Contact
Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 17:00 h (SGT)
Lun - Ven, 10:00 - 18:00 h (JST)
Lun - Ven, 9:00 - 18:00 h (GMT)
Lun - Ven, 9:00 - 18:00 h (EST)
Key regions: South America, Thailand, Germany, China, Malaysia
The Trains market in Germany has been experiencing significant growth in recent years. Customer preferences have shifted towards more sustainable and efficient modes of transportation, leading to increased demand for trains. Additionally, local special circumstances and underlying macroeconomic factors have contributed to the development of the market. Customer preferences in Germany have been influenced by a growing concern for the environment and a desire for more sustainable transportation options. Trains are seen as a greener alternative to cars and planes, as they produce lower carbon emissions per passenger. This has led to a shift in customer preferences towards train travel, especially for shorter distances within the country. Furthermore, trains offer a more comfortable and convenient travel experience compared to other modes of transportation, with amenities such as spacious seating, onboard Wi-Fi, and dining options. These factors have contributed to the increasing popularity of trains among German customers. Trends in the Trains market in Germany have also been influenced by local special circumstances. Germany has a well-developed railway infrastructure, with an extensive network of tracks and stations. This makes train travel a convenient option for both domestic and international journeys. The country is known for its high-speed trains, which provide efficient and fast transportation between major cities. This has further boosted the demand for train travel, as customers value the time-saving aspect of high-speed trains. Additionally, the German government has been investing in the expansion and modernization of railway infrastructure, further driving the growth of the market. Underlying macroeconomic factors have also played a role in the development of the Trains market in Germany. The country has a strong economy and a high standard of living, which allows for greater disposable income and spending on travel. The stability of the German economy has also contributed to increased business travel, as companies are more willing to invest in train tickets for their employees. Furthermore, Germany's central location in Europe makes it a hub for international travel, with many tourists choosing to explore the country by train. These factors have created a favorable market environment for the Trains industry in Germany. In conclusion, the Trains market in Germany is experiencing growth due to customer preferences for sustainable and efficient transportation, as well as local special circumstances and underlying macroeconomic factors. The market is expected to continue developing as more customers choose trains as their preferred mode of travel within the country and beyond.
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.Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 18:00 h (EST)
Lun - Ven, 9:00 - 17:00 h (SGT)
Lun - Ven, 10:00 - 18:00 h (JST)
Lun - Ven, 9:00 - 18:00 h (GMT)
Lun - Ven, 9:00 - 18:00 h (EST)