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市场调查报告书
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1843636

2025年全球能源人工智慧市场报告

AI In Energy 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

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简介目录

近年来，能源领域人工智慧的市场规模迅速扩张，从2024年的190.3亿美元成长到2025年的228.2亿美元，复合年增长率达19.9%。在此期间，数据分析将推动能源效率提升、需量反应管理、预测性维护、电网优化和可再生能源整合等应用的成长。

预计未来几年能源领域的人工智慧市场将呈指数级增长，到2029年将达到502.5亿美元，年复合成长率（CAGR）为21.8%。预测期内的成长归因于分散式能源系统、储能管理、智慧城市和基础设施、交通电气化以及边缘运算的整合。预测期内的主要趋势包括能源效率分析、自主能源基础设施、网路安全解决方案、虚拟发电厂以及用于能源管理的边缘人工智慧。

能源领域的人工智慧是指在能源领域应用人工智慧 (AI) 技术和方法，以提高效率、优化营运和改善决策流程。这涵盖数据分析、电网管理和安全以及需求响应等各个方面。人工智慧正被用于能源领域，以最大限度地回收利用太阳能电池板、风力发电机和水力发电大坝等可再生能源系统中使用的材料。

能源领域人工智慧的主要产品包括支援服务、硬体、人工智慧即服务和软体。支援服务包括各种活动和资源，旨在帮助个人、组织或客户满足其需求、解决其问题并确保其满意。该技术可以透过本地部署和云端配置模式进行部署。能源领域的人工智慧正应用于各个领域，包括需量反应管理、车队和资产管理、可再生能源管理、精准钻井、需求预测和基础设施管理。能源领域人工智慧的最终用户包括从事能源传输、能源生产、能源发行、公共产业和其他相关行业的公司。

2025年春季美国突然提高关税以及由此引发的贸易摩擦对资讯科技产业产生了重大影响，尤其是硬体製造、资料基础设施和软体部署。对进口半导体、电路基板和网路设备征收更高的关税，并推高了高科技公司、云端服务供应商和资料中心的生产和营运成本。在全球范围内采购笔记型电脑、伺服器和消费电子产品零件的公司面临更长的前置作业时间和价格压力。同时，对专业软体征收的关税以及主要国际市场的报復性措施扰乱了全球IT供应链，减少了海外对美国製造技术的需求。作为应对措施，该行业正在增加对国内晶片生产的投资，扩大供应商网络，并利用人工智慧驱动的自动化来提高弹性并更有效地管理成本。

这份研究报告是商业研究公司（The Business Research Company）新报告系列的一部分，该系列提供了能源领域人工智慧的市场统计数据，包括全球市场规模、区域份额、能源领域人工智慧市场份额的竞争对手、能源领域人工智慧的详细细分市场、市场趋势和商业机会，为您提供在能源领域人工智慧产业取得成功所需的数据。这份能源领域人工智慧市场研究报告透过对产业现状和未来情况的详细分析，提供了您所需的一切资讯的完整展望。

我们预测未来五年该市场将成长21.8%，较我们先前对该市场的预测略有下降0.2%。这一下降主要源自于美国与其他国家之间关税的影响。这可能会直接影响美国，因为它会扰乱依赖韩国和德国高效能运算硬体的主导电网优化工具的供应，从而导致可再生能源併网效率低下。此外，由于互惠关税以及贸易紧张局势和限制措施加剧对全球经济和贸易的负面影响，其影响也将更加广泛。

微电网的日益普及预计将在未来几年推动人工智慧在能源市场的扩张。微电网是本地化的能源系统，可以独立运作或与主电网协同运作。这些微电网对于能源领域人工智慧技术的整合和优化至关重要，有助于实现智慧能源管理、电网优化和再生能源来源的采用。微电网支援能源领域的各种人工智慧应用，包括需量反应、负载平衡和可再生能源整合。随着微电网使用量的增加，能源市场的人工智慧正经历显着成长。例如，根据英国能源安全与净零部于 2024 年 9 月发布的能源趋势报告，2024 年第二季的装置容量与 2023 年同期相比成长了总合%（210 万千瓦），达到 57.5 万千瓦。微电网使用量的增加预计将进一步推动人工智慧在能源市场的成长。

