At Polaris Market Research, we engage in the most iterative and comprehensive research methodology which primarily focuses on providing the most accurate market forecasts and research data content enabling you to gain unprecedented business acumen. The company chiefly utilizes top-down and bottom up approaches, for both qualitative market estimations and market segmentations. We boast of our expertise in skillfully using data triangulation for looking at the market from the 3 main perspectives of primary data mining, dedicated statistical model and framework, data validation from primary sources.
Groundwork of Data Mining: We selectively pick our initial raw data of markets for analyzing through sets of reliable and validated websites, analyst reviews and press releases; whitepapers, reputed paid databases and from hordes of data consolidated in our repository. Technical data and trends are collaborated through in-depth surveys and trade journals. Pricing trends and industry dynamics are gauged from authenticated sources.
Dedicated Statistical Model and Framework: We derive our market estimations and forecasts through specific data simulation models. These models are agile and flexible, and are created and customized to meet the specific requirements of each study. Principally, we follow a collaborative amalgamation for our market forecasting and estimation performed through technology analysis, economic tools, domain expertise and economic tools. We generally prefer a bottom-up approach for obtaining global market estimates and derive an expected market growth rate.
Primary Validation and Sources: We conduct exhaustive primary interviews including telephonic discussions, face-to face discussions and focused group discussions to validate our assumptions and findings obtained. Our estimates and forecast are categorically verified through exhaustive primary research. These interviews additionally leverage us with an unbiased picture of the market, critical insights about the businesses in different markets, and current business scenarios.