Power System State Estimator Research:CAGR of 7.6% during the forecast period

QY Research Inc. (Global Market Report Research Publisher) announces the release of 2025 latest report "Power System State Estimator- Global Market Share and Ranking, Overall Sales and Demand Forecast 2026-2032". Based on current situation and impact historical analysis (2020-2024) and forecast calculations (2026-2032), this report provides a comprehensive analysis of the global Power System State Estimator market, including market size, share, demand, industry development status, and forecasts for the next few years.

The global market for Power System State Estimator was estimated to be worth US$ 907 million in 2024 and is forecast to a readjusted size of US$ 1516 million by 2031 with a CAGR of 7.6% during the forecast period 2025-2031.

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1.Definition of Homomorphic encryption (HE)
State Estimation (SE) is a process to estimate the electrical state of a network and find an approximation for the unknown state variables in the system obtained from imperfect measurements.

State estimator is an important tool for online monitoring, analysis and feedback control of power systems. State estimation is used in all Energy Management Systems (EMS) to identify the present operating state of a system, and is the core of distribution system analysis software. It can be also used in power system simulation software.

2.Global Market Size, Type and Application Market Status and Forecast (2020-2031)
According to the new market research report "Global Power System State Estimator Market Report 2025-2031", published by QYResearch, the global Power System State Estimator market size is projected to reach USD 1.12 billion by 2031, at a CAGR of 7.6% during the forecast period.

Figure 2. Global Homomorphic encryption (HE) Market Size (US$ Million), 2020-2031

Power System State Estimator

Above data is based on report from QYResearch: Global Homomorphic encryption (HE) Market Report 2025-2031

Figure 3. Global Homomorphic encryption (HE) Top 25 Players Ranking and Market Share

Power System State Estimator

Above data is based on report from QYResearch: Global Homomorphic encryption (HE) Market Report 2025-2031

According to QYResearch Top Players Research Center, the global key manufacturers of Power System State Estimator include ABB, Siemens, Eaton (CYME), Schneider Electric, General Electric, etc. In 2024, the global top five players had a share approximately 61.9% in terms of revenue.

Figure 4. Homomorphic encryption (HE), Global Market Size, Split by Product Type Segment

Power System State Estimator

Based on or includes research from QYResearch: Global Homomorphic encryption (HE) Market Report 2025-2031.

In terms of product type, currently Weighted Lease Square (WLS) Method is the largest segment, hold a share of 90.6%.

In terms of product application, currently Transmission Network are the largest segment, hold a share of 77.0%.

3.Market development trend of Homomorphic encryption (HE)
3.1 Industry Development Trends
1) Enhanced Intelligence and Automation

With the development of artificial intelligence and big data technologies, power system state estimators will become more intelligent, capable of automatically analyzing and predicting the power grid's operating status. Through machine learning and deep learning algorithms, the system can analyze large amounts of historical data in real time, improving the accuracy and real-time performance of state estimation. Simultaneously, the intelligent system can automatically adjust parameter settings, reducing manual intervention and improving the power grid's operational efficiency and security.

2) Integration of Real-Time Monitoring and Big Data Analysis

The operation of power systems increasingly relies on big data analysis and real-time monitoring. In the future, power system state estimators will be deeply integrated with Internet of Things (IoT) devices, utilizing sensors and smart devices to collect data in real time and perform big data analysis. Through real-time monitoring of all aspects of the power grid, the system can more accurately identify potential faults or instability factors, ensuring the efficient and safe operation of the power grid.

3) Challenges Brought by Renewable Energy Integration

With the integration of renewable energy sources such as wind and solar power, the operating environment of the power system becomes more complex. Due to the intermittency and uncertainty of renewable energy, power system state estimators need to have stronger adaptability and be able to accurately estimate and predict the system's operating status. In the future, power state estimators will need to process data from more sources and perform more refined calculations and analyses to ensure grid stability.

4) The Integrated Development of Distributed Energy Resources and Microgrids

With the rapid development of distributed energy resources and microgrids, the structure of power systems is becoming more decentralized and complex. Power system state estimators will need to support more flexible distributed architectures and be able to estimate the operating status of microgrids and distributed energy resources in real time. In the future, power state estimators will place greater emphasis on the collaborative management of distributed energy resources, supporting multi-level and multi-dimensional power data analysis to achieve more efficient energy management.

3.2 Market Drivers
1) Promotion and Development of Smart Grids

With the continuous promotion of smart grid technology, the automation and informatization levels of power systems are constantly improving, making the application of state estimators in the power grid increasingly important. Smart grids can monitor the operating status of the power system in real time, requiring state estimators to have higher accuracy and real-time performance to ensure efficient operation and security of the power grid. This trend has driven the demand for high-performance state estimators.

2) Widespread Integration of Renewable Energy

With the rapid development of renewable energy sources such as wind and solar power, the operation of power systems has become more complex and unstable. The volatility and intermittency of renewable energy require power system state estimators to reflect the dynamic changes of the power grid in real time and accurately. Especially with the integration of a high proportion of renewable energy, state estimators need to have stronger adaptability and predictive capabilities, thus driving the development of this technology.

