Global AI Flight Booking Apps Market Growth (Status and Outlook) 2025-2031

The global AI Flight Booking Apps market size is predicted to grow from US$ 1365 million in 2025 to US$ 3250 million in 2031; it is expected to grow at a CAGR of 15.6% from 2025 to 2031.

AI flight booking apps refer to mobile applications or web applications that use artificial intelligence technology to provide users with flight query, booking, payment and other services through algorithms and data analysis.

United States market for AI Flight Booking Apps is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

China market for AI Flight Booking Apps is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Europe market for AI Flight Booking Apps is estimated to increase from US$ million in 2024 to US$ million by 2031, at a CAGR of % from 2025 through 2031.

Global key AI Flight Booking Apps players cover Skyscanner, Google, Kayak, Hopper, Expedia, etc. In terms of revenue, the global two largest companies occupied for a share nearly % in 2024.

LPI (LP Information)' newest research report, the “AI Flight Booking Apps Industry Forecast” looks at past sales and reviews total world AI Flight Booking Apps sales in 2024, providing a comprehensive analysis by region and market sector of projected AI Flight Booking Apps sales for 2025 through 2031. With AI Flight Booking Apps sales broken down by region, market sector and sub-sector, this report provides a detailed analysis in US$ millions of the world AI Flight Booking Apps industry.

This Insight Report provides a comprehensive analysis of the global AI Flight Booking Apps landscape and highlights key trends related to product segmentation, company formation, revenue, and market share, latest development, and M&A activity. This report also analyses the strategies of leading global companies with a focus on AI Flight Booking Apps portfolios and capabilities, market entry strategies, market positions, and geographic footprints, to better understand these firms’ unique position in an accelerating global AI Flight Booking Apps market.

This Insight Report evaluates the key market trends, drivers, and affecting factors shaping the global outlook for AI Flight Booking Apps and breaks down the forecast by Type, by Application, geography, and market size to highlight emerging pockets of opportunity. With a transparent methodology based on hundreds of bottom-up qualitative and quantitative market inputs, this study forecast offers a highly nuanced view of the current state and future trajectory in the global AI Flight Booking Apps.

This report presents a comprehensive overview, market shares, and growth opportunities of AI Flight Booking Apps market by product type, application, key players and key regions and countries.

Segmentation by Type:
Basic Function Type
Intelligent Recommendation Type
Comprehensive Service Type
Other

Segmentation by Application:
Personal Travel
Group Travel
Business Travel

This report also splits the market by region:
Americas
United States
Canada
Mexico
Brazil
APAC
China
Japan
Korea
Southeast Asia
India
Australia
Europe
Germany
France
UK
Italy
Russia
Middle East & Africa
Egypt
South Africa
Israel
Turkey
GCC Countries

The below companies that are profiled have been selected based on inputs gathered from primary experts and analyzing the company's coverage, product portfolio, its market penetration.
Skyscanner
Google
Kayak
Hopper
Expedia
Orbitz
Priceline
Momondo
TripIt
CheapOair
Booking.com
Agoda

Please note: The report will take approximately 2 business days to prepare and deliver.


*This is a tentative TOC and the final deliverable is subject to change.*
1 Scope of the Report
2 Executive Summary
3 AI Flight Booking Apps Market Size by Player
4 AI Flight Booking Apps by Region
5 Americas
6 APAC
7 Europe
8 Middle East & Africa
9 Market Drivers, Challenges and Trends
10 Global AI Flight Booking Apps Market Forecast
11 Key Players Analysis
12 Research Findings and Conclusion

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