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封面
市場調查報告書
商品編碼
1363996

2023-2030 年能源市場中的全球人工智慧 (AI)

Global Artificial Intelligence (AI) in Energy Market 2023-2030
出版日期: | 出版商: Orion Market Research | 英文 190 Pages | 商品交期: 2-3個工作天內

價格

細分市場前景

全球能源市場人工智慧按組件類型、部署類型、應用程式和最終用戶進行細分。根據組件類型，市場分為解決方案和服務。根據部署類型，市場分為本地部署和雲端部署。根據應用，市場細分為能源傳輸、能源生產、能源分配和其他（公用事業）。此外，根據最終用戶，市場細分為機器人、再生能源管理、需求預測、安全和保障以及其他（基礎設施）。在這些應用中，由於人工智慧在電網即時監控、電力波動預測更加準確以及智慧電網的發展等方面的發展，能源發電細分市場預計將佔據相當大的市場佔有率。產生地熱能源的新策略。

再生能源管理展示全球人工智慧在能源市場的顯著成長

在最終用戶中，再生能源管理細分市場正以相當大的年複合成長率成長，這歸因於擴大採用人工智慧演算法來提高再生能源系統的效率。透過分析來自再生能源、天氣模式和歷史表現的大量資料，人工智慧可以最佳化發電、儲存和配電。短期電力市場的複雜性和風力發電的不可預測性。為了解決這個問題，需要收集、儲存和分析來自各種來源的大量資料。人工智慧解決方案利用高效能、可擴展的資料系統和先進的機器學習演算法，從支援後續決策的資料中提取價值。公司認知到再生能源隨著時間的推移而不是某一時刻對景觀的潛在影響的模式，因此引入了永續能源的解決方案。例如，2022 年9 月，微軟公司、Planet Labs PBC 和大自然保護協會推出了全球再生能源觀察(GRW)，這是首個同類生活地圖集，旨在繪製和測量所有公用事業規模的太陽能和風能裝置使用人工智慧和衛星影像在地球上進行評估，使用戶能夠評估清潔能源轉型進度並追蹤一段時間內的趨勢。

區域展望

全球人工智慧能源市場根據地理位置進一步細分，包括北美（美國和加拿大）、歐洲（英國、義大利、西班牙、德國、法國和歐洲其他地區）、亞太地區（印度、中國） 、日本、韓國和亞洲其他地區）以及世界其他地區（中東和非洲以及拉丁美洲）。其中，北美地區預計將在全球市場中佔據顯著佔有率，因為人工智慧在能源領域的應用增加，以及即時維護和確定理想的維護計劃。

全球人工智慧能源市場預計亞太地區將以顯著的年複合成長率成長

在所有地區中，亞太地區預計在預測期內將以可觀的年複合成長率成長。區域成長歸因於人工智慧使用的增加以及與智慧電網、智慧電錶和物聯網 (IoT) 設備之間通訊相關技術的增加。人工智慧技術提高了電力管理、效率和透明度，並增加了再生能源的使用。在電力產業使用人工智慧可以解決治理、透明度、安保、安全、隱私、就業和經濟影響等挑戰。人工智慧肯定會在減少新興市場的配電損失以及幫助解決維護和可靠性問題方面發揮重要作用。能源產業的轉型或數位化正在推動人工智慧在該地區再生能源市場的成長。人工智慧也被用來建構智慧家庭解決方案。這項因素正在支持人工智慧在亞太再生能源市場的成長。

市場參與者展望

在能源市場提供人工智慧服務的主要公司包括微軟公司、谷歌有限責任公司、亞馬遜網路服務公司、杜克能源公司、通用電氣公司、NextEra Energy公司、英偉達公司和施耐德電氣公司等。市場參與者透過各種策略（包括併購、合作、合作、融資和新產品發布），為市場成長做出了巨大貢獻，以保持市場競爭力。例如，2021年10月，印度綜合電力公司塔塔電力宣布與再生能源人工智慧公司BluWave-ai簽署了為期三年的商業協議。該協議是在一個成功的試驗項目之後達成的，在該項目期間，塔塔電力評估了 BluWave-ai 雲平台的性能，以產生用於其電力調度操作的當日和日前調度。

