電力系統状態推定装置市場- 世界の産業規模、シェア、動向、機会、予測、ソリューションタイプ別、展開タイプ別、最終用途産業別、地域別セグメント、競合、2020年～2030年

電力系統状態推定装置の世界市場規模は2024年に28億6,000万米ドル、2030年には36億2,000万米ドルに達すると予測され、予測期間中のCAGRは3.87%で成長します。

この市場は、ネットワーク全体の電圧マグニチュードと位相角を推定することによって、電力系統のリアルタイムの運転状態を決定するために使用されるソリューションが中心です。これらのシステムは、SCADA、PMU、その他のセンサーネットワークからのデータを統合し、グリッドの安定性、効率性、回復力に不可欠な正確な状況認識を提供します。再生可能エネルギーの統合、電気自動車の充電、分散型電源によって電力網の複雑さが増しているため、正確なグリッド監視が必要です。電力会社がデジタル化されたスマートグリッドのエコシステムに移行するにつれ、信頼性の高い状態推定ツールの需要が高まっています。これらのツールは、故障検出、負荷予測、システム最適化の改善を可能にします。さらに、グリッドの信頼性とエネルギー効率の強化に焦点を当てた世界の規制の義務化により、従来のオンプレミス・ソリューションから最新のクラウド対応プラットフォームまで、高度な推定技術の採用が広がっています。

市場促進要因

再生可能エネルギー源の電力網への統合

主な市場課題

最適なシステム性能を妨げるデータの不正確さと不完全な測定

主な市場動向

グリッド可視性向上のための位相計測ユニットの採用増加

目次

第1章 概要

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

第5章 世界の電力系統状態推定装置市場展望

• 市場規模・予測
  • 金額別
• 市場シェア・予測
  • ソリューションタイプ別（線形状態推定装置、非線形状態推定装置、分布状態推定装置、ハイブリッド状態推定装置）
  • 展開タイプ別（オンプレミス、クラウドベース）
  • 最終用途産業別（発電、送電、配電公社、産業用電力システム、再生可能エネルギープラント）
  • 地域別（北米、欧州、南米、中東・アフリカ、アジア太平洋）
• 企業別（2024）
• 市場マップ

第6章 北米の電力系統状態推定装置市場展望

• 市場規模・予測
• 市場シェア・予測
• 北米：国別分析
  • 米国
  • カナダ
  • メキシコ

第7章 欧州の電力系統状態推定装置市場展望

• 市場規模・予測
• 市場シェア・予測
• 欧州：国別分析
  • ドイツ
  • フランス
  • 英国
  • イタリア
  • スペイン

第8章 アジア太平洋地域の電力系統状態推定装置市場展望

• 市場規模・予測
• 市場シェア・予測
• アジア太平洋地域：国別分析
  • 中国
  • インド
  • 日本
  • 韓国
  • オーストラリア

第9章 中東・アフリカの電力系統状態推定装置市場展望

• 市場規模・予測
• 市場シェア・予測
• 中東・アフリカ：国別分析
  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第10章 南米の電力系統状態推定装置市場展望

• 市場規模・予測
• 市場シェア・予測
• 南米：国別分析
  • ブラジル
  • コロンビア
  • アルゼンチン

第11章 市場力学

• 促進要因
• 課題

第12章 市場動向と発展

• 合併と買収
• 製品上市
• 最近の動向

第13章 企業プロファイル

• 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 戦略的提言

第15章 調査会社について・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