Travel Metasearch Engine Market
The Travel Metasearch Engine Market revolves around online platforms that aggregate and compare travel-related information from various sources, allowing users to search for flights, hotels, car rentals, and vacation packages. Unlike online travel agencies (OTAs) that handle bookings directly, metasearch engines redirect users to supplier websites or OTAs to complete bookings. Popular examples of travel metasearch engines include Google Flights, Kayak, Skyscanner, and Trivago.
A travel metasearch engine is a type of online search platform that aggregates and compares travel-related information from multiple sources. These engines pull data from airlines, hotels, online travel agencies (OTAs), and other travel service providers, allowing users to compare prices, availability, and options in one place. However, unlike OTAs, metasearch engines do not handle bookings directly but redirect users to the relevant site to complete their transactions.
The global Travel Metasearch Engine market was valued at around $6.2 billion in 2022. It is projected to grow significantly, with an estimated value of approximately $13.5 billion by 2030, reflecting a compound annual growth rate (CAGR) of about 9.7% during this period.
| Report Attributes | Details |
| Study Period | 2023 to 2033 |
| Base Year | 2023 |
| FORECAST PERIOD | 2024-2030 |
| HISTORICAL PERIOD | 2020-2023 |
| UNIT | Value (USD Billion) |
| KEY COMPANIES PROFILED | Kayak Skyscanner Google Flights Momondo Trivago Hipmunk TravelSupermarket TripAdvisor Cheapflights Wego HotelsCombined Priceline Expedia Orbitz Travelocity FareCompare Jetcost Liligo Qunar Vayama |
| SEGMENTS COVERED | By Type, By Application, and By Geography |
| CUSTOMIZATION SCOPE | Free report customization (equivalent to up to 4 analyst’s working days) with purchase. Addition or alteration to country, regional & segment scope. |
Key Features:
Comparison of Prices: Travel metasearch engines allow users to compare flight, hotel, and car rental prices across multiple travel platforms at once, making it easier to find the best deal.
Transparency and Aggregation: They aggregate results from a range of suppliers, providing a comprehensive overview of travel options, which helps users make informed decisions.
Redirection to Partner Sites: When users find the ideal option, they are redirected to the supplier’s website (e.g., an airline, OTA, or hotel website) to finalize their bookings.
Popular Examples:
Google Flights: Allows for comparison of airfares across many airlines and travel agencies.
Skyscanner: Specializes in searching for flights, hotels, and car rentals.
Kayak: A well-known metasearch engine offering a variety of travel services including flights, hotels, and car rentals.
Trivago: Primarily focuses on comparing hotel prices and availability.
The appeal of travel metasearch engines lies in their ability to simplify the often complex task of planning travel by consolidating information into a single search platform. This enables users to save time and money when booking their trips.
Key Market Drivers
Rising Internet Penetration and Smartphone Usage: The increased use of smartphones and internet connectivity globally enables travelers to quickly search and compare travel options, fueling demand for metasearch engines.
Consumer Preference for Price Comparison: Users appreciate the ability to compare prices across multiple sites for the best deals, which metasearch engines offer by aggregating data from numerous travel providers.
Growth in Online Travel Market: The expansion of the online travel market, particularly post-pandemic, has created a surge in demand for digital solutions like metasearch engines, which provide convenience and comprehensive options.
Partnerships with Airlines, Hotels, and OTAs: To offer users a wide range of options, metasearch engines often form partnerships with airlines, hotel chains, and OTAs, enhancing the depth and breadth of their databases.
Market Segmentation
The Travel Metasearch Engine Market can be segmented by platform type, service type, device type, and region:
By Platform Type: Mobile applications and websites. Mobile applications are particularly popular due to on-the-go accessibility.
By Service Type: Flights, hotels, car rentals, and vacation packages. Flights and hotels represent the largest segments, as these are the most commonly searched services.
By Device Type: Smartphones, tablets, and desktops. Smartphones dominate due to their accessibility and the rise of mobile-first travel behavior.
By Region: North America, Europe, Asia-Pacific, and Latin America. Asia-Pacific is the fastest-growing region due to increasing digital adoption and travel demand.
Challenges
Dependency on Ad Revenue and Affiliate Commissions: Travel metasearch engines primarily rely on ad revenue and affiliate commissions, making them vulnerable to fluctuations in advertiser spending and travel trends.
Intense Competition: Major players like Google and TripAdvisor dominate the market, posing a challenge for smaller platforms.
User Privacy Concerns: Increasing emphasis on data privacy and regulations like the GDPR in Europe can pose operational challenges for metasearch engines in terms of data handling and compliance.
Market Trends
Integration of Artificial Intelligence (AI) and Machine Learning: AI and machine learning help metasearch engines offer personalized search results and pricing, improving user experience.
