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

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,...

This statistic shows the revenue of Airbnb in New York City from 2010 to 2015, with forecasts from 2016 to 2018. In 2015, Airbnb generated an estimated ****** million U.S. dollars and this is expected to rise to ****** million U.S. dollars by 2018.

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

This statistic shows the growth in revenue of Airbnb rooms in New York City over the previous year from 2011 to 2015, with forecasts from 2016 to 2018. In 2015, the revenue of Airbnb rooms in New York City grew ** percent over the previous year.

In 2025, Airbnbs in Noosa Heads in Queensland, Australia, had the highest average annual revenue across the cities and regions represented, with a revenue of over ******* Australian dollars. Surfers Paradise was also a highly profitable Airbnb location for hosts that year.

This statistic shows the revenue of the leading commercial Airbnb hosts in New York City between 2010 and 2014. The leading commercial host using Airbnb in New York City generated approximately **** million U.S. dollars in revenue from private short-term rentals between 2010 and 2014.

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.

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.

Just before the Chinese New Year in 2020, the coronavirus COVID-19 began to spread across China. As of *************, Airbnb 's weekly revenue in Beijing shrank to *********** U.S. dollars, whereas the occupancy rate of Airbnb properties stood below *** percent.

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.

************* 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.

Our travel datasets provide extensive, structured data covering various aspects of the global travel and hospitality industry. These datasets are ideal for businesses, analysts, and developers looking to gain insights into hotel pricing, short-term rentals, restaurant listings, and travel trends. Whether you're optimizing pricing strategies, analyzing market trends, or enhancing travel-related applications, our datasets offer the depth and accuracy you need.

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  Restaurant Listings & Reviews: Explore restaurant data from Tripadvisor, OpenTable, Zomato, Deliveroo, and Talabat, 
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Transit Occupancy Tax By Revenue Source. Provides revenue totals for VRBO and Airbnb rentals.

The US hospitality market, a significant segment of the global industry, is projected to experience robust growth over the forecast period (2025-2033). With a global market size of $235.96 billion in 2025 and a Compound Annual Growth Rate (CAGR) of 4.87%, the US market, representing a substantial portion of this global figure, is expected to follow a similar trajectory, driven by several key factors. Increased domestic and international tourism, fueled by economic growth and rising disposable incomes, is a primary driver. The burgeoning popularity of experiential travel and the growing demand for unique accommodations beyond traditional hotels, including service apartments and boutique hotels, are also contributing significantly. Furthermore, strategic investments in infrastructure and technological advancements in hospitality management systems are enhancing operational efficiency and guest experience, further bolstering market expansion. However, external factors such as economic downturns, geopolitical instability, and fluctuating fuel prices could potentially restrain growth. The market is highly segmented, with chain hotels maintaining a dominant share, alongside a significant presence of independent hotels catering to niche markets. Within the segmentation by type of accommodation, budget and economy hotels see strong growth driven by price-conscious travelers, while luxury hotels continue to attract high-spending clientele. Within the US context, the competitive landscape is fiercely contested, with major players like Marriott International, Hilton Worldwide, and Airbnb vying for market share. These established brands leverage their extensive networks, strong brand recognition, and loyalty programs to maintain dominance. However, the emergence of innovative hospitality models and the rise of online travel agencies (OTAs) continue to challenge the traditional market structure. The increasing preference for personalized experiences and sustainable tourism practices is impacting hotel operations and investment strategies. A successful future in the US hospitality market will hinge on adapting to evolving consumer preferences, incorporating technology effectively, and demonstrating a commitment to sustainability. The forecast period is likely to see further consolidation through mergers and acquisitions, alongside the entry of new players offering innovative services and accommodations. Therefore, understanding these dynamic market forces is crucial for investors and stakeholders to navigate the future of the US hospitality sector effectively. Recent developments include: September 2023: IHG Hotels & Resorts opened a new Holiday Inn property in South Philadelphia following a conversion and renovation. Located minutes from Philadelphia International Airport and within walking distance of the city’s primary sports and entertainment facilities complex (which includes Lincoln Financial Field, Citizens Bank Park, and Wells Fargo Center), Holiday Inn Philadelphia Airport Stadium Area delivers a convenient, comfortable, and welcoming experience appropriate for the “City of Brotherly Love.”, August 2023: Wyndham Hotels & Resorts and LuxUrban Hotels Inc., a leading hotel operator with a growing portfolio of nearly two dozen assets in key urban markets across the United States, announced a newly signed deal to bring 16 LuxUrban hotels, representing approximately 1,400 rooms, into the Trademark Collection by Wyndham brand.. Key drivers for this market are: Growing Tourism Increasing Demand for Hospitality Services, Consistent Demand for Business Travel and Corporate Hospitality Services. Potential restraints include: Growing Tourism Increasing Demand for Hospitality Services, Consistent Demand for Business Travel and Corporate Hospitality Services. Notable trends are: US Hotel Occupancy Soars, Fueled by Diverse Factors and Economic Uptick.

