Train Tickets - NAFTA | Statista Market Forecast

It is projected that the Train Tickets market in NAFTA will generate a revenue of US$6.06bn by 2024.
The revenue is expected to exhibit an annual growth rate (CAGR 2024-2029) of 1.05%, reaching a projected market volume of US$6.39bn by 2029.
The number of users in this market is expected to reach 36.19m users by 2029.
The user penetration is projected to be 6.6% in 2024 and 6.9% by 2029.
Furthermore, the average revenue per user (ARPU) is expected to be US$179.30.
By 2029, online sales will contribute to 70% of the total revenue generated in the Train Tickets market.
It is worth noting that in comparison to other countries, China is projected to generate the highest revenue of US$72bn in 2024.
The United States' increasing investment in high-speed rail technology is driving the growth of the train market in NAFTA.

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 NAFTA has been experiencing significant growth in recent years, driven by several key factors. Customer preferences have shifted towards more sustainable and efficient modes of transportation, leading to an increased demand for trains. Additionally, local special circumstances and underlying macroeconomic factors have also contributed to the development of the Trains market in NAFTA. Customer preferences in the Trains market have been influenced by a growing concern for the environment and a desire for more sustainable transportation options. Trains offer a greener alternative to cars and airplanes, as they produce fewer emissions and consume less energy. This has led to an increased demand for trains, particularly for long-distance travel within the NAFTA region. Customers are also attracted to the convenience and comfort that trains provide, with amenities such as spacious seating, onboard Wi-Fi, and dining options. Trends in the Trains market in NAFTA have also been shaped by local special circumstances. The NAFTA region is characterized by vast distances and a well-developed railway infrastructure, making trains an efficient mode of transportation for both passengers and freight. The presence of high-speed rail networks in countries like the United States and Canada has further contributed to the growth of the Trains market, as it allows for faster and more efficient travel between major cities. Underlying macroeconomic factors have also played a role in the development of the Trains market in NAFTA. Economic growth and rising disposable incomes have increased the affordability of train travel, making it a more attractive option for customers. Additionally, government investments in railway infrastructure and the promotion of intermodal transportation have further stimulated the growth of the Trains market. These investments have resulted in the expansion of existing rail networks, the introduction of new routes, and the improvement of train services, all of which have contributed to the increased demand for trains. In conclusion, the Trains market in NAFTA is experiencing growth due to shifting customer preferences towards more sustainable transportation options, local special circumstances such as the presence of a well-developed railway infrastructure, and underlying macroeconomic factors such as economic growth and government investments. These factors have created a favorable environment for the development of the Trains market, driving increased demand for train travel within the NAFTA region.

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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