Generative AI In Travel Market Size, Share, and Trends 2026 to 2035

Generative AI In Travel Market (By Type: Air Travel, Rail Travel, Cruise Travel; By Service Type: Accommodation Services, Transportation Services; By Deployment: Cloud-Based Model, On-Premises, Hybrid Model) - Global Industry Analysis, Size, Trends, Leading Companies, Regional Outlook, and Forecast 2026 to 2035

Last Updated : 06 Jan 2026  |  Report Code : 3118  |  Category : ICT   |  Format : PDF / PPT / Excel

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology (Premium Insights)

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Generative AI in Travel Market 

5.1. COVID-19 Landscape: Generative AI in Travel Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Generative AI in Travel Market, By Type

8.1. Generative AI in Travel Market, by Type

8.1.1 Air Travel

8.1.1.1. Market Revenue and Forecast

8.1.2. Rail Travel

8.1.2.1. Market Revenue and Forecast

8.1.3. Cruise Travel

8.1.3.1. Market Revenue and Forecast

Chapter 9. Global Generative AI in Travel Market, By Service Type

9.1. Generative AI in Travel Market, by Service Type

9.1.1. Accommodation Services

9.1.1.1. Market Revenue and Forecast

9.1.2. Transportation Services

9.1.2.1. Market Revenue and Forecast

Chapter 10. Global Generative AI in Travel Market, By Deployment 

10.1. Generative AI in Travel Market, by Deployment

10.1.1. Cloud-Based Model

10.1.1.1. Market Revenue and Forecast

10.1.2. On-Premises

10.1.2.1. Market Revenue and Forecast

10.1.3. Hybrid Model

10.1.3.1. Market Revenue and Forecast

Chapter 11. Global Generative AI in Travel Market, Regional Estimates and Trend Forecast

