Global Artificial Intelligence in Tourism Market Size Study & Forecast, by Offering, End Use and Regional Forecasts 2025-2035

Description

The Global Artificial Intelligence in Tourism Market is valued at approximately USD 3.37 billion in 2024 and is expected to surge at a compelling CAGR of 26.70% over the forecast period 2025-2035. As global travelers increasingly demand tailored, seamless, and immersive experiences, AI has emerged as the backbone of intelligent transformation across the tourism sector. By automating workflows, enhancing personalization, optimizing logistics, and predicting traveler behavior, AI is fundamentally reshaping how businesses engage with tourists before, during, and after their journeys. Whether it's a chatbot offering real-time multilingual assistance or an algorithm crafting hyper-personalized itineraries, the integration of AI is enabling unprecedented levels of efficiency and engagement in tourism operations.

The market's ascent is being accelerated by a wave of adoption across both digital-first platforms and traditional service providers. Travel aggregators, booking platforms, and tour operators are leveraging machine learning to recommend destinations based on past preferences, analyze vast data sets for pricing optimization, and even use computer vision for passport recognition or sentiment analysis from travel reviews. Additionally, AI is playing a crucial role in predictive analytics for crowd management, weather forecasting for itinerary planning, and even carbon footprint estimations-pushing the tourism sector into a smarter, more sustainable future. This multifaceted application of AI not only reduces operational friction but enhances consumer trust and loyalty through personalized experiences and proactive customer service.

Geographically, North America is anticipated to dominate the global AI in tourism market in 2025, underpinned by its advanced digital infrastructure, early technology adoption, and a robust ecosystem of AI vendors and travel tech startups. The United States, in particular, has been at the forefront of integrating AI in loyalty programs, dynamic pricing engines, and airport automation. Meanwhile, Asia Pacific is projected to be the fastest-growing region during the forecast period, driven by rising disposable income, digitalization of tourism services, and increasing investment in smart city and smart tourism initiatives in countries like China, India, and Japan. Europe, known for its rich cultural heritage and heavy tourism inflow, is also investing heavily in AI to promote sustainable tourism and manage overtourism through data-driven strategies.

Major market player included in this report are:

Google LLC
IBM Corporation
Amadeus IT Group SA
Microsoft Corporation
Amazon Web Services
Salesforce Inc.
Sabre Corporation
Tripadvisor Inc.
Adobe Inc.
Expedia Group Inc.
Baidu Inc.
Travelport Worldwide Ltd.
Skyscanner Ltd.
Airbnb Inc.
Meta Platforms Inc.

Global Artificial Intelligence in Tourism Market Report Scope:

Historical Data - 2023, 2024
Base Year for Estimation - 2024
Forecast period - 2025-2035
Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Offering:

Solution
Services

By End Use:

Transportation & Mobility Services
Travel Technology Platforms & Solution Providers

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Middle East & Africa
UAE
Saudi Arabia
South Africa
Rest of Middle East & Africa

Key Takeaways:

Market Estimates & Forecast for 10 years from 2025 to 2035.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global Artificial Intelligence in Tourism Market Report Scope & Methodology

1.1. Research Objective
1.2. Research Methodology
- 1.2.1. Forecast Model
- 1.2.2. Desk Research
- 1.2.3. Top-Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
- 1.4.1. Market Definition
- 1.4.2. Market Segmentation
1.5. Research Assumption
- 1.5.1. Inclusion & Exclusion
- 1.5.2. Limitations
- 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings

Chapter 3. Global AI in Tourism Market Forces Analysis

3.1. Market Forces Shaping the Global AI in Tourism Market (2024-2035)
3.2. Drivers
- 3.2.1. Rising Demand for Personalized and Immersive Traveler Experiences
- 3.2.2. Automation of Operations and Predictive Analytics for Efficiency
3.3. Restraints
- 3.3.1. Concerns over Data Privacy, Security, and Regulatory Compliance
- 3.3.2. High Implementation Costs and Integration Complexity
3.4. Opportunities
- 3.4.1. Expansion in Emerging Tourism Markets and Smart City Initiatives
- 3.4.2. Adoption of AI for Sustainable and Contactless Travel Solutions

Chapter 4. Global AI in Tourism Industry Analysis

4.1. Porter's Five Forces Model
- 4.1.1. Bargaining Power of Buyers
- 4.1.2. Bargaining Power of Suppliers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
4.2. Porter's Five Forces Forecast Model (2024-2035)
4.3. PESTEL Analysis
- 4.3.1. Political
- 4.3.2. Economic
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024-2025)
4.7. Global Pricing Analysis and Trends (2025)
4.8. Analyst Recommendations & Conclusion

