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

The top 100 Airbnb markets in 2025 are: 1. London - Lenient regulations, 51,638 listings, 73% occupancy rate, $190 daily rate. See other 99 places.

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

The Google Maps mobile app reported the highest number of downloads worldwide among the selected travel apps in 2024. That year, this app recorded nearly 127 million aggregated downloads on iOS and Google Play. The Uber app was the second most downloaded app in the ranking, with almost 120 million downloads. The online travel agency app market Focusing on the online travel agency (OTA) market, Airbnb topped the ranking of the OTA apps with the highest number of downloads worldwide in 2024, ahead of Booking.com. When looking at the number of downloads of leading OTA apps in the U.S. that year, Airbnb recorded again the highest figure, while Expedia ranked second in that case. How big is the travel app market? In 2023, the travel app market's global revenue reached nearly 1.3 billion U.S. dollars and was forecast to increase steadily over the following years. When breaking down the global travel app market's revenue by country, the United States and China ranked by far as the biggest players that year, generating around 540 million and 380 million U.S. dollars, respectively.

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, the North America region had the largest share of Airbnb's gross booking value, with 37.8 billion U.S. dollars.

The top 100 Airbnb markets in 2025 are: 1. Los angeles - Strict regulations, 11,250 listings, 67% occupancy rate, $213 daily rate. See other 99 places.

As of December 2024, Airbnb's global market capitalization was 83.3 billion U.S. dollars, down from around 87.3 billion U.S. dollars the previous year. The company's market capitalization peaked in 2021 at over 100 billion U.S. dollars.

Airbnb Global Accommodation and Reviews

Exploring Location-Based Listing Data

By Debayan Kar [source]

About this dataset

The Airbnb Global Dataset contains a wealth of information about the locations, availability, reviews and other details related to short-term rentals available around the world. Use this dataset to explore how guests rate their experiences, discover new places in various neighbourhood groups and geographical locations, compare prices of different room types, consider minimum nights required for bookings and more! With this data set you can evaluate factors associated with: host name; neighbourhood group; latitude & longitude; room type; price; minimum nights required for bookings; number of reviews - both in total and over the last 12 months (number_of_reviews_ltm); license (if applicable); last review received; average number of reviews per month (reviews per month) as well as calculated host listing counts which reflect seasonal demand variations. With this information at your fingertips you could travel anywhere your heart desires - so let's turn those dreams into reality!

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How to use the dataset

The following guide will help you get started in your journey to gain insights from this data set.

First, specify the fields that you want to focus on. In order to do this, make sure you take into consideration the columns available within this dataset. By doing so, not only are you able to hone in on specific aspects of Airbnb accommodation and reviews (i.e neighborhood groups, room types or even pricing), but also identify themes or common trends among listings which could prove useful when formulating hypotheses.

Once you have identified which fields will be useful for analysis, it is important that they are converted into appropriate data types if they need any sort of conversion at all (i.e converting strings to integers). Moreover, make sure there are no inconsistencies across your features when exploring the entries in those columns; take care of them before any substantial analysis is done.

You are now ready for some exploratory analysis! Start by creating visualizations such as bar graphs or box plots in order to get an overview of particular aspects related to listings (i.e distribution of prices around a neighbourhood group) - these can be very useful indicators! Then try out correlations between different exponential variable datasets such as availability_365 versus minimum_nightsand explore how they fluctuate with changes in pricing over time - examining how these relationships relate over different locations can yield interesting results like unexpected concentration points which demand research! Another field worth exploring would be reviews associated with each listing by digging down into their components like ratings breakdowns under different criteria such as security/price value ratio etc.. All these evaluations should give an excellent outline on what potential customers might look out for while browsing through options online so as entrepreneurs we can hover upon those trends specially mentioning needs fulfilled during our advertisement campains.... Lastly examine publicly available information about each host such as number_of_reviews or calculated_listings count variation over time , with ability provided here we have ample opportunities predicting customer opinion about newly created businesses offering same services...so many things one could dive deep !

Overall , after gaining ample amount insights taking about current market scenario it’s best suggested procuring feedback from active host & using it devise plans bringing mutual mutually beneficial solutions making both hosts & guests happy . This is where creativity play huge role designing perks forming long lasting trust inducing relationship between service providers &

Research Ideas

• Predicting price points for Airbnb listings based on factors such as room type, neighborhood group, and reviews.
• Identifying areas with a high demand for Airbnb rentals, by looking at the ratio of availability to number of reviews for listings in different neighborhoods.
• Analyzing guest satisfaction levels based on factors such as room type and location, by correlating the reviews_per_month with the number_of_reviews indicator and other variables in the dataset

Acknowledgements

If you use this dataset in your research, please credit the original authors. Data Source

License

See the dataset description ...

