CONSUMER PRODUCT & SERVICES
Global Online Travel Market - Industry Trends and Forecast to 2032
REPORT OVERVIEW
Global Online Travel Market, By Type (Transportation, Travel Accommodation, Vacation Packages, and Others), Platform (Mobile and Desktop), Mode of Booking (Online Travel Agencies (OTAs) and Direct Travel Suppliers), Age Group (22-31 Years, 32-43 Years, 44-56 Years, and >56 Years), Component (Solution and Services), Payment Mode (UPI, E-Wallet, Debit / Credit Card and Others (Vouchers, Discount Codes)), Traveller Type (Corporate Traveller and Individual Traveller), Region (North America, Europe, Asia-Pacific, South America, Middle East and Africa) – Industry Trends and Forecast to 2032.
Market Insights
The global online travel market size is valued to be USD xx million in 2023 and is expected to reach USD xx million by 2032, and it is expected to register a CAGR of xx% over the forecast period 2024-2032.
Online travel services refer to the digital platforms and services that facilitate the booking and management of travel-related activities and accommodations over the internet. This includes a wide range of services aimed at travelers, such as booking flights, hotels, rental cars, vacation packages, tours, activities, and travel insurance.
The respective global report analyses market trends, consumer behaviour and industry dynamics to guide towards entry into new markets with ease. Also, it assists in tailoring market specific and related products and services to meet the needs, preferences, and expectations of target audience by delving into their psychology. The report also specializes with comprehensive and extensive competitive analysis which offers useful insights into competitor strengths, weaknesses, opportunities, and threats. The respective report offers exclusive insights into the potential impact of disruptive developments and technologies that are expected to completely transform corporate operations. The context includes tailor-made research solutions to create a stronger footprint in their particular industries thereby offering dedicated customized solutions according to the client needs which helps in addressing unique business challenges with more simplified and efficient decision-making solutions.
Market Dynamics
DRIVERS
- Mobile booking growth
- Rise of experience-based travel
RESTRAINTS
- Consumer trust and safety concerns
- Competitive pressures
OPPORTUNITIES
- Digital nomadism and remote work
- Destination marketing and experience promotion
CHALLENGES
- Security and privacy concerns
- Geopolitical and economic uncertainty
SEGMENTATION
- Type
- Transportation
- Travel Accommodation
- Vacation Packages
- Others
- Platform
- Mobile
- Desktop
- Mode of Booking
- Online Travel Agencies (OTAs)
- Direct Travel Suppliers
- Age Group
- 22-31 Years
- 32-43 Years
- 44-56 Years
- >56 Years
- Component
- Solution
- Flight Booking System
- Hotel Booking System
- Bus and Cab Booking System
- Package Booking System
- Services
- Customer Support Service
- Advertising Center
- Payment Mode
- UPI
- E-Wallet
- Debit / Credit Card
- Others (Vouchers, Discount Codes)
- Traveller Type
- Corporate Traveller
- Individual Traveller
The respective global report is completely customizable specific to regions (North America, Europe, Asia-Pacific, South America, Middle East and Africa), countries, and segments as per the client requirements.
REGIONAL SEGMENTATION
- North America
- U.S.
- Canada
- Mexico
- Rest of North America
- Europe
- Germany
- U.K.
- France
- Italy
- Spain
- Russia
- The Netherlands
- Belgium
- Turkey
- Rest of Europe
- Asia-Pacific
- China
- India
- Japan
- South Korea
- Singapore
- Malaysia
- Australia
- Thailand
- Philippines
- Rest of Asia-Pacific
- South America
- Brazil
- Argentina
- Chile
- Colombia
- Rest of South America
- Middle East and Africa
- Kingdom of Saudi Arabia
- South Africa
- U.A.E.
- Egypt
- Rest of Middle East and Africa
KEY MARKET PLAYERS
- Airbnb Inc.