Chapter 5. Global AI in Tourism Market Size & Forecasts by Offering 2025-2035

5.1. Market Overview
5.2. Solution
- 5.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.2.2. Market Size Analysis, by Region, 2025-2035
5.3. Services
- 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.3.2. Market Size Analysis, by Region, 2025-2035

Chapter 6. Global AI in Tourism Market Size & Forecasts by End Use 2025-2035

6.1. Market Overview
6.2. Transportation & Mobility Services
- 6.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.2.2. Market Size Analysis, by Region, 2025-2035
6.3. Travel Technology Platforms & Solution Providers
- 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.3.2. Market Size Analysis, by Region, 2025-2035

Chapter 7. Global AI in Tourism Market Size & Forecasts by Region 2025-2035

7.1. Global Market, Regional Snapshot
7.2. Top Leading & Emerging Countries
7.3. North America AI in Tourism Market
- 7.3.1. U.S. AI in Tourism Market
  - 7.3.1.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.3.1.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.3.2. Canada AI in Tourism Market
  - 7.3.2.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.3.2.2. End Use Breakdown Size & Forecasts, 2025-2035
7.4. Europe AI in Tourism Market
- 7.4.1. UK AI in Tourism Market
  - 7.4.1.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.4.1.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.4.2. Germany AI in Tourism Market
  - 7.4.2.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.4.2.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.4.3. France AI in Tourism Market
  - 7.4.3.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.4.3.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.4.4. Spain AI in Tourism Market
  - 7.4.4.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.4.4.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.4.5. Italy AI in Tourism Market
  - 7.4.5.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.4.5.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.4.6. Rest of Europe AI in Tourism Market
  - 7.4.6.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.4.6.2. End Use Breakdown Size & Forecasts, 2025-2035
7.5. Asia Pacific AI in Tourism Market
- 7.5.1. China AI in Tourism Market
  - 7.5.1.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.5.1.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.5.2. India AI in Tourism Market
  - 7.5.2.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.5.2.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.5.3. Japan AI in Tourism Market
  - 7.5.3.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.5.3.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.5.4. Australia AI in Tourism Market
  - 7.5.4.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.5.4.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.5.5. South Korea AI in Tourism Market
  - 7.5.5.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.5.5.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.5.6. Rest of APAC AI in Tourism Market
  - 7.5.6.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.5.6.2. End Use Breakdown Size & Forecasts, 2025-2035
7.6. Latin America AI in Tourism Market
- 7.6.1. Brazil AI in Tourism Market
  - 7.6.1.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.6.1.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.6.2. Mexico AI in Tourism Market
  - 7.6.2.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.6.2.2. End Use Breakdown Size & Forecasts, 2025-2035
7.7. Middle East & Africa AI in Tourism Market
- 7.7.1. UAE AI in Tourism Market
  - 7.7.1.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.7.1.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.7.2. Saudi Arabia AI in Tourism Market
  - 7.7.2.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.7.2.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.7.3. South Africa AI in Tourism Market
  - 7.7.3.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.7.3.2. End Use Breakdown Size & Forecasts, 2025-2035
- 7.7.4. Rest of Middle East & Africa AI in Tourism Market
  - 7.7.4.1. Offering Breakdown Size & Forecasts, 2025-2035
  - 7.7.4.2. End Use Breakdown Size & Forecasts, 2025-2035

Chapter 8. Competitive Intelligence

8.1. Top Market Strategies
8.2. Google LLC
- 8.2.1. Company Overview
- 8.2.2. Key Executives
- 8.2.3. Company Snapshot
- 8.2.4. Financial Performance (Subject to Data Availability)
- 8.2.5. Product/Services Portfolio
- 8.2.6. Recent Developments
- 8.2.7. Market Strategies
- 8.2.8. SWOT Analysis
8.3. IBM Corporation
8.4. Amadeus IT Group SA
8.5. Microsoft Corporation
8.6. Amazon Web Services
8.7. Salesforce Inc.
8.8. Sabre Corporation
8.9. Tripadvisor Inc.
8.10. Adobe Inc.
8.11. Expedia Group Inc.
8.12. Baidu Inc.
8.13. Travelport Worldwide Ltd.
8.14. Skyscanner Ltd.
8.15. Airbnb Inc.
8.16. Meta Platforms Inc.