Vacation Rentals - Uruguay

Uruguay

Highlights

Uruguay is expected to witness a significant growth in the Vacation Rentals market as revenue is projected to reach US$67.95m by 2024.
The market is expected to grow annually at a rate of 5.87% resulting in a projected market volume of US$90.38m by 2029.
By 2029, the number of users is expected to increase to 904.00k users with a user penetration rate of 26.4%, up from 22.4% in 2024.
The average revenue per user (ARPU) is projected to be US$88.62.
Furthermore, 72% of total revenue in the Vacation Rentals market is expected to be generated through online sales by 2029.
In contrast, United States is expected to remain the market leader with a revenue of US$20bn in 2024 in the global comparison.
Uruguay's Vacation Rentals market is thriving due to its beautiful beaches, relaxed lifestyle, and cultural attractions.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Uruguay, known for its beautiful beaches and vibrant culture, has seen a significant rise in the Vacation Rentals market in recent years.

Customer preferences: Travelers visiting Uruguay are increasingly seeking unique and authentic experiences, driving the demand for vacation rentals over traditional hotels. Many tourists prefer the flexibility and privacy that vacation rentals offer, allowing them to immerse themselves in the local culture and lifestyle.

Trends in the market: One notable trend in the Uruguayan Vacation Rentals market is the growing popularity of eco-friendly and sustainable accommodations. Travelers are showing a preference for properties that are environmentally conscious, reflecting a global shift towards responsible tourism. Additionally, the rise of digital platforms and online booking services has made it easier for property owners to list their rentals and for travelers to find and book them.

Local special circumstances: Uruguay's stable political environment and commitment to promoting tourism have created a favorable climate for the growth of the Vacation Rentals market. The country's relaxed visa policies and safety reputation have also contributed to its appeal among international travelers. Moreover, Uruguay's diverse landscape, including beachfront properties, rural retreats, and urban apartments, caters to a wide range of traveler preferences.

Underlying macroeconomic factors: The steady economic growth and increasing disposable income in Uruguay have made travel more accessible to a larger segment of the population. As a result, both domestic and international tourism have been on the rise, driving the demand for vacation rentals. Additionally, the government's efforts to improve infrastructure and promote tourism have further boosted the attractiveness of Uruguay as a travel destination.

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.