能源资产管理需求的激增预计将推动人工智慧在能源市场的应用。能源资产管理包含一套全面的策略方法，旨在监督、优化和最大化组织内或跨设施能源相关资产的性能和效率。能源资产管理利用人工智慧 (AI) 深入分析来自能源资产的大量资料集，预测需求模式，优化能源生产和消费，检测异常并实施即时调整。例如，国际能源总署 (IEA) 于 2023 年 7 月发布的统计数据显示，2022 年全球整体发电量将成长总合%，达到约 700兆瓦时 (TWh)，凸显了对能源资产管理日益增长的需求。因此，日益增长的能源资产管理需求预计将推动人工智慧在能源市场的广泛应用。

技术趋势在人工智慧主导的能源市场中脱颖而出，成为一个显着且快速成长的趋势。该领域的领先公司正在积极采用创新技术来巩固其市场地位。例如，瑞典 IT 服务和顾问公司 Telefonaktiebolaget LM Ericsson 于 2022 年 2 月推出了基于人工智慧的能源基础设施营运系统。这种创新的能源管理系统利用人工智慧和进阶数据分析技术，帮助通讯服务供应商控制其网路基础设施的能源消耗。利用人工智慧功能，该系统旨在将与能源相关的营运费用 (OPEX) 降低 15%，相应地将与基础设施相关的被动站点访问减少 15%，并将因能源问题导致的停电减少 30%。这种策略方法不仅可以降低通讯服务提供者的 OPEX 和碳排放，还可以透过利用人工智慧和数据分析来最大限度地提高能源效率和站点可用性。

人工智慧能源市场的关键参与者正透过采用盘古矿山模型等突破性技术引领创新。盘古矿山模型旨在解决采矿业和更广泛能源领域的共同挑战，在工业生产中部署大规模人工智慧模型。例如，2023 年 7 月，三家中国公司——中国煤炭开采公司山东能源集团有限公司、中国网路技术公司云鼎科技有限公司和中国製造商华为技术有限公司——合作推出了盘古矿山模型。该模型包含解耦营运管理、智慧生产能力、现场数据处理、广泛的扩充性以及从有限数据样本中学习和分析的能力等特性。该模型的核心目标是透过拓宽人工智慧在各种场景中的应用频谱来提高采矿业能源应用的智慧化程度。人工智慧的持续使用旨在促进自动化、提高效率、降低劳动强度并增强能源使用的安全性，特别是在采矿业。

2022年6月，法国电机电子製造商Schneider Electric成功收购AutoGrid Systems。此次策略性收购将使Schneider Electric拓展其业务范围，进入新的领域，并为全球能源公司提供所需的工具，将超过1000吉瓦的分散式可再生能源併入电网。总部位于美国的AutoGrid Systems是一家专注于人工智慧驱动软体的软体公司，旨在增强分散式能源的智慧化。该软体有助于能源资源的预测、优化和即时控制。

能源市场中的人工智慧 (AI) 包括提供智慧电网营运和机器人等服务的营业单位所获得的收益。市场价值还包括服务提供者出售或包含在其服务产品中的任何相关商品的价值。能源市场中的人工智慧还包括 PyTorch 整合模拟器和类比设备模拟器的销售。该市场的价值是指“出厂价”，即商品製造商或创造者向其他营业单位（包括下游製造商、批发商、经销商和零售商）或直接向最终客户出售的商品价值。该市场中的商品价值还包括商品创造者出售的任何相关服务。

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、通膨、地缘政治、贸易战和关税，以及新冠疫情和復苏对市场的影响

第五章 全球成长分析与策略分析框架

  • 全球能源领域的人工智慧：PESTEL分析（政治、社会、技术、环境、法律因素、驱动因素和限制因素）
  • 最终用途产业分析
  • 全球能源领域人工智慧市场：成长率分析
  • 2019-2024 年全球能源领域人工智慧市场表现：规模与成长
  • 全球能源领域人工智慧市场：规模与成长，2024-2029 年，2034 年预测
  • 全球能源领域的人工智慧：总潜在市场（TAM）