報告涵蓋：

  • 2022年市場價​​值資料分析及2030年預測。
  • 每個細分市場的年化市場收入（百萬美元）。
  • 主要地理區域的國家分析。
  • 全球人工智慧能源市場的主要營運公司。根據現有資料，報告中還提供了與新產品發布相關的資訊以及相關新聞。
  • 透過確定未來強勁成長的關鍵細分市場來分析業務策略。
  • 市場進入和市場擴張策略分析。
  • 透過識別市場中「誰的立場」來制定競爭策略。

目錄

第 1 章：報告摘要

  • 目前行業分析及成長潛力展望
  • 研究方法和工具
  • 市場區隔
    • 按細分
    • 按地區

第 2 章：市場概述與見解

  • 報告範圍
  • 分析師見解和當前市場趨勢
    • 主要發現
    • 建議
    • 結論

第 3 章：競爭格局

  • 主要公司分析
  • Microsoft Corp.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • Google, LLC
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • Amazon Web Services, Inc.
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • Other
    • 概述
    • 財務分析
    • SWOT分析
    • 最近的發展
  • 關鍵策略分析

第 4 章：市場細分

  • 按組件類型分類的全球能源市場人工智慧
    • 解決方案
    • 服務
  • 按部署類型分類的全球能源市場人工智慧
    • 本地部署
    • 雲
  • 全球人工智慧在能源市場的應用
    • 能量傳輸
    • 能源生產
    • 能源分配
    • 其他（公用事業）
  • 最終用戶在能源市場中的全球人工智慧
    • 機器人技術
    • 再生能源管理
    • 需求預測
    • 安全保障
    • 其他（基礎設施）

第 5 章：區域分析

  • 北美洲
    • 美國
    • 加拿大
  • 歐洲
    • 英國
    • 德國
    • 義大利
    • 西班牙
    • 法國
    • 歐洲其他地區
  • 亞太
    • 中國
    • 印度
    • 日本
    • 韓國
    • 亞太其他地區
  • 世界其他地區
    • 拉丁美洲
    • 中東和非洲

第 6 章：公司簡介

  • AES Corp.
  • Alpiq Holding AG
  • AppOrchid Inc.
  • ATOS SE
  • Baker Hughes Company
  • C3.ai, Inc.
  • Duke Energy Corp.
  • Electricite de France S.A.
  • General Electric
  • Iberdrola SA
  • NextEra Energy, Inc
  • Nvidia Corp.
  • Ogre Artificial Intelligence S.R.LABB Ltd.
  • Origami Energy Ltd.
  • Schneider Electric SE
  • SECO Mind S.p.A.
  • Siemens AG
  • SmartCloud Inc.
  • Stem, Inc.
  • Zen Robotics Ltd.
Product Code: OMR2027723

Title: Global Artificial Intelligence in Energy Market Size, Share & Trends Analysis Report by Component Type (Solutions and Services), by Deployment Type (On-premise and Cloud), by Application (Energy Transmission, Energy Generation, Energy Distribution and Others), and by End Users (Robotics, Renewables Management, Demand Forecasting, Safety and Security and Others),Forecast Period (2023-2030).

Global artificial intelligence in energy market is anticipated to grow at a CAGR of 14.5% during the forecast period (2023-2030). Artificial intelligence holds considerable potential to improve power generation, transmission, distribution, and consumption. The energy sector in both emerging markets and advanced economies continues to increase efficiency, transparency, affordability, and the integration of renewable energy sources in power systems. Various company has launched innovating products by leveraging AI to autonomously analyze and predict network traffic patterns enabling operators to adjust resources to required capacity and performance, resulting in considerable power usage reductions. For instance, in June 2023, NEC Corp. launched a new windowAspire NetZero is an AI-enabled SaaS-based intelligent standalone energy reduction solution, designed to support mobile network operators in reducing unnecessary energy consumption in the Radio Access Network (RAN).

