100+ datasets found
  1. b

    Airbnb Revenue and Usage Statistics (2025)

    • businessofapps.com
    Updated Aug 25, 2020
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    Business of Apps (2020). Airbnb Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/airbnb-statistics/
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    Dataset updated
    Aug 25, 2020
    Dataset authored and provided by
    Business of Apps
    License

    Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
    License information was derived automatically

    Description

    In 2007, a cash-strapped Brian Chesky came up with a shrewd way to pay his $1,200 San Francisco apartment rent. He would offer “Air bed and breakfast”, which consisted of three airbeds,...

  2. s

    Airbnb Listings Per Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Listings Per Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Listings per region on Airbnb declined from 2020 to 2021. Globally in 2021, there were a total of 12.7 million listings.

  3. V

    Vacation Rental Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Jul 11, 2025
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    Market Report Analytics (2025). Vacation Rental Market Report [Dataset]. https://www.marketreportanalytics.com/reports/vacation-rental-market-3589
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    doc, ppt, pdfAvailable download formats
    Dataset updated
    Jul 11, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The vacation rental market, currently valued at $98.87 billion in 2025, is experiencing robust growth, projected to maintain a 4.1% CAGR from 2025 to 2033. This expansion is driven by several key factors. The increasing popularity of experiential travel, a preference for flexible accommodations, and the rising adoption of online booking platforms are significantly boosting market demand. Furthermore, the diversification of rental offerings, encompassing everything from budget-friendly apartments to luxury villas, caters to a broader range of travelers' preferences and budgets. The market is segmented by management type (owner-managed vs. professionally managed) and booking method (online vs. offline), with online bookings showing a dominant and rapidly growing share. Strong growth is observed across all regions, particularly in North America and Europe, fueled by a surge in domestic and international tourism. However, factors such as fluctuating travel regulations, economic uncertainties, and seasonality can influence market performance. The competitive landscape is characterized by a mix of established players like Expedia Group and Airbnb, alongside numerous smaller, localized operators. These companies are employing various strategies including technological advancements, strategic partnerships, and enhanced customer service to maintain their market positions. The forecast period (2025-2033) anticipates continued growth, driven by ongoing technological advancements within the vacation rental industry, such as improved search functionalities, AI-powered pricing optimization, and enhanced customer relationship management tools. The increasing use of mobile applications for booking and managing rentals also contributes to this positive outlook. While regulatory changes and economic conditions pose potential challenges, the overall trend points towards a consistently expanding market fueled by changing consumer preferences and the ongoing digitalization of travel planning and booking. The strategic diversification of offerings and the entrance of new players are expected to further invigorate the market, while competition will continue to drive innovation and efficiency.

  4. s

    Airbnb Average Prices By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Average Prices By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    The current average price per night globally on Airbnb is $137 per night.

  5. Mexico: Airbnb key figures 2018

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Mexico: Airbnb key figures 2018 [Dataset]. https://www.statista.com/statistics/1043892/key-figures-airbnb-mexico/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2018
    Area covered
    Mexico
    Description

    According to data reported by Airbnb, travelers that use this rental platform in Mexico generated *** billion U.S. dollars in tourism revenues in 2018, putting Mexico in the top ten ranking of countries with the greatest Airbnb direct economic impact in the world. This impact was calculated based on host income and estimated guest spending.

    On a survey, most Mexican hosts (** percent) said they used the platform to have an additional income, while about ** percent claimed to use the money earned through renting their accommodation to pay and maintain it. On the other hand, half of the guests surveyed said they spent the extra money they saved by staying in Airbnb rentals on the local businesses of the communities they visited.

  6. s

    Airbnb Gross Revenue By Country

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Gross Revenue By Country [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    These are the Airbnb statistics on gross revenue by country.

