Vacation Rentals - El Salvador

  • El Salvador
  • in El Salvador, a country Central_America, is projected to see a significant growth in revenue in the Vacation Rentals market.
  • By 2024, revenue is expected to reach US$30.78m and show an annual growth rate (CAGR 2024-2029) of 3.72%.
  • This growth is estimated to result in a projected market volume of US$36.95m by 2029.
  • Furthermore, the number of users in the Vacation Rentals market is expected to increase to 0.65m users by 2029.
  • The user penetration rate is expected to rise from 8.3% in 2024 to 9.9% by 2029.
  • The average revenue per user (ARPU) is projected to be US$57.69.
  • It is worth noting that, in the Vacation Rentals market, 66% of total revenue is expected to be generated through online sales by 2029.
  • Additionally, in global comparison, United States is projected to generate the most revenue in this market, amounting to US$20,270m in 2024.
  • El Salvador's Vacation Rentals market is on the rise due to its beautiful beaches and affordable prices for tourists.

Key regions: India, Vietnam, Saudi Arabia, Singapore, Germany

 
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Analyst Opinion

The Vacation Rentals market in El Salvador is experiencing a notable surge in popularity, driven by a combination of factors unique to the region.

Customer preferences:
Travelers in El Salvador are increasingly seeking more personalized and authentic experiences, favoring vacation rentals over traditional hotels. The desire for a home-like environment, privacy, and flexibility in accommodation options has significantly boosted the demand for vacation rentals in the country.

Trends in the market:
One prominent trend in the El Salvador Vacation Rentals market is the growing popularity of eco-friendly and sustainable properties. Travelers are showing a preference for environmentally conscious accommodations, leading to an increase in eco-friendly vacation rental options across the country. 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 seamlessly.

Local special circumstances:
El Salvador's stunning natural landscapes, including beautiful beaches, volcanoes, and lush forests, have positioned the country as an attractive destination for eco-tourism and adventure seekers. This unique environment has contributed to the growth of the Vacation Rentals market, with many properties strategically located to offer guests easy access to these natural attractions.

Underlying macroeconomic factors:
The relatively affordable cost of living in El Salvador compared to other popular tourist destinations in the region has made it an appealing choice for budget-conscious travelers. Additionally, government initiatives to promote tourism and foreign investment have further fueled the growth of the Vacation Rentals market in the country. As El Salvador continues to invest in infrastructure and tourism development, the market is expected to expand even further in the coming years.

Methodology

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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