The Global AI in Tourism Market size is expected to reach $20.70 billion by 2032, rising at a market growth of 26.3% CAGR during the forecast period.
The North America segment recorded 37% revenue share in the market in 2024. This growth can be attributed to the strong presence of advanced technological infrastructure, widespread adoption of AI across industries, and a well-established regional tourism sector. Major players in the travel and hospitality industry across the U.S. and Canada have been actively leveraging AI to enhance customer experience, optimize pricing strategies, and streamline operations.
The increasing desire for personalized travel experiences is one of the primary drivers of the market. Consumers today seek more customized and unique experiences, moving away from standard packages and mass tourism. AI technology is crucial in responding to this demand, enabling tourism companies to offer tailored travel recommendations, accommodations, and itineraries based on individual preferences and historical data. Therefore, the rising demand for personalized travel experiences propels the market's growth.
Additionally, Rising investments in AI research and development (R&D) within the tourism industry drive the rapid adoption of AI technologies across diverse travel and tourism sector segments. With significant funding flowing into AI-driven innovations, there has been a surge in the development of AI-based solutions designed to enhance operational efficiency, optimize customer experiences, and offer predictive insights. Thus, increased investments in AI research and tourism development are propelling the market's growth.
However, One of the significant restraints in AI adoption within the tourism sector is the high initial investment and development costs associated with integrating AI technologies. While AI offers substantial benefits, including operational efficiencies, personalized experiences, and improved customer service, the costs of implementing AI systems can be prohibitive for small and medium-sized businesses. Thus, high initial investment and development costs for AI integration in tourism are hindering market growth.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.
The North America segment recorded 37% revenue share in the market in 2024. This growth can be attributed to the strong presence of advanced technological infrastructure, widespread adoption of AI across industries, and a well-established regional tourism sector. Major players in the travel and hospitality industry across the U.S. and Canada have been actively leveraging AI to enhance customer experience, optimize pricing strategies, and streamline operations.
The increasing desire for personalized travel experiences is one of the primary drivers of the market. Consumers today seek more customized and unique experiences, moving away from standard packages and mass tourism. AI technology is crucial in responding to this demand, enabling tourism companies to offer tailored travel recommendations, accommodations, and itineraries based on individual preferences and historical data. Therefore, the rising demand for personalized travel experiences propels the market's growth.
Additionally, Rising investments in AI research and development (R&D) within the tourism industry drive the rapid adoption of AI technologies across diverse travel and tourism sector segments. With significant funding flowing into AI-driven innovations, there has been a surge in the development of AI-based solutions designed to enhance operational efficiency, optimize customer experiences, and offer predictive insights. Thus, increased investments in AI research and tourism development are propelling the market's growth.
However, One of the significant restraints in AI adoption within the tourism sector is the high initial investment and development costs associated with integrating AI technologies. While AI offers substantial benefits, including operational efficiencies, personalized experiences, and improved customer service, the costs of implementing AI systems can be prohibitive for small and medium-sized businesses. Thus, high initial investment and development costs for AI integration in tourism are hindering market growth.
The leading players in the market are competing with diverse innovative offerings to remain competitive in the market. The above illustration shows the percentage of revenue shared by some of the leading companies in the market. The leading players of the market are adopting various strategies in order to cater demand coming from the different industries. The key developmental strategies in the market are Acquisitions, and Partnerships & Collaborations.
Driving and Restraining Factors
Drivers
- Rising Demand For Personalized Travel Experiences
- Increased Investments In AI Research And Development In Tourism
- Rising Digital Transformation Across Industries Worldwide
Restraints
- High Initial Investment And Development Costs For AI Integration In Tourism
- Concerns Over Data Privacy And Cybersecurity
Opportunities
- AI-Enabled Social Media Insights For Building Travel Campaigns And Influencer Partnerships
- Proliferation Of Mobile Applications And Digital Platforms
Challenges
- Ensuring The Accuracy And Reliability Of AI-Driven Recommendations And Predictions
- Integration Challenges Between AI Systems And Existing Travel Infrastructure
Offering Outlook
Based on offering, the market is characterized into solution and services. The services segment procured 37% revenue share in the market in 2024. This segment includes consulting, integration, and support services that help organizations implement and optimize AI technologies within their operations. With increasing awareness of AI's benefits, tourism businesses are seeking expert guidance to integrate AI into legacy systems, ensure scalability, and maintain smooth operations.End Use Outlook
On the basis of end use, the market is classified into transportation & mobility services, travel technology platforms & solution providers, accommodation & hospitality providers, and tourism experience & attraction operators. The travel technology platforms & solution providers segment recorded 27% revenue share in the market in 2024. This segment includes companies that develop and deliver digital platforms, software solutions, and AI-driven tools that support tourism businesses in managing bookings, customer engagement, data analytics, and personalization. The growing reliance on cloud-based platforms and intelligent software by travel agencies, tour operators, and online travel aggregators has fuelled demand for AI-powered solutions.
Regional Outlook
Region-wise, the market is analyzed across North America, Europe, Asia Pacific, and LAMEA. The Europe segment witnessed 29% revenue share in the market in 2024. Countries across the region have been increasingly integrating AI technologies into their tourism services to attract more international visitors and improve service efficiency. Implementing AI-driven tools such as virtual travel assistants, smart recommendations, and multilingual customer support has improved tourist travel experiences.- Apr-2025: IBM Corporation acquired Hakkoda Inc., enhancing its AI and data consultancy services. This move strengthens IBM's ability to help clients with AI-powered business operations, potentially benefiting industries like tourism through improved data utilization and AI-driven innovations.
- Mar-2025: Amazon Web Services, Inc. has launched Alexa+, a generative AI-powered digital assistant designed to enhance travel experiences. With integrations from partners like Tripadvisor and Uber, Alexa+ allows users to book rides, make reservations, and receive travel recommendations, marking a significant innovation in the AI-driven tourism market.
- Mar-2025: Amazon Web Services, Inc. and Accor has partnered to introduce an AI-powered travel assistant. This collaboration aims to enhance personalized travel experiences, streamline bookings, and support guests throughout their journey, leveraging AWS’s AI capabilities to cater to multimodal travelers.
- Mar-2025: Huawei Technologies Co., Ltd. came into partnership with Meliá Hotels International to launch an AI-driven Smart Hotel Showcase, integrating AI, IoT, and smart connectivity to enhance guest experiences, boost operational efficiency, and support sustainability in the evolving AI in Tourism Market.
- Oct-2024: Huawei partnered with Talaat Moustafa Group (TMG) to launch AI-powered cloud services in Egypt, supporting smart city development through NOOR Cloud. This collaboration enhances digital infrastructure, enabling smart tourism, real-time data analytics, and advanced urban experiences within the AI in Tourism 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 Geography
- North America
- US
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- UK
- France
- Russia
- Spain
- Italy
- Rest of Europe
- Asia Pacific
- China
- Japan
- India
- South Korea
- Singapore
- Malaysia
- Rest of Asia Pacific
- LAMEA
- Brazil
- Argentina
- UAE
- Saudi Arabia
- South Africa
- Nigeria
- Rest of LAMEA
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. Global AI in Tourism Market by Offering
Chapter 6. Global AI in Tourism Market by End Use
Chapter 7. Global AI in Tourism Market by Region
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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