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市場調查報告書
商品編碼
1499848

2024 年能源產生人工智慧全球市場報告

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

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簡介目錄

能源領域的生成式人工智慧市場規模預計在未來幾年將呈指數級成長。 2028年，將以26.5%的複合年成長率成長至24.3億美元。預測期內的成長是由於追求更高精度的能源管理、增強配電系統的需求、強調客戶參與能源消耗、更多地採用太陽能和風力發電解決方案以及更加重視有效的資產管理技術。種因素造成的，包括：在此期間預計的主要趨勢包括即時預測、動態適應和最佳化技術的進步、增強的預測分析能力、整合先進資料來源以獲得更好的洞察力、預測性維護和資產管理策略以及實施更智慧的電網管理解決方案。

太陽能發電的成長趨勢預計將在短期內推動能源發電人工智慧市場的成長。太陽能利用光伏 (PV) 面板或聚光型太陽光電(CSP) 系統將陽光轉換為電能。太陽能技術成本的下降以及人們對其環境效益的認知不斷提高，例如與石化燃料相比，碳排放降低，推動了太陽能發電的日益普及。太陽能與人工智慧技術的結合將提高能源系統的效率、可靠性和永續性，促進向更清潔、更有彈性的能源環境過渡。例如，根據美國政府機構能源資訊署 2023 年 8 月的資料，美國在 2022 年新增太陽能發電容量 10.9 吉瓦 (GW)。此外，2022年新增小型太陽能產能創紀錄的6.4GW，較2021年的5.5GW成長17%。因此，太陽能的成長正在推動能源領域人工智慧市場的採用。

能源人工智慧時代的主要參與者專注於開發創新產品，例如即時資產績效管理解決方案，以最佳化能源生產、分配和消費流程。即時資產績效管理涉及即時或近距離即時監控、分析和最佳化機器、設備和基礎設施等資產的績效。例如，2024 年 4 月，總部位於美國的全球領先資料、分析和人工智慧公司 Databricks Inc. 宣布推出針對能源領域的資料智慧平台。此整合平台利用人工智慧的力量來增強能源產業的資料主導決策。透過即時資產績效管理、可再生能源預測和電網最佳化等功能解決關鍵產業挑戰，使企業能夠加強其能源基礎設施並有效管理市場波動。 Databricks 的資料智慧平台運行在 Lakehouse架構架構為資料和管治提供開放、統一的基礎，並由旨在了解資料獨特性的資料智慧引擎提供支援。

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

  • 全球能源產生人工智慧市場：促進因素與限制因素
    • 市場促進因素
    • 市場限制因素
  • 全球能源產生人工智慧市場表現：規模與成長，2018-2023
  • 全球生成人工智慧能源市場預測：規模與成長，2023-2028，2033F

第6章 市場細分

  • 全球能源產生人工智慧市場：按組成部分分類的績效和預測，2018-2023、2023-2028F、2033F
  • 解決方案
  • 服務
  • 全球能源發電人工智慧市場：按應用分類的表現與預測，2018-2023、2023-2028F、2033F
  • 需求預測
  • 可再生能源產量預測
  • 網格管理與最佳化
  • 能源交易和定價
  • 客戶服務
  • 能源儲存最佳化
  • 其他用途
  • 全球能源產生人工智慧市場：最終用戶的實際狀況與預測，2018-2023、2023-2028F、2033F
  • 能量傳輸
  • 能源產出
  • 能量分佈
  • 公共事業
  • 其他最終用戶

第 7 章 區域/國家分析

  • 全球能源生成人工智慧市場：按地區分類的表現與預測，2018-2023、2023-2028F、2033F
  • 全球能源生成人工智慧市場：按國家分類的績效和預測，2018-2023、2023-2028F、2033F

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 競爭格局及公司概況

  • 能源領域的生成式人工智慧市場：競爭格局
  • 能源領域的生成人工智慧市場：公司簡介
    • Google LLC
    • Microsoft Corporation
    • Engie SA
    • Enel Green Power SpA
    • Huawei Technologies Co. Ltd

