Vision Processing Unit (VPU) refers to a dedicated processor which produces high quality of images with ambient light and also reduces the power consumption by freeing up the CPU and GPU space thereby improving the overall performance of the system in which it is implemented. The Vision Processing Unit market is primarily driven by the increasing adoption of machine vision systems across wide range of industry verticals including consumer electronics, automotive, healthcare, and manufacturing among others.

Additionally, the advent of Artificial Intelligence (AI) and machine learning technologies required to program the systems is expected to assist the growth of the market. Various robots having vision capabilities are increasingly being implemented across the manufacturing and automobile industries for various purposes which include inspection of the products, quality check, assisting in the various stages of production, and security and surveillance among others.

Furthermore, the growing developments in the automobiles particularly, the autonomous vehicles is anticipated to impact the market positively. Machine Vision systems are used in the automobiles as a part of advanced driver assistance system (ADAS) which leads to improved safety while travelling. ADAS systems keep the driver aware while driving by giving inputs such as nearby vehicles, automatic braking systems, providing alerts pertaining to any objects, pedestrians, or vehicles nearby and so on.

The implementation of vision processing units across all the above mentioned applications will result in high quality of images and ensure the better performance of the system. Vision processing units also are increasingly being used in smartphones for giving an exceptional photography experience to the user.

The Vision Processing Unit (VPU) market is primarily driven by the increasing adoption of machine vision systems across wide range of industry verticals including consumer electronics, automotive, healthcare, and manufacturing among others. Various robots having vision capabilities are increasingly being implemented across the manufacturing and automobile industries for various purposes which include inspection of the products, quality check, assisting in the various stages of production, and security and surveillance among others.

Furthermore, the growing developments in the automobiles particularly, the autonomous vehicles is anticipated to impact the market positively. Machine Vision systems are used in the automobiles as a part of advanced driver assistance system (ADAS) which leads to improved safety while travelling.  

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