  7. Airbnb revenue 2017-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Airbnb revenue 2017-2024 [Dataset]. https://www.statista.com/statistics/1193134/airbnb-revenue-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The total revenue of Airbnb reached **** billion U.S. dollars in 2024. This was an increase over the previous year's total of **** billion. The decrease in revenue in 2020 can be attributed to the coronavirus (COVID-19) pandemic, which caused travel disruption across the globe. When breaking down Airbnb revenue by region, ***************************************, brought in the most revenue in 2024. Where are Airbnb’s biggest markets? Airbnb is a home sharing economy platform that operates in many countries around the world. The company’s biggest market is in ************* where Airbnb’s gross booking value amounted to **** billion U.S. dollars. Meanwhile, Latin American travelers stayed more nights with Airbnb on average than those in the Asia Pacific region. How did COVID-19 impact Airbnb? The COVID-19 pandemic impacted the travel and tourism industry worldwide, with many countries initiating stay at home orders or travel bans to prevent the spread of the virus. In addition to a decrease in revenue in 2020, the company also experienced a reduction in the number of nights and experiences booked with Airbnb. Bookings fell to under *** million in 2020 due to these travel restrictions. In 2024, Airbnb reported over *** million booked nights and experiences, a significant increase over the previous year.

  8. s

    Airbnb Commission Revenue By Region

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Commission Revenue By Region [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
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    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.

  9. a

    Business Bay Airbnb Market Data

    • airroi.com
    Updated Jun 29, 2025
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    AirROI (2025). Business Bay Airbnb Market Data [Dataset]. https://www.airroi.com/data-portal/markets/business-bay
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    Dataset updated
    Jun 29, 2025
    Dataset authored and provided by
    AirROI
    License

    Attribution-NonCommercial 4.0 (CC BY-NC 4.0)https://creativecommons.org/licenses/by-nc/4.0/
    License information was derived automatically

    Time period covered
    Jan 2012 - Jun 2025
    Area covered
    Business Bay, United Arab Emirates
    Description

    Comprehensive Airbnb dataset for Business Bay, United Arab Emirates providing detailed vacation rental analytics including property listings, pricing trends, host information, review sentiment analysis, and occupancy rates for short-term rental market intelligence and investment research.

  10. S

    Short-Term Vacation Rentals (STRs) Report

    • marketresearchforecast.com
    doc, pdf, ppt
    Updated Mar 16, 2025
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    Market Research Forecast (2025). Short-Term Vacation Rentals (STRs) Report [Dataset]. https://www.marketresearchforecast.com/reports/short-term-vacation-rentals-strs-36131
    Explore at:
    pdf, doc, pptAvailable download formats
    Dataset updated
    Mar 16, 2025
    Dataset authored and provided by
    Market Research Forecast
    License

    https://www.marketresearchforecast.com/privacy-policyhttps://www.marketresearchforecast.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The short-term vacation rental (STR) market is experiencing robust growth, driven by several key factors. The increasing popularity of experiential travel, coupled with the desire for more personalized and flexible accommodations compared to traditional hotels, fuels demand. Technological advancements, particularly the rise of online booking platforms like Airbnb and Booking.com, have significantly lowered entry barriers for both hosts and renters, further expanding the market. The diverse range of rental options, from cozy apartments for weekend getaways to spacious villas for extended family vacations, caters to a broad spectrum of traveler needs. Furthermore, the shift towards remote work and digital nomadism has contributed to a rise in longer-term stays, creating new revenue streams for property owners. We estimate the 2025 market size at $500 billion, reflecting a strong CAGR of 10% from 2019 to 2025. Segment-wise, 3-8 day tourist rentals represent the largest portion of the market due to their appeal to both leisure and business travelers seeking mid-length stays. Despite its considerable growth, the STR market faces certain challenges. Regulation and taxation remain key concerns in many regions, with differing legal frameworks influencing property owners' ability to operate legally and sustainably. Seasonal fluctuations in demand can lead to revenue instability for hosts, particularly in locations heavily reliant on tourism. The increasing competition among numerous players, both established platforms and independent hosts, necessitates strong marketing and differentiation strategies for success. Despite these headwinds, the long-term outlook for the STR market remains positive, with continued growth expected throughout the forecast period (2025-2033). We project a steady expansion, driven by evolving traveler preferences and ongoing technological innovations in booking and property management. Factors such as increased focus on sustainable travel and the rise of niche platforms will continue to shape the market landscape in the coming years.

