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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.

The vision sensor, a key sensor for ADAS and autonomous driving, was galloping ahead in the past year.

Fundamentally, the acceleration of AI algorithms boils down to the acceleration of deep neural networks.

More than 7,000 robot assistants and infrastructure, structure and finishing robots will be deployed for construction between 2018 and 2025.

Drivers of growth include driver face analytics, emotion recognition, and gesture recognition.

The recently concluded Huawei Analyst Summit 2019 brought to light Huawei’s increased focus as it embeds AI into its products and services.

GPUs and CPUs currently lead in share, but ASICs will capture the lead by 2022, with expanded opportunities for SoC accelerators and FPGAs.

More than 300 AI use cases will contribute to market growth across 30 industries.

The infancy of AI technology is driving several fundamental shifts in how AI processing is accomplished.

Since the initial Amazon Go launch, there has been a burst of activity in the space from various companies putting stakes in the ground.

A new proposition is emerging as 5G networks roll out and artificial intelligence (AI) use cases proliferate across devices and the cloud.