According to the research report, the global generative AI in travel market size is expected to touch USD 3,581.95 million by 2032, from USD 632.18 million in 2022, growing with a significant CAGR of 18.94% from 2023 to 2032.
Key Takeaways:
- North America dominated the market with the highest market share in 2022.
- Asia Pacific is expected to hold a significant market share during the anticipated period.
- By type, the air travel segment dominated the market with the largest market share in 2022. Additionally, the rail travel segment is expected to grow at a significant rate during the forecast period.
- By service type, the accommodation services segment dominated the market with the largest market share in 2022. Additionally, the transportation accommodation segment is expected to grow at a noticeable rate during the forecast period.
- By deployment, the cloud-based segment dominated the market with the highest market share in 2022. While on-premises deployment is expected to hold a lucrative market share during the predicted timeframe.
The generative AI in travel report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global generative AI in travel in conjunction with the geographical landscape of this vertical have also been included in this report.
The report offers intricate dynamics about different aspects of the global generative AI in travel market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global generative AI in travel during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).
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This study covers a detailed segmentation of the global generative AI in travel market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global generative AI in travel market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.
Key Players
- Amadeus IT Group
- Google LLC
- Airbnb Inc.
- Expedia Group Inc.
- Skyscanner Ltd.
- Kayak Software Corporation
- Sabre Corporation
- Booking Holding Inc.
Market Segmentation
By Type
- Air Travel
- Rail Travel
- Cruise Travel
By Service Type
- Accommodation Services
- Transportation Services
By Deployment
- Cloud-Based Model
- On-Premises
- Hybrid Model
By Geography
- North America
- Europe
- Asia-Pacific
- Latin America
- Middle East and Africa
Research Methodology
The research methodology adopted by analysts for compiling the global generative AI in travel report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.
During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.
For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global generative AI in travel market.
TABLE OF CONTENT
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
Chapter 6. Market Dynamics Analysis and Trends
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, 2023-2032
8.1.1 Air Travel
8.1.1.1. Market Revenue and Forecast (2020-2032)
8.1.2. Rail Travel
8.1.2.1. Market Revenue and Forecast (2020-2032)
8.1.3. Cruise Travel
8.1.3.1. Market Revenue and Forecast (2020-2032)
Chapter 9. Global Generative AI in Travel Market, By Service Type
9.1. Generative AI in Travel Market, by Service Type, 2023-2032
9.1.1. Accommodation Services
9.1.1.1. Market Revenue and Forecast (2020-2032)
9.1.2. Transportation Services
9.1.2.1. Market Revenue and Forecast (2020-2032)
Chapter 10. Global Generative AI in Travel Market, By Deployment
10.1. Generative AI in Travel Market, by Deployment, 2023-2032
10.1.1. Cloud-Based Model
10.1.1.1. Market Revenue and Forecast (2020-2032)
10.1.2. On-Premises
10.1.2.1. Market Revenue and Forecast (2020-2032)
10.1.3. Hybrid Model
10.1.3.1. Market Revenue and Forecast (2020-2032)
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 (2020-2032)
11.1.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.1.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.1.4. U.S.
11.1.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.1.4.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.1.4.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.1.5. Rest of North America
11.1.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.1.5.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.1.5.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.2. Europe
11.2.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.2.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.2.4. UK
11.2.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.4.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.2.4.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.2.5. Germany
11.2.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.5.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.2.5.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.2.6. France
11.2.6.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.6.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.2.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.2.7. Rest of Europe
11.2.7.1. Market Revenue and Forecast, by Type (2020-2032)
11.2.7.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.2.7.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.3. APAC
11.3.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.3.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.3.4. India
11.3.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.4.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.3.4.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.3.5. China
11.3.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.5.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.3.5.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.3.6. Japan
11.3.6.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.6.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.3.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.3.7. Rest of APAC
11.3.7.1. Market Revenue and Forecast, by Type (2020-2032)
11.3.7.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.3.7.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.4. MEA
11.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.4.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.4.4. GCC
11.4.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.4.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.4.4.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.4.5. North Africa
11.4.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.5.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.4.5.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.4.6. South Africa
11.4.6.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.6.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.4.6.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.4.7. Rest of MEA
11.4.7.1. Market Revenue and Forecast, by Type (2020-2032)
11.4.7.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.4.7.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.5. Latin America
11.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.5.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.5.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.5.4. Brazil
11.5.4.1. Market Revenue and Forecast, by Type (2020-2032)
11.5.4.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.5.4.3. Market Revenue and Forecast, by Deployment (2020-2032)
11.5.5. Rest of LATAM
11.5.5.1. Market Revenue and Forecast, by Type (2020-2032)
11.5.5.2. Market Revenue and Forecast, by Service Type (2020-2032)
11.5.5.3. Market Revenue and Forecast, by Deployment (2020-2032)
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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