The Latin America, Middle East and Africa Computer Vision AI in Retail Market would witness market growth of 25.5% CAGR during the forecast period (2025-2032).
The Brazil market dominated the LAMEA Computer Vision AI in Retail Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $312 million by 2032. The Argentina market is registering a CAGR of 26.1% during (2025 - 2032). Additionally, The UAE market would showcase a CAGR of 24.6% during (2025 - 2032). The Brazil and UAE led the LAMEA Computer Vision AI in Retail Market by Country with a market share of 36.8% and 19.6% in 2024.The South Africa market is expected to witness a CAGR of 26.3% during throughout the forecast period.
In the LAMEA region, retail has gone from using computer vision AI for basic surveillance and loss prevention to using it for smart analytics that improve operations, efficiency, and customer engagement. At first, visual systems in Latin America, the Middle East, and Africa were mostly used for monitoring. But improvements in AI, camera technology, and connectivity have made them useful for other things like keeping track of inventory, auditing shelves, and analyzing shopper behavior. This change has been led by cities with better infrastructure, with the help of digital transformation programs and smart city investments. Vision systems now make it possible to get proactive insights, which lets stores modernize and optimize their layouts while also making the shopping experience better.
Some of the main trends that are driving this growth are the rise of cashierless and frictionless retail formats, edge-centric architectures that work with different levels of connectivity, and the use of visual intelligence in omnichannel retail strategies. Retailers are using both on-site inference and centralized analytics to make sure they can respond quickly, even when bandwidth is low. Partnerships between tech companies, telecom companies, and retailers have sped up adoption, and phased deployments help manage risk and improve local performance. Computer vision AI is becoming a key part of retail innovation and competition across the LAMEA region by adapting to the differences in regions and the state of the infrastructure.
Based on Technology, the market is segmented into Object Detection & Tracking, Facial Recognition, Gesture Recognition, Image Recognition and Optical Character Recognition (OCR). The Object Detection & Tracking market segment dominated the UAE Computer Vision AI in Retail Market by Technology is expected to grow at a CAGR of 23.5 % during the forecast period thereby continuing its dominance until 2032. Also, The Image Recognition market is anticipated to grow as a CAGR of 25.4 % during the forecast period during (2025 - 2032).
Based on Application, the market is segmented into Customer Experience Enhancement, Inventory Management, Checkout and Payments, Marketing & Merchandising and Operations Optimization. Among various South Africa Computer Vision AI in Retail Market by Application; The Customer Experience Enhancement market achieved a market size of USD $6.1 Million in 2024 and is expected to grow at a CAGR of 25.1 % during the forecast period. The Checkout and Payments market is predicted to experience a CAGR of 26.8% throughout the forecast period from (2025 - 2032).
Free Valuable Insights: The Worldwide Computer Vision AI in Retail Market is Projected to reach USD 8.58 Billion by 2032, at a CAGR of 24.3%
In Brazil, the adoption of computer vision AI in retail is accelerating as retailers seek to enhance efficiency, reduce shrinkage, and improve in-store experiences. The country’s mature retail sector and expanding omnichannel strategies drive demand for applications like shelf monitoring, cashierless checkout, and shopper analytics. Investments in AI infrastructure and digital policies support this growth, though challenges such as data privacy laws (LGPD) and uneven IT maturity persist. Retailers increasingly combine vision with RFID and edge computing to enable real-time insights and lower latency. Competition involves local integrators and global providers, with success depending on scalability, cost-effectiveness, and integration with existing store systems.
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