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市场调查报告书
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1981219

2026年公共工程领域生成式人工智慧（AI）全球市场报告

Generative Artificial Intelligence (AI) In Utilities Global Market Report 2026
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，公共产业领域生成式人工智慧（AI）的市场规模显着扩张。预计该市场规模将从2025年的14亿美元成长到2026年的19.2亿美元，复合年增长率（CAGR）高达36.6%。过去几年成长要素包括：对可靠电力和供水的需求不断增长、智慧电錶的广泛应用、对可再生能源投资的增加、预测性维护的早期应用以及公共产业分析解决方案的扩展。

未来几年，公共产业领域生成式人工智慧（AI）的市场规模预计将大幅成长。到2030年，该市场规模预计将达到66.2亿美元，复合年增长率（CAGR）高达36.3%。预计在预测期内，这一增长将主要得益于生成式人工智慧演算法的进步、人工智慧与智慧电网和物联网设备的整合、基于云端的公共产业管理平台的普及、可再生能源管理解决方案的扩展以及个性化客户能源服务的成长。预测期内的关键趋势包括公共产业设施的预测性维护、智慧电网优化解决方案、能源消耗预测工具、可再生能源整合平台、客户参与以及个人化能源管理。

再生能源来源的日益普及预计将推动公共产业市场中生成式人工智慧的发展。再生能源来源是指太阳能、风能、水能、地热能和生质能等天然再生资源，可用于发电。扩充性、低成本以及跨区域部署的不断扩大正在加速可再生能源的普及。生成式人工智慧透过提供数据驱动的洞察，优化能源的生产、分配和消费，同时减少对石化燃料的依赖，从而为公用事业公司提供支援。例如，根据总部位于美国的公共产业研究机构世界资源研究所 (WRI) 预测，到 2024 年，新增太阳能发电装置容量预计将达到 39.6 吉瓦，高于 2023 年的 27.4 吉瓦。这将使美国太阳能发电总装置容量达到约 220 吉瓦，供应该国超过 7% 的电力。因此，可再生能源的日益普及正在促进公共产业市场中生成式人工智慧 (AI) 的发展。

在公共产业市场中，主要企业正致力于提供即时洞察，以顺应数据驱动方法的日益普及，例如面向能源行业的整合平台，从而提高营运效率并实现高级数据分析，为决策提供依据。面向能源产业的整合平台是将多种技术结合的整合系统，旨在优化营运、增强数据分析并支援有效决策。例如，总部位于美国的数据和人工智慧公司 Databricks Inc. 于 2024 年 4 月发布了一个数据智慧平台，该平台包含一个配备大规模语言模型 (LLM) 的聊天机器人，用于提供个人化用户支援；基于物联网的预测性维护，用于提高运作和降低成本；透过数位双胞胎、人工智慧和机器学习 (ML)模型进行即时数据处理，用于风力发电机维护；以及电网边缘分析，用于提高电网性能和预防停电。此外，其实时资料撷取平台 (RTDIP) 提供了一个云端原生框架，用于资料标准化和预测分析。

目录

第一章执行摘要

第二章 市场特征

  • 市场定义和范围
  • 市场区隔
  • 主要产品和服务概述
  • 全球生成式人工智慧（AI）驱动的公共工程市场：吸引力评分与分析
  • 成长潜力分析、竞争评估、策略适宜性评估、风险状况评估

第三章 市场供应链分析

  • 供应链与生态系概述
  • 清单：主要原料、资源和供应商
  • 主要经销商和通路合作伙伴名单
  • 主要最终用户列表

第四章：全球市场趋势与策略

  • 关键科技与未来趋势
    • 人工智慧（AI）和自主人工智慧
    • 永续性、气候技术、循环经济
    • 数位化、云端运算、巨量资料、网路安全
    • 物联网、智慧基础设施、互联生态系统
    • 工业4.0和智慧製造
  • 主要趋势
    • 公共产业设施的预测性维护
    • 智慧电网优化解决方案
    • 能源消耗预测工具
    • 可再生能源一体化平台
    • 客户参与与个人化能源管理

