Hotels - El Salvador

  • El Salvador
  • The projected revenue for the Hotels market in El Salvador is expected to reach US$52.68m by 2024.
  • It is estimated that there will be a steady rise in revenue with an annual growth rate (CAGR 2024-2028) of 4.84%, resulting in a projected market volume of US$63.64m by 2028.
  • Moreover, the number of users in the Hotels market is expected to reach 554.20k users by 2028.
  • The user penetration rate is projected to increase from 7.2% in 2024 to 8.5% by 2028.
  • The average revenue per user (ARPU) is expected to be US$114.30.
  • Notably, in the Hotels market in El Salvador, 78% of the total revenue is expected to be generated through online sales by 2028.
  • In comparison to other countries, United States is expected to generate the most revenue, with a projected revenue of US$110,500m in 2024 in the Hotels market.
  • El Salvador's hotel market has seen a rise in eco-tourism, with many hotels offering sustainable and environmentally-friendly accommodations.

Key regions: Singapore, Indonesia, India, United States, Europe

 
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Analyst Opinion

The Hotels market in El Salvador is experiencing a notable growth trajectory, driven by various factors that are shaping the industry landscape in the country.

Customer preferences:
Travelers in El Salvador are increasingly seeking unique and authentic experiences when choosing their accommodation options. This shift in preferences has led to a rise in boutique hotels and eco-friendly lodgings, catering to the demand for more personalized and sustainable stays.

Trends in the market:
One prominent trend in the Hotels market in El Salvador is the growing popularity of all-inclusive resorts, especially in beachfront locations. These resorts offer convenience and a hassle-free experience for travelers looking to relax and unwind without having to worry about additional costs.

Local special circumstances:
El Salvador's rich cultural heritage and natural beauty make it a compelling destination for both domestic and international tourists. The country's diverse landscapes, including pristine beaches, lush rainforests, and historic sites, contribute to the appeal of its hotel offerings, with many properties capitalizing on these unique selling points.

Underlying macroeconomic factors:
The economic stability and steady growth in El Salvador have played a crucial role in driving the Hotels market forward. With a growing middle class and increasing disposable income levels, more people are able to afford travel and accommodation, fueling demand for a range of hotel options across the country. Additionally, government initiatives to promote tourism and infrastructure development have further supported the expansion of the Hotels market in El Salvador.

Methodology

Data coverage:

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

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
  • Hotel Star Rating
  • Methodology
  • Key Market Indicators
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