The Latin America, Middle East and Africa AI Shopping Assistant Market would witness market growth of 27.9% CAGR during the forecast period (2025-2032).
The Brazil market dominated the LAMEA AI Shopping Assistant Market by Country in 2024, and would continue to be a dominant market till 2032; thereby, achieving a market value of $396.1 million by 2032. The Argentina market is showcasing a CAGR of 28.5% during (2025 - 2032). Additionally, The UAE market would register a CAGR of 26.7% during (2025 - 2032). The Brazil and UAE led the LAMEA AI Shopping Assistant Market by Country with a market share of 22.8% and 15.3% in 2024. The South Africa market is expected to witness a CAGR of 29.2% during throughout the forecast period.
AI-powered shopping assistants have advanced significantly in the LAMEA region, which includes Latin America, the Middle East, and Africa. Simple rule-based chatbots have given way to complex multilingual, multimodal agents that combine text, voice, and visual capabilities. The use of these tools has been indirectly accelerated by public sector initiatives like the GCC smart city frameworks, Brazil's EBIA, and African digital inclusion programs, which modernize digital infrastructure, make data open, and encourage AI literacy. These frameworks are used by regional OEMs, startups, and retail groups to create assistants that are suited to local languages, dialects, and cultural norms. This allows for seamless omnichannel experiences across mobile apps, web platforms, in-store kiosks, and messaging apps like WhatsApp, as well as personalized customer journeys and inventory optimization.
Competition in LAMEA is concentrated on localization, multilingual natural language processing, integration into e-commerce ecosystems, pricing flexibility, and regulatory alignment. The market dynamics in this region are influenced by a combination of regional and global technology giants. Prominent companies, such as Majid Al Futtaim, Chalhoub Group, and regional e-commerce platforms, work with academic institutions and government agencies to develop AI models that are optimized for indigenous languages, Portuguese, Spanish, Arabic, and Swahili. The operational and business value of AI assistants is demonstrated by key performance metrics, including decreased call center load, increased conversion rates, quicker issue resolution, and improved personalization. As a result of collaborations between local and international providers, hybrid ecosystems are gradually taking shape, striking a balance between local relevance, deployment agility, and advanced AI capabilities.
Based on Technology, the market is segmented into Natural Language Processing (NLP), Machine Learning (ML), Computer Vision (CV), and Other Technology. Among various Brazil AI Shopping Assistant Market by Technology; The Natural Language Processing (NLP) market achieved a market size of USD $24.8 Million in 2024 and is expected to grow at a CAGR of 25.2 % during the forecast period. The Computer Vision (CV) market is predicted to experience a CAGR of 26.9% throughout the forecast period from (2025 - 2032).
Based on End-use, the market is segmented into Retail & E-Commerce, BFSI, Healthcare, Travel & Hospitality, Media & Entertainment, and Other End-use. The Retail & E-Commerce market segment dominated the UAE AI Shopping Assistant Market by End-use is expected to grow at a CAGR of 26.2 % during the forecast period thereby continuing its dominance until 2032. Also, The Travel & Hospitality market is anticipated to grow as a CAGR of 28.2 % during the forecast period during (2025 - 2032).
Free Valuable Insights: The Worldwide AI Shopping Assistant Market is Projected to reach USD 20.07 Billion by 2032, at a CAGR of 26.0%
Brazil's market for AI shopping assistants is expanding quickly due to the country's high internet and mobile penetration rates, growing familiarity with digital transactions, and government encouragement of tech entrepreneurship. AI platforms can now provide linguistically and culturally relevant experiences thanks to the development of Brazilian Portuguese natural language processing (NLP) tools, and adoption is accelerated by integration with digital payment systems like Pix. Personalized shopping experiences, product recommendations, cart reminders, and post-purchase interaction are all made possible by retailers using AI, especially through social media platforms and messaging apps like Instagram and WhatsApp. This innovation is being facilitated by both domestic firms like Take Blip and foreign suppliers like Google and IBM. Prominent e-commerce companies like Magazine Luiza and Americana’s are using AI to improve customer engagement and sales conversion. Tech-savvy consumers are also beginning to use voice-enabled shopping, which emphasizes the industry's rapid development.
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