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Lun - Ven, 9:00 - 18:00 h (EST)
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Key regions: South America, Thailand, Germany, China, Malaysia
The Trains market in Saudi Arabia has been experiencing significant growth in recent years.
Customer preferences: Customers in Saudi Arabia are increasingly opting for train travel due to its convenience and efficiency. Trains offer a faster and more reliable mode of transportation compared to other options such as cars or buses. Additionally, train travel provides a comfortable and spacious environment, making it an attractive choice for both business and leisure travelers.
Trends in the market: One of the key trends in the Saudi Arabian Trains market is the expansion of the railway network. The government has been investing heavily in the development of new rail lines, connecting major cities and regions across the country. This expansion is aimed at improving connectivity and reducing congestion on the roads. As a result, the demand for train travel has been increasing, leading to a growth in the Trains market. Another trend in the market is the introduction of high-speed trains. Saudi Arabia has been investing in high-speed rail infrastructure to cater to the growing demand for faster travel. These high-speed trains offer a comfortable and efficient mode of transportation, attracting more customers to choose train travel over other options. This trend is expected to continue in the coming years, further driving the growth of the Trains market.
Local special circumstances: Saudi Arabia has a large population and a growing economy, which has contributed to the increasing demand for transportation options. The government has recognized the need for efficient and sustainable modes of transportation to support economic growth and improve the quality of life for its citizens. As a result, there has been a focus on developing the railway infrastructure and promoting train travel as a viable option.
Underlying macroeconomic factors: The growth of the Trains market in Saudi Arabia can be attributed to several underlying macroeconomic factors. The country has been investing heavily in infrastructure development, including the railway sector, as part of its Vision 2030 plan. This plan aims to diversify the economy and reduce dependence on oil by promoting sectors such as tourism and transportation. The development of the Trains market aligns with these goals and is expected to contribute to the overall economic growth of the country. Furthermore, the government has implemented policies to encourage private sector participation in the railway industry. This has led to increased investment and innovation in the sector, further driving the growth of the Trains market. In conclusion, the Trains market in Saudi Arabia is experiencing significant growth due to customer preferences for convenience and efficiency, the expansion of the railway network, the introduction of high-speed trains, local special circumstances such as population growth and economic development, and underlying macroeconomic factors such as infrastructure investment and government policies.
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)