Vacation Rentals - Brazil

Brazil

Highlights

Brazil is projected to see a significant increase in revenue for the Vacation Rentals market, with a projected revenue of US$2.15bn in 2024.
This is expected to show an annual growth rate of 3.13%, resulting in a projected market volume of US$2.51bn by 2029.
As for the number of users, it is expected to reach 44.63m users by 2029.
In 2024, user penetration is projected to be 16.5%, which is expected to slightly decrease to 20.0% by 2029.
The expected average revenue per user (ARPU) is US$59.77.
By 2029, 68% of the total revenue for the Vacation Rentals market is projected to be generated through online sales.
It is noteworthy that United States is expected to generate the most revenue in the global comparison, with a projected revenue of US$20bn in 2024.
Brazil's Vacation Rentals market is experiencing a rise in demand from domestic travelers seeking spacious and private accommodations during the pandemic.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in Brazil has been experiencing significant growth and development in recent years.

Customer preferences: Travelers in Brazil are increasingly seeking unique and authentic experiences, leading to a growing demand for vacation rentals over traditional hotel accommodations. Customers value the flexibility, space, and local charm that vacation rentals offer, allowing them to immerse themselves in the culture and lifestyle of different regions in Brazil.

Trends in the market: One noticeable trend in the Brazilian vacation rentals market is the rise of online platforms and apps that connect travelers with property owners, making it easier for both parties to find suitable matches. Additionally, there has been a surge in the popularity of eco-friendly and sustainable vacation rentals, aligning with the global trend towards responsible tourism.

Local special circumstances: Brazil's vast and diverse landscape, ranging from vibrant cities to picturesque beaches and lush rainforests, provides a wide range of options for vacation rentals. This diversity attracts a variety of travelers, from urban explorers to nature enthusiasts, contributing to the demand for different types of accommodations across the country.

Underlying macroeconomic factors: The improving economic conditions in Brazil, coupled with a growing middle class and increasing disposable income, have fueled domestic travel and tourism. This has led to a higher number of Brazilians exploring their own country for leisure, boosting the demand for vacation rentals as a preferred choice of accommodation. Additionally, Brazil's hosting of major events such as the Olympics and the FIFA World Cup has put the country in the spotlight, attracting international tourists and further driving the vacation rentals market.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of vacation rentals.

Modeling approach:

Market sizes are determined through a bottom-up approach, building on a specific rationale for each market. As a basis for evaluating markets, we use financial reports, the Global Consumer Survey, third-party studies and reports, data from industry associations (e.g., UNWTO), and price data of major players in respective markets. To estimate the number of users and bookings, we furthermore use data from the Statista Consumer Insigths Global survey. In addition, we use relevant key market indicators and data from country-specific associations, such as country-related GDP, demographic data (e.g., population), tourism spending, consumer spending, internet penetration, and device penetration. This data helps us estimate the market size for each country individually.

Forecasts:

In our forecasts, we apply diverse forecasting techniques. The selection of forecasting techniques is based on the behavior of the relevant market. For example, ARIMA, which allows time series forecasts, accounting for stationarity of data and enabling short-term estimates. Additionally, simple linear regression, Holt-Winters forecast, and exponential trend smoothing methods are applied. A k-means cluster analysis allows for the estimation of similar countries. The main drivers are tourism GDP per capita and respective price indices.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.