第六章 市场细分

  • 全球能源领域人工智慧市场：按类型、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 支援服务
  • 硬体
  • AI-as-a-Service
  • 软体
  • 全球能源领域人工智慧市场：按部署、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 本地部署
  • 云
  • 全球能源领域人工智慧市场：应用、表现与预测（2019-2024 年、2024-2029 年及 2034 年）
  • 需量反应管理
  • 车队和资产管理
  • 可再生能源管理
  • 精密钻孔
  • 需求预测
  • 基础设施管理
  • 其他用途
  • 全球能源领域人工智慧市场：按最终用户、实际结果和预测，2019-2024 年、2024-2029 年、2034 年
  • 能量转移
  • 能源产出
  • 能源分配
  • 公用事业
  • 其他最终用户
  • 全球能源领域人工智慧市场：按支援服务类型、绩效和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 咨询服务
  • 实施服务
  • 维护和支援服务
  • 全球能源领域人工智慧市场：按硬体（类型）细分、效能和预测，2019-2024 年、2024-2029 年、2034 年
  • 人工智慧感测器
  • 智慧电錶
  • 边缘运算设备
  • 全球能源领域人工智慧市场：按人工智慧即服务类型、绩效和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 机器学习平台
  • 数据分析服务
  • 模型训练与开发服务
  • 全球能源领域人工智慧市场：按软体类型、效能和预测细分，2019-2024 年、2024-2029 年、2034 年
  • 能源管理软体
  • 预测性维护软体
  • 需量反应软体
  • 电网管理软体

第七章 区域和国家分析

  • 全球能源领域人工智慧市场：按地区、表现和预测，2019-2024 年、2024-2029 年、2034 年
  • 全球能源领域人工智慧市场：国家、表现与预测，2019-2024 年、2024-2029 年、2034 年

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18章：法国市场

第十九章：义大利市场

第20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30章：竞争格局与公司概况

  • 能源领域的人工智慧：竞争格局
  • 能源领域的人工智慧市场：公司简介
    • Google Overview, Products and Services, Strategy and Financial Analysis
    • Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • Engie SA Overview, Products and Services, Strategy and Financial Analysis
    • Huawei Technologies Co Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • Siemens AG Overview, Products and Services, Strategy and Financial Analysis

第31章：其他领先和创新企业

  • General Electric Company
  • Intel Corporation
  • International Business Machines Corporation
  • Iberdrola
  • Cisco Systems Inc.
  • Schneider Electric SE
  • Honeywell International Inc.
  • Flex Ltd.
  • ABB Ltd
  • Duke Energy Corporation
  • Nvidia Corporation
  • Alpiq Holding AG
  • ATOS SE
  • Enel Green Power SpA
  • Databricks Inc.

第 32 章全球市场竞争基准化分析与仪表板

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年能源领域的人工智慧：提供新机会的国家
  • 2029年能源领域的人工智慧：提供新机会的细分领域
  • 2029年能源领域人工智慧市场：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: r24638u

AI in energy refers to the application of artificial intelligence (AI) technologies and techniques within the energy sector to enhance efficiency, optimize operations, and improve decision-making processes. This includes various aspects such as data analysis, grid management and security, and demand response. AI is utilized in the energy sector to maximize the recycling of materials used in renewable energy systems, including solar panels, wind turbines, and hydroelectric dams.

The primary offerings in the field of AI in energy include support services, hardware, AI-as-a-service, and software. Support services encompass a range of activities and resources provided to individuals, organizations, or customers to assist them with their needs, address issues, and ensure satisfaction. The technology can be deployed through on-premises and cloud deployment modes. AI in energy finds applications in diverse areas, including demand response management, fleet and asset management, renewable energy management, precision drilling, demand forecasting, infrastructure management, and more. End-users of AI in energy include entities involved in energy transmission, energy generation, energy distribution, utilities, and other related sectors.

