Vacation Rentals - Burkina Faso

Burkina Faso

Highlights

Burkina Faso is expected to see growth in the Vacation Rentals market with revenue projected to reach US$20.68m by 2024 and an annual growth rate of 3.12% from 2024-2029.
This growth is expected to result in a projected market volume of US$24.12m by 2029.
By this time, the number of users in Burkina Faso is expected to reach 979.70k users, with a user penetration rate of 3.6%, up from 3.1% in 2024.
The average revenue per user (ARPU) is expected to be US$28.25.
In terms of online sales, 63% of the total revenue in Burkina Faso's Vacation Rentals market is expected to be generated through online sales by 2029.
It is worth noting that in global comparison, United States is expected to generate the most revenue in this market, with revenue projected to reach US$20bn in 2024.
Although Burkina Faso is not a popular Vacation Rentals market, there are a few properties available for tourists seeking a unique experience in West Africa.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Vacation Rentals market in Burkina Faso is experiencing a gradual but steady growth, driven by various factors unique to the region.

Customer preferences: Travelers in Burkina Faso are increasingly opting for vacation rentals over traditional hotels due to the desire for a more authentic and immersive experience. Tourists are drawn to the opportunity to stay in local homes or apartments, allowing them to connect with the culture and community on a deeper level.

Trends in the market: One notable trend in the Burkina Faso vacation rentals market is the rise of eco-friendly and sustainable accommodation options. Travelers are showing a preference for properties that prioritize environmental conservation and support local communities. This trend aligns with the global shift towards responsible tourism practices.

Local special circumstances: Burkina Faso's unique cultural heritage and natural attractions play a significant role in shaping the vacation rentals market. The country's diverse landscapes, from the Sahel region to the lush forests of the south, offer a range of experiences for travelers. This diversity presents opportunities for property owners to cater to different types of tourists, whether they are seeking adventure, relaxation, or cultural immersion.

Underlying macroeconomic factors: The growing middle class in Burkina Faso, coupled with an increase in domestic and international tourism, is contributing to the expansion of the vacation rentals market. As more people have disposable income for leisure travel, there is a higher demand for affordable yet comfortable accommodation options. Additionally, the government's efforts to promote tourism and improve infrastructure are creating a more conducive environment for the growth of the vacation rentals sector.

Data coverage:

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

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.