Research Methodology on Deep Learning Market
1. Introduction
Deep Learning has gained momentum in recent years with its offerings in various application fields, such as image recognition, data processing, and other facets of Artificial Intelligence (AI). Its application has improved its implementation in various organizations across the sector, thus driving the growth of the Deep Learning Market.
This methodology provides an overview of the research approach and design adopted for studying the Deep Learning Market. It explains the techniques used to produce reliable results and ensures accurate analysis. In this section, the data analysis techniques are also explained at a detailed level to provide a comprehensive understanding of the research strategy.
2. Research Design
To determine the current and forecast market size and dynamics of the Global Deep Learning Market, the research report is conducted through primary and secondary research.
Primary Research
To conduct primary research, Market Research Future (MRFR) interacts with industry experts through interviews to collect and validate qualitative and quantitative information. Key opinion leaders, mostly from large companies and start-ups who are enabling technology, are consulted for the data collection process. Primary research also includes other activities such as analyzing product portfolios of the key players from the markets, observing and assessing industry-specific trends, and evaluating market shares, sizes, and segments.
Secondary Research
The research conducted under secondary research includes the collection and assessment of data from various industry-specific sources such as annual reports, press releases, and journals. In addition, the opinions of experienced market professionals, and surveys conducted by various business analysts and industry experts are used for data collection and analysis.
Moreover, the report also includes a detailed market analysis and market estimations based on the factors on which the global Deep Learning Market is segmented. This segmentation is conducted in detail based on the region, product and end-user sectors.
3. Data Collection and Analysis
The data is collected from sources such as industry reports, primary research, organization documents, journals, and white papers. The sources are primarily industry experts and company executives. The primary sources are used to conduct primary research and validate the secondary data. Secondary research sources include:
-Industry reports
-Technical and trade journals
-Company websites
-Conference Proceedings
-Government surveys
-Online Databases
Moreover, various data models such as Porter's Five Forces Model and SWOT analysis are used in the data analysis to identify and assess the market trends and opportunities in the global Deep Learning Market.
4. Market Estimation
Apart from primary and secondary research, the report is also based on market size estimation using top-down and bottom-up approaches. The top-down approach refers to the process of estimating the market size of the parent market, based on the various regions and different segments. Under the bottom-up approach, the researchers estimate the incremental changes in the market, which is further evaluated against the already existing data in the existing market.
The report also provides an in-depth analysis of the global Deep Learning Market trends, and opportunities, and estimates the market size to represent the overall market size. The report also provides the CAGR value of the overall market and a forecast of the market growth rate for the forecast period 2023 to 2030.
5. Data Validation
The validity of each data point is ascertained by completing multiple checks within the data collection, data analysis, and data refinement phases. The checks are designed to validate the accuracy of the data points and reduce the risk associated with estimates and forecasts. The data points are further validated using the triangulation method, where both the top-down and bottom-up approaches are used for validation.
6. Market Forecast
For the estimation and validation of the market value, a multi-layer approach is adopted. The market value for different segments and regions is estimated and validated using various data collection methods and assumptions. The key assumptions used for the market sizing are included in the report. In addition, the impact of different market dynamics such as drivers, restraints, and opportunities is also analyzed and their resonating effects are also included in the research report.