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 sharp rise in U.S. tariffs and the ensuing trade tensions in spring 2025 are having a significant impact on the information technology sector, especially in hardware manufacturing, data infrastructure, and software deployment. Increased duties on imported semiconductors, circuit boards, and networking equipment have driven up production and operating costs for tech companies, cloud service providers, and data centers. Firms that depend on globally sourced components for laptops, servers, and consumer electronics are grappling with extended lead times and mounting pricing pressures. At the same time, tariffs on specialized software and retaliatory actions by key international markets have disrupted global IT supply chains and dampened foreign demand for U.S.-made technologies. In response, the sector is ramping up investments in domestic chip production, broadening its supplier network, and leveraging AI-powered automation to improve resilience and manage costs more effectively.

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

The ai in energy market size has grown rapidly in recent years. It will grow from $19.03 billion in 2024 to $22.82 billion in 2025 at a compound annual growth rate (CAGR) of 19.9%. The growth in the historic period can be attributed to data analytics for efficiency, demand response management, predictive maintenance, grid optimization, renewable energy integration.

The ai in energy market size is expected to see exponential growth in the next few years. It will grow to $50.25 billion in 2029 at a compound annual growth rate (CAGR) of 21.8%. The growth in the forecast period can be attributed to decentralized energy systems, energy storage management, smart cities and infrastructure, electrification of transportation, integration of edge computing. Major trends in the forecast period include energy efficiency analytics, autonomous energy infrastructure, cybersecurity solutions, virtual power plants, edge ai for energy management.

The forecast of 21.8% growth over the next five years reflects a modest reduction of 0.2% from the previous estimate for this market. This reduction is primarily due to the impact of tariffs between the US and other countries. This is likely to directly affect the US by disrupting the supply of AI-driven grid optimization tools, dependent on high-performance computing hardware from South Korea and Germany, leading to inefficiencies in renewable energy integration. The effect will also be felt more widely due to reciprocal tariffs and the negative effect on the global economy and trade due to increased trade tensions and restrictions.

The growing adoption of microgrids is anticipated to drive the expansion of AI in the energy market in the coming years. A microgrid is a localized energy system that can operate independently or in conjunction with the main power grid. These microgrids are crucial for integrating and optimizing AI technology within the energy sector, facilitating intelligent energy management, grid optimization, and the incorporation of renewable energy sources. They support various AI applications in energy, such as demand response, load balancing, and renewable energy integration. As the utilization of microgrids increases, AI in the energy market is experiencing substantial growth. For instance, in September 2024, the Energy Trends report published by the Department for Energy Security and Net Zero, a UK-based ministerial department, revealed that installed capacity grew by 3.9 percent (2.1 GW) in the second quarter of 2024 compared to the same quarter in 2023, reaching a total of 57.5 GW. Therefore, the rising use of microgrids is expected to propel the growth of AI in the energy market moving forward.

The burgeoning demand for energy asset management is projected to steer the expansion of AI integration in the energy market. Energy asset management encapsulates a comprehensive and strategic approach aimed at overseeing, optimizing, and maximizing the performance and efficiency of energy-related assets within an organization or across various facilities. Leveraging artificial intelligence (AI), energy asset management delves into analyzing extensive datasets from energy assets, forecasting demand patterns, optimizing energy production and consumption, detecting anomalies, and implementing real-time adjustments. For instance, statistics from the International Energy Agency (IEA) in July 2023 unveiled a global increase of 2.4% in electricity generation in 2022, totaling around 700 terawatt-hours (TWh), underscoring the growing necessity for energy asset management. Consequently, the escalating demand for energy asset management is anticipated to drive the proliferation of AI within the energy market.

Advancements in technology stand out as a prominent and burgeoning trend in the AI-driven energy market. Leading entities within this sphere are actively embracing novel technologies to fortify their market standing. An illustration of this is Telefonaktiebolaget LM Ericsson, a Sweden-based IT services and consulting company, which, in February 2022, unveiled an AI-powered Energy Infrastructure Operations system. This innovative energy management system aids communications service providers in curtailing energy consumption across their network infrastructure through the utilization of artificial intelligence and sophisticated data analytics. Harnessing AI capabilities, this system targets a reduction of energy-related operational expenses (OPEX) by 15%, a corresponding decrease in passive infrastructure-related site visits by 15%, and a 30% mitigation of outages attributed to energy issues. This strategic approach not only trims OPEX and carbon emissions for communications service providers but also maximizes energy efficiency and site availability by leveraging AI and data analytics.

