관광업용 AI 시장 : 제공 구분(솔루션, 서비스), 최종사용자 산업(여행 및 호스피탈리티), 지역별 기회 및 예측(2018-2032년)

Global AI in tourism market is projected to witness a CAGR of 17.31% during the forecast period 2025-2032, growing from USD 3.08 billion in 2024 to USD 11.05 billion in 2032. Rising demand for personalized travel experiences, operational efficiency, and 24/7 customer support fuels AI adoption. Key drivers include chatbots for instant booking assistance, dynamic pricing algorithms, predictive analytics for demand forecasting, AI-powered recommendation engines, and contactless technologies. Labor cost reduction and big data integration further accelerate market growth, enhancing both customer satisfaction and business profitability.

The global AI in tourism market is growing due to an expansion in the tourism industry and the growing inclination of companies towards AI to help users and employ effective programs. AI features, including chatbots, predictive analytics and recommendation engines, are making personalized travel planning possible, and for some, it will become the norm. Widespread adoption is being driven by the requirement for personalized travel experience, as well as the need to cut costs and remain competitive. From itinerary recommendations to in-action support, AI is reshaping the delivery of services throughout airlines, hotels and travel platforms. With the speed of innovation increasing, the market is likely to grow further in the years ahead.

For example, in December 2024, Wipro Limited teamed up with Siam AI Corporation Co., Ltd., and NVIDIA Corporation (NVIDIA AI) to build an AI assistant for the Tourism Authority of Thailand (TAT). The new solution is designed to improve services provided by the Thai tourism industry with help that is tailored to travellers, in real time. Using innovative AI technology from NVIDIA, the assistant can comprehend and respond to natural language queries, assisting travellers with local recommendations and answers to frequent questions, as well as general travel guidance.

Increasing Operational Excellence Drives Global AI in Tourism Market

AI systems make operations more efficient by automating simple processes, such as booking, check-in, and customer service. This level of automation means that staff can focus on doing more worthy things; in other words, it results in faster service turnarounds and cost savings. Cut down on repetitive tasks to drive efficiency and allocate resources more effectively. In return, staff can concentrate on improving customer experience overall, creating a much faster and more responsive environment. The use of AI is not just about streamlining processes; it is about offering space for teams to innovate and improve the level of service they provide and in these corporate times, it is essential for any business that wants to compete in a planetary marketplace.

For instance, in May 2024, IBM Corporation and Salesforce, Inc., announced a collaboration to establish an open, trustworthy AI-enabled data platform to enable operational excellence across sectors such as tourism. Leveraging IBM's watsonx AI and Salesforce's Einstein 1 Platform, this partnership will help companies to connect with their customers in a whole new way by embedding relevant insights and recommendations into every customer interaction. By bringing IBM's state-of-the-art AI models and LLMs on Salesforce's platform, travel businesses can deliver highly tailored customer experiences and make better business decisions.

Improved Customer Experience Influencing the Global Market

AI can drastically improve customer experience by delivering unique experience with personalized suggestions and itineraries based on specific preferences. With this degree of customization, you can encourage engagement and contentment with your customers. Moreover, chatbots and virtual assistants (powered by AI) help in providing customers with prompt and effective responses around the clock, answering their queries and supporting them in the case of an issue. AI can help businesses offer more personalized and conversational experiences to make customers feel heard and appreciated. AI, in the end, changes how businesses interact with their customers, creating more meaningful and maybe more fun interactions.

For example, in April 2024, Sabre GLBL Inc. and InterparkTriple Corp. launched a strategic technology partnership to align with the power of Sabre Travel AI. Through this collaboration, Interpark Triple's travel solutions will be heightened by the incorporation of Sabre's sophisticated, new AI-powered technology for a more personalized, dynamic, and seamless travel experience. Powered by Sabre Travel AI, the alliance will help enhance traveller experience, streamline operations, and improve decision support with the capabilities of the future of booking and itinerary management.

Solution Segment to Witness Massive Growth in the Global AI in Tourism Market

The solution segment is expected to grow significantly in the global AI in tourism market, as there is a growing demand to streamline software and AI tools to automate, personalize, and analyze the data. In addition, companies increasingly realize the advantages of these technologies, which have rapidly developed with an extremely high demand for cutting-edge AI solutions in the travel industry that continues to shape the future of travel and hospitality.

For example, in July 2023, Seibu Railway unveiled an AI-based translation device, bringing a tectonic shift in the tourism industry and is one of the prominent innovations in the emerging solution segment of the global AI in tourism industry. This see-through codec, created by Toppan, converts spoken words into live text in languages such as English, Chinese and Thai. This feature can assist station employees to cope with international travels with ease, the language problem, and improve their service. It's an excellent illustration of how AI-powered solutions are revolutionizing the travel industry and making it simpler for customers to access services.

