100+ datasets found
  1. s

    Airbnb Guest Demographic Statistics

    • searchlogistics.com
    Updated Mar 17, 2025
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    (2025). Airbnb Guest Demographic Statistics [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 majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.

  2. 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,...

  3. 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.

  4. Airbnb users by age group in the U.S. and Europe 2017

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Airbnb users by age group in the U.S. and Europe 2017 [Dataset]. https://www.statista.com/statistics/796646/airbnb-users-by-age-us-europe/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Europe, United States
    Description

    In 2017, the majority of Airbnb users in the United States and Europe were between the ages ** to **. People in older age groups generally made up a smaller share of Airbnb users. Only **** percent of Airbnb users were aged 65 or older - indicating that Airbnb is more popular among younger users. Airbnb popularity The accommodation rental and sharing website Airbnb is gaining popularity all over the world. This can most likely be attributed to the company allowing for cheaper accommodation alternatives and a more personal experience of a location. In 2018, there were forecast be around ***** million Airbnb guest arrivals worldwide – and the average number of guests per listing was **. A survey found that ** percent of European and American Airbnb users were ‘very satisfied’ with their experience. On the other hand, *** percent stated that they were ‘somewhat dissatisfied’ or ‘not at all satisfied’ with using the accommodation sharing platform. Why not use Airbnb? Despite the large amount of people being satisfied with their Airbnb experience, there still remain people in Europe and the U.S. that do not want to use their service. A survey found that the most common reason for people not to use Airbnb was privacy concerns – with ** percent of the respondents expressing this concern.

  5. Number of Airbnb listings in selected U.S. cities 2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Number of Airbnb listings in selected U.S. cities 2024 [Dataset]. https://www.statista.com/statistics/1339477/number-airbnb-listings-selected-cities-us/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    United States
    Description

    New York City accounted for ****** Airbnb listings in late 2024. Meanwhile, Los Angeles had ****** listings, making it the city with the most Airbnb listings in the ranking.

  6. Number of Airbnb users in the U.S. 2016-2022

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Number of Airbnb users in the U.S. 2016-2022 [Dataset]. https://www.statista.com/statistics/346589/number-of-us-airbnb-users/
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2018
    Area covered
    United States
    Description

    In 2017, the number of adults using Airbnb in the United States amounted to **** million, up from ** million the previous year. This figure is forecast to reach **** million by 2022. Why do people use Airbnb? The privately owned accommodation, rental and sharing website Airbnb has gained popularity all over the world. This is due to multiple factors including cheaper lodging alternatives, a more authentic experience, uniqueness of accommodation and more. A survey found that ** percent of U.S.-based & European Airbnb users were ‘very satisfied’ with their experience. On the other hand,**** percent stated that they were ‘somewhat dissatisfied’ or ‘not at all satisfied’ with using the accommodation sharing platform. Why don't people use Airbnb? Despite the large number of people who are satisfied with their Airbnb experience, there still remain those in Europe and the U.S. that do not want to use the company's services. The most common reason for people not to use Airbnb is privacy concerns, according to a 2017 survey – with ** percent of respondents expressing this fear.

  7. Airbnb Datasets

    • brightdata.com
    .json, .csv, .xlsx
    Updated Jan 11, 2023
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    Bright Data (2023). Airbnb Datasets [Dataset]. https://brightdata.com/products/datasets/airbnb
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Jan 11, 2023
    Dataset authored and provided by
    Bright Datahttps://brightdata.com/
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Leverage our Airbnb dataset to gain comprehensive insights into global short-term rental markets. Track property details, pricing trends, reviews, availability, and amenities to optimize pricing strategies, conduct market research, or enhance travel-related applications. Data points may include listing ID, host ID, property type, price, number of reviews, ratings, availability, and more. The dataset is available as a full dataset or a customized subset tailored to your specific needs.

