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市场调查报告书
商品编码
1987706

2026年基于边缘人工智慧（AI）的智慧电网全球市场报告

Edge Artificial Intelligence (AI) In Smart Grids 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，智慧电网边缘人工智慧（AI）市场规模显着扩张。预计该市场规模将从2025年的154.9亿美元成长到2026年的194.6亿美元，复合年增长率（CAGR）为25.7%。过去几年成长要素包括：电网故障和停电次数增加、对能源效率的需求不断增长、可再生能源应用范围扩大、智慧电錶普及以及工业IoT公共产业的部署。

未来几年，智慧电网边缘人工智慧市场规模预计将大幅成长。预计到2030年，该市场规模将达到489.1亿美元，复合年增长率（CAGR）为25.9%。预测期内的成长要素包括：边缘人工智慧在预测分析领域的应用、智慧继电器和处理单元的部署、人工智慧驱动的电网管理解决方案的采用、智慧电网网路安全投资的增加以及分散式能源资源管理的扩展。预测期内的关键趋势包括：利用边缘人工智慧进行电网优化、即时能源负载预测、预测性维护和资产监控、智慧感测器和边缘设备的集成，以及能源管理和运行效率的提升。

不断增长的能源需求预计将推动智慧电网市场边缘人工智慧（AI）的扩张。能源需求是指消费者、工业和服务业在特定时期内为满足其营运和日常需求所需的总能源量。人口成长是能源需求成长的主要驱动因素，人口成长反过来又会增加电力、交通、暖气和其他能源密集活动的消耗。智慧电网中的边缘人工智慧透过在本地即时处理数据来改善能源管理，从而加快决策速度、减少能源损耗并优化可再生能源的併网，最终实现高效可靠的电力供应。例如，根据总部位于美国的政府间组织－国际能源总署（IEA）的数据，到2025年9月，经合组织（OECD）国家6月份的净发电量将达到922.6太瓦时（TWh），比2024年6月增长1.4%。因此，不断增长的能源需求正在推动智慧电网市场边缘人工智慧的扩张。

智慧电网市场的主要企业正在部署创新技术，例如支援人工智慧的物联网边缘运算蜂窝网关，以支援即时电网监控、自动化控制和优化能源分配。支援人工智慧的物联网边缘运算蜂窝网关是一种利用人工智慧在网路边缘本地处理数据、连接物联网系统并透过蜂巢式网路传输可操作资讯的设备，从而实现即时控制和监控。例如，2024年10月，美国科技公司Lantronix Inc.推出了SmartLV Gateway，这是一款专为智慧电网和工业环境中的低压变电站设计的人工智慧物联网边缘运算蜂巢式闸道。 SmartLV Gateway支援即时自动化、控制和能源管理，同时整合了边缘人工智慧处理、多重通讯协定连接和进阶网路安全安全功能。凭藉LTE和5G连接，该设备支援可靠的远端操作，并透过本地数据处理减少对集中式云端系统的依赖。由于它可以与现有基础设施无缝集成，电力公司和工业营运商可以优化能源流动、提高营运效率并增强电网韧性。

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
  • 全球智慧电网市场边缘人工智慧（AI）应用：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
    • 物联网、智慧基础设施、互联生态系统
    • 数位化、云端运算、巨量资料、网路安全
    • 永续性、气候技术、循环经济
    • 工业4.0和智慧製造
  • 主要趋势
    • 利用边缘人工智慧进行网格优化
    • 即时电力负载预测
    • 预测性维护和资产监控
    • 智慧感测器和边缘设备的集成
    • 能源管理和营运效率

第五章 终端用户产业市场分析

  • 电力公司
  • 工业设施
  • 商业能源企业
  • 智慧城市和基础设施计划
  • 可再生能源企业

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

  • 全球智慧电网市场边缘人工智慧（AI）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）
  • 基于边缘人工智慧（AI）的全球智慧电网市场规模、对比及成长率分析
  • 全球边缘人工智慧（AI）智慧电网市场表现：规模与成长，2020-2025年
  • 全球边缘人工智慧（AI）智慧电网市场预测：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

