Research Methodology on Enterprise Artificial Intelligence Market
1. Introduction:
This research focuses on providing a comprehensive analysis of the enterprise artificial intelligence market worldwide. This research involves an extensive study of the current trends, technological advances and major players operating in the market as well as an in-depth analysis of the forecast of the market size in terms of revenue and volume. This report also provides a detailed analysis of the drivers, restraints, and opportunities associated with the enterprise artificial intelligence market. The research methodology deployed to deliver a result-driven report comprises a combination of primary sources such as interviews with industry experts and secondary research.
2. Primary Research Methodology:
Primary research is essential to get an intrinsic understanding of the enterprise artificial intelligence market. Primary research activities undertaken by Market Research Future (MRFR) experts include interviews with high-level officials of leading companies, such as startups and investors, involved in the enterprise artificial intelligence ecosystem. MRFR also conducted comprehensive market surveys with key industry participants to gain an in-depth understanding of the market dynamics.
3. Secondary Research Methodology:
Secondary research includes an extensive study of the reported information from relevant websites, whitepapers and press releases from several stakeholders. For this report, secondary research conducted by MRFR was databases and journals, paid databases, company/industry reports, conference proceedings and investor presentations, value chain analysis, regulatory databases, and internal and external proprietary databases.
4. Data Collection and Analysis Process:
MRFR employed the triangulation method to shed light on the enterprise artificial intelligence market and draw comprehensive conclusions. The data derived from primary and secondary sources are updated and verified using advanced tools to ensure the accuracy and quality of delivered data. Then the extracted data is analyzed to arrive at the enterprise artificial intelligence market forecast. After thorough scrubbing and analysis of the collected data, a detailed report was prepared encapsulating Sales volume and revenues, market size, manufacturers’ sales, pricing analysis, product mix, etc.
5. Data Triangulation Methodology:
Data triangulation is essential to arrive at reliable conclusions or a robust understanding mobile network solutions market. The three-step process employed by Market Research Future (MRFR) includes,
- Data mining
- Data analysis
- Data Validation
6. Market Estimation and Forecast Calibration:
MRFR’s research analytics team employed software for market estimation and forecast calibration. This process includes the integration of multiple market inputs such as the trends observed in the market’s historical year, current industry dynamics, and present market trends along with key economic indicators and their forecasts.
7. Report Validation:
Once the analytics team is done with the market estimation and validation process, the report is validated by industry experts, who provide crucial recommendations on the structure and content of the report. The received market insights from industry experts were thoroughly assessed by the analytics team to ensure that the report represented the most reliable information available in the market.
8. Conclusion:
The research process followed for this report includes both primary research and secondary research components. Primary research involves extensive interviews with leading industry and academic executives and industry surveys. Secondary research includes the use of databases and information-rich websites. The data obtained from the primary and secondary research is validated through triangulation and market estimation and forecast calibration, after which the report is validated by industry-specific experts and other stakeholders.