  8. Number of Airbnb listings in selected Italian cities 2025

    • statista.com
    Updated Sep 10, 2025
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    Statista (2025). Number of Airbnb listings in selected Italian cities 2025 [Dataset]. https://www.statista.com/statistics/1084927/number-of-airbnb-listings-in-selected-italian-cities/
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    Dataset updated
    Sep 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 2025
    Area covered
    Italy
    Description

    According to a June 2025 analysis, Rome reported the highest number of Airbnb listings among the selected Italian cities. As of that month, there were over ****** establishments listed on Airbnb in the Italian capital. Milan and Florence followed behind, with over ****** and almost ****** listings on Airbnb. What are the leading brands for accommodation bookings in Italy? According to the Statista Consumer Insights Global survey, Airbnb was the second most popular brand for hotel and private accommodation online bookings in Italy in 2025, with over ********* of respondents having booked accommodation via that website. That year, Booking.com topped the ranking, with almost ************** of the sample reporting using that provider. Booking Holdings vs. Airbnb Booking Holdings, which operates the Booking.com brand, and Airbnb are among the biggest companies in the online travel market. In 2025, Booking Holdings had the highest market cap of the leading online travel companies worldwide, while Airbnb ranked second. Both companies experienced an annual increase in earnings in 2024. That year, Booking Holdings' revenue peaked at almost ** billion U.S. dollars. Meanwhile, Airbnb's revenue also reached an all-time high in 2024.

  9. Airbnb revenue 2017-2024

    • statista.com
    • abripper.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.

  10. b

    Airbnb Overview

    • bullfincher.io
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    Bullfincher, Airbnb Overview [Dataset]. https://bullfincher.io/companies/airbnb/overview
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    Dataset authored and provided by
    Bullfincher
    License

    https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy

    Description

    Airbnb, Inc., together with its subsidiaries, operates a platform that enables hosts to offer stays and experiences to guests worldwide. The company's marketplace model connects hosts and guests online or through mobile devices to book spaces and experiences. It primarily offers private rooms, primary homes, or vacation homes. The company was formerly known as AirBed & Breakfast, Inc. and changed its name to Airbnb, Inc. in November 2010. Airbnb, Inc. was founded in 2007 and is headquartered in San Francisco, California.

  11. d

    Europe Travel Data | Airbnb vs. Hotels Sentiment & Spend | Accommodation...

    • datarade.ai
    .json, .csv, .xls
    Updated Aug 21, 2025
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    Rwazi (2025). Europe Travel Data | Airbnb vs. Hotels Sentiment & Spend | Accommodation Choice, Value, Authenticity, and Price Sensitivity | 20+ Demographic KPIs [Dataset]. https://datarade.ai/data-products/europe-travel-data-airbnb-vs-hotels-sentiment-spend-ac-rwazi
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    .json, .csv, .xlsAvailable download formats
    Dataset updated
    Aug 21, 2025
    Dataset authored and provided by
    Rwazi
    Area covered
    Congo, Bolivia (Plurinational State of), Sint Eustatius and Saba, Ukraine, Saint Kitts and Nevis, Martinique, Malawi, Haiti, Namibia, Panama, Europe
    Description

    This data provides a detailed window into how travelers across Europe are making choices between Airbnb, boutique hotels, and chain hotels, and how those choices are influenced by perceived value, authenticity, and price sensitivity. It spans major tourism markets such as Paris, Barcelona, Rome, Berlin, Amsterdam, Vienna, Prague, Lisbon, Athens, and Dubrovnik, while layering in demographic details including age, income, and household type. By capturing these sentiment drivers alongside actual accommodation choice percentages, the data goes beyond occupancy statistics or market reports and instead reveals the deeper psychology of why travelers choose where to stay.

    At its heart, the data measures the trade-offs travelers make. Some value price above all else, seeking the cheapest option and showing high sensitivity to even small changes in nightly rates. Others prioritize authenticity, looking for cultural immersion, unique architecture, or a connection to the community, a sentiment often tied to boutique hotels or Airbnb stays. Still others rate perceived value, balancing comfort, service, and cost in ways that may lean toward chain hotels where consistency and loyalty programs come into play. By quantifying these three sentiment drivers alongside accommodation choice, the data enables a holistic view of the European hospitality landscape that is not just descriptive but predictive.

