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市場調查報告書
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2065223

面向電力市場的電網邊緣智慧和邊緣運算（至2034年）：按組件、部署模式、應用、最終用戶和區域分類的全球分析

Grid-Edge Intelligence and Edge Computing for Power Market Forecasts to 2034 - Global Analysis By Component (Hardware, Software and Services), Deployment Model, Application, End User and By Geography
出版日期: | 出版商: Stratistics Market Research Consulting | 英文 | 商品交期: 2-3個工作天內

價格

根據 Stratistics MRC 的數據，預計到 2026 年，全球電網邊緣智慧和電力市場邊緣運算市場規模將達到 28 億美元，並在預測期內以 21.1% 的複合年成長率成長，到 2034 年將達到 128 億美元。

電網邊緣智慧和邊緣運算在電力系統中指的是部署在更靠近發電、輸電和用電資產的分散式處理框架，從而實現快速分析和控制。透過將運算處理從集中式雲端平台轉移到本地節點，這些系統提高了速度、可靠性和運行效率。這使得可再生能源併網、需求預測、預測性維護和故障檢測等高階應用成為可能。電力公司正在部署智慧感測器、智慧電錶和變電站技術來平衡負載並最大限度地減少延遲。這種方法能夠在整個現代電力基礎設施中實現數據驅動的快速決策，最佳化整體系統性能效率，從而增強電網自主性、提高韌性並支持向清潔能源的轉型。

根據國際能源總署（IEA）的數據，全球智慧電錶的數量已從 2010 年的約 1 億個增加到 2022 年的超過 10 億個。

能源需求不斷成長和電動車的普及

電氣化趨勢和電動車 (EV) 的日益普及推動了電力需求的成長，而這正是電網邊緣智慧和邊緣運算在電力系統中的關鍵促進因素。住宅、工業和交通運輸領域能源消耗的不斷成長給現有電網基礎設施帶來了巨大壓力。電動車充電系統帶來了新的尖峰負載複雜性，需要即時追蹤和負荷平衡。邊緣運算能夠實現本地處理並快速回應不斷變化的需求狀況。電力公司可以管理充電行為，降低過載風險，並維持系統穩定性。這些因素正在推動對智慧電網技術的投資，以有效且有效率地應對不斷成長且日益複雜的全球能源需求。

前期投資高，基礎建設複雜

高昂的初始成本和複雜的基礎設施需求嚴重限制了電網邊緣智慧和邊緣運算在電力市場和邊緣運算市場的發展。部署邊緣設備、智慧感測器、通訊系統和數據平台需要大量的資本投入。許多電力公司，尤其是新興經濟體的電力公司，難以資金籌措來改造其老化的電網基礎設施。將先進的邊緣技術與現有的舊有系統整合會帶來技術挑戰，導致部署延遲且複雜。這些挑戰疊加在一起，阻礙了全球範圍內的普及應用，並延緩了向完全數位化、智慧化和分散式電網邊緣電力管理系統的轉型。

擴大可再生能源和分散式能源（DER）

可再生能源和分散式能源（DER）的快速成長為電力領域的電網邊緣智慧和邊緣運算創造了巨大的機會。太陽能板、風力發電廠、能源儲存系統和微電網的日益普及，對高度分散的監控能力提出了更高的要求。邊緣運算透過實現本地數據處理和分散式能源資產的高效協調，為此轉型提供了支持。這使得電力運營商能夠管理波動的可再生能源輸出，並維持系統穩定性。在全球永續性目標和相關支援措施的推動下，這些機會不斷擴大，電網邊緣技術正逐漸成為建立全球靈活、可靠且環境永續的能源網路的關鍵工具。

資料隱私和監管合規方面的挑戰

資料隱私和監管合法規結構問題對電網邊緣智慧和邊緣運算在能源領域的應用構成嚴重威脅。分散式系統收集並分析海量的敏感運營和用戶信息，因此安全處理至關重要。然而，在分散式網路中維護資料安全既複雜又成本高昂。不同地區的監管標準差異進一步加劇了全球電力營運商的合規性。違規可能導致經濟處罰、法律訴訟和聲譽損害。對數據不當使用的擔憂也會削弱用戶信任。這些因素共同減緩了邊緣電力系統技術的全球普及速度，並限制了其可擴展性。

