Hotels - Senegal

  • Senegal
  • The Hotels market in Senegal is anticipated to witness a significant growth in revenue, reaching US$62.67m by 2024.
  • Moreover, it is projected to exhibit a Compound Annual Growth Rate (CAGR 2024-2029) of 5.07%, leading the market volume to escalate to US$80.26m by 2029.
  • As for the number of users in the Hotels market, it is expected to rise to 1.22m users by 2029.
  • Notably, the user penetration rate is forecasted to increase from 3.9% in 2024 to 5.9% by 2029.
  • The Average Revenue Per User (ARPU) is estimated to be US$87.50.
  • Additionally, online sales are set to contribute to 72% of the total revenue in the Hotels market by 2029.
  • It is worth mentioning that United States is expected to generate the highest revenue in the global comparison, reaching US$110,600m in 2024.
  • Senegal's hotel market is experiencing growth, with a focus on eco-tourism and luxury accommodations.

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

 
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Analyst Opinion

The Hotels market in Senegal is experiencing significant growth and development, driven by various factors influencing customer preferences, market trends, and local special circumstances.

Customer preferences:
Customers in Senegal are increasingly seeking unique and authentic experiences when choosing hotels. They are drawn to accommodations that offer cultural immersion, eco-friendly practices, and personalized services. This shift in preferences is pushing hotels to innovate and differentiate themselves to cater to the evolving needs of travelers.

Trends in the market:
One notable trend in the Senegalese Hotels market is the rising popularity of boutique hotels and eco-lodges. These smaller, more intimate properties are gaining traction among tourists looking for a more personalized and sustainable stay. Additionally, the growing investment in luxury resorts along the country's coastline is attracting high-end travelers seeking premium amenities and services.

Local special circumstances:
Senegal's strategic location on the West African coast, rich cultural heritage, and diverse natural landscapes contribute to its appeal as a tourist destination. The country's stable political environment and infrastructure development efforts are also enhancing its attractiveness for hotel investors. Moreover, the government's focus on promoting tourism as a key economic sector is driving growth in the Hotels market.

Underlying macroeconomic factors:
The economic growth and stability in Senegal are supporting the expansion of the Hotels market. Increasing disposable incomes, a growing middle class, and improved transportation links are facilitating domestic and international travel, boosting demand for hotel accommodations. Furthermore, government initiatives to enhance the business environment and attract foreign investment are creating opportunities for hotel development and tourism growth in Senegal.

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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