- Expedia Group
- Trip.com Group Ltd
- Makemytrip
- Tripadvisor
- Trivago
- Booking Holding
- Amadius
- Webjet
- Edreams Odigeo
Table OF CONTENTS
- SECTION 1 - INTRODUCTION
- 1.1 Taxonomy
- 1.2 Market Overview
- 1.3 Currency and Limitations
- 1.3.1 Currency
- 1.3.2 Limitations
- 1.4 Key Competitors
- SECTION 2 - RESEARCH METHODOLOGY
- 2.1 Research Approach
- 2.2 Data Collection and Validation
- 2.2.1 Secondary Research
- 2.2.2 Primary Research
- 2.3 Market Assessment
- 2.3.1 Market Size Estimation
- 2.3.2 Bottom-up Approach
- 2.3.3 Top-down Approach
- 2.3.4 Growth Forecast
- 2.4 Market Study Assumptions
- 2.5 Data Sources
- SECTION 3 - EXECUTIVE SUMMARY
- 3.1 Global Online Travel Market, by Type
- 3.2 Global Online Travel Market, by Platform
- 3.3 Global Online Travel Market, by Mode of Booking
- 3.4 Global Online Travel Market, by Age Group
- 3.5 Global Online Travel Market, by Component
- 3.6 Global Online Travel Market, by Payment Mode
- 3.7 Global Online Travel Market, by Traveller Type
- 3.8 Global Online Travel Market, by Geography
- 3.9 Market Position Grid
- SECTION 4 - PREMIUM INSIGHTS
- 4.1 Regulatory Framework
- 4.1.1 Standards
- 4.1.2 Regulatory Landscape
- 4.2 Value Chain Analysis
- 4.3 Supply Chain Analysis
- 4.4 COVID-19 Impact
- 4.5 Russia-Ukraine War Impact
- 4.6 PORTER's Five Force Analysis
- 4.7 PESTLE Analysis
- 4.8 SWOT Analysis
- 4.9 Go to Market Strategy
- 4.10 Opportunity Orbit
- 4.11 Multivariate Modelling
- 4.12 Pricing Analysis
- SECTION 5 - MARKET DYNAMICS
- 5.1 Trends
- 5.1.1 Sustainable travel
- 5.1.2 Flexible booking policies
- 5.1.3 Trend 3
- 5.2 Drivers
- 5.2.1 Mobile booking growth
- 5.2.2 Rise of experience-based travel
- 5.2.3 Driver 3
- 5.2.4 Driver 4
- 5.3 Restraints
- 5.3.1 Consumer trust and safety concerns
- 5.3.2 Competitive pressures
- 5.3.3 Restraint 3
- 5.4 Opportunities
- 5.4.1 Digital nomadism and remote work
- 5.4.2 Destination marketing and experience promotion
- 5.4.3 Opportunity 3
- 5.4.4 Opportunity 4
- 5.5 Challenges
- 5.5.1 Security and privacy concerns
- 5.5.2 Geopolitical and economic uncertainty
- 5.5.3 Challenge 3
- SECTION 6 - GLOBAL ONLINE TRAVEL MARKET, BY TYPE
- 6.1 Type Summary
- 6.2 Market Attractive Index
- 6.3 Global Online Travel Market, by Type (2019-2032)
- SECTION 7 - GLOBAL ONLINE TRAVEL MARKET, BY PLATFORM
- 7.1 Platform Summary
- 7.2 Market Attractive Index
- 7.3 Global Online Travel Market, by Platform (2019-2032)