3) The Need to Improve the Reliability and Security of Power Systems

The reliability and security of power systems directly affect the stable operation of the social economy. To improve the power system's ability to predict faults and reduce the impact of faults, state estimators, as a core tool for power grid dispatch and protection, are receiving increasing attention. With the increasing complexity of power systems, accurate state estimation and real-time monitoring have become key factors in ensuring system reliability.

4) Policy and Regulatory Impetus and Energy Transition

Governments worldwide are increasingly focusing on clean energy utilization, improved energy efficiency, and reduced carbon emissions in their power system management. Against this backdrop, power system state estimators need to be implemented in conjunction with policies such as smart grid construction and low-carbon energy integration within national energy strategies. These policies drive demand for more accurate and efficient state estimation technologies, thereby propelling market growth.

3.3 Market Challenges
1) Data Uncertainty and Measurement Errors

The accuracy of power system state estimators relies on data provided by various sensors, measurement devices, and communication systems. However, in actual operation, problems such as measurement errors, data delays, and signal loss exist, especially in distribution networks and distributed energy scenarios, where data sources are complex and of varying quality. These factors lead to uncertainty in state estimation results, affecting the accuracy of grid dispatching and operation, necessitating improvements through algorithm optimization and data cleaning techniques.

2) System Complexity Due to Renewable Energy Integration

With the large-scale grid integration of renewable energy sources such as wind and solar power, the power system exhibits high volatility and dynamism. Traditional state estimation algorithms are primarily designed for stable grid structures and struggle to cope with frequent power fluctuations and the randomness of distributed energy sources. Future state estimators need stronger real-time performance and robustness to adapt to the operational uncertainties and power flow changes brought about by new energy sources.

3) Cybersecurity and Information Protection Challenges

In the context of the deep integration of smart grid and IoT technologies, state estimators need to process large amounts of real-time data from communication networks, making the system more vulnerable to security threats such as network attacks, data tampering, and hacker intrusions. Data tampering directly impacts power grid dispatching decisions, potentially leading to system instability or even widespread blackouts. Therefore, establishing security mechanisms and encrypted communication systems is an urgent need.

4) Balancing Computational Complexity and Real-Time Performance

With the expansion of power grid scale and the surge in data volume, the computational complexity of state estimation algorithms has increased significantly. Achieving millisecond-level response while maintaining estimation accuracy is a key challenge for future technological development. The introduction of high-performance computing, parallel algorithms, and artificial intelligence will be important directions for addressing this challenge.

The report provides a detailed analysis of the market size, growth potential, and key trends for each segment. Through detailed analysis, industry players can identify profit opportunities, develop strategies for specific customer segments, and allocate resources effectively.

The Power System State Estimator market is segmented as below:
By Company
ABB
Siemens
Schneider Electric
AspenTech
GE Vernova
Resource Innovations
ETAP Software
BCP Switzerland (Neplan)
Eaton
DIgSILENT
Energy Computer Systems
EPFL (Simsen)
Engie Impat (Eurostag)
PowerWorld
Survalent

Segment by Type
Weighted Lease Square (WLS) Method
Interior Point (IP) Method
Others

Segment by Application
Transmission Network
Distribution Network

Each chapter of the report provides detailed information for readers to further understand the Power System State Estimator market:

Chapter 1: Introduces the report scope of the Power System State Estimator report, global total market size (valve, volume and price). This chapter also provides the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by manufacturers in the industry, and the analysis of relevant policies in the industry. (2021-2032)
Chapter 2: Detailed analysis of Power System State Estimator manufacturers competitive landscape, price, sales and revenue market share, latest development plan, merger, and acquisition information, etc. (2021-2026)
Chapter 3: Provides the analysis of various Power System State Estimator market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments. (2021-2032)
Chapter 4: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.(2021-2032)
Chapter 5: Sales, revenue of Power System State Estimator in regional level. It provides a quantitative analysis of the market size and development potential of each region and introduces the market development, future development prospects, market space, and market size of each country in the world..(2021-2032)
Chapter 6: Sales, revenue of Power System State Estimator in country level. It provides sigmate data by Type, and by Application for each country/region.(2021-2032)
Chapter 7: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc. (2021-2026)
Chapter 8: Analysis of industrial chain, including the upstream and downstream of the industry.
Chapter 9: Conclusion.

Benefits of purchasing QYResearch report:

Competitive Analysis: QYResearch provides in-depth Power System State Estimator competitive analysis, including information on key company profiles, new entrants, acquisitions, mergers, large market shear, opportunities, and challenges. These analyses provide clients with a comprehensive understanding of market conditions and competitive dynamics, enabling them to develop effective market strategies and maintain their competitive edge.

Industry Analysis: QYResearch provides Power System State Estimator comprehensive industry data and trend analysis, including raw material analysis, market application analysis, product type analysis, market demand analysis, market supply analysis, downstream market analysis, and supply chain analysis.

and trend analysis. These analyses help clients understand the direction of industry development and make informed business decisions.

Market Size: QYResearch provides Power System State Estimator market size analysis, including capacity, production, sales, production value, price, cost, and profit analysis. This data helps clients understand market size and development potential, and is an important reference for business development.

Other relevant reports of QYResearch:
Global Power System State Estimator Sales Market Report, Competitive Analysis and Regional Opportunities 2025-2031
Global Power System State Estimator Market Outlook, In‐Depth Analysis & Forecast to 2031
Global Power System State Estimator Market Research Report 2025
Power System State Estimator- Global Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031

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