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Key regions: South America, Thailand, Germany, China, Malaysia
The Trains market in Turkmenistan has been experiencing significant growth in recent years.
Customer preferences: Customers in Turkmenistan have shown a strong preference for train travel due to its convenience and affordability. Trains are a popular mode of transportation for both domestic and international travel, offering a comfortable and reliable option for commuters and tourists alike. The availability of modern and well-maintained trains has further contributed to the growing demand for train travel in the country.
Trends in the market: One of the key trends in the Trains market in Turkmenistan is the expansion of railway infrastructure. The government has been investing heavily in the development of new railway lines and upgrading existing ones to accommodate the increasing demand for train travel. This expansion is aimed at improving connectivity within the country and facilitating trade with neighboring countries. Another trend in the market is the introduction of high-speed trains. As the demand for faster and more efficient travel options increases, there has been a growing interest in high-speed trains in Turkmenistan. These trains offer faster travel times and enhanced comfort, making them an attractive option for both business and leisure travelers.
Local special circumstances: Turkmenistan is strategically located at the crossroads of Europe and Asia, making it an important transit hub for goods and passengers. The country's railway network plays a crucial role in facilitating trade and transportation between these two regions. The government recognizes the importance of the railway sector in driving economic growth and has therefore prioritized its development.
Underlying macroeconomic factors: The growing Trains market in Turkmenistan can be attributed to several underlying macroeconomic factors. Firstly, the country has experienced steady economic growth in recent years, leading to an increase in disposable income and a rise in consumer spending. This has resulted in a greater demand for travel and transportation services, including train travel. Secondly, Turkmenistan has been actively promoting tourism as a key driver of economic development. The government has implemented various initiatives to attract both domestic and international tourists, including the development of tourist-friendly infrastructure and the promotion of cultural and historical sites. The Trains market has benefited from this focus on tourism, as trains are often the preferred mode of transportation for tourists exploring the country. In conclusion, the Trains market in Turkmenistan is experiencing significant growth due to customer preferences for convenience and affordability, the expansion of railway infrastructure, the introduction of high-speed trains, the country's strategic location as a transit hub, and underlying macroeconomic factors such as economic growth and the promotion of tourism.
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.Lu - vi, 9:30 - 17:00 h (CET)
Lu - vi, 9:00 - 18:00 h (EST)
Lu - vi, 9:00 - 17:00 h (SGT)
Lu - vi, 10:00 - 18:00 h (JST)
Lu - vi, 9:30 - 17:00 h (GMT)
Lu - vi, 9:00am-6:00pm (EST)