Increased Focus on Voice Search Optimization: As more users rely on voice-activated assistants for travel planning, metasearch engines are optimizing for voice search to cater to this trend.
Expansion into Non-traditional Travel Services: Some metasearch engines are expanding into activities, local experiences, and dining reservations, adding value and attracting more users.
Key Players
Leading players in the travel metasearch engine market include:
Google Flights: Offers a powerful search engine with flight comparisons, trends, and price predictions.
Skyscanner: Known for flight comparisons, Skyscanner has also expanded into hotel and car rental services.
Kayak: A popular platform for flights, hotels, and car rentals with a robust mobile app.
Trivago: Focused primarily on hotel comparisons, with a strong presence in Europe.
TripAdvisor: Although primarily a review platform, TripAdvisor has expanded its metasearch offerings for hotels and activities.
Future Outlook
The Travel Metasearch Engine Market is expected to continue growing as digital travel planning becomes more popular and consumer preference for transparency and convenience persists. Additionally, technological advancements in AI and machine learning will allow for more personalized search results, enhancing user experience and engagement. The market is projected to grow at a significant compound annual growth rate (CAGR) over the next few years, particularly in emerging markets where digital adoption is on the rise.
Travel Metasearch Engine Market Segments
By Type
Flight Metasearch
Hotel Metasearch
Car Rental Metasearch
Vacation Rental Metasearch
Others
By Platform
Mobile
Desktop
By End-User
Individual
Corporate
Travel Metasearch Engine Market Players
Kayak
Skyscanner
Google Flights
Momondo
Trivago
Hipmunk
TravelSupermarket
TripAdvisor
Cheapflights
Wego
HotelsCombined
Priceline
Expedia
Orbitz
Travelocity
FareCompare
Jetcost
Liligo
Qunar
Vayama
Table Of Content
Chapter 1 Executive Summary
Chapter 2 Assumptions and Acronyms Used
Chapter 3 Research Methodology
Chapter 4 Travel Metasearch Engine Market Overview
4.1 Introduction
4.1.1 Market Taxonomy
4.1.2 Market Definition
4.1.3 Macro-Economic Factors Impacting the Market Growth
4.2 Travel Metasearch Engine Market Dynamics
4.2.1 Market Drivers
4.2.2 Market Restraints
4.2.3 Market Opportunity
4.3 Travel Metasearch Engine Market - Supply Chain Analysis
4.3.1 List of Key Suppliers
4.3.2 List of Key Distributors
4.3.3 List of Key Consumers
4.4 Key Forces Shaping the Travel Metasearch Engine Market
4.4.1 Bargaining Power of Suppliers
4.4.2 Bargaining Power of Buyers
4.4.3 Threat of Substitution
4.4.4 Threat of New Entrants
4.4.5 Competitive Rivalry
4.5 Global Travel Metasearch Engine Market Size & Forecast, 2023-2032
4.5.1 Travel Metasearch Engine Market Size and Y-o-Y Growth
4.5.2 Travel Metasearch Engine Market Absolute $ Opportunity
Chapter 5 Global Travel Metasearch Engine Market Analysis and Forecast By Type
5.1 Introduction
5.1.1 Key Market Trends & Growth Opportunities By Type
5.1.2 Basis Point Share (BPS) Analysis By Type
5.1.3 Absolute $ Opportunity Assessment By Type
5.2 Travel Metasearch Engine Market Size Forecast By Type
5.2.1 Flight Metasearch
5.2.2 Hotel Metasearch
5.2.3 Car Rental Metasearch
5.2.4 Vacation Rental Metasearch
5.2.5 Others
5.3 Market Attractiveness Analysis By Type
Chapter 6 Global Travel Metasearch Engine Market Analysis and Forecast By Platform
6.1 Introduction
6.1.1 Key Market Trends & Growth Opportunities By Platform
6.1.2 Basis Point Share (BPS) Analysis By Platform
6.1.3 Absolute $ Opportunity Assessment By Platform
6.2 Travel Metasearch Engine Market Size Forecast By Platform
6.2.1 Mobile
6.2.2 Desktop
6.3 Market Attractiveness Analysis By Platform
Chapter 7 Global Travel Metasearch Engine Market Analysis and Forecast By End-User