11.1. North America

11.1.1. Market Revenue and Forecast, by Type

11.1.2. Market Revenue and Forecast, by Service Type

11.1.3. Market Revenue and Forecast, by Deployment

11.1.4. U.S.

11.1.4.1. Market Revenue and Forecast, by Type

11.1.4.2. Market Revenue and Forecast, by Service Type

11.1.4.3. Market Revenue and Forecast, by Deployment

11.1.5. Rest of North America

11.1.5.1. Market Revenue and Forecast, by Type

11.1.5.2. Market Revenue and Forecast, by Service Type

11.1.5.3. Market Revenue and Forecast, by Deployment

11.2. Europe

11.2.1. Market Revenue and Forecast, by Type

11.2.2. Market Revenue and Forecast, by Service Type

11.2.3. Market Revenue and Forecast, by Deployment

11.2.4. UK

11.2.4.1. Market Revenue and Forecast, by Type

11.2.4.2. Market Revenue and Forecast, by Service Type

11.2.4.3. Market Revenue and Forecast, by Deployment

11.2.5. Germany

11.2.5.1. Market Revenue and Forecast, by Type

11.2.5.2. Market Revenue and Forecast, by Service Type

11.2.5.3. Market Revenue and Forecast, by Deployment

11.2.6. France

11.2.6.1. Market Revenue and Forecast, by Type

11.2.6.2. Market Revenue and Forecast, by Service Type

11.2.6.3. Market Revenue and Forecast, by Deployment

11.2.7. Rest of Europe

11.2.7.1. Market Revenue and Forecast, by Type

11.2.7.2. Market Revenue and Forecast, by Service Type

11.2.7.3. Market Revenue and Forecast, by Deployment

11.3. APAC

11.3.1. Market Revenue and Forecast, by Type

11.3.2. Market Revenue and Forecast, by Service Type

11.3.3. Market Revenue and Forecast, by Deployment

11.3.4. India

11.3.4.1. Market Revenue and Forecast, by Type

11.3.4.2. Market Revenue and Forecast, by Service Type

11.3.4.3. Market Revenue and Forecast, by Deployment

11.3.5. China

11.3.5.1. Market Revenue and Forecast, by Type

11.3.5.2. Market Revenue and Forecast, by Service Type

11.3.5.3. Market Revenue and Forecast, by Deployment

11.3.6. Japan

11.3.6.1. Market Revenue and Forecast, by Type

11.3.6.2. Market Revenue and Forecast, by Service Type

11.3.6.3. Market Revenue and Forecast, by Deployment

11.3.7. Rest of APAC

11.3.7.1. Market Revenue and Forecast, by Type

11.3.7.2. Market Revenue and Forecast, by Service Type

11.3.7.3. Market Revenue and Forecast, by Deployment

11.4. MEA

11.4.1. Market Revenue and Forecast, by Type

11.4.2. Market Revenue and Forecast, by Service Type

11.4.3. Market Revenue and Forecast, by Deployment

11.4.4. GCC

11.4.4.1. Market Revenue and Forecast, by Type

11.4.4.2. Market Revenue and Forecast, by Service Type

11.4.4.3. Market Revenue and Forecast, by Deployment

11.4.5. North Africa

11.4.5.1. Market Revenue and Forecast, by Type

11.4.5.2. Market Revenue and Forecast, by Service Type

11.4.5.3. Market Revenue and Forecast, by Deployment

11.4.6. South Africa

11.4.6.1. Market Revenue and Forecast, by Type

11.4.6.2. Market Revenue and Forecast, by Service Type

11.4.6.3. Market Revenue and Forecast, by Deployment

11.4.7. Rest of MEA

11.4.7.1. Market Revenue and Forecast, by Type

11.4.7.2. Market Revenue and Forecast, by Service Type

11.4.7.3. Market Revenue and Forecast, by Deployment

11.5. Latin America

11.5.1. Market Revenue and Forecast, by Type

11.5.2. Market Revenue and Forecast, by Service Type

11.5.3. Market Revenue and Forecast, by Deployment

11.5.4. Brazil

11.5.4.1. Market Revenue and Forecast, by Type

11.5.4.2. Market Revenue and Forecast, by Service Type

11.5.4.3. Market Revenue and Forecast, by Deployment

11.5.5. Rest of LATAM

11.5.5.1. Market Revenue and Forecast, by Type

11.5.5.2. Market Revenue and Forecast, by Service Type

11.5.5.3. Market Revenue and Forecast, by Deployment

Chapter 12. Company Profiles

12.1. Amadeus IT Group

12.1.1. Company Overview

12.1.2. Product Offerings

12.1.3. Financial Performance

12.1.4. Recent Initiatives

12.2. Google LLC

12.2.1. Company Overview

12.2.2. Product Offerings

12.2.3. Financial Performance

12.2.4. Recent Initiatives

12.3. Airbnb Inc.

12.3.1. Company Overview

12.3.2. Product Offerings

12.3.3. Financial Performance

12.3.4. Recent Initiatives

12.4. Expedia Group Inc.

12.4.1. Company Overview

12.4.2. Product Offerings

12.4.3. Financial Performance

12.4.4. Recent Initiatives

12.5. Skyscanner Ltd.

12.5.1. Company Overview

12.5.2. Product Offerings

12.5.3. Financial Performance

12.5.4. Recent Initiatives

12.6. Kayak Software Corporation

12.6.1. Company Overview

12.6.2. Product Offerings

12.6.3. Financial Performance

12.6.4. Recent Initiatives

12.7. Sabre Corporation

12.7.1. Company Overview

12.7.2. Product Offerings

12.7.3. Financial Performance

12.7.4. Recent Initiatives

12.8. Booking Holding Inc.

12.8.1. Company Overview

12.8.2. Product Offerings

12.8.3. Financial Performance

12.8.4. Recent Initiatives

Chapter 13. Research Methodology

13.1. Primary Research

13.2. Secondary Research

13.3. Assumptions

Chapter 14. Appendix

14.1. About Us

14.2. Glossary of Terms

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Frequently Asked Questions

Answer : The global generative AI in travel market size surpassed USD 1063.71 million in 2025 and it is expected to increase USD 5,788.55 million by 2035.

Answer : The global generative AI in travel market will register growth rate of 18.64% between 2026 and 2035.

Answer : The major players operating in the generative AI in travel market are Amadeus IT Group, Google LLC, Airbnb Inc., Expedia Group Inc., Skyscanner Ltd., Kayak Software Corporation, Sabre Corporation, Booking Holding Inc., and Others.

Answer : The driving factors of the generative AI in travel market are the rising emphasis on personalized solutions for travelers and cost-effective suggestions offered by generative AI platforms.

Answer : North America region will lead the global generative AI in travel market during the forecast period 2026 to 2035.

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