Train Tickets - India

India

Highlights

By 2024, the Train Tickets market in India is expected to generate a revenue of US$16.44bn.
Furthermore, the revenue is predicted to exhibit a Compound Annual Growth Rate (CAGR 2024-2029) of 5.35%, leading to an estimated market volume of US$21.33bn by 2029.
The number of users in this market is projected to reach 203.50m users by 2029, with a user penetration rate of 11.3% in 2024 and 13.5% by 2029.
The Average Revenue Per User (ARPU) is anticipated to reach US$100.50.
Additionally, it is predicted that 58% of the total revenue in the Train Tickets market will be generated through online sales by 2029.
It is noteworthy that in a global comparison, China is expected to generate the highest revenue of US$72bn in 2024.
India's train market is experiencing a shift towards high-speed rail, with the government investing heavily in infrastructure and technology.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Trains market in India has witnessed significant growth in recent years, driven by a combination of customer preferences, market trends, local special circumstances, and underlying macroeconomic factors.

Customer preferences: Indian customers have shown a strong preference for train travel due to its affordability, convenience, and extensive network. Trains are often the preferred mode of transportation for long-distance travel, especially for middle-class and budget-conscious travelers. Additionally, the Indian Railways has made efforts to improve the passenger experience by introducing modern amenities and services on trains, further enhancing customer satisfaction.

Trends in the market: One of the key trends in the Indian Trains market is the increasing demand for high-speed trains. The government has initiated several projects to introduce high-speed rail corridors, such as the Mumbai-Ahmedabad bullet train project. These projects aim to reduce travel time and improve connectivity between major cities, catering to the growing demand for faster and more efficient transportation options. Another trend in the market is the adoption of technology to enhance the railway infrastructure and services. The introduction of online booking platforms, mobile ticketing apps, and real-time train tracking systems has made it easier for customers to plan their journeys and access information. This digital transformation has not only improved the overall customer experience but also increased operational efficiency for the Indian Railways.

Local special circumstances: India's vast population and geographical diversity present unique challenges and opportunities for the Trains market. The extensive railway network in the country connects even remote areas, providing an essential mode of transportation for millions of people. The Indian Railways plays a crucial role in bridging the urban-rural divide and facilitating economic growth by enabling the movement of goods and people across different regions. Moreover, the Indian government has been actively promoting the development of the Trains market through various initiatives. The "Make in India" campaign, for example, aims to boost domestic manufacturing and encourage foreign investment in the railway sector. These efforts have not only stimulated the growth of the Trains market but also created employment opportunities and contributed to the overall economic development of the country.

Underlying macroeconomic factors: India's rapidly growing economy and expanding middle class have contributed to the increasing demand for train travel. As disposable incomes rise, more people are opting for train journeys for both leisure and business purposes. The Trains market has also benefited from the government's focus on infrastructure development, which includes the expansion and modernization of railway networks. Additionally, the Trains market in India has been positively influenced by the government's emphasis on sustainable and eco-friendly transportation. Trains are considered a greener alternative to other modes of transportation, such as cars or airplanes, as they emit fewer greenhouse gases per passenger-kilometer traveled. This aligns with the government's commitment to reducing carbon emissions and promoting sustainable development. In conclusion, the Trains market in India is experiencing growth due to customer preferences for affordability and convenience, the adoption of technology, local special circumstances, and underlying macroeconomic factors. The increasing demand for high-speed trains, the government's infrastructure development initiatives, and the focus on sustainable transportation are driving the market forward. As India continues to develop and modernize its railway network, the Trains market is expected to further expand and contribute to the country's overall economic growth.

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.