Computer vision has penetrated virtually every industry, from medical imaging to agriculture.
In fact, the global computer vision market is projected to reach nearly $58 billion by 2030, driven by larger data sets and advancements in AI, deep learning, and hardware technologies like AI chips, at a CAGR of 19.8% from 2025. Grand View Research
Here are 20 eye-popping statistics of what we can expect to see in the next five years, with a focus on applications in AI, imaging, and video processing:
- Video Surveillance: Computer vision enhances traditional surveillance systems by automating tasks such as facial recognition, anomaly detection, and behavioral analysis to increase security and efficiency in both public and private sectors. Over 60% of global CCTV footage will be analyzed using computer vision and AI techniques by 2025, aiding in real-time threat detection and security.
FutureDataStats
- Agricultural Automation: By 2030, computer vision is anticipated to play a central role in precision agriculture, with image-based soil analysis and crop monitoring projected to save farmers around 20% on pesticide usage
NMSC
. - Medical Imaging Advancements: AI-driven computer vision for analyzing MRI, CT scans, and X-rays is expected to improve diagnostic accuracy by up to 30% in complex cases by 2030. In fact, 85% of medical imaging software will incorporate AI-based solutions by 2030, especially for tasks like diagnostic support and real-time data analysis.
GlobalData
. - Autonomous Vehicles: Computer vision is fundamental to autonomous vehicles, with 85% of self-driving systems expected to use advanced vision algorithms for navigation, object recognition, and safety by 2030.
Grand View Research
. - Retail Industry: Computer vision-powered solutions for retail, including automated checkouts and stock tracking, will drive a $20 billion market by 2030 as brands seek to enhance inventory management and customer service.
NMSC
- Manufacturing: Industrial applications are seeing rapid adoption, with 40% of manufacturers expected to employ computer vision for defect detection, assembly line automation, and quality assurance by 2030.
Grand View Research
. - E-commerce: Image-based search and recommendation engines will use computer vision to enhance customer experiences, with adoption in over 70% of e-commerce platforms by the decade's end.
NMSC
. - Security and Surveillance: Computer vision in security systems is expected to secure $33 billion in investments by 2030, fueled by increased demand for facial recognition and behavior analysis.
GlobalData
. - Healthcare Diagnostics: By 2030, 50% of diagnostics in radiology will be assisted by computer vision, increasing accuracy and reducing workload for healthcare professionals.
NMSC
. - Smart Cities: Around 60% of smart city projects worldwide will incorporate computer vision to improve traffic management, public safety, and energy consumption.
GlobalData
. - Automotive Manufacturing: China’s automotive sector alone is expected to drive substantial growth in vision technology, especially for quality inspection and production line automation, as the country remains the largest vehicle manufacturer.
NMSC
. - Facial Recognition: The facial recognition market, a segment of computer vision, will reach over $12 billion globally by 2030, with applications in security, retail, and personal devices.
GlobalData
. - Retail Loss Prevention: Computer vision-powered loss prevention systems are projected to reduce retail theft by 20% on average by 2030, improving inventory management and profit margins
Grand View Research
. - Healthcare Applications: Computer vision in healthcare, including diagnostics and surgical assistance, is expected to increase by more than 25% annually, becoming integral in monitoring and diagnosing conditions through imaging.
GlobalData
- Remote Monitoring in Agriculture: By 2030, computer vision will be used in 70% of remote agriculture monitoring systems for disease detection, irrigation management, and crop health tracking
NMSC
. - AI Chips for Vision: Specialized AI chips optimized for computer vision tasks are anticipated to comprise a $10 billion market by 2030, with demand across healthcare, automotive, and consumer electronics
GlobalData
. - Consumer Electronics: Computer vision capabilities are expected to be integrated into 90% of smartphones by 2030, powering enhanced camera functions and augmented reality applications
Grand View Research
. - Aerial Drones: By 2030, 75% of drones used in agriculture and environmental monitoring will leverage computer vision for crop analysis, terrain mapping, and resource tracking
NMSC
. - Retail Checkout Automation: Computer vision-powered checkout solutions are projected to reduce checkout times by 30% in retail stores, improving customer satisfaction and efficiency
GlobalData
. - Insurance Claim Processing: Computer vision is expected to speed up insurance claim processing by up to 50% by automating damage assessment and fraud detection from image data
Grand View Research
GlobalData
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These statistics highlight the diverse and transformative impact computer vision is expected to have across multiple industries by 2030. This growth is being driven by the proliferation of data and advanced AI models designed for nuanced visual tasks.