  • 按组件
  • 硬体、软体、服务
  • 按部署模式
  • 本机部署、云端部署
  • 按解决方案类型
  • 边缘智慧平台、即时电网分析解决方案、预测性维护解决方案、人工智慧驱动的控制和自动化服务、网路安全和风险管理服务
  • 透过使用
  • 电网管理、资产管理、进阶计量基础设施 (AMI)、分散式能源资源管理及其他应用。
  • 按最终用户行业划分
  • 电力公司、工业设施、商业能源营运商、智慧城市和基础设施计划
  • 按类型细分：硬体
  • 边缘运算设备、感测器和致动器、网路设备、处理单元、控制模组
  • 按类型细分：软体
  • 边缘分析平台、机器学习软体、预测性维护软体、电网优化软体、网路安全软体
  • 按类型细分：服务
  • 整合和咨询服务、託管服务、培训和支援服务、维护服务、云端运算和边缘运算服务

第十章 区域与国别分析

  • 全球边缘人工智慧（AI）智慧电网市场：按地区划分，实际数据和预测数据，2020-2025年、2025-2030年、2035年
  • 全球边缘人工智慧（AI）智慧电网市场：按国家/地区划分，实际数据和预测数据，2020-2025年、2025-2030年预测数据、2035年预测数据

第十一章 亚太市场

第十二章：中国市场

第十三章：印度市场

第十四章：日本市场

第十五章：澳洲市场

第十六章：印尼市场

第十七章：韩国市场

第十八章 台湾市场

第十九章 东南亚市场

第20章 西欧市场

第21章英国市场

第22章：德国市场

第23章：法国市场

第24章：义大利市场

第25章：西班牙市场

第26章：东欧市场

第27章：俄罗斯市场

第28章 北美市场

第29章：美国市场

第三十章：加拿大市场

第31章：南美市场

第32章：巴西市场

第33章 中东市场

第34章：非洲市场

第三十五章 市场监理与投资环境

第36章：竞争格局与公司概况

  • 智慧电网市场：边缘人工智慧（AI）应用－竞争格局与市场占有率（2024年）
  • 基于边缘人工智慧（AI）的智慧电网市场：公司估值矩阵
  • 智慧电网市场：边缘人工智慧（AI）的应用－公司概况
    • Siemens AG
    • Hitachi Energy Ltd.
    • NVIDIA Corporation
    • Intel Corporation
    • Schneider Electric SE

第37章 其他大型企业和创新企业

  • Qualcomm Technologies Inc., GE Vernova, ABB Ltd., Hewlett Packard Enterprise Company, Beckwith Electric Co Inc., Itron Inc., Advantech Co. Ltd., Schweitzer Engineering Laboratories Inc., C3.ai Inc., SparkCognition Inc., Lantronix Inc., Uplight Inc., Utilidata Inc, Smarter Grid Solutions Ltd., ClearBlade Inc.

第38章：全球市场竞争基准分析与仪錶板

第39章：预计进入市场的Start-Ups

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年智慧电网市场：边缘人工智慧（AI）的应用－各国的新机会
  • 2030年智慧电网市场：边缘人工智慧（AI）的应用－新兴细分市场机会
  • 2030年智慧电网市场：边缘人工智慧（AI）的成长策略
    • 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: UT4MEASG01_G26Q1

Edge artificial intelligence in smart grids refers to a set of coordinated energy management and grid intelligence initiatives aimed at improving power reliability, efficiency, and operational sustainability by applying artificial intelligence directly at the edge of electricity networks. These solutions typically involve the integration of edge computing devices, machine learning models, and real-time analytics to enable utilities and industrial operators to monitor, control, and optimize grid performance more efficiently.

The primary components of edge artificial intelligence in smart grids consist of hardware, software, and services. Hardware refers to physical devices such as sensors, edge servers, and communication modules that enable real-time data collection, processing, and artificial intelligence computation at the edge of the smart grid network. These solutions are deployed through on-premises and cloud-based deployment models. They include solution types such as edge intelligence platforms, real-time grid analytics solutions, predictive maintenance solutions, AI-driven control and automation services, and cybersecurity and risk management services. The solutions are used across applications including grid management, asset management, advanced metering infrastructure, distributed energy resource management, and other applications, and serve end-user industries such as electric utilities, industrial facilities, commercial energy operators, and smart city and infrastructure projects.