7.1 Introduction
7.1.1 Key Market Trends & Growth Opportunities By End-User
7.1.2 Basis Point Share (BPS) Analysis By End-User
7.1.3 Absolute $ Opportunity Assessment By End-User
7.2 Travel Metasearch Engine Market Size Forecast By End-User
7.2.1 Individual
7.2.2 Corporate
7.3 Market Attractiveness Analysis By End-User
Chapter 8 Global Travel Metasearch Engine Market Analysis and Forecast by Region
8.1 Introduction
8.1.1 Key Market Trends & Growth Opportunities By Region
8.1.2 Basis Point Share (BPS) Analysis By Region
8.1.3 Absolute $ Opportunity Assessment By Region
8.2 Travel Metasearch Engine Market Size Forecast By Region
8.2.1 North America
8.2.2 Europe
8.2.3 Asia Pacific
8.2.4 Latin America
8.2.5 Middle East & Africa (MEA)
8.3 Market Attractiveness Analysis By Region
Chapter 9 Coronavirus Disease (COVID-19) Impact
9.1 Introduction
9.2 Current & Future Impact Analysis
9.3 Economic Impact Analysis
9.4 Government Policies
9.5 Investment Scenario
Chapter 10 North America Travel Metasearch Engine Analysis and Forecast
10.1 Introduction
10.2 North America Travel Metasearch Engine Market Size Forecast by Country
10.2.1 U.S.
10.2.2 Canada
10.3 Basis Point Share (BPS) Analysis by Country
10.4 Absolute $ Opportunity Assessment by Country
10.5 Market Attractiveness Analysis by Country
10.6 North America Travel Metasearch Engine Market Size Forecast By Type
10.6.1 Flight Metasearch
10.6.2 Hotel Metasearch
10.6.3 Car Rental Metasearch
10.6.4 Vacation Rental Metasearch
10.6.5 Others
10.7 Basis Point Share (BPS) Analysis By Type
10.8 Absolute $ Opportunity Assessment By Type
10.9 Market Attractiveness Analysis By Type
10.10 North America Travel Metasearch Engine Market Size Forecast By Platform
10.10.1 Mobile
10.10.2 Desktop
10.11 Basis Point Share (BPS) Analysis By Platform
10.12 Absolute $ Opportunity Assessment By Platform
10.13 Market Attractiveness Analysis By Platform
10.14 North America Travel Metasearch Engine Market Size Forecast By End-User
10.14.1 Individual
10.14.2 Corporate
10.15 Basis Point Share (BPS) Analysis By End-User
10.16 Absolute $ Opportunity Assessment By End-User
10.17 Market Attractiveness Analysis By End-User
Chapter 11 Europe Travel Metasearch Engine Analysis and Forecast
11.1 Introduction
11.2 Europe Travel Metasearch Engine Market Size Forecast by Country
11.2.1 Germany
11.2.2 France
11.2.3 Italy
11.2.4 U.K.
11.2.5 Spain
11.2.6 Russia
11.2.7 Rest of Europe
11.3 Basis Point Share (BPS) Analysis by Country
11.4 Absolute $ Opportunity Assessment by Country
11.5 Market Attractiveness Analysis by Country
11.6 Europe Travel Metasearch Engine Market Size Forecast By Type
11.6.1 Flight Metasearch
11.6.2 Hotel Metasearch
11.6.3 Car Rental Metasearch
11.6.4 Vacation Rental Metasearch
11.6.5 Others
11.7 Basis Point Share (BPS) Analysis By Type
11.8 Absolute $ Opportunity Assessment By Type
11.9 Market Attractiveness Analysis By Type
11.10 Europe Travel Metasearch Engine Market Size Forecast By Platform
11.10.1 Mobile
11.10.2 Desktop
11.11 Basis Point Share (BPS) Analysis By Platform
11.12 Absolute $ Opportunity Assessment By Platform
11.13 Market Attractiveness Analysis By Platform
11.14 Europe Travel Metasearch Engine Market Size Forecast By End-User
11.14.1 Individual
11.14.2 Corporate
11.15 Basis Point Share (BPS) Analysis By End-User
11.16 Absolute $ Opportunity Assessment By End-User
11.17 Market Attractiveness Analysis By End-User
Chapter 12 Asia Pacific Travel Metasearch Engine Analysis and Forecast
12.1 Introduction
12.2 Asia Pacific Travel Metasearch Engine Market Size Forecast by Country
12.2.1 China
12.2.2 Japan
12.2.3 South Korea
12.2.4 India
12.2.5 Australia
12.2.6 South East Asia (SEA)
12.2.7 Rest of Asia Pacific (APAC)
12.3 Basis Point Share (BPS) Analysis by Country
12.4 Absolute $ Opportunity Assessment by Country
12.5 Market Attractiveness Analysis by Country
12.6 Asia Pacific Travel Metasearch Engine Market Size Forecast By Type
12.6.1 Flight Metasearch
12.6.2 Hotel Metasearch
12.6.3 Car Rental Metasearch
12.6.4 Vacation Rental Metasearch
12.6.5 Others
12.7 Basis Point Share (BPS) Analysis By Type