新型冠狀病毒（COVID-19）的影響

新冠疫情對電力產業的電網邊緣智慧和邊緣運算市場產生了正面和負面的雙重影響。初期，供應鏈中斷、專案延期和勞動力短缺減緩了邊緣運算技術的應用。電力公司在封鎖期間也面臨現場作業受限的困境。然而，疫情危機加速了整個能源產業的數位轉型。對遠端監控的需求、家庭用電量的成長以及對可靠電力系統的需求，都推動了對邊緣運算解決方案的投資。電力公司更加重視自動化、即時數據處理和分散式控制。總而言之，疫情凸顯了全球對具有韌性和數位化能力的電力基礎設施系統的迫切需求。

在預測期內，軟體領域預計將佔據最大的市場佔有率。

預計在預測期內，軟體領域將佔據最大的市場佔有率，因為它在數據處理、分析和支援即時營運決策方面發揮核心作用。軟體系統對於電網監控、能源最佳化、預測性維護和分散式能源資源管理等功能至關重要。電力公司依靠這些平台來分析來自感測器和智慧電錶等邊緣設備產生的大量資訊。這些解決方案能夠提高效率、增強電網穩定性並進一步自動化。人工智慧工具、雲端邊緣整合架構和網路安全應用的日益普及，進一步鞏固了軟體領域在全球的領先地位。

網路安全和電網韌性領域預計在預測期內將呈現最高的複合年成長率。

在預測期內，網路安全和電網韌性領域預計將呈現最高的成長率。這一成長主要受以下因素驅動：針對關鍵電力基礎設施的網路攻擊日益增多，以及對安全不間斷供電的需求不斷成長。隨著電網數位化和互聯程度的提高，分散式邊緣設備和通訊系統面臨的風險也在增加。電力營運商正致力於開發先進的安全機制、即時入侵偵測和更具彈性的架構。邊緣運算透過實現本地監控和快速響應來滿足此需求，從而提升電網的安全性，並確保全球電網的持續運作。

市佔率最大的地區

在預測期內，北美地區預計將佔據最大的市場佔有率，這主要得益於其高度發展的電力基礎設施和智慧電網技術的早期應用。領先的科技公司和公用事業公司正積極進軍該地區，並在數位化能源轉型方面進行大量投資。物聯網設備的日益普及和可再生能源的併網進一步推動了市場成長。美國和加拿大的公用事業公司正擴大部署邊緣運算系統，以提高電網的效能、可靠性和安全性。政府的支持和對創新的高度重視，進一步鞏固了北美在全球市場的主導地位。

複合年成長率最高的地區

在預測期內，亞太地區預計將呈現最高的複合年成長率，這主要得益於快速的都市化、不斷成長的電力消耗量以及大規模的智慧電網建設。包括中國、印度、日本和韓國在內的主要經濟體正在大力投資電力基礎設施現代化和再生能源來源併網。各國政府致力於老舊電網現代化改造和推廣數位技術的措施也推動了相關技術的應用。此外，工業活動的活性化和物聯網能源系統的日益普及也促進了市場加速成長。這些因素共同作用，使亞太地區成為全球成長最快的區域市場。

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  • 企業概況
    • 對其他市場參與企業（最多 3 家公司）進行全面分析
    • 對主要公司進行SWOT分析（最多3家公司）
  • 區域細分
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  • 競爭性標竿分析
    • 透過產品系列、地域覆蓋和策略聯盟對標領先企業。

目錄

第1章執行摘要

  • 市場概覽及主要亮點
  • 促進因素、挑戰與機遇
  • 競爭格局概述
  • 戰略洞察與建議

第2章：研究框架

  • 研究目標和範圍
  • 相關人員分析
  • 研究假設和限制
  • 調查方法

第3章 市場動態與趨勢分析

  • 市場定義與結構
  • 主要市場促進因素
  • 市場限制與挑戰
  • 成長機會和重點投資領域
  • 工業威脅與風險評估
  • 技術與創新展望
  • 新興市場/高成長市場
  • 監管和政策環境
  • 新冠疫情的影響及復甦前景

第4章：競爭環境與策略評估

  • 波特五力分析
    • 供應商的議價能力
    • 買方的議價能力
    • 替代品的威脅
    • 新進入者的威脅
    • 競爭公司之間的競爭
  • 主要公司市佔率分析
  • 產品基準評效和效能比較