- SECTION 8 - GLOBAL ONLINE TRAVEL MARKET, BY MODE OF BOOKING
- 8.1 Mode of Booking Summary
- 8.2 Market Attractive Index
- 8.3 Global Online Travel Market, by Mode of Booking (2019-2032)
- SECTION 9 - GLOBAL ONLINE TRAVEL MARKET, BY AGE GROUP
- 9.1 Age Group Summary
- 9.2 Market Attractive Index
- 9.3 Global Online Travel Market, by Age Group (2019-2032)
- SECTION 10 - GLOBAL ONLINE TRAVEL MARKET, BY COMPONENT
- 10.1 Component Summary
- 10.2 Market Attractive Index
- 10.3 Global Online Travel Market, by Component (2019-2032)
- SECTION 11 - GLOBAL ONLINE TRAVEL MARKET, BY PAYMENT MODE
- 11.1 Payment Mode Summary
- 11.2 Market Attractive Index
- 11.3 Global Online Travel Market, by Payment Mode (2019-2032)
- SECTION 12 - GLOBAL ONLINE TRAVEL MARKET, BY TRAVELLER TYPE
- 12.1 Traveller Type Summary
- 12.2 Market Attractive Index
- 12.3 Global Online Travel Market, by Traveller Type (2019-2032)
- SECTION 13 - GLOBAL ONLINE TRAVEL MARKET, BY GEOGRAPHY
- 13.1 Regional Summary
- 13.2 Market Attractive Index
- 13.3 Global Online Travel Market, by Geography (2019-2032)
- SECTION 14 - NORTH AMERICA ONLINE TRAVEL MARKET
- 14.1 North America Summary
- 14.2 Market Attractive Index
- 14.3 North America Online Travel Market, by Type (2019-2032)
- 14.4 North America Online Travel Market, by Platform (2019-2032)
- 14.5 North America Online Travel Market, by Mode of Booking (2019-2032)
- 14.6 North America Online Travel Market, by Age Group (2019-2032)
- 14.7 North America Online Travel Market, by Component (2019-2032)
- 14.8 North America Online Travel Market, by Payment Mode (2019-2032)
- 14.9 North America Online Travel Market, by Traveller Type (2019-2032)
- 14.10 North America Online Travel Market, by Country (2019-2032)
- 14.10.1 U.S.
- 14.10.2 Canada
- 14.10.3 Mexico
- 14.10.4 Rest of North America
- SECTION 15 - EUROPE ONLINE TRAVEL MARKET
- 15.1 Europe Summary
- 15.2 Market Attractive Index
- 15.3 Europe Online Travel Market, by Type (2019-2032)
- 15.4 Europe Online Travel Market, by Platform (2019-2032)
- 15.5 Europe Online Travel Market, by Mode of Booking (2019-2032)
- 15.6 Europe Online Travel Market, by Age Group (2019-2032)
- 15.7 Europe Online Travel Market, by Component (2019-2032)
- 15.8 Europe Online Travel Market, by Payment Mode (2019-2032)
- 15.9 Europe Online Travel Market, by Traveller Type (2019-2032)
- 15.10 Europe Online Travel Market, by Country (2019-2032)
- 15.10.1 Germany
- 15.10.2 U.K.