The total revenue of Airbnb reached 11.1 billion U.S. dollars in 2024. This was an increase over the previous year's total of 9.92 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, North America, where Airbnb was founded, 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 North America where Airbnb’s gross booking value amounted to 37.8 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 200 million in 2020 due to these travel restrictions. In 2024, Airbnb reported over 492 million booked nights and experiences, a significant increase over the previous year.

The top 100 Airbnb markets in 2025 are: 1. London - Lenient regulations, 51,638 listings, 73% occupancy rate, £152 daily rate. See other 99 places.

See the average Airbnb revenue & other vacation rental data in Reading in 2025 by property type & size, powered by Airbtics. Find top locations for investing.

The short-term vacation rental market, valued at $116.14 billion in 2025, is experiencing robust growth, projected to expand at a compound annual growth rate (CAGR) of 8.32% from 2025 to 2033. This expansion is fueled by several key drivers. The rising popularity of experiential travel, coupled with the increasing affordability and accessibility of online booking platforms like Airbnb, Booking.com, and Expedia, significantly contributes to market growth. Furthermore, the diversification of rental options, including professionally managed properties catering to a wider range of traveler preferences, and the growing adoption of vacation rentals by families and groups seeking more space and privacy compared to traditional hotels, are driving demand. The preference for unique and authentic travel experiences, often found in vacation rentals, also fuels this sector's growth. Geographic expansion into emerging markets and the ongoing technological advancements in property management systems are also contributing factors. However, the market faces certain challenges. Seasonal fluctuations in demand and potential regulatory hurdles related to licensing, taxation, and guest safety standards pose significant constraints. Competition from established hotel chains offering comparable amenities and pricing strategies necessitates continuous innovation and strategic adaptations by vacation rental providers. Fluctuations in global economic conditions and the impact of geopolitical events can also influence traveler spending and market growth. Nevertheless, the overall outlook remains positive, with the market poised for substantial expansion driven by sustained demand and evolving traveler preferences. The diverse range of booking methods (online and offline) and management styles (owner-managed and professionally managed) further contributes to the market's dynamism and adaptability. Key players are employing various competitive strategies, including strategic partnerships, technological upgrades, and brand building, to maintain a strong market presence and capture a larger share of this expanding market.

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 201 million bookings. Asia Pacific had the lowest number of bookings at 61 million. The Asia Pacific region also had the lowest average number of nights per Airbnb booking in 2024.

The global room rental platform market is experiencing robust growth, driven by the increasing popularity of short-term rentals and the rising demand for flexible accommodation options. 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 growth is fueled by several factors, including the expansion of the gig economy, increased international travel and tourism, and the rising adoption of technology in property management. The rise of short-term rental platforms like Airbnb has significantly disrupted the traditional hospitality sector, while long-term rental platforms cater to a growing segment of transient professionals and students. Segmentation within the market reveals strong demand across both short-term and long-term lease applications, with hotels, apartments, and civil accommodations all contributing to the overall market size. Geographic expansion is also a significant factor, with North America and Europe currently dominating the market, but significant growth potential is evident in Asia-Pacific regions driven by rapid urbanization and increasing internet penetration. The competitive landscape is dynamic, featuring established players like Airbnb, Zillow, and Booking.com alongside specialized platforms catering to specific niches like student accommodation (Uniplaces, Nestpick) or long-term rentals (Buildium, AppFolio). Future growth will likely be shaped by technological advancements, including improved search algorithms, enhanced payment security, and the integration of artificial intelligence for better property management and customer service. Regulatory changes and concerns regarding data privacy and safety will also play a crucial role in shaping the market's trajectory. The market’s sustained growth will hinge on effectively addressing these factors while continuing to innovate and adapt to evolving consumer preferences for flexible and convenient accommodation options.

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.

The global housing rental platform market, currently valued at $41.94 billion (2025), is poised for significant growth. While the precise CAGR is unavailable, considering the rapid expansion of the short-term rental market fueled by platforms like Airbnb and the increasing preference for flexible living arrangements, a conservative estimate would place the annual growth rate between 10-15%. This growth is driven by several factors: the increasing popularity of vacation rentals, the rise of remote work fostering a demand for longer-term rentals in diverse locations, and technological advancements enhancing platform functionalities (e.g., streamlined booking processes, enhanced property management tools). Trends such as the integration of AI for personalized recommendations and the increasing adoption of mobile-first booking strategies further contribute to market expansion. However, the market faces challenges including regulatory hurdles related to licensing and taxation of short-term rentals, concerns about property security and guest safety, and competition from traditional real estate agencies. Market segmentation reveals substantial opportunities within both the type of platform (cloud-based solutions gaining traction for scalability and accessibility) and application (short-term rentals dominate the market share, although long-term lease platforms are seeing substantial growth driven by the remote work trend). Geographic distribution shows strong performance in North America and Europe, driven by established platforms and high adoption rates. However, significant untapped potential exists in Asia-Pacific and other emerging markets with increasing internet penetration and urbanization. The competitive landscape is dynamic, with established players like Airbnb and Booking.com facing competition from niche platforms catering to specific needs (e.g., long-term rentals, corporate housing). Future growth will depend on continued technological innovation, regulatory compliance, and effective strategies to address market challenges and tap into emerging markets.

