Ride-hailing - India

  • India
  • India is projected to witness a substantial growth in the Ride-hailing market in the coming years.
  • It is estimated that the revenue in this market will rise to €6.99bn in 2024.
  • Furthermore, the market volume is expected to reach €10.91bn by 2029, displaying an annual growth rate of 9.31% during the period of 2024-2029.
  • As of 2029, the number of users in the Ride-hailing market is predicted to be 380.60m users.
  • The user penetration rate is expected to increase from 18.6% in 2024 to 25.3% in 2029.
  • The average revenue per user (ARPU) is anticipated to be €26.05.
  • The Ride-hailing market is an online-only market.
  • In comparison to other countries, China is expected to generate the highest revenue of €55,230m in 2024.
  • India's Ride-hailing market is fiercely competitive, with local players like Ola holding a significant market share against global giant Uber.

Key regions: South America, Europe, China, Saudi Arabia, Malaysia

 
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Analyst Opinion

India, known for its bustling cities and diverse culture, has seen a significant rise in the popularity of ride-hailing services in recent years. With the convenience and affordability they offer, it's no wonder that more and more people are choosing to hail a ride rather than rely on traditional transportation methods.

Customer preferences:
One of the key reasons for the growing popularity of ride-hailing services in India is the convenience they provide. With just a few taps on their smartphones, customers can easily book a ride and be on their way. This ease of use has made ride-hailing services a preferred choice for many Indians, especially those living in busy urban areas where traffic congestion and parking can be major challenges. Another factor driving the demand for ride-hailing services in India is affordability. Ride-hailing companies often offer competitive pricing, making it an attractive option for budget-conscious customers. Additionally, the availability of various