Tariffs have affected the edge artificial intelligence in smart grids market by increasing costs of imported edge computing devices, sensors, and specialized processing units. The impact is most notable on hardware components and software-integrated solutions in regions like North America and Europe that rely heavily on imported technologies. Some domestic manufacturers benefit as utilities and industrial operators turn to local suppliers to mitigate cost increases. Overall, tariffs drive both innovation in cost-effective edge AI solutions and a push for local supply chain development.

The edge artificial intelligence (AI) in smart grids market size has grown exponentially in recent years. It will grow from $15.49 billion in 2025 to $19.46 billion in 2026 at a compound annual growth rate (CAGR) of 25.7%. The growth in the historic period can be attributed to rise in grid failures and outages, increasing demand for energy efficiency, growth in renewable energy integration, expansion of smart meter deployments, adoption of industrial iot in utilities.

The edge artificial intelligence (AI) in smart grids market size is expected to see exponential growth in the next few years. It will grow to $48.91 billion in 2030 at a compound annual growth rate (CAGR) of 25.9%. The growth in the forecast period can be attributed to implementation of edge ai for predictive analytics, deployment of intelligent relays and processing units, adoption of ai-driven grid management solutions, increasing investment in cybersecurity for smart grids, expansion of distributed energy resource management. Major trends in the forecast period include edge ai-driven grid optimization, real-time energy load forecasting, predictive maintenance and asset monitoring, integration of smart sensors and edge devices, energy management and operational efficiency.

The increasing energy demand is anticipated to support the expansion of the edge artificial intelligence (AI) in the smart grids market going forward. Energy demand represents the total amount of energy required by consumers, industries, and services to meet operational and daily needs over a defined period. The rise in energy demand is influenced by population growth, as a larger population increases consumption for electricity, transportation, heating, and other energy-intensive activities. Edge artificial intelligence in smart grids improves energy management by processing data locally in real time, enabling quicker decisions, reducing energy losses, and optimizing renewable energy integration for efficient and reliable power delivery. For example, in September 2025, according to the International Energy Agency, a US-based intergovernmental organization, total net electricity generation in the OECD reached 922.6 TWh in June, marking a 1.4% increase compared to June 2024. Therefore, the increasing energy demand is contributing to the expansion of edge artificial intelligence in the smart grids market.

Leading companies in the edge artificial intelligence in smart grids market are introducing innovative technologies, such as AI-enabled IoT edge compute cellular gateways, to support real-time grid monitoring, automated control, and optimized energy distribution. An AI-enabled IoT edge compute cellular gateway is a device that processes data locally using AI at the network edge, connects IoT systems, and transmits actionable insights via cellular networks for real-time control and monitoring. For example, in October 2024, Lantronix Inc., a US-based technology company, launched the SmartLV Gateway, an AI-powered IoT edge compute cellular gateway designed for low-voltage substations in smart grid and industrial environments. The SmartLV Gateway enables real-time automation, control, and energy management while incorporating edge AI processing, multi-protocol connectivity, and advanced cybersecurity features. With LTE and 5G communication capabilities, the device supports reliable remote operations and reduces reliance on centralized cloud systems by handling data locally. It integrates smoothly with existing infrastructure, allowing utilities and industrial operators to optimize energy flow, improve operational efficiency, and strengthen grid resilience.

In March 2025, Bidgely Inc., a US-based technology company, acquired Grid4C for an undisclosed amount. Through this acquisition, Bidgely accelerated development of its UtilityAI platform by expanding capabilities in grid-side intelligence, customer engagement, fault detection, and load and DER forecasting. Grid4C Inc. is a US-based provider of edge AI solutions designed for smart grid applications.

Major companies operating in the edge artificial intelligence (ai) in smart grids market are Siemens AG, Hitachi Energy Ltd., NVIDIA Corporation, Intel Corporation, Schneider Electric SE, Qualcomm Technologies Inc., GE Vernova, ABB Ltd., Hewlett Packard Enterprise Company, Beckwith Electric Co Inc., Itron Inc., Advantech Co. Ltd., Schweitzer Engineering Laboratories Inc., C3.ai Inc., SparkCognition Inc., Lantronix Inc., Uplight Inc., Utilidata Inc, Smarter Grid Solutions Ltd., ClearBlade Inc.