第五章 终端用户产业市场分析

  • 电力公司
  • 用水和污水管理公司
  • 天然气和石油公司
  • 可再生能源企业
  • 地方和政府能源部门

第六章 市场：宏观经济情景，包括利率、通货膨胀、地缘政治、贸易战和关税的影响、关税战和贸易保护主义对供应链的影响，以及 COVID-19 疫情对市场的影响。

第七章：全球策略分析架构、目前市场规模、市场对比及成长率分析

  • 全球生成式人工智慧（AI）驱动的公共工程市场：PESTEL 分析（政治、社会、技术、环境、法律因素、促进因素和限制因素）
  • 全球生成式人工智慧（AI）驱动的公共工程市场规模、对比及成长率分析
  • 全球生成式人工智慧（AI）驱动的公共工程市场表现：规模与成长，2020-2025年
  • 全球生成式人工智慧（AI）驱动的公共工程市场预测：规模与成长，2025-2030年，2035年预测

第八章：全球市场总规模（TAM）

第九章 市场细分

  • 按类型
  • 发电、输电和配电、客户参与和能源效率、用水和污水管理、天然气和石油公共产业以及可再生能源併网。
  • 不同的发展
  • 本机部署、云端部署、混合式部署、边缘运算、协作式部署和可客製化解决方案。
  • 透过使用
  • 创造个人化的客户体验、改善资产管理、开发新产品和服务、增强安全性以及其他应用。
  • 按类型细分：发电
  • 电厂预测性维护、能源需求预测、负载平衡与最佳化以及电网管理解决方案
  • 按类型细分：电力传输和分配
  • 智慧电网技术、故障侦测与诊断、即时监控系统、资产管理解决方案
  • 按类型细分：客户参与与能源效率
  • 个人化能源管理工具、客户行为分析、能源使用预测、忠诚度和奖励计划
  • 按类型细分：用水和污水管理
  • 洩漏检测和监测系统、水质分析工具、供水需求预测和废水处理优化。
  • 按类型细分：天然气和石油公共产业
  • 管道监测与健康管理、洩漏检测技术、供应链优化和设备预测性维护。
  • 按类型细分：可再生能源併网
  • 储能与管理、分散式能源（DER）整合、微电网管理解决方案、可再生能源预测。

第十章 市场与产业指标：依国家划分

第十一章 区域与国别分析

  • 全球生成式人工智慧（AI）驱动的公共工程市场：按地区划分，实际值和预测值，2020-2025年、2025-2030年预测值、2035年预测值
  • 全球公共工程领域生成式人工智慧（AI）市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年预测值、2035年预测值

第十二章 亚太市场

第十三章：中国市场

第十四章：印度市场

第十五章：日本市场

第十六章：澳洲市场

第十七章：印尼市场

第十八章：韩国市场

第十九章 台湾市场

第二十章：东南亚市场

第21章 西欧市场

第22章英国市场

第23章：德国市场

第24章：法国市场

第25章：义大利市场

第26章：西班牙市场

第27章 东欧市场

第28章：俄罗斯市场

第29章 北美市场

第三十章：美国市场

第31章：加拿大市场

第32章：南美洲市场

第33章：巴西市场

第34章 中东市场

第35章：非洲市场

第三十六章 市场监理与投资环境

第37章：竞争格局与公司概况

  • 生成式人工智慧（AI）公共工程市场：竞争格局与市场份额，2024 年
  • 利用生成式人工智慧（AI）的公共工程市场：公司评估矩阵
  • 利用生成式人工智慧（AI）的公共工程市场：公司简介
    • Microsoft Corporation
    • Hitachi Ltd
    • Amazon Web Services Inc.
    • Siemens AG
    • General Electric Company

第38章 其他大型企业和创新企业

  • IBM Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd., NVIDIA Corporation, Capgemini SE, Eaton Corporation, Infosys Limited, Emerson Electric Co., Wipro Limited, Rockwell Automation Inc., The Tata Power Company Ltd., AVEVA Group plc, C3.ai Inc.

第39章 全球市场竞争基准分析与仪錶板

第四十章 重大併购

第41章 具有高市场潜力的国家、细分市场与策略

  • 2030年生成式人工智慧（AI）公共工程市场：提供新机会的国家
  • 2030年生成式人工智慧（AI）驱动的公共工程市场：提供新机会的细分领域
  • 2030年生成式人工智慧（AI）驱动的公共工程市场：成长策略
    • 基于市场趋势的策略
    • 竞争对手的策略

第42章附录

简介目录
Product Code: IT4MGAIA21_G26Q1

Generative artificial intelligence (AI) in utilities involves leveraging advanced AI algorithms to enhance and innovate various aspects of utility management. This includes applications such as predictive maintenance, forecasting energy consumption, optimizing smart grids, and integrating renewable energy sources. By analyzing extensive data sets, generative AI can boost efficiency, cut costs, and improve service reliability, helping utilities manage resources in a more effective and sustainable manner.