- 15.10.3 France
- 15.10.4 Italy
- 15.10.5 Spain
- 15.10.6 Russia
- 15.10.7 The Netherlands
- 15.10.8 Belgium
- 15.10.9 Turkey
- 15.10.10 Rest of Europe
- SECTION 16 - ASIA-PACIFIC ONLINE TRAVEL MARKET
- 16.1 Asia-Pacific Summary
- 16.2 Market Attractive Index
- 16.3 Asia-Pacific Online Travel Market, by Type (2019-2032)
- 16.4 Asia-Pacific Online Travel Market, by Platform (2019-2032)
- 16.5 Asia-Pacific Online Travel Market, by Mode of Booking (2019-2032)
- 16.6 Asia-Pacific Online Travel Market, by Age Group (2019-2032)
- 16.7 Asia-Pacific Online Travel Market, by Component (2019-2032)
- 16.8 Asia-Pacific Online Travel Market, by Payment Mode (2019-2032)
- 16.9 Asia-Pacific Online Travel Market, by Traveller Type (2019-2032)
- 16.10 Asia-Pacific Online Travel Market, by Country (2019-2032)
- 16.10.1 China
- 16.10.2 India
- 16.10.3 Japan
- 16.10.4 South Korea
- 16.10.5 Singapore
- 16.10.6 Malaysia
- 16.10.7 Australia
- 16.10.8 Thailand
- 16.10.9 Philippines
- 16.10.10 Rest of Asia-Pacific
- SECTION 17 - SOUTH AMERICA ONLINE TRAVEL MARKET
- 17.1 South America Summary
- 17.2 Market Attractive Index
- 17.3 South America Online Travel Market, by Type (2019-2032)
- 17.4 South America Online Travel Market, by Platform (2019-2032)
- 17.5 South America Online Travel Market, by Mode of Booking (2019-2032)
- 17.6 South America Online Travel Market, by Age Group (2019-2032)
- 17.7 South America Online Travel Market, by Component (2019-2032)
- 17.8 South America Online Travel Market, by Payment Mode (2019-2032)
- 17.9 South America Online Travel Market, by Traveller Type (2019-2032)
- 17.10 South America Online Travel Market, by Country (2019-2032)
- 17.10.1 Brazil
- 17.10.2 Argentina
- 17.10.3 Chile
- 17.10.4 Colombia
- 17.10.5 Rest of South America
- SECTION 18 - MIDDLE EAST AND AFRICA ONLINE TRAVEL MARKET
- 18.1 Middle East and Africa Summary
- 18.2 Market Attractive Index
- 18.3 Middle East and Africa Online Travel Market, by Type (2019-2032)
- 18.4 Middle East and Africa Online Travel Market, by Platform (2019-2032)
- 18.5 Middle East and Africa Online Travel Market, by Mode of Booking (2019-2032)
- 18.6 Middle East and Africa Online Travel Market, by Age Group (2019-2032)
- 18.7 Middle East and Africa Online Travel Market, by Component (2019-2032)
- 18.8 Middle East and Africa Online Travel Market, by Payment Mode (2019-2032)
- 18.9 Middle East and Africa Online Travel Market, by Traveller Type (2019-2032)
- 18.10 Middle East and Africa Online Travel Market, by Country (2019-2032)
- 18.10.1 Kingdom of Saudi Arabia
- 18.10.2 South Africa
- 18.10.3 U.A.E.
- 18.10.4 Egypt
- 18.10.5 Rest of Middle East and Africa
- SECTION 19 - COMPANY SHARE ANALYSIS
- 19.1 Global Online Travel Market, Company Share Analysis
- 19.2 North America Online Travel Market, Company Share Analysis
- 19.3 Europe Online Travel Market, Company Share Analysis
- 19.4 Asia-Pacific Online Travel Market, Company Share Analysis
- SECTION 20 - COMPANY PROFILES
- 20.1 Airbnb Inc.
