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LAMEA AI in Tourism Market Size, Share & Trends Analysis Report By Offering (Solution, and Services), By End Use, By Country and Growth Forecast, 2025 - 2032

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    Report

  • 114 Pages
  • April 2025
  • Region: Africa, Middle East
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6077339
The Latin America, Middle East and Africa AI in Tourism Market is expected to witness market growth of 28.9% CAGR during the forecast period (2025-2032).

The Brazil market dominated the LAMEA AI in Tourism Market by country in 2024, and is expected to continue to be a dominant market till 2032; thereby, achieving a market value of $401.9 million by 2032. The Argentina market is showcasing a CAGR of 29.7% during 2025-2032. Additionally, the UAE market would register a CAGR of 27.8% during 2025-2032.



AI simplifies this process by acting as a centralized planning tool that integrates all aspects of a trip. For example, AI algorithms can search for the best flights, hotels, and local experiences based on a traveller’s preferences. Some platforms even provide end-to-end planning, including tailored itineraries based on past travel behaviour and preferences. Airports and hotels increasingly adopt AI-based facial recognition technology for check-ins, security screening, and seamless boarding.

This enhances customer convenience and speeds up check-in, reducing waiting times. Biometrics, including fingerprints and iris scanning, are also used to improve security, ensuring that travellers have a more secure and efficient experience. Market is growing at an unprecedented rate as businesses recognize the potential of this technology to drive operational efficiencies, enhance the customer experience, and remain competitive in a rapidly evolving marketplace.

The global tourism industry is transforming digitally, with artificial intelligence (AI) at the forefront of enhancing traveller experiences, optimizing operations, and enabling personalized services. Countries experiencing significant tourism growth increasingly use AI technologies to support and scale their tourism infrastructure. In this context, the UAE, Saudi Arabia, and Brazil present dynamic environments where surging visitor numbers and digital innovation investments are accelerating AI adoption in tourism. In addition, the travel and tourism sector in the UAE contributed nearly AED 167 billion to the GDP in 2022, with international tourist spending reaching AED 117.6 billion. These figures highlight a vibrant tourism economy, prompting government and private sectors to invest in advanced technologies. AI plays a central role in managing high visitor volumes, from intelligent hotel management systems and smart airport services to AI-powered multilingual chatbots for tourist assistance. Given the country’s broader smart city ambitions - especially in Dubai and Abu Dhabi - AI integration in tourism is further supported by robust digital infrastructure, fostering market expansion for AI-based tourism solutions. Hence, rising visitor numbers, strong government initiatives, and increasing investments in AI are collectively driving the expansion of the market across these regions.

List of Key Companies Profiled

  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • IBM Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • NVIDIA Corporation
  • Sabre Corporation
  • SAS Institute Inc.
  • Snowflake Inc.
  • Salesforce, Inc.
  • OpenAI, LLC

Market Report Segmentation

By Offering

  • Solution
  • Services

By End Use

  • Transportation & Mobility Services
  • Travel Technology Platforms & Solution Providers
  • Accommodation & Hospitality Providers
  • Tourism Experience & Attraction Operators

