エネルギーにおけるAIの世界市場レポート 2025年

エネルギーにおけるAIの市場規模は、今後数年間で飛躍的な成長が見込まれます。2029年にはCAGR22.0％で509億1,000万米ドルに成長します。予測期間の成長は、分散型エネルギーシステム、エネルギー貯蔵管理、スマートシティとインフラ、交通の電化、エッジコンピューティングの統合に起因しています。予測期間の主な動向には、エネルギー効率分析、自律型エネルギーインフラ、サイバーセキュリティソリューション、仮想発電所、エネルギー管理用エッジAIなどがあります。

マイクログリッドの採用拡大が、今後数年間のエネルギーにおけるAI市場の拡大を促進すると予想されます。マイクログリッドは、独立して、または主電力網と連携して動作することができる局所的なエネルギーシステムです。これらのマイクログリッドは、エネルギー部門におけるAI技術の統合と最適化に不可欠であり、インテリジェントなエネルギー管理、送電網の最適化、再生可能エネルギー源の導入を促進します。マイクログリッドは、需要応答、負荷分散、再生可能エネルギーの統合など、エネルギー分野におけるさまざまなAIアプリケーションをサポートします。マイクログリッドの利用が増加するにつれて、エネルギーにおけるAI市場は大幅な成長を遂げています。例えば、2024年9月、英国のエネルギー安全保障・ネットゼロ省（Department for Energy Security and Net Zero）が発表したエネルギー動向報告書によると、2024年第2四半期の設備容量は2023年同期比で3.9％（210万kW）増加し、合計57.5万kWに達したことが明らかになりました。このため、マイクログリッドの利用が増加し、エネルギーにおけるAI市場の成長が今後促進されると予想されます。

エネルギー資産管理に対する需要の急増は、エネルギーにおけるAI市場統合の拡大に舵を切ると予測されます。エネルギー資産管理は、組織内またはさまざまな施設にわたるエネルギー関連資産の性能と効率を監督、最適化、最大化することを目的とした包括的かつ戦略的なアプローチを包含しています。人工知能（AI）を活用することで、エネルギー資産管理は、エネルギー資産からの広範なデータセットの分析、需要パターンの予測、エネルギー生産と消費の最適化、異常の検出、リアルタイムの調整の実施を掘り下げます。例えば、国際エネルギー機関（IEA）が2023年7月に発表した統計によると、2022年の発電量は世界全体で2.4％増加し、合計で約700テラワット時（TWh）に達することが明らかになり、エネルギー資産管理の必要性が高まっていることが浮き彫りになりました。その結果、エネルギー資産管理に対する需要の高まりが、エネルギーにおけるAI市場の普及を促進すると予想されます。

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、コロナ禍、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

• 世界のエネルギーにおける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AI市場：成長率分析
• 世界のエネルギーにおける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AI市場の予測：規模と成長, 2024-2029, 2034F
• 世界のエネルギーにおける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AI市場：提供別、実績と予測, 2019-2024, 2024-2029F, 2034F
• サポートサービス
• ハードウェア
• AI-As-A-Service
• ソフトウェア
• 世界のエネルギーにおけるAI市場：展開別、実績と予測, 2019-2024, 2024-2029F, 2034F
• オンプレミス
• クラウド
• 世界のエネルギーにおけるAI市場：用途別、実績と予測, 2019-2024, 2024-2029F, 2034F
• 需要応答管理
• 車両および資産管理
• 再生可能エネルギー管理
• 精密掘削
• 需要予測
• インフラストラクチャ管理
• その他の用途
• 世界のエネルギーにおける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AI市場、タイプ別サブセグメンテーション：サポートサービス、実績と予測, 2019-2024, 2024-2029F, 2034F
• コンサルティングサービス
• 実装サービス
• メンテナンスおよびサポートサービス
• 世界のエネルギーにおけるAI市場、タイプ別サブセグメンテーション：ハードウェア、実績と予測, 2019-2024, 2024-2029F, 2034F
• AI搭載センサー
• スマートメーター
• エッジコンピューティングデバイス
• 世界のエネルギーにおけるAI市場、タイプ別サブセグメンテーション：AI-as-a-Service、実績と予測, 2019-2024, 2024-2029F, 2034F
• 機械学習プラットフォーム
• データ分析サービス
• モデルトレーニングおよび開発サービス
• 世界のエネルギーにおけるAI市場、タイプ別サブセグメンテーション：ソフトウェア、実績と予測, 2019-2024, 2024-2029F, 2034F
• エネルギー管理ソフトウェア
• 予知保全ソフトウェア
• 需要応答ソフトウェア
• グリッド管理ソフトウェア

第7章 地域別・国別分析

• 世界のエネルギーにおける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AI市場：競合情勢
• エネルギーにおけるAI市場：企業プロファイル
  • Google Overview, Products and Services, Strategy and Financial Analysis
  • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
  • Engie SA Overview, Products and Services, Strategy and Financial Analysis
  • Huawei Technologies Co Ltd. Overview, Products and Services, Strategy and Financial Analysis
  • Siemens AG Overview, Products and Services, Strategy and Financial Analysis

第31章 その他の大手企業と革新的企業

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

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AI市場2029：新たな機会を提供する国
• エネルギーにおける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

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

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

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

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

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

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

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

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

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

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

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

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

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

The AI in the energy market consists of revenues earned by entities by providing services such as smart grid operations and robotics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the energy market also includes sales of PyTorch integration and analog device simulators. Values in this market are 'factory gate' values, that is, the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors, and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD, unless otherwise specified).