- 20.1.1 Company Snapshot
- 20.1.2 Financial Overview
- 20.1.3 Product Portfolio
- 20.1.4 Recent Developments
- 20.2 Expedia Group
- 20.2.1 Company Snapshot
- 20.2.2 Financial Overview
- 20.2.3 Product Portfolio
- 20.2.4 Recent Developments
- 20.3 Trip.com Group Ltd
- 20.3.1 Company Snapshot
- 20.3.2 Financial Overview
- 20.3.3 Product Portfolio
- 20.3.4 Recent Developments
- 20.4 Makemytrip
- 20.4.1 Company Snapshot
- 20.4.2 Financial Overview
- 20.4.3 Product Portfolio
- 20.4.4 Recent Developments
- 20.5 Tripadvisor
- 20.5.1 Company Snapshot
- 20.5.2 Financial Overview
- 20.5.3 Product Portfolio
- 20.5.4 Recent Developments
- 20.6 Trivago
- 20.6.1 Company Snapshot
- 20.6.2 Financial Overview
- 20.6.3 Product Portfolio
- 20.6.4 Recent Developments
- 20.7 Booking Holding
- 20.7.1 Company Snapshot
- 20.7.2 Financial Overview
- 20.7.3 Product Portfolio
- 20.7.4 Recent Developments
- 20.8 Amadius
- 20.8.1 Company Snapshot
- 20.8.2 Financial Overview
- 20.8.3 Product Portfolio
- 20.8.4 Recent Developments
- 20.9 Webjet
- 20.9.1 Company Snapshot
- 20.9.2 Financial Overview
- 20.9.3 Product Portfolio
- 20.9.4 Recent Developments
- 20.10 Edreams Odigeo
- 20.10.1 Company Snapshot
- 20.10.2 Financial Overview
- 20.10.3 Product Portfolio
- 20.10.4 Recent Developments
- SECTION 21 - RELATED REPORTS
- SECTION 22 - DISCLAIMER
RESEARCH METHODOLOGY
The research methodology employed in Uniprism Market Research involves four basic steps namely research and data collection, data pre-processing, modeling and forecasting, quality assurance and output.
RESEARCH AND DATA COLLECTION
A tripod model research technique is followed for research and data collection in which various approaches such as primary research, secondary research, and product mapping are considered.
Primary research basically involves the process of conducting personalized interviews with market related professionals of major market players, investors, distributors, vendors and many more.
The secondary research include data published by government, annual reports, press releases, investor presentations of companies, white papers, certified publications, annual manufacturing limit of the respective industries related to the market, production consumption analysis of certain products respective to the market and many more.
Below mention are few of the sources which we have considered while estimating the market size:
For instance,
- Research articles published on Technium
- Science and MDPI
- Research publications by government approved associations and societies
Product mapping means the process of mapping the list of products that a key player contributes to the market as well as estimating the revenue of those products in order to define the Global Company share analysis of the respective Global Company in global, regional, and country level markets.
DATA PRE-PROCESSING
The term "data pre-processing" refers to the collection of procedures and methods used to clean, modify, and make ready for analysis the raw data gathered during research and data collection. The completion of this phase is necessary to guarantee that the data are reliable, consistent, and appropriate for statistical analysis and other data-driven tasks. The data pre-processing ensures that the information gathered from research and data collection is comparable and expressed in standard units, by the integration of missing data pointers and algorithmic approaches.
MODELING AND FORECASTING
The process of developing mathematical, statistical, or computational representations of real-world occurrences or relationships is known as modelling. These models are intended to replicate and explain market interactions, interdependence, and dynamics. These models are used by Uniprism Market Research to acquire a better knowledge of numerous market characteristics such as customer preferences, pricing elasticity, competition dynamics, and more. Depending on the individual study aims, many types of models are utilized, such as regression models, econometric models, decision tree models, and machine learning models.
Forecasting is the process of predicting future market conditions, trends, and occurrences using past data and models. Forecasting is used by Uniprism Market Research to estimate future sales, demand for products or services, market growth, and other important performance metrics. Forecasting accurately can assist organizations in making educated decisions about resource allocation, pricing, inventory management, and marketing tactics.
We create standardized bottom-up or top-down models that scale by leveraging data science and machine learning technology. All our market models consider the unique market characteristics of each country. Forecasting is based on major market indicators and a combination of traditional methodologies, such as exponential smoothing, time series analysis, regression analysis, and more modern techniques such as machine learning algorithms are all forecasting methodologies. The method chosen is determined on the nature of the data and the specific forecasting aims.
QUALITY ASSURANCE AND OUTPUT
Quality assurance and output involves the process of validation, adjustments, further publications of key market indicators. Extensive plausibility and consistency tests are performed on derived time series to ensure the high degree of quality of our market analysis. This quality assurance procedure also includes rigorous inspection, validation, and editing by an experienced management team to assure the dependability of the published data.