查看購物車
  • Simplified Chinese
  • English
  • Japanese
封面
市場調查報告書
商品編碼
1427686

2024 年能源人工智慧全球市場報告

AI In Energy Global Market Report 2024
出版日期: 按訂單生產 | 出版商: The Business Research Company | 英文 175 Pages | 商品交期: 2-10個工作天內

價格
簡介目錄

能源人工智慧的市場規模預計在未來幾年將快速成長。預計到 2028 年將以 20.2% 的複合年成長率 (CAGR) 成長至 133.6 億美元。能源領域人工智慧的預期成長期受到多種因素的推動，包括分散能源系統的採用、能源儲存的有效管理、智慧城市和基礎設施的發展、交通電氣化程度的提高以及邊緣運算技術的整合。 它是由預測期內預計的主要趨勢包括能源效率分析的應用、自主能源基礎設施的開發、網路安全解決方案的實施、虛擬發電廠的出現以及利用邊緣人工智慧進行能源管理。

在可預見的未來，微電網部署的預期激增將推動人工智慧市場技術在能源領域的擴展。微電網是指自主運作或與主電網聯合運作的局部能源系統。這些微電網將對能源領域的人工智慧進步的整合和最佳化產生重大影響。他們的角色包括促進智慧能源管理、電網最佳化和再生能源來源的無縫整合。這種整合實現了能源領域的各種人工智慧應用，包括需量反應、負載平衡和再生能源來源的同化。值得注意的是，美國顧問公司 Guidehouse 2021 年 11 月的一份報告發現，2021 年美國可再生微電網裝置容量約為 979 兆瓦，預計這一激增將持續到 2030 年。2020年達到32,470兆瓦。微電網的興起將推動能源領域人工智慧市場的成長。

能源資產管理需求的成長預計將推動人工智慧市場在能源領域的更大整合。能源資產管理摘要了一種全面的策略方法，旨在監控、最佳化和最大化組織內或各種設施中能源相關資產的性能和效率。能源資產管理利用人工智慧（AI）徹底分析能源資產的資料集，預測需求模式，最佳化能源生產和消耗，檢測異常，實施即時調整，我會做。例如，國際能源總署（IEA）2023年7月發布的統計數據顯示，2022年全球發電量將增加2.4%，總合達到約700兆瓦瓦時（TWh），能源資產的需求不斷成長。管理。因此，對能源資產管理不斷成長的需求預計將推動人工智慧在能源市場的普及。

目錄

第1章執行摘要

第2章 市場特點

第3章 市場趨勢與策略

第4章宏觀經濟情景

  • 高通膨對市場的影響
  • 烏克蘭與俄羅斯戰爭對市場的影響
  • COVID-19 對市場的影響

第5章世界市場規模與成長

  • 全球市場促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 2018-2023 年全球市場規模表現與成長
  • 全球市場規模預測與成長，2023-2028、2033

第6章市場區隔

  • 全球能源市場人工智慧，依產品、績效和預測細分，2018-2023、2023-2028、2033
  • 支援服務
  • 硬體
  • AI-as-a-Service
  • 軟體
  • 全球能源人工智慧市場，按部署、效能和預測細分，2018-2023、2023-2028、2033
  • 本地
  • 雲
  • 全球能源人工智慧市場，按應用細分、效能和預測，2018-2023、2023-2028、2033
  • 需量反應管理
  • 車隊和資產管理
  • 可再生能源管理
  • 精密鑽孔
  • 需求預測
  • 基礎設施管理
  • 其他用途
  • 全球能源市場人工智慧，按最終用戶細分，實際和預測，2018-2023、2023-2028、2033
  • 能量轉移
  • 能源產出
  • 能量分佈
  • 公共工程
  • 其他最終用戶

第 7 章 區域與國家分析

  • 全球能源人工智慧市場，按地區、績效和預測，2018-2023、2023-2028、2033
  • 全球能源人工智慧市場，按國家、績效和預測，2018-2023、2023-2028、2033

第8章亞太市場

第9章 中國市場

第10章 印度市場

第11章 日本市場

第12章 澳洲市場

第13章 印尼市場

第14章 韓國市場

第15章 西歐市場

第16章英國市場

第17章 德國市場

第18章 法國市場

第19章 義大利市場

第20章 西班牙市場

第21章 東歐市場

第22章 俄羅斯市場

第23章 北美市場

第24章美國市場

第25章加拿大市場

第26章 南美洲市場

第27章 巴西市場

第28章 中東市場

第29章 非洲市場

第30章 競爭形勢及公司概況

  • 能源市場競爭形勢中的人工智慧
  • 能源領域人工智慧市場公司概況
    • Google LLC.
    • Microsoft Corporation
    • Engie SA
    • Huawei Technologies Co Ltd.
    • Siemens AG

第31章 其他大型創新公司

  • 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章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章 未來前景與可能性分析

第36章附錄

簡介目錄
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