AI in Computer Vision Market 2020 Growth Analysis & Top Trends

Artificial intelligence (AI) is the capability of a computer or a computer-enabled robotic system to manage information and produce outcomes in learning, decision making, and solving problems, in a manner that resemble the thought process of humans. Computer vision is the field of computer science that has focused on replicating the complexity of the human vision system and on enabling computers to identify and process objects in images and videos in the way that humans do. The major driving factor behind the growth of AI in Computer Vision Market is the huge amount of data generated in day to day life.

The accuracy rates of object detection have been increasing with an increase in new hardware and algorithms in computer vision. From 50% accuracy to 99%, computers are reacting more quickly than humans to visual inputs. Features like Topology for Custom-tailored eyewear, MTailor for making custom fitted pants and shirts, Pottery Barn for virtual look of new furniture at homes with 3D models, self-driving vehicles, and cashier less supermarkets - all are a result of computer vision. There is no end of uses for computer vision. So, the AI in Computer Vision ecosystem is expected to witness ~22% CAGR.

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The arrival of computer vision technology in smartphones is driven by continued investments in AI techniques by major OEMs like Apple, Samsung, Huawei, and Google. The new generation of smartphones have features like sophisticated cameras with higher resolutions, to capture more data to improve the overall accuracy of visual recognition and to enhance the reliability of facial recognition. Google has worked on the world's first tango-enabled smartphone Lenovo Phab 2 and ASUS ZenFone AR, while Apple has introduced 3D sensing in iPhone X with front-facing camera. Apple’s move has led to a rush in 3D sensing adoption.

All these new technology transformations are possible with the help of computer vision. Computer vision is a booming industry, as this technology is being used in several everyday products. E-commerce companies like Asos, Alibaba are adding visual search features to their websites to make the shopping experience smoother and more personalized. Apple unveiled their facial recognition feature with the latest iPhone. It is a technology that has been made possible through their acquisition of companies like PrimeSense, RealFace, and Faceshift.

The ripple effect of Coronavirus-Covid19 on the market needs to become part of strategy discussions to emerge strong. The Analyst team is meticulously tracking the impact and relevance to all the sectors in the Ecosystem.  Key datasets include Revenue Impact analysis, Disruptions and New opportunities in the Supply Chain, Revised Vendor Landscape Mix, New opportunities mapping, and more.

North America is growing in the AI in Computer Vision ecosystem across various industry verticals, mainly in manufacturing and automotive industries. Ford is using AI in the manufacturing process and operations of automobiles. The 2020 Ford Edge model will have artificial intelligence as part of its all-wheel-drive system. The integration of surveillance systems with video analytics solutions is one of the major drivers for the market in this region. Advancement in medical care services in the Asia Pacific market is rapidly increasing the use and adoption of computer vision for accurate and quick medical reports, radiology and, or measuring the blood lost during surgeries, majorly during c-section procedures.

Government funding and investments in Artificial Intelligence is increasing in this market. In 2017, the US social media platform Pinterest launched its visual search tool “Lens” as discovery engine on its mobile app. The company partnered with retail giant Target to integrate Pinterest’s Lens into the e-commerce platform, in order to help customers, find items of interest through images. In the U.S. 529 startup companies have been listed under the label of computer vision. The average valuation of these companies is at $5.2 M each. These companies will soon raise between $5M and $10M in different stages of funding. Huge investments are being undertaken all over the world for computer vision development.