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市场调查报告书
商品编码
1427686

2024 年能源人工智慧全球市场报告

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

价格
简介目录

能源人工智慧的市场规模预计在未来几年将快速成长。预计到 2028 年将以 20.2% 的复合年增长率 (CAGR) 增长至 133.6 亿美元。能源领域人工智慧的预期增长期受到多种因素的推动，包括分散能源系统的采用、能源储存的有效管理、智慧城市和基础设施的发展、交通电气化程度的提高以及边缘运算技术的整合。 它是由预测期内预计的主要趋势包括能源效率分析的应用、自主能源基础设施的开发、网路安全解决方案的实施、虚拟发电厂的出现以及利用边缘人工智慧进行能源管理。

在可预见的未来，微电网部署的预期激增将推动人工智慧市场技术在能源领域的扩展。微电网是指自主运作或与主电网联合运作的局部能源系统。这些微电网将对能源领域的人工智慧进步的整合和优化产生重大影响。他们的角色包括促进智慧能源管理、电网优化和再生能源来源的无缝整合。这种整合实现了能源领域的各种人工智慧应用，包括需量反应、负载平衡和再生能源来源的同化。值得注意的是，美国顾问公司 Guidehouse 2021 年 11 月的一份报告发现，2021 年美国可再生微电网装置容量约为 979 兆瓦，预计这一激增将持续到 2030 年。2020年达到32,470兆瓦。微电网的兴起将推动能源领域人工智慧市场的成长。

能源资产管理需求的成长预计将推动人工智慧市场在能源领域的更大整合。能源资产管理摘要了一种全面的策略方法，旨在监控、优化和最大化组织内或各种设施中能源相关资产的性能和效率。能源资产管理利用人工智慧（AI）彻底分析能源资产的资料集，预测需求模式，优化能源生产和消耗，检测异常，实施即时调整，我会做。例如，国际能源总署（IEA）2023年7月发布的统计数据显示，2022年全球发电量将增加2.4%，总合达到约700兆瓦瓦时（TWh），能源资产的需求不断增长。管理。因此，对能源资产管理不断增长的需求预计将推动人工智慧在能源市场的普及。

目录

第一章执行摘要

第二章 市场特点

第三章 市场趋势与策略

第四章宏观经济情景

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

第五章世界市场规模与成长

  • 全球市场驱动因素与限制因素
    • 市场驱动因素
    • 市场限制因素
  • 2018-2023 年全球市场规模表现与成长
  • 全球市场规模预测与成长，2023-2028、2033

第六章市场区隔

  • 全球能源市场人工智慧，依产品、绩效和预测细分，2018-2023、2023-2028、2033
  • 支援服务
  • 硬体
  • AI-as-a-Service
  • 软体
  • 全球能源人工智慧市场，按部署、效能和预测细分，2018-2023、2023-2028、2033
  • 本地
  • 云
  • 全球能源人工智慧市场，按应用细分、效能和预测，2018-2023、2023-2028、2033
  • 需量反应管理
  • 车队和资产管理
  • 可再生能源管理
  • 精密钻孔
  • 需求预测
  • 基础设施管理
  • 其他用途
  • 全球能源市场人工智慧，按最终用户细分，实际和预测，2018-2023、2023-2028、2033
  • 能量转移
  • 能源产出
  • 能量分布
  • 公共工程
  • 其他最终用户

第 7 章 区域与国家分析

  • 全球能源人工智慧市场，按地区、绩效和预测，2018-2023、2023-2028、2033
  • 全球能源人工智慧市场，按国家、绩效和预测，2018-2023、2023-2028、2033

第八章亚太市场

第九章 中国市场

第十章 印度市场

第十一章 日本市场

第十二章 澳洲市场

第十三章 印尼市场

第14章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章 德国市场

第十八章 法国市场

第十九章 义大利市场

第20章 西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章加拿大市场

第26章 南美洲市场

第27章 巴西市场

第28章 中东市场

第29章 非洲市场

第三十章 竞争形势及公司概况

  • 能源市场竞争形势中的人工智慧
  • 能源领域人工智慧市场公司概况
    • Google LLC.
    • Microsoft Corporation
    • Engie SA
    • Huawei Technologies Co Ltd.
    • Siemens AG

第31章 其他大型创新公司

  • 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章竞争基准化分析

第 33 章. 竞争对手仪表板

第三十四章 重大併购

第35章 未来前景与可能性分析

第36章附录

简介目录
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.
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  • Outperform competitors using forecast data and the drivers and trends shaping the market.
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  • Benchmark performance against key competitors.
  • Suitable for supporting your internal and external presentations with reliable high quality data and analysis
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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 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