Package Holidays - Burkina Faso

  • Burkina Faso
  • By the year 2024, revenue in the Package Holidays market of Burkina Faso is expected to reach US$36.04m.
  • This revenue is projected to grow annually at a rate of 3.82% until 2029.
  • As a result, the market volume is expected to reach US$43.48m by 2029.
  • The number of users in this market is projected to be 321.90k users by 2029.
  • In 2024, user penetration is expected to be 1.0%, while by 2029, it is projected to be 1.2%.
  • The average revenue per user (ARPU) is projected to be US$150.10.
  • In the Package Holidays market, 75% of the total revenue will be generated through online sales by 2029.
  • Interestingly, when compared globally, China is expected to generate the most revenue in this market, with US$49,250m in 2024.
  • Package holidays are not a popular choice for tourists in Burkina Faso due to the country's focus on cultural and adventure tourism.

Key regions: Singapore, India, Indonesia, Germany, Saudi Arabia

 
Market
 
Region
 
Region comparison
 
Currency
 

Analyst Opinion

The Package Holidays market in Burkina Faso is experiencing significant growth and development.

Customer preferences:
Customers in Burkina Faso are increasingly seeking convenience and hassle-free travel experiences, leading to a growing demand for package holidays. These all-inclusive offerings provide a one-stop solution for travelers, including accommodation, meals, transportation, and guided tours, catering to the preferences of those looking for a seamless vacation experience.

Trends in the market:
One notable trend in the Burkina Faso package holidays market is the rise of domestic tourism. As more locals explore the beauty and cultural heritage of their own country, there is a growing need for well-organized and comprehensive travel packages. Additionally, the market is seeing an increase in demand for eco-friendly and sustainable tourism options, reflecting a global trend towards responsible travel practices.

Local special circumstances:
Burkina Faso's unique cultural attractions, such as traditional music and dance festivals, artisan markets, and historical sites, are driving the growth of the package holidays market. Tour operators are capitalizing on these offerings to create specialized packages that showcase the country's rich cultural heritage. Moreover, the country's diverse landscapes, including national parks, waterfalls, and nature reserves, are becoming popular destinations for travelers seeking outdoor adventures.

Underlying macroeconomic factors:
The improving economic conditions in Burkina Faso are contributing to the growth of the package holidays market. With rising disposable incomes and a burgeoning middle class, more people have the financial means to invest in travel experiences. Additionally, government initiatives to promote tourism and infrastructure development are enhancing the overall attractiveness of Burkina Faso as a tourist destination.

Methodology

Data coverage:

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

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
  • Methodology
  • Key Market Indicators
Please wait

Contact

Get in touch with us. We are happy to help.
Statista Locations
Contact Meredith Alda
Meredith Alda
Sales Manager– Contact (United States)

Mon - Fri, 9am - 6pm (EST)

Contact Yolanda Mega
Yolanda Mega
Operations Manager– Contact (Asia)

Mon - Fri, 9am - 5pm (SGT)

Contact Kisara Mizuno
Kisara Mizuno
Senior Business Development Manager– Contact (Asia)

Mon - Fri, 10:00am - 6:00pm (JST)

Contact Lodovica Biagi
Lodovica Biagi
Director of Operations– Contact (Europe)

Mon - Fri, 9:30am - 5pm (GMT)

Contact Carolina Dulin
Carolina Dulin
Group Director - LATAM– Contact (Latin America)

Mon - Fri, 9am - 6pm (EST)