Hotels - Mauritius

  • Mauritius
  • By 2024, in Mauritius is expected to witness a revenue projection of US$15.75m in the Hotels market.
  • Moreover, it is projected that the revenue of the Hotels market in Mauritius will show an annual growth rate (CAGR 2024-2029) of 4.47%, resulting in a market volume projection of US$19.60m by 2029.
  • The number of users in the Hotels market is also expected to increase up to 245.00k users by 2029.
  • It is noteworthy that user penetration in this market is 12.6% in 2024 and is expected to hit 18.8% by 2029.
  • Additionally, the average revenue per user (ARPU) in the Hotels market is forecasted to reach US$96.00.
  • In terms of online sales, it is expected that 74% of total revenue will be generated through online sales by 2029.
  • Finally, when compared to other countries worldwide, United States is projected to have the highest revenue in the Hotels market with a total of US$110,600m in 2024.
  • Mauritius' hotel market is experiencing a rise in luxury eco-friendly resorts, catering to the growing demand for sustainable tourism.

Key regions: Vietnam, Indonesia, United Kingdom, Malaysia, Saudi Arabia

 
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Analyst Opinion

The Hotels market in Mauritius has been experiencing significant growth and development in recent years.

Customer preferences:
Travelers in Mauritius are increasingly looking for unique and immersive experiences during their stay. They are drawn to hotels that offer cultural activities, eco-friendly practices, and personalized services. Additionally, there is a growing demand for luxury accommodations and wellness-focused amenities in the region.

Trends in the market:
One notable trend in the Hotels market in Mauritius is the rise of boutique hotels and eco-friendly resorts. These smaller, more intimate properties are gaining popularity among tourists seeking a more authentic and sustainable travel experience. Another trend is the increasing use of technology in hotels, such as mobile check-in services and smart room features, to enhance the overall guest experience.

Local special circumstances:
Mauritius is known for its stunning beaches, rich cultural heritage, and diverse natural landscapes, making it a popular tourist destination. The government has been actively promoting the tourism sector, investing in infrastructure development and marketing efforts to attract more visitors to the island. Additionally, the country's political stability and safety contribute to its appeal as a holiday destination.

Underlying macroeconomic factors:
The growth of the Hotels market in Mauritius can also be attributed to favorable macroeconomic conditions, such as a stable economy, low inflation rates, and increasing disposable income among the local population. The country's strategic location and well-established air connectivity have further facilitated the influx of international tourists, driving the demand for hotel accommodations.

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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