2026年基於邊緣人工智慧（AI）的智慧電網全球市場報告

近年來，智慧電網邊緣人工智慧（AI）市場規模顯著擴張。預計該市場規模將從2025年的154.9億美元成長到2026年的194.6億美元，複合年成長率（CAGR）為25.7%。過去幾年成長要素包括：電網故障和停電次數增加、對能源效率的需求不斷成長、可再生能源應用範圍擴大、智慧電錶普及以及工業IoT公共產業的部署。

未來幾年，智慧電網邊緣人工智慧市場規模預計將大幅成長。預計到2030年，該市場規模將達到489.1億美元，複合年成長率（CAGR）為25.9%。預測期內的成長要素包括：邊緣人工智慧在預測分析領域的應用、智慧繼電器和處理單元的部署、人工智慧驅動的電網管理解決方案的採用、智慧電網網路安全投資的增加以及分散式能源資源管理的擴展。預測期內的關鍵趨勢包括：利用邊緣人工智慧進行電網最佳化、即時能源負載預測、預測性維護和資產監控、智慧感測器和邊緣設備的整合，以及能源管理和運行效率的提升。

不斷成長的能源需求預計將推動智慧電網市場邊緣人工智慧（AI）的擴張。能源需求是指消費者、工業和服務業在特定時期內為滿足其營運和日常需求所需的總能源量。人口成長是能源需求成長的主要促進因素，人口成長反過來又會增加電力、交通、暖氣和其他能源密集活動的消耗。智慧電網中的邊緣人工智慧透過在本地即時處理數據來改善能源管理，從而加快決策速度、減少能源損耗並最佳化可再生能源的併網，最終實現高效可靠的電力供應。例如，根據總部位於美國的政府間組織－國際能源總署（IEA）的數據，到2025年9月，經合組織（OECD）國家6月份的淨發電量將達到922.6太瓦時（TWh），比2024年6月成長1.4%。因此，不斷成長的能源需求正在推動智慧電網市場邊緣人工智慧的擴張。

智慧電網市場的主要企業正在部署創新技術，例如支援人工智慧的物聯網邊緣運算蜂窩閘道器，以支援即時電網監控、自動化控制和最佳化能源分配。支援人工智慧的物聯網邊緣運算蜂窩閘道器是一種利用人工智慧在網路邊緣本地處理數據、連接物聯網系統並透過蜂巢式網路傳輸可操作資訊的設備，從而實現即時控制和監控。例如，2024年10月，美國科技公司Lantronix Inc.推出了SmartLV Gateway，這是一款專為智慧電網和工業環境中的低壓變電站設計的人工智慧物聯網邊緣運算蜂巢式閘道。 SmartLV Gateway支援即時自動化、控制和能源管理，同時整合了邊緣人工智慧處理、多重通訊協定連接和進階網路安全安全功能。憑藉LTE和5G連接，該設備支援可靠的遠端操作，並透過本地數據處理減少對集中式雲端系統的依賴。由於它可以與現有基礎設施無縫整合，電力公司和工業營運商可以最佳化能源流動、提高營運效率並增強電網韌性。

目錄

第1章：執行摘要

第2章 市場特徵

• 市場定義和範圍
• 市場區隔
• 主要產品和服務概述
• 全球智慧電網市場邊緣人工智慧（AI）應用：吸引力評分與分析
• 成長潛力分析、競爭評估、策略適宜性評估、風險狀況評估

第3章 市場供應鏈分析

• 供應鏈與生態系概述
• 清單：主要原料、資源和供應商
• 主要經銷商和通路合作夥伴名單
• 主要最終用戶列表

第4章：全球市場趨勢與策略

• 關鍵科技與未來趨勢
  • 人工智慧（AI）和自主人工智慧
  • 物聯網、智慧基礎設施、互聯生態系統
  • 數位化、雲端運算、巨量資料、網路安全
  • 永續性、氣候技術、循環經濟
  • 工業4.0和智慧製造
• 主要趨勢
  • 利用邊緣人工智慧進行網格最佳化
  • 即時電力負載預測
  • 預測性維護和資產監控
  • 智慧感測器和邊緣設備的整合
  • 能源管理和營運效率

