查看购物车
  • Traditional Chinese
  • English
  • Japanese
封面
市场调查报告书
商品编码
1888064

2025年全球能源和公共产业应用人工智慧（AI）市场报告

Applied Artificial Intelligence (AI) In Energy And Utilities Global Market Report 2025
出版日期: | 出版商: The Business Research Company | 英文 250 Pages | 商品交期: 2-10个工作天内

价格
简介目录

近年来，人工智慧（AI）在能源和公共产业市场的应用发展迅速，预计将从2024年的31.7亿美元成长到2025年的38亿美元，复合年增长率（CAGR）为19.7%。过去几年的成长可归因于智慧电网技术的日益普及、对能源效率需求的不断增长、再生能源来源的日益广泛、公共产业领域对预测性维护的需求不断增长以及能源基础设施数位转型投资的增加。

预计未来几年，能源和公共产业领域应用人工智慧（AI）的市场规模将快速成长，到2029年将达到77亿美元，复合年增长率（CAGR）为19.3%。预测期内的成长可能主要受以下因素驱动：公共产业领域对基于人工智慧的分析技术的日益普及、对营运效率的日益关注、智慧电錶和感测器的广泛部署、再生能源来源併网程度的提高以及电网现代化投资的增加。预测期内的关键趋势包括：自主电网管理技术的进步、人工智慧驱动的能源预测工具的开发、公共产业数位双胞胎技术的创新、人工智慧可再生能源併网系统的进步以及用于实时能源优化的边缘人工智慧的兴起。

电力需求的成长预计将推动应用人工智慧（AI）在能源和公共产业领域的市场发展。电力需求的成长主要源自于工业化、都市化以及各产业的电气化等因素。随着产业扩张，支持机械设备、生产流程和整体营运的电力需求不断增长，导致能源消费量增加。应用人工智慧在能源和公共产业领域能够透过预测消费趋势、提高电网效率和实现更智慧的能源分配，帮助管理和优化电力需求。例如，美国能源资讯署（EIA）预测，到2026年，美国电力消耗量的年均成长率将达到1.7%，其中商业和工业部门的成长率预计分别为2.6%和2.1%，而住宅用电需求的成长率相对较低，为0.7%。因此，电力需求的成长是推动人工智慧在能源和公共产业领域应用扩张的主要动力。

应用人工智慧能源和公共产业市场的企业正致力于开发能够提升电网效率、韧性和扩充性的解决方案，使公共产业能够快速扩展容量并更有效地管理分散式能源。借助分散式人工智慧驱动的能源系统，公共产业可以优化电力分配并确保可靠的能源供应。例如，西门子公司于2024年2月发布了Gridscale X，这是一款支援电网自主运作的新一代电网管理套件。该人工智慧驱动平台具备即时分析、预测性维护数位双胞胎整合等功能，使电力公司能够自动检测故障并优化能量流，从而建立更智慧、更永续的能源网路。

目录

第一章执行摘要

第二章 市场特征

第三章 市场趋势与策略

第四章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税，以及新冠疫情及其復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球应用人工智慧（AI）在能源和公共产业领域的应用：PESTEL 分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 终端用户产业分析
  • 全球能源和公共产业领域应用人工智慧（AI）市场：成长率分析
  • 全球应用人工智慧（AI）市场在能源和公共产业领域的表现：规模和成长，2019-2024年
  • 全球能源和公共产业领域应用人工智慧（AI）市场：规模和成长，2024-2029年，2034年预测
  • 全球能源和公共产业领域应用人工智慧 (AI)：潜在市场规模 (TAM)

