Computer Vision Market Trends, Analysis & Forecast, 2032

 

As per a recent research report, Computer Vision Market to surpass USD 40 Bn by 2032.

Computer Vision Market is expected to gain appreciable traction through 2032 due to the increasing advancements in the autonomous vehicle industry. Growing investments in autonomous vehicles will boost applications for smart sensors such as camera sensors, LiDAR, radar, and more. All these sensors offer users full-fledged AI images of the surroundings for safe and easy mobility. Besides, vision sensors provide an enhanced view of the surroundings during parking and support ADAS features in autonomous vehicles.

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Based on components, the software segment is slated to grow considerably owing to the rapid technological innovations that allow users to develop images and computer vision-related models such as facial recognition, image classification, object detection, and tracking object mobility. Software in computer vision assists in building an end-to-end platform for linking all applications with a single server that supports multiple languages, constant updates, and technology improvement that makes the process more efficient.

By product type, the PC-based segment held over USD 5 billion market share in 2022. Increasing innovations in modern systems to upgrade data storage via ports, cable, processing boards, and vision engines will drive the market demand.

Considering the application, the quality assurance and inspection segment is estimated to generate over USD 10 billion in revenue between 2023 and 2032. The segmental growth is expected to come from the rising adoption of process automation technology in several industries to boost productivity. Moreover, several scientific laboratories use videos and images created by smart camera-based computer vision to check the quality and gain insights into bacteria count, virus detection, and more.

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Regionally, the Asia-Pacific computer vision market is expected to grow considerably through 2032. Mounting technological innovations in agriculture to empower users identify defects and analyze the weight, ripeness, and crop-related factors will positively influence the regional market dynamics. Besides, several countries across the region are planning to invest more in IoT to boost digitalization and meet the increasing market needs.

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