Train Tickets - Cameroon | Statista Market Forecast

By 2024, the Train Tickets market in Cameroon is expected to generate a revenue of US$796.50k.
Moreover, it is projected to grow annually by 3.00%, resulting in a market volume of US$923.50k by 2029.
The estimated number of users in this market is expected to be 167.00k users by 2029.
User penetration is projected to increase from 0.5% in 2024 to 0.5% by 2029.
The average revenue per user (ARPU) is expected to be US$5.69.
Furthermore, it is estimated that 54% of the total revenue in the Train Tickets market will be generated through online sales by 2029.
In comparison to other countries, China is predicted to generate the highest revenue in this market, amounting to US$72bn in 2024.
Cameroon's railway market is undergoing modernization with the acquisition of new trains and rehabilitation of existing infrastructure.

Definition:

The Train tickets market consists of tickets for long-distance travel or cross-regional travel by train. This includes country-specific providers of passenger rail transport such as Deutsche Bahn, Amtrak or National Rail. As a rule, travel for single passengers and groups or time-limited subscription based travel can be booked up to a year in advance. Tickets for public transport, for within a city or other local travel are not included.

Additional Information:

The main performance indicators of the Train tickets market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the above-mentioned markets. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year. Additional definitions for each market can be found within the respective market pages.

The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.

For further information on the data displayed, refer to the info button right next to each box.

Tickets for long-distance travel or cross-regional travel by train
Time-limited subscription based travel
Line service and regular train service
All online and offline booked long-distance bus tickets regardless of the purchase channel

Tickets for public transport, for within a city or other local travel

Cameroon, located in Central Africa, has seen a significant development in its Trains market in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this growth. Customer preferences in Cameroon have shifted towards more sustainable and efficient modes of transportation. As a result, there has been an increased demand for trains as a means of travel within the country. Trains offer a cost-effective and environmentally friendly alternative to other forms of transportation, such as cars or buses. Additionally, trains provide a comfortable and convenient option for long-distance travel, which is appealing to many customers. The trends in the Trains market in Cameroon reflect the global shift towards railway transportation. Worldwide, there has been a growing emphasis on expanding railway networks and improving connectivity between cities and regions. Cameroon has followed suit by investing in the development of its railway infrastructure, including the construction of new railway lines and the modernization of existing ones. This has led to an increase in the availability and accessibility of train services in the country. Local special circumstances have also played a role in the development of the Trains market in Cameroon. The country has a diverse geography, with various regions that are well-suited for railway transportation. The construction of railway lines in these areas has not only improved connectivity within Cameroon but also facilitated trade and economic development. Furthermore, the government has implemented policies to promote the use of trains, such as offering subsidies and incentives for train travel. These initiatives have encouraged more people to choose trains as their preferred mode of transportation. Underlying macroeconomic factors have also contributed to the growth of the Trains market in Cameroon. The country has experienced steady economic growth in recent years, which has led to an increase in disposable income among the population. As a result, more people are able to afford train tickets and are willing to invest in the convenience and comfort that trains offer. Additionally, the government's focus on infrastructure development, including railways, has attracted foreign investment and further stimulated the growth of the Trains market. In conclusion, the Trains market in Cameroon has witnessed significant development due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The shift towards sustainable and efficient transportation, the global trend of expanding railway networks, the country's diverse geography, and the government's focus on infrastructure development have all contributed to the growth of the Trains market in Cameroon.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of train tickets.

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, third-party studies and reports, federal statistical offices, industry associations, and price data. 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 demographic data, GDP, consumer spending, internet penetration, and device usage. 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, the S-curve function and exponential trend smoothing methods are applied.

Additional notes:

The data is modeled using current exchange rates. The market is updated twice a year in case market dynamics change.

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