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 in Tourism Market, by Offering
1.4.2 LAMEA AI in Tourism Market, by End Use
1.4.3 LAMEA AI in Tourism 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. Competition Analysis - Global
4.1 Market Share Analysis, 2024
4.2 Strategies Deployed in AI in Tourism Market
4.3 Porter Five Forces Analysis
Chapter 5. LAMEA AI in Tourism Market by Offering
5.1 LAMEA Solution Market by Country
5.2 LAMEA Services Market by Country
Chapter 6. LAMEA AI in Tourism Market by End Use
6.1 LAMEA Transportation & Mobility Services Market by Country
6.2 LAMEA Travel Technology Platforms & Solution Providers Market by Country
6.3 LAMEA Accommodation & Hospitality Providers Market by Country
6.4 LAMEA Tourism Experience & Attraction Operators Market by Country
Chapter 7. LAMEA AI in Tourism Market by Country
7.1 Brazil AI in Tourism Market
7.1.1 Brazil AI in Tourism Market by Offering
7.1.2 Brazil AI in Tourism Market by End Use
7.2 Argentina AI in Tourism Market
7.2.1 Argentina AI in Tourism Market by Offering
7.2.2 Argentina AI in Tourism Market by End Use
7.3 UAE AI in Tourism Market
7.3.1 UAE AI in Tourism Market by Offering
7.3.2 UAE AI in Tourism Market by End Use
7.4 Saudi Arabia AI in Tourism Market
7.4.1 Saudi Arabia AI in Tourism Market by Offering
7.4.2 Saudi Arabia AI in Tourism Market by End Use
7.5 South Africa AI in Tourism Market
7.5.1 South Africa AI in Tourism Market by Offering
7.5.2 South Africa AI in Tourism Market by End Use
7.6 Nigeria AI in Tourism Market
7.6.1 Nigeria AI in Tourism Market by Offering
7.6.2 Nigeria AI in Tourism Market by End Use
7.7 Rest of LAMEA AI in Tourism Market
7.7.1 Rest of LAMEA AI in Tourism Market by Offering
7.7.2 Rest of LAMEA AI in Tourism Market by End Use
Chapter 8. Company Profiles
8.1 Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
8.1.1 Company Overview
8.1.2 Financial Analysis
8.1.3 Segmental and Regional Analysis
8.1.4 Research & Development Expenses
8.1.5 Recent Strategies and Developments
8.1.5.1 Partnerships, Collaborations, and Agreements
8.1.6 SWOT Analysis
8.2 IBM Corporation
8.2.1 Company Overview
8.2.2 Financial Analysis
8.2.3 Regional & Segmental Analysis
8.2.4 Research & Development Expenses
8.2.5 Recent Strategies and Developments
8.2.5.1 Partnerships, Collaborations, and Agreements
8.2.5.2 Acquisition and Mergers
8.2.6 SWOT Analysis
8.3 Amazon Web Services, Inc. (Amazon.com, Inc.)
8.3.1 Company Overview
8.3.2 Financial Analysis
8.3.3 Segmental and Regional Analysis
8.3.4 Recent Strategies and Developments
8.3.4.1 Partnerships, Collaborations, and Agreements
8.3.4.2 Product Launches and Product Expansions
8.3.5 SWOT Analysis
8.4 Microsoft Corporation
8.4.1 Company Overview
8.4.2 Financial Analysis
8.4.3 Segmental and Regional Analysis
8.4.4 Research & Development Expenses
8.4.5 SWOT Analysis
8.5 NVIDIA Corporation
8.5.1 Company Overview
8.5.2 Financial Analysis
8.5.3 Segmental and Regional Analysis
8.5.4 Research & Development Expenses
8.5.5 SWOT Analysis
8.6 Sabre Corporation
8.6.1 Company Overview
8.6.2 Financial Analysis
8.6.3 Segmental and Regional Analysis
8.6.4 SWOT Analysis
8.7 SAS Institute, Inc.
8.7.1 Company Overview
8.7.2 SWOT Analysis
8.8 Snowflake, Inc.
8.8.1 Company Overview
8.8.2 Financial Analysis
8.8.3 Regional Analysis
8.8.4 Research & Development Expenses
8.8.5 SWOT Analysis
8.9 Salesforce, Inc.
8.9.1 Company Overview
8.9.2 Financial Analysis
8.9.3 Regional Analysis
8.9.4 Research & Development Expenses
8.9.5 SWOT Analysis
8.10. OpenAI, L.L.C.
8.10.1 Company Overview
8.10.1 SWOT Analysis

Companies Mentioned

  • Huawei Technologies Co., Ltd. (Huawei Investment & Holding Co., Ltd.)
  • IBM Corporation
  • Amazon Web Services, Inc. (Amazon.com, Inc.)
  • Microsoft Corporation
  • NVIDIA Corporation
  • Sabre Corporation
  • SAS Institute Inc.
  • Snowflake Inc.
  • Salesforce, Inc.
  • OpenAI, LLC

Methodology

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