Skip to main content
  1. Market Insights
  2. Mobility
  3. Travel & Tourism

Package Holidays - Chad

Chad

  • Revenue in the Package Holidays market is projected to reach US$*****m in ****.
  • Revenue is expected to show an annual growth rate (CAGR *********) of ****%, resulting in a projected market volume of US$*****m by ****.
  • In the Package Holidays market, the number of users is expected to amount to ******k users by ****.
  • User penetration is projected to be ***% in **** and ***% by ****.
  • The average revenue per user (ARPU) is expected to amount to US$******.
  • In the Package Holidays market, **% of total revenue will be generated through online sales by ****.
  • In global comparison, most revenue will be generated China (US$**bn in ****).

Revenue

Sales Channels

Analyst Opinion

Package Holidays is the second largest of the Travel & Tourism market. The relatively large market size is due to comparably high prices of all services included, like travel and full accommodation, in contrast to the other Travel & Tourism markets. Package Holidays are typically booked when going on vacation for a longer time having a destination far away from home.

Users

Global Comparison

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.

Mobility

Access more Market Insights on Mobility topics with our featured report

Key Market Indicators

We’re happy to help

Get in touch with us for additional information

Feel free to contact us anytime. We will respond to your inquiry as quickly as possible.