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Asia Pacific 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

  • 115 Pages
  • April 2025
  • Region: Asia Pacific
  • Marqual IT Solutions Pvt. Ltd (KBV Research)
  • ID: 6077220
The Asia Pacific AI in Tourism Market is expected to witness market growth of 27.2% CAGR during the forecast period (2025-2032).

The China market dominated the Asia Pacific 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 $1.74 billion by 2032. The Japan market is registering a CAGR of 26.4% during 2025-2032. Additionally, the India market is expected to showcase a CAGR of 28.1% during 2025-2032.



AI-powered recommendation engines provide tailored suggestions for destinations, accommodations, activities, and local restaurants. These systems enhance the customer journey by making it easier for travellers to find options that match their interests, needs, and budgets. Furthermore, AI enables travel businesses to predict demand patterns, such as peak travel seasons, special events, or destination popularity, through predictive analytics.

AI tools can anticipate customer demand and optimize inventory management, pricing strategies, and staffing by analyzing data from various sources, including social media, historical booking trends, and weather forecasts. Travel planning is often a cumbersome process for tourists, involving multiple platforms and sources of information.

India’s robust economic performance, with Gross National Disposable Income (GNDI) rising by 17.4% in 2021-22, indicates increased financial capacity among businesses and consumers. This upward trend supports higher domestic tourism spending and greater investments in travel infrastructure and digital solutions. Additionally, South Asia’s prominence as a major tourism hub - with over 490 million international visitors in 2018, according to the World Bank - creates a strong regional demand for scalable and smart tourism systems. In this environment, AI is increasingly adopted in India for virtual travel assistants, real-time translation tools, and predictive systems in hotel and transport sectors, fostering a vibrant market. In addition, China’s AI industry is rapidly maturing, as evidenced by $4.9 billion in funding secured by AI startups through just 19 deals, showing a clear national focus on advanced and scalable AI deployments. This investment surge directly influences the tourism sector, especially as the country continues positioning itself as a tech-driven global travel destination. Thus, India’s economic momentum, China’s AI investment leadership, and Japan’s tourism resurgence each create fertile ground for the rapid expansion of the market.

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

  • China
  • Japan
  • India
  • South Korea
  • Singapore
  • Malaysia
  • Rest of Asia Pacific

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 Asia Pacific AI in Tourism Market, by Offering
1.4.2 Asia Pacific AI in Tourism Market, by End Use
1.4.3 Asia Pacific 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. Asia Pacific AI in Tourism Market by Offering
5.1 Asia Pacific Solution Market by Country
5.2 Asia Pacific Services Market by Country
Chapter 6. Asia Pacific AI in Tourism Market by End Use
6.1 Asia Pacific Transportation & Mobility Services Market by Country
6.2 Asia Pacific Travel Technology Platforms & Solution Providers Market by Country
6.3 Asia Pacific Accommodation & Hospitality Providers Market by Country
6.4 Asia Pacific Tourism Experience & Attraction Operators Market by Country
Chapter 7. Asia Pacific AI in Tourism Market by Country
7.1 China AI in Tourism Market
7.1.1 China AI in Tourism Market by Offering
7.1.2 China AI in Tourism Market by End Use
7.2 Japan AI in Tourism Market
7.2.1 Japan AI in Tourism Market by Offering
7.2.2 Japan AI in Tourism Market by End Use
7.3 India AI in Tourism Market
7.3.1 India AI in Tourism Market by Offering
7.3.2 India AI in Tourism Market by End Use
7.4 South Korea AI in Tourism Market
7.4.1 South Korea AI in Tourism Market by Offering
7.4.2 South Korea AI in Tourism Market by End Use
7.5 Singapore AI in Tourism Market
7.5.1 Singapore AI in Tourism Market by Offering
7.5.2 Singapore AI in Tourism Market by End Use
7.6 Malaysia AI in Tourism Market
7.6.1 Malaysia AI in Tourism Market by Offering
7.6.2 Malaysia AI in Tourism Market by End Use
7.7 Rest of Asia Pacific AI in Tourism Market
7.7.1 Rest of Asia Pacific AI in Tourism Market by Offering
7.7.2 Rest of Asia Pacific 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
8.10.2 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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