第5章 全球電網邊緣智慧與邊緣運算市場（面向電力市場）：按組件分類

  • 硬體
  • 軟體
  • 服務

第6章 全球電網邊緣智慧與邊緣運算市場（面向電力市場）：依部署模式分類

  • 本地邊緣系統
  • 雲端整合邊緣系統
  • 混合架構

第7章 全球電網邊緣智慧與邊緣運算市場（面向電力市場）：按應用領域分類

  • 電網監測控制
  • 分散式能源資源（DER）管理
  • 需量反應和負載管理
  • 預測性維護和資產最佳化
  • 能源交易和市場參與
  • 網路安全和電網韌性

第8章 全球電網邊緣智慧與邊緣運算市場（面向電力市場）：依最終用戶分類

  • 公共產業
  • 獨立發電商（IPP）
  • 工業和商業設施
  • 智慧城市和市政基礎設施
  • 住宅和區域能源系統

第9章 全球電網邊緣智慧與邊緣運算市場（面向電力市場）：按地區分類

  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 德國
    • 法國
    • 義大利
    • 西班牙
    • 荷蘭
    • 比利時
    • 瑞典
    • 瑞士
    • 波蘭
    • 其他歐洲國家
  • 亞太地區
    • 中國
    • 日本
    • 印度
    • 韓國
    • 澳洲
    • 印尼
    • 泰國
    • 馬來西亞
    • 新加坡
    • 越南
    • 其他亞太國家
  • 南美洲
    • 巴西
    • 阿根廷
    • 哥倫比亞
    • 智利
    • 秘魯
    • 其他南美國家
  • 其他
    • 中東
      • 沙烏地阿拉伯
      • 阿拉伯聯合大公國
      • 卡達
      • 以色列
      • 其他中東國家
    • 非洲
      • 南非
      • 埃及
      • 摩洛哥
      • 其他非洲地區

第10章 戰略市場資訊

  • 工業價值網路和供應鏈評估
  • 空白區域和機會地圖
  • 產品演進與市場生命週期分析
  • 通路、經銷商和打入市場策略的評估

第11章 產業趨勢與策略舉措

  • 併購
  • 夥伴關係、聯盟、合資企業
  • 新產品發布和認證
  • 擴大生產能力和投資
  • 其他策略舉措

第12章：公司簡介

  • Siemens AG
  • Schneider Electric
  • ABB Ltd.
  • General Electric
  • IBM Corporation
  • Oracle Corporation
  • Cisco Systems
  • Hitachi Energy
  • NVIDIA Corporation
  • Intel Corporation
  • Amazon Web Services
  • Microsoft Corporation
  • Google LLC
  • Hewlett Packard Enterprise
  • Dell Technologies
  • Huawei Technologies
  • Rockwell Automation
  • Emerson Electric
Product Code: SMRC36797

According to Stratistics MRC, the Global Grid-Edge Intelligence and Edge Computing for Power Market is accounted for $2.8 billion in 2026 and is expected to reach $12.8 billion by 2034 growing at a CAGR of 21.1% during the forecast period. Grid-edge intelligence and edge computing in power systems describe decentralized processing frameworks positioned near generation, transmission, and consumption assets to deliver rapid analytics and control. By shifting computation from centralized cloud platforms to local nodes, these systems improve speed, reliability, and operational efficiency. They enable advanced applications such as renewable integration, demand forecasting, predictive maintenance, and fault detection. Utilities deploy smart sensors, meters, and substation technologies to balance loads and minimize latency. This approach strengthens grid autonomy, enhances resilience, and supports cleaner energy transitions by allowing faster, data-driven decisions across modern electricity infrastructure and optimizing overall system performance efficiency gains.

According to the International Energy Agency (IEA), the number of smart power meters worldwide exceeded 1 billion in 2022, increasing from about 100 million in 2010.

Market Dynamics:

Driver:

Rising energy demand & EV adoption

Growing electricity demand due to electrification trends and increasing electric vehicle adoption is a significant driver of grid-edge intelligence and edge computing in power systems. Higher energy consumption from residential, industrial, and transport sectors creates pressure on existing grid infrastructure. EV charging systems add new peak load complexities that require real-time tracking and balancing. Edge computing provides localized processing and faster response to changing demand conditions. Utilities can manage charging behavior, reduce overload risks, and maintain system stability. This driver is pushing investments in smart grid technologies to handle expanding and increasingly complex global energy requirements effectively and efficiently overall.