第六章 市场细分

  • 全球能源和公共产业领域应用人工智慧（AI）市场按类型、性能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 预测分析
  • 资产最佳化
  • 网格管理
  • 客户参与
  • 能源交易
  • 可再生能源併网
  • 全球能源和公共产业领域应用人工智慧（AI）市场：按部署、性能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 云端基础的
  • 本地部署
  • 全球能源和公共产业领域应用人工智慧（AI）市场：按应用、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 机器人技术
  • 可再生能源管理
  • 需求预测
  • 基于人工智慧的库存管理
  • 能源生产与调度
  • 资产追踪和维护
  • 数位双胞胎
  • 基于人工智慧的网路安全
  • 排放追踪
  • 物流网路优化
  • 全球能源和公共产业领域应用人工智慧（AI）市场：按最终用户、效能和预测划分，2019-2024年、2024-2029年预测、2034年预测
  • 电力业务
  • 石油和天然气
  • 可再生能源公司
  • 工业能源用户
  • 能源服务供应商
  • 全球能源和公共产业领域应用人工智慧（AI）市场：细分、预测分析、按类型、效能和预测（2019-2024年、2024-2029年预测、2034年预测）
  • 负荷预测
  • 设备故障预测
  • 预测性维护
  • 需求预测
  • 全球能源和公共产业领域应用人工智慧（AI）市场：按资产最佳化、类型、实际值和预测值细分，2019-2024年、2024-2029年预测值、2034年预测值
  • 资产健康监测
  • 绩效分析
  • 生命週期管理
  • 基于状态的维护
  • 全球能源和公共产业领域应用人工智慧（AI）市场：按电网管理、类型、性能和预测进行细分，2019-2024年、2024-2029年预测、2034年预测
  • 智慧电网自动化
  • 故障检测与恢復
  • 电压和频率控制
  • 能量流优化
  • 全球能源和公共产业领域应用人工智慧 (AI) 市场：客户参与、类型、实际值和预测值细分，2019-2024 年、2024-2029 年预测值、2034 年预测值
  • 智慧收费和定价分析
  • 能源使用分析
  • 个人化能源建议
  • 客户服务自动化
  • 全球能源及公共产业领域应用人工智慧（AI）市场：依能源交易类型细分、绩效及预测（2019-2024年、2024-2029年预测、2034年预测）。
  • 价格预测
  • 市场风险分析
  • 自动交易演算法
  • 投资组合最佳化
  • 全球能源和公共产业领域应用人工智慧（AI）市场：按可再生能源併网（按类型）细分，实际结果和预测，2019-2024年、2024-2029年预测、2034年预测
  • 可再生能源发电预测
  • 分散式能源资源（DER）管理
  • 储能优化
  • 併网平衡和稳定控制

第七章 区域和国家分析

  • 全球能源与公共产业领域应用人工智慧（AI）市场：区域分析、表现及预测（2019-2024年、2024-2029年预测、2034年预测）
  • 全球能源与公共产业领域应用人工智慧（AI）市场：国家、绩效与预测，2019-2024年、2024-2029年预测、2034年预测

第八章 亚太市场

第九章：中国市场

第十章 印度市场

第十一章 日本市场

第十二章：澳洲市场

第十三章 印尼市场

第十四章 韩国市场

第十五章 西欧市场

第十六章英国市场

第十七章：德国市场

第十八章：法国市场

第十九章：义大利市场

第二十章：西班牙市场

第21章 东欧市场

第22章 俄罗斯市场

第23章 北美市场

第24章美国市场

第25章：加拿大市场

第26章 南美洲市场

第27章：巴西市场

第28章 中东市场

第29章：非洲市场

第三十章：竞争格局与公司概况

  • 人工智慧在能源和公共产业领域的应用：竞争格局
  • 能源和公共产业领域应用人工智慧（AI）市场：公司概况
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • E.ON SE Overview, Products and Services, Strategy and Financial Analysis
    • Enel SpA Overview, Products and Services, Strategy and Financial Analysis
    • Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • Accenture plc
  • IBM Corporation
  • Iberdrola SA
  • Oracle Corporation
  • Schneider Electric SE
  • Honeywell International Inc.
  • SAP SE
  • ABB Ltd
  • NVIDIA Corporation
  • Capgemini SE
  • Infosys Ltd.
  • Wipro Ltd.
  • Palantir Technologies Inc.
  • Teradata Corporation
  • C3.ai Inc.

