
Report ID: UCMIG20R2027
Report ID:
UCMIG20R2027 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
The demand for commercial airport full body scanners is anticipated to be primarily driven by potential terrorist threats to the aviation sector. Improved safety and security measures at airports are required due to rising security concerns and cross-border crimes. Modern security measures have been put in place as a result of the failure of conventional security checking techniques. Full-body scanners have been a ground-breaking idea in terms of screening individuals. Commercial airport full-body scanners can quickly identify a variety of risks to help travellers avoid any unwelcome occurrences. Its deployment is in the early stages and is drawing significant investment from throughout the globe.
This report is being written to illustrate the market opportunity by region and by segments, indicating opportunity areas for the vendors to tap upon. To estimate the opportunity, it was very important to understand the current market scenario and the way it will grow in future.
Production and consumption patterns are being carefully compared to forecast the market. Other factors considered to forecast the market are the growth of the adjacent market, revenue growth of the key market vendors, scenario-based analysis, and market segment growth.
The market size was determined by estimating the market through a top-down and bottom-up approach, which was further validated with industry interviews. Considering the nature of the market we derived the Air Freight & Logistics by segment aggregation, the contribution of the Air Freight & Logistics in Transportation and vendor share.
To determine the growth of the market factors such as drivers, trends, restraints, and opportunities were identified, and the impact of these factors was analyzed to determine the market growth. To understand the market growth in detail, we have analyzed the year-on-year growth of the market. Also, historic growth rates were compared to determine growth patterns.
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Report ID: UCMIG20R2027