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Global Online Travel Market to reach USD 1408.21 billion by the end of 2030.

Global Online Travel Market Size Study & Forecast, by Service types (Transportation, Travel Accommodation, Vacation Packages), by Platforms (Mobile, Desktop), by Mode of Booking (Online Travel Agencies (OTAs), Direct Travel Suppliers), by Age Group (22-31 Years, 32-43 Years, 44-56 Years, >56 Years) and Regional Analysis, 2023-2030

Product Code: OIRTT-65215184
Publish Date: 5-12-2023
Page: 200

Global Online Travel Market is valued at approximately USD 466.80 billion in 2022 and is anticipated to grow with a healthy growth rate of more than 14.8% over the forecast period 2023-2030. Online travel refers to the process of planning, booking, and managing travel arrangements through online platforms and websites. It involves using digital technologies and internet-based services to research and book flights, accommodations, rental cars, vacation packages, and other travel-related services. Online travel platforms allows travelers with convenient access to a range of travel options, prices, and information, allowing them to compare and choose the best options that suit their preferences and budget. Additionally, the increasing adoption of the internet and mobile technologies worldwide has made online travel booking more accessible and convenient for consumers. Furthermore, the availability of a wide range of travel options, competitive pricing, and user-friendly interfaces on online travel platforms attract customers to book their travel arrangements online driving the growth of the Online Travel Market.

The surge in global travelers is fueling the growth of the Online Travel Market. As per the World Economic Forum report released in June 2022, the recent World Tourism Barometer from UNWTO reveals a significant upswing in international tourism, with a remarkable growth rate of 182% in the first quarter of 2022 compared to the same period in the previous year. Moreover, the industry is poised for growth in the forecast period, owing to the growing customer demand for personalized and authentic travel experiences. Furthermore, the market is expected to benefit from the continuous advancements and digital innovations in the travel industry and the ever-changing consumer spending patterns, which present promising opportunities for growth. However, intense competition among online travel agencies, leads to price wars and margin pressure. Additionally, concerns regarding cybersecurity and data privacy pose risks to consumer trust and confidence in online transactions hampering the market growth throughout the forecast period of 2023-2030.

The key regions considered for the Global Online Travel Market study include Asia Pacific, North America, Europe, Latin America, and Middle East & Africa. Asia Pacific dominated the market in 2022. The region benefits from factors such as increasing disposable income, a growing middle-class segment, and widespread internet access. Asia Pacific is also expected to grow significantly over the forecast period, owing to factors such as improved standard of living, and a growing attraction towards the travel and tourism industry. Furthermore, the rise of group travel, facilitated by economic growth, relaxed travel restrictions, heightened competition, and aggressive promotional strategies, is expected to boost industry growth in the region.

Major market player included in this report are:
Expedia Group, Inc.
Ebury Partners UK Ltd
Fareportal Inc.
Hostelworld.com Limited
Hurb Co S/A
MakeMyTrip Ltd.
Oracle Corporation
SABS Travel Technologies
Tavisca Solutions Pvt. Ltd.
Thomas Cook India Ltd

Recent Developments in the Market:
Ø In April 2023, Expedia Group Inc introduced an in-app feature, powered by OpenAI’s ChatGPT, enabling users to initiate conversations and receive recommendations for hotels, flights, and destinations. Expedia and Kayak, part of Booking Holdings Inc., are among the pioneers in integrating generative artificial intelligence with travel search, aiming to simplify travel planning. This feature is exclusively available in the app and for members, with the added convenience of automatically saving the recommendations provided.
Ø In September 2021, Expedia Group introduced the Open World Accelerator, an initiative that expands upon its Open World vision, empowering partners of various sizes with the necessary technology and resources to succeed in the travel market. This program aims to drive innovation in the travel industry by providing support to startups and Small To Medium-Sized Businesses (SMBs) in accelerating their growth and leveraging Expedia’s purpose-built technology platform for innovative solutions.