第32章 全球市场竞争基准化分析与仪錶板

第33章 重大併购

第34章 近期市场趋势

第35章：高潜力市场国家、细分市场与策略

  • 2029年能源与公共产业领域人工智慧（AI）应用：一个充满新机会的国家
  • 2029年能源与公共产业领域人工智慧（AI）应用：充满新机会的细分市场
  • 2029年能源与公共产业领域人工智慧（AI）应用：成长策略
    • 基于市场趋势的策略
    • 竞争对手策略

第36章附录

简介目录
Product Code: r39439

Applied artificial intelligence (AI) in the energy and utilities sector refers to the implementation of AI technologies to optimize the production, distribution, and consumption of energy. Its primary goal is to boost efficiency, lower operational expenses, enhance grid reliability, and support the integration of renewable energy sources.

The main types of applied artificial intelligence (AI) in energy and utilities include predictive analytics, asset optimization, grid management, customer engagement, energy trading, and renewable integration. Applied artificial intelligence (AI) in energy and utilities predictive analytics involves the use of advanced AI algorithms and machine learning models to examine large volumes of real-time and historical energy data to forecast future events, trends, or potential failures across power systems and utility operations. It is deployed through cloud-based and on-premises modes for applications such as robotics, renewable energy management, demand forecasting, AI-driven inventory management, energy production and scheduling, asset tracking and maintenance, digital twins, AI-based cybersecurity, emission monitoring, and logistics network operations. The major end users include electric utilities, oil and gas companies, renewable energy firms, industrial energy consumers, and energy service providers.

Note that the outlook for this market is being affected by rapid changes in trade relations and tariffs globally. The report will be updated prior to delivery to reflect the latest status, including revised forecasts and quantified impact analysis. The report's Recommendations and Conclusions sections will be updated to give strategies for entities dealing with the fast-moving international environment.

The rapid escalation of U.S. tariffs and the resulting trade tensions in spring 2025 are significantly impacting the utilities sector, particularly in power generation, grid infrastructure, and renewable energy projects. Higher duties on imported equipment such as turbines, transformers, solar panels, and battery storage systems have increased capital and operational costs for utility providers, forcing them to reconsider project timelines or pass on expenses to consumers through higher energy rates. The water and waste management segments are also affected, with tariffs driving up the cost of essential machinery, piping, and treatment technologies. Additionally, retaliatory tariffs have disrupted global supply chains for critical raw materials like rare earth metals used in clean energy technologies, further complicating the transition to sustainable energy sources. The sector must now prioritize domestic sourcing, digitalization, and efficiency-driven innovations to manage escalating costs while ensuring energy security and regulatory compliance.

The applied artificial intelligence (AI) in energy and utilities market research report is one of a series of new reports from The Business Research Company that provides applied artificial intelligence (AI) in energy and utilities market statistics, including applied artificial intelligence (AI) in energy and utilities industry global market size, regional shares, competitors with a applied artificial intelligence (AI) in energy and utilities market share, detailed applied artificial intelligence (AI) in energy and utilities market segments, market trends and opportunities, and any further data you may need to thrive in the applied artificial intelligence (AI) in energy and utilities industry. This applied artificial intelligence (AI) in energy and utilities 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 applied artificial intelligence (AI) in the energy and utilities market size has grown rapidly in recent years. It will grow from $3.17 billion in 2024 to $3.80 billion in 2025 at a compound annual growth rate (CAGR) of 19.7%. The growth in the historic period can be linked to the increasing adoption of smart grid technologies, growing demand for energy efficiency, rising integration of renewable energy sources, expanding need for predictive maintenance in utilities, and increasing investment in the digital transformation of energy infrastructure.