第31章 其他重大及創新企業

  • Amazon Web Services Inc
  • Siemens AG
  • General Electric Company
  • Intel Corporation
  • International Business Machines Corporation
  • Deloitte Touche Tohmatsu Limited
  • Cisco Systems Inc
  • Schneider Electric SE
  • Honeywell International Inc.
  • Flex Ltd
  • ABB Ltd
  • Duke Energy Corporation
  • Nvidia Corporation
  • Atos SE
  • Zen Robotics Ltd

第32章競爭基準化分析

第 33 章. 競爭對手儀表板

第34章 重大併購

第35章前瞻性與潛力分析

第36章附錄

簡介目錄
Product Code: r17752

Generative AI in energy involves leveraging artificial intelligence techniques, like generative adversarial networks (GANs), to create synthetic data or models simulating energy-related processes. These AI systems aid in optimizing energy production, forecasting demand, enhancing grid stability, and developing efficient energy management strategies, thus advancing sustainability and reliability in the energy sector.

The primary components of generative AI in energy include solutions and services. Generative AI solutions in energy utilize artificial intelligence models to tackle various challenges and optimize operations within the energy sector. These solutions find applications in demand forecasting, renewable energy output prediction, grid management, energy trading, customer offerings, energy storage optimization, and more. End users encompass energy transmission, generation, distribution, utilities, and related sectors.

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

The generative AI in energy market size has grown exponentially in recent years. It will grow from $0.75 billion in 2023 to $0.95 billion in 2024 at a compound annual growth rate (CAGR) of 26.3%. The growth in the historic period can be attributed to several factors, including the increasing adoption of renewable energy sources, the need for accurate demand forecasting, the rise of energy storage systems, optimization of demand response strategies, and heightened focus on risk management and resilience within the energy sector.

The generative AI in energy market size is expected to see exponential growth in the next few years. It will grow to $2.43 billion in 2028 at a compound annual growth rate (CAGR) of 26.5%. Forecast period growth can be attributed to several factors, including the pursuit of greater accuracy in energy management, the demand for enhanced electricity distribution systems, a heightened focus on engaging customers in energy consumption, the increasing adoption of solar and wind energy solutions, and a growing emphasis on effective asset management practices. Major trends expected during this period include advancements in real-time forecasting, dynamic adaptation and optimization techniques, improved predictive analytics capabilities, integration of advanced data sources for better insights, emphasis on predictive maintenance and asset management strategies, and the implementation of smarter grid management solutions.

The upward trend in solar electricity generation is expected to drive the growth of generative AI in the energy market in the foreseeable future. Solar electricity generation involves converting sunlight into electricity using photovoltaic (PV) panels or concentrated solar power (CSP) systems. The increasing adoption of solar electricity is fueled by decreasing costs of solar technology and heightened awareness of its environmental advantages, notably reduced carbon emissions compared to fossil fuels. Integrating solar electricity generation with generative AI technologies presents significant opportunities to improve the efficiency, reliability, and sustainability of energy systems, facilitating the transition to a cleaner and more resilient energy landscape. For example, data from August 2023, sourced from the Energy Information Administration, a US-based government agency, revealed that in 2022, the United States witnessed the addition of 10.9 gigawatts (GW) of new utility-scale solar capacity, marking the second-largest increase in a single year, following only the record-setting 13.5 GW added in 2021. Additionally, the country added a record-breaking 6.4 GW of new small-scale solar capacity in 2022, representing a 17% increase compared to the 5.5 GW added in 2021. Thus, the growth in solar electricity generation is propelling the adoption of generative AI in the energy market.

Key players in generative AI in the energy market are focusing on developing innovative products, such as real-time asset performance management solutions, to optimize energy production, distribution, and consumption processes. Real-time asset performance management involves monitoring, analyzing, and optimizing the performance of assets like machinery, equipment, or infrastructure in real-time or near real-time. For instance, in April 2024, Databricks Inc., a leading US-based global data, analytics, and artificial intelligence company, introduced the data intelligence platform for the energy sector. This unified platform harnesses the power of AI to empower data-driven decision-making in the energy industry. It addresses critical industry challenges through features like real-time asset performance management, renewable energy forecasting, and grid optimization, enabling organizations to enhance energy infrastructure and manage market volatility effectively. The Databricks data intelligence platform operates on a lakehouse architecture, providing an open, unified foundation for data and governance, and is driven by a data intelligence engine designed to understand data uniqueness.

