Computer vision is rapidly reshaping retail operations as the market reaches significant scale. The computer vision market size has reached US$17.75 billion in 2025 and is expected to grow to US$37.1 billion in 2030, at a compound annual growth rate of 15.9% (commercetools Blog). Retailers are deploying computer vision across multiple use cases: predictive inventory management to reduce out-of-stock situations, heat maps to understand customer behavior, cashierless checkout systems like Aldi Süd's SHOP&GO concept, planogram compliance for shelf optimization, and AI-based loss prevention to detect theft in real time (commercetools Blog).
For commerce practitioners, the strategic opportunity lies in pairing computer vision with agentic AI to move beyond observation to autonomous action. Combined systems can make real-time decisions—restocking shelves, guiding shoppers, and managing checkout flows—without human intervention, bridging the gap between insight and immediate action (commercetools Blog). However, implementation challenges include high upfront costs for hardware and software, data privacy compliance with GDPR and CCPA, and the risk of errors and bias in AI systems that could misidentify customers or products (commercetools Blog). Retailers must balance these hurdles with transparent, ethical AI practices to unlock benefits like hyper-personalized experiences, enhanced omnichannel journeys, and sustainable inventory practices.