Research Methodology on Healthcare Big Data Analytics Market
This research study on the global healthcare big data analytics market is conducted using methodological triangulation or triangulated research approach which is a combination of the three principal methods, namely; exploratory research, descriptive research, and causal research.
Exploratory research
Exploratory research is implemented to understand the market trends, drivers and restraints of the global healthcare big data analytics market and obtain an overall view of the market. This research includes industry reports, secondary research such as healthcare journals, directories and databases, and primary research such as government sources, surveys, interviews and online databases. Secondary research helps to understand the industry structure and leading players in the market and primary research will aid in understanding customer preferences and requirements. The data collected from both primary and secondary sources are analyzed and validated to identify the current trends in the global healthcare big data analytics market.
Descriptive research
Descriptive research is conducted to gain an understanding of the target market for the healthcare big data analytics market. The analysis focuses on identifying the target customer demographic, segmentation of the market and overall market size. The descriptive research includes survey data from healthcare professionals, industry experts, and patient records. The data collected is analyzed and a detailed market segmentation is developed.
Causal research
The causal research approach is used to understand the cause-and-effect relationships in the global healthcare big data analytics market. The causal research is conducted through a series of interviews with healthcare professionals, industry experts, and patients. A comprehensive analysis of the responses of the interviewees is conducted to understand the factors driving the growth of the market.
Data Analysis
The data collected through the various sources are analyzed using the SPSS software to identify the various trends and opportunities in the global healthcare big data analytics market. The analysis is conducted to identify the market size, growth rate, customer preference, and market trends, and to identify the factors driving the growth of the market.
Quantitative Analysis
The quantitative analysis includes the use of advanced algorithms such as market segmentation, predictive analytics and data mining to identify the trends in the global healthcare big data analytics market. The data collected through the quantitative analysis is used to develop a comprehensive market analysis report and to develop market scenarios.
Qualitative Analysis
The qualitative analysis includes the use of interviews, focus groups and case studies to obtain information from healthcare professionals, industry experts, and patients. The data collected through the qualitative analysis will be used to understand customer preferences, and market trends and to identify the factors driving the growth of the market.
Validation
The data collected from the primary and secondary sources are validated by conducting a detailed review of industry documents, patient records, healthcare journals and government sources. The verified data is used to develop a comprehensive market analysis report and forecast the market's progression till 2030.