In January 2023, Snowflake Inc., a prominent US-based cloud computing-based data cloud company, acquired Myst AI Inc. in an undisclosed transaction. This acquisition is part of Snowflake's strategy to integrate machine learning capabilities into its data cloud and strengthen its time series forecasting capabilities. Myst AI Inc. specializes in generative AI solutions tailored for the energy sector, contributing to Snowflake's efforts to enhance its offerings in the energy analytics domain.

Major companies operating in the generative AI in energy market are Google LLC, Microsoft Corporation, Engie SA, Enel Green Power S.p.A., Huawei Technologies Co. Ltd, Amazon Web Services Inc, Siemens AG, General Electric Company, Intel Corporation, International Business Machines Corporation, Deloitte Touche Tohmatsu Limited, Cisco Systems Inc, Schneider Electric SE, Honeywell International Inc., Flex Ltd, ABB Ltd, Duke Energy Corporation, Nvidia Corporation, Atos SE, Zen Robotics Ltd, Freshworks Inc., C3 AI inc, Databricks Inc, AppOrchid Inc, Verdigris Technologies, Ecube Labs Co. Ltd, Bidgely Inc

North America was the largest region in the generative AI in energy market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the generative AI in energy market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The generative AI in energy market consists of revenues earned by entities by providing services such as optimizing energy and utility grid management and performance, production capacity, demand patterns, streamlining operations and maintenance, predictive maintenance, energy trading and market analysis, and carbon emissions reduction. The market value includes the value of related goods sold by the service provider or included within the service offering. The generative AI in energy market also includes sales of Internet of Things (IoT) devices, sensors, smart meters, weather stations, voltage sensors, data acquisition systems, energy management systems, edge computing devices, and energy storage systems. Values in this market are 'factory gate' values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

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

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

Generative AI In Energy Global Market Report 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 generative AI in energy market which is experiencing strong growth. The report gives a guide to the trends which will be shaping the market over the next ten years and beyond.

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 COVID-19 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 generative AI in energy? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward? The generative AI in energy market global report from the Business Research Company answers all these questions and many more.

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

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

The 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 Component: Solutions; Services
  • 2) By Application: Demand Forecasting; Renewable Energy Output Forecasting; Grid Management And Optimization; Energy Trading And Pricing; Customer Offerings; Energy Storage Optimization; Other Applications
  • 3) By End User: Energy Transmission; Energy Generation; Energy Distribution; Utilities; Other End Users
  • Companies Mentioned: Google LLC; Microsoft Corporation; Engie SA; Enel Green Power S.p.A.; Huawei Technologies Co. Ltd
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. Generative AI In Energy Market Characteristics

3. Generative AI In Energy Market Trends And Strategies

4. Generative AI In Energy Market - Macro Economic Scenario

  • 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 Generative AI In Energy Market Size and Growth

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

6. Generative AI In Energy Market Segmentation

  • 6.1. Global Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Solutions
  • Services
  • 6.2. Global Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Demand Forecasting
  • Renewable Energy Output Forecasting
  • Grid Management And Optimization
  • Energy Trading And Pricing
  • Customer Offerings
  • Energy Storage Optimization
  • Other Applications
  • 6.3. Global Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • Energy Transmission
  • Energy Generation
  • Energy Distribution
  • Utilities
  • Other End Users

7. Generative AI In Energy Market Regional And Country Analysis

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

8. Asia-Pacific Generative AI In Energy Market

  • 8.1. Asia-Pacific Generative 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 Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.3. Asia-Pacific Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 8.4. Asia-Pacific Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

9. China Generative AI In Energy Market

  • 9.1. China Generative AI In Energy Market Overview
  • 9.2. China Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.3. China Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion
  • 9.4. China Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F,$ Billion

10. India Generative AI In Energy Market

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

11. Japan Generative AI In Energy Market

  • 11.1. Japan Generative AI In Energy Market Overview
  • 11.2. Japan Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.3. Japan Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 11.4. Japan Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

12. Australia Generative AI In Energy Market

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

13. Indonesia Generative AI In Energy Market

  • 13.1. Indonesia Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.2. Indonesia Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 13.3. Indonesia Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