Segmental Outlook

The global artificial intelligence in energy market is segmented on the component type, deployment type, application, and end-users. Based on the component type, the market is sub-segmented into solutions and services. Based on the deployment type, the market is sub-segmented into on-premise and cloud. Based on the application, the market is sub-segmented into energy transmission, energy generation, energy distribution, and others (utilities). Further, based on end users, the market is sub-segmented into robotics, renewables management, demand forecasting, safety and security, and others (infrastructure). Among the applications, the energy generation sub-segment is anticipated to hold a considerable share of the market owing to the rise in the development of AI for the real-time monitoring of power grids, more accurate predictions of power fluctuations, and the development of new strategies to generate geothermal energy sources.

The Renewables Management to Showcase Significant Growth in Global Artificial Intelligence in Energy Market

Among the end-users, the renewables management sub-segment is growing at a considerable CAGR attributed to the growing adoption of AI algorithms that improving efficiency of renewable energy systems. By analyzing vast amounts of data from renewable energy sources, weather patterns, and historical performance, AI can optimize power generation, storage, and distribution. The complexity of the short-term power markets and the unpredictable nature of wind production. To tackle this problem, vast amounts of data from various sources need to be collected, stored, and analyzed. The AI solution leverages a performant and scalable data system and advanced machine learning algorithms to extract value from the data that supports subsequent decisions. Companies recognize patterns about the potential impact of renewable energy sitting on the landscape over time rather than as a moment in time and hence introducing solutions for sustainable energy. For instance, in September 2022, Microsoft Corp., Planet Labs PBC and The Nature Conservancy launched the Global Renewables Watch (GRW), a first-of-its-kind living atlas intended to map and measure all utility-scale solar and wind installations on Earth using AI and satellite imagery, allowing users to evaluate clean energy transition progress and track trends over time.

Regional Outlook

The global artificial intelligence in energy market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America. Among these, North America is anticipated to hold a prominent share of the market across the globe, owing to increased applications of artificial intelligence in the energy sector, along with real-time maintenance and identification of ideal maintenance schedules.

The Asia-Pacific Region is Expected to Grow at a Significant CAGR in the Global Artificial Intelligence in Energy Market

Among all regions, the Asia-Pacific region is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to the increase in the use of artificial intelligence and related to technologies that allow for communication between smart grids, smart meters, and Internet of Things (IoT) devices. AI technologies improve power management, efficiency, and transparency, and increase the use of renewable energy sources. Using AI in power sector addresses challenges such as governance, transparency, security, safety, privacy, employment, and economic impacts. AI is certain to play an important role in reducing distribution losses in emerging markets and in helping with maintenance and reliability issues. The transformation or digitalization of the energy sector is promoting the growth of AI in the renewable energy market in the region. Artificial intelligence is also being used to build smart home solutions. This factor is supporting the growth of AI in the Asia-Pacific renewable energy market.

Market Players Outlook

The major companies serving artificial intelligence in energy market include Microsoft Corp., Google, LLC, Amazon Web Services, Inc., Duke Energy Corp., General Electric, NextEra Energy, Inc, Nvidia Corp., and Schneider Electric SE, among other. The market players are considerably contributing to the market growth by the adoption of various strategies including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market. For instance, in October 2021, Tata Power, India's integrated power utility, announced that it had signed a three-year commercial agreement with BluWave-ai, the renewable energy AI company. This agreement comes after a successful trial project during which Tata Power evaluated the performance of the BluWave-ai cloud platform to generate intra-day and day-ahead dispatches for use in its power scheduling operations.

The Report Covers:

  • Market value data analysis of 2022 and forecast to 2030.
  • Annualized market revenues ($ million) for each market segment.
  • Country-wise analysis of major geographical regions.
  • Key companies operating in the global artificial intelligence in energy market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
  • Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
  • Analysis of market-entry and market expansion strategies.
  • Competitive strategies by identifying 'who-stands-where' in the market.