第5章 終端用戶產業市場分析

• 電力公司
• 工業設施
• 商業能源企業
• 智慧城市和基礎設施計劃
• 可再生能源企業

第6章 市場：宏觀經濟情景，包括利率、通貨膨脹、地緣政治、貿易戰和關稅的影響、關稅戰和貿易保護主義對供應鏈的影響，以及 COVID-19 疫情對市場的影響。

第7章：全球策略分析架構、目前市場規模、市場對比及成長率分析

• 全球智慧電網市場邊緣人工智慧（AI）應用：PESTEL分析（政治、社會、技術、環境、法律因素、促進因素和限制因素）
• 基於邊緣人工智慧（AI）的全球智慧電網市場規模、對比及成長率分析
• 全球邊緣人工智慧（AI）智慧電網市場表現：規模與成長，2020-2025年
• 全球邊緣人工智慧（AI）智慧電網市場預測：規模與成長，2025-2030年，2035年預測

第8章：全球市場總規模（TAM）

第9章 市場細分

• 按組件
• 硬體、軟體、服務
• 按部署模式
• 本機部署、雲端部署
• 按解決方案類型
• 邊緣智慧平台、即時電網分析解決方案、預測性維護解決方案、人工智慧驅動的控制和自動化服務、網路安全和風險管理服務
• 透過使用
• 電網管理、資產管理、進階計量基礎設施 (AMI)、分散式能源資源管理及其他應用。
• 按最終用戶行業分類
• 電力公司、工業設施、商業能源營運商、智慧城市和基礎設施計劃
• 按類型細分：硬體
• 邊緣運算設備、感測器和致動器、網路設備、處理單元、控制模組
• 按類型細分：軟體
• 邊緣分析平台、機器學習軟體、預測性維護軟體、電網最佳化軟體、網路安全軟體
• 按類型細分：服務
• 整合和諮詢服務、託管服務、培訓和支援服務、維護服務、雲端運算和邊緣運算服務

第10章 區域與國別分析

• 全球邊緣人工智慧（AI）智慧電網市場：按地區分類，實際數據和預測數據，2020-2025年、2025-2030年、2035年
• 全球邊緣人工智慧（AI）智慧電網市場：按國家/地區分類，實際數據和預測數據，2020-2025年、2025-2030年預測數據、2035年預測數據

第11章 亞太市場

第12章：中國市場

第13章：印度市場

第14章：日本市場

第15章：澳洲市場

第16章：印尼市場

第17章：韓國市場

第18章 台灣市場

第19章 東南亞市場

第20章 西歐市場

第21章英國市場

第22章：德國市場

第23章：法國市場

第24章：義大利市場

第25章：西班牙市場

第26章：東歐市場

第27章：俄羅斯市場

第28章 北美市場

第29章：美國市場

第30章：加拿大市場

第31章：南美市場

第32章：巴西市場

第33章 中東市場

第34章：非洲市場

第35章 市場監理與投資環境

第36章：競爭格局與公司概況

• 智慧電網市場：邊緣人工智慧（AI）應用－競爭格局與市場佔有率（2024年）
• 基於邊緣人工智慧（AI）的智慧電網市場：公司估值矩陣
• 智慧電網市場：邊緣人工智慧（AI）的應用－公司概況
  • Siemens AG
  • Hitachi Energy Ltd.
  • NVIDIA Corporation
  • Intel Corporation
  • Schneider Electric SE

第37章 其他大型企業和創新企業

• 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：全球市場競爭基準分析與儀錶板

第39章：預計進入市場的Start-Ups

第40章 重大併購

第41章 具有高市場潛力的國家、細分市場與策略

• 2030年智慧電網市場：邊緣人工智慧（AI）的應用－各國的新機遇
• 2030年智慧電網市場：邊緣人工智慧（AI）的應用－新興細分市場機會
• 2030年智慧電網市場：邊緣人工智慧（AI）的成長策略
  • 基於市場趨勢的策略
  • 競爭對手的策略

第42章附錄

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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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.
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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