  11. s

    Airbnb Corporate Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Corporate Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/
    Explore at:
    Dataset updated
    Mar 17, 2025
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Description

    Airbnb has a total of 6,132 employees that work for the company. 52.5% of Airbnb workers are male and 47.5% are female.

  12. O

    Online Home Rental Services Report

    • archivemarketresearch.com
    doc, pdf, ppt
    Updated Mar 12, 2025
    + more versions
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    Archive Market Research (2025). Online Home Rental Services Report [Dataset]. https://www.archivemarketresearch.com/reports/online-home-rental-services-56124
    Explore at:
    doc, pdf, pptAvailable download formats
    Dataset updated
    Mar 12, 2025
    Dataset authored and provided by
    Archive Market Research
    License

    https://www.archivemarketresearch.com/privacy-policyhttps://www.archivemarketresearch.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The online home rental services market is experiencing robust growth, driven by increasing urbanization, the rise of the sharing economy, and the convenience offered by digital platforms. The market size in 2025 is estimated at $150 billion, exhibiting a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This growth trajectory is fueled by several factors. Firstly, the increasing popularity of short-term rentals for leisure and business travel is significantly boosting demand. Secondly, technological advancements, including improved search functionalities, secure payment gateways, and enhanced user interfaces, are improving the overall user experience and driving platform adoption. Thirdly, the expansion of the market into emerging economies with a burgeoning middle class and increased internet penetration contributes to this impressive growth. However, regulatory challenges in various regions, concerns about property security, and the need for effective dispute resolution mechanisms pose some restraints. Segment-wise, apartments and villas represent the largest share of the market, particularly within the commercial application for short-term rentals. However, the growth of the hostel and B&B segments is particularly notable due to budget-conscious travelers and the popularity of experiential tourism. Key players such as Airbnb, Booking.com, and Zillow continue to dominate the market, though increased competition from regional players and innovative startups is anticipated. The Asia-Pacific region, particularly China and India, is experiencing the fastest growth, driven by rapid urbanization and a growing tourism sector. North America and Europe maintain significant market share due to established tourism infrastructure and strong consumer adoption. The forecast suggests continued expansion for the online home rental services market, with substantial growth opportunities for both established and emerging players.

  13. Airbnb nights and experiences booked worldwide 2017-2024

    • statista.com
    • ai-chatbox.pro
    Updated Jun 26, 2025
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    Statista (2025). Airbnb nights and experiences booked worldwide 2017-2024 [Dataset]. https://www.statista.com/statistics/1193532/airbnb-nights-experiences-booked-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Airbnb, a home sharing economy platform, gives users an alternative to traditional hotel accommodation by allowing them to rent accommodation from people who are willing to share their homes. The platform also allows consumers to book "experiences" in the regions they visit. In 2024, Airbnb reported over *** million booked nights and experiences. How much revenue does Airbnb make? In 2024, the total revenue of Airbnb worldwide increased by nearly ten percent over the previous year. This continued the upward trend which the company has experienced since recovering from the coronavirus (COVID-19) pandemic. ************* generated the highest share of Airbnb’s worldwide revenue in 2024, at **** billion U.S. dollars. How many people visit the Airbnb website? Airbnb ranked ***** among the most popular travel and tourism websites worldwide based on average monthly visits, behind *******************************. In 2024, airbnb.com saw its highest number of unique global visitors in March, at *** million. Meanwhile, Airbnb ranked fourth among leading travel apps globally, with over ** million downloads in 2024.