North America Leads in Global AI in Tourism Market

North America is leading the global AI in tourism market due to the mature technology infrastructure and digital adoption across the region. The area has taken the lead in the adoption of AI-enabled solutions throughout the tourism value chain, from virtual travel assistants, smart booking engines, and real-time language translation, to predictive analytics so demand can be predicted. Smartphone penetration and the adoption of early technology also allow the smooth integration of AI tools. Further, powerful investments by private and public, as well as strong research and innovation clusters in the U.S. and Canada, are still pushing the boundaries. With the growth of smart tourism initiatives and the maturation of AI regulations, the lead of North America is anticipated to become even more apparent.

For example, in May 2024, Korean Air Lines Co., Ltd. and Amazon Web Services Inc. (AWS) signed an agreement to launch an AI-based cloud platform for improving customer service in the tourism-related industries. The new system with smart voice and chatbots provides faster, individual support for travellers. By running its operations on AWS, Korean Air aims to enhance operational efficiency and improve passengers' travel experience, providing faster, more responsive service for both domestic and international travellers.

Impact of U.S. Tariffs on Global AI in Tourism Market

U.S. tariffs have begun to roil the world's artificial intelligence and tourism sectors. Semiconductors, which form the foundation of A.I., remain mostly intact, but cost increases for materials used in data center construction are starting to slow the deployment of AI tools such as travel assistants and booking bots. On the tourism side, international travelers are opting less and less to come to the U.S. because of expensive prices and draconian policies. Meanwhile, destinations such as Japan and Thailand are catching on, as tourists and tech investment continue to look abroad.

Key Players Landscape and Outlook

The tourism AI market is the next thing to watch out for, as more people seek their travel to be personalized, operations to be efficient, and customer service to be seamless. Travelers are increasingly demanding personalized and insightful conversations from brands, and AI can efficiently handle tasks like real-time itinerary updates, smart booking systems, flexible pricing, smart customer support and so on. Machine learning, natural language processing, and predictive analytics are redesigning the way travel services are provided. As global tourism and digital adoption continue to rise, the market with an increase in global tourism and digital penetration, the market is anticipated to register a steady growth, especially in the smart tourism and digital transformation prevalent regions.

For example, in September 2024, Snowflake Inc. announced that its AI Data Cloud is enabling verticals, such as travel and hospitality, to transform by putting AI into action. It fosters collaboration across departments and with partners, enabling easier data sharing. And more importantly, its changing what businesses know and how they engage with customers, creating more personalized, responsive experiences that travelers value. It is a smarter, more connected way to advance the industry.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Impact of U.S. Tariffs

4. Executive Summary

5. Voice of Customers

• 5.1. Respondent Demographics
• 5.2. Brand Awareness
• 5.3. Factors Considered in Purchase Decisions
• 5.4. Challenges Faced Post Purchase

6. Global AI in Tourism Market Outlook, 2018-2032F

• 6.1. Market Size Analysis & Forecast
  • 6.1.1. By Value
• 6.2. Market Share Analysis & Forecast
  • 6.2.1. By Offerings
    • 6.2.1.1. Solutions
      • 6.2.1.1.1. Booking Management System
      • 6.2.1.1.2. Virtual Assistant and Chatbots
      • 6.2.1.1.3. Pricing and Revenue Management
      • 6.2.1.1.4. Customer Experience Management
      • 6.2.1.1.5. Security and Surveillance System
      • 6.2.1.1.6. Others
    • 6.2.1.2. Services
      • 6.2.1.2.1. Professional Services
      • 6.2.1.2.2. Managed Services
  • 6.2.2. By End-user Industry
    • 6.2.2.1. Travel Industry
      • 6.2.2.1.1. Aviation
      • 6.2.2.1.2. Car Rental and Mobility Providers
      • 6.2.2.1.3. Others
    • 6.2.2.2. Hospitality Industry
      • 6.2.2.2.1. Hotels
      • 6.2.2.2.2. Resorts and Theme Parks
      • 6.2.2.2.3. Cruise Line Operators
      • 6.2.2.2.4. Others
  • 6.2.3. By Region
    • 6.2.3.1. North America
    • 6.2.3.2. Europe
    • 6.2.3.3. Asia-Pacific
    • 6.2.3.4. South America
    • 6.2.3.5. Middle East and Africa
  • 6.2.4. By Company Market Share Analysis (Top 5 Companies and Others - By Value, 2024)
• 6.3. Market Map Analysis, 2024
  • 6.3.1. By Offerings
  • 6.3.2. By End-user Industry
  • 6.3.3. By Region

