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,...

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

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

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.

This statistic shows the growth of active Airbnb units in the leading U.S. Airbnb markets in 2015. The number of active Airbnb units increased by 296 percent in Richmond in 2015 over 2014.

According to data provided by Airbtics.com, Airbnb bookings in Osaka declined by almost ** percent in the week of August 23, 2020 compared to the same period in the previous year. The annual growth rate in Airbnb bookings processed in 2020 shrank significantly from February onwards due to the gradual enforcement of travel restrictions amid the global coronavirus (COVID-19) pandemic.

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According to data from Airbtics, the Airbnb bookings in Beijing had a year-on-year growth of **** percent on the week of January 5, 2020. However, it swiftly plunged to *** percent of the same period in the previous year on the week of February 16th of 2020. The outbreak of the COVID-19 pandemic in late January and the travel restrictions stroke the hospitality industry.

The Airbnb business model has revolutionized the hospitality and tourism industry by leveraging the power of the sharing economy. Established in 2008, Airbnb provides a platform for homeowners to monetize their extra space by renting it out to travelers seeking unique lodging experiences. This innovative approach no

This dataset contains the predicted prices of the asset Airbnb Inc Sailing over the next 16 years. This data is calculated initially using a default 5 percent annual growth rate, and after page load, it features a sliding scale component where the user can then further adjust the growth rate to their own positive or negative projections. The maximum positive adjustable growth rate is 100 percent, and the minimum adjustable growth rate is -100 percent.

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.

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The revenue of Airbnb with headquarters in the United States amounted to **** billion U.S. dollars in 2024. The reported fiscal year ends on December 31.Compared to the earliest depicted value from 2020 this is a total increase by approximately **** billion U.S. dollars. The trend from 2020 to 2024 shows, furthermore, that this increase happened continuously.

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.

Context

Airbnb has successfully disrupted the traditional hospitality industry as more and more travelers decide to use Airbnb as their primary accommodation provider. Since its beginning in 2008, Airbnb has seen an enormous growth, with the number of rentals listed on its website growing exponentially each year. Amsterdam is a city always buzzing with travelers. Good food, diverse crown and vibrant culture makes it a favorite travel destination for many. Airbnb started its Amsterdam operations a few years ago and since then, Airbnbs have been preferred places to stay for travelers.

Content

This data is an open source dataset downloaded from http://insideairbnb.com/get-the-data.html with a cut-off date of 16th April 2020. This is a summary dataset, which means a lot of non-essential columns have been trimmed to make the data easy to use and understand.

Acknowledgements

A big shout out to Airbnb for providing open source data to developers to practice and improve their analysis skills.

Inspiration

Airbnb data is a great source to understand how hotel and stay business works. This dataset has factors like pricing, reviews and availability which we all, knowingly or unknowingly, come across while booking accommodation. I loved analyzing this data and generating insights from this. Are you ready to generate yours ?

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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, Airbnb reported a gross booking value of ***** billion U.S. dollars, an increase over the previous year.

The global homestay platform market is experiencing robust growth, driven by increasing demand for unique and affordable travel experiences. The market, valued at approximately $15 billion in 2025, is projected to exhibit a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033. This significant expansion is fueled by several factors, including the rising popularity of experiential travel, the increasing adoption of online booking platforms, and the growing preference for budget-friendly accommodations among millennials and Gen Z travelers. Furthermore, the market benefits from the continuous improvement in technology, offering users enhanced search functionalities, personalized recommendations, and secure payment gateways. The rise of the sharing economy and the increasing penetration of smartphones globally further contribute to market growth. The competitive landscape comprises both established players like Airbnb, Booking.com, and Expedia, and numerous regional and niche players catering to specific traveler preferences. However, the market also faces certain challenges. Stringent regulations related to short-term rentals in various regions pose a significant restraint. Concerns regarding safety and security for both hosts and guests, and the potential for negative impacts on local communities, are also addressed by many players through enhanced verification processes and community guidelines. Nevertheless, the overall market outlook remains positive, with significant opportunities for expansion in emerging economies and untapped markets. The continuous innovation in technology, coupled with the ongoing evolution of travel preferences, is expected to propel the homestay platform market toward sustained growth in the forecast period.