電力系統狀態估計器市場 - 全球行業規模、佔有率、趨勢、機會和預測，按解決方案類型、按部署類型、按最終用途行業、按地區和競爭細分，2020-2030 年

2024 年全球電力系統狀態估計器市值為 28.6 億美元，預計到 2030 年將達到 36.2 億美元，預測期內的複合年成長率為 3.87%。該市場的核心是透過估算整個網路的電壓振幅和相位角來確定電力系統即時運行狀況的解決方案。這些系統綜合來自 SCADA、PMU 和其他感測器網路的資料，以提供準確的態勢感知，這對於電網穩定性、效率和彈性至關重要。再生能源整合、電動車充電和分散電源導致電網內部複雜性日益增加，需要精確的電網監控。隨著公用事業公司朝向數位化、智慧電網生態系統邁進，對可靠狀態估計工具的需求也不斷成長。這些工具可以改善故障檢測、負載預測和系統最佳化。此外，致力於提高電網可靠性和能源效率的全球監管要求正在促使更廣泛地採用先進的估算技術，從傳統的內部解決方案到現代的雲端平台。

關鍵市場促進因素

再生能源併網

主要市場挑戰

數據不準確和測量不完整阻礙最佳系統性能

主要市場趨勢

擴大採用相量測量單元來增強電網可視性

目錄

第 1 章：產品概述

第2章：研究方法

第3章：執行摘要

第4章：顧客之聲

第5章：全球電力系統狀態估計器市場展望

• 市場規模和預測
  • 按價值
• 市場佔有率和預測
  • 依解決方案類型（線性狀態估計器、非線性狀態估計器、分佈狀態估計器、混合狀態估計器）
  • 依部署類型（本機、基於雲端）
  • 依最終用途產業（發電、輸電及配電設施、工業電力系統、再生能源工廠）
  • 按地區（北美、歐洲、南美、中東和非洲、亞太地區）
• 按公司分類（2024）
• 市場地圖

第6章：北美電力系統狀態估計器市場展望

• 市場規模和預測
• 市場佔有率和預測
• 北美：國家分析
  • 美國
  • 加拿大
  • 墨西哥

第7章：歐洲電力系統狀態估計器市場展望

• 市場規模和預測
• 市場佔有率和預測
• 歐洲：國家分析
  • 德國
  • 法國
  • 英國
  • 義大利
  • 西班牙

第8章：亞太電力系統狀態估計器市場展望

• 市場規模和預測
• 市場佔有率和預測
• 亞太地區：國家分析
  • 中國
  • 印度
  • 日本
  • 韓國
  • 澳洲

第9章：中東和非洲電力系統狀態估計器市場展望

• 市場規模和預測
• 市場佔有率和預測
• 中東和非洲：國家分析
  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第10章：南美洲電力系統狀態估計器市場展望

• 市場規模和預測
• 市場佔有率和預測
• 南美洲：國家分析
  • 巴西
  • 哥倫比亞
  • 阿根廷

第 11 章：市場動態

• 驅動程式
• 挑戰

第 12 章：市場趨勢與發展

• 合併與收購（如有）
• 產品發布（如有）
• 最新動態

第13章：公司簡介

• ABB Ltd.
• Siemens AG
• General Electric Company (GE Grid Solutions)
• Schneider Electric SE
• Open Systems International, Inc. (an Emerson Electric company)
• ETAP (Operation Technology, Inc.)
• EnergyHub Inc.
• Schweitzer Engineering Laboratories, Inc. (SEL)
• Eaton Corporation plc
• OSII (Open Systems International India Pvt. Ltd.)