12.8 Absolute $ Opportunity Assessment By Type
12.9 Market Attractiveness Analysis By Type
12.10 Asia Pacific Travel Metasearch Engine Market Size Forecast By Platform
12.10.1 Mobile
12.10.2 Desktop
12.11 Basis Point Share (BPS) Analysis By Platform
12.12 Absolute $ Opportunity Assessment By Platform
12.13 Market Attractiveness Analysis By Platform
12.14 Asia Pacific Travel Metasearch Engine Market Size Forecast By End-User
12.14.1 Individual
12.14.2 Corporate
12.15 Basis Point Share (BPS) Analysis By End-User
12.16 Absolute $ Opportunity Assessment By End-User
12.17 Market Attractiveness Analysis By End-User
Chapter 13 Latin America Travel Metasearch Engine Analysis and Forecast
13.1 Introduction
13.2 Latin America Travel Metasearch Engine Market Size Forecast by Country
13.2.1 Brazil
13.2.2 Mexico
13.2.3 Rest of Latin America (LATAM)
13.3 Basis Point Share (BPS) Analysis by Country
13.4 Absolute $ Opportunity Assessment by Country
13.5 Market Attractiveness Analysis by Country
13.6 Latin America Travel Metasearch Engine Market Size Forecast By Type
13.6.1 Flight Metasearch
13.6.2 Hotel Metasearch
13.6.3 Car Rental Metasearch
13.6.4 Vacation Rental Metasearch
13.6.5 Others
13.7 Basis Point Share (BPS) Analysis By Type
13.8 Absolute $ Opportunity Assessment By Type
13.9 Market Attractiveness Analysis By Type
13.10 Latin America Travel Metasearch Engine Market Size Forecast By Platform
13.10.1 Mobile
13.10.2 Desktop
13.11 Basis Point Share (BPS) Analysis By Platform
13.12 Absolute $ Opportunity Assessment By Platform
13.13 Market Attractiveness Analysis By Platform
13.14 Latin America Travel Metasearch Engine Market Size Forecast By End-User
13.14.1 Individual
13.14.2 Corporate
13.15 Basis Point Share (BPS) Analysis By End-User
13.16 Absolute $ Opportunity Assessment By End-User
13.17 Market Attractiveness Analysis By End-User
Chapter 14 Middle East & Africa (MEA) Travel Metasearch Engine Analysis and Forecast
14.1 Introduction
14.2 Middle East & Africa (MEA) Travel Metasearch Engine Market Size Forecast by Country
14.2.1 Saudi Arabia
14.2.2 South Africa
14.2.3 UAE
14.2.4 Rest of Middle East & Africa (MEA)
14.3 Basis Point Share (BPS) Analysis by Country
14.4 Absolute $ Opportunity Assessment by Country
14.5 Market Attractiveness Analysis by Country
14.6 Middle East & Africa (MEA) Travel Metasearch Engine Market Size Forecast By Type
14.6.1 Flight Metasearch
14.6.2 Hotel Metasearch
14.6.3 Car Rental Metasearch
14.6.4 Vacation Rental Metasearch
14.6.5 Others
14.7 Basis Point Share (BPS) Analysis By Type
14.8 Absolute $ Opportunity Assessment By Type
14.9 Market Attractiveness Analysis By Type
14.10 Middle East & Africa (MEA) Travel Metasearch Engine Market Size Forecast By Platform
14.10.1 Mobile
14.10.2 Desktop
14.11 Basis Point Share (BPS) Analysis By Platform
14.12 Absolute $ Opportunity Assessment By Platform
14.13 Market Attractiveness Analysis By Platform
14.14 Middle East & Africa (MEA) Travel Metasearch Engine Market Size Forecast By End-User
14.14.1 Individual
14.14.2 Corporate
14.15 Basis Point Share (BPS) Analysis By End-User
14.16 Absolute $ Opportunity Assessment By End-User
14.17 Market Attractiveness Analysis By End-User
Chapter 15 Competition Landscape
15.1 Travel Metasearch Engine Market: Competitive Dashboard
15.2 Global Travel Metasearch Engine Market: Market Share Analysis, 2023
15.3 Company Profiles (Details – Overview, Financials, Developments, Strategy)
15.3.1 Kayak
Skyscanner
Google Flights
Momondo
Trivago
Hipmunk
TravelSupermarket
TripAdvisor
Cheapflights
Wego
HotelsCombined
Priceline
Expedia
Orbitz
Travelocity
FareCompare
Jetcost
Liligo
Qunar
Vayama
Travel Metasearch Engine Market Segments
By Type
Flight Metasearch
Hotel Metasearch
Car Rental Metasearch
Vacation Rental Metasearch
Others
By Platform
Mobile
Desktop
By End-User
Individual
Corporate
Travel Metasearch Engine Market Players
Kayak
Skyscanner
Google Flights
Momondo
Trivago
Hipmunk
TravelSupermarket
TripAdvisor
Cheapflights
Wego
HotelsCombined
Priceline
Expedia
Orbitz
Travelocity
FareCompare
Jetcost
Liligo
Qunar
Vayama
