Shared Mobility - India

India

By 2024, the Shared Mobility market in India is expected to generate a revenue of €89,020.00m.
It is further projected to grow annually at a rate of 7.18% resulting in a market volume of €47,820.00m by 2029.
The market's largest market is Flights, which is expected to grow to a market volume of €47,820.00m by 2024.
By 2029, the number of users in the Public Transportation market is expected to reach 1,204.00m users.
In 2024, user penetration is projected to be 76.4%, which is expected to increase to 88.1% by 2029.
The average revenue per user (ARPU) is expected to be €150.40.
Furthermore, it is projected that 71% of the total revenue generated in the Shared Mobility market will be generated through online sales by 2029.
When compared globally, China is projected to generate the most revenue in the Shared Mobility market, with a projected revenue of €338bn by 2024.
India's shared mobility market is experiencing rapid growth due to increasing urbanization and a shift towards sustainable transportation options.

Key regions: United States, Saudi Arabia, Germany, Malaysia, India

Definition:

The Shared Mobility market encompasses a diverse range of long- and short-distance mobility services. As the world moves towards a more connected and digital era, the Shared Mobility market is central to driving innovation, collaboration, and the development of intelligent transportation systems.

Structure:

The market consists of eleven further markets. These include the following markets:

The Car Rentals market contains vehicle rentals that have been booked in person, by telephone via the internet or an app.
The Car-sharing market includes professionally run car-sharing services that provide on-demand access vehicles, allowing users to rent cars for short periods, e.g., by minute or hour.
The Bike-sharing market contains short-term bike-sharing services. Bicycles can be found in the provider’s business zone where they are either parked at designated stations or freely distributed without fixed docks.
The Ride-hailing market encompasses on-demand transportation services facilitated through mobile apps or online platforms. This market covers both private vehicle rides and taxi services, all booked exclusively online.
The Taxi market covers exclusively traditional taxi services booked offline, typically via street hailing or phone calls.
The Flights market contains air travel bookings regardless of the purchase channel, such as an airline's website or a travel agency.
In the Public Transportation market, revenues generated by ticket sales from public transportation companies are considered.

Additional Information:

The main performance indicators of the Shared Mobility market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the above-mentioned markets. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year. Additional definitions for each market can be found within the respective market pages.

The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.

For further information on the data displayed, refer to the info button right next to each box.

Mercado

Región

Comparación de regiones

Moneda

Analyst Opinion

The Shared Mobility market in India has been witnessing significant growth and evolution in recent years.

Customer preferences: Customers in India are increasingly looking for convenient and cost-effective transportation options, leading to a rise in demand for shared mobility services. The younger population, especially in urban areas, prefers on-demand services that offer flexibility and affordability.

Trends in the market: One of the key trends in the Shared Mobility market in India is the rapid adoption of ride-hailing services and bike-sharing platforms. Companies offering these services have been expanding their presence to cater to a larger customer base. Additionally, carpooling and shared bike services are gaining popularity as people look for sustainable and eco-friendly transportation options.

Local special circumstances: India's unique demographic and infrastructural challenges have shaped the Shared Mobility market in the country. The presence of congested roads in major cities has led to a growing need for efficient transportation solutions. Moreover, the government's push towards reducing carbon emissions and promoting electric vehicles is influencing the market dynamics.

Underlying macroeconomic factors: The growing middle-class population with increasing disposable income levels is driving the demand for shared mobility services in India. Additionally, the rise of digital technology and smartphone penetration has made it easier for customers to access and use shared mobility platforms. Moreover, changing lifestyle preferences and a shift towards shared ownership models are contributing to the market growth.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.

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.