North America was the largest region in the edge artificial intelligence (AI) in smart grids market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the edge artificial intelligence (ai) in smart grids market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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

The edge artificial intelligence (AI) in smart grids market consists of revenues earned by entities by providing services such as edge artificial intelligence model development, edge device integration services, real-time grid monitoring services, predictive maintenance services, and energy load forecasting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The edge artificial intelligence (AI) in smart grids market also includes sales of edge artificial intelligence processors, smart sensors, intelligent relays, edge gateways, industrial IoT controllers, smart meters, and embedded artificial intelligence modules. 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.

The edge artificial intelligence (AI) in smart grids market research report is one of a series of new reports from The Business Research Company that provides edge artificial intelligence (AI) in smart grids market statistics, including edge artificial intelligence (AI) in smart grids industry global market size, regional shares, competitors with a edge artificial intelligence (AI) in smart grids market share, detailed edge artificial intelligence (AI) in smart grids market segments, market trends and opportunities, and any further data you may need to thrive in the edge artificial intelligence (AI) in smart grids industry. This edge artificial intelligence (AI) in smart grids 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.

Edge Artificial Intelligence (AI) In Smart Grids 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 edge artificial intelligence (ai) in smart grids 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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  • Benchmark performance against key competitors based on market share, innovation, and brand strength.
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Where is the largest and fastest growing market for edge artificial intelligence (ai) in smart grids ? 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 edge artificial intelligence (ai) in smart grids 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 Component: Hardware; Software; Services
  • 2) By Deployment Model: On-Premises; Cloud-Based
  • 3) By Solution Type: Edge Intelligence Platforms; Real-Time Grid Analytics Solutions; Predictive Maintenance Solutions; Artificial Intelligence-Driven Control And Automation Services; Cybersecurity And Risk Management Services
  • 4) By Application: Grid Management; Asset Management; Advanced Metering Infrastructure (AMI); Distributed Energy Resource Management; Other Applications
  • 5) By End-User Industry: Electric Utilities; Industrial Facilities; Commercial Energy Operators; Smart City And Infrastructure Projects
  • Subsegments:
  • 1) By Hardware: Edge Computing Devices; Sensors And Actuators; Networking Equipment; Processing Units; Control Modules
  • 2) By Software: Edge Analytics Platforms; Machine Learning Software; Predictive Maintenance Software; Grid Optimization Software; Cybersecurity Software
  • 3) By Services: Integration And Consulting Services; Managed Services; Training And Support Services; Maintenance Services; Cloud And Edge Computing Services
  • Companies Mentioned: Siemens AG; Hitachi Energy Ltd.; NVIDIA Corporation; Intel Corporation; Schneider Electric SE; Qualcomm Technologies Inc.; GE Vernova; ABB Ltd.; Hewlett Packard Enterprise Company; Beckwith Electric Co Inc.; Itron Inc.; Advantech Co. Ltd.; Schweitzer Engineering Laboratories Inc.; C3.ai Inc.; SparkCognition Inc.; Lantronix Inc.; Uplight Inc.; Utilidata Inc; Smarter Grid Solutions Ltd.; ClearBlade 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.
  • Delivery Format: Word, PDF or Interactive Report
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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. Edge Artificial Intelligence (AI) In Smart Grids Market Characteristics

  • 2.1. Market Definition & Scope
  • 2.2. Market Segmentations
  • 2.3. Overview of Key Products and Services
  • 2.4. Global Edge Artificial Intelligence (AI) In Smart Grids 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. Edge Artificial Intelligence (AI) In Smart Grids 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 Edge Artificial Intelligence (AI) In Smart Grids Market Trends And Strategies

  • 4.1. Key Technologies & Future Trends
    • 4.1.1 Artificial Intelligence & Autonomous Intelligence
    • 4.1.2 Internet Of Things (Iot), Smart Infrastructure & Connected Ecosystems
    • 4.1.3 Digitalization, Cloud, Big Data & Cybersecurity
    • 4.1.4 Sustainability, Climate Tech & Circular Economy
    • 4.1.5 Industry 4.0 & Intelligent Manufacturing
  • 4.2. Major Trends
    • 4.2.1 Edge Ai-Driven Grid Optimization
    • 4.2.2 Real-Time Energy Load Forecasting
    • 4.2.3 Predictive Maintenance And Asset Monitoring
    • 4.2.4 Integration Of Smart Sensors And Edge Devices
    • 4.2.5 Energy Management And Operational Efficiency