第 14 章：策略建議

第15章調查會社について,免責事項

The Global Power System State Estimator Market was valued at USD 2.86 Billion in 2024 and is projected to reach USD 3.62 Billion by 2030, growing at a CAGR of 3.87% during the forecast period. This market centers on solutions used to determine the real-time operating condition of electrical power systems by estimating voltage magnitudes and phase angles across the network. These systems synthesize data from SCADA, PMUs, and other sensor networks to provide accurate situational awareness, which is essential for grid stability, efficiency, and resilience. Increasing complexity within power grids-driven by renewable energy integration, electric vehicle charging, and decentralized power sources-necessitates precise grid monitoring. As utilities move toward digital, smart grid ecosystems, the demand for reliable state estimation tools is rising. These tools enable improved fault detection, load forecasting, and system optimization. Additionally, global regulatory mandates focused on enhancing grid reliability and energy efficiency are prompting broader adoption of advanced estimation technologies, ranging from traditional on-premise solutions to modern, cloud-enabled platforms.

Key Market Drivers

Integration of Renewable Energy Sources into Power Grids

The global movement toward clean energy is intensifying the need for robust state estimation systems as renewables such as solar, wind, and hydro introduce operational complexity. Unlike conventional power generation, renewables are decentralized and variable, leading to inconsistent power flows. State estimators help manage these challenges by processing real-time data from SCADA systems, PMUs, and distributed sensors, ensuring grid balance and voltage accuracy. These tools are crucial for preventing outages and enhancing the integration of renewable power into existing infrastructure. As distributed energy resources, like rooftop solar and micro-wind turbines, become more prevalent, state estimators play a vital role in managing bidirectional energy flows. Their ability to forecast load patterns, detect faults, and maintain grid reliability is especially important in regions aggressively pursuing net-zero emissions goals. With growing renewable energy deployments across Asia-Pacific, Europe, and North America, the adoption of advanced state estimation solutions is expected to rise significantly.

Key Market Challenges

Data Inaccuracy and Incomplete Measurements Hindering Optimal System Performance

The accuracy of power system state estimation heavily depends on the quality and completeness of grid data. However, many power networks-especially older systems or those in developing regions-suffer from insufficient sensor deployment, outdated measurement tools, and uneven data collection practices. These limitations compromise the quality of input data, leading to unreliable estimations. Inadequately calibrated sensors or poorly located devices further reduce visibility into the network's real-time status. Compounding the issue is the inherent variability of renewable energy sources, which cause rapid and unpredictable shifts in grid conditions. Traditional systems often lack the capability to capture and respond to these fluctuations with high precision. Distribution networks not originally designed for bidirectional flows add another layer of complexity, making it difficult to generate accurate system-wide estimates and reducing the overall effectiveness of energy management strategies.

Key Market Trends

Increasing Adoption of Phasor Measurement Units for Enhanced Grid Visibility

The widespread deployment of Phasor Measurement Units (PMUs) is significantly improving the performance of state estimation tools. Unlike SCADA systems, which suffer from time delays and lower precision, PMUs deliver time-synchronized, high-resolution voltage and current measurements in real time. This enables utilities to model power system dynamics more accurately, capturing rapid events such as voltage drops or oscillations. The growing complexity introduced by renewable integration has elevated the role of PMUs in both transmission and critical distribution segments. By feeding precise data into hybrid and linear state estimation models, PMUs support better decision-making, fault mitigation, and demand forecasting. Their ability to enhance visibility across the entire power network makes them indispensable in modern grid operations, especially as utilities upgrade their infrastructure to meet the demands of digital transformation and clean energy targets.

Key Market Players

• ABB Ltd.
• Siemens AG
• General Electric Company (GE Grid Solutions)
• Schneider Electric SE
• Open Systems International, Inc. (an Emerson Electric company)
• ETAP (Operation Technology, Inc.)
• EnergyHub Inc.
• Schweitzer Engineering Laboratories, Inc. (SEL)
• Eaton Corporation plc
• OSII (Open Systems International India Pvt. Ltd.)

Report Scope:

In this report, the Global Power System State Estimator Market has been segmented into the following categories, in addition to the industry trends which have also been detailed below:

Power System State Estimator Market, By Solution Type:

• Linear State Estimator
• Non-Linear State Estimator
• Distribution State Estimator
• Hybrid State Estimator

Power System State Estimator Market, By Deployment Type:

• On-Premise
• Cloud-Based

Power System State Estimator Market, By End-Use Industry:

• Power Generation
• Transmission and Distribution Utilities
• Industrial Power Systems
• Renewable Energy Plants

Power System State Estimator Market, By Region:

• North America
  • United States
  • Canada
  • Mexico
• Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
• South America
  • Brazil
  • Argentina
  • Colombia
• Asia-Pacific
  • China
  • India
  • Japan
  • South Korea
  • Australia
• Middle East & Africa
  • Saudi Arabia
  • UAE
  • South Africa

Competitive Landscape

Company Profiles: Detailed analysis of the major companies present in the Global Power System State Estimator Market.

