Market research company IHS Technology has released an insight report that predicts the market for embedded vision devices will grow from 4 million units sold in 2014 to 14 million in 2018.
The established embedded vision markets, as identified in the report, include automotive, industrial automation, security and surveillance, and business intelligence. Niall Jenkins, research manager and associate director for the industrial and medical technology group at IHS, said that market drivers and barriers to adoption differ across various markets, but embedded vision in security and industrial automation, as well as developing markets, will help to drive growth.
“Emerging embedded vision applications, such as augmented reality and gesture recognition, should help the technology to gain mindshare across a wider audience in the future,” he said. “Each of the established embedded vision markets analyzed by IHS – automotive, industrial automation, physical security and business intelligence – is forecast to grow over the next five years.”
He added, “However, the dominant market application will be automotive ADAS (Advanced Driver Assistance Systems). By 2018, ADAS embedded vision unit shipments are forecast to account for over 80% of the established market.”
The embedded vision market can be broken down by equipment manufacturers, software vendors, and semiconductor suppliers. Each individual market has its own competitive ecosystem, with few companies active across multiple markets, explains Jenkins.
“Mobileye is a leading embedded vision supplier in the automotive market, while Omron and Keyence are active in the machine vision market,” he said. “Looking at the emerging markets, Microsoft, with its Kinect product, is the major player in gaming. In mobile, many new augmented reality software companies are entering the market providing innovative uses for embedded vision technology in both gaming and as tutorial applications.”
The embedded vision devices that constitute global sales can be categorized by the individual functions they serve. These categories include augmented reality, behavior recognition, facial recognition, object detection, and gesture recognition, explained Jenkins.
View the press release.
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