The applied artificial intelligence (AI) in the energy and utilities market size is expected to see rapid growth in the next few years. It will grow to $7.70 billion in 2029 at a compound annual growth rate (CAGR) of 19.3%. The growth in the forecast period can be driven by the rising adoption of AI-based analytics in utilities, a stronger focus on operational efficiency, wider deployment of smart meters and sensors, increasing integration of renewable energy sources, and greater investment in grid modernization. Major trends in the forecast period include advancements in autonomous grid management, the development of AI-powered energy forecasting tools, innovation in digital twin technology for utilities, progress in AI-enabled renewable integration systems, and the emergence of edge AI for real-time energy optimization.

The increasing demand for electricity is expected to drive the growth of the applied artificial intelligence (AI) market in the energy and utilities sector. This rise in electricity demand is largely attributed to factors such as industrialization, urbanization, and the electrification of various sectors. As industries expand, their need for power to support machinery, production processes, and overall operations grows, leading to higher energy consumption. Applied AI in energy and utilities helps manage and optimize electricity demand by forecasting consumption trends, enhancing grid efficiency, and enabling smarter energy distribution. For example, the U.S. Energy Information Administration (EIA) projects that electricity consumption in the United States will grow at an average annual rate of 1.7%, with the commercial sector increasing by 2.6% and the industrial sector rising by 2.1%, while residential demand is expected to grow more modestly at 0.7% in 2026. As a result, the growing demand for electricity is a significant driver of the expansion of AI applications in the energy and utilities market.

Companies in the applied AI energy and utilities market are focusing on developing solutions that improve grid efficiency, resilience, and scalability, allowing utilities to rapidly expand capacity and better manage distributed energy resources. By leveraging decentralized, AI-powered energy systems, utilities can optimize power distribution and ensure reliable energy delivery. For example, in February 2024, Siemens AG launched Gridscale X, a next-generation grid management suite designed to support autonomous grid operations. This AI-driven platform features real-time analytics, predictive maintenance, and digital twin integration, enabling utilities to detect faults automatically and optimize energy flow, ultimately building smarter and more sustainable energy networks.

In March 2025, Siemens AG acquired Altair Engineering Inc. to enhance its AI-driven solutions for the energy and utilities sector. This acquisition allows Siemens to integrate Altair's advanced simulation, high-performance computing, and AI-driven data science capabilities into its Xcelerator digital platform. Altair Engineering, a U.S.-based company, specializes in applied AI solutions for the energy and utilities industries, further strengthening Siemens' leadership in industrial software and AI-powered design and simulation.

Major players in the applied artificial intelligence (AI) in energy and utilities market are Microsoft Corporation, E.ON SE, Enel S.p.A., Siemens AG, Hitachi Ltd., Accenture plc, IBM Corporation, Iberdrola S.A., Oracle Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd, NVIDIA Corporation, Capgemini SE, Infosys Ltd., Wipro Ltd., Palantir Technologies Inc., Teradata Corporation, C3.ai Inc., Stem Inc., AutoGrid Systems Inc., Bidgely Inc., and Verdigris Technologies Inc.

North America was the largest region in the applied artificial intelligence (AI) in the energy and utilities market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in applied artificial intelligence (AI) in energy and utilities report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.

The countries covered in the applied artificial intelligence (AI) in energy and utilities market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

The applied artificial intelligence (AI) in the energy and utilities market consists of revenues earned by entities by providing services such as predictive maintenance of energy infrastructure, smart grid optimization, demand response management, and energy consumption forecasting. The market value includes the value of related goods sold by the service provider or included within the service offering. The applied artificial intelligence (AI) in the energy and utilities market also consists of sales of products including AI-powered energy management systems, smart sensors, intelligent grid controllers, predictive analytics software, and automated monitoring platforms. 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.

Applied Artificial Intelligence (AI) In Energy And Utilities Global Market Report 2025 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 applied artificial intelligence (ai) in energy and utilities 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 15 geographies.
  • Assess the impact of key macro factors such as geopolitical conflicts, trade policies and tariffs, post-pandemic supply chain realignment, inflation and interest rate fluctuations, and evolving regulatory landscapes.
  • 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 2-3 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 applied artificial intelligence (ai) in energy and utilities ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The applied artificial intelligence (ai) in energy and utilities 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 forecasts are made after considering the major factors currently impacting the market. These include the technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.