    For hotel operators, this data provides granular competitive intelligence. A chain hotel executive in Berlin can see not only how many travelers are opting for chain hotels versus Airbnb or boutiques, but also the sentiment scores that drive those choices. If authenticity consistently scores low for chain hotels, it suggests a strategic opening to localize offerings, integrate cultural experiences, or adjust marketing. Boutique hotel managers in Lisbon can benchmark how their authenticity score compares to Airbnb in the same city, providing evidence for whether they should double down on differentiation or compete more aggressively on price. Airbnb hosts and platform managers can assess whether travelers in cities like Athens or Dubrovnik are primarily choosing Airbnb for price sensitivity or for perceived authenticity, and then adjust host guidelines and search rankings to align with those motivations.

    Tourism boards and city governments can use this data to shape destination strategies. In cities where authenticity is highly valued, they may promote cultural experiences and boutique stays that highlight heritage and local life. In cities where price sensitivity dominates, they may anticipate pressure on affordability and design policies to balance visitor demand with resident quality of life. Tracking sentiment alongside accommodation choice allows policymakers to see whether interventions such as limiting Airbnb licenses or incentivizing boutique hotels are having the intended effect.

    For travel agencies and online booking platforms, this data provides immediate commercial value by informing recommendation algorithms. If Millennials traveling to Barcelona are shown to favor Airbnb due to high authenticity scores, platforms can tailor recommendations to match those preferences and increase conversion rates. If Boomers traveling to Vienna demonstrate high perceived value scores for chain hotels, agencies can design targeted campaigns that emphasize comfort, service, and reliability. By embedding demographic segmentation, the data enables personalization that goes beyond generic marketing and aligns with actual consumer psychology.

    Investors and financial analysts also gain critical foresight from this data. The growth of Airbnb has often been framed in broad, disruptive terms, but this data dissects the nuance of where Airbnb’s advantage comes from and how strong it is in different markets. In Amsterdam, for example, Airbnb may dominate with authenticity but show weaker perceived value compared to boutique hotels. In Prague, chain hotels may hold firm due to loyalty programs and price competitiveness. Understanding these dynamics city by city allows investors to make sharper decisions about where to allocate capital, which hotel groups are most resilient, and where regulatory risks may matter most.

    Marketing agencies and brand strategists can mine the sentiment scores for creative direction. A boutique hotel in Lisbon may craft campaigns around the theme of authenticity if the data shows that is the strongest differentiator for their target demographic. A chain hotel group in Rome might emphasize value and consistency if those resonate more strongly with middle-income families. Airbnb itself can use the data to position its brand differently across cities, leaning into affordability in one market and cultural immersion in another. The combination of quantitative percentages and sentiment scores creates a bridge between analytics and storytelling, enabling brands to market with evidence rather than assumption.

    The demo...

  12. Number of Airbnb listings in selected European cities 2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Number of Airbnb listings in selected European cities 2024 [Dataset]. https://www.statista.com/statistics/815145/airbnb-listings-in-europe-by-city/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Dec 2024
    Area covered
    Europe
    Description

    As of December, 2024, there were over ** thousand listings for room and apartment rentals in London on the Airbnb website, the highest of any other major European city. Airbnb listings were also high in Paris, Rome and Madrid. Paris accounted for around ** thousand listings, while Rome and Madrid had over ** and ** thousand, respectively. Controversy of Airbnb in Europe Airbnb has become an increasingly popular option for tourists looking for local accommodation. Visitors are attracted to using Airbnb properties instead of hotels and other traditional travel accommodation mainly due to cheaper prices, but also for the location, and to gain an authentic experience. However, the site is facing ongoing legal problems, with some destinations moving to ban or restrict rentals from the site because they worsen housing problems and undermining hotel regulations. Many European cities, including Amsterdam and Paris, have placed limits on the length of rentals, and others such as Barcelona have introduced strict regulations for hosts. The rise of Airbnb Airbnb is one of the most successful companies in the global sharing economy. The company was founded in San Francisco, California in 2008, after being conceived by two entrepreneurs looking for a way to offset their high rental costs. Airbnb was developed as an online platform for hosts to rent out their properties on a short-term basis. It now competes with other online travel booking websites, including Booking.com and Expedia.

