Train Tickets - Kazakhstan

Kazakhstan

Highlights

It is projected that the Train Tickets market in Kazakhstan will generate revenue of US$247.80m by 2024.
As per the estimates, the revenue is expected to grow annually at a rate of 4.13% (CAGR 2024-2029), which would result in a market volume of US$303.40m by 2029.
The number of users in this market is also expected to rise, and reach 3.61m users by 2029.
The user penetration is expected to increase from 15.6% in 2024 to 17.2% by 2029.
The average revenue per user (ARPU) is projected to be US$80.09.
Furthermore, by 2029, it is expected that 77% of the total revenue in the Train Tickets market will be generated through online sales.
In comparison to other countries, it is interesting to note that China is expected to generate the most revenue, with a projected revenue of US$72bn in 2024.
Kazakhstan's train market is experiencing growth due to increased investment in the country's infrastructure and the implementation of the Belt and Road Initiative.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Trains market in Kazakhstan 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 train travel. Additionally, local special circumstances and underlying macroeconomic factors have contributed to the development of the Trains market in Kazakhstan.

Customer preferences: Customer preferences in the Trains market in Kazakhstan have been influenced by several factors. Firstly, there is a growing awareness of the environmental impact of transportation, leading to a shift towards more sustainable modes of travel. Trains are considered to be a greener option compared to other forms of transportation, such as cars or airplanes. This has led to an increased preference for train travel among environmentally-conscious consumers. Furthermore, customer preferences have been shaped by the desire for efficiency and convenience. Trains offer a reliable and time-efficient mode of transportation, especially for long-distance travel within the country. With the development of high-speed rail networks, customers can now reach their destinations faster and more comfortably. This has made train travel a preferred choice for both business and leisure travelers.

Trends in the market: One of the key trends in the Trains market in Kazakhstan is the expansion of the rail network. The government has been investing in the development of new railway lines, connecting different regions of the country. This has not only improved connectivity but has also opened up new opportunities for economic development in previously underserved areas. Another trend in the market is the modernization of existing trains and railway infrastructure. This includes the introduction of high-speed trains, improved passenger amenities, and enhanced safety features. These upgrades have made train travel more attractive and comfortable for customers, further driving the growth of the Trains market in Kazakhstan.

Local special circumstances: Kazakhstan's vast territory and geographical location play a significant role in the development of the Trains market. With its large land area, train travel offers a practical and efficient mode of transportation for both domestic and international journeys. The country's strategic location as a transit hub between Europe and Asia also makes it an important transportation corridor, further boosting the demand for trains. Additionally, the government's focus on promoting domestic tourism has contributed to the growth of the Trains market. Kazakhstan has a rich cultural heritage and diverse landscapes, attracting both domestic and international tourists. The development of tourist-friendly train routes and the provision of comfortable and convenient travel options have made train travel a popular choice among tourists exploring the country.

Underlying macroeconomic factors: The Trains market in Kazakhstan is also influenced by underlying macroeconomic factors. The country has experienced steady economic growth in recent years, leading to an increase in disposable income and consumer spending. This has translated into higher demand for travel and tourism, including train travel. Furthermore, the government's commitment to infrastructure development has played a crucial role in the growth of the Trains market. Investments in railway projects have not only created employment opportunities but have also stimulated economic growth in the construction and manufacturing sectors. In conclusion, the Trains market in Kazakhstan is developing due to changing customer preferences, local special circumstances, and underlying macroeconomic factors. The shift towards more sustainable and efficient modes of transportation, the expansion of the rail network, and the government's focus on infrastructure development have all contributed to the growth of the Trains market in Kazakhstan.

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.