What's Next in Computer Vision

A look at emerging computer vision use cases, the latest technological advances and solutions to deployment challenges

Wylie Wong, Contributor

April 6, 2023

1 Min Read

Computer vision has wide applicability across industries, from automating industrial inspections and detecting cancer in medical images to using facial recognition to verify passengers at airport security checkpoints. Many companies are investing in computer vision, a field of artificial intelligence, to improve or create new products and services, enhance consumer experiences and improve business operations, such as making manufacturing safer and more efficient.

Computer vision adoption is soaring. According to Omdia, spending on computer vision, which was $1.2 billion in 2019, is expected to grow to $4 billion in 2023 and reach $6.2 billion by 2027. Computer vision provides great utility to enterprises as it trains computers to derive meaning from visual information, such as videos, photos and other digital images. The technology identifies and classifies images and detects or tracks objects, then it interprets what it sees and takes appropriate actions.

This AI Business report will showcase the latest developments and advances in computer vision and the popular and emerging use cases in different vertical markets. It will also look ahead to what’s coming in the next two years and beyond, what will make computer vision even better and explore common deployment challenges, such as accuracy and limited datasets. It also will share details on how enterprises can overcome those challenges.

Download the report.

About the Author(s)

Wylie Wong

Contributor, AI Business

Wylie Wong is an award-winning freelance journalist specializing in technology, business and sports. He previously worked at CNET, Computerworld and CRN. An avid sports fan, he is the co-author of ‘Giants: Where Have You Gone?’, a book about the lost heroes and fan favorites of the San Francisco Giants baseball team.

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