Table of Contents

1. Report Summary

  • Current Industry Analysis and Growth Potential Outlook
  • 1.1. Research Methods and Tools
  • 1.2. Market Breakdown
    • 1.2.1. By Segments
    • 1.2.2. By Region

2. Market Overview and Insights

  • 2.1. Scope of the Report
  • 2.2. Analyst Insight & Current Market Trends
    • 2.2.1. Key Findings
    • 2.2.2. Recommendations
    • 2.2.3. Conclusion

3. Competitive Landscape

  • 3.1. Key Company Analysis
  • 3.2. Microsoft Corp.
    • 3.2.1. Overview
    • 3.2.2. Financial Analysis
    • 3.2.3. SWOT Analysis
    • 3.2.4. Recent Developments
  • 3.3. Google, LLC
    • 3.3.1. Overview
    • 3.3.2. Financial Analysis
    • 3.3.3. SWOT Analysis
    • 3.3.4. Recent Developments
  • 3.4. Amazon Web Services, Inc.
    • 3.4.1. Overview
    • 3.4.2. Financial Analysis
    • 3.4.3. SWOT Analysis
    • 3.4.4. Recent Developments
  • 3.5. Other
    • 3.5.1. Overview
    • 3.5.2. Financial Analysis
    • 3.5.3. SWOT Analysis
    • 3.5.4. Recent Developments
  • 3.6. Key Strategy Analysis

4. Market Segmentation

  • 4.1. Global Artificial Intelligence in Energy Market by Component Type
    • 4.1.1. Solutions
    • 4.1.2. Services
  • 4.2. Global Artificial Intelligence in Energy Market by Deployment Type
    • 4.2.1. On-Premise
    • 4.2.2. Cloud
  • 4.3. Global Artificial Intelligence in Energy Market by Application
    • 4.3.1. Energy Transmission
    • 4.3.2. Energy Generation
    • 4.3.3. Energy Distribution
    • 4.3.4. Others (Utilities)
  • 4.4. Global Artificial Intelligence in Energy Market by End-Users
    • 4.4.1. Robotics
    • 4.4.2. Renewables Management
    • 4.4.3. Demand Forecasting
    • 4.4.4. Safety and Security
    • 4.4.5. Others (Infrastructure)

5. Regional Analysis

  • 5.1. North America
    • 5.1.1. United States
    • 5.1.2. Canada
  • 5.2. Europe
    • 5.2.1. UK
    • 5.2.2. Germany
    • 5.2.3. Italy
    • 5.2.4. Spain
    • 5.2.5. France
    • 5.2.6. Rest of Europe
  • 5.3. Asia-Pacific
    • 5.3.1. China
    • 5.3.2. India
    • 5.3.3. Japan
    • 5.3.4. South Korea
    • 5.3.5. Rest of Asia-Pacific
  • 5.4. Rest of the World
    • 5.4.1. Latin America
    • 5.4.2. Middle East and Africa

6. Company Profiles

  • 6.1. AES Corp.
  • 6.2. Alpiq Holding AG
  • 6.3. AppOrchid Inc.
  • 6.4. ATOS SE
  • 6.5. Baker Hughes Company
  • 6.6. C3.ai, Inc.
  • 6.7. Duke Energy Corp.
  • 6.8. Electricite de France S.A.
  • 6.9. General Electric
  • 6.10. Iberdrola SA
  • 6.11. NextEra Energy, Inc
  • 6.12. Nvidia Corp.
  • 6.13. Ogre Artificial Intelligence S.R.LABB Ltd.
  • 6.14. Origami Energy Ltd.
  • 6.15. Schneider Electric SE
  • 6.16. SECO Mind S.p.A.
  • 6.17. Siemens AG
  • 6.18. SmartCloud Inc.
  • 6.19. Stem, Inc.
  • 6.20. Zen Robotics Ltd.

