
Report ID: UCMIG45K2042
Report ID:
UCMIG45K2042 |
Region:
Global |
Published Date: Upcoming |
Pages:
165
| Tables: 55 | Figures: 60
The demand for 2D gesture recognition is expected to increase across all application areas, leading to market growth. Hardware and software are combined to achieve specific tasks. The technology is used to enhance user experience in a variety of application areas, including consumer electronics, banking, healthcare, and automobiles. The increased use of this technology in healthcare for training and body checks is expected to drive growth in the 2D gesture recognition market during the forecast period. The availability of a low-cost gesture recognition technology is one of the key market drivers. It is anticipated that the cost of these devices would reduce as a result of technological developments.
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 Electronic Components by segment aggregation, the contribution of the Electronic Components in Technology Hardware & Equipment 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: UCMIG45K2042