Package Holidays - Uganda

  • Uganda
  • By 2024, the Package Holidays market in Uganda is projected to earn revenue worth US$142.80m.
  • This is expected to grow annually at a rate of 6.87%, resulting in a projected market volume of US$199.10m by 2029.
  • As for the number of users in the Package Holidays market, it is expected to amount to 1.32m users by 2029.
  • In 2024, user penetration is expected to be 1.8%, which is expected to increase to 2.3% by 2029.
  • The average revenue per user (ARPU) is expected to be US$156.50.
  • By 2029, 60% of the total revenue generated in the Package Holidays market in Uganda will be generated through online sales.
  • It's worth noting that in comparison to other countries, China is projected to generate the most revenue with US$49,250m in 2024.
  • Package holidays to Uganda offer travelers a unique opportunity to experience the country's diverse wildlife, natural landscapes, and cultural heritage.

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

 
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Analyst Opinion

The Package Holidays market in Uganda has been experiencing significant growth and development in recent years.

Customer preferences:
Customers in Uganda are increasingly looking for convenient and hassle-free travel options, which has led to a rise in the demand for package holidays. The all-inclusive nature of package holidays appeals to customers who prefer to have their travel itinerary and accommodations taken care of in one booking.

Trends in the market:
One of the notable trends in the Package Holidays market in Uganda is the diversification of offerings to cater to different customer segments. Tour operators are now providing a variety of package options, including family-friendly holidays, adventure packages, and luxury getaways, to meet the evolving demands of travelers in the region. Additionally, there is a growing interest in eco-tourism and sustainable travel practices, influencing the development of package holidays that focus on conservation and community engagement.

Local special circumstances:
Uganda's unique selling points, such as its diverse wildlife, stunning landscapes, and rich cultural heritage, have positioned the country as a desirable destination for tourists seeking authentic experiences. The presence of popular attractions like the Bwindi Impenetrable National Park and the Murchison Falls National Park has further fueled the demand for package holidays that offer opportunities for wildlife safaris and nature exploration.

Underlying macroeconomic factors:
The growth of the Package Holidays market in Uganda can also be attributed to the country's improving infrastructure, which has made it easier for tour operators to access remote destinations and offer a wider range of travel experiences to customers. Additionally, government initiatives to promote tourism and investments in the hospitality sector have contributed to the overall expansion of the tourism industry, driving the demand for package holidays in the country.

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
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