Available Customizations:

Global Power System State Estimator Market report with the given market data, TechSci Research offers customizations according to a company's specific needs. The following customization options are available for the report:

Company Information

• Detailed analysis and profiling of additional market players (up to five).

Table of Contents

1. Product Overview

• 1.1. Market Definition
• 1.2. Scope of the Market
  • 1.2.1. Markets Covered
  • 1.2.2. Years Considered for Study
  • 1.2.3. Key Market Segmentations

2. Research Methodology

• 2.1. Objective of the Study
• 2.2. Baseline Methodology
• 2.3. Key Industry Partners
• 2.4. Major Association and Secondary Sources
• 2.5. Forecasting Methodology
• 2.6. Data Triangulation & Validation
• 2.7. Assumptions and Limitations

3. Executive Summary

• 3.1. Overview of the Market
• 3.2. Overview of Key Market Segmentations
• 3.3. Overview of Key Market Players
• 3.4. Overview of Key Regions/Countries
• 3.5. Overview of Market Drivers, Challenges, and Trends

4. Voice of Customer

5. Global Power System State Estimator Market Outlook

• 5.1. Market Size & Forecast
  • 5.1.1. By Value
• 5.2. Market Share & Forecast
  • 5.2.1. By Solution Type (Linear State Estimator, Non-Linear State Estimator, Distribution State Estimator, Hybrid State Estimator)
  • 5.2.2. By Deployment Type (On-Premise, Cloud-Based)
  • 5.2.3. By End-Use Industry (Power Generation, Transmission and Distribution Utilities, Industrial Power Systems, Renewable Energy Plants)
  • 5.2.4. By Region (North America, Europe, South America, Middle East & Africa, Asia Pacific)
• 5.3. By Company (2024)
• 5.4. Market Map

6. North America Power System State Estimator Market Outlook

• 6.1. Market Size & Forecast
  • 6.1.1. By Value
• 6.2. Market Share & Forecast
  • 6.2.1. By Solution Type
  • 6.2.2. By Deployment Type
  • 6.2.3. By End-Use Industry
  • 6.2.4. By Country
• 6.3. North America: Country Analysis
  • 6.3.1. United States Power System State Estimator Market Outlook
    • 6.3.1.1. Market Size & Forecast
      • 6.3.1.1.1. By Value
    • 6.3.1.2. Market Share & Forecast
      • 6.3.1.2.1. By Solution Type
      • 6.3.1.2.2. By Deployment Type
      • 6.3.1.2.3. By End-Use Industry
  • 6.3.2. Canada Power System State Estimator Market Outlook
    • 6.3.2.1. Market Size & Forecast
      • 6.3.2.1.1. By Value
    • 6.3.2.2. Market Share & Forecast
      • 6.3.2.2.1. By Solution Type
      • 6.3.2.2.2. By Deployment Type
      • 6.3.2.2.3. By End-Use Industry
  • 6.3.3. Mexico Power System State Estimator Market Outlook
    • 6.3.3.1. Market Size & Forecast
      • 6.3.3.1.1. By Value
    • 6.3.3.2. Market Share & Forecast
      • 6.3.3.2.1. By Solution Type
      • 6.3.3.2.2. By Deployment Type
      • 6.3.3.2.3. By End-Use Industry

