Research Methodology on Data Science Platform Market
1. Introduction:
The research study on the data science platform market by Market Research Future (MRFR), is intended to provide an understanding of the various market dynamics that are likely to have an impact on the growth of the market during the forecast period 2023 to 2030. The key market drivers and strategies adopted by the major stakeholders in the market have been discussed in detail in the report. The global data science platform market is segmented based on its deployment type and end user.
2. Research Objectives:
This research study aims to provide a comprehensive analysis of the data science platform market and its different segments, such as deployment type and end user. It also seeks to gain valuable insights into the market dynamics, such as drivers and challenges; prevailing pricing trends; regulations within the market; technology advancements; and strategies adopted by the key players.
3. Research Scope:
This report covers the global data science platform market in its entirety. It discusses the current market drivers, challenges and dynamics across regions, with a detailed analysis of the key segments and their respective sub-segments.
4. Research Methodology:
The primary research phase of the study is conducted using secondary sources, including annual reports, white papers, press releases, and databases. Secondary sources provide major inputs in terms of relevant data and background information, industry updates, market estimates, and insights.
Secondary sources used in this research include paid sources (such as data providers, statistics, and industry associations), public sources (such as the World Bank and OECD), and the Internet. A mix of primary and secondary research has been used to gather necessary information and conduct data analysis.
Primary research also includes interviews with industry experts and other stakeholders (including service providers, end-users, and software and hardware vendors), carried out for this study. Interviews helped us to gain valuable insights and assumptions into the industry, which are used to extrapolate and draw inferences from data already collected.
5. Assumptions
During the compilation of this report, certain assumptions were made regarding the size of the market and the growth rate of the market over the forecast period.
6. Geographic Coverage:
The report covers all major geographic regions, including North America, Asia-Pacific, Europe, and the Rest of the World (RoW).
7. Secondary Research:
Secondary research includes a wide range of industry sources and databases, including Hoover’s, Bloomberg Businessweek, Factiva, and Avention. The study also involves data gathered from industry trade journals and proprietary databases, as well as crowdsourcing initiatives. Industry experts, product developers, manufacturers, and service providers are consulted to gain deeper market insights.
8. Primary Research:
The survey for the primary research is administered to industry players and end users, including technology experts and service providers. The primary research approach includes one-on-one in-depth interviews, which helps to gain valuable insights into the product and service landscape, technology landscape, and market dynamics.
9. Market Segmentation:
The global data science platform market is segmented based on its deployment type and end user.
By Deployment Type:
By End User:
- Large Enterprises
- Small and Medium Enterprises (SMEs)
10. Data Triangulation:
Data triangulation is a process of combining primary research with secondary research to gain better insights into a market. This is done to attain a more accurate market size, segment size, and dynamics of the global data science platform market.
11. Forecasting:
For estimating the market size, the entire market was first split into different sub-categories and segments. The next step was to further split each category and segment into further sub-segments and then calculate the market size and forecast for each sub-segment. This was followed by an estimation of the overall market size and forecast using the bottom-up approach. After estimating the sub-segments and their respective size, the market estimates were summed to obtain the overall market size.
The market size and forecast are then validated using the top-down approach, wherein the overall market size is first estimated and then split into different market segments and categories. The bottom-up approach was then used to validate the market size and forecast from 2023 to 2030.
