Research Methodology on Automated Material Handling Market
The research methodology employed in the market research report on the “Automated Material Handling Market“ was both qualitative and quantitative. The main goal is to gain an in-depth understanding of the overall market dynamics such as drivers, restraints, opportunities, and threats. To meet this goal, both primary and secondary research methods are used.
1. Primary Research:
To gain detailed market insights, several industry experts are consulted and questioned on various topics related to the automated material handling market. Primary research methods are also used to identify and discuss the core products, types of users, potential consumers, opportunities and emerging technologies. Primary research techniques such as interviews, surveys, questionnaires and focus groups are used to understand the market trends and obtain the opinions of industry experts.
2. Secondary Research:
To gain additional information, secondary research methods are also used. Secondary research involves the collection and analysis of data from sources such as annual reports, government documents, corporate websites, magazines and newspapers, industry databases and white papers. In addition, Technavio’s proprietary and industry-standard databases are utilized for secondary research.
3. Data Triangulation:
After the initial collection and analysis of market data, the collected information is further analyzed and validated utilizing data triangulation. A combination of independent variables and dependent variables is used to attain a high-level accuracy in data.
4. Market Engineering:
In addition, a market engineering approach is used to estimate and forecast the size of the global automated material handling market. The market engineering approach includes the following steps:
- Identification of the parameters influencing the market
- Establishing relationships between the identified parameters
- Calculation of market size estimations
- Validation of the market size estimations
5. Statistical Techniques Used:
In order to ensure the accuracy of market size estimation and forecast, statistical techniques such as regression and correlation analysis, time series analysis, and principal component analysis are adopted. Data is collected and analyzed using the year 2022 as the base year, and 2023 to 2030 as the forecast period.
Overall, this market research report on the “Automated Material Handling Market” is based on comprehensive primary and secondary research and is carried out with the help of several industry experts and consultants. The data and information obtained from the primary and secondary sources are further validated and verified with the help of tools such as data triangulation, market engineering and statistical techniques. This research methodology is carried out to provide a complete and accurate market overview.