7. North America AI in Tourism Market Outlook, 2018-2032F

• 7.1. Market Size Analysis & Forecast
  • 7.1.1. By Value
• 7.2. Market Share Analysis & Forecast
  • 7.2.1.1. By Offerings
    • 7.2.1.1.1. Solutions
      • 7.2.1.1.1.1. Booking Management System
      • 7.2.1.1.1.2. Virtual Assistant and Chatbots
      • 7.2.1.1.1.3. Pricing and Revenue Management
      • 7.2.1.1.1.4. Customer Experience Management
      • 7.2.1.1.1.5. Security and Surveillance System
      • 7.2.1.1.1.6. Others
    • 7.2.1.1.2. Services
      • 7.2.1.1.2.1. Professional Services
      • 7.2.1.1.2.2. Managed Services
  • 7.2.2. By End-user Industry
    • 7.2.2.1. Travel Industry
      • 7.2.2.1.1. Aviation
      • 7.2.2.1.2. Car Rental and Mobility Providers
      • 7.2.2.1.3. Others
    • 7.2.2.2. Hospitality Industry
      • 7.2.2.2.1. Hotels
      • 7.2.2.2.2. Resorts and Theme Parks
      • 7.2.2.2.3. Cruise Line Operators
      • 7.2.2.2.4. Others
  • 7.2.3. By Country
    • 7.2.3.1. United States
    • 7.2.3.2. Canada
    • 7.2.3.3. Mexico
• 7.3. Country Market Assessment
  • 7.3.1. United States AI in Tourism Market Outlook, 2018-2032F
    • 7.3.1.1. Market Size Analysis & Forecast
      • 7.3.1.1.1. By Value
    • 7.3.1.2. Market Share Analysis & Forecast
      • 7.3.1.2.1. By Offerings
        • 7.3.1.2.1.1. Solutions
        • 7.3.1.2.1.1.1. Booking Management System
        • 7.3.1.2.1.1.2. Virtual Assistant and Chatbots
        • 7.3.1.2.1.1.3. Pricing and Revenue Management
        • 7.3.1.2.1.1.4. Customer Experience Management
        • 7.3.1.2.1.1.5. Security and Surveillance System
        • 7.3.1.2.1.1.6. Others
        • 7.3.1.2.1.2. Services
        • 7.3.1.2.1.2.1. Professional Services
        • 7.3.1.2.1.2.2. Managed Services
      • 7.3.1.2.2. By End-user Industry
        • 7.3.1.2.2.1. Travel Industry
        • 7.3.1.2.2.1.1. Aviation
        • 7.3.1.2.2.1.2. Car Rental and Mobility Providers
        • 7.3.1.2.2.1.3. Others
        • 7.3.1.2.2.2. Hospitality Industry
        • 7.3.1.2.2.2.1. Hotels
        • 7.3.1.2.2.2.2. Resorts and Theme Parks
        • 7.3.1.2.2.2.3. Cruise Line Operators
        • 7.3.1.2.2.2.4. Others

All segments will be provided for all regions and countries covered

8. Europe AI in Tourism Market Outlook, 2018-2032F

• 8.1. Germany
• 8.2. France
• 8.3. Italy
• 8.4. United Kingdom
• 8.5. Russia
• 8.6. Netherlands
• 8.7. Spain
• 8.8. Turkey
• 8.9. Poland

9. Asia-Pacific AI in Tourism Market Outlook, 2018-2032F

• 9.1. India
• 9.2. China
• 9.3. Japan
• 9.4. Australia
• 9.5. Vietnam
• 9.6. South Korea
• 9.7. Indonesia
• 9.8. Philippines

10. South America AI in Tourism Market Outlook, 2018-2032F

• 10.1. Brazil
• 10.2. Argentina

11. Middle East and Africa AI in Tourism Market Outlook, 2018-2032F

• 11.1. Saudi Arabia
• 11.2. UAE
• 11.3. South Africa

12. Porter's Five Forces Analysis

13. PESTLE Analysis

14. Market Dynamics

• 14.1. Market Drivers
• 14.2. Market Challenges

15. Market Trends and Developments

16. Case Studies

17. Competitive Landscape

• 17.1. Competition Matrix of Top 5 Market Leaders
• 17.2. SWOT Analysis for Top 5 Players
• 17.3. Key Players Landscape for Top 10 Market Players
  • 17.3.1. Snowflake Inc.
    • 17.3.1.1. Company Details
    • 17.3.1.2. Key Management Personnel
    • 17.3.1.3. Key Products/Services Offered
    • 17.3.1.4. Key Financials (As Reported)
    • 17.3.1.5. Key Market Focus and Geographical Presence
    • 17.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 17.3.2. SAS Institute Inc.
  • 17.3.3. Salesforce, Inc.
  • 17.3.4. Sabre GLBL Inc.
  • 17.3.5. NVIDIA Corporation
  • 17.3.6. Microsoft Corporation
  • 17.3.7. IBM Corporation
  • 17.3.8. Huawei Technologies Co., Ltd.
  • 17.3.9. Appier Inc.
  • 17.3.10. Amazon Web Services, Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

18. Strategic Recommendations

19. About Us and Disclaimer