The main types of generative AI in utilities encompass electricity generation, transmission and distribution, customer engagement and energy efficiency, water and wastewater management, gas and oil utilities, and renewable energy integration. Electricity generation covers the production of electrical power from sources such as coal, natural gas, nuclear, solar, wind, and hydropower. Deployments of this technology include on-premises, cloud-based, hybrid, edge computing, collaborative, and customized in-house solutions, catering to various applications such as enhancing customer experiences, improving asset management, developing new products and services, and boosting safety.

Tariffs have impacted the generative AI in utilities market by raising costs for importing advanced sensors, servers, grid management software, and predictive analytics tools. Segments such as electricity generation, transmission and distribution, and renewable energy integration are particularly affected, especially in regions like North America, Europe, and Asia-Pacific where critical utility hardware is often imported. While tariffs have increased operational expenses and slowed deployment in certain areas, they have also encouraged local manufacturing, innovation in cost-efficient solutions, and development of in-house AI capabilities, helping utilities reduce dependency on imports.

The generative artificial intelligence (AI) in utilities market research report is one of a series of new reports from The Business Research Company that provides generative artificial intelligence (AI) in utilities market statistics, including generative artificial intelligence (AI) in utilities industry global market size, regional shares, competitors with a generative artificial intelligence (AI) in utilities market share, detailed generative artificial intelligence (AI) in utilities market segments, market trends and opportunities, and any further data you may need to thrive in the generative artificial intelligence (AI) in utilities industry. This generative artificial intelligence (AI) in 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 generative artificial intelligence (AI) in utilities market size has grown exponentially in recent years. It will grow from $1.4 billion in 2025 to $1.92 billion in 2026 at a compound annual growth rate (CAGR) of 36.6%. The growth in the historic period can be attributed to growing demand for reliable electricity and water supply, increasing adoption of smart meters, rising investment in renewable energy, early implementation of predictive maintenance, expansion of utility analytics solutions.

The generative artificial intelligence (AI) in utilities market size is expected to see exponential growth in the next few years. It will grow to $6.62 billion in 2030 at a compound annual growth rate (CAGR) of 36.3%. The growth in the forecast period can be attributed to advancements in generative AI algorithms, integration of AI with smart grids and iot devices, adoption of cloud-based utility management platforms, expansion of renewable energy management solutions, growth in personalized customer energy services. Major trends in the forecast period include predictive maintenance for utility equipment, smart grid optimization solutions, energy consumption forecasting tools, renewable energy integration platforms, customer engagement and personalized energy management.

The increasing utilization of renewable energy sources is expected to support the growth of generative artificial intelligence (AI) in the utilities market going forward. Renewable energy sources are naturally replenishing resources such as solar, wind, hydro, geothermal, and biomass used for power generation. Adoption of renewable energy is accelerating due to scalability, declining costs, and broader implementation across regions. Generative artificial intelligence supports utilities by delivering data-driven insights that optimize energy generation, distribution, and consumption while reducing dependence on fossil fuels. For example, in February 2025, according to the World Resources Institute, a US-based non-profit research organization, solar power additions reached an estimated 39.6 GW in 2024, up from 27.4 GW in 2023, bringing total installed U.S. solar capacity to approximately 220 GW and supplying more than 7% of national electricity. Therefore, increasing utilization of renewable energy sources is contributing to the growth of generative artificial intelligence (AI) in the utilities market.

Leading companies operating in the generative artificial intelligence (AI) in the utility market are focusing on delivering real-time insights aligned with the growing adoption of data-driven approaches, such as unified platforms for the energy sector, to improve operational efficiency and enable advanced data analytics for informed decision-making. A unified platform for the energy sector is an integrated system that combines multiple technologies to optimize operations, strengthen data analysis, and support effective decision-making. For example, in April 2024, Databricks Inc., a US-based data and AI company, launched a data intelligence platform featuring large language model (LLM)-powered chatbots for personalized user support, Internet of Things (IoT)-based predictive maintenance to improve uptime and reduce costs, real-time data processing through digital twins, artificial intelligence (AI) and machine learning (ML) models for wind turbine maintenance, and grid-edge analytics to improve grid performance and prevent outages. In addition, the real-time data ingestion platform (RTDIP) provides a cloud-native framework for data standardization and predictive analytics.

