The online accommodation booking market is experiencing robust growth, driven by the increasing adoption of smartphones, readily available high-speed internet, and a surge in travel and tourism activities globally. The market's expansion is fueled by several factors, including the convenience and cost-effectiveness of online booking platforms compared to traditional methods. Consumers benefit from a wider selection of accommodation options, transparent pricing, and the ability to compare offerings easily. The rise of the sharing economy, exemplified by platforms like Airbnb, has further diversified the market, offering unique and budget-friendly alternatives to traditional hotels. Mobile applications have become a crucial aspect of this market, accounting for a significant portion of bookings, highlighting the importance of user-friendly mobile interfaces and seamless mobile payment options. The market is segmented by application (student accommodation, short-term rentals, tourism) and booking type (mobile app, website), reflecting the diverse needs and preferences of travelers. Competition is fierce, with established players like Expedia, Booking Holdings, and Airbnb vying for market share alongside regional and niche players. Significant regional variations exist in the market's growth trajectory. North America and Europe are currently leading the market, benefiting from high disposable incomes and a well-established tourism infrastructure. However, rapid growth is expected in the Asia-Pacific region, particularly in countries like India and China, fueled by rising middle classes and increased internet penetration. Market restraints include concerns about data security, pricing fluctuations, and the occasional lack of customer service responsiveness on some platforms. To overcome these challenges, companies are investing in enhanced security measures, developing more sophisticated pricing algorithms, and improving customer support channels. Future growth will be driven by innovations in artificial intelligence (AI) for personalized recommendations, the integration of virtual reality (VR) for virtual property tours, and the development of sustainable tourism practices. The continued expansion of the global travel sector, along with technological advancements, is poised to drive substantial growth in the online accommodation booking market over the next decade.

Discover the booming online accommodation booking market! Explore a detailed analysis revealing a projected $1.4 trillion market value by 2033, driven by mobile booking, budget travel, and innovative lodging options. Learn about key players, regional trends, and future growth projections.

Reservations on Airbnb, Expedia and Booking.com declined significantly in Europe's most popular holiday countries during the coronavirus pandemic in 2020 and the beginning of 2021. Online reservations for tourist accommodations in Spain, for example, reached a year-on-year decrease of ** percent in week **, a figure broadly comparable to that in France, Italy and the United Kingdom. During the summer, figures did pick up again but were still lower than those in 2019.

In May 2024, nearly ****** nights were booked in Airbnbs located in Hong Kong. The number of overnight bookings in Hong Kong reached its peak in August 2023, with more than ****** Airbnb nights sold out.

Description: The dataset contains information on property listings from Airbnb, an online marketplace connecting hosts offering accommodations with guests seeking lodging in various locales. Specifically, it includes data on the number of property images associated with each listing and the corresponding number of bookings it attracts. Additionally, the dataset highlights a significant trend that Airbnb has witnessed indicating an intriguing trend that suggests a correlation between the number of property images associated with a listing and the number of bookings it attracts. It also addresses the issue of redundant listings lacking associated images, which fail to attract bookings.

Variables in Listing dataset: Here's a data dictionary for the given dataset:

1. id

   • Description: Unique identifier for each listing.
   • Data Type: String or Integer

2. host_days

   • Description: Number of days since the host joined the platform.
   • Data Type: Integer

3. host_response_time

   • Description: Time taken by the host to respond to inquiries.
   • Data Type: Categorical (e.g., within an hour, within a few hours, within a day, not available)

4. host_response_rate

   • Description: Percentage of inquiries to which the host responds.
   • Data Type: Numeric (Percentage)

5. host_acceptance_rate

   • Description: Percentage of booking requests accepted by the host.
   • Data Type: Numeric (Percentage)

6. host_is_superhost

   • Description: Indicates whether the host is a superhost or not.
   • Data Type: Boolean (True/False)

7. host_listings_count

   • Description: Number of listings managed by the host.
   • Data Type: Integer

8. host_identity_verified

   • Description: Indicates whether the host's identity is verified.
   • Data Type: Boolean (True/False)

9. neighbourhood_cleansed

   • Description: Name of the neighborhood where the listing is located (cleaned version).
   • Data Type: String

10. city

    • Description: Name of the city where the listing is located.
    • Data Type: String

11. property_type

    • Description: Type of property (e.g., apartment, house, villa).
    • Data Type: String