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Airbnb Stock: A Hold for the Next 6 Months

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

This analysis presents a rigorous exploration of financial data, incorporating a diverse range of statistical features. By providing a robust foundation, it facilitates advanced research and innovative modeling techniques within the field of finance.

Airbnb Stock: Is It a Buy, Sell, or Hold for the Next 3 Months?

Financial data:

• Historical daily stock prices (open, high, low, close, volume)

• Fundamental data (e.g., market capitalization, price to earnings P/E ratio, dividend yield, earnings per share EPS, price to earnings growth, debt-to-equity ratio, price-to-book ratio, current ratio, free cash flow, projected earnings growth, return on equity, dividend payout ratio, price to sales ratio, credit rating)

• Technical indicators (e.g., moving averages, RSI, MACD, average directional index, aroon oscillator, stochastic oscillator, on-balance volume, accumulation/distribution A/D line, parabolic SAR indicator, bollinger bands indicators, fibonacci, williams percent range, commodity channel index)

Machine learning features:

• Feature engineering based on financial data and technical indicators

• Sentiment analysis data from social media and news articles

• Macroeconomic data (e.g., GDP, unemployment rate, interest rates, consumer spending, building permits, consumer confidence, inflation, producer price index, money supply, home sales, retail sales, bond yields)

Potential Applications:

• Stock price prediction

• Portfolio optimization

• Algorithmic trading

• Market sentiment analysis

• Risk management

Use Cases:

• Researchers investigating the effectiveness of machine learning in stock market prediction

• Analysts developing quantitative trading Buy/Sell strategies

• Individuals interested in building their own stock market prediction models

• Students learning about machine learning and financial applications

Additional Notes:

• The dataset may include different levels of granularity (e.g., daily, hourly)

• Data cleaning and preprocessing are essential before model training

• Regular updates are recommended to maintain the accuracy and relevance of the data

Snapshot img

Short Term Vacation Rental Market Size 2025-2029

The short term vacation rental market size is forecast to increase by USD 114.1 billion, at a CAGR of 13.5% between 2024 and 2029.

The market is experiencing significant growth, driven by the expanding tourism industry and the increasing popularity of alternative accommodation options. Travelers seek flexibility, convenience, and unique experiences, making short term rentals an attractive choice over traditional and boutique hotels. Technological advancements further enhance the market's appeal, with digital platforms simplifying the booking process and offering personalized recommendations based on traveler preferences. However, the market faces challenges in ensuring consistent quality across vacation rental properties. The lack of standardization and regulation can lead to inconsistencies in the guest experience, potentially impacting customer satisfaction and brand reputation.
Addressing this challenge requires a commitment to quality assurance, from property maintenance and cleanliness to guest communication and support. Companies that prioritize these aspects and leverage technology to streamline operations will capitalize on the market's opportunities while navigating challenges effectively.

