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Market Analysis

This page presents highlights of market research from a wide range of sources on embedded vision markets. This includes end equipment markets, such as video surveillance, automotive safety, and mobile devices. It also includes enabling technology markets, such as processors and sensors.

This page is updated regularly, so check back frequently for the latest additions, or connect to the RSS feed for this page by clicking on the RSS feed button above. If you are aware of relevant market research that is not included here, please let us know by sending email to editor@embedded-vision.com.

Historically, NVIDIA has not necessarily been known for powering low power AI applications.

AI-based HMI technologies have the potential to play a significant role within vehicles.

A key difference between a company that is growing and one that is struggling is the real and perceived level of quality of its products.

As vehicles grow increasingly connected and packed with sensors, AI-based technologies will play a significant role in the human-machine I/F

Quality monitoring, yield improvement, root cause analysis, predictive maintenance, energy management, etc. are all driving investment in AI

Household robots, personal assistant robots, and toy and educational robots are all driving strong market growth.

Mobile robot platforms, auto storage and retrieval systems, industrial robotic manipulators and gantry robots are all driving market growth.

Since 2015, more than 70 companies have entered the AI chipset market and more than 100 chip starts have been announced.

Mobile, automotive, drones, and consumer applications will lead in 3D camera and sensor adoption.

CES is always a good barometer for measuring how the latest technologies are being infused into real consumer products.