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エネルギーにおけるAIの世界市場レポート 2024

AI In Energy Global Market Report 2024
出版日: 受注後更新 | 発行: The Business Research Company | ページ情報: 英文 175 Pages | 納期: 2～10営業日

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エネルギーにおけるAIの世界市場レポート 2024
出版日: 受注後更新
発行: The Business Research Company
ページ情報: 英文 175 Pages
納期: 2～10営業日
  • 全表示
  • 概要
  • 目次
概要

エネルギーにおけるAIの市場規模は、今後数年間で急激に成長すると予想されています。 2028年には20.2%の年間複合成長率（CAGR）で133億6,000万米ドルに成長すると予想されます。 エネルギー分野におけるAIの予測成長期間は、分散型エネルギーシステムの採用、エネルギー貯蔵の効果的な管理、スマートシティとインフラの開発、輸送の電化の増加、エッジコンピューティング技術の統合など、さまざまな要因に起因しています。予測期間中に予想される主な動向には、エネルギー効率分析の適用、自律型エネルギーインフラの開発、サイバーセキュリティソリューションの実装、仮想発電所の出現、エネルギー管理のためのエッジAIの利用が含まれます。

予想されるマイクログリッド導入の急増は、予見可能な将来、エネルギーにおけるAI市場テクノロジーの拡大を促進することになるでしょう。マイクログリッドは、自律的に、または一次電力網と連携して機能する局所的なエネルギーシステムを指します。これらのマイクログリッドは、エネルギー分野におけるAIの進歩の統合と最適化に大きな影響力を及ぼします。彼らの役割には、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シームレスな統合の促進が含まれます。この統合により、デマンドレスポンス、負荷分散、再生可能エネルギー源の同化など、さまざまなエネルギーにおけるAIアプリケーションが可能になります。注目すべきことに、米国に本拠を置くコンサルティング会社であるガイドハウスによる2021年11月のレポートでは、2021年に米国で約979メガワットの再生可能マイクログリッド容量が設置され、その急増は2030年までに32,470メガワットに達すると予想されていることが明らかになった。マイクログリッドの増加により、エネルギーにおけるAI市場の成長が推進される準備が整っています。

エネルギー資産管理に対する需要の高まりにより、エネルギーにおけるAI市場統合の拡大が進むと予測されています。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パフォーマンスと効率を監視、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要約しています。人工知能（AI）を活用するエネルギー資産管理では、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、エネルギーの生産と消費の最適化、異常の検出、リアルタイム調整の実装を徹底的に行います。たとえば、2023年7月に国際エネルギー機関（IEA）が発表した統計では、2022年の世界の発電量は2.4％増加し、合計約700テラワット時（TWh）に達すると発表されており、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となりました。その結果、エネルギー資産管理に対する需要の高まりにより、エネルギー市場におけるAIの普及が促進されると予想されます。

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 マクロ経済シナリオ

  • 高インフレが市場に与える影響
  • ウクライナ・ロシア戦争が市場に与える影響
  • COVID-19による市場への影響

第5章 世界市場規模と成長

  • 世界の市場促進要因と抑制要因
    • 市場促進要因
    • 市場抑制要因
  • 世界の市場規模実績と成長、2018年～2023年
  • 世界の市場規模予測と成長、2023年～2028年、2033年

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、製品別セグメンテーション、実績および予測、2018-2023、2023-2028年、2033年
  • 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、展開別セグメンテーション、実績および予測、2018-2023、2023-2028年、2033年
  • 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、用途別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • デマンドレスポンス管理
  • フリートと資産の管理
  • 再生可能エネルギー管理
  • 精密穴あけ
  • 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、エンドユーザー別セグメンテーション、実績および予測、2018-2023年、2023-2028年、2033年
  • エネルギー伝達
  • エネルギー生成
  • エネルギー分配
  • 公共事業
  • その他のエンドユーザー

第7章 地域および国の分析

  • 世界のエネルギーにおけるAI市場、地域別、実績および予測、2018-2023年、2023-2028年、2033年
  • 世界のエネルギーにおけるAI市場、国別、実績および予測、2018-2023年、2023-2028年、2033年

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

  • エネルギー市場の競合情勢におけるAI
  • エネルギーにおけるAI市場企業プロファイル
    • Google LLC.
    • Microsoft Corporation
    • Engie SA
    • Huawei Technologies Co Ltd.
    • Siemens AG

第31章 その他の大手および革新的な企業

  • 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 SpA
  • Databricks Inc.