LIST OF TABLES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COMPONENT TYPE, 2022-2030 ($ MILLION)
  • 2. GLOBAL ARTIFICIAL INTELLIGENCE SOLUTION IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 3. GLOBAL ARTIFICIAL INTELLIGENCE SERVICES IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT TYPE, 2022-2030 ($ MILLION)
  • 5. GLOBAL ON-PREMISE ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 6. GLOBAL CLOUD ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 7. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 8. GLOBAL ARTIFICIAL INTELLIGENCE FOR ENERGY TRANSMISSION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 9. GLOBAL ARTIFICIAL INTELLIGENCE FOR ENERGY GENERATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 10. GLOBAL ARTIFICIAL INTELLIGENCE FOR ENERGY DISTRIBUTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 11. GLOBAL ARTIFICIAL INTELLIGENCE FOR OTHERS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 12. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY END-USERS, 2022-2030 ($ MILLION)
  • 13. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY FOR ROBOTICS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 14. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLES MANAGEMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 15. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY DEMAND FORECASTING MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 16. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY SAFETY AND SECURITY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 17. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY FOR OTHERS MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 18. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022-2030 ($ MILLION)
  • 19. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 20. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COMPONENT TYPE, 2022-2030 ($ MILLION)
  • 21. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT TYPE, 2022-2030 ($ MILLION)
  • 22. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 23. NORTH AMERICAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY END-USERS, 2022-2030 ($ MILLION)
  • 24. EUROPEAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 25. EUROPEAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COMPONENT TYPE, 2022-2030 ($ MILLION)
  • 26. EUROPEAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT TYPE, 2022-2030 ($ MILLION)
  • 27. EUROPEAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 28. EUROPEAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY END-USERS, 2022-2030 ($ MILLION)
  • 29. ASIA- PACIFIC ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 30. ASIA- PACIFIC ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COMPONENT TYPE, 2022-2030 ($ MILLION)
  • 31. ASIA- PACIFIC ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT TYPE, 2022-2030 ($ MILLION)
  • 32. ASIA- PACIFIC ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 33. ASIA- PACIFIC ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY END-USERS, 2022-2030 ($ MILLION)
  • 34. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COUNTRY, 2022-2030 ($ MILLION)
  • 35. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COMPONENT TYPE, 2022-2030 ($ MILLION)
  • 36. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT TYPE, 2022-2030 ($ MILLION)
  • 37. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022-2030 ($ MILLION)
  • 38. REST OF THE WORLD ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY END-USERS, 2022-2030 ($ MILLION)

LIST OF FIGURES

  • 1. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY COMPONENT TYPE, 2022 VS 2030 (%)
  • 2. GLOBAL ARTIFICIAL INTELLIGENCE SOLUTION IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 3. GLOBAL ARTIFICIAL INTELLIGENCE SERVICES IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 4. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY DEPLOYMENT TYPE, 2022 VS 2030 (%)
  • 5. GLOBAL ON-PREMISE ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 6. GLOBAL CLOUD ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 7. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY APPLICATION, 2022 VS 2030 (%)
  • 8. GLOBAL ARTIFICIAL INTELLIGENCE FOR ENERGY TRANSMISSION MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 9. GLOBAL ARTIFICIAL INTELLIGENCE FOR ENERGY GENERATION MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 10. GLOBAL ARTIFICIAL INTELLIGENCE FOR ENERGY DISTRIBUTION MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 11. GLOBAL ARTIFICIAL INTELLIGENCE FOR OTHERS MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 12. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY END-USERS, 2022 VS 2030 (%)
  • 13. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY FOR ROBOTICS MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 14. GLOBAL ARTIFICIAL INTELLIGENCE IN RENEWABLES MANAGEMENT MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 15. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY DEMAND FORECASTING MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 16. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY SAFETY AND SECURITY MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 17. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY FOR OTHERS MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 18. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET RESEARCH AND ANALYSIS BY REGION, 2022 VS 2030 (%)
  • 19. GLOBAL ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SHARE BY REGION, 2022 VS 2030 (%)
  • 20. US ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 21. CANADA ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 22. UK ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 23. FRANCE ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 24. GERMANY ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 25. ITALY ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 26. SPAIN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 27. REST OF EUROPE ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 28. INDIA ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 29. CHINA ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 30. JAPAN ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 31. SOUTH KOREA ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 32. REST OF ASIA-PACIFIC ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 33. LATIN AMERICA ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)
  • 34. MIDDLE EAST AND AFRICA ARTIFICIAL INTELLIGENCE IN ENERGY MARKET SIZE, 2022-2030 ($ MILLION)