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市場調查報告書
商品編碼
1773359

智慧電網分析市場機會、成長動力、產業趨勢分析及 2025 - 2034 年預測

Smart Grid Analytics Market Opportunity, Growth Drivers, Industry Trend Analysis, and Forecast 2025 - 2034

出版日期: | 出版商: Global Market Insights Inc. | 英文 121 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024 年全球智慧電網分析市場價值為 81 億美元,預計到 2034 年將以 5.3% 的複合年成長率成長,達到 135 億美元。這一穩步成長得益於先進智慧電網技術的日益普及、全球脫碳的推動以及對可靠智慧能源基礎設施日益成長的需求。公用事業公司更加重視分析,以管理現代電網日益複雜的問題並有效整合再生能源。隨著能源消耗的成長和營運需求的動態化,公用事業公司正在採用智慧電網分析來增強電網穩定性、監控即時使用情況並最佳化資產性能。物聯網和雲端技術的快速發展使得各種規模的公用事業公司都能更輕鬆地獲得和擴展分析解決方案。市場參與者正在積極建立合作夥伴關係、進行收購和開展合作,以增強其數位化能力並拓寬其影響力。

智慧電網分析市場 - IMG1

轉向以數據為中心的能源管理系統還能加快故障檢測速度、實現預測性維護並提高客戶滿意度——這些因素對於電網現代化至關重要。透過利用即時資料分析,公用事業公司可以在電網行為異常升級為嚴重故障之前識別它們,從而最大限度地減少停機和服務中斷。這些先進的系統使能源供應商能夠主動維護設備、延長資產使用壽命並最佳化整個網路的負載平衡。反過來,這又提高了配電的整體可靠性和效率。

市場範圍
起始年份 2024
預測年份 2025-2034
起始值 81億美元
預測值 135億美元
複合年成長率 5.3%

預計到2034年,服務業規模將達45億美元。這一成長主要源於對系統實施、諮詢和持續支援方面專家指導需求的不斷成長。隨著能源產業數位轉型的加速,越來越多的企業選擇託管服務來應對人工智慧、雲端運算和物聯網等新技術。這些服務確保無縫整合和持續最佳化,尤其是在確保營運安全和滿足不斷變化的監管標準方面。

預計到2034年,AMI分析領域的複合年成長率將達到5.2%,這主要得益於其在提高營運效率、管理分散式能源資源和支援即時決策方面的優勢。透過利用智慧電錶的詳細資料,公用事業公司可以最佳化能源分配、減少停機時間並提高電網可靠性。清潔能源的普及和對永續性的日益重視,持續增強了對AMI分析的需求,尤其是在監管機構推動更智慧的能源管理和客戶互動工具不斷擴展的背景下。

2024年,美國智慧電網分析市場規模達23億美元。這一成長勢頭源於基礎設施升級投資的不斷成長、智慧電網解決方案的廣泛部署以及可再生能源整合的推動。進階分析對於監控複雜的電網活動、提高系統效率和即時維護電網安全至關重要。政府支持的現代化計劃以及數位工具的日益普及,進一步加速了美國市場的成長。

西門子、施耐德電機、霍尼韋爾和Itron等產業領導企業均在塑造電網分析的未來發展中發揮重要作用。智慧電網分析市場的頂尖公司正在透過定向收購、技術投資和策略聯盟來鞏固其市場地位。許多公司正在投資人工智慧驅動的分析平台和可擴展的雲端系統,以幫助公用事業公司實現即時視覺性、預測洞察和營運自動化。與公用事業供應商的合作能夠提供符合當地監管要求和基礎設施挑戰的客製化解決方案。各公司也正在增強網路安全功能,並推廣可互操作系統,以保護整個電網網路的資料安全。全球擴張計畫正在進行中,並在新興市場進行在地化部署,以滿足日益成長的智慧基礎設施需求。

目錄

第1章:方法論與範圍

第2章:執行摘要

第3章:行業洞察

  • 產業生態系統分析
  • 監管格局
  • 產業衝擊力
    • 成長動力
    • 產業陷阱與挑戰
  • 成長潛力分析
  • 波特的分析
  • PESTEL分析