Restraint:

High initial investment and infrastructure complexity

Substantial upfront costs and complex infrastructure requirements significantly restrict the growth of grid-edge intelligence and edge computing in the power sector. Implementing edge devices, intelligent sensors, communication systems, and data platforms demands heavy financial investment. Many utilities, particularly in emerging economies, struggle to fund modernization of aging grid infrastructure. Technical difficulties arise when integrating advanced edge technologies with existing legacy systems, making deployment slow and complicated. These challenges collectively hinder widespread adoption and delay the transformation toward fully digital, intelligent, and decentralized grid-edge power management systems worldwide.

Opportunity:

Expansion of renewable energy and distributed energy resources (DERs)

The rapid growth of renewable energy and distributed energy resources creates a strong opportunity for grid-edge intelligence and edge computing in the power sector. The rising use of solar panels, wind farms, energy storage systems, and microgrids demands advanced decentralized monitoring and control capabilities. Edge computing supports this transition by enabling local data processing and efficient coordination of distributed energy assets. It helps utilities manage variable renewable output and maintain system stability. Driven by global sustainability goals and supportive policies, this opportunity continues to expand, positioning grid-edge technologies as essential tools for building flexible, reliable, and environmentally sustainable energy networks globally.

Threat:

Data privacy and regulatory compliance challenges

Issues related to data privacy and compliance with regulatory frameworks present a serious threat to grid-edge intelligence and edge computing adoption in the energy sector. Distributed systems gather and analyze large amounts of sensitive operational and consumer information, making secure handling essential. However, maintaining data protection across decentralized networks is complex and expensive. Varying regulatory standards across different regions further complicate compliance for global utilities. Non-compliance can lead to financial penalties, legal consequences, and reputational harm. Concerns over improper data usage also reduce user confidence. These factors collectively slow down adoption and limit scalability of edge-based power system technologies globally.

Covid-19 Impact:

The COVID-19 pandemic produced both negative and positive effects on the grid-edge intelligence and edge computing market in the power sector. At the beginning, supply chain disruptions, delayed projects, and limited workforce availability slowed implementation of edge-based technologies. Utilities also struggled with restricted field operations during lockdowns. However, the crisis accelerated digital adoption across the energy industry. The need for remote monitoring, increased household electricity usage, and demand for reliable power systems encouraged investment in edge computing solutions. Utilities strengthened focus on automation, real-time data processing, and decentralized control. Overall, the pandemic emphasized the need for resilient and digitally enabled power infrastructure systems globally.

The software segment is expected to be the largest during the forecast period

The software segment is expected to account for the largest market share during the forecast period because it plays a central role in processing data, performing analytics, and supporting real-time operational decisions. Software systems are essential for functions such as grid monitoring, energy optimization, predictive maintenance, and managing distributed energy resources. Utilities depend on these platforms to analyze large volumes of information generated by edge devices like sensors and smart meters. These solutions improve efficiency, enhance grid stability, and enable greater automation. Increasing adoption of AI-based tools, integrated cloud-edge architectures, and cybersecurity-focused applications further reinforces the strong position of the software segment worldwide.

The cybersecurity & grid resilience segment is expected to have the highest CAGR during the forecast period

Over the forecast period, the cybersecurity & grid resilience segment is predicted to witness the highest growth rate. This expansion is fuelled by the rising number of cyber attacks targeting essential power infrastructure and the growing demand for secure and uninterrupted electricity delivery. With increasing digitalization and connectivity of power grids, risks across distributed edge devices and communication systems are also rising. Utilities are focusing on advanced security mechanisms, real-time intrusion detection, and stronger resilient architectures. Edge computing supports this need by enabling local monitoring and rapid response, thereby improving protection and ensuring continuous grid operations globally.

