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Train Tickets - China

China
  • It is projected that by 2024, the Train Tickets market in China will generate a revenue of US$71.95bn.
  • The annual growth rate (CAGR 2024-2029) is expected to be 4.14%, resulting in a projected market volume of US$88.14bn by 2029.
  • The number of users in this market is expected to reach 521.80m users by 2029, with a projected user penetration of 32.7% in 2024 and 36.6% by 2029.
  • The average revenue per user (ARPU) is expected to be US$153.70.
  • Moreover, it is projected that by 2029, 79% of the total revenue in the Train Tickets market will be generated through online sales.
  • It is worth noting that China will generate the highest revenue in the global market, with a projected revenue of US$71.95bn in 2024.
  • China's high-speed trains are leading the world in terms of technology, speed, and punctuality.

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.

In-Scope

  • 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

Out-Of-Scope

  • Tickets for public transport, for within a city or other local travel
Train Tickets: market data & analysis - Cover

Market Insights report

Train Tickets: market data & analysis

Study Details

    Revenue

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Sales Channels

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Analyst Opinion

    China is known for its extensive railway network, which is the largest in the world. The Trains market in China has been experiencing significant growth in recent years, driven by several key factors.

    Customer preferences:
    Chinese consumers have shown a strong preference for train travel due to its convenience, comfort, and affordability. Trains are often considered a more reliable and efficient mode of transportation compared to other options such as air travel or driving. Additionally, the high-speed rail network in China has expanded rapidly, allowing for faster and more convenient travel between cities. This has further increased the popularity of train travel among Chinese consumers.

    Trends in the market:
    One of the key trends in the Trains market in China is the increasing demand for high-speed trains. The Chinese government has been investing heavily in the development of high-speed rail infrastructure, resulting in the expansion of the high-speed rail network across the country. This has led to a significant increase in the number of passengers opting for high-speed trains, as they offer faster travel times and greater comfort. Another trend in the market is the growing focus on sustainability and environmental friendliness. Trains are considered a greener mode of transportation compared to cars or airplanes, as they produce fewer greenhouse gas emissions. This has resonated with Chinese consumers, who are becoming more conscious of their environmental impact and are actively seeking out sustainable travel options.

    Local special circumstances:
    China's large population and vast geographical size have contributed to the growth of the Trains market. With a population of over 1.4 billion people, there is a strong demand for efficient and reliable transportation options. Trains provide a practical solution for connecting different regions of the country, allowing for easier movement of people and goods. Furthermore, China's urbanization process has also played a role in the growth of the Trains market. As more people move to cities, there is an increased need for transportation infrastructure to support the growing population. Trains offer a convenient and efficient mode of transportation within cities and between urban areas, helping to alleviate traffic congestion and reduce the reliance on private cars.

    Underlying macroeconomic factors:
    China's rapid economic growth has had a positive impact on the Trains market. As the country's middle class continues to expand, more people have the financial means to travel and explore different parts of the country. This has led to an increase in domestic tourism, driving the demand for train travel. Additionally, the Chinese government's focus on infrastructure development has been a key driver of the Trains market. The government has invested heavily in the expansion and improvement of the railway network, including the construction of high-speed rail lines. These investments have not only improved connectivity within China but have also facilitated trade and economic development. In conclusion, the Trains market in China is experiencing significant growth due to customer preferences for convenience and affordability, the increasing demand for high-speed trains, the focus on sustainability, the country's large population and urbanization process, and the underlying macroeconomic factors such as rapid economic growth and government investments in infrastructure.

    Users

    Most recent update: Jul 2024

    Source: Statista Market Insights

    User Demographics

    Most recent update: Mar 2024

    Sources: Statista Market Insights, Statista Consumer Insights Global

    Global Comparison

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Methodology

    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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    Train Tickets: market data & analysis - BackgroundTrain Tickets: market data & analysis - Cover

    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Sep 2024

    Source: Statista Market Insights

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