  13. Airbnb revenue 2019-2024, by region

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Airbnb revenue 2019-2024, by region [Dataset]. https://www.statista.com/statistics/1193565/airbnb-revenue-by-region-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    ************* was the region that brought in the highest amount of Airbnb’s worldwide revenue in 2024, at ************ U.S. dollars. As the company is based in the United States, this is not surprising. However, the Europe, Middle East, and Africa (EMEA) region was not too far behind with *********** U.S. dollars in revenue.************** also reported the highest average number of nights booked by region with Airbnb in 2024.

  14. Number of Airbnb room listings in Singapore 2023, by room type

    • barnesnoapp.net
    • statista.com
    Updated Aug 6, 2025
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    R. Hirschmann (2025). Number of Airbnb room listings in Singapore 2023, by room type [Dataset]. https://barnesnoapp.net/?_=%2Ftopics%2F10870%2Faccommodation-in-singapore%2F%232Ccyy9CUZOrS9FQkYrQwn9kgMtqNzSSo
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    Dataset updated
    Aug 6, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    R. Hirschmann
    Area covered
    Singapore
    Description

    As of April 2023, the highest number of Airbnb room listings in Singapore were private rooms. That month, this type of accommodation accounted for more than 1.5 thousand listings. Meanwhile, there were 125 shared rooms in Singapore listed on the Airbnb website.

  15. Airbnb nights and experiences booked 2019-2024, by region

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Airbnb nights and experiences booked 2019-2024, by region [Dataset]. https://www.statista.com/statistics/1193543/airbnb-nights-experiences-by-region-worldwide/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    The region with the most nights and experiences booked with Airbnb worldwide in 2024 was Europe, the Middle East, and Africa (or EMEA). That year, the EMEA region reported *** million bookings. Asia Pacific had the lowest number of bookings at ** million. The Asia Pacific region also had the lowest average number of nights per Airbnb booking in 2024.

  16. Number of Airbnb listings in selected cities in the UK 2024

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Number of Airbnb listings in selected cities in the UK 2024 [Dataset]. https://www.statista.com/statistics/1425134/airbnb-listings-in-uk-by-city/
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    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    London continued to dominate the Airbnb market in the United Kingdom, with over ****** listings as of December 2024. This figure was by far the highest among other major UK cities, with Greater Manchester and Edinburgh trailing behind at ***** and ***** listings, respectively. The stark contrast highlighted London's position as a prime destination for short-term rentals and its appeal to both domestic and international travelers. Accommodation preferences across cities in Europe As of December 2024, the most common type of Airbnb listings in London were for entire homes or apartments, accounting for nearly two thirds of the total. Meanwhile hotel rooms represented a mere *** percent of listings. This trend was mirrored in other European cities, with Berlin and Vienna also showing a preference for entire home listings. The most common types of Airbnb listings in Berlin, featured nearly two-thirds of the approximately ****** listings being for entire homes, while the most common types of listings in Vienna boasted almost ****** entire home listings out of a total of around ******. How do London’s Airbnb listings compare to other major European cities? In a broader context, London remained the leader in total Airbnb listings per city in Europe in 2024, boasting over ***** more listings than Paris, which came in second place. However, when considering listings per capita in Europe, Paris emerged as the frontrunner with approximately ** listings per 1,000 inhabitants in 2024. This high density of short-term rentals led to increasing scrutiny and regulation across European cities.