第32章 競合ベンチマーキング

第33章 競合ダッシュボード

第34章 主要な合併と買収

第35章 将来の見通しと可能性の分析

第36章 付録

目次
Product Code: r13530

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 $5.23 billion in 2023 to $6.39 billion in 2024 at a compound annual growth rate (CAGR) of 22.2%. The growth observed in the historic period for AI in energy can be attributed to several factors, including the use of data analytics for improving efficiency, implementing demand response management strategies, adopting predictive maintenance practices, optimizing grid operations, and integrating renewable energy sources. These applications collectively contributed to the increased adoption and success of AI technologies in the energy sector during the historical period, enhancing overall operational effectiveness and sustainability.

The ai in energy market size is expected to see exponential growth in the next few years. It will grow to $13.36 billion in 2028 at a compound annual growth rate (CAGR) of 20.2%. The anticipated growth in the forecast period for AI in energy can be attributed to various factors, including the adoption of decentralized energy systems, effective management of energy storage, the development of smart cities and infrastructure, the increasing electrification of transportation, and the integration of edge computing technologies. Key trends expected in the forecast period encompass the application of energy efficiency analytics, the development of autonomous energy infrastructure, the implementation of cybersecurity solutions, the emergence of virtual power plants, and the utilization of edge AI for energy management.

The anticipated surge in microgrid adoption is set to catalyze the expansion of AI technology within the energy market in the foreseeable future. Microgrids denote localized energy systems functioning autonomously or in conjunction with the primary power grid. These microgrids wield significant influence in integrating and optimizing AI advancements in the energy sector. Their role encompasses facilitating intelligent energy management, grid optimization, and seamless integration of renewable energy sources. This integration enables diverse AI energy applications such as demand response, load balancing, and the assimilation of renewable energy sources. Notably, a report from November 2021 by Guidehouse, a US-based consulting firm, revealed that approximately 979 megawatts of renewable microgrid capacity were installed in the US in 2021, with an expected surge to reach 32,470 megawatts by 2030. Hence, the escalating adoption of microgrids is poised to propel the growth of AI within the energy market.

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 report are 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 2023. 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 2024 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

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

Reasons to Purchase

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

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

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

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

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

Scope

Markets Covered:

  • 1) By 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
  • 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

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

5. Global AI In Energy Market Size and Growth

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

6. AI In Energy Market Segmentation

  • 6.1. Global AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Support Services
  • Hardware
  • AI-As-A-Service
  • Software
  • 6.2. Global AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • On-Premise
  • Cloud
  • 6.3. Global AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Energy Transmission
  • Energy Generation
  • Energy Distribution
  • Utilities
  • Other End Users

7. AI In Energy Market Regional And Country Analysis

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

8. Asia-Pacific AI In Energy Market

  • 8.1. Asia-Pacific AI In Energy Market Overview
  • Region Information, Impact Of COVID-19, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ 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, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India AI In Energy Market

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

12. Australia AI In Energy Market

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

13. Indonesia AI In Energy Market

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

16. UK AI In Energy Market

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

17. Germany AI In Energy Market

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

18. France AI In Energy Market

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

19. Italy AI In Energy Market

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

20. Spain AI In Energy Market

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

22. Russia AI In Energy Market

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

27. Brazil AI In Energy Market

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

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

33. Global AI In Energy Market Competitive Dashboard

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

35. AI In Energy Market Future Outlook and Potential Analysis

  • 35.1 AI In Energy Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 AI In Energy Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 AI In Energy Market In 2028 - Growth Strategies
    • 35.3.1 Market Trend Based Strategies
    • 35.3.2 Competitor Strategies

36. Appendix

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