Research Methodology on Artificial Intelligence Education Market
Market Research Future (MRFR) has enabled a well-structured research method to provide a concise and detailed analysis of the artificial intelligence (AI) education market. This report is the result of extensive primary and secondary research, which relies upon industry publications, government data, internal data, and external databases. After obtaining the data and including various opinions from industry experts and opinion leaders, an extensive assessment of the market and its encompassing dynamics were formulated.
MRFR strives to cover the market from various perspectives to provide its clients with an in-depth view of the market. Our research is based on an analysis of the current market trends, technology analysis, regional trends and industry competencies, which were combined with a knowledgeable understanding of the market to influence the forecasts. Various factor analyses covered in the primary research consist of market drivers, restraints, opportunities, and challenges.
The demand-side data of the market is based on the evaluation of several panels of consumers and industry experts to deliver over-arching insights on the market. SWOT analysis was applied to deliver newer forms of data points, which focus on the market potential and new areas of growth.
MRFR conducted a thorough analysis of the market through Porter’s Five Forces Analysis, market attractiveness analysis, correlation analysis, competitive landscape analysis, and other strategic market analyses. Data collected from reliable sources include figures, facts, and data points gathered from authoritative secondary sources and in-house proprietary databases.
MRFR used the top-down and bottom-up approaches to model the AI education market. The major participants of the market were considered for their opinions on the expected market changes. This helps estimate the market size for the top segments of the global AI education market for the forecast period. The market size is then verified through various primary sources including business experts and industry professionals.
MRFR took into account industry trends and factors that are regularly changing throughout the years. The analysis to identify market size, regional demand analysis & opportunity assessment, and competitive landscape analysis on the AI education market is done.
The research methodology involves the use of efficient and reliable research techniques such as interviews, surveys, and focus groups. It also involves visits to educational institutions, companies, and research centres to assess AI usage in education. This serves to aid the research team in understanding the dynamics of the industry. Further, industry experts and analysts had been contacted, who provide a clear understanding of the evolution of the industry.
Further, we conducted qualitative and quantitative analyses by processing the collected data and combining it with secondary research. This helped in arriving at market estimates and also understanding nuances that have an impact on the threat opportunities and/or restraints present in the market. To enhance the accuracy of the data collected, various analytical tools such as PESTLE analysis, SWOT analysis, and gap analysis were employed. The regional and global market is highly segmented, and MRFR employed top-down and bottom-up approaches to obtain market forecasts.
Ultimately, the analysis was based on extensive primary and secondary data sources covering historical and current performance and key forecast factors. Comprehensive data from these sources is used to deliberate and construct market estimates and figures for the upcoming years.