第4章:競爭格局

  • 戰略儀表板
  • 創新與永續發展格局

第5章:市場規模及預測:依組件分類,2021 - 2034 年

  • 主要趨勢
  • 軟體
  • 服務

第6章:市場規模及預測:依應用,2021 - 2034

  • 主要趨勢
  • AMI 分析
  • 負載預測和需量反應
  • 電網監控
  • 預測性維護
  • 其他

第7章:市場規模及預測:依類型,2021 - 2034

  • 主要趨勢
  • 描述性分析
  • 診斷分析
  • 預測分析
  • 規範分析

第8章:市場規模及預測:按地區,2021 - 2034

  • 主要趨勢
  • 北美洲
    • 美國
    • 加拿大
    • 墨西哥
  • 歐洲
    • 英國
    • 法國
    • 德國
    • 西班牙
    • 義大利
  • 亞太地區
    • 中國
    • 澳洲
    • 日本
    • 韓國
    • 印度
  • 中東和非洲
    • 沙烏地阿拉伯
    • 阿拉伯聯合大公國
    • 南非
  • 拉丁美洲
    • 巴西
    • 智利

第9章:公司簡介

  • Accenture
  • Anritsu
  • Capgemini
  • Ericsson
  • GE Vernova
  • Hive Power
  • Honeywell
  • IBM
  • Itron
  • Kamstrup
  • Landis + GYR
  • Oracle
  • SAP
  • Schneider Electric
  • Sentient Energy
  • Siemens
簡介目錄
Product Code: 14181

The Global Smart Grid Analytics Market was valued at USD 8.1 billion in 2024 and is estimated to grow at a CAGR of 5.3% to reach USD 13.5 billion by 2034. This steady growth is driven by the rising adoption of advanced smart grid technologies, the global push toward decarbonization, and the increasing demand for reliable and intelligent energy infrastructure. Utilities are placing greater emphasis on analytics to manage the rising complexities of modern power networks and to integrate renewable energy efficiently. As energy consumption grows and operational demands become more dynamic, utilities are adopting smart grid analytics to enhance grid stability, monitor real-time usage, and optimize asset performance. The rapid expansion of IoT and cloud technologies has made analytics solutions more accessible and scalable for utilities of all sizes. Players in the market are actively forming partnerships, executing acquisitions, and entering collaborations to boost their digital capabilities and broaden their reach.

Smart Grid Analytics Market - IMG1

The shift toward data-centric energy management systems also enables faster fault detection, predictive maintenance, and better customer satisfaction-factors crucial for grid modernization. By leveraging real-time data analytics, utilities can identify anomalies in grid behavior before they escalate into critical failures, minimizing downtime and service disruptions. These advanced systems empower energy providers to proactively maintain equipment, extend asset lifespans, and optimize load balancing across the network. In turn, this enhances the overall reliability and efficiency of power distribution.

Market Scope
Start Year2024
Forecast Year2025-2034
Start Value$8.1 Billion
Forecast Value$13.5 Billion
CAGR5.3%

The services segment is projected to reach USD 4.5 billion by 2034. This growth is being fueled by increasing demand for expert guidance in system implementation, consulting, and ongoing support. As digital transformation accelerates across the energy sector, organizations are increasingly turning to managed services to handle new technologies including artificial intelligence, cloud, and IoT. These services ensure seamless integration and sustained optimization, particularly in securing operations and meeting evolving regulatory standards.

AMI analytics segment is expected to grow at a CAGR of 5.2% through 2034, largely due to its benefits in improving operational efficiency, managing distributed energy resources, and supporting real-time decision-making. By leveraging detailed data from smart meters, utilities can fine-tune energy distribution, reduce downtime, and boost grid reliability. The rise in clean energy adoption and a stronger focus on sustainability continues to strengthen demand for AMI analytics, especially as regulatory bodies push for smarter energy management and customer engagement tools expand.

United States Smart Grid Analytics Market was valued at USD 2.3 billion in 2024. This momentum stems from rising investment in infrastructure upgrades, widespread deployment of smart grid solutions, and the drive to integrate renewables. Advanced analytics are becoming essential to monitor complex grid activity, enhance system efficiency, and maintain grid security in real time. Government-backed modernization initiatives and the growing use of digital tools are further accelerating the US market's growth.