In January 2023, Snowflake Inc., a US-based cloud computing data cloud company, acquired Myst AI Inc. for an undisclosed amount. This acquisition forms part of Snowflake's strategy to embed machine learning extensibility within its data cloud platform and strengthen its time-series forecasting capabilities. Myst AI Inc. is a US-based provider of generative artificial intelligence technologies focused on electricity demand forecasting.

Major companies operating in the generative artificial intelligence (AI) in utilities market are Microsoft Corporation, Hitachi Ltd, Amazon Web Services Inc., Siemens AG, General Electric Company, IBM Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd., NVIDIA Corporation, Capgemini SE, Eaton Corporation, Infosys Limited, Emerson Electric Co., Wipro Limited, Rockwell Automation Inc., The Tata Power Company Ltd., AVEVA Group plc, C3.AI Inc., SparkCognition Inc., Bidgely Inc.

North America was the largest region in the generative artificial intelligence (AI) in the utilities market in 2025. The regions covered in the generative artificial intelligence (AI) in utilities market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The generative artificial intelligence (AI) in the utilities market includes revenues earned by entities through customer service automation, energy consumption forecasting, smart grid optimization, and load forecasting. The market value includes the value of related goods sold by the service provider or included within the service offering. Only goods and services traded between entities or sold to end consumers are included.

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 Artificial Intelligence (AI) In Utilities Market Global Report 2026 from The Business Research Company provides strategists, marketers and senior management with the critical information they need to assess the market.

This report focuses generative artificial intelligence (AI) in 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.

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Where is the largest and fastest growing market for generative artificial intelligence (AI) in 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 generative artificial intelligence (AI) in 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, total addressable market (TAM), market attractiveness score (MAS), competitive landscape, market shares, company scoring matrix, 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. This section also examines key products and services offered in the market, evaluates brand-level differentiation, compares product features, and highlights major innovation and product development trends.
  • The supply chain analysis section provides an overview of the entire value chain, including key raw materials, resources, and supplier analysis. It also provides a list competitor at each level of the supply chain.
  • The updated trends and strategies section analyses the shape of the market as it evolves and highlights emerging technology trends such as digital transformation, automation, sustainability initiatives, and AI-driven innovation. It suggests how companies can leverage these advancements to strengthen their market position and achieve competitive differentiation.
  • The regulatory and investment landscape section provides an overview of the key regulatory frameworks, regularity bodies, associations, and government policies influencing the market. It also examines major investment flows, incentives, and funding trends shaping industry growth and innovation.
  • 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 technological advancements such as AI and automation, Russia-Ukraine war, trade tariffs (government-imposed import/export duties), elevated inflation and interest rates.
  • The total addressable market (TAM) analysis section defines and estimates the market potential compares it with the current market size, and provides strategic insights and growth opportunities based on this evaluation.
  • The market attractiveness scoring section evaluates the market based on a quantitative scoring framework that considers growth potential, competitive dynamics, strategic fit, and risk profile. It also provides interpretive insights and strategic implications for decision-makers.
  • 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.
  • Expanded geographical coverage includes Taiwan and Southeast Asia, reflecting recent supply chain realignments and manufacturing shifts in the region. This section analyzes how these markets are becoming increasingly important hubs in the global value chain.
  • 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 company scoring matrix section evaluates and ranks leading companies based on a multi-parameter framework that includes market share or revenues, product innovation, and brand recognition.

