by The global generative AI in travel market size accounted for US$ 632.18 Mn in 2022 and is projected to reach around USD 3,581.95 Mn by 2032, growing at a 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.
Report Summary
The global generative AI in travel market report provides a Point-by-Point and In-Depth analysis of global market size, regional and country-level market size, market share, segmentation market growth, competitive landscape, sales analysis, opportunities analysis, strategic market growth analysis, the impact of domestic and global market key players, value chain optimization, trade regulations, recent developments, product launches, area marketplace expanding, and technological innovations.
The study offers a comprehensive analysis on diverse features, including production capacities, demand, product developments, revenue generation, and sales in the generative AI in travel market across the globe.
A comprehensive estimate on the generative AI in travel market has been provided through an optimistic scenario as well as a conservative scenario, taking into account the sales of generative AI in travel during the forecast period. Price point comparison by region with global average price is also considered in the study.
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Generative AI in Travel Market Report Scope
| Report Coverage | Details |
| Market Size in 2023 | USD 751.91 Million |
| Market Size by 2032 | USD 3,581.95 Million |
| Growth Rate from 2023 to 2032 | CAGR of 18.94% |
| Largest Market | North America |
| Base Year | 2022 |
| Forecast Period | 2023 To 2032 |
| Segments Covered | By Type, By Service Type, and By Deployment |
| Regions Covered | North America, Europe, Asia-Pacific, Latin America, and Middle East & Africa |
Key Highlights:
Reports Coverage: It incorporates key market sections, key makers secured, the extent of items offered in the years considered, worldwide containerized generative AI in travel market and study goals. Moreover, it contacts the division study gave in the report based on the sort of item and applications.
Market Outline: This area stresses the key investigations, market development rate, serious scene, market drivers, patterns, and issues notwithstanding the naturally visible pointers.
Market Production by Region: The report conveys information identified with import and fare, income, creation, and key players of every single local market contemplated are canvassed right now.
Also Read: Generative AI in Real Estate Market Size To Cross USD 1,047 Bn By 2032
Generative AI in Travel Market Players
The report includes the profiles of key generative AI in travel market companies along with their SWOT analysis and market strategies. In addition, the report focuses on leading industry players with information such as company profiles, components and services offered, financial information, key development in past five years.
Major companies operating in this area
- Amadeus IT Group
- Google LLC
- Airbnb Inc.
- Expedia Group Inc.
- Skyscanner Ltd.
- Kayak Software Corporation
- Sabre Corporation
- Booking Holding Inc.
Generative AI in Travel 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
Regional Segmentation
- North America (U.S., Canada, Mexico)
- Europe (Germany, France, U.K., Italy, Spain, Rest of Europe)
- Asia-Pacific (China, Japan, India, Southeast Asia and Rest of APAC)
- Latin America (Brazil and Rest of Latin America)
- Middle East and Africa (GCC, North Africa, South Africa, Rest of MEA)
Research Methodology
Secondary Research
It involves company databases such as Hoover’s: This assists us to recognize financial information, the structure of the market participants and industry’s competitive landscape.
The secondary research sources referred in the process are as follows:
- Governmental bodies, and organizations creating economic policies
- National and international social welfare institutions
- Company websites, financial reports and SEC filings, broker and investor reports
- Related patent and regulatory databases
- Statistical databases and market reports
- Corporate Presentations, news, press release, and specification sheet of Manufacturers
Primary Research
Primary research includes face-to-face interviews, online surveys, and telephonic interviews.
- Means of primary research: Email interactions, telephonic discussions and Questionnaire-based research etc.
- In order to validate our research findings and analysis, we conduct primary interviews of key industry participants. Insights from primary respondents help in validating the secondary research findings. It also develops Research Team’s expertise and market understanding.
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
Thanks for reading you can also get individual chapter-wise sections or region-wise report versions such as North America, Europe, or the Asia Pacific.
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