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.
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
Chapter 2. Market at a Glance
Chapter 3. Market Overview
Chapter 4. Competition Analysis - Global
Chapter 5. Asia Pacific AI in Tourism Market by Offering
Chapter 6. Asia Pacific AI in Tourism Market by End Use
Chapter 7. Asia Pacific AI in Tourism Market by Country
Chapter 8. Company Profiles
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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