Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
This is the complete breakdown of how much revenue Airbnb makes in commission from listings in each region.
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
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,...
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.
According to 2023 estimates, Booking Holdings' global revenue was evenly split between mobile and desktop bookings. As estimated, the online travel agency (OTA) generated revenue of roughly 10.8 billion U.S. dollars through mobile devices and 10.5 billion U.S. dollars via desktop bookings. In contrast, it was estimated that most of the Expedia Group and Airbnb's revenue came from desktop users that year. What are the most visited travel and tourism websites? In January 2024, booking.com topped the ranking of the most visited travel and tourism websites worldwide, ahead of tripadvisor.com and airbnb.com. When breaking down the visits to booking.com by country that month, the United States emerged as the leading market, followed by the United Kingdom and Germany. What are the most popular online travel agency apps worldwide? In 2024, Airbnb, Booking.com, and Expedia were among the most downloaded online travel agency apps worldwide. Booking.com is one of the leading brands of Booking Holdings, along with Priceline, Agoda, and Kayak. Meanwhile, Expedia is among the most popular brands of the Expedia Group, together with Vrbo, Hotels.com, and Trivago.
Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
License information was derived automatically
The Airbnb Accommodation Booking Data Warehouse (2020-2024) is a dataset for business intelligence, and it has a dimensional model comprising four dimension tables and one fact table.
The Dim_Date table provides detailed date information from 2020 to 2024, including day, month, quarter, and weekday details for time-based analysis. The Dim_Host table captures information about property hosts, such as superhost status, total listings, and response times. Dim_Property contains details of accommodations, including location, property type, room type, number of rooms, and pricing. Dim_Customer includes customer demographics such as age group, gender, nationality, and customer segment.
The central Fact_Bookings table records booking transactions, including revenue, nights booked, guests, and fees. Each booking links to specific hosts, customers, properties, and dates through foreign keys.
The dataset supports multi-year analysis of booking trends, revenue performance, customer behaviour, and host activity. It enables insights into seasonal patterns, location performance, and customer segmentation, allowing for strategic decisions in pricing, marketing, and operational planning.
According to data from Airbtics.com, international guests staying at Airbnbs in France reached a 13-month low of ** percent of total travel as of May 2020, compared to **** percent in May 2019. The rate of international guests started to decrease in April 2020, as the COVID-19 outbreak restricted travel into the country.
This statistic depicts the total number of Airbnb guest arrivals worldwide from 2016 to 2018. The total number of people residing in an Airbnb accommodation is forcast to amount to approximately ***** million in 2018, up from *** million the previous year.
According to data from Airbtics.com, the share of international Airbnb guests in Mexico slightly surpassed domestic travelers in May 2020. In April, local tourists accounted for over half of the guests that used the popular online lodging platform, overturning the trend registered in previous months. From ************* to **********, the country registered the highest shares of domestic Airbnb guests, with figures above ** to nearly ** percent. In 2019, domestic spending accounted for ** percent of total spending on travel and tourism in Mexico.
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...
https://bullfincher.io/privacy-policyhttps://bullfincher.io/privacy-policy
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.
In March 2024, over *** million unique global visitors visited Airbnb.com, up from **** million visitors in October 2023. Airbnb is an online marketplace for short-term holiday and travel rentals.
In the United Kingdom (UK) Airbnb had over *** thousand active listings in 2018. From July 2017 to July 2018 such Airbnb hosts welcomed a total of *** million guests into their accommodation. UK users of Airbnb outweighed the number of inbound guests, with **** million guests from the UK renting Airbnb properties in the UK and elsewhere.
What is Airbnb?
Airbnb is an online accommodation portal that allows hosts to list their properties for short term rental. The company was founded in San Francisco in 2008 by two entrepreneurs who came up with the idea when looking for ways to meet their high rental costs. Travelers like using Airbnb as it offers a cheaper alternative to hotels and gives them a more authentic experience. The company was valued at ** billion U.S dollars in 2018.
Airbnb in London
London is one the most popular cities in the world for Airbnb use: London had the highest number of Airbnb guest arrivals in Europe as of 2017, which is unsurprising considering it is one of the most visited tourist cities in the world. Compared to the rest of the UK, just over a third of active Airbnb listings were in London. The growth of Airbnb in London however was not without its problems. Like other cities, councils and communities raised concerns regarding the impact on the local housing supply and having control over who is living in the rentals. This led the Greater London Council to apply a 90-day limit on listings for entire homes in one year.