7. Europe Power System State Estimator Market Outlook

• 7.1. Market Size & Forecast
  • 7.1.1. By Value
• 7.2. Market Share & Forecast
  • 7.2.1. By Solution Type
  • 7.2.2. By Deployment Type
  • 7.2.3. By End-Use Industry
  • 7.2.4. By Country
• 7.3. Europe: Country Analysis
  • 7.3.1. Germany Power System State Estimator Market Outlook
    • 7.3.1.1. Market Size & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share & Forecast
      • 7.3.1.2.1. By Solution Type
      • 7.3.1.2.2. By Deployment Type
      • 7.3.1.2.3. By End-Use Industry
  • 7.3.2. France Power System State Estimator Market Outlook
    • 7.3.2.1. Market Size & Forecast
      • 7.3.2.1.1. By Value
    • 7.3.2.2. Market Share & Forecast
      • 7.3.2.2.1. By Solution Type
      • 7.3.2.2.2. By Deployment Type
      • 7.3.2.2.3. By End-Use Industry
  • 7.3.3. United Kingdom Power System State Estimator Market Outlook
    • 7.3.3.1. Market Size & Forecast
      • 7.3.3.1.1. By Value
    • 7.3.3.2. Market Share & Forecast
      • 7.3.3.2.1. By Solution Type
      • 7.3.3.2.2. By Deployment Type
      • 7.3.3.2.3. By End-Use Industry
  • 7.3.4. Italy Power System State Estimator Market Outlook
    • 7.3.4.1. Market Size & Forecast
      • 7.3.4.1.1. By Value
    • 7.3.4.2. Market Share & Forecast
      • 7.3.4.2.1. By Solution Type
      • 7.3.4.2.2. By Deployment Type
      • 7.3.4.2.3. By End-Use Industry
  • 7.3.5. Spain Power System State Estimator Market Outlook
    • 7.3.5.1. Market Size & Forecast
      • 7.3.5.1.1. By Value
    • 7.3.5.2. Market Share & Forecast
      • 7.3.5.2.1. By Solution Type
      • 7.3.5.2.2. By Deployment Type
      • 7.3.5.2.3. By End-Use Industry

8. Asia Pacific Power System State Estimator Market Outlook

• 8.1. Market Size & Forecast
  • 8.1.1. By Value
• 8.2. Market Share & Forecast
  • 8.2.1. By Solution Type
  • 8.2.2. By Deployment Type
  • 8.2.3. By End-Use Industry
  • 8.2.4. By Country
• 8.3. Asia Pacific: Country Analysis
  • 8.3.1. China Power System State Estimator Market Outlook
    • 8.3.1.1. Market Size & Forecast
      • 8.3.1.1.1. By Value
    • 8.3.1.2. Market Share & Forecast
      • 8.3.1.2.1. By Solution Type
      • 8.3.1.2.2. By Deployment Type
      • 8.3.1.2.3. By End-Use Industry
  • 8.3.2. India Power System State Estimator Market Outlook
    • 8.3.2.1. Market Size & Forecast
      • 8.3.2.1.1. By Value
    • 8.3.2.2. Market Share & Forecast
      • 8.3.2.2.1. By Solution Type
      • 8.3.2.2.2. By Deployment Type
      • 8.3.2.2.3. By End-Use Industry
  • 8.3.3. Japan Power System State Estimator Market Outlook
    • 8.3.3.1. Market Size & Forecast
      • 8.3.3.1.1. By Value
    • 8.3.3.2. Market Share & Forecast
      • 8.3.3.2.1. By Solution Type
      • 8.3.3.2.2. By Deployment Type
      • 8.3.3.2.3. By End-Use Industry
  • 8.3.4. South Korea Power System State Estimator Market Outlook
    • 8.3.4.1. Market Size & Forecast
      • 8.3.4.1.1. By Value
    • 8.3.4.2. Market Share & Forecast
      • 8.3.4.2.1. By Solution Type
      • 8.3.4.2.2. By Deployment Type
      • 8.3.4.2.3. By End-Use Industry
  • 8.3.5. Australia Power System State Estimator Market Outlook
    • 8.3.5.1. Market Size & Forecast
      • 8.3.5.1.1. By Value
    • 8.3.5.2. Market Share & Forecast
      • 8.3.5.2.1. By Solution Type
      • 8.3.5.2.2. By Deployment Type
      • 8.3.5.2.3. By End-Use Industry

