Machine vision is a system consisting of lens, camera, frame grabber, and image processing software. Compared with manual detection, machine vision has the advantages of high efficiency, being less error-prone, stable detection, and low cost of use.
Global machine vision market size reported about USD6.8 billion in 2016, up 6.3% from a year ago, and is expected to reach USD7.2 billion in 2017 and exceed USD9 billion in 2021 at a CAGR of around 7.5% during 2017-2021. Germany and America are the two largest markets, each holding over 30% shares of the global machine vision market in 2016.
Machine vision industry started in China after 2010 and now develops rapidly. The market was worth RMB2.6 billion (about USD390 million) in 2016, 5.7% of the global market and an 18.2% increase over the previous year. As sectors become more automated and intelligent, the Chinese machine vision market is expected to see an AAGR of 20% or so between 2017 and 2021, higher than the global average.
Machine vision products are primarily applied to semiconductor & electronic manufacturing and automobile, the two fields that accounted for nearly 60% of total demand for machine vision in 2016. The penetration of machine vision in automobile manufacturing is higher as a whole, usually a dozen sets of machine vision systems for one production line. Machine vision will find a broader range of application, such as object recognition for autonomous vehicle, as the car becomes more intelligent.