Global AI in Tourism Market Size, Share, and COVID-19 Impact Analysis, By Offering (Solution and Services), By End Use (Transportation & Mobility Services, Travel Technology Platforms & Solution Providers, Accommodation & Hospitality Providers, and Tourism Experience & Attraction Operators), and By Region (North America, Europe, Asia-Pacific, Latin America, Middle East, and Africa), Analysis and Forecast 2025 - 2035.

Global AI in Tourism Market Insights Forecasts to 2035

• The Global AI in Tourism Market Size Was Estimated at USD 2.98 Billion in 2024
• The Market Size is Expected to Grow at a CAGR of around 22.54% from 2025 To 2035
• The Worldwide AI in Tourism Market Size is Expected to Reach USD 27.89 Billion By 2035
• Asia Pacific is expected to grow the fastest during the forecast period.

The Global AI in Tourism Market Size was worth around USD 2.98 Billion in 2024 and is Predicted to grow to around USD 27.89 Billion By 2035 with a compound annual growth rate (CAGR) of 22.54% from 2025 To 2035. The AI is revolutionizing tourism by enhancing personalization, safety, and operational efficiency. As adoption grows, these innovations become integral to the modern travel experience.

Market Overview

The AI in tourism market refers to the process of enhancing consumers' overall experiences and pleasure with a product or service. In the travel industry, this entails utilizing technologies such as artificial intelligence to produce more efficient, pleasurable, and customized travel experiences.  Businesses may better fulfill the individual requirements and preferences of every visitor by utilizing AI-driven solutions like immersive virtual guides, chatbots for rapid support, and personalized suggestions. This would increase customer satisfaction, engagement, and loyalty.

An improving consumer satisfaction and safety, AI-based security systems, and customized technologies are revolutionizing the travel and tourism sector. Through quicker identification verification and real-time danger detection, these advances simplify operations at hotels, airports, and other tourist locations. By evaluating enormous volumes of user data, AI systems can enable businesses to provide highly customized travel experiences. Intelligent suggestions and dynamic itinerary modifications increase both operational effectiveness and passenger happiness. Personalized marketing techniques increase conversion rates and engagement even more. As a result, AI keeps spurring development and innovation in the international travel industry.

Report Coverage

This research report categorizes the AI in tourism market based on various segments and regions, forecasts revenue growth, and analyzes trends in each submarket. The report analyses the key growth drivers, opportunities, and challenges influencing the AI in tourism market. Recent market developments and competitive strategies such as expansion, type launch, development, partnership, merger, and acquisition have been included to draw the competitive landscape in the market. The report strategically identifies and profiles the key market players and analyses their core competencies in each sub-segment of the AI in tourism market.

Driving Factors

The provision of individualized experiences, more operational efficiency, and improved safety, artificial intelligence is transforming the travel and tourism sector. Real-time travel aides, such as Sukjai in Thailand, are prime examples of how AI enhances the traveler experience and fosters local digital transformation. To expedite transit and minimize interruptions, businesses are utilizing big data, predictive analytics, and logistics optimization. AI-powered safety solutions offer vital warnings and direction, guaranteeing a safe journey. Travelers are more satisfied and trusting thanks to this technology. These developments become essential to contemporary tourism services as AI adoption increases.

Restraining Factors

Global AI in tourism market challenges include the high cost of implementation and upkeep. Financial difficulty is exacerbated by the demand for qualified personnel, particularly for SMEs. This restricts broad utilization and widens the gap between big and small businesses. Market expansion and competitive equity are thus severely hampered.

Market Segmentation

The AI in tourism market share is classified intooffering and end use.

• The solution segment held the largest share in 2024 and is anticipated to grow at a significant CAGR during the forecast period.

Based on the offering, the AI in tourism market is classified into solution and services. Among these, the solution segment held the largest share in 2024 and is anticipated to grow at a significant CAGR during the forecast period. The segmental growth can be attributed to the software platforms and AI tools that enable automation, personalization, and data analysis. Companies are increasingly adopting AI-driven solutions to enhance user experiences and improve operational efficiency. The demand for real-time insights, dynamic pricing engines, and intelligent search capabilities is driving this segment's growth. AI solutions are being integrated into booking systems, mobile apps, and digital interfaces to streamline services. As tourism businesses shift toward smarter infrastructure, the solution segment continues to see strong traction.

