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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.

Advances have been made due to accelerated access to data, cheaper compute power, and evolving deep learning combined with computer vision.

Applications include video surveillance, autonomous driving and navigation, medical image analysis, AR and VR, and localization and mapping.

Changing a few pixels in an adversarial image causes a computer vision system to make completely different decisions.

The automotive gesture recognition market will exhibit over 42% CAGR from 2017 to 2024.

AI promises to make work and life more productive. But to do so, it needs to better understand humans, the most complex organisms on earth.

Given the advances of AI, new techniques for facial recognition have emerged. The accuracy of results has increased drastically.

Deep learning, GDPR compliance and drone detection technologies are just some of the trends discussed.

Super Cruise provides compelling solution to compete in emerging market for semi-autonomous driving features.

Tractica estimates there will be somewhere between 650 million and 750 million mobile AR unique monthly active users by the end of 2018.

We are at the early stages of the AI revolution, but we do not have a good understanding of the fundamental pillars for AI business success.