種類別の細分化、実績と予測, 2019-2024, 2024-2029F, 2034F
• コンサルティングサービス
• 実装および統合サービス
• サポートおよびメンテナンスサービス
• トレーニングサービス

第7章 地域別・国別分析

• 世界のエネルギーにおけるジェネレーティブAI市場：地域別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 世界のエネルギーにおけるジェネレーティブAI市場：国別、実績と予測, 2019-2024, 2024-2029F, 2034F

第8章 アジア太平洋市場

第9章 中国市場

第10章 インド市場

第11章 日本市場

第12章 オーストラリア市場

第13章 インドネシア市場

第14章 韓国市場

第15章 西欧市場

第16章 英国市場

第17章 ドイツ市場

第18章 フランス市場

第19章 イタリア市場

第20章 スペイン市場

第21章 東欧市場

第22章 ロシア市場

第23章 北米市場

第24章 米国市場

第25章 カナダ市場

第26章 南米市場

第27章 ブラジル市場

第28章 中東市場

第29章 アフリカ市場

第30章 競合情勢と企業プロファイル

• エネルギーにおけるジェネレーティブAI市場：競合情勢
• エネルギーにおけるジェネレーティブAI市場：企業プロファイル
  • 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 S.p.A. Overview, Products and Services, Strategy and Financial Analysis
  • Huawei Technologies Co. Ltd Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

• 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 世界の市場競合ベンチマーキングとダッシュボード

第33章 主要な合併と買収

第34章 最近の市場動向

第35章 市場の潜在力が高い国、セグメント、戦略

• エネルギーにおけるジェネレーティブAI市場2029：新たな機会を提供する国
• エネルギーにおけるジェネレーティブAI市場2029：新たな機会を提供するセグメント
• エネルギーにおけるジェネレーティブAI市場2029：成長戦略
  • 市場動向に基づく戦略
  • 競合の戦略

第36章 付録

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