14. South Korea Generative AI In Energy Market

  • 14.1. South Korea Generative AI In Energy Market Overview
  • 14.2. South Korea Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.3. South Korea Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 14.4. South Korea Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

15. Western Europe Generative AI In Energy Market

  • 15.1. Western Europe Generative AI In Energy Market Overview
  • 15.2. Western Europe Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.3. Western Europe Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 15.4. Western Europe Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

16. UK Generative AI In Energy Market

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

17. Germany Generative AI In Energy Market

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

18. France Generative AI In Energy Market

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

19. Italy Generative AI In Energy Market

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

20. Spain Generative AI In Energy Market

  • 20.1. Spain Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.2. Spain Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 20.3. Spain Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

21. Eastern Europe Generative AI In Energy Market

  • 21.1. Eastern Europe Generative AI In Energy Market Overview
  • 21.2. Eastern Europe Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.3. Eastern Europe Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 21.4. Eastern Europe Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

22. Russia Generative AI In Energy Market

  • 22.1. Russia Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.2. Russia Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 22.3. Russia Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

23. North America Generative AI In Energy Market

  • 23.1. North America Generative AI In Energy Market Overview
  • 23.2. North America Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.3. North America Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 23.4. North America Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

24. USA Generative AI In Energy Market

  • 24.1. USA Generative AI In Energy Market Overview
  • 24.2. USA Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.3. USA Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 24.4. USA Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

25. Canada Generative AI In Energy Market

  • 25.1. Canada Generative AI In Energy Market Overview
  • 25.2. Canada Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.3. Canada Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 25.4. Canada Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

26. South America Generative AI In Energy Market

  • 26.1. South America Generative AI In Energy Market Overview
  • 26.2. South America Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.3. South America Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 26.4. South America Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

27. Brazil Generative AI In Energy Market

  • 27.1. Brazil Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.2. Brazil Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 27.3. Brazil Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

28. Middle East Generative AI In Energy Market

  • 28.1. Middle East Generative AI In Energy Market Overview
  • 28.2. Middle East Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.3. Middle East Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 28.4. Middle East Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

29. Africa Generative AI In Energy Market

  • 29.1. Africa Generative AI In Energy Market Overview
  • 29.2. Africa Generative AI In Energy Market, Segmentation By Component, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.3. Africa Generative AI In Energy Market, Segmentation By Application, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion
  • 29.4. Africa Generative AI In Energy Market, Segmentation By End User, Historic and Forecast, 2018-2023, 2023-2028F, 2033F, $ Billion

30. Generative AI In Energy Market Competitive Landscape And Company Profiles

  • 30.1. Generative AI In Energy Market Competitive Landscape
  • 30.2. Generative AI In Energy Market Company Profiles
    • 30.2.1. Google LLC
      • 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. Enel Green Power S.p.A.
      • 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. Huawei Technologies Co. Ltd
      • 30.2.5.1. Overview
      • 30.2.5.2. Products and Services
      • 30.2.5.3. Strategy
      • 30.2.5.4. Financial Performance

31. Generative AI In Energy Market Other Major And Innovative Companies

  • 31.1. Amazon Web Services Inc
  • 31.2. Siemens AG
  • 31.3. General Electric Company
  • 31.4. Intel Corporation
  • 31.5. International Business Machines Corporation
  • 31.6. Deloitte Touche Tohmatsu Limited
  • 31.7. Cisco Systems Inc
  • 31.8. Schneider Electric SE
  • 31.9. Honeywell International Inc.
  • 31.10. Flex Ltd
  • 31.11. ABB Ltd
  • 31.12. Duke Energy Corporation
  • 31.13. Nvidia Corporation
  • 31.14. Atos SE
  • 31.15. Zen Robotics Ltd

32. Global Generative AI In Energy Market Competitive Benchmarking

33. Global Generative AI In Energy Market Competitive Dashboard

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

35. Generative AI In Energy Market Future Outlook and Potential Analysis

  • 35.1 Generative AI In Energy Market In 2028 - Countries Offering Most New Opportunities
  • 35.2 Generative AI In Energy Market In 2028 - Segments Offering Most New Opportunities
  • 35.3 Generative 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