Train Tickets - ASEAN | Statista Market Forecast

According to projections, the Train Tickets market in ASEAN is expected to generate a revenue of US$1.04bn by 2024.
The revenue is anticipated to exhibit a Compound Annual Growth Rate (CAGR) of 2.40% during the period from 2024 to 2029, reaching a market volume of US$1.17bn by the end of 2029.
It is further projected that the number of users in the Train Tickets market will increase to 49.10m users by 2029.
The user penetration rate is estimated to be 6.1% in 2024, which is expected to increase to 6.8% by 2029.
The Average Revenue Per User (ARPU) is expected to be US$24.51.
By 2029, online sales are projected to contribute 61% of the total revenue in the Train Tickets market.
In terms of global comparison, China is predicted to generate the most significant revenue in the Train Tickets market, with US$72bn by 2024.
The development of high-speed rail networks in countries like Thailand and Indonesia is set to revolutionize train travel in ASEAN.

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 ASEAN has been experiencing significant growth in recent years, driven by a combination of customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors.

Customer preferences: Customers in ASEAN have shown a growing preference for trains as a mode of transportation. Trains offer a number of advantages over other modes of transportation, including affordability, reliability, and environmental friendliness. In addition, trains provide a comfortable and convenient travel experience, with amenities such as spacious seating, onboard entertainment, and food and beverage services. These customer preferences have contributed to the increasing demand for trains in the region.

Trends in the market: One of the key trends in the Trains market in ASEAN is the expansion of high-speed rail networks. Countries such as Thailand, Malaysia, and Indonesia have been investing in the development of high-speed rail infrastructure to improve connectivity and reduce travel time between major cities. This trend is driven by the need to accommodate the growing population and increasing urbanization in the region. Additionally, the rise of smart cities and digitalization has led to the integration of technology in train systems, with features such as automated ticketing, real-time information, and Wi-Fi connectivity becoming common.

Local special circumstances: The Trains market in ASEAN is also influenced by local special circumstances. For example, the region's geography, which consists of numerous islands and diverse terrains, makes trains an ideal mode of transportation for connecting different parts of the countries. Additionally, the presence of a large population and the need for efficient transportation solutions in densely populated urban areas have further fueled the demand for trains.

Underlying macroeconomic factors: The Trains market in ASEAN is supported by strong underlying macroeconomic factors. The region has been experiencing steady economic growth, leading to an increase in disposable income and a rise in consumer spending. This has resulted in a higher demand for transportation services, including trains. Furthermore, governments in ASEAN countries have been actively investing in infrastructure development, including the expansion and modernization of railway networks, to support economic growth and enhance regional connectivity. In conclusion, the Trains market in ASEAN is witnessing significant growth due to customer preferences for affordable, reliable, and environmentally friendly transportation options. The expansion of high-speed rail networks, integration of technology in train systems, local special circumstances such as geography and population density, and strong underlying macroeconomic factors are all contributing to the development of the market.

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.

This report presents a comprehensive analysis and additional information on the Mobility market, in a PDF format.