Computer Vision – Thematic Research
- Pages: 50
- Published: January 2020
- Report Code: GDTMT-TR-S247
The explosion in the volume of visual data, coupled with the increased sophistication of artificial neural networks and the availability of chips created specifically for artificial intelligence (AI) processes, will all drive growth in computer vision (CV) over the coming years. CV will find myriad applications in several industries, reaching an estimated market size of $28bn by 2030, up from $3.5bn in 2019, according to GlobalData forecasts.
This report provides an overview of the computer vision theme, including descriptions of technologies like image recognition, object recognition, video recognition, and machine vision.
It identifies the key trends impacting growth over the next 12 to 24 months.
It includes a comprehensive industry analysis, outlining key growth areas and potential use cases.
It identifies the leading players in the computer vision theme, across all segments of the value chain.
CV gives machines the power of visual recognition in a way that replicates human vision. Whether a machine is recognizing faces in a crowd or detecting vehicles on the road, the ultimate aim is to make decisions based on image interpretation. As such, CV’s impact on people's lives could be massive and the ethical implications unprecedented.
Reasons to buy
Computer vision is being commercialized across a number of areas, including security and surveillance, automotive, consumer, industrial, medical, and entertainment. This report provides a clear and concise analysis of computer vision, including valuable insights into how it works, what it is being used for, and which companies are leading the way. It also evaluates the controversial nature of technology like facial recognition and looks at how regulators could limit their use.
Table of Contents
Appendix: Our thematic research methodology