5. Edge Artificial Intelligence (AI) In Smart Grids Market Analysis Of End Use Industries

  • 5.1 Electric Utilities
  • 5.2 Industrial Facilities
  • 5.3 Commercial Energy Operators
  • 5.4 Smart City And Infrastructure Projects
  • 5.5 Renewable Energy Operators

6. Edge Artificial Intelligence (AI) In Smart Grids 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 Edge Artificial Intelligence (AI) In Smart Grids Strategic Analysis Framework, Current Market Size, Market Comparisons And Growth Rate Analysis

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

8. Global Edge Artificial Intelligence (AI) In Smart Grids 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. Edge Artificial Intelligence (AI) In Smart Grids Market Segmentation

  • 9.1. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Hardware, Software, Services
  • 9.2. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Deployment Model, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • On-Premises, Cloud-Based
  • 9.3. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Edge Intelligence Platforms, Real-Time Grid Analytics Solutions, Predictive Maintenance Solutions, Artificial Intelligence-Driven Control And Automation Services, Cybersecurity And Risk Management Services
  • 9.4. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Application, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Grid Management, Asset Management, Advanced Metering Infrastructure (AMI), Distributed Energy Resource Management, Other Applications
  • 9.5. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By End-User Industry, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Electric Utilities, Industrial Facilities, Commercial Energy Operators, Smart City And Infrastructure Projects
  • 9.6. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Sub-Segmentation Of Hardware, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Edge Computing Devices, Sensors And Actuators, Networking Equipment, Processing Units, Control Modules
  • 9.7. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Sub-Segmentation Of Software, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Edge Analytics Platforms, Machine Learning Software, Predictive Maintenance Software, Grid Optimization Software, Cybersecurity Software
  • 9.8. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Sub-Segmentation Of Services, By Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • Integration And Consulting Services, Managed Services, Training And Support Services, Maintenance Services, Cloud And Edge Computing Services

10. Edge Artificial Intelligence (AI) In Smart Grids Market Regional And Country Analysis

  • 10.1. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Split By Region, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion
  • 10.2. Global Edge Artificial Intelligence (AI) In Smart Grids Market, Split By Country, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

11. Asia-Pacific Edge Artificial Intelligence (AI) In Smart Grids Market

  • 11.1. Asia-Pacific Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 11.2. Asia-Pacific Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

12. China Edge Artificial Intelligence (AI) In Smart Grids Market

  • 12.1. China Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 12.2. China Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

13. India Edge Artificial Intelligence (AI) In Smart Grids Market

  • 13.1. India Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

14. Japan Edge Artificial Intelligence (AI) In Smart Grids Market

  • 14.1. Japan Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 14.2. Japan Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

15. Australia Edge Artificial Intelligence (AI) In Smart Grids Market

  • 15.1. Australia Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

16. Indonesia Edge Artificial Intelligence (AI) In Smart Grids Market

  • 16.1. Indonesia Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

17. South Korea Edge Artificial Intelligence (AI) In Smart Grids Market

  • 17.1. South Korea Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 17.2. South Korea Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

18. Taiwan Edge Artificial Intelligence (AI) In Smart Grids Market

  • 18.1. Taiwan Edge Artificial Intelligence (AI) In Smart Grids 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. Taiwan Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

19. South East Asia Edge Artificial Intelligence (AI) In Smart Grids Market

  • 19.1. South East Asia Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 19.2. South East Asia Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

20. Western Europe Edge Artificial Intelligence (AI) In Smart Grids Market

  • 20.1. Western Europe Edge Artificial Intelligence (AI) In Smart Grids 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. Western Europe Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

21. UK Edge Artificial Intelligence (AI) In Smart Grids Market

  • 21.1. UK Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

22. Germany Edge Artificial Intelligence (AI) In Smart Grids Market

  • 22.1. Germany Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

23. France Edge Artificial Intelligence (AI) In Smart Grids Market

  • 23.1. France Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

24. Italy Edge Artificial Intelligence (AI) In Smart Grids Market

  • 24.1. Italy Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

25. Spain Edge Artificial Intelligence (AI) In Smart Grids Market

  • 25.1. Spain Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

26. Eastern Europe Edge Artificial Intelligence (AI) In Smart Grids Market

  • 26.1. Eastern Europe Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 26.2. Eastern Europe Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

