Research Methodology on Driver Assistance System Market
Market Research Future (MRFR) has conducted extensive primary and secondary research to present a complete picture of the global driver assistance system market. This report is based on extensive research insights gathered from industry experts, interview responses of automotive manufacturers, a detailed analysis of the existing market trends and their projection for the market in the forecast period 2023 to 2030.
The following research methodologies were applied when preparing this market research report.
Primary research:
MRFR's primary research mainly focused on collecting data from key industry participants such as automotive electronics manufacturers, system integrators, electronic component suppliers and electric vehicle manufacturers. In-depth interviews were conducted with the leading industry experts and opinion leaders, followed by a thorough analysis of the gathered data in the form of questionnaires and surveys. Furthermore, the primary research gave insight into the overall customer attitude & behaviour that influence the market scenario and the current and future developments & trends in the market.
Secondary Research:
MRFR's secondary research includes various sources such as industry news, press releases, company websites, annual reports as well as market players' databases. The analysis and data collected from the secondary research were further verified by conducting a round of primary research through interviews with SMEs (Small and Medium Enterprises) and end-users.
Market Projection and Forecast:
For the forecast period, an extensive analysis was conducted for the existing customer trends, the prevalent technologies and their application. This was combined with a detailed market trend analysis, future developments, and the technological advancements taking place in the market. Furthermore, the forecasting model was used to accurately represent the forecasted data for the market size, taking into account the existing and potential micro-economic factors.
Data Triangulation:
Data triangulation is extensively used for corroboration & confirmation of the market estimates &forecasts regarding the predecessor (drivers, trends, challenges, restraints) and the forecast period (the year estimates the data for). The data triangulation process was done by analyzing the secondary sources which are mainly governmental websites and company websites.
Statistical Modelling:
For this study, MRFR applied a statistical method to understand, analyze and accurately forecast the size and growth of the driver assistance system market during the forecast period. Our statistical model takes into account the side-by-side market analysis of the growth drivers, trends and opportunities related to each geographic region and its influencing factors.
Market Estimation:
The data gathered during the primary, secondary and tertiary research processes was used to provide an accurate estimation of the market numbers for the estimated period. Our market estimation process took into account the quality of the data from individual sources, the total consolidated data available and the scope of the market. The market estimation process also includes the quality parameters such as market fragmentation and technology trends in the market.
Validation:
The data collected at each stage of the market size estimation process was validated and further analyzed through a specific triangulation method, wherein primary, secondary and tertiary sources were cross-referenced based on their exact values. The detailed triangulation method was used to eliminate outliers. After validating the data gathered from various sources and comparing it with the figures obtained through primary research, the estimated market data was precisely analyzed and accurately estimated.