  14. V

    Vacation Rental Market Report

    • marketreportanalytics.com
    doc, pdf, ppt
    Updated Mar 14, 2025
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    Market Report Analytics (2025). Vacation Rental Market Report [Dataset]. https://www.marketreportanalytics.com/reports/vacation-rental-market-4083
    Explore at:
    ppt, pdf, docAvailable download formats
    Dataset updated
    Mar 14, 2025
    Dataset authored and provided by
    Market Report Analytics
    License

    https://www.marketreportanalytics.com/privacy-policyhttps://www.marketreportanalytics.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Europe
    Variables measured
    Market Size
    Description

    The vacation rental market, valued at $86.12 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 25.79% from 2025 to 2033. This surge is driven by several factors. The increasing popularity of experiential travel, coupled with a rising preference for flexible and personalized accommodations over traditional hotels, significantly fuels market expansion. Technological advancements, particularly in online booking platforms and property management software, streamline the booking process and enhance customer experience, further propelling growth. The rise of remote work also contributes, as individuals seek extended stays in vacation destinations, blurring the lines between work and leisure. Market segmentation reveals a significant split between online and offline bookings, with online platforms dominating due to their convenience and wider reach. Similarly, professionally managed properties are gaining traction over owner-managed ones, reflecting a growing demand for reliable service and consistent quality. Competition among major players like Airbnb, Booking Holdings, and Expedia Group is fierce, prompting ongoing innovation and strategic partnerships to attract and retain market share. However, certain restraints impact market growth. Economic fluctuations and global events can significantly affect travel patterns and consumer spending on leisure activities. Regulations concerning short-term rentals, varying across different regions and jurisdictions, pose challenges for operators. Maintaining property standards and ensuring guest safety remain critical operational concerns, requiring continuous investment in technology and service enhancements. The analysis of leading companies, their market positioning, and competitive strategies within the specified regions (Europe: UK, France, Italy, Spain) reveals a dynamic landscape shaped by innovative marketing, targeted customer acquisition, and diversification of offerings. Addressing these challenges strategically, while leveraging technological advancements and shifting consumer preferences, will be crucial for sustained success in this burgeoning market.

  15. d

    Airbnb data | 2021 Occupancy, Daily rate, active listings | Per country,...

    • datarade.ai
    .csv
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    Airbtics, Airbnb data | 2021 Occupancy, Daily rate, active listings | Per country, city, zipcode [Dataset]. https://datarade.ai/data-products/airbnb-data-2021-occupancy-daily-rate-active-listings-p-airbtics
    Explore at:
    .csvAvailable download formats
    Dataset authored and provided by
    Airbtics
    Area covered
    Belgium, France, Australia, Italy
    Description

    What makes your data unique? - We have our proprietary AI to clean outliers and to calculate occupancy rate accurately.

    How is the data generally sourced? - Web scraped data from Airbnb. Scraped on a weekly basis.

    What are the primary use-cases or verticals of this Data Product? - Tourism & DMO: A one-page CSV will give you a clear picture of the private lodging sector in your entire country. - Property Management: Understand your market to expand your business strategically. - Short-term rental investor: Identify profitable areas.

    Do you cover country X or city Y?

    We have data coverage from the entire world. Therefore, if you can't find the exact dataset you need, feel free to drop us a message. Our clients have bought datasets like 1) Airbnb data by US zipcode 2) Airbnb data by European cities 3) Airbnb data by African countries.

  16. o

    New Orleans Airbnb Host and Listing Data

    • opendatabay.com
    .undefined
    Updated Jul 4, 2025
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    Datasimple (2025). New Orleans Airbnb Host and Listing Data [Dataset]. https://www.opendatabay.com/data/ai-ml/28957f66-9d3b-4cf8-a030-91f9bc339a2d
    Explore at:
    .undefinedAvailable download formats
    Dataset updated
    Jul 4, 2025
    Dataset authored and provided by
    Datasimple
    Area covered
    Data Science and Analytics, New Orleans
    Description

    This dataset describes Airbnb homestay listing activity in New Orleans, Louisiana. Compiled on 7 November 2021, it is part of the Inside Airbnb initiative, which aims to quantify the impact of short-term rentals on housing and residential communities. The data includes listing details and reviews, with personally identifying information removed.

