Package Holidays - Chad

Chad

Highlights

It is projected that the Package Holidays market in Chad will generate a revenue of US$30.34m by 2024.
The revenue is anticipated to exhibit a Compound Annual Growth Rate (CAGR 2024-2029) of 2.43%, resulting in a market volume of US$34.22m by 2029.
By 2029, the number of users in the Package Holidays market is expected to reach 238.90k users.
In 2024, the user penetration rate is 1.0%, which is predicted to decrease to 1.1% by 2029.
The Average Revenue Per User (ARPU) is expected to be US$155.40.
It is predicted that 63% of the total revenue in this market will be generated through online sales by 2029.
In terms of global comparison, the country with the highest revenue generated in the Package Holidays market is China, with a revenue of US$49bn expected in 2024.
Despite limited infrastructure and political instability, Chad's package holiday market shows potential for growth due to its diverse landscapes and unique cultural experiences.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Package Holidays market in Chad is witnessing a gradual but steady development, reflecting the growing interest of local consumers in this type of travel experience.

Customer preferences: Chadian consumers are increasingly drawn to the convenience and affordability that package holidays offer. With busy lifestyles and limited time for trip planning, many travelers in Chad are opting for pre-arranged holiday packages that include flights, accommodation, meals, and activities. This shift in consumer behavior is in line with global trends where travelers seek hassle-free and all-inclusive vacation options.

Trends in the market: One notable trend in the Package Holidays market in Chad is the rise of domestic tourism. As more Chadians explore and appreciate the natural beauty and cultural heritage within their own country, there is a growing demand for package holidays that cater to local destinations. This trend not only boosts the domestic tourism sector but also contributes to the overall economic development of Chad.

Local special circumstances: Chad's unique geographical features, such as the diverse landscapes ranging from the Sahara Desert to lush national parks, present opportunities for specialized package holidays catering to different interests. Adventure tours, eco-friendly getaways, and cultural immersion experiences are becoming popular among travelers looking for unique and authentic holiday experiences in Chad.

Underlying macroeconomic factors: The gradual growth of the Package Holidays market in Chad can also be attributed to improving economic conditions and increasing disposable income levels among the population. As more Chadians have the means to invest in leisure travel, the demand for package holidays is expected to continue on an upward trajectory. Additionally, government initiatives to promote tourism and infrastructure development are further supporting the expansion of the travel industry in Chad.

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.