Automotive applications such as lane departure warning and automatic parking will be the main growth drivers for this year's embedded vision system, which is a technology that gives machines "vision" and interprets data through computer vision software.
The 2013 sales revenue of dedicated computer vision processors in automotive hood applications is expected to reach US $ 151 million, higher than last year ’s US $ 137 million and 2011 ’s US $ 126 million. In the next few years, it will continue to grow, with a growth rate between 6% and 9%, which has established a reliable prospect for embedded vision systems, making it one of the fastest growing technologies. As of 2016, sales revenue in this area is expected to reach 187 million US dollars, as shown in the chart below, which is equivalent to a compound annual growth rate of 8.2% in six years.
Long-eyed cars: automotive applications drive embedded vision system market growth
Tom Hackenberg, Chief Analyst of the IHS Embedded Processor Division, said: "Embedded vision systems can improve the safety and convenience of automobiles in many ways and play a key role in many applications, such as lane departure warning, collision mitigation, automatic Parking and blind spot notifications, etc. The total available market for embedded vision systems in automotive hood applications is huge, with an installed potential of 94.7 million light vehicles as of 2016, up from 71.1 million in 2011. "
Automotive and factory automation systems are the main markets, and embedded vision systems are also used in a variety of industrial security applications, which is another strong growth driver in this area.
In addition to established markets, embedded vision systems are also growing in areas such as gesture recognition, augmented reality, and digital signage. These markets are not very mature, but they have important potentials that can be realized in the short to medium term (three to six years). The third market segment for embedded vision systems is emerging markets. The potential of these markets is expected to be realized over a longer period of time, most likely from seven to ten years. Emerging markets include facial recognition, for example, the identification of ATMs used for financial transactions; the transportation market, which adopts the form of autonomous vehicles and intelligent infrastructure; and the medical market, including patient monitoring and interaction based on vision systems. IHS believes that with the continuous development of embedded vision systems, the market for new applications is also evolving.
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