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Global Online Accommodation Booking Market to reach USD XX billion by the end of 2029.

Global Online Accommodation Booking Market Size study & Forecast, Platform (Mobile Application, Website), by Mode of Booking (Third-party online portals, Direct/captive portals) and Regional Analysis, 2022-2029

Product Code: OIRCGS-60925560
Publish Date: 24-04-2023
Page: 200

Global Online Accommodation Booking Market is valued at approximately USD XX billion in 2021 and is anticipated to grow with a healthy growth rate of more than XX % over the forecast period 2022-2029. Online Accommodation Booking is a popular method for booking hotel rooms. It helps travellers to book rooms on a computer by using online platforms and offers security to protect their financial and private information. Also, it helps online travel agents to compare facilities and prices. The Online Accommodation Booking market is expanding because of factors such as the rising growth across the tourism industry and supportive government policies in the forecast period.

Rising tourism activities across the globe is fostering the market growth. According to Statista 2022, the global tourism sector has risen by 20 % in 2021. Also, in 2021, the tourism sector attains a volume of around USD 1.31 trillion and again in 2022, the market value reached to around USD 1.67 trillion. Whereas rising demand for secure accommodation and favorable initiatives by market players create lucrative opportunities for the market. However, incidences of Misuse of Users’ financial data by an untrusted third party hamper the market growth throughout the forecast period of 2022-2029.

The key regions considered for the Global Online Accommodation Booking Market study include Asia Pacific, North America, Europe, Latin America, and the Rest of the World. Asia Pacific dominated the market in terms of revenue, owing to the increasing population, growing tourist population, and demand for secure accommodation. Whereas the Asia Pacific is expected to grow with the highest CAGR during the forecast period, owing to factors such as supportive government policies, and favorable activities by market players in the region.

Major market players included in this report are:
Expedia Group Inc.
Booking Holdings Inc.
Trip.com Group Ltd.
Airbnb Inc.
Tripadvisor Inc.
Oravel Stays Pvt Ltd
Traveloka Indonesia PT
Hotelbeds Group SL
Hostelworld Group

Recent Developments in the Market:
Ø In January 2021, a Hong Kong-based services and travel activities booking platform Klook Company announced an investment of USD 200 million in order to introduce new business verticals such as accommodation packages and car rentals in its business.
Ø In December 2020, a Singapore-based hotel accommodation booking platform VResort launched its virtual reality technology-based hotel booking platform. It allows customers to browse and book hotels through VR devices.
Global Online Accommodation Booking Market Report Scope:
Historical Data 2019-2020-2021
Base Year for Estimation 2021
Forecast period 2022-2029
Report Coverage Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Segments Covered Platform, Mode of Booking, Region
Regional Scope North America; Europe; Asia Pacific; Latin America; Rest of the World
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 Platform:
Mobile Application,

By Mode of Booking:
Third-party online portals,
Direct/captive portals

By Region:
North America
Asia Pacific
South Korea
Latin America
Rest of the World