Scope

  • Markets Covered:1) By Type: Electricity Generation; Transmission And Distribution; Customer Engagement And Energy Efficiency; Water And Wastewater Management; Gas And Oil Utilities; Renewable Energy Integration
  • 2) By Deployment: On-Premises; Cloud-Based; Hybrid; Edge Computing; Collaborative; Customized In-House
  • 3) By Application: Create Personalized Customer Experiences; Improve Asset Management; Develop New Products And Services; Improve Safety; Other Applications
  • Subsegments:
  • 1) By Electricity Generation: Predictive Maintenance For Power Plants; Energy Demand Forecasting; Load Balancing And Optimization; Grid Management Solutions
  • 2) By Transmission And Distribution: Smart Grid Technologies; Fault Detection And Diagnostics; Real-Time Monitoring Systems; Asset Management Solutions
  • 3) By Customer Engagement and Energy Efficiency: Personalized Energy Management Tools; Customer Behavior Analytics; Energy Usage Forecasting; Loyalty and Rewards Programs
  • 4) By Water and Wastewater Management: Leak Detection and Monitoring Systems; Water Quality Analysis Tools; Demand Forecasting For Water Supply; Wastewater Treatment Optimization
  • 5) By Gas and Oil Utilities: Pipeline Monitoring And Integrity Management; Leak Detection Technologies; Supply Chain Optimization; Predictive Maintenance For Equipment
  • 6) By Renewable Energy Integration: Energy Storage Management; Integration Of Distributed Energy Resources (DERs); Microgrid Management Solutions; Renewable Energy Forecasting
  • Companies Mentioned: Microsoft Corporation; Hitachi Ltd; Amazon Web Services Inc.; Siemens AG; General Electric Company; IBM Corporation; Schneider Electric SE; Honeywell International Inc.; SAP SE; ABB Ltd.; NVIDIA Corporation; Capgemini SE; Eaton Corporation; Infosys Limited; Emerson Electric Co.; Wipro Limited; Rockwell Automation Inc.; The Tata Power Company Ltd.; AVEVA Group plc; C3.AI Inc.; SparkCognition Inc.; Bidgely Inc.
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Taiwan; Russia; South Korea; UK; USA; Canada; Italy; Spain.
  • Regions: Asia-Pacific; South East Asia; 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.
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Table of Contents

1. Executive Summary

  • 1.1. Key Market Insights (2020-2035)
  • 1.2. Visual Dashboard: Market Size, Growth Rate, Hotspots
  • 1.3. Major Factors Driving the Market
  • 1.4. Top Three Trends Shaping the Market

2. Generative Artificial Intelligence (AI) In Utilities Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Generative Artificial Intelligence (AI) In Utilities Market Attractiveness Scoring And Analysis
    • 2.4.1. Overview of Market Attractiveness Framework
    • 2.4.2. Quantitative Scoring Methodology
    • 2.4.3. Factor-Wise Evaluation
  • Growth Potential Analysis, Competitive Dynamics Assessment, Strategic Fit Assessment And Risk Profile Evaluation
    • 2.4.4. Market Attractiveness Scoring and Interpretation
    • 2.4.5. Strategic Implications and Recommendations

3. Generative Artificial Intelligence (AI) In Utilities Market Supply Chain Analysis

  • 3.1. Overview of the Supply Chain and Ecosystem
  • 3.2. List Of Key Raw Materials, Resources & Suppliers
  • 3.3. List Of Major Distributors and Channel Partners
  • 3.4. List Of Major End Users

4. Global Generative Artificial Intelligence (AI) In Utilities Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Sustainability, Climate Tech & Circular Economy
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 Predictive Maintenance For Utility Equipment
    • 4.2.2 Smart Grid Optimization Solutions
    • 4.2.3 Energy Consumption Forecasting Tools
    • 4.2.4 Renewable Energy Integration Platforms
    • 4.2.5 Customer Engagement And Personalized Energy Management

5. Generative Artificial Intelligence (AI) In Utilities Market Analysis Of End Use Industries

  • 5.1 Electric Utility Companies
  • 5.2 Water And Wastewater Management Firms
  • 5.3 Gas And Oil Utility Providers
  • 5.4 Renewable Energy Providers
  • 5.5 Municipal And Government Energy Departments

6. Generative Artificial Intelligence (AI) In Utilities Market - Macro Economic Scenario Including The Impact Of Interest Rates, Inflation, Geopolitics, Trade Wars and Tariffs, Supply Chain Impact from Tariff War & Trade Protectionism, And Covid And Recovery On The Market

7. Global Generative Artificial Intelligence (AI) In Utilities Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

  • 7.1. Global Generative Artificial Intelligence (AI) In Utilities PESTEL Analysis (Political, Social, Technological, Environmental and Legal Factors, Drivers and Restraints)
  • 7.2. Global Generative Artificial Intelligence (AI) In Utilities Market Size, Comparisons And Growth Rate Analysis
  • 7.3. Global Generative Artificial Intelligence (AI) In Utilities Historic Market Size and Growth, 2020 - 2025, Value ($ Billion)
  • 7.4. Global Generative Artificial Intelligence (AI) In Utilities Forecast Market Size and Growth, 2025 - 2030, 2035F, Value ($ Billion)