    It offers insights into the New Orleans short-term rental market, a city significantly impacted by Hurricane Katrina and subsequent redevelopment efforts, which have raised concerns about gentrification and resident displacement. The dataset allows users to explore fundamental questions about Airbnb's presence, such as the number of listings in a neighbourhood, how many properties are rented to tourists versus long-term residents, host earnings, and the prevalence of hosts operating multiple listings. It can also inform discussions around city and state legislation concerning residential housing, short-term rentals, and zoning.

    Columns

    • id: Airbnb's unique identifier for each listing.
    • name: The name given to the listing.
    • description: A detailed account of the listing.
    • neighborhood_overview: The host's description of the local area.
    • host_id: Airbnb's unique identifier for the host or user.
    • host_since: The date the host or user account was created. For hosts who also use Airbnb as guests, this may be their guest registration date.
    • host_location: The self-reported location of the host.
    • host_response_time: The average duration it takes for a host to reply to a message on the Airbnb platform.
    • host_response_rate: The percentage of messages a host responds to on the Airbnb platform.
    • host_acceptance_rate: The rate at which a host accepts booking requests.

    Distribution

    The dataset is provided in CSV format, including new_orleans_airbnb_listings.csv and reviews.csv. Specific total row or record counts are not available within the provided information.

    However, details on value distribution for certain columns are present: * host_id: 5,752 unique values. * host_location: 5,487 unique values, with 68% reporting 'New Orleans, Louisiana, United States', 12% from 'US', and 20% from 'Other'. * host_response_time: 61% of hosts respond 'within an hour', with 26% being null. * host_response_rate: 58% of hosts have a '100%' response rate, with 26% being null. * host_acceptance_rate: 28% of hosts have a '100%' acceptance rate, with 24% being null. * host_since dates range from 13 December 2008 to 20 October 2021.

    Usage

    This dataset is ideal for: * Predicting short-term rental charges in New Orleans based on location and amenities. * Describing the 'vibe' of each neighbourhood using listing descriptions, suitable for Natural Language Processing (NLP) tasks. * Identifying the most common amenities offered in short-term rental listings. * Determining factors that contribute to popular or highly-rated listings. * Analysing differences in favourability among different New Orleans neighbourhoods. * Exploratory Data Analysis (EDA) and Regression modelling. * Researching the impact of short-term rentals on housing affordability and community dynamics.

    Coverage

    The dataset focuses on New Orleans, Louisiana, United States. It covers a time range for host activity from 13 December 2008 to 20 October 2021, with the data compilation date being 7 November 2021. While not directly demographic, the context addresses concerns about gentrification and the displacement of longtime residents in the city.

    License

    CC-BY

    Who Can Use It

    • Data Scientists and Analysts: For data science projects, statistical analysis, machine learning model building, and deriving insights from listing and review data.
    • Urban Planners and Policy Makers: To understand the spread of short-term rentals, their impact on local housing markets, and to inform regulations and zoning decisions.
    • Researchers and Activists: Studying the socio-economic effects of tourism and short-term rentals on urban communities, particularly concerning housing and gentrification.
    • Real Estate Professionals: To gain market intelligence on short-term rental trends, pricing, and amenities in New Orleans.
    • Hospitality Industry Stakeholders: To analyse competition and market demand in the New Orleans accommodation sector.

    Dataset Name Suggestions

    • New Orleans Airbnb Listings and Reviews
    • New Orleans Airbnb Host and Listing Data
    • NOLA Airbnb Activity Dataset
    • Inside Airbnb New Orleans
    • New Orleans Short-Term Rental Analysis Data

    Attributes

    Original Data Source: New Orleans Airbnb Listings and Reviews

  17. Exploring Airbnb Market Trends

    • kaggle.com
    Updated Sep 27, 2024
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    Abdelaziz Sami (2024). Exploring Airbnb Market Trends [Dataset]. https://www.kaggle.com/datasets/abdelazizsami/exploring-airbnb-market-trends/code
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 27, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Abdelaziz Sami
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Dataset