9. Middle East & Africa Power System State Estimator Market Outlook

• 9.1. Market Size & Forecast
  • 9.1.1. By Value
• 9.2. Market Share & Forecast
  • 9.2.1. By Solution Type
  • 9.2.2. By Deployment Type
  • 9.2.3. By End-Use Industry
  • 9.2.4. By Country
• 9.3. Middle East & Africa: Country Analysis
  • 9.3.1. Saudi Arabia Power System State Estimator Market Outlook
    • 9.3.1.1. Market Size & Forecast
      • 9.3.1.1.1. By Value
    • 9.3.1.2. Market Share & Forecast
      • 9.3.1.2.1. By Solution Type
      • 9.3.1.2.2. By Deployment Type
      • 9.3.1.2.3. By End-Use Industry
  • 9.3.2. UAE Power System State Estimator Market Outlook
    • 9.3.2.1. Market Size & Forecast
      • 9.3.2.1.1. By Value
    • 9.3.2.2. Market Share & Forecast
      • 9.3.2.2.1. By Solution Type
      • 9.3.2.2.2. By Deployment Type
      • 9.3.2.2.3. By End-Use Industry
  • 9.3.3. South Africa Power System State Estimator Market Outlook
    • 9.3.3.1. Market Size & Forecast
      • 9.3.3.1.1. By Value
    • 9.3.3.2. Market Share & Forecast
      • 9.3.3.2.1. By Solution Type
      • 9.3.3.2.2. By Deployment Type
      • 9.3.3.2.3. By End-Use Industry

10. South America Power System State Estimator Market Outlook

• 10.1. Market Size & Forecast
  • 10.1.1. By Value
• 10.2. Market Share & Forecast
  • 10.2.1. By Solution Type
  • 10.2.2. By Deployment Type
  • 10.2.3. By End-Use Industry
  • 10.2.4. By Country
• 10.3. South America: Country Analysis
  • 10.3.1. Brazil Power System State Estimator Market Outlook
    • 10.3.1.1. Market Size & Forecast
      • 10.3.1.1.1. By Value
    • 10.3.1.2. Market Share & Forecast
      • 10.3.1.2.1. By Solution Type
      • 10.3.1.2.2. By Deployment Type
      • 10.3.1.2.3. By End-Use Industry
  • 10.3.2. Colombia Power System State Estimator Market Outlook
    • 10.3.2.1. Market Size & Forecast
      • 10.3.2.1.1. By Value
    • 10.3.2.2. Market Share & Forecast
      • 10.3.2.2.1. By Solution Type
      • 10.3.2.2.2. By Deployment Type
      • 10.3.2.2.3. By End-Use Industry
  • 10.3.3. Argentina Power System State Estimator Market Outlook
    • 10.3.3.1. Market Size & Forecast
      • 10.3.3.1.1. By Value
    • 10.3.3.2. Market Share & Forecast
      • 10.3.3.2.1. By Solution Type
      • 10.3.3.2.2. By Deployment Type
      • 10.3.3.2.3. By End-Use Industry

11. Market Dynamics

• 11.1. Drivers
• 11.2. Challenges

12. Market Trends and Developments

• 12.1. Merger & Acquisition (If Any)
• 12.2. Product Launches (If Any)
• 12.3. Recent Developments

13. Company Profiles

• 13.1. ABB Ltd.
  • 13.1.1. Business Overview
  • 13.1.2. Key Revenue and Financials
  • 13.1.3. Recent Developments
  • 13.1.4. Key Personnel
  • 13.1.5. Key Product/Services Offered
• 13.2. Siemens AG
• 13.3. General Electric Company (GE Grid Solutions)
• 13.4. Schneider Electric SE
• 13.5. Open Systems International, Inc. (an Emerson Electric company)
• 13.6. ETAP (Operation Technology, Inc.)
• 13.7. EnergyHub Inc.
• 13.8. Schweitzer Engineering Laboratories, Inc. (SEL)
• 13.9. Eaton Corporation plc
• 13.10. OSII (Open Systems International India Pvt. Ltd.)

14. Strategic Recommendations

15. About Us & Disclaimer