What will be the Size of the Short Term Vacation Rental Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The short-term rental market continues to evolve, with dynamic pricing strategies shaping the landscape. Property managers employ guest management systems to optimize operations, while digital marketing and channel management tools expand reach. Email marketing and social media platforms engage guests, driving direct bookings. Property valuation relies on data analysis, including occupancy rates and revenue management. Seasonal demand influences pricing, with peak seasons offering higher yields. Energy efficiency and green initiatives attract eco-conscious travelers, while luxury rentals cater to affluent guests.

Amenities, from smart home technology to concierge services, enhance the guest experience. Calendar synchronization ensures seamless booking and maintenance services maintain property condition. Legal compliance remains crucial, with security systems and yield management tools addressing safety and revenue optimization. Budget rentals and cabin rentals cater to diverse markets, expanding the market's reach. Overall, the short-term rental market's continuous evolution reflects the industry's adaptability and innovation.

How is this Short Term Vacation Rental Industry segmented?

The short term vacation rental industry 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.

Mode Of Booking

  Offline
  Online


Management

  Managed by owners
  Professionally managed


Type

  Apartments and condominiums
  Villas and luxury homes
  Cottages and cabins
  Resorts and bungalows
  Others


Location

  Urban
  Rural
  Coastal
  Mountain


Traveler Type

  Leisure Travelers
  Business Travelers
  Families


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    The Netherlands
    UK


  APAC

    China
    Japan


  Rest of World (ROW)

By Mode Of Booking Insights

The offline segment is estimated to witness significant growth during the forecast period.

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The Offline segment was valued at USD 87.10 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

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

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The European the market is experiencing growth due to the rising demand for travel and unique experiences. Travelers seek more personalized accommodations, leading to the popularity of short term rentals over traditional hotels. Weekend getaways and city breaks align with the trend of experiential travel, further fueling market growth. Short term rentals offer flexible options and can be cost-effective for families or groups. Pricing strategies, such as dynamic pricing and seasonal demand, influence rental income. Guest management systems, email marketing, and channel management help optimize bookings. Operating expenses include cleaning services, maintenance, and property management software. Energy efficiency and green initiatives are essential property amenities.

Smart home technology enhances the guest experience, while calendar synchronization and inve

As of October 2020, there were over ** thousand active Airbnb listings in New York. This figure has grown significantly since January 2010, where there were only *** Airbnb listings in the city. In 2020, Airbnb earned a total revenue of **** billion U.S. dollars, showing a decline when compared to the previous year. This was most likely due to the impact of the coronavirus (COVID-19) pandemic.

In 2025, Victoria’s capital, Melbourne, came out on top as Australia’s Airbnb hub, home to the highest number of Airbnb listings across the Australian cities and regions represented, with over ****** listings. Sydney and the Gold Coast also emerged as Airbnb powerhouses in the country, with the next highest listing volumes that year. Which Airbnb locations are proving most profitable? Airbnb is one of the most popular online travel accommodation booking brands among Australians, according to a 2025 survey. While Melbourne leads in sheer Airbnb listing numbers, other regions are proving more lucrative for Airbnb hosts regarding income. Noosa Heads in Queensland generated the highest annual Airbnb revenue countrywide, exceeding ******* Australian dollars. Surfers Paradise and the Sunshine Coast followed closely, indicating that Queensland’s coastal areas show promising returns for Airbnb hosts as they are popular among holidaymakers looking for short-term rentals. Occupancy rates and average daily charges Yet, it was Perth that had the highest occupancy rate across Australia’s key Airbnb markets, with an ** percent average, with Airbnb rentals in areas like Surfers Paradise, Brisbane, and the Gold Coast also enjoying high occupancy. This high occupancy rate in Perth may be attributed to a balanced supply and demand in the market. Mornington Peninsula had the highest average Airbnb daily rates across Australia’s cities and regions, with Noosa Heads and Shoalhaven also fetching premium prices. These regional disparities in revenue versus occupancy and daily rates highlight the importance of location in the Airbnb market. Some areas experience elevated demand and can afford to charge higher rates due to their unique appeal to tourists, proximity to certain attractions and the seafront, or limited accommodation availability.