12. room_type

    • Description: Type of room available (e.g., entire home/apt, private room, shared room).
    • Data Type: String

13. accommodates

    • Description: Maximum number of guests accommodated.
    • Data Type: Integer

14. bathrooms

    • Description: Number of bathrooms in the listing.
    • Data Type: Numeric

15. bedrooms

    • Description: Number of bedrooms in the listing.
    • Data Type: Numeric

16. beds

    • Description: Number of beds in the listing.
    • Data Type: Numeric

17. bed_type

    • Description: Type of bed (e.g., real bed, sofa bed, futon).
    • Data Type: String

18. price

    • Description: Price per night for the listing.
    • Data Type: Numeric

19. security_deposit

    • Description: Amount of security deposit required for the booking.
    • Data Type: Numeric

20. cleaning_fee

    • Description: Cleaning fee charged for the booking.
    • Data Type: Numeric

21. guests_included

    • Description: Number of guests included in the base price.
    • Data Type: Integer

22. extra_people

    • Description: Additional fee for extra guests beyond the included number.
    • Data Type: Numeric

23. minimum_nights

    • Description: Minimum number of nights required for booking.
    • Data Type: Integer

24. review_scores_rating

    • Description: Overall rating score for the listing.
    • Data Type: Numeric

25. review_scores_accuracy

    • Description: Rating score for accuracy of listing description.
    • Data Type: Numeric

26. review_scores_cleanliness

    • Description: Rating score for cleanliness of the listing.
    • Data Type: Numeric

27. review_scores_checkin

    • Description: Rating score for check-in process.
    • Data Type: Numeric

28. review_scores_communication

    • Description: Rating score for host communication.
    • Data Type: Numeric

29. review_scores_location

    • Description: Rating score for listing location.
    • Data Type: Numeric

30. review_scores_value

    • Description: Rating score for value provided by the listing.
    • Data Type: Numeric

31. instant_bookable

    • Description: Indicates whether instant booking is available for the listing.
    • Data Type: Boolean (True/False)

32. cancellation_policy

    • Description: Policy governing cancellation of bookings.
    • Data Type: Categorical (e.g., flexible, moderate, strict)

33. reviews_per_month

    • Description: Average number of reviews received per month.
    • Data Type: Numeric

The global travel services market is booming, projected to reach [estimated 2033 market size in billions] by 2033, fueled by rising disposable incomes and technological advancements. This comprehensive analysis explores market size, CAGR, key players, regional trends, and future growth opportunities in online travel booking, domestic flights, hotels, and more.

The weekly year-over-year bookings for Airbnb properties in Lisbon fell dramatically due to the outbreak of the (COVID-19) coronavirus in early 2020; In the week ending April 12, Airbnb only achieved *** percent of last years bookings in the Portuguese capital.

Bookings for Airbnb properties in Hamburg were significantly affected in the first half of 2020 by the COVID-19 pandemic. Weekly year-over-year bookings declined most dramatically in March and April, with bookings in the week ending ******** at only *** percent of those achieved in the same period in 2019 (a decline of **** percent). As Western Europe began to travel again in July, Airbnb began to recover; During the week ending ***************, Airbnb bookings in Hamburg had gone up to ** percent of the amount achieved in 2019.

Discover the booming global travel service platform market! Our in-depth analysis reveals key trends, growth drivers, and leading companies like Airbnb, Booking.com and Expedia from 2019-2033, projecting a massive market value. Learn about market segmentation, regional insights, and future opportunities.

The online travel booking platform market is booming, projected to reach $1.26B in 2025 with an 18.52% CAGR. Discover key trends, leading companies, regional analysis, and growth forecasts in this in-depth market report. Explore the impact of mobile technology, budget travel, and competitive strategies shaping this dynamic industry.

Discover the booming online booking service market! This comprehensive analysis reveals key trends, growth drivers, and regional insights from 2019-2033, featuring major players like Expedia and Airbnb. Explore market segmentation, CAGR projections, and future growth potential in this dynamic sector.

