The power system state estimator market will expand from an estimated $3 billion in 2014 to $5.87 billion by 2019 with a CAGR of 14.35% from 2014 to 2019
(PRWEB) September 26, 2014
This report estimates the market for power system state estimators by value. All major geographic markets have been covered in this report. The power system state estimator has been segmented by software as Utility and Power control center software; and by application as Transmission and Distribution segments.
Power system state estimator market has been segmented into five regions namely North America, Europe, Asia-Pacific, Middle East & Africa and Latin America. North America is the largest market for power system state estimators, while Latin America is the one with the highest projected CAGR. Europe and Asia-Pacific are also started catching up the market. Complete report is available at http://www.reportsnreports.com/reports/298319-power-system-state-estimator-market-by-software-type-utility-power-control-centers-application-transmission-distribution-networks-and-solution-methods-wls-lav-kalman-filter-bayesian-newton-gaussian-global-trends-forecasts-to-2019.html .
State estimators help in monitoring, controlling, supervising transmission and distribution networks. As new power generation sources like wind, solar, and biomass are coming up, the grid needs to have complete control on the network to monitor and integrate the power from different sources also to include industrialization, expansion of the grid making the network more complex these days. The micro grids and smart grids are increasingly adopted by all geographies.
The report includes the profiles of leading players of this industry with their recent developments and other strategic growth activities. Some of the key companies profiled include Abb Group, Siemens Ag, Alstom, Open System International Inc. (OSI), General Electric, Nexant, ETAP Electrical Engineering Software, BCP Switzerland (Neplan), CYME International, Digsilent (Power Factory), Energy Computer Systems (Spard), Electrocon (CAPE), EPFL (Simsen), GDF Suez (Eurostag), Powerworld, KEPCO (KW-PSS), PRDC (Mipower), Inspired Interfaces (Retic Master), Siemens PTI, SKM (Power Tools for Windows) and TOM (Pasha). Order a copy of this report (Priced US $4650) at http://www.reportsnreports.com/purchase.aspx?name=298319 .
Lack of globally defined industry standards will certainly pose a hindrance to the State estimator market. Power system state estimators currently find their applications more in transmission networks than in distribution networks. The key players in the market are rigorously active in collaborations, joint ventures and partnerships etc. as their primary strategic approach of growth.
The related market data has been sourced through government databases, facts published by multinational agencies, encyclopedias, Industry associations and power journals, and directories have been used to gather information while preparing this commercial study on power system state estimator. The sources also include industry experts, discussions, and surveys. Priced at US $4650 for a single user PDF, a discount on this research report can be requested @ http://www.reportsnreports.com/contacts/discount.aspx?name=298319 .
North America: Largest market by Region
- North America is the largest market for power system state estimators, with continuing upgrades to existing networks. Power system state estimators are witnessing high CAGR in the region, ensuring that it will continue to be the leading market in the near future.
Power Control Centers: Largest market by Software type
- Power Control Centers are the largest market for power system state estimators by software type, largely due to the strong presence of independent system operators and private utility companies in North America and Europe.
Transmission: Largest market by Application
- Transmission networks are the biggest market for power system state estimators by application, driven by the need for accurate real-time estimation of bus voltages, which helps enhance the reliability of electric power systems.
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