• The transportation & mobility services segment accounted for the largest share in 2024 and is estimated to grow at a remarkable CAGR during the forecast period.

Based on the end use, the AI in tourism market is categorized into transportation & mobility services, travel technology platforms & solution providers, accommodation & hospitality providers, and tourism experience & attraction operators. Among these, the transportation & mobility services segment accounted for the largest share in 2024 and is estimated to grow at a remarkable CAGR during the forecast period. The segmental growth can be attributed to the extensive use of AI in fields like autonomous vehicles, dynamic pricing, and route optimization. AI is being used more and more by rail networks, airlines, and ride-sharing services to boost consumer satisfaction and operational effectiveness. In this market, predictive maintenance, real-time travel updates, and customized trip planning are becoming commonplace services. Investment in AI-powered mobility services is being driven by the increasing need for connected and seamless travel experiences.

Regional Segment Analysis of the AI in Tourism Market

• North America (U.S., Canada, Mexico) 
• Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
• Asia-Pacific (China, Japan, India, Rest of APAC)
• South America (Brazil and the Rest of South America) 
• The Middle East and Africa (UAE, South Africa, Rest of MEA)

North America is anticipated to hold the largest share of the AI in tourism market over the predicted timeframe.

North America is anticipated to hold the largest share of the AI in tourism market over the predicted timeframe. The regional growth can be attributed to the growing need for effective operating tools and individualized travel services. To enhance client engagement, booking experiences, and predictive analytics, major travel and hospitality organizations are investing in AI-driven platforms. AI-based chatbots, facial recognition at airports, and real-time language translation are all becoming more common in the region's tourism-related businesses. This tendency is also being supported by the expanding application of AI in transportation management, especially in cities with large tourist populations.

Asia Pacific is expected to grow at a rapid CAGR in the AI in tourism market during the forecast period. The region's growth is being driven by the robust government programs, growing travel industries, and broad digital use. AI is being used in nations like China, Japan, South Korea, and Thailand for smart tourism applications like AI-guided tours and crowd control. Travelers' trip planning and experiences are being revolutionized by the rising popularity of super-apps that combine AI skills with travel services. Recommendation engines and advanced analytics are being utilized to customize vacation packages and increase client loyalty. The development of AI ecosystems for tourism is mostly being driven by regional IT companies.

Competitive Analysis:

The report offers the appropriate analysis of the key organizations/companies involved within the AI in tourism market, along with a comparative evaluation primarily based on their type of offering, business overviews, geographic presence, enterprise strategies, segment market share, and SWOT analysis. The report also provides an elaborative analysis focusing on the current news and developments of the companies, which includes type development, innovations, joint ventures, partnerships, mergers & acquisitions, strategic alliances, and others. This allows for the evaluation of the overall competition within the market.

List of Key Companies

• Amazon Web Services, Inc.
• Snowflake Inc.
• Appier Inc.
• SAS Institute Inc.
• Huawei Technologies Co., Ltd.
• Salesforce, Inc.
• IBM Corporation
• Sabre Corporation
• Microsoft
• NVIDIA Corporation
• Others.

Key Target Audience

• Market Players
• Investors
• End-users
• Government Authorities 
• Consulting And Research Firm
• Venture capitalists
• Value-Added Resellers (VARs) 

Recent Development

• In March 2025, Riyadh Air increased its relationship with IBM Corporation to integrate artificial intelligence into its operations, making it the world's first entirely digital-native airline. The program focuses on leveraging IBM's AI technologies, including Watsonx and Agentic AI, to improve customer experience, expedite flight operations, and drive intelligent decision-making while maintaining data security and responsible AI deployment.

Market Segment

This study forecasts revenue at global, regional, and country levels from 2020 to 2035. Spherical Insights has segmented the AI in tourism market based on the below-mentioned segments: 

Global AI in Tourism Market, By Offering

• Solution
• Services

Global AI in Tourism Market, By End Use

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

Global AI in Tourism Market, By Regional Analysis

• North America
  • US
  • Canada
  • Mexico
• Europe
  • Germany
  • UK
  • France
  • Italy
  • Spain
  • Russia
  • Rest of Europe
• Asia Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Rest of Asia Pacific
• South America
  • Brazil
  • Argentina
  • Rest of South America
• Middle East & Africa
  • UAE
  • Saudi Arabia
  • Qatar
  • South Africa
  • Rest of the Middle East & Africa