Global Power System State Estimator Market Growth (Status and Outlook) 2023-2029

Global Power System State Estimator Market Growth (Status and Outlook) 2023-2029

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.
LPI (LP Information)' newest research report, the “Power System State Estimator Industry Forecast” looks at past sales and reviews total world Power System State Estimator sales in 2022, providing a comprehensive analysis by region and market sector of projected Power System State Estimator sales for 2023 through 2029. With Power System State Estimator sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world Power System State Estimator industry.
This Insight Report provides a comprehensive analysis of the global Power System State Estimator landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyzes the strategies of leading global companies with a focus on Power System State Estimator portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global Power System State Estimator market.
This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for Power System State Estimator and breaks down the forecast by type, by application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global Power System State Estimator.
The global Power System State Estimator market size is projected to grow from US$ 700.4 million in 2022 to US$ 1223.9 million in 2029; it is expected to grow at a CAGR of 8.3% from 2023 to 2029.
Global Power System State Estimator key players include ABB, Siemens, Schneider Electric, etc.
Europe is the largest market, with a share about 30%, followed by North America, and Asia-Pacific, both have a share over 55 percent.
In terms of product, Weighted Lease Square (WLS) Method is the largest segment, with a share over 90%. And in terms of application, the largest application is Transmission Network, followed by Distribution Network, etc.
This report presents a comprehensive overview, market shares, and growth opportunities of Power System State Estimator market by product type, application, key players and key regions and countries.
Market Segmentation:
Segmentation by type
Weighted Lease Square (WLS) Method
Interior Point (IP) Method
Others
Segmentation by application
Transmission Network
Distribution Network
This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries
The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
ABB
Siemens
Schneider Electric
Open System International (OSI)
General Electric
Nexant
ETAP Electrical Engineering Software
BCP Switzerland (Neplan)
Eaton (CYME)
DIgSILENT (Power Factory)
Energy Computer Systems (Spard)
EPFL (Simsen)
PowerWorld

Please note: The report will take approximately 2 business days to prepare and deliver.