Travel & Tourism - Burkina Faso

  • Burkina Faso
  • The projected revenue for the Travel & Tourism market in Burkina Faso is expected to reach US$108.50m in 2024.
  • It is estimated that the market will show an annual growth rate (CAGR 2024-2029) of 3.44%, resulting in a projected market volume of US$128.50m by 2029.
  • The largest market in this market is the Hotels, with a projected market volume of US$51.57m in 2024.
  • By 2029, the number of users in Hotels is expected to amount to 979.70k users.
  • Furthermore, user penetration is expected to increase from 5.0% in 2024 to 6.0% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$90.54 in Burkina Faso.
  • It is projected that 69% of the total revenue in the Travel & Tourism market in Burkina Faso will be generated through online sales by 2029.
  • In global comparison, United States is expected to generate the most revenue in this market with US$214bn in 2024.
  • Burkina Faso's tourism industry is seeing an increase in eco-tourism, with visitors drawn to its national parks and wildlife reserves.

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

 
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Analyst Opinion

The Travel & Tourism market in Burkina Faso has been experiencing significant growth in recent years, attracting both domestic and international travelers.

Customer preferences:
Travelers in Burkina Faso are increasingly seeking authentic cultural experiences, leading to a rise in demand for tours that showcase the local traditions, music, and crafts. Additionally, there is a growing interest in eco-tourism and sustainable travel practices among tourists visiting the country.

Trends in the market:
One notable trend in the Burkina Faso travel market is the increasing popularity of community-based tourism initiatives, where visitors can engage with local communities and support small-scale enterprises. This trend aligns with the global movement towards responsible tourism and immersive travel experiences.

Local special circumstances:
Burkina Faso's unique cultural heritage and diverse landscapes, including national parks, waterfalls, and traditional villages, set it apart as a destination with a rich tapestry of offerings for travelers. The country's vibrant festivals and events also attract tourists looking to participate in colorful celebrations.

Underlying macroeconomic factors:
The growth of the Travel & Tourism market in Burkina Faso can be attributed to various macroeconomic factors, such as government investment in infrastructure development, improved political stability, and efforts to promote the country as a tourist destination. Additionally, partnerships with international organizations and neighboring countries have helped boost the tourism sector and drive visitor numbers.

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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