Global Online Travel Market Report Scope:
ü Historical Data – 2020 – 2021
ü Base Year for Estimation – 2022
ü Forecast period – 2023-2030
ü Report Coverage – Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
ü Segments Covered – Service types, Platforms, Mode of Booking, Age Group, Region
ü Regional Scope – North America; Europe; Asia Pacific; Latin America; Middle East & Africa
ü Customization Scope – Free report customization (equivalent up to 8 analyst’s working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values to the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within countries involved in the study.

The report also caters detailed information about the crucial aspects such as driving factors & challenges which will define the future growth of the market. Additionally, it also incorporates potential opportunities in micro markets for stakeholders to invest along with the detailed analysis of competitive landscape and product offerings of key players. The detailed segments and sub-segment of the market are explained below:

By Service Types:
Travel Accommodation
Vacation Packages

By Platforms:

By Mode of Booking:
Online Travel Agencies (OTAs)
Direct Travel Suppliers

By Age Group:
22-31 Years
32-43 Years
44-56 Years
>56 Years

By Region:

North America


Asia Pacific
South Korea

Latin America

Middle East & Africa
Saudi Arabia
South Africa
Rest of Middle East & Africa

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2020-2030 (USD Billion)
1.2.1. Online Travel Market, by Region, 2020-2030 (USD Billion)
1.2.2. Online Travel Market, by Service types, 2020-2030 (USD Billion)
1.2.3. Online Travel Market, by Platforms, 2020-2030 (USD Billion)
1.2.4. Online Travel Market, by Mode of Booking, 2020-2030 (USD Billion)
1.2.5. Online Travel Market, by Age Group, 2020-2030 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Online Travel Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Industry Evolution
2.2.2. Scope of the Study
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Online Travel Market Dynamics
3.1. Online Travel Market Impact Analysis (2020-2030)
3.1.1. Market Drivers Availability of a wide range of travel options Increasing adoption of internet and mobile technologies
3.1.2. Market Challenges Concerns regarding cybersecurity and data privacy Intense competition among online travel agencies
3.1.3. Market Opportunities Advancements and digital innovations in the travel industry Growing customer demand for personalized and authentic travel experiences
Chapter 4. Global Online Travel Market Industry Analysis
4.1. Porter’s 5 Force Model
4.1.1. Bargaining Power of Suppliers
4.1.2. Bargaining Power of Buyers
4.1.3. Threat of New Entrants
4.1.4. Threat of Substitutes
4.1.5. Competitive Rivalry
4.2. Porter’s 5 Force Impact Analysis
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.3.5. Environmental
4.3.6. Legal
4.4. Top investment opportunity
4.5. Top winning strategies
4.6. COVID-19 Impact Analysis
4.7. Disruptive Trends
4.8. Industry Expert Perspective
4.9. Analyst Recommendation & Conclusion
Chapter 5. Global Online Travel Market, by Service types
5.1. Market Snapshot
5.2. Global Online Travel Market by Service types, Performance – Potential Analysis
5.3. Global Online Travel Market Estimates & Forecasts by Service types 2020-2030 (USD Billion)
5.4. Online Travel Market, Sub Segment Analysis
5.4.1. Transportation
5.4.2. Travel Accommodation
5.4.3. Vacation Packages
Chapter 6. Global Online Travel Market, by Platforms
6.1. Market Snapshot
6.2. Global Online Travel Market by Platforms, Performance – Potential Analysis
6.3. Global Online Travel Market Estimates & Forecasts by Platforms 2020-2030 (USD Billion)
6.4. Online Travel Market, Sub Segment Analysis
6.4.1. Mobile
6.4.2. Desktop
Chapter 7. Global Online Travel Market, by Mode of Booking
7.1. Market Snapshot
7.2. Global Online Travel Market by Mode of Booking, Performance – Potential Analysis
7.3. Global Online Travel Market Estimates & Forecasts by Mode of Booking 2020-2030 (USD Billion)
7.4. Online Travel Market, Sub Segment Analysis
7.4.1. Online Travel Agencies (OTAs)
7.4.2. Direct Travel Suppliers
Chapter 8. Global Online Travel Market, by Age Group
8.1. Market Snapshot
8.2. Global Online Travel Market by Age Group, Performance – Potential Analysis
8.3. Global Online Travel Market Estimates & Forecasts by Age Group 2020-2030 (USD Billion)
8.4. Online Travel Market, Sub Segment Analysis
8.4.1. 22-31 Years
8.4.2. 32-43 Years
8.4.3. 44-56 Years
8.4.4. >56 Years
Chapter 9. Global Online Travel Market, Regional Analysis
9.1. Top Leading Countries
9.2. Top Emerging Countries
9.3. Online Travel Market, Regional Market Snapshot
9.4. North America Online Travel Market
9.4.1. U.S. Online Travel Market Service types breakdown estimates & forecasts, 2020-2030 Platforms breakdown estimates & forecasts, 2020-2030 Mode of Booking breakdown estimates & forecasts, 2020-2030 Age Group breakdown estimates & forecasts, 2020-2030
9.4.2. Canada Online Travel Market
9.5. Europe Online Travel Market Snapshot
9.5.1. U.K. Online Travel Market
9.5.2. Germany Online Travel Market
9.5.3. France Online Travel Market
9.5.4. Spain Online Travel Market
9.5.5. Italy Online Travel Market
9.5.6. Rest of Europe Online Travel Market
9.6. Asia-Pacific Online Travel Market Snapshot
9.6.1. China Online Travel Market
9.6.2. India Online Travel Market
9.6.3. Japan Online Travel Market
9.6.4. Australia Online Travel Market
9.6.5. South Korea Online Travel Market
9.6.6. Rest of Asia Pacific Online Travel Market
9.7. Latin America Online Travel Market Snapshot
9.7.1. Brazil Online Travel Market
9.7.2. Mexico Online Travel Market
9.8. Middle East & Africa Online Travel Market
9.8.1. Saudi Arabia Online Travel Market
9.8.2. South Africa Online Travel Market
9.8.3. Rest of Middle East & Africa Online Travel Market