Significant players within the AI-powered energy market are spearheading innovation through the introduction of groundbreaking technologies, such as the Pangu Mine Model, marking the world's initial large-scale AI model commercially accessible within the energy sector. Tailored to tackle challenges prevalent in both the mining and broader energy domains, the Pangu Mine Model deploys expansive AI models in industrial production. For instance, in July 2023, Shandong Energy Group Co. Ltd., a China-based coal mining company, YunDing Tech Co. Ltd., a China-based network technology firm, and Huawei Technologies Co. Ltd., a China-based manufacturing entity, collaborated on the launch of the Pangu Mine Model. This model encompasses features such as decoupled operation management, intelligent production capabilities, on-site data processing, extensive scalability, and the ability to learn and analyze from limited data samples. The model's core objective is to elevate the intelligence quotient within energy applications within the mining industry by broadening the spectrum of AI applications in various scenarios. The continuous utilization of AI aims to foster automation, enhance efficiency, decrease labor intensity, and elevate safety in energy utilization specifically for mining purposes.

In June 2022, Schneider Electric SE, a French electrical and electronics manufacturing company, successfully acquired AutoGrid Systems Inc. for an undisclosed amount. This strategic acquisition positions Schneider Electric to broaden its reach into new regions and offer energy companies across the globe the necessary tools to integrate over 1,000 GW of distributed and renewable energy resources into the grid. AutoGrid Systems Inc., based in the United States, is a software company specializing in AI-driven software designed to enhance the intelligence of distributed energy resources. The software facilitates prediction, optimization, and real-time control of energy resources.

Major companies operating in the AI in energy market include Google, Microsoft Corporation, Engie SA, Huawei Technologies Co Ltd., Siemens AG, General Electric Company, Intel Corporation, International Business Machines Corporation, Iberdrola, Cisco Systems Inc., Schneider Electric SE, Honeywell International Inc., Flex Ltd., ABB Ltd, Duke Energy Corporation, Nvidia Corporation, Alpiq Holding AG, ATOS SE, Enel Green Power S.p.A., Databricks Inc., C3 AI, Uptake Technologies, Sentient Energy Inc., AutoGrid Systems Inc., Arundo Analytics Inc., Bidgely Inc., Verdigris Technologies, Greenbird Integration Technology AS, AppOrchid Inc., Ecube Labs Co. Ltd

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

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

The AI in the energy market consists of revenues earned by entities by providing services such as smart grid operations and robotics. The market value includes the value of related goods sold by the service provider or included within the service offering. The AI in the energy market also includes sales of PyTorch integration and analog device simulators. 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.

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

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Where is the largest and fastest growing market for ai in energy ? How does the market relate to the overall economy, demography and other similar markets? What forces will shape the market going forward, including technological disruption, regulatory shifts, and changing consumer preferences? The ai in energy market global report from the Business Research Company answers all these questions and many more.

