电力系统状态估计器市场 - 全球行业规模、份额、趋势、机会和预测，按解决方案类型、按部署类型、按最终用途行业、按地区和竞争细分，2020-2030 年

2024 年全球电力系统状态估计器市值为 28.6 亿美元，预计到 2030 年将达到 36.2 亿美元，预测期内的复合年增长率为 3.87%。该市场的核心是透过估算整个网路的电压振幅和相位角来确定电力系统即时运行状况的解决方案。这些系统综合来自 SCADA、PMU 和其他感测器网路的资料，以提供准确的态势感知，这对于电网稳定性、效率和弹性至关重要。再生能源整合、电动车充电和分散电源导致电网内部复杂性日益增加，需要精确的电网监控。随着公用事业公司朝向数位化、智慧电网生态系统迈进，对可靠状态估计工具的需求也不断增长。这些工具可以改善故障检测、负载预测和系统最佳化。此外，致力于提高电网可靠性和能源效率的全球监管要求正在促使更广泛地采用先进的估算技术，从传统的内部解决方案到现代的云端平台。

关键市场驱动因素

再生能源併网

主要市场挑战

数据不准确和测量不完整阻碍最佳系统性能

主要市场趋势

越来越多地采用相量测量单元来增强电网可视性

目录

第 1 章：产品概述

第二章：研究方法

第三章：执行摘要

第四章：顾客之声

第五章：全球电力系统状态估计器市场展望

• 市场规模和预测
  • 按价值
• 市场占有率和预测
  • 依解决方案类型（线性状态估计器、非线性状态估计器、分布状态估计器、混合状态估计器）
  • 依部署类型（本机、基于云端）
  • 依最终用途产业（发电、输电及配电设施、工业电力系统、再生能源工厂）
  • 按地区（北美、欧洲、南美、中东和非洲、亚太地区）
• 按公司分类（2024）
• 市场地图

第六章：北美电力系统状态估计器市场展望

• 市场规模和预测
• 市场占有率和预测
• 北美：国家分析
  • 美国
  • 加拿大
  • 墨西哥

第七章：欧洲电力系统状态估计器市场展望

• 市场规模和预测
• 市场占有率和预测
• 欧洲：国家分析
  • 德国
  • 法国
  • 英国
  • 义大利
  • 西班牙

第八章：亚太电力系统状态估计器市场展望

• 市场规模和预测
• 市场占有率和预测
• 亚太地区：国家分析
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳洲

第九章：中东和非洲电力系统状态估计器市场展望

• 市场规模和预测
• 市场占有率和预测
• 中东和非洲：国家分析
  • 沙乌地阿拉伯
  • 阿联酋
  • 南非

第十章：南美洲电力系统状态估计器市场展望

• 市场规模和预测
• 市场占有率和预测
• 南美洲：国家分析
  • 巴西
  • 哥伦比亚
  • 阿根廷

第 11 章：市场动态

• 驱动程式
• 挑战

第 12 章：市场趋势与发展

• 合併与收购（如有）
• 产品发布（如有）
• 最新动态

第十三章：公司简介

• 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：策略建议

第15章调查会社について・免责事项

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