Chapter 10. Competitive Intelligence
10.1. Key Company SWOT Analysis
10.1.1. Company 1
10.1.2. Company 2
10.1.3. Company 3
10.2. Top Market Strategies
10.3. Company Profiles
10.3.1. Expedia Group, Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
10.3.2. Ebury Partners UK Ltd
10.3.3. Fareportal Inc.
10.3.4. Hostelworld.com Limited
10.3.5. Hurb Co S/A
10.3.6. MakeMyTrip Ltd.
10.3.7. Oracle Corporation
10.3.8. SABS Travel Technologies
10.3.9. Tavisca Solutions Pvt. Ltd.
10.3.10. Thomas Cook India Ltd
Chapter 11. Research Process
11.1. Research Process
11.1.1. Data Mining
11.1.2. Analysis
11.1.3. Market Estimation
11.1.4. Validation
11.1.5. Publishing
11.2. Research Attributes
11.3. Research Assumption

At Bizwit Research and Consultancy, we employ a thorough and iterative research methodology with the goal of minimizing discrepancies, ensuring the provision of highly accurate estimates and predictions over the forecast period. Our approach involves a combination of bottom-up and top-down strategies to effectively segment and estimate quantitative aspects of the market, utilizing our proprietary data & AI tools. Our Proprietary Tools allow us for the creation of customized models specific to the research objectives. This enables us to develop tailored statistical models and forecasting algorithms to estimate market trends, future growth, or consumer behavior. The customization enhances the accuracy and relevance of the research findings.
We are dedicated to clearly communicating the purpose and objectives of each research project in the final deliverables. Our process begins by identifying the specific problem or challenge our client wishes to address, and from there, we establish precise research questions that need to be answered. To gain a comprehensive understanding of the subject matter and identify the most relevant trends and best practices, we conduct an extensive review of existing literature, industry reports, case studies, and pertinent academic research.
Critical elements of methodology employed for all our studies include:
Data Collection:
To determine the appropriate methods of data collection based on the research objectives, we consider both primary and secondary sources. Primary data collection involves gathering information directly from various industry experts in core and related fields, original equipment manufacturers (OEMs), vendors, suppliers, technology developers, alliances, and organizations. These sources encompass all segments of the value chain within the specific industry. Through in-depth interviews, we engage with key industry participants, subject-matter experts, C-level executives of major market players, industry consultants, and other relevant experts. This allows us to obtain and validate critical qualitative and quantitative information while evaluating market prospects. AI and Big Data are instrumental in our primary research, providing us with powerful tools to collect, analyze, and derive insights from data efficiently. These technologies contribute to the advancement of research methodologies, enabling us to make data-driven decisions and uncover valuable findings.
In addition to primary sources, we extensively utilize secondary sources to enhance our research. These include directories, databases, journals focusing on related industries, company newsletters, and information portals such as Bloomberg, D&B Hoovers, and Factiva. These secondary sources enable us to identify and gather valuable information for our comprehensive, technical, market-oriented, and commercial study of the market. Additionally, we utilize AI algorithms to automate the collection of vast amounts of data from various sources such as surveys, social media platforms, online transactions, and web scraping. And employ Big Data technologies for storage and processing of large datasets, ensuring that no valuable information is missed during the data collection process.
Data Analysis:
Our team of experts carefully examine the gathered data using suitable statistical techniques and qualitative analysis methods. For quantitative analysis, we employ descriptive statistics, regression analysis, and other advanced statistical methods, depending on the characteristics of the data. This analysis may also incorporate the utilization of AI tools and big data analysis techniques to extract meaningful insights.