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

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

The 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 Offering: Support Services; Hardware; AI-As-A-Service; Software
  • 2) By Deployment: On-Premise; Cloud
  • 3) By Application: Demand Response Management; Fleet And Asset Management; Renewable Energy Management; Precision Drilling; Demand Forecasting; Infrastructure Management; Other Applications
  • 4) By End User: Energy Transmission; Energy Generation; Energy Distribution; Utilities; Other End Users
  • Subsegments:
  • 1) By Support Services: Consulting Services; Implementation Services; Maintenance And Support Services
  • 2) By Hardware: AI-Powered Sensors; Smart Meters; Edge Computing Devices
  • 3) By AI-As-A-Service: Machine Learning Platforms; Data Analytics Services; Model Training And Development Services
  • 4) By Software: Energy Management Software; Predictive Maintenance Software; Demand Response Software; Grid Management Software
  • Companies Mentioned: Google; Microsoft Corporation; Engie SA; Huawei Technologies Co Ltd.; Siemens AG; General Electric Company; Intel Corporation; International Business Machines Corporation; Iberdrola; Cisco Systems Inc.; Schneider Electric SE; Honeywell International Inc.; Flex Ltd.; ABB Ltd; Duke Energy Corporation; Nvidia Corporation; Alpiq Holding AG; ATOS SE; Enel Green Power S.p.A.; Databricks Inc.; C3 AI; Uptake Technologies; Sentient Energy Inc.; AutoGrid Systems Inc.; Arundo Analytics Inc.; Bidgely Inc.; Verdigris Technologies; Greenbird Integration Technology AS; AppOrchid Inc.; Ecube Labs Co. Ltd
  • Countries: Australia; Brazil; China; France; Germany; India; Indonesia; Japan; Russia; South Korea; UK; USA; Canada; Italy; Spain
  • Regions: Asia-Pacific; Western Europe; Eastern Europe; North America; South America; Middle East; Africa
  • Time Series: Five years historic and ten years forecast.
  • Data: Ratios of market size and growth to related markets, GDP proportions, expenditure per capita,
  • Data Segmentations: country and regional historic and forecast data, market share of competitors, market segments.
  • Sourcing and Referencing: Data and analysis throughout the report is sourced using end notes.
  • Delivery Format: PDF, Word and Excel Data Dashboard.

Table of Contents

1. Executive Summary

2. AI In Energy Market Characteristics

3. AI In Energy Market Trends And Strategies

4. AI In Energy 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 AI In Energy Growth Analysis And Strategic Analysis Framework

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

6. AI In Energy Market Segmentation

  • 6.1. Global AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Support Services
  • Hardware
  • AI-As-A-Service
  • Software
  • 6.2. Global AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • On-Premise
  • Cloud
  • 6.3. Global AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Demand Response Management
  • Fleet And Asset Management
  • Renewable Energy Management
  • Precision Drilling
  • Demand Forecasting
  • Infrastructure Management
  • Other Applications
  • 6.4. Global AI In Energy Market, Segmentation By End User, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Energy Transmission
  • Energy Generation
  • Energy Distribution
  • Utilities
  • Other End Users
  • 6.5. Global AI In Energy Market, Sub-Segmentation Of Support Services, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Consulting Services
  • Implementation Services
  • Maintenance And Support Services
  • 6.6. Global AI In Energy Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • AI-Powered Sensors
  • Smart Meters
  • Edge Computing Devices
  • 6.7. Global AI In Energy Market, Sub-Segmentation Of AI-As-A-Service, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Machine Learning Platforms
  • Data Analytics Services
  • Model Training And Development Services
  • 6.8. Global AI In Energy Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • Energy Management Software
  • Predictive Maintenance Software
  • Demand Response Software
  • Grid Management Software

7. AI In Energy Market Regional And Country Analysis

  • 7.1. Global AI In Energy Market, Split By Region, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 7.2. Global AI In Energy Market, Split By Country, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

8. Asia-Pacific AI In Energy Market

  • 8.1. Asia-Pacific AI In Energy 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 AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.3. Asia-Pacific AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 8.4. Asia-Pacific AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

9. China AI In Energy Market

  • 9.1. China AI In Energy Market Overview
  • 9.2. China AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.3. China AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion
  • 9.4. China AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F,$ Billion

10. India AI In Energy Market

  • 10.1. India AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.2. India AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 10.3. India AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

11. Japan AI In Energy Market

  • 11.1. Japan AI In Energy Market Overview
  • 11.2. Japan AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.3. Japan AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 11.4. Japan AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

12. Australia AI In Energy Market

  • 12.1. Australia AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.2. Australia AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 12.3. Australia AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

13. Indonesia AI In Energy Market

  • 13.1. Indonesia AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.2. Indonesia AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 13.3. Indonesia AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