The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

AI In Energy Global Market Report 2025 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses on ai in energy market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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Where is the largest and fastest growing market for ai in energy ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The ai in energy market global report from the Business Research Company answers all these questions and many more.

The report covers market characteristics, size and growth, segmentation, regional and country breakdowns, competitive landscape, market shares, trends and strategies for this market. It traces the market's historic and forecast market growth by geography.

• The market characteristics section of the report defines and explains the market.
• The market size section gives the market size ($b) covering both the historic growth of the market, and forecasting its development.
• The forecasts are made after considering the major factors currently impacting the market. These include:

The forecasts are made after considering the major factors currently impacting the market. These include the Russia-Ukraine war, rising inflation, higher interest rates, and the legacy of the COVID-19 pandemic.

• Market segmentations break down the market into sub markets.
• The regional and country breakdowns section gives an analysis of the market in each geography and the size of the market by geography and compares their historic and forecast growth. It covers the growth trajectory of COVID-19 for all regions, key developed countries and major emerging markets.
• The competitive landscape chapter gives a description of the competitive nature of the market, market shares, and a description of the leading companies. Key financial deals which have shaped the market in recent years are identified.
• The trends and strategies section analyses the shape of the market as it emerges from the crisis and suggests how companies can grow as the market recovers.

Scope

• Markets Covered:1) By Offering: Support Services; Hardware; AI-As-A-Service; Software
• 2) By Deployment: On-Premise; Cloud
• 3) By Application: Demand Response Management; Fleet And Asset Management; Renewable Energy Management; Precision Drilling; Demand Forecasting; Infrastructure Management; Other Applications
• 4) By End User: Energy Transmission; Energy Generation; Energy Distribution; Utilities; Other End Users
• Subsegments:
• 1) By Support Services: Consulting Services; Implementation Services; Maintenance And Support Services
• 2) By Hardware: AI-Powered Sensors; Smart Meters; Edge Computing Devices
• 3) By AI-As-A-Service: Machine Learning Platforms; Data Analytics Services; Model Training And Development Services
• 4) By Software: Energy Management Software; Predictive Maintenance Software; Demand Response Software; Grid Management Software
• Companies Mentioned: Google; Microsoft Corporation; Engie SA; Huawei Technologies Co Ltd.; Siemens AG
• Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
• Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
• Time series: Five years historic and ten years forecast.
• Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
• Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
• Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
• Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI In Energy Market Characteristics

3. AI In Energy Market Trends And Strategies

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

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

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

6. AI In Energy Market Segmentation

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

7. AI In Energy Market Regional And Country Analysis

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

8. Asia-Pacific AI In Energy Market

• 8.1. Asia-Pacific AI In Energy Market Overview
• Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
• 8.2. Asia-Pacific AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.3. Asia-Pacific AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
• 8.4. Asia-Pacific AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Energy Market

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

10. India AI In Energy Market

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

11. Japan AI In Energy Market

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

12. Australia AI In Energy Market

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

13. Indonesia AI In Energy Market

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

14. South Korea AI In Energy Market

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

15. Western Europe AI In Energy Market

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

16. UK AI In Energy Market

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

17. Germany AI In Energy Market

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

18. France AI In Energy Market

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

19. Italy AI In Energy Market

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

20. Spain AI In Energy Market

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

21. Eastern Europe AI In Energy Market

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

22. Russia AI In Energy Market

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

23. North America AI In Energy Market

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

24. USA AI In Energy Market

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

25. Canada AI In Energy Market

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

26. South America AI In Energy Market

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

27. Brazil AI In Energy Market

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

28. Middle East AI In Energy Market

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

29. Africa AI In Energy Market

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

30. AI In Energy Market Competitive Landscape And Company Profiles

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

31. AI In Energy Market Other Major And Innovative Companies

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

32. Global AI In Energy Market Competitive Benchmarking And Dashboard

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

34. Recent Developments In The AI In Energy Market

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

• 35.1 AI In Energy Market In 2029 - Countries Offering Most New Opportunities
• 35.2 AI In Energy Market In 2029 - Segments Offering Most New Opportunities
• 35.3 AI In Energy Market In 2029 - Growth Strategies
  • 35.3.1 Market Trend Based Strategies
  • 35.3.2 Competitor Strategies

36. Appendix

• 36.1. Abbreviations
• 36.2. Currencies
• 36.3. Historic And Forecast Inflation Rates
• 36.4. Research Inquiries
• 36.5. The Business Research Company
• 36.6. Copyright And Disclaimer