27. Russia Edge Artificial Intelligence (AI) In Smart Grids Market

  • 27.1. Russia Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

28. North America Edge Artificial Intelligence (AI) In Smart Grids Market

  • 28.1. North America Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 28.2. North America Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

29. USA Edge Artificial Intelligence (AI) In Smart Grids Market

  • 29.1. USA Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Country Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 29.2. USA Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

30. Canada Edge Artificial Intelligence (AI) In Smart Grids Market

  • 30.1. Canada Edge Artificial Intelligence (AI) In Smart Grids 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. Canada Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

31. South America Edge Artificial Intelligence (AI) In Smart Grids Market

  • 31.1. South America Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 31.2. South America Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

32. Brazil Edge Artificial Intelligence (AI) In Smart Grids Market

  • 32.1. Brazil Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

33. Middle East Edge Artificial Intelligence (AI) In Smart Grids Market

  • 33.1. Middle East Edge Artificial Intelligence (AI) In Smart Grids Market Overview
  • Region Information, Market Information, Background Information, Government Initiatives, Regulations, Regulatory Bodies, Major Associations, Taxes Levied, Corporate Tax Structure, Investments, Major Companies
  • 33.2. Middle East Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

34. Africa Edge Artificial Intelligence (AI) In Smart Grids Market

  • 34.1. Africa Edge Artificial Intelligence (AI) In Smart Grids 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. Africa Edge Artificial Intelligence (AI) In Smart Grids Market, Segmentation By Component, Segmentation By Deployment Model, Segmentation By Solution Type, Historic and Forecast, 2020-2025, 2025-2030F, 2035F, $ Billion

35. Edge Artificial Intelligence (AI) In Smart Grids Market Regulatory and Investment Landscape

36. Edge Artificial Intelligence (AI) In Smart Grids Market Competitive Landscape And Company Profiles

  • 36.1. Edge Artificial Intelligence (AI) In Smart Grids Market Competitive Landscape And Market Share 2024
    • 36.1.1. Top 10 Companies (Ranked by revenue/share)
  • 36.2. Edge Artificial Intelligence (AI) In Smart Grids Market - Company Scoring Matrix
    • 36.2.1. Market Revenues
    • 36.2.2. Product Innovation Score
    • 36.2.3. Brand Recognition
  • 36.3. Edge Artificial Intelligence (AI) In Smart Grids Market Company Profiles
    • 36.3.1. Siemens AG Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.2. Hitachi Energy Ltd. Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.3. NVIDIA Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.4. Intel Corporation Overview, Products and Services, Strategy and Financial Analysis
    • 36.3.5. Schneider Electric SE Overview, Products and Services, Strategy and Financial Analysis

37. Edge Artificial Intelligence (AI) In Smart Grids Market Other Major And Innovative Companies

  • Qualcomm Technologies Inc., GE Vernova, ABB Ltd., Hewlett Packard Enterprise Company, Beckwith Electric Co Inc., Itron Inc., Advantech Co. Ltd., Schweitzer Engineering Laboratories Inc., C3.ai Inc., SparkCognition Inc., Lantronix Inc., Uplight Inc., Utilidata Inc, Smarter Grid Solutions Ltd., ClearBlade Inc.

38. Global Edge Artificial Intelligence (AI) In Smart Grids Market Competitive Benchmarking And Dashboard

39. Upcoming Startups in the Market

40. Key Mergers And Acquisitions In The Edge Artificial Intelligence (AI) In Smart Grids Market

41. Edge Artificial Intelligence (AI) In Smart Grids Market High Potential Countries, Segments and Strategies

  • 41.1 Edge Artificial Intelligence (AI) In Smart Grids Market In 2030 - Countries Offering Most New Opportunities
  • 41.2 Edge Artificial Intelligence (AI) In Smart Grids Market In 2030 - Segments Offering Most New Opportunities
  • 41.3 Edge Artificial Intelligence (AI) In Smart Grids 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