8. Global Generative Artificial Intelligence (AI) In Utilities Total Addressable Market (TAM) Analysis for the Market

  • 8.1. Definition and Scope of Total Addressable Market (TAM)
  • 8.2. Methodology and Assumptions
  • 8.3. Global Total Addressable Market (TAM) Estimation
  • 8.4. TAM vs. Current Market Size Analysis
  • 8.5. Strategic Insights and Growth Opportunities from TAM Analysis

9. Generative Artificial Intelligence (AI) In Utilities Market Segmentation

  • 9.1. Global Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Electricity Generation, Transmission And Distribution, Customer Engagement And Energy Efficiency, Water And Wastewater Management, Gas And Oil Utilities, Renewable Energy Integration
  • 9.2. Global Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Deployment, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On-Premises, Cloud-Based, Hybrid, Edge Computing, Collaborative, Customized In-House
  • 9.3. Global Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Create Personalized Customer Experiences, Improve Asset Management, Develop New Products And Services, Improve Safety, Other Applications
  • 9.4. Global Generative Artificial Intelligence (AI) In Utilities Market, Sub-Segmentation Of Electricity Generation, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Predictive Maintenance For Power Plants, Energy Demand Forecasting, Load Balancing And Optimization, Grid Management Solutions
  • 9.5. Global Generative Artificial Intelligence (AI) In Utilities Market, Sub-Segmentation Of Transmission And Distribution, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Smart Grid Technologies, Fault Detection And Diagnostics, Real-Time Monitoring Systems, Asset Management Solutions
  • 9.6. Global Generative Artificial Intelligence (AI) In Utilities Market, Sub-Segmentation Of Customer Engagement and Energy Efficiency, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Personalized Energy Management Tools, Customer Behavior Analytics, Energy Usage Forecasting, Loyalty and Rewards Programs
  • 9.7. Global Generative Artificial Intelligence (AI) In Utilities Market, Sub-Segmentation Of Water and Wastewater Management, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Leak Detection and Monitoring Systems, Water Quality Analysis Tools, Demand Forecasting For Water Supply, Wastewater Treatment Optimization
  • 9.8. Global Generative Artificial Intelligence (AI) In Utilities Market, Sub-Segmentation Of Gas and Oil Utilities, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Pipeline Monitoring And Integrity Management, Leak Detection Technologies, Supply Chain Optimization, Predictive Maintenance For Equipment
  • 9.9. Global Generative Artificial Intelligence (AI) In Utilities Market, Sub-Segmentation Of Renewable Energy Integration, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Energy Storage Management, Integration Of Distributed Energy Resources (DERs), Microgrid Management Solutions, Renewable Energy Forecasting

10. Generative Artificial Intelligence (AI) In Utilities Market, Industry Metrics By Country

  • 10.1. Global Generative Artificial Intelligence (AI) In Utilities Market, Average Selling Price By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $
  • 10.2. Global Generative Artificial Intelligence (AI) In Utilities Market, Average Spending Per Capita (Employed) By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $

11. Generative Artificial Intelligence (AI) In Utilities Market Regional And Country Analysis

  • 11.1. Global Generative Artificial Intelligence (AI) In Utilities Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 11.2. Global Generative Artificial Intelligence (AI) In Utilities Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. Asia-Pacific Generative Artificial Intelligence (AI) In Utilities Market

  • 12.1. Asia-Pacific Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. Asia-Pacific Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. China Generative Artificial Intelligence (AI) In Utilities Market

  • 13.1. China Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 13.2. China Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. India Generative Artificial Intelligence (AI) In Utilities Market

  • 14.1. India Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Japan Generative Artificial Intelligence (AI) In Utilities Market

  • 15.1. Japan Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 15.2. Japan Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Australia Generative Artificial Intelligence (AI) In Utilities Market

  • 16.1. Australia Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. Indonesia Generative Artificial Intelligence (AI) In Utilities Market

  • 17.1. Indonesia Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. South Korea Generative Artificial Intelligence (AI) In Utilities Market

  • 18.1. South Korea Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 18.2. South Korea Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. Taiwan Generative Artificial Intelligence (AI) In Utilities Market