Region with largest share:

During the forecast period, the North America region is expected to hold the largest market share, driven by its highly developed electricity infrastructure and early adoption of smart grid technologies. The region has strong participation from major technology companies and utilities investing heavily in digital energy transformation. Widespread use of IoT-enabled devices and growing integration of renewable energy further support market expansion. Utilities across the United States and Canada are increasingly deploying edge computing systems to improve grid performance, reliability, and security. Government support and a strong focus on innovation continue to strengthen North America's leading position in this global market.

Region with highest CAGR:

Over the forecast period, the Asia Pacific region is anticipated to exhibit the highest CAGR, supported by rapid urban expansion, increasing power consumption, and large-scale smart grid development. Key economies including China, India, Japan, and South Korea are investing significantly in upgrading power infrastructure and integrating renewable energy sources. Government initiatives focused on modernizing aging grids and promoting digital technologies are also driving adoption. In addition, rising industrial activity and broader use of IoT-enabled energy systems contribute to market acceleration. These combined factors make Asia Pacific the fastest-expanding regional market globally.

Key players in the market

Some of the key players in Grid-Edge Intelligence and Edge Computing for Power Market include Siemens AG, Schneider Electric, ABB Ltd., General Electric, IBM Corporation, Oracle Corporation, Cisco Systems, Hitachi Energy, NVIDIA Corporation, Intel Corporation, Amazon Web Services, Microsoft Corporation, Google LLC, Hewlett Packard Enterprise, Dell Technologies, Huawei Technologies, Rockwell Automation and Emerson Electric.

Key Developments:

In November 2025, Siemens Energy has signed a contract to design and deliver the power conversion system for Oklo's Aurora powerhouse reactors. The contract will see Siemens Energy conduct detailed engineering and layout activities for a condensing SST-600 steam turbine, an SGen-100A industrial generator, and associated auxiliaries to support Oklo's first advanced reactor, the Aurora powerhouse at Idaho National Laboratory.

In November 2025, Schneider Electric announced a two-phase supply capacity agreement (SCA) totaling $1.9 billion in sales. The milestone deal includes prefabricated power modules and the first North American deployment of chillers. The announcement was unveiled at Schneider Electric'sInnovation Summit North America in Las Vegas, convening more than 2,500 business leaders and market innovators to accelerate practical solutions for a more resilient, affordable and intelligent energy future.

In November 2025, Hitachi Energy India and Bharat Heavy Electricals Ltd (BHEL) have executed a novation agreement that transfers contractual rights and obligations for the Rajasthan HVDC project from Rajasthan Part I Power Transmission Ltd (RPPTL) to an Adani Group entity. The agreement, completed, formalises the replacement of RPPTL with AESL Projects Ltd (APL) as the contracting party.

Components Covered:

  • Hardware
  • Software
  • Services

Deployment Models Covered:

  • On-Premises Edge Systems
  • Cloud-Integrated Edge Systems
  • Hybrid Architectures

Applications Covered:

  • Grid Monitoring & Control
  • Distributed Energy Resource (DER) Management
  • Demand Response & Load Management
  • Predictive Maintenance & Asset Optimization
  • Energy Trading & Market Participation
  • Cybersecurity & Grid Resilience

End Users Covered:

  • Utilities
  • Independent Power Producers (IPPs)
  • Industrial & Commercial Facilities
  • Smart Cities & Municipal Infrastructure
  • Residential & Community Energy Systems

Regions Covered:

  • North America
    • United States
    • Canada
    • Mexico
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Netherlands
    • Belgium
    • Sweden
    • Switzerland
    • Poland
    • Rest of Europe
  • Asia Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Indonesia
    • Thailand
    • Malaysia
    • Singapore
    • Vietnam
    • Rest of Asia Pacific
  • South America
    • Brazil
    • Argentina
    • Colombia
    • Chile
    • Peru
    • Rest of South America
  • Rest of the World (RoW)
    • Middle East
  • Saudi Arabia
  • United Arab Emirates
  • Qatar
  • Israel
  • Rest of Middle East
    • Africa
  • South Africa
  • Egypt
  • Morocco
  • Rest of Africa

What our report offers:

  • Market share assessments for the regional and country-level segments
  • Strategic recommendations for the new entrants
  • Covers Market data for the years 2023, 2024, 2025, 2026, 2027, 2028, 2030, 2032 and 2034
  • Market Trends (Drivers, Constraints, Opportunities, Threats, Challenges, Investment Opportunities, and recommendations)
  • Strategic recommendations in key business segments based on the market estimations
  • Competitive landscaping mapping the key common trends
  • Company profiling with detailed strategies, financials, and recent developments
  • Supply chain trends mapping the latest technological advancements

