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封面
市场调查报告书
商品编码
1363996

2023-2030 年能源市场中的全球人工智慧 (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个工作天内

价格

细分市场前景

全球能源市场人工智慧按组件类型、部署类型、应用程式和最终用户进行细分。根据组件类型，市场分为解决方案和服务。根据部署类型，市场分为本地部署和云端部署。根据应用，市场细分为能源传输、能源生产、能源分配和其他（公用事业）。此外，根据最终用户，市场细分为机器人、再生能源管理、需求预测、安全和保障以及其他（基础设施）。在这些应用中，由于人工智慧在电网即时监控、电力波动预测更加准确以及智慧电网的发展等方面的发展，能源发电细分市场预计将占据相当大的市场份额。产生地热能源的新策略。

再生能源管理展示全球人工智慧在能源市场的显着成长

在最终用户中，再生能源管理细分市场正以相当大的复合年增长率成长，这归因于越来越多地采用人工智慧演算法来提高再生能源系统的效率。透过分析来自再生能源、天气模式和历史表现的大量资料，人工智慧可以优化发电、储存和配电。短期电力市场的复杂性和风力发电的不可预测性。为了解决这个问题，需要收集、储存和分析来自各种来源的大量资料。人工智慧解决方案利用高效能、可扩展的资料系统和先进的机器学习演算法，从支援后续决策的资料中提取价值。公司认识到再生能源随着时间的推移而不是某一时刻对景观的潜在影响的模式，因此引入了可持续能源的解决方案。例如，2022 年9 月，微软公司、Planet Labs PBC 和大自然保护协会推出了全球再生能源观察(GRW)，这是首个同类生活地图集，旨在绘製和测量所有公用事业规模的太阳能和风能装置使用人工智慧和卫星影像在地球上进行评估，使用户能够评估清洁能源转型进度并追踪一段时间内的趋势。

区域展望

全球人工智慧能源市场根据地理位置进一步细分，包括北美（美国和加拿大）、欧洲（英国、义大利、西班牙、德国、法国和欧洲其他地区）、亚太地区（印度、中国） 、日本、韩国和亚洲其他地区）以及世界其他地区（中东和非洲以及拉丁美洲）。其中，北美地区预计将在全球市场中占据显着份额，因为人工智慧在能源领域的应用增加，以及即时维护和确定理想的维护计划。

全球人工智慧能源市场预计亚太地区将以显着的复合年增长率成长

在所有地区中，亚太地区预计在预测期内将以可观的复合年增长率成长。区域成长归因于人工智慧使用的增加以及与智慧电网、智慧电錶和物联网 (IoT) 设备之间通讯相关技术的增加。人工智慧技术提高了电力管理、效率和透明度，并增加了再生能源的使用。在电力产业使用人工智慧可以解决治理、透明度、安保、安全、隐私、就业和经济影响等挑战。人工智慧肯定会在减少新兴市场的配电损失以及帮助解决维护和可靠性问题方面发挥重要作用。能源产业的转型或数位化正在推动人工智慧在该地区再生能源市场的成长。人工智慧也被用来建构智慧家庭解决方案。这项因素正在支持人工智慧在亚太再生能源市场的成长。

市场参与者展望

在能源市场提供人工智慧服务的主要公司包括微软公司、谷歌有限责任公司、亚马逊网路服务公司、杜克能源公司、通用电气公司、NextEra Energy公司、英伟达公司和施耐德电气公司等。市场参与者透过各种策略（包括併购、合作、合作、融资和新产品发布），为市场成长做出了巨大贡献，以保持市场竞争力。例如，2021年10月，印度综合电力公司塔塔电力宣布与再生能源人工智慧公司BluWave-ai签署了为期三年的商业协议。该协议是在一个成功的试验项目之后达成的，在该项目期间，塔塔电力评估了 BluWave-ai 云平台的性能，以产生用于其电力调度操作的当日和日前调度。

报告涵盖：

  • 2022年市场价​​值资料分析及2030年预测。
  • 每个细分市场的年化市场收入（百万美元）。
  • 主要地理区域的国家分析。
  • 全球人工智慧能源市场的主要营运公司。根据现有资料，报告中还提供了与新产品发布相关的资讯以及相关新闻。
  • 透过确定未来强劲成长的关键细分市场来分析业务策略。
  • 市场进入和市场扩张策略分析。
  • 透过识别市场中「谁的立场」来制定竞争策略。

目录

第 1 章：报告摘要

  • 目前行业分析及成长潜力展望
  • 研究方法和工具
  • 市场区隔
    • 按细分
    • 按地区

第 2 章：市场概述与见解

  • 报告范围
  • 分析师见解和当前市场趋势
    • 主要发现
    • 建议
    • 结论

第 3 章：竞争格局

  • 主要公司分析
  • Microsoft Corp.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Google, LLC
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Amazon Web Services, Inc.
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • Other
    • 概述
    • 财务分析
    • SWOT分析
    • 最近的发展
  • 关键策略分析

第 4 章：市场细分

  • 按组件类型分類的全球能源市场人工智慧
    • 解决方案
    • 服务
  • 按部署类型分類的全球能源市场人工智慧
    • 本地部署
    • 云
  • 全球人工智慧在能源市场的应用
    • 能量传输
    • 能源生产
    • 能源分配
    • 其他（公用事业）
  • 最终用户在能源市场中的全球人工智慧
    • 机器人技术
    • 再生能源管理
    • 需求预测
    • 安全保障
    • 其他（基础设施）

第 5 章：区域分析

  • 北美洲
    • 美国
    • 加拿大
  • 欧洲
    • 英国
    • 德国
    • 义大利
    • 西班牙
    • 法国
    • 欧洲其他地区
  • 亚太
    • 中国
    • 印度
    • 日本
    • 韩国
    • 亚太其他地区
  • 世界其他地区
    • 拉丁美洲
    • 中东和非洲

第 6 章：公司简介

  • 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)