  • 19.1. Taiwan Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. Taiwan Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. South East Asia Generative Artificial Intelligence (AI) In Utilities Market

  • 20.1. South East Asia Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 20.2. South East Asia Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. Western Europe Generative Artificial Intelligence (AI) In Utilities Market

  • 21.1. Western Europe Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 21.2. Western Europe Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. UK Generative Artificial Intelligence (AI) In Utilities Market

  • 22.1. UK Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. Germany Generative Artificial Intelligence (AI) In Utilities Market

  • 23.1. Germany Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. France Generative Artificial Intelligence (AI) In Utilities Market

  • 24.1. France Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Italy Generative Artificial Intelligence (AI) In Utilities Market

  • 25.1. Italy Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Spain Generative Artificial Intelligence (AI) In Utilities Market

  • 26.1. Spain Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Eastern Europe Generative Artificial Intelligence (AI) In Utilities Market

  • 27.1. Eastern Europe Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 27.2. Eastern Europe Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. Russia Generative Artificial Intelligence (AI) In Utilities Market

  • 28.1. Russia Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. North America Generative Artificial Intelligence (AI) In Utilities Market

  • 29.1. North America Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. North America Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. USA Generative Artificial Intelligence (AI) In Utilities Market

  • 30.1. USA Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 30.2. USA Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. Canada Generative Artificial Intelligence (AI) In Utilities Market

  • 31.1. Canada Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. Canada Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. South America Generative Artificial Intelligence (AI) In Utilities Market

  • 32.1. South America Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 32.2. South America Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Brazil Generative Artificial Intelligence (AI) In Utilities Market

  • 33.1. Brazil Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Middle East Generative Artificial Intelligence (AI) In Utilities Market

  • 34.1. Middle East Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 34.2. Middle East Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Africa Generative Artificial Intelligence (AI) In Utilities Market

  • 35.1. Africa Generative Artificial Intelligence (AI) In Utilities Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 35.2. Africa Generative Artificial Intelligence (AI) In Utilities Market, Segmentation By Type, Segmentation By Deployment, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

36. Generative Artificial Intelligence (AI) In Utilities Market Regulatory and Investment Landscape

37. Generative Artificial Intelligence (AI) In Utilities Market Competitive Landscape And Company Profiles

  • 37.1. Generative Artificial Intelligence (AI) In Utilities Market Competitive Landscape And Market Share 2024
    • 37.1.1. Top 10 Companies (Ranked by revenue/share)
  • 37.2. Generative Artificial Intelligence (AI) In Utilities Market - Company Scoring Matrix
    • 37.2.1. Market Revenues
    • 37.2.2. Product Innovation Score
    • 37.2.3. Brand Recognition
  • 37.3. Generative Artificial Intelligence (AI) In Utilities Market Company Profiles
    • 37.3.1. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.2. Hitachi Ltd Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.3. Amazon Web Services Inc. Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.4. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 37.3.5. General Electric Company Overview, Products and Services, Strategy and Financial Analysis

38. Generative Artificial Intelligence (AI) In Utilities Market Other Major And Innovative Companies

  • IBM Corporation, Schneider Electric SE, Honeywell International Inc., SAP SE, ABB Ltd., NVIDIA Corporation, Capgemini SE, Eaton Corporation, Infosys Limited, Emerson Electric Co., Wipro Limited, Rockwell Automation Inc., The Tata Power Company Ltd., AVEVA Group plc, C3.ai Inc.

39. Global Generative Artificial Intelligence (AI) In Utilities Market Competitive Benchmarking And Dashboard

40. Key Mergers And Acquisitions In The Generative Artificial Intelligence (AI) In Utilities Market

41. Generative Artificial Intelligence (AI) In Utilities Market High Potential Countries, Segments and Strategies

  • 41.1. Generative Artificial Intelligence (AI) In Utilities Market In 2030 - Countries Offering Most New Opportunities
  • 41.2. Generative Artificial Intelligence (AI) In Utilities Market In 2030 - Segments Offering Most New Opportunities
  • 41.3. Generative Artificial Intelligence (AI) In Utilities Market In 2030 - Growth Strategies
    • 41.3.1. Market Trend Based Strategies
    • 41.3.2. Competitor Strategies

42. Appendix

  • 42.1. Abbreviations
  • 42.2. Currencies
  • 42.3. Historic And Forecast Inflation Rates
  • 42.4. Research Inquiries
  • 42.5. The Business Research Company
  • 42.6. Copyright And Disclaimer