Computer Vision Market: Regional Trend & Growth Forecast To 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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