To ensure the accuracy and reliability of our findings, we extensively leverage data science techniques, which help us minimize discrepancies and uncertainties in our analysis. We employ Data Science to clean and preprocess the data, ensuring its quality and reliability. This involves handling missing data, removing outliers, standardizing variables, and transforming data into suitable formats for analysis. The application of data science techniques enhances our accuracy, efficiency, and depth of analysis, enabling us to stay competitive in dynamic market environments.
Market Size Estimation:
Our proprietary data tools play a crucial role in deriving our market estimates and forecasts. Each study involves the creation of a unique and customized model. The model incorporates the gathered information on market dynamics, technology landscape, application development, and pricing trends. AI techniques, such as machine learning and deep learning, aid us to analyze patterns within the data to identify correlations, trends, and relationships. By recognizing patterns in consumer behavior, purchasing habits, or market dynamics, our AI algorithms aid us in more precise estimations of market size. These factors are simultaneously analyzed within the model, allowing for a comprehensive assessment. To quantify their impact over the forecast period, correlation, regression, and time series analysis are employed.
To estimate and validate the market size, we employ both top-down and bottom-up approaches. The preference is given to a bottom-up approach, where key regional markets are analyzed as separate entities. This data is then integrated to obtain global estimates. This approach is crucial as it provides a deep understanding of the industry and helps minimize errors.
In our forecasting process, we consider various parameters such as economic tools, technological analysis, industry experience, and domain expertise. By taking all these factors into account, we strive to produce accurate and reliable market forecasts. When forecasting, we take into consideration several parameters, which include:
Market driving trends and favorable economic conditions
Restraints and challenges that are expected to be encountered during the forecast period.
Anticipated opportunities for growth and development
Technological advancements and projected developments in the market
Consumer spending trends and dynamics
Shifts in consumer preferences and behaviors.
The current state of raw materials and trends in supply versus pricing
Regulatory landscape and expected changes or developments.
The existing capacity in the market and any expected additions or expansions up to the end of the forecast period.
To assess the market impact of these parameters, we assign weights to each one and utilize weighted average analysis. This process allows us to quantify their influence on the market and derive an expected growth rate for the forecasted period. By considering these various factors and applying a weighted analysis approach, we strive to provide accurate and reliable market forecasts.
Insight Generation & Report Presentation:
After conducting the research, our experts analyze the findings in relation to the research objectives and the specific needs of the client. They generate valuable insights and recommendations that directly address the client’s business challenges. These insights are carefully connected to the research findings to provide a comprehensive understanding.
Next, we create a well-structured research report that effectively communicates the research findings, insights, and recommendations to the client. To enhance clarity and comprehension, we utilize visual aids such as charts, graphs, and tables. These visual elements are employed to present the data in an engaging and easily understandable format, ensuring that the information is accessible and visually appealing to the client. Our aim is to deliver a clear and concise report that conveys the research findings effectively and provides actionable recommendations to meet the client’s specific needs.

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