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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

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.

One of the great ironies of artificial intelligence is the technology’s dependence on humans to label or tag data for training purposes.

The needs for chipset power, performance, software, and other attributes vary greatly depending on the nature of application.

The emergence of AI has opened up many new possibilities for chipsets and Tractica estimates that the market will reach $66 billion by 2025.

There is a growing need for tools that support the automated retraining of models based on changing datasets.

On-device training is part of Huawei’s MindSpore (the company's equivalent of TensorFlow, PyTorch, or PaddlePaddle frameworks) architecture.

The fund will focus on startups that advance the cause of device-based AI covering autonomous cars, robotics, computer vision, and the IoT.

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