14. South Korea AI In Energy Market

  • 14.1. South Korea AI In Energy Market Overview
  • 14.2. South Korea AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.3. South Korea AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 14.4. South Korea AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

15. Western Europe AI In Energy Market

  • 15.1. Western Europe AI In Energy Market Overview
  • 15.2. Western Europe AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.3. Western Europe AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 15.4. Western Europe AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

16. UK AI In Energy Market

  • 16.1. UK AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.2. UK AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 16.3. UK AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

17. Germany AI In Energy Market

  • 17.1. Germany AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.2. Germany AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 17.3. Germany AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

18. France AI In Energy Market

  • 18.1. France AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.2. France AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 18.3. France AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

19. Italy AI In Energy Market

  • 19.1. Italy AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.2. Italy AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 19.3. Italy AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

20. Spain AI In Energy Market

  • 20.1. Spain AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.2. Spain AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 20.3. Spain AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

21. Eastern Europe AI In Energy Market

  • 21.1. Eastern Europe AI In Energy Market Overview
  • 21.2. Eastern Europe AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.3. Eastern Europe AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 21.4. Eastern Europe AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

22. Russia AI In Energy Market

  • 22.1. Russia AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.2. Russia AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 22.3. Russia AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

23. North America AI In Energy Market

  • 23.1. North America AI In Energy Market Overview
  • 23.2. North America AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.3. North America AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 23.4. North America AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

24. USA AI In Energy Market

  • 24.1. USA AI In Energy Market Overview
  • 24.2. USA AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.3. USA AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 24.4. USA AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

25. Canada AI In Energy Market

  • 25.1. Canada AI In Energy Market Overview
  • 25.2. Canada AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.3. Canada AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 25.4. Canada AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

26. South America AI In Energy Market

  • 26.1. South America AI In Energy Market Overview
  • 26.2. South America AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.3. South America AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 26.4. South America AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

27. Brazil AI In Energy Market

  • 27.1. Brazil AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.2. Brazil AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 27.3. Brazil AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

28. Middle East AI In Energy Market

  • 28.1. Middle East AI In Energy Market Overview
  • 28.2. Middle East AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.3. Middle East AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 28.4. Middle East AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

29. Africa AI In Energy Market

  • 29.1. Africa AI In Energy Market Overview
  • 29.2. Africa AI In Energy Market, Segmentation By Offering, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.3. Africa AI In Energy Market, Segmentation By Deployment, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion
  • 29.4. Africa AI In Energy Market, Segmentation By Application, Historic and Forecast, 2019-2024, 2024-2029F, 2034F, $ Billion

30. AI In Energy Market Competitive Landscape And Company Profiles

  • 30.1. AI In Energy Market Competitive Landscape
  • 30.2. AI In Energy Market Company Profiles
    • 30.2.1. Google Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.2. Microsoft Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.3. Engie SA Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.4. Huawei Technologies Co Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 30.2.5. Siemens AG Overview, Products and Services, Strategy and Financial Analysis

31. AI In Energy Market Other Major And Innovative Companies

  • 31.1. General Electric Company
  • 31.2. Intel Corporation
  • 31.3. International Business Machines Corporation
  • 31.4. Iberdrola
  • 31.5. Cisco Systems Inc.
  • 31.6. Schneider Electric SE
  • 31.7. Honeywell International Inc.
  • 31.8. Flex Ltd.
  • 31.9. ABB Ltd
  • 31.10. Duke Energy Corporation
  • 31.11. Nvidia Corporation
  • 31.12. Alpiq Holding AG
  • 31.13. ATOS SE
  • 31.14. Enel Green Power S.p.A.
  • 31.15. Databricks Inc.

32. Global AI In Energy Market Competitive Benchmarking And Dashboard

33. Key Mergers And Acquisitions In The AI In Energy Market

34. Recent Developments In The AI In Energy Market

35. AI In Energy Market High Potential Countries, Segments and Strategies

  • 35.1 AI In Energy Market In 2029 - Countries Offering Most New Opportunities
  • 35.2 AI In Energy Market In 2029 - Segments Offering Most New Opportunities
  • 35.3 AI In Energy 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