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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

Deep learning to enable 125 key use cases across enterprise, consumer, and government markets.

Huawei’s AI hardware includes chipsets, but it also extends to accelerator cards, AI appliances, and AI servers.

NVIDIA’s graphics processing unit (GPU) architecture has revolutionized AI processing by becoming a dominant player in AI hardware.

5G could make edge computing largely irrelevant because performing computing in the cloud would be almost the same as doing it on the device

Although broad in implementation and applications, various AR platforms share some common technologies, challenges, and opportunities.

Mobile electronics, smart speakers, HMDs, automobiles, drones, robots and security cameras will all drive greater use of AI at the edge.

Pretty much every application will sport some sort of AI engine, which will drive the need for silicon.

Ensuring that autonomous vehicles can safely operate without driver intervention requires significant testing.

The global market growth from 2018's $16.0 billion reflects a forecast compound annual growth rate (CAGR) of 9.2%.

Advances include speech recognition, audio & video sensing, image compatibilities, GPS & radar capabilities, and advanced driver assistance.