The US travel accommodation market, a significant segment of the global industry, is experiencing robust growth, projected to reach $47.10 billion in 2025 and maintain a Compound Annual Growth Rate (CAGR) exceeding 7.00% through 2033. This expansion is fueled by several key factors. Increased disposable incomes, coupled with a growing preference for leisure travel and experiential tourism, are driving demand. Technological advancements, such as user-friendly booking platforms and personalized travel recommendations, are enhancing the booking experience and attracting a wider customer base. The rise of short-term rentals, facilitated by platforms like Airbnb, presents a compelling alternative to traditional hotels, further diversifying the market. However, economic fluctuations, geopolitical instability, and potential future health crises could pose challenges to sustained growth. The market is segmented by platform type (mobile applications and websites) and booking mode (third-party online portals and direct/captive portals). Major players such as Booking.com, Expedia, Hotels.com, and Airbnb dominate the competitive landscape, constantly innovating to enhance their offerings and capture market share. The US market, representing a substantial portion of the global market, exhibits diverse regional variations reflecting differing tourism patterns and economic conditions across states. Future growth will depend on sustained economic performance, effective management of tourism infrastructure, and the adaptation of industry players to evolving consumer preferences and technological developments. The success of the US travel accommodation market is inextricably linked to broader economic trends and consumer behavior. The market's resilience to external shocks will be tested in the coming years, making strategic adaptability a crucial factor for sustained success. Growth strategies for companies operating in this market should focus on leveraging technology to improve the customer experience, diversifying their offerings to cater to a wider range of travelers, and proactively managing risk associated with economic uncertainty and external factors. Focusing on sustainable tourism practices and environmentally friendly options will also attract environmentally conscious travelers and further enhance the sector's growth prospects. Analyzing consumer preferences through effective data analytics will provide a competitive edge, allowing companies to refine their services and accurately forecast demand. Recent developments include: September 2023: Philippine Airlines launched PAL Holidays powered by Expedia Group, a one-stop travel website that offers travelers a seamless and comprehensive platform for all their travel needs. The new site is now live in the US, Canada, Australia, and the Philippines. The new platform is powered by Expedia Group’s White Label Template technology. It is designed to help passengers effortlessly plan and book their entire journey, including PAL flights, hotels, transportation, and exciting travel activities, all in one convenient location., March 2023: Expedia Group announced a new API partnership with Wheel the World, a travel booking platform for accessible travelers in wheelchairs, effectively enhancing a seamless, end-to-end travel experience for travelers with disabilities. Through Expedia Group’s Rapid API technology, Wheel the World customers will have access to Expedia Group’s extensive directly sourced hotel inventory with the ability to filter properties by their accessibility needs and preferences.. Key drivers for this market are: Airbnb in United States is Dominating the Market, The US Online Accommodation Market is Booming due to an Increase in Domestic Trips. Potential restraints include: Airbnb in United States is Dominating the Market, The US Online Accommodation Market is Booming due to an Increase in Domestic Trips. Notable trends are: Rise in the Number of Visitors in California.

The weekly year-over-year bookings on Airbnb in Athens have experienced a significant decrease over the period from January to July 2020. The numbers peaked in the week ending January 5 at around *** percent (representing a * percent increase in bookings). However these soon fell following the outbreak of the coronavirus (COVID-19), only managing *** percent of last years bookings during the week ending April 26.

Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

Key Travel Datasets Available:

  Hotel & Rental Listings: Access detailed data on hotel properties, short-term rentals, and vacation stays from platforms like 
    Airbnb, Booking.com, and other OTAs. This includes property details, pricing, availability, guest reviews, and amenities.

  Real-Time & Historical Pricing Data: Track hotel room pricing, rental occupancy rates, and pricing trends 
    to optimize revenue management and competitive analysis.

  Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
    including restaurant details, customer ratings, menus, and delivery availability.

  Market & Trend Analysis: Use structured datasets to analyze travel demand, seasonal trends, and consumer preferences 
    across different regions.

  Geo-Targeted Data: Get location-specific insights with city, state, and country-level segmentation, 
    allowing for precise market research and localized business strategies.



Use Cases for Travel Datasets:

  Dynamic Pricing & Revenue Optimization: Adjust pricing strategies based on real-time market trends and competitor analysis.
  Market Research & Competitive Intelligence: Identify emerging travel trends, monitor competitor performance, and assess market demand.
  Travel & Hospitality App Development: Enhance travel platforms with accurate, up-to-date data on hotels, restaurants, and rental properties.
  Investment & Financial Analysis: Evaluate travel industry performance for investment decisions and economic forecasting.



  Our travel datasets are available in multiple formats (JSON, CSV, Excel) and can be delivered via 
  API, cloud storage (AWS, Google Cloud, Azure), or direct download. 
  Stay ahead in the travel industry with high-quality, structured data that powers smarter decisions.