    This dataset was created by Abdelaziz Sami

    Released under Apache 2.0

    Contents

  18. Vacation Rental Market Analysis Europe, North America, APAC, Middle East and...

    • technavio.com
    Updated Dec 31, 2024
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    Technavio (2024). Vacation Rental Market Analysis Europe, North America, APAC, Middle East and Africa, South America - US, UK, France, Italy, Canada, China, India, Saudi Arabia, Japan, Brazil - Size and Forecast 2025-2029 [Dataset]. https://www.technavio.com/report/vacation-rental-market-industry-size-analysis
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    Dataset updated
    Dec 31, 2024
    Dataset provided by
    TechNavio
    Authors
    Technavio
    Time period covered
    2021 - 2025
    Area covered
    Global
    Description

    Snapshot img

    Vacation Rental Market Size 2025-2029

    The vacation rental market size is estimated to increase by USD 22 billion, growing at a CAGR of 4.1% between 2024 and 2029. The industry's expansion and the rising popularity of short-term vacation rentals are driving substantial market growth. The vacation rental market is experiencing significant growth, driven by the expanding tourism industry and the increasing preference for short-term stays in vacation rental properties. This trend is further fueled by the convenience of instant booking features, which allow travelers to secure their accommodations with ease. However, the market also faces challenges, including the risks associated with fraudulent vacation rental listings. These risks can lead to financial losses and safety concerns for travelers, making it crucial for market participants to prioritize security measures and transparency. Overall, the vacation rental market is poised for continued growth, with opportunities for innovation and improvement in areas such as customer experience, safety, and technology integration. The market's future looks promising, with opportunities for innovation in cultural tourism and enhancements in areas like customer experience, safety, and technology integration.

    What will be the size of Market during the Forecast Period?

    Request Free Vacation Rental Market Sample

    Market Segmentation

    The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019 - 2023 for the following segments.

    Management
    
      Managed by owners
      Professionally managed
    
    
    Method
    
      Offline
      Online
    
    
    Type
    
      Home
      Apartments
      Resort/Condominium
      Others
    
    
    Geography
    
      Europe
    
        UK
        France
        Italy
    
    
      North America
    
        Canada
        US
    
    
      APAC
    
        China
        India
        Japan
    
    
      Middle East and Africa
    
        South Africa
    
    
      South America
    
        Brazil
    

    Which is the largest segment driving market growth?

    The managed by owners segment is estimated to witness significant growth during the forecast period. Vacation rentals have emerged as a significant segment in the tourism industry, with B2C enterprises facilitating bookings through various sales channels. According to industry associations and third-party studies, vacation rentals account for a substantial portion of consumer spending on accommodation and features such as spas, with tourism spending projected to increase due to rising internet and device penetration. Forecasting techniques, such as time series forecasts and stationarity of data analysis, are used to estimate short-term trends in the vacation rental market.

    Get a glance at the market share of various regions. Download the PDF Sample

    The managed by owners segment accounted for USD 48.5 billion in 2019 and showed a gradual increase during the forecast period. These estimates consider factors like rental homes in the accommodation segment, resorts segment, and booking modes, including offline and online. Market players invest in acquisitions and mergers to expand their offerings, with trends favoring short-term rentals and eco-friendly vacation rentals. Statistical offices and trade associations provide price indices to help owners set rental rates based on local market conditions, ensuring flexibility and competitiveness. Consumer preferences for privacy, space, and flexibility continue to drive demand for vacation rentals in the travel industry.

    The vacation rental market has grown significantly with the rise of short-term rentals and vacation homes, supported by online booking platforms and property management solutions. Luxury vacation rentals cater to high-end travelers seeking unique travel experiences. HomeAway and Airbnb alternatives have expanded options for tourists, while local tourism benefits from the convenience of digital travel solutions. These trends are shaping the future of the vacation rental market, driving growth and innovation.

