Travel & Tourism - Senegal

  • Senegal
  • In Senegal, the revenue in the Travel & Tourism market is expected to reach US$150.20m by 2024.
  • The projected annual growth rate (CAGR 2024-2029) is 6.32%, resulting in a market volume of US$204.10m by 2029.
  • The market's largest market is the Hotels market with a projected market volume of US$62.67m in 2024.
  • By 2029, the number of users in Hotels is expected to reach 2,059.00k users.
  • The user penetration in Hotels is projected to increase from 9.3% in 2024 to 13.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$88.51.
  • By 2029, 66% of the total revenue in the Travel & Tourism market will be generated through online sales.
  • In global comparison, United States is expected to generate the most revenue in the Travel & Tourism market with US$214bn in 2024.
  • Senegal's tourism industry is diversifying with an emphasis on eco-tourism and cultural experiences.

Key regions: Malaysia, Europe, Singapore, Vietnam, United States

 
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Analyst Opinion

The Travel & Tourism market in Senegal is experiencing a significant growth trajectory.

Customer preferences:
Travelers in Senegal are increasingly seeking authentic cultural experiences, eco-friendly accommodations, and opportunities for adventure tourism. This shift in preferences is driven by a growing global trend towards sustainable and experiential travel.

Trends in the market:
One notable trend in the Senegalese Travel & Tourism market is the rise of community-based tourism initiatives, where local communities are directly involved in providing services to tourists. This trend not only benefits the local economy but also offers travelers a more immersive and authentic experience. Additionally, the government's focus on infrastructure development and promotion of key tourist destinations is attracting more international visitors to the country.

Local special circumstances:
Senegal's unique geographical location as the westernmost country in Africa, with a rich history and diverse cultural heritage, sets it apart as a desirable travel destination. The country's vibrant music and arts scene, along with its stunning natural landscapes such as the Pink Lake and the UNESCO World Heritage Site of Saint-Louis, contribute to its appeal among tourists.

Underlying macroeconomic factors:
The stable political environment in Senegal, coupled with government initiatives to promote the tourism sector, has created a conducive atmosphere for the industry's growth. The country's strategic investments in infrastructure, such as the expansion of airports and roads, have improved accessibility to key tourist sites, further boosting the Travel & Tourism market. Additionally, the increasing connectivity through international flights and the development of luxury accommodations are attracting high-spending tourists to Senegal.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and sales channels of hotels, vacation rentals, cruises, package holidays, and camping.

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
  • Travel Behavior
  • Global Comparison
  • Methodology
  • Key Market Indicators
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