Free Customization Offerings:

All the customers of this report will be entitled to receive one of the following free customization options:

  • Company Profiling
    • Comprehensive profiling of additional market players (up to 3)
    • SWOT Analysis of key players (up to 3)
  • Regional Segmentation
    • Market estimations, Forecasts and CAGR of any prominent country as per the client's interest (Note: Depends on feasibility check)
  • Competitive Benchmarking
    • Benchmarking of key players based on product portfolio, geographical presence, and strategic alliances

Table of Contents

1 Executive Summary

  • 1.1 Market Snapshot and Key Highlights
  • 1.2 Growth Drivers, Challenges, and Opportunities
  • 1.3 Competitive Landscape Overview
  • 1.4 Strategic Insights and Recommendations

2 Research Framework

  • 2.1 Study Objectives and Scope
  • 2.2 Stakeholder Analysis
  • 2.3 Research Assumptions and Limitations
  • 2.4 Research Methodology
    • 2.4.1 Data Collection (Primary and Secondary)
    • 2.4.2 Data Modeling and Estimation Techniques
    • 2.4.3 Data Validation and Triangulation
    • 2.4.4 Analytical and Forecasting Approach

3 Market Dynamics and Trend Analysis

  • 3.1 Market Definition and Structure
  • 3.2 Key Market Drivers
  • 3.3 Market Restraints and Challenges
  • 3.4 Growth Opportunities and Investment Hotspots
  • 3.5 Industry Threats and Risk Assessment
  • 3.6 Technology and Innovation Landscape
  • 3.7 Emerging and High-Growth Markets
  • 3.8 Regulatory and Policy Environment
  • 3.9 Impact of COVID-19 and Recovery Outlook

4 Competitive and Strategic Assessment

  • 4.1 Porter's Five Forces Analysis
    • 4.1.1 Supplier Bargaining Power
    • 4.1.2 Buyer Bargaining Power
    • 4.1.3 Threat of Substitutes
    • 4.1.4 Threat of New Entrants
    • 4.1.5 Competitive Rivalry
  • 4.2 Market Share Analysis of Key Players
  • 4.3 Product Benchmarking and Performance Comparison

5 Global Grid Edge Intelligence and Edge Computing for Power Market, By Component

  • 5.1 Hardware
  • 5.2 Software
  • 5.3 Services

6 Global Grid Edge Intelligence and Edge Computing for Power Market, By Deployment Model

  • 6.1 On-Premises Edge Systems
  • 6.2 Cloud-Integrated Edge Systems
  • 6.3 Hybrid Architectures

7 Global Grid Edge Intelligence and Edge Computing for Power Market, By Application

  • 7.1 Grid Monitoring & Control
  • 7.2 Distributed Energy Resource (DER) Management
  • 7.3 Demand Response & Load Management
  • 7.4 Predictive Maintenance & Asset Optimization
  • 7.5 Energy Trading & Market Participation
  • 7.6 Cybersecurity & Grid Resilience

8 Global Grid Edge Intelligence and Edge Computing for Power Market, By End User

  • 8.1 Utilities
  • 8.2 Independent Power Producers (IPPs)
  • 8.3 Industrial & Commercial Facilities
  • 8.4 Smart Cities & Municipal Infrastructure
  • 8.5 Residential & Community Energy Systems

