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Train Tickets - Hungary

Hungary

By 2024, in Hungary is projected to generate a revenue of US$67.63m in the Train Tickets market.
This market is expected to show a Compound Annual Growth Rate (CAGR 2024-2028) of -0.02%, resulting in a projected market volume of US$67.58m by 2028.
The projected number of users in the Train Tickets market is expected to amount to 1.27m users by 2028.
In 2024, the user penetration is projected to be 12.3% and it is expected to reach 13.1% by 2028.
The average revenue per user (ARPU) is expected to amount to US$54.78.
By 2028, 71% of the total revenue in the Train Tickets market will be generated through online sales.
It is noteworthy that, in global comparison, China is expected to generate the most revenue in this market, amounting to US$72,940m in 2024.
Hungary's railway system is undergoing modernization efforts, with the introduction of new rolling stock and the renovation of existing infrastructure.

Key regions: United States, South America, Europe, Indonesia, Saudi Arabia

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Analyst Opinion

The Trains market in Hungary has been experiencing steady growth in recent years. Customer preferences, local special circumstances, and underlying macroeconomic factors have all contributed to this positive trend. Customer preferences in Hungary have shifted towards more sustainable and environmentally-friendly modes of transportation. Trains are seen as a greener alternative to cars and airplanes, as they produce lower carbon emissions per passenger. Additionally, trains offer a convenient and comfortable travel experience, with amenities such as spacious seating, onboard Wi-Fi, and dining options. These factors have made trains an attractive choice for both domestic and international travel. Trends in the market indicate that the demand for train travel in Hungary is increasing. The government has been investing in the expansion and modernization of the railway infrastructure, which has led to improved connectivity and shorter travel times. This has made train travel more convenient and efficient, further driving the demand. In addition, the introduction of high-speed trains has attracted more passengers, as they offer faster travel times between major cities. Local special circumstances in Hungary have also contributed to the growth of the Trains market. The country's central location in Europe makes it a transit hub for both passengers and freight. This has led to an increase in international train travel, as Hungary serves as a gateway to other European countries. The government has recognized the importance of this role and has implemented policies to encourage cross-border train connections, further boosting the market. Underlying macroeconomic factors have also played a role in the development of the Trains market in Hungary. The country's strong economic growth has led to an increase in disposable income, allowing more people to afford train travel. Additionally, the growth of the tourism industry has led to an influx of international visitors, who often choose trains as their preferred mode of transportation within the country. These factors have created a favorable market environment for the Trains industry in Hungary. In conclusion, the Trains market in Hungary is experiencing growth due to customer preferences for sustainable transportation, improved infrastructure and connectivity, local special circumstances as a transit hub, and strong macroeconomic factors. These factors have created a positive market environment and are expected to continue driving the growth of the Trains industry in Hungary.

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.