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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

NVIDIA is, by all accounts, the de facto standard in AI chipsets today, according to Tractica.

Cloud computing, AI processing, and IoT are driving forces behind the future growth of the cloud robotics market.

Head-mounted displays, assisted reality glasses, mixed reality holographic displays and smart helmets all play a market development role.

Numerous customer service applications – from manufacturing to order fulfillment – require recognition of faces and objects.

AGI (strong AI) is the application of AI across a generalized domain. In contrast, the current form of AI solves problems in narrow domains.

Enterprises have been using analytical ML techniques for years to solve business problems related to making predictions on raw data.

The global vision and navigation system market for autonomous vehicles is expected to witness a CAGR of 26.78% during the forecast period.

AI SoC automotive unit volume will surpass 2.8 billion units by 2023, says Semico Research.

Intel is preparing for the long haul rather than the short haul. Changes in its strategy are unlikely to bear fruit in the next 12 months.

Based on a proprietary research framework and model, these top 10 companies scored roughly 85 to 95 points out of a total of 100 points.