In Europe, the direct economic impact of Airbnb in 2018 was highest in France; There host earnings and guest spending was estimated to have contributed 10.8 billion U.S. dollars to the French economy. Airbnb hosts and guests in Spain and Italy had the next biggest impact, generating 6.9 billion and 6.4 billion U.S. dollars respectively.
https://www.datainsightsmarket.com/privacy-policyhttps://www.datainsightsmarket.com/privacy-policy
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.
According to data from Airbtics.com, international Airbnb guests in California reached a 13-month low in May 2020, with only *** percent of guests coming from abroad. Comparatively, in May 2019, **** percent of Airbnb guests in California came from outside of the United States. This decrease in international guests began as travel restrictions due to the coronavirus (COVID-19) pandemic were implemented across the globe.
See the average Airbnb revenue & other vacation rental data in Paris in 2025 by property type & size, powered by Airbtics. Find top locations for investing.
Open Government Licence 3.0http://www.nationalarchives.gov.uk/doc/open-government-licence/version/3/
License information was derived automatically
The number of guest nights, nights, and stays for short-term lets offered through online collaborative economy platforms (Airbnb, Booking.com and Expedia Group).
According to Airbtics.com, domestic travelers accounted for **** percent of Airbnb guests in Brazil in May 2020. In the previous month, when the COVID-19 pandemic was spreading rapidly in the country, the share of local Airbnb guests reached its highest since May 2019, with **** percent. On the other hand, March 2020 was the month that registered the largest share of international Airbnb guests in Brazil, with **** percent. In 2019, domestic tourism spending accounted for over ** percent of total tourism spending in Brazil.
https://datastringconsulting.com/privacy-policyhttps://datastringconsulting.com/privacy-policy
Report Attribute/Metric | Details |
---|---|
Market Value in 2025 | USD 6.1 billion |
Revenue Forecast in 2034 | USD 10.4 billion |
Growth Rate | CAGR of 6.2% from 2025 to 2034 |
Base Year for Estimation | 2024 |
Industry Revenue 2024 | 5.7 billion |
Growth Opportunity | USD 4.7 billion |
Historical Data | 2019 - 2023 |
Forecast Period | 2025 - 2034 |
Market Size Units | Market Revenue in USD billion and Industry Statistics |
Market Size 2024 | 5.7 billion USD |
Market Size 2027 | 6.8 billion USD |
Market Size 2029 | 7.7 billion USD |
Market Size 2030 | 8.2 billion USD |
Market Size 2034 | 10.4 billion USD |
Market Size 2035 | 11.0 billion USD |
Report Coverage | Market Size for past 5 years and forecast for future 10 years, Competitive Analysis & Company Market Share, Strategic Insights & trends |
Segments Covered | Property Type, Pricing Tier, Length of Stay, User Demographics |
Regional Scope | North America, Europe, Asia Pacific, Latin America and Middle East & Africa |
Country Scope | U.S., Canada, Mexico, UK, Germany, France, Italy, Spain, China, India, Japan, South Korea, Brazil, Mexico, Argentina, Saudi Arabia, UAE and South Africa |
Top 5 Major Countries and Expected CAGR Forecast | U.S., France, Italy, Spain, UK - Expected CAGR 4.0% - 6.0% (2025 - 2034) |
Top 3 Emerging Countries and Expected Forecast | Vietnam, Morocco, Colombia - Expected Forecast CAGR 7.1% - 8.6% (2025 - 2034) |
Top 2 Opportunistic Market Segments | Estates and Penthouses Property Type |
Top 2 Industry Transitions | Digitalization Amplifies Customer Experience, Rise of Eco-Luxury Rentals |
Companies Profiled | Airbnb Luxe, Booking.com, Expedia, Villas of Distinction, Luxury Retreats, HomeAway, Vacasa, Turnkey Vacation Rentals, James Villa Holidays, Zillow, Vrbo and RedAwning |
Customization | Free customization at segment, region, or country scope and direct contact with report analyst team for 10 to 20 working hours for any additional niche requirement (10% of report value) |
Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically
The majority of guests on Airbnb are women. Most Airbnb guests are aged 25 to 34.