The report covers forecast and analysis for the gas turbines market on a global and regional level. The study provides historic data of 2015 along with a forecast from 2016 to 2021 based on revenue (USD billion). The study includes drivers and restraints for thegas turbines marketalong with the impactthey have on the demand over the forecast period. Additionally, the report includes the study of opportunities available in thegas turbinesmarket on a global level.
In order to give the users of this report a comprehensive view on the gas turbines market, we have included a detailed segmentation of gas turbines. To understand the competitive landscape in the market, an analysis of Porters Five Forces model for thegas turbinesmarket has also beenincluded. The study encompasses a market attractiveness analysis, wherein type segments and technology segments are benchmarked based on their market size, growth rate, and general attractiveness.
The study provides a decisive view on the gas turbines market by segmenting the market based on design type,heavy duty (frame) type, aero-derivative type. All the type segments have been analyzed based on present and future trends and the market is estimated from 2014 to 2020. The gas turbines application segment includes power generation, oil gas, other industries. The regional segmentation includes the current and forecast demand for North America, Europe, Asia-Pacific and Rest of the world. This segmentation includes demand forgas turbinesbased onindividual applications in all the regions.
The report also includes detailed profiles of key players such as Siemens AG, Alstom S.A, Bharat Heavy Electricals Limited, Mitsubishi Hitachi Power Systems, General Electric Company, AnsaldoEnergia S.P.A and among others.
The report segments the global Gas Turbines market as
Gas Turbines Market: Design Type Segment Analysis
Gas Turbines Market: Application Segment Analysis
Gas Turbines Market: Rated Capacity Segment Analysis
Gas Turbines Market: Rated Capacity Segment Analysis
Gas Turbines Market: Regional Segment Analysis