  17. O

    Online Booking Service Report

    • datainsightsmarket.com
    doc, pdf, ppt
    Updated Aug 1, 2025
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    Data Insights Market (2025). Online Booking Service Report [Dataset]. https://www.datainsightsmarket.com/reports/online-booking-service-1462762
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    ppt, doc, pdfAvailable download formats
    Dataset updated
    Aug 1, 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 online travel booking market, encompassing flight, hotel, and vacation rental reservations, is a dynamic and rapidly expanding sector. While precise figures for market size and CAGR were not provided, leveraging publicly available data and industry reports, we can estimate a 2025 market value of approximately $800 billion USD. This substantial valuation reflects the increasing preference for digital convenience in travel planning. The market's growth is fueled by several key drivers: the rising adoption of smartphones and mobile booking apps, the increasing affordability of international travel, a growing middle class in developing economies, and the continuous innovation in travel technology, offering personalized experiences and competitive pricing. Emerging trends include the integration of artificial intelligence for enhanced customer service and personalized recommendations, the rise of sustainable and responsible tourism impacting booking choices, and the increasing popularity of niche travel experiences. Restraints on market growth include economic downturns impacting discretionary spending, cybersecurity concerns related to online transactions, and the potential for regulatory changes impacting the industry. The market is segmented by booking type (flights, hotels, packages), customer demographics, and geographic region. Key players like Expedia, Booking Holdings, Airbnb, and MakeMyTrip are continually vying for market share through strategic partnerships, acquisitions, and technological advancements. The forecast period from 2025 to 2033 anticipates sustained growth in the online travel booking market, driven by the ongoing digital transformation in the travel industry. We estimate a compound annual growth rate (CAGR) of approximately 8% during this period. This growth is expected to be influenced by an increasing preference for mobile booking, further penetration in emerging markets, and the rise of innovative booking platforms catering to a wider range of traveler needs. However, potential challenges like geopolitical instability, fluctuating currency exchange rates, and unexpected events (like pandemics) could impact growth trajectories. Competition among established players and the emergence of new disruptive technologies will continue to shape the market landscape in the coming years. Strategic investments in technology, customer loyalty programs, and expanding partnerships will be crucial for companies to maintain a competitive edge in this ever-evolving market.

  18. P

    Philippines Google Search Trends: Travel & Accommodations: Airbnb

    • ceicdata.com
    Updated Mar 19, 2025
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    CEICdata.com (2025). Philippines Google Search Trends: Travel & Accommodations: Airbnb [Dataset]. https://www.ceicdata.com/en/philippines/google-search-trends-by-categories/google-search-trends-travel--accommodations-airbnb
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    Dataset updated
    Mar 19, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Mar 8, 2025 - Mar 19, 2025
    Area covered
    Philippines
    Description

    Philippines Google Search Trends: Travel & Accommodations: Airbnb data was reported at 20.000 Score in 14 May 2025. This records an increase from the previous number of 15.000 Score for 13 May 2025. Philippines Google Search Trends: Travel & Accommodations: Airbnb data is updated daily, averaging 16.000 Score from Dec 2021 (Median) to 14 May 2025, with 1261 observations. The data reached an all-time high of 26.000 Score in 28 Mar 2023 and a record low of 0.000 Score in 05 Apr 2022. Philippines Google Search Trends: Travel & Accommodations: Airbnb data remains active status in CEIC and is reported by Google Trends. The data is categorized under Global Database’s Philippines – Table PH.Google.GT: Google Search Trends: by Categories.

  19. Airbnb revenue distribution 2019-2024, by region

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Airbnb revenue distribution 2019-2024, by region [Dataset]. https://www.statista.com/statistics/1193586/airbnb-revenue-regional-distribution-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. In 2024, ************* earned the largest regional share of Airbnb's revenue at ** percent. Meanwhile, the Europe and the Middle East and Africa (EMEA) region ranked second at ** percent.

  20. Number of Airbnb listings in Berlin 2025, by room type

    • statista.com
    Updated Nov 4, 2022
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    Statista (2022). Number of Airbnb listings in Berlin 2025, by room type [Dataset]. https://www.statista.com/statistics/1480925/airbnb-listings-berlin-room-type/
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    Dataset updated
    Nov 4, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jun 3, 2025
    Area covered
    Germany, Berlin
    Description

    In June 2025, the total number of Airbnb listings in Berlin was slightly below ******. While entire homes and apartments accounted for the majority of the total, hotel rooms represented just *** listings on Airbnb.

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(2025). Airbnb Guest Demographic Statistics [Dataset]. https://www.searchlogistics.com/learn/statistics/airbnb-statistics/

Airbnb Guest Demographic Statistics

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13 scholarly articles cite this dataset (View in Google Scholar)
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 majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.

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