Train Tickets - Ethiopia | Statista Market Forecast

By 2024, the Train Tickets market in Ethiopia is expected to generate revenue worth US$36.01m.
The market is projected to experience an annual growth rate of 12.05%, resulting in a market volume of US$63.60m by 2029.
The number of users in this market is estimated to reach 4.52m users by 2029, while the user penetration is expected to be 2.1% in 2024 and 3.1% by 2029.
The average revenue per user (ARPU) is projected to be US$13.28.
It is anticipated that 26% of the total revenue in this market will be generated through online sales by 2029.
In comparison to other countries, China is expected to generate the highest revenue in the Train Tickets market, with a projection of US$72bn in 2024.
Ethiopia has launched a new railway line connecting the capital city to the port of Djibouti, boosting trade and transportation in the region.

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

The Trains market in Ethiopia is experiencing significant growth and development due to several key factors.

Customer preferences: In Ethiopia, there is a growing demand for efficient and reliable transportation options. Trains offer a convenient and cost-effective mode of transportation for both passengers and goods. With an increasing population and urbanization, there is a need for improved transportation infrastructure, and trains are seen as a viable solution.

Trends in the market: One of the major trends in the Trains market in Ethiopia is the expansion of railway networks. The government has been investing heavily in the development of new railway lines and upgrading existing ones. This has led to improved connectivity between different regions of the country, making it easier for people and goods to travel. Additionally, there is a focus on modernizing the trains themselves, with the introduction of new technologies and amenities to enhance passenger experience. Another trend in the market is the shift towards sustainable transportation. Trains are considered to be a more environmentally friendly mode of transportation compared to cars or planes. This has led to an increased interest in train travel, especially among environmentally conscious consumers. Additionally, the government has been promoting the use of trains as a way to reduce traffic congestion and air pollution in major cities.

Local special circumstances: Ethiopia has a rich cultural heritage and is known for its diverse landscapes, including mountains, lakes, and national parks. This makes train travel an attractive option for tourists who want to explore the country's natural beauty. The government has recognized the potential of tourism and has been investing in the development of tourist train routes, offering scenic journeys and cultural experiences.

Underlying macroeconomic factors: The Trains market in Ethiopia is also influenced by macroeconomic factors. The country has been experiencing steady economic growth in recent years, which has led to an increase in disposable income and improved living standards. This has resulted in a higher demand for transportation services, including train travel. Additionally, the government's focus on infrastructure development and industrialization has created opportunities for the expansion of the Trains market. In conclusion, the Trains market in Ethiopia is growing and developing due to customer preferences for efficient and reliable transportation, the expansion of railway networks, the shift towards sustainable transportation, the country's potential for tourism, and underlying macroeconomic factors such as economic growth and infrastructure development. These factors are driving the demand for trains and shaping the future of the market in Ethiopia.

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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