Discover the booming alternative accommodation market! This in-depth analysis reveals key trends, growth drivers, and leading players in the vacation rental industry, including Airbnb, Booking.com, and VRBO. Explore market size projections, regional breakdowns, and future growth potential in this rapidly expanding sector.

The weekly year-over-year bookings for Airbnb properties in Porto fell dramatically due to the outbreak of the (COVID-19) coronavirus in early 2020; In the week ending ********, Airbnb achieved less than *** percent of the bookings it had achieved in the Portuguese city during the same period last year.

The global travel accommodation market, currently experiencing robust growth with a CAGR exceeding 11%, is projected to reach substantial value by 2033. Driven by increasing disposable incomes, a rising global middle class, and the persistent popularity of leisure and business travel, this market demonstrates significant potential. Key growth drivers include the proliferation of online travel agencies (OTAs) offering diverse booking options, the increasing adoption of mobile booking applications providing convenience and accessibility, and the expanding range of accommodation choices, from budget-friendly hostels to luxury resorts. Furthermore, the integration of technology, such as AI-powered recommendation engines and personalized travel itineraries, enhances the customer experience and fuels market expansion. While challenges exist, such as economic fluctuations impacting travel spending and potential disruptions from geopolitical events, the long-term outlook remains positive, fueled by the enduring human desire for exploration and new experiences. The market segmentation reveals a dynamic landscape. Mobile applications are gaining significant traction, surpassing website bookings in many regions due to their convenience and widespread smartphone penetration. Third-party online travel portals dominate the booking mode segment, leveraging their extensive networks and marketing reach. However, direct bookings via captive portals are steadily increasing as hotels and accommodation providers invest in their own branding and online platforms to enhance customer loyalty and reduce reliance on OTAs. Regional variations exist, with North America and Europe currently holding the largest market shares, though the Asia-Pacific region is anticipated to witness the most significant growth in the coming years, fueled by the rapid economic development and increasing tourism in countries like China and India. Competition amongst major players like Booking.com, Expedia, Airbnb, and others remains intense, necessitating continuous innovation and strategic expansion to maintain market share. Recent developments include: On March 29, 2022, Accor partnered with D-EDGE to provide the next-generation CRS to their hotels worldwide. Accor hotels will progressively and seamlessly switch from the TARS to the D-EDGE CRS. The unique connectivity provided by D-EDGE, compared to any other system, will power all Accor hotels to maximize their distribution., On November 10, 2021, Agoda announced the expansion of its advertising solutions to help partners tap into the platform's audience of travelers, as well as rebranding its advertising business to Agoda Media Solutions to align with its latest offerings.. Notable trends are: Rising Internet Usage Pushing Customers Towards Online Accommodation in France..

Discover the booming online travel industry! This comprehensive analysis reveals market size, growth trends (CAGR >10%), key players (Expedia, Booking.com, Airbnb), and regional insights through 2033. Learn about the impact of mobile apps, direct bookings, and future challenges. Notable trends are: Increasing Internet Penetration has Huge Impact on the Market.

The online travel market, currently valued at $656.31 million in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 7.5% from 2025 to 2033. This growth is fueled by several key factors. Increased smartphone penetration and affordable internet access globally are driving higher adoption rates among younger demographics, who increasingly rely on online platforms for booking flights, accommodations, and travel packages. Furthermore, the rise of travel influencers and personalized travel recommendations through sophisticated algorithms are shaping consumer preferences and driving bookings. The increasing popularity of budget travel and the rise of alternative accommodation options like Airbnb contribute significantly to market expansion. Competitive pricing strategies employed by major players like Expedia, Booking.com, and Airbnb, alongside innovative features like real-time booking and integrated travel planning tools, enhance user experience and drive market penetration. However, the market faces certain challenges. Fluctuations in global fuel prices and economic downturns can significantly impact travel spending. Increasing regulatory scrutiny regarding data privacy and consumer protection also presents a hurdle for online travel agencies. Furthermore, the potential for cybersecurity threats and the need for continuous investment in robust security measures are critical aspects for sustaining growth. The competitive landscape, characterized by established players and emerging startups, necessitates continuous innovation and strategic partnerships to maintain a strong market position. Despite these challenges, the long-term outlook remains positive, driven by sustained growth in disposable incomes, evolving travel preferences, and the continued advancements in technology within the online travel sector.

The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.