  • 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.
  • 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 Type: Predictive Analytics; Asset Optimization; Grid Management; Customer Engagement; Energy Trading; Renewable Integration
  • 2) By Deployment: Cloud-Based; On-Premises
  • 3) By Application: Robotics; Renewables Management; Demand Forecasting; AI-Based Inventory Management; Energy Production And Scheduling; Asset Tracking And Maintenance; Digital Twins; AI-Based Cybersecurity; Emission Tracking; Logistics Network Operation
  • 4) By End-User: Electric Utilities; Oil And Gas; Renewable Energy Companies; Industrial Energy Users; Energy Service Providers
  • Subsegments:
  • 1) By Predictive Analytics: Load Forecasting; Equipment Failure Prediction; Predictive Maintenance; Demand Forecasting
  • 2) By Asset Optimization: Asset Health Monitoring; Performance Analytics; Lifecycle Management; Condition-Based Maintenance
  • 3) By Grid Management: Smart Grid Automation; Fault Detection And Restoration; Voltage And Frequency Control; Energy Flow Optimization
  • 4) By Customer Engagement: Smart Billing And Pricing Analytics; Energy Usage Insights; Personalized Energy Recommendations; Customer Service Automation
  • 5) By Energy Trading: Price Forecasting; Market Risk Analysis; Automated Trading Algorithms; Portfolio Optimization
  • 6) By Renewable Integration: Renewable Generation Forecasting; Distributed Energy Resource (DER) Management; Energy Storage Optimization; Grid Balancing And Stability Control
  • Companies Mentioned: Microsoft Corporation; E.ON SE; Enel S.p.A.; Siemens AG; Hitachi Ltd.; Accenture plc; IBM Corporation; Iberdrola S.A.; Oracle Corporation; Schneider Electric SE; Honeywell International Inc.; SAP SE; ABB Ltd; NVIDIA Corporation; Capgemini SE; Infosys Ltd.; Wipro Ltd.; Palantir Technologies Inc.; Teradata Corporation; C3.ai Inc.; Stem Inc.; AutoGrid Systems Inc.; Bidgely Inc.; Verdigris Technologies Inc.
  • 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. Applied Artificial Intelligence (AI) In Energy And Utilities Market Characteristics

3. Applied Artificial Intelligence (AI) In Energy And Utilities Market Trends And Strategies

4. Applied Artificial Intelligence (AI) In Energy And Utilities Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, And Covid And Recovery On The Market

  • 4.1. Supply Chain Impact from Tariff War & Trade Protectionism

5. Global Applied Artificial Intelligence (AI) In Energy And Utilities Growth Analysis And Strategic Analysis Framework

  • 5.1. Global Applied Artificial Intelligence (AI) In Energy And Utilities PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 5.2. Analysis Of End Use Industries
  • 5.3. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market Growth Rate Analysis
  • 5.4. Global Applied Artificial Intelligence (AI) In Energy And Utilities Historic Market Size and Growth, 2019 - 2024, Value ($ Billion)
  • 5.5. Global Applied Artificial Intelligence (AI) In Energy And Utilities Forecast Market Size and Growth, 2024 - 2029, 2034F, Value ($ Billion)
  • 5.6. Global Applied Artificial Intelligence (AI) In Energy And Utilities Total Addressable Market (TAM)

