Insurance Risk Mitigation Software Market - Global Industry Analysis And Forecast To 2027

Insurance Risk Mitigation Software Market - Global Industry Analysis And Forecast To 2027

Research Methodology

We use both primary as well as secondary research for our market surveys, estimates and for developing forecast. Our research process commence by analyzing the problem which enable us to design the scope for our research study. Our research process is uniquely designed with enough flexibility to adjust according to changing nature of products and markets, while retaining core element to ensure reliability and accuracy in research findings. We understand both macro and micro-economic factors to evaluate and forecast different market segments.

Data Mining

Data is extensively collected through various secondary sources such as annual reports, investor presentations, SEC filings, and other corporate publications. We also refer trade magazines, technical journals, paid databases such as Factiva and Bloomberg, industry trade journals, scientific journals, and social media data to understand market dynamics and industry trends. Further, we also conduct primary research to understand market drivers, restraints, opportunities, challenges, and competitive scenario to build our analysis.

Data Collection Matrix

Market Modeling and Forecasting

We use epidemiology and capital equipment-based models to forecast market size of different segments at country and regional level.

• Epidemiology-based Forecasting Model: This method uses epidemiology data gathered through various publications and from physicians to estimate population of patients, flow of treatment of individual disease and therapies. The data collected through this method includes statics on incidence of disease, population suffering from disease, and treatment population. This method is used to understand:

• Number of patients for particular device or medical procedure and
• Repeated use of particular device depending on health and condition of patient

• Capital-based Forecasting Model: This method of forecasting is based on number of replacements, installed-based and new sales of capital equipment used in various healthcare and diagnostic centers. These three parameters are calculated and forecast is developed. Installation base is calculated as average number of units per facility; while sales for particular year is calculated from number of new and replace units. Secondary data is collected through various supply chain intermediaries and opinion leaders to arrive at installation and sales rate. These techniques help our analysts in validating market and developed market estimates and forecast.

We do forecast on basis of several parameters such as market drivers, market opportunities, industry trends government regulations, raw materials supply and trade dynamics to ensure relevance of forecast with market scenario. With increasing need to granulized information, we used bottom-up methodology for forecasting where we evaluate each regional segment differently and combined all forecast to develop final market forecast.

Data Validation

We believe primary research is a very important tool in analyzing and forecasting different markets. In order to make sure accuracy of our findings, our team conducts primary interviews at every stage of research to gain deep insights into current business environment and future trends and key developments in market. This includes use of various methods such as telephonic interviews, focus groups, face to face interviews and questionnaires to validate our research from all aspects. We validate our data through primary research from key industry leaders such as CEO, product managers, marketing managers, suppliers, distributors, and consumers are frequently interviewed. These interviews provide valuable insights which help us to have better market understanding besides validating our estimates and forecast.

Data Triangulation

Industry Analysis