Chapter 1. Executive Summary
1.1. Market Snapshot
1.2. Global & Segmental Market Estimates & Forecasts, 2019-2029 (USD Billion)
1.2.1. Online Accommodation Booking Market, by Region, 2019-2029 (USD Billion)
1.2.2. Online Accommodation Booking Market, by Platform, 2019-2029 (USD Billion)
1.2.3. Online Accommodation Booking Market, by Mode of Booking, 2019-2029 (USD Billion)
1.3. Key Trends
1.4. Estimation Methodology
1.5. Research Assumption
Chapter 2. Global Online Accommodation Booking Market Definition and Scope
2.1. Objective of the Study
2.2. Market Definition & Scope
2.2.1. Scope of the Study
2.2.2. Industry Evolution
2.3. Years Considered for the Study
2.4. Currency Conversion Rates
Chapter 3. Global Online Accommodation Booking Market Dynamics
3.1. Online Accommodation Booking Market Impact Analysis (2019-2029)
3.1.1. Market Drivers Rising growth across the tourism industry Supportive government policies
3.1.2. Market Challenges Incidences of Misuse of Users’ financial data by an untrusted third party.
3.1.3. Market Opportunities Rising demand for secure accommodation Favourable initiatives by market players
Chapter 4. Global Online Accommodation Booking 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. Futuristic Approach to Porter’s 5 Force Model (2019-2029)
4.3. PEST Analysis
4.3.1. Political
4.3.2. Economical
4.3.3. Social
4.3.4. Technological
4.4. Investment Adoption Model
4.5. Analyst Recommendation & Conclusion
4.6. Top investment opportunity
4.7. Top winning strategies
Chapter 5. Risk Assessment: COVID-19 Impact
5.1. Assessment of the overall impact of COVID-19 on the industry
5.2. Pre COVID-19 and post COVID-19 Market scenario
Chapter 6. Global Online Accommodation Booking Market, by Platform
6.1. Market Snapshot
6.2. Global Online Accommodation Booking Market by Platform, Performance – Potential Analysis
6.3. Global Online Accommodation Booking Market Estimates & Forecasts by Platform 2019-2029 (USD Billion)
6.4. Online Accommodation Booking Market, Sub-Segment Analysis
6.4.1. Mobile Application,
6.4.2. Website
Chapter 7. Global Online Accommodation Booking Market, by Mode of Booking
7.1. Market Snapshot
7.2. Global Online Accommodation Booking Market by Mode of Booking, Performance – Potential Analysis
7.3. Global Online Accommodation Booking Market Estimates & Forecasts by Mode of Booking 2019-2029 (USD Billion)
7.4. Online Accommodation Booking Market, Sub-Segment Analysis
7.4.1. Third-party online portals,
7.4.2. Direct/captive portals
Chapter 8. Global Online Accommodation Booking Market, Regional Analysis
8.1. Online Accommodation Booking Market, Regional Market Snapshot
8.2. North America Online Accommodation Booking Market
8.2.1. U.S. Online Accommodation Booking Market Platform breakdown estimates & forecasts, 2019-2029 Mode of Booking breakdown estimates & forecasts, 2019-2029
8.2.2. Canada Online Accommodation Booking Market
8.3. Europe Online Accommodation Booking Market Snapshot
8.3.1. U.K. Online Accommodation Booking Market
8.3.2. Germany Online Accommodation Booking Market
8.3.3. France Online Accommodation Booking Market
8.3.4. Spain Online Accommodation Booking Market
8.3.5. Italy Online Accommodation Booking Market
8.3.6. Rest of Europe Online Accommodation Booking Market
8.4. Asia-Pacific Online Accommodation Booking Market Snapshot
8.4.1. China Online Accommodation Booking Market
8.4.2. India Online Accommodation Booking Market
8.4.3. Japan Online Accommodation Booking Market
8.4.4. Australia Online Accommodation Booking Market
8.4.5. South Korea Online Accommodation Booking Market
8.4.6. Rest of Asia Pacific Online Accommodation Booking Market
8.5. Latin America Online Accommodation Booking Market Snapshot
8.5.1. Brazil Online Accommodation Booking Market
8.5.2. Mexico Online Accommodation Booking Market
8.6. Rest of The World Online Accommodation Booking Market

Chapter 9. Competitive Intelligence
9.1. Top Market Strategies
9.2. Company Profiles
9.2.1. Expedia Group Inc. Key Information Overview Financial (Subject to Data Availability) Product Summary Recent Developments
9.2.2. Booking Holdings Inc.
9.2.3. Trip.com Group Ltd.
9.2.4. Airbnb Inc.
9.2.5. Tripadvisor Inc.
9.2.6. Oravel Stays Pvt Ltd
9.2.7. Traveloka Indonesia PT
9.2.8. HRS GmbH
9.2.9. Hotelbeds Group SL
9.2.10. Hostelworld Group
Chapter 10. Research Process
10.1. Research Process
10.1.1. Data Mining
10.1.2. Analysis
10.1.3. Market Estimation
10.1.4. Validation
10.1.5. Publishing
10.2. Research Attributes
10.3. 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.
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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:
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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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