6. Applied Artificial Intelligence (AI) In Energy And Utilities Market Segmentation

  • 6.1. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Predictive Analytics
  • Asset Optimization
  • Grid Management
  • Customer Engagement
  • Energy Trading
  • Renewable Integration
  • 6.2. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Cloud-Based
  • On-Premises
  • 6.3. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Robotics
  • Renewables Management
  • Demand Forecasting
  • AI-Based Inventory Management
  • Energy Production And Scheduling
  • Asset Tracking And Maintenance
  • Digital Twins
  • AI-Based Cybersecurity
  • Emission Tracking
  • Logistics Network Optimizations
  • 6.4. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By End-User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Electric Utilities
  • Oil And Gas
  • Renewable Energy Companies
  • Industrial Energy Users
  • Energy Service Providers
  • 6.5. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Predictive Analytics, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Load Forecasting
  • Equipment Failure Prediction
  • Predictive Maintenance
  • Demand Forecasting
  • 6.6. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Asset Optimization, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Asset Health Monitoring
  • Performance Analytics
  • Lifecycle Management
  • Condition-Based Maintenance
  • 6.7. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Grid Management, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Smart Grid Automation
  • Fault Detection And Restoration
  • Voltage And Frequency Control
  • Energy Flow Optimization
  • 6.8. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Customer Engagement, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Smart Billing And Pricing Analytics
  • Energy Usage Insights
  • Personalized Energy Recommendations
  • Customer Service Automation
  • 6.9. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Energy Trading, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Price Forecasting
  • Market Risk Analysis
  • Automated Trading Algorithms
  • Portfolio Optimization
  • 6.10. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Sub-Segmentation Of Renewable Integration, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Renewable Generation Forecasting
  • Distributed Energy Resource (DER) Management
  • Energy Storage Optimization
  • Grid Balancing And Stability Control

7. Applied Artificial Intelligence (AI) In Energy And Utilities Market Regional And Country Analysis

  • 7.1. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 8.1. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 8.2. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 9.1. China Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 9.2. China Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 10.1. India Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 11.1. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 11.2. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 12.1. Australia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 13.1. Indonesia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 14.1. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 14.2. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 15.1. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 15.2. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 16.1. UK Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 17.1. Germany Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 18.1. France Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 19.1. Italy Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 20.1. Spain Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 21.1. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 21.2. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 22.1. Russia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 23.1. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 23.2. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 24.1. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 24.2. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 25.1. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 25.2. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 26.1. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 26.2. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 27.1. Brazil Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 28.1. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 28.2. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market

  • 29.1. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market Overview
  • 29.2. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa Applied Artificial Intelligence (AI) In Energy And Utilities Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. Applied Artificial Intelligence (AI) In Energy And Utilities Market Competitive Landscape And Company Profiles

  • 30.1. Applied Artificial Intelligence (AI) In Energy And Utilities Market Competitive Landscape
  • 30.2. Applied Artificial Intelligence (AI) In Energy And Utilities Market Company Profiles
    • 30.2.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. E.ON SE Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Enel S.p.A. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Hitachi Ltd. Overview, Products and Services, Strategy and Financial Analysis

31. Applied Artificial Intelligence (AI) In Energy And Utilities Market Other Major And Innovative Companies

  • 31.1. Accenture plc
  • 31.2. IBM Corporation
  • 31.3. Iberdrola S.A.
  • 31.4. Oracle Corporation
  • 31.5. Schneider Electric SE
  • 31.6. Honeywell International Inc.
  • 31.7. SAP SE
  • 31.8. ABB Ltd
  • 31.9. NVIDIA Corporation
  • 31.10. Capgemini SE
  • 31.11. Infosys Ltd.
  • 31.12. Wipro Ltd.
  • 31.13. Palantir Technologies Inc.
  • 31.14. Teradata Corporation
  • 31.15. C3.ai Inc.

32. Global Applied Artificial Intelligence (AI) In Energy And Utilities Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The Applied Artificial Intelligence (AI) In Energy And Utilities Market

34. Recent Developments In The Applied Artificial Intelligence (AI) In Energy And Utilities Market

35. Applied Artificial Intelligence (AI) In Energy And Utilities Market High Potential Countries, Segments and Strategies

  • 35.1 Applied Artificial Intelligence (AI) In Energy And Utilities Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 Applied Artificial Intelligence (AI) In Energy And Utilities Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 Applied Artificial Intelligence (AI) In Energy And Utilities Market In 2029 - 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