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    Europe is estimated to contribute 32% to the growth of the global market during the market forecast period. Technavio's analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.

    The European vacation rental market is experiencing significant growth due to the rising travel trend and the preference for unique experiences over traditional accommodations. Travelers seek more personalized and cost-effective options, leading to the increasing popularity of vacation rentals such as hostels and camping sites. Ancient ruins and historical sites add to Europe's allure, making vacation rentals an attractive choice for tourists. However, the availability of properties and restrictions on ren

  19. V

    Vacation Rental Website Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Jun 10, 2025
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    Data Insights Market (2025). Vacation Rental Website Report [Dataset]. https://www.datainsightsmarket.com/reports/vacation-rental-website-1389334
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    ppt, pdf, docAvailable download formats
    Dataset updated
    Jun 10, 2025
    Dataset authored and provided by
    Data Insights Market
    License

    https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy

    Time period covered
    2025 - 2033
    Area covered
    Global
    Variables measured
    Market Size
    Description

    The vacation rental website market is experiencing robust growth, driven by increasing demand for unique travel experiences and the flexibility offered by vacation rentals compared to traditional hotels. The rise of remote work and the increasing popularity of multi-generational travel are further fueling this expansion. While the exact market size for 2025 is unavailable, considering a plausible CAGR of 15% (a conservative estimate given industry trends) and a hypothetical 2019 market size of $50 billion, the 2025 market size could be estimated at approximately $90 billion. This substantial valuation reflects the market's maturity and the significant investment from major players like Airbnb, Booking Holdings, and Expedia Group, who are continuously innovating to enhance user experiences and broaden their offerings. The competitive landscape is highly fragmented, with both established giants and smaller niche players vying for market share. This competition drives innovation in areas such as dynamic pricing, property management software, and enhanced guest communication tools. Technological advancements, like improved search functionalities, virtual tours, and AI-powered recommendations, are key drivers of growth. However, challenges such as regulatory hurdles in various jurisdictions, concerns around property safety and guest security, and the impact of economic downturns pose potential restraints on future growth. Segmentation within the market includes various property types (apartments, villas, houses), target demographics (families, couples, groups), and booking platforms (direct booking websites, online travel agencies). Future growth will likely depend on effective addressal of these restraints, ongoing technological development, and the continued expansion into emerging markets. The forecast period (2025-2033) promises sustained expansion, with the CAGR likely to remain in the double digits, reflecting continued digitalization and a preference for personalized travel options. Specific regional growth will vary depending on factors such as tourism infrastructure, economic conditions, and regulatory environments. Key players will need to focus on strategic acquisitions, technological innovation, and effective marketing to maintain competitiveness and capture market share in this dynamic and rapidly growing sector. Success will hinge on leveraging data analytics to improve operational efficiency, personalization of services, and the proactive management of risk associated with security and regulatory compliance.

  20. airbnb price

    • kaggle.com
    zip
    Updated Dec 23, 2019
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    Si Zhu (2019). airbnb price [Dataset]. https://www.kaggle.com/juicewin/airbnb-price
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    zip(466176 bytes)Available download formats
    Dataset updated
    Dec 23, 2019
    Authors
    Si Zhu
    Description

    Dataset

    This dataset was created by Si Zhu

    Contents

Share
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Business of Apps (2020). Airbnb Revenue and Usage Statistics (2025) [Dataset]. https://www.businessofapps.com/data/airbnb-statistics/

Airbnb Revenue and Usage Statistics (2025)

Explore at:
37 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Aug 25, 2020
Dataset authored and provided by
Business of Apps
License

Attribution-NonCommercial-NoDerivs 4.0 (CC BY-NC-ND 4.0)https://creativecommons.org/licenses/by-nc-nd/4.0/
License information was derived automatically

Description

In 2007, a cash-strapped Brian Chesky came up with a shrewd way to pay his $1,200 San Francisco apartment rent. He would offer “Air bed and breakfast”, which consisted of three airbeds,...

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