9 Global Grid Edge Intelligence and Edge Computing for Power Market, By Geography

  • 9.1 North America
    • 9.1.1 United States
    • 9.1.2 Canada
    • 9.1.3 Mexico
  • 9.2 Europe
    • 9.2.1 United Kingdom
    • 9.2.2 Germany
    • 9.2.3 France
    • 9.2.4 Italy
    • 9.2.5 Spain
    • 9.2.6 Netherlands
    • 9.2.7 Belgium
    • 9.2.8 Sweden
    • 9.2.9 Switzerland
    • 9.2.10 Poland
    • 9.2.11 Rest of Europe
  • 9.3 Asia Pacific
    • 9.3.1 China
    • 9.3.2 Japan
    • 9.3.3 India
    • 9.3.4 South Korea
    • 9.3.5 Australia
    • 9.3.6 Indonesia
    • 9.3.7 Thailand
    • 9.3.8 Malaysia
    • 9.3.9 Singapore
    • 9.3.10 Vietnam
    • 9.3.11 Rest of Asia Pacific
  • 9.4 South America
    • 9.4.1 Brazil
    • 9.4.2 Argentina
    • 9.4.3 Colombia
    • 9.4.4 Chile
    • 9.4.5 Peru
    • 9.4.6 Rest of South America
  • 9.5 Rest of the World (RoW)
    • 9.5.1 Middle East
      • 9.5.1.1 Saudi Arabia
      • 9.5.1.2 United Arab Emirates
      • 9.5.1.3 Qatar
      • 9.5.1.4 Israel
      • 9.5.1.5 Rest of Middle East
    • 9.5.2 Africa
      • 9.5.2.1 South Africa
      • 9.5.2.2 Egypt
      • 9.5.2.3 Morocco
      • 9.5.2.4 Rest of Africa

10 Strategic Market Intelligence

  • 10.1 Industry Value Network and Supply Chain Assessment
  • 10.2 White-Space and Opportunity Mapping
  • 10.3 Product Evolution and Market Life Cycle Analysis
  • 10.4 Channel, Distributor, and Go-to-Market Assessment

11 Industry Developments and Strategic Initiatives

  • 11.1 Mergers and Acquisitions
  • 11.2 Partnerships, Alliances, and Joint Ventures
  • 11.3 New Product Launches and Certifications
  • 11.4 Capacity Expansion and Investments
  • 11.5 Other Strategic Initiatives

12 Company Profiles

  • 12.1 Siemens AG
  • 12.2 Schneider Electric
  • 12.3 ABB Ltd.
  • 12.4 General Electric
  • 12.5 IBM Corporation
  • 12.6 Oracle Corporation
  • 12.7 Cisco Systems
  • 12.8 Hitachi Energy
  • 12.9 NVIDIA Corporation
  • 12.10 Intel Corporation
  • 12.11 Amazon Web Services
  • 12.12 Microsoft Corporation
  • 12.13 Google LLC
  • 12.14 Hewlett Packard Enterprise
  • 12.15 Dell Technologies
  • 12.16 Huawei Technologies
  • 12.17 Rockwell Automation
  • 12.18 Emerson Electric

List of Tables

  • Table 1 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Region (2023-2034) ($MN)
  • Table 2 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Component (2023-2034) ($MN)
  • Table 3 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Hardware (2023-2034) ($MN)
  • Table 4 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Software (2023-2034) ($MN)
  • Table 5 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Services (2023-2034) ($MN)
  • Table 6 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Deployment Model (2023-2034) ($MN)
  • Table 7 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By On-Premises Edge Systems (2023-2034) ($MN)
  • Table 8 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Cloud-Integrated Edge Systems (2023-2034) ($MN)
  • Table 9 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Hybrid Architectures (2023-2034) ($MN)
  • Table 10 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Application (2023-2034) ($MN)
  • Table 11 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Grid Monitoring & Control (2023-2034) ($MN)
  • Table 12 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Distributed Energy Resource (DER) Management (2023-2034) ($MN)
  • Table 13 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Demand Response & Load Management (2023-2034) ($MN)
  • Table 14 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Predictive Maintenance & Asset Optimization (2023-2034) ($MN)
  • Table 15 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Energy Trading & Market Participation (2023-2034) ($MN)
  • Table 16 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Cybersecurity & Grid Resilience (2023-2034) ($MN)
  • Table 17 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By End User (2023-2034) ($MN)
  • Table 18 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Utilities (2023-2034) ($MN)
  • Table 19 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Independent Power Producers (IPPs) (2023-2034) ($MN)
  • Table 20 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Industrial & Commercial Facilities (2023-2034) ($MN)
  • Table 21 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Smart Cities & Municipal Infrastructure (2023-2034) ($MN)
  • Table 22 Global Grid Edge Intelligence and Edge Computing for Power Market Outlook, By Residential & Community Energy Systems (2023-2034) ($MN)

Note: Tables for North America, Europe, APAC, South America, and Rest of the World (RoW) Regions are also represented in the same manner as above.