The top 6 Airbnb markets in 2025 are: 1. Boston - Strict regulations, 2,689 listings, 72% occupancy rate, $216 daily rate. See other 5 places.

The short-term rental management software market is experiencing robust growth, driven by the booming popularity of platforms like Airbnb and Vrbo. The increasing number of property owners seeking efficient tools to manage their listings, optimize pricing, and streamline guest communication fuels this expansion. While precise market sizing data is unavailable, considering the explosive growth of the short-term rental market itself and the essential role software plays in its efficient operation, we can reasonably estimate the global market size to be around $2 billion in 2025, with a Compound Annual Growth Rate (CAGR) of 15-20% projected through 2033. This growth is propelled by several key factors: the rising demand for automated solutions to manage complex tasks such as pricing, booking management, and guest communication; increasing adoption of channel management platforms to list properties across multiple booking sites; and the growing need for full-featured platforms offering comprehensive functionalities for property management. The market is segmented into various software types, including full-featured platforms, channel management platforms, and automation platforms, each catering to different needs and scales of operation. North America currently holds the largest market share, followed by Europe and Asia-Pacific, reflecting the higher density of short-term rentals in these regions. However, emerging markets in Asia and South America are showing significant potential for future growth. Despite its rapid expansion, the market faces certain restraints. These include the relatively high initial investment costs for some software solutions, the need for continuous technological updates to stay competitive, and the potential for integration challenges with various booking platforms. Furthermore, competition among established players and new entrants is intense, requiring software providers to offer innovative features and competitive pricing to attract and retain clients. The market's future hinges on adapting to evolving technological advancements, such as AI-powered pricing optimization and personalized guest experiences, to solidify its position within the broader hospitality sector. Strategic partnerships with property management companies and ongoing innovation will be crucial for sustained market dominance.

The short-term rental (STR) platform market is experiencing robust growth, driven by increasing traveler demand for unique and flexible accommodation options, coupled with the rise of the sharing economy. The market, currently estimated at $150 billion in 2025, is projected to achieve a Compound Annual Growth Rate (CAGR) of 12% from 2025 to 2033, reaching approximately $450 billion by 2033. This growth is fueled by several key factors including the increasing affordability and accessibility of online booking platforms, the rise in popularity of remote work and digital nomadism leading to extended stays, and a growing preference for alternative accommodation over traditional hotels, particularly among millennial and Gen Z travelers. Key players like Airbnb, Booking.com, and Expedia are constantly innovating with new features and services to cater to this evolving demand, while smaller, specialized platforms are emerging to focus on niche markets such as luxury stays or eco-friendly options. Despite the positive outlook, the market faces certain challenges. Regulation remains a significant factor, with many cities grappling with the impacts of STRs on local housing markets and tourism infrastructure. Concerns around property damage, noise complaints, and the lack of consistent safety standards also pose risks. Furthermore, the market's vulnerability to economic downturns and fluctuations in travel patterns, particularly in the face of unforeseen global events, is a persistent concern. However, the overall positive trajectory is anticipated to continue, driven by the strong underlying demand and the ongoing adaptation of platforms to address regulatory and operational challenges. The market's segmentation is also a key factor, with a wide range of platforms catering to diverse traveller needs and budgets, resulting in a highly competitive but dynamic landscape.

The Airbnb Reviews dataset provides structured, multilingual guest feedback from Airbnb listings worldwide. Each entry includes the full review text, star rating, reviewer profile, location, timestamp, and language. Ideal for sentiment analysis, reputation monitoring, travel market research, and AI/ML training, this dataset allows country-level filtering for the US, EU, and Australia. Continuously updated and scalable to millions of reviews, the data is exportable in CSV, JSON, or JSONL formats. It is ready for analytics pipelines, NLP applications, recommendation engines, and travel trend analysis.

You can request the large dataset at: Airbnb Reviews
To get a custom data quote, visit: Get quote

Key Features:

• Full review text with star ratings and verified stay flags.

• Metadata including reviewer name, profile, property type, location, timestamp, and language.

• Multilingual coverage for global analysis.

• Country-specific filtering for US, EU, and AU markets.

• Continuous updates to include new reviews and listings.

• Export formats: CSV, JSON, JSONL.

• Scalable for millions of reviews.

Use Cases:

• Train AI models for sentiment analysis and review classification.

• Monitor property and host reputation across regions.

• Build semantic search engines for Airbnb reviews.

• Conduct global or regional travel market research.

• Feed review summarizers and QA models with structured review data.