Key industry leaders include Siemens, Schneider Electric, Honeywell, and Itron, all playing a significant role in shaping the future of grid analytics. Top companies in the smart grid analytics market are reinforcing their presence through targeted acquisitions, technology investments, and strategic alliances. Many are investing in AI-powered analytics platforms and scalable cloud-based systems to help utilities achieve real-time visibility, predictive insights, and operational automation. Collaborations with utility providers enable tailored solutions that align with local regulatory demands and infrastructure challenges. Firms are also enhancing cybersecurity features and promoting interoperable systems to secure data across grid networks. Global expansion efforts are underway, with localized deployments in emerging markets to meet the growing demand for smart infrastructure.

Table of Contents

Chapter 1 Methodology & Scope

  • 1.1 Market definitions
  • 1.2 Base estimates & calculations
  • 1.3 Forecast calculation
  • 1.4 Data sources
    • 1.4.1 Primary
    • 1.4.2 Secondary
      • 1.4.2.1 Paid
      • 1.4.2.2 Public

Chapter 2 Executive Summary

  • 2.1 Industry synopsis, 2021 - 2034

Chapter 3 Industry Insights

  • 3.1 Industry ecosystem analysis
  • 3.2 Regulatory landscape
  • 3.3 Industry impact forces
    • 3.3.1 Growth drivers
    • 3.3.2 Industry pitfalls & challenges
  • 3.4 Growth potential analysis
  • 3.5 Porter's analysis
    • 3.5.1 Bargaining power of suppliers
    • 3.5.2 Bargaining power of buyers
    • 3.5.3 Threat of new entrants
    • 3.5.4 Threat of substitutes
  • 3.6 PESTEL analysis

Chapter 4 Competitive landscape, 2024

  • 4.1 Strategic dashboard
  • 4.2 Innovation & sustainability landscape

Chapter 5 Market Size and Forecast, By Component, 2021 - 2034 (USD Million)

  • 5.1 Key trends
  • 5.2 Software
  • 5.3 Services

Chapter 6 Market Size and Forecast, By Application, 2021 - 2034 (USD Million)

  • 6.1 Key trends
  • 6.2 AMI analytics
  • 6.3 Load forecasting and demand response
  • 6.4 Grid monitoring
  • 6.5 Predictive maintenance
  • 6.6 Others

Chapter 7 Market Size and Forecast, By Type, 2021 - 2034 (USD Million)

  • 7.1 Key trends
  • 7.2 Descriptive analytics
  • 7.3 Diagnostic analytics
  • 7.4 Predictive analytics
  • 7.5 Prescriptive analytics

Chapter 8 Market Size and Forecast, By Region, 2021 - 2034 (USD Million)

  • 8.1 Key trends
  • 8.2 North America
    • 8.2.1 U.S.
    • 8.2.2 Canada
    • 8.2.3 Mexico
  • 8.3 Europe
    • 8.3.1 UK
    • 8.3.2 France
    • 8.3.3 Germany
    • 8.3.4 Spain
    • 8.3.5 Italy
  • 8.4 Asia Pacific
    • 8.4.1 China
    • 8.4.2 Australia
    • 8.4.3 Japan
    • 8.4.4 South Korea
    • 8.4.5 India
  • 8.5 Middle East & Africa
    • 8.5.1 Saudi Arabia
    • 8.5.2 UAE
    • 8.5.3 South Africa
  • 8.6 Latin America
    • 8.6.1 Brazil
    • 8.6.2 Chile

Chapter 9 Company Profiles

  • 9.1 Accenture
  • 9.2 Anritsu
  • 9.3 Capgemini
  • 9.4 Ericsson
  • 9.5 GE Vernova
  • 9.6 Hive Power
  • 9.7 Honeywell
  • 9.8 IBM
  • 9.9 Itron
  • 9.10 Kamstrup
  • 9.11 Landis + GYR
  • 9.12 Oracle
  • 9.13 SAP
  • 9.14 Schneider Electric
  • 9.15 Sentient Energy
  • 9.16 Siemens