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LAMEA AI Shopping Assistant Market Size, Share & Industry Analysis Report by Offering, Technology, End-use, Type, Country and Growth Forecast, 2025-2032

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    Report

  • 198 Pages
  • August 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6166755
The Latin America, Middle East and Africa AI Shopping Assistant Market is expected to 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 is expected to 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.

Technology Outlook

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).



End-use Outlook

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.

Country Outlook

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.

List of Key Companies Profiled

  • Amazon.com, Inc.
  • Google LLC
  • Shopify Inc.
  • Salesforce, Inc.
  • Apple, Inc.
  • Microsoft Corporation
  • Alibaba Group Holding Limited
  • eBay, Inc.
  • Adobe, Inc.
  • Walmart, Inc.

Market Report Segmentation

By Offering

  • Solution
  • Services

By Technology

  • Natural Language Processing (NLP)
  • Machine Learning (ML)
  • Computer Vision (CV)
  • Other Technology

By End-use

  • Retail & E-Commerce
  • BFSI
  • Healthcare
  • Travel & Hospitality
  • Media & Entertainment
  • Other End-use

By Type

  • Text
  • Voice
  • Multimodal
  • Visual

By Country

  • Brazil
  • Argentina
  • UAE
  • Saudi Arabia
  • South Africa
  • Nigeria
  • Rest of LAMEA

Table of Contents

Chapter 1. Market Scope & Methodology
1.1 Market Definition
1.2 Objectives
1.3 Market Scope
1.4 Segmentation
1.4.1 LAMEA AI Shopping Assistant Market, by Offering
1.4.2 LAMEA AI Shopping Assistant Market, by Technology
1.4.3 LAMEA AI Shopping Assistant Market, by End-use
1.4.4 LAMEA AI Shopping Assistant Market, by Type
1.4.5 LAMEA AI Shopping Assistant Market, by Country
1.5 Methodology for the Research
Chapter 2. Market at a Glance
2.1 Key Highlights
Chapter 3. Market Overview
3.1 Introduction
3.1.1 Overview
3.1.1.1 Market Composition and Scenario
3.2 Key Factors Impacting the Market
3.2.1 Market Drivers
3.2.2 Market Restraints
3.2.3 Market Opportunities
3.2.4 Market Challenges
Chapter 4. Market Trends - AI Shopping Assistant MarketChapter 5. State of Competition - AI Shopping Assistant MarketChapter 6. Product Life Cycle - AI Shopping Assistant MarketChapter 7. Market Consolidation - AI Shopping Assistant Market
Chapter 8. Competition Analysis - Global
8.1 The Cardinal Matrix
8.2 Recent Industry Wide Strategic Developments
8.2.1 Partnerships, Collaborations and Agreements
8.2.2 Product Launches and Product Expansions
8.2.3 Acquisition and Mergers
8.3 Market Share Analysis, 2024
8.4 Top Winning Strategies
8.4.1 Key Leading Strategies: Percentage Distribution (2021-2025)
8.4.2 Key Strategic Move: (Product Launches and Product Expansions: 2024, Feb - 2025, Jun) Leading Players
8.5 Porter Five Forces Analysis
Chapter 9. Value Chain Analysis - AI Shopping Assistant Market
9.1 Research & Development (R&D)
9.2 Data Acquisition & Management
9.3 AI Training & Model Optimization
9.4 Platform Development & Integration
9.5 User Interface (UX/UI) & Experience Design
9.6 Marketing & Go-to-Market (GTM)
9.7 Deployment & Customization
9.8 Operations & Support
9.9 Feedback Loop & Continuous Improvement
Chapter 10. Key Customer Criteria - AI Shopping Assistant Market
Chapter 11. LAMEA AI Shopping Assistant Market by Offering
11.1 LAMEA Solution Market by Country
11.2 LAMEA Services Market by Country
Chapter 12. LAMEA AI Shopping Assistant Market by Technology
12.1 LAMEA Natural Language Processing (NLP) Market by Country
12.2 LAMEA Machine Learning (ML) Market by Country
12.3 LAMEA Computer Vision (CV) Market by Country
12.4 LAMEA Other Technology Market by Country
Chapter 13. LAMEA AI Shopping Assistant Market by End-use
13.1 LAMEA Retail & E-Commerce Market by Country
13.2 LAMEA BFSI Market by Country
13.3 LAMEA Healthcare Market by Country
13.4 LAMEA Travel & Hospitality Market by Country
13.5 LAMEA Media & Entertainment Market by Country
13.6 LAMEA Other End-use Market by Country
Chapter 14. LAMEA AI Shopping Assistant Market by Type
14.1 LAMEA Text Market by Country
14.2 LAMEA Voice Market by Country
14.3 LAMEA Multimodal Market by Country
14.4 LAMEA Visual Market by Country
Chapter 15. LAMEA AI Shopping Assistant Market by Country
15.1 Brazil AI Shopping Assistant Market
15.1.1 Brazil AI Shopping Assistant Market by Offering
15.1.2 Brazil AI Shopping Assistant Market by Technology
15.1.3 Brazil AI Shopping Assistant Market by End-use
15.1.4 Brazil AI Shopping Assistant Market by Type
15.2 Argentina AI Shopping Assistant Market
15.2.1 Argentina AI Shopping Assistant Market by Offering
15.2.2 Argentina AI Shopping Assistant Market by Technology
15.2.3 Argentina AI Shopping Assistant Market by End-use
15.2.4 Argentina AI Shopping Assistant Market by Type
15.3 UAE AI Shopping Assistant Market
15.3.1 UAE AI Shopping Assistant Market by Offering
15.3.2 UAE AI Shopping Assistant Market by Technology
15.3.3 UAE AI Shopping Assistant Market by End-use
15.3.4 UAE AI Shopping Assistant Market by Type
15.4 Saudi Arabia AI Shopping Assistant Market
15.4.1 Saudi Arabia AI Shopping Assistant Market by Offering
15.4.2 Saudi Arabia AI Shopping Assistant Market by Technology
15.4.3 Saudi Arabia AI Shopping Assistant Market by End-use
15.4.4 Saudi Arabia AI Shopping Assistant Market by Type
15.5 South Africa AI Shopping Assistant Market
15.5.1 South Africa AI Shopping Assistant Market by Offering
15.5.2 South Africa AI Shopping Assistant Market by Technology
15.5.3 South Africa AI Shopping Assistant Market by End-use
15.5.4 South Africa AI Shopping Assistant Market by Type
15.6 Nigeria AI Shopping Assistant Market
15.6.1 Nigeria AI Shopping Assistant Market by Offering
15.6.2 Nigeria AI Shopping Assistant Market by Technology
15.6.3 Nigeria AI Shopping Assistant Market by End-use
15.6.4 Nigeria AI Shopping Assistant Market by Type
15.7 Rest of LAMEA AI Shopping Assistant Market
15.7.1 Rest of LAMEA AI Shopping Assistant Market by Offering
15.7.2 Rest of LAMEA AI Shopping Assistant Market by Technology
15.7.3 Rest of LAMEA AI Shopping Assistant Market by End-use
15.7.4 Rest of LAMEA AI Shopping Assistant Market by Type
Chapter 16. Company Profiles
16.1 Amazon.com, Inc.
16.1.1 Company Overview
16.1.2 Financial Analysis
16.1.3 Segmental Analysis
16.1.4 Recent Strategies and Developments
16.1.4.1 Product Launches and Product Expansions
16.1.4.2 Acquisition and Mergers
16.1.5 SWOT Analysis
16.2 Google LLC
16.2.1 Company Overview
16.2.2 Financial Analysis
16.2.3 Segmental and Regional Analysis
16.2.4 Research & Development Expenses
16.2.5 Recent Strategies and Developments
16.2.5.1 Product Launches and Product Expansions
16.2.6 SWOT Analysis
16.3 Shopify Inc.
16.3.1 Company Overview
16.3.2 Financial Analysis
16.3.3 Research & Development Expenses
16.3.4 Recent Strategies and Developments
16.3.4.1 Product Launches and Product Expansions
16.4 Salesforce, Inc.
16.4.1 Company Overview
16.4.2 Financial Analysis
16.4.3 Regional Analysis
16.4.4 Research & Development Expenses
16.4.5 Recent Strategies and Developments
16.4.5.1 Product Launches and Product Expansions
16.4.5.2 Acquisition and Mergers
16.4.6 SWOT Analysis
16.5 Apple, Inc.
16.5.1 Company Overview
16.5.2 Financial Analysis
16.5.3 Regional Analysis
16.5.4 Research & Development Expense
16.5.5 SWOT Analysis
16.6 Microsoft Corporation
16.6.1 Company Overview
16.6.2 Financial Analysis
16.6.3 Segmental and Regional Analysis
16.6.4 Research & Development Expenses
16.6.5 Recent Strategies and Developments
16.6.5.1 Partnerships, Collaborations, and Agreements
16.6.5.2 Product Launches and Product Expansions
16.6.6 SWOT Analysis
16.7 Alibaba Group Holding Limited
16.7.1 Company Overview
16.7.2 Financial Analysis
16.7.3 Segmental Analysis
16.7.4 Recent Strategies and Developments
16.7.4.1 Product Launches and Product Expansions
16.8 eBay, Inc.
16.8.1 Company Overview
16.8.2 Financial Analysis
16.8.3 Regional Analysis
16.8.4 Recent Strategies and Developments
16.8.4.1 Partnerships, Collaborations, and Agreements
16.8.4.2 Product Launches and Product Expansions
16.8.4.3 Acquisition and Mergers
16.8.5 SWOT Analysis
16.9 Adobe, Inc.
16.9.1 Company Overview
16.9.2 Financial Analysis
16.9.3 Segmental and Regional Analysis
16.9.4 Research & Development Expense
16.9.5 Recent Strategies and Developments
16.9.5.1 Partnerships, Collaborations, and Agreements
16.9.5.2 Product Launches and Product Expansions
16.9.6 SWOT Analysis
16.10. Walmart, Inc.
16.10.1 Company Overview
16.10.2 Financial Analysis
16.10.3 Segmental and Regional Analysis
16.10.4 Recent Strategies and Developments
16.10.4.1 Product Launches and Product Expansions
16.10.5 SWOT Analysis

Companies Mentioned

  • Amazon.com, Inc.
  • Google LLC
  • Shopify Inc.
  • Salesforce, Inc.
  • Apple, Inc.
  • Microsoft Corporation
  • Alibaba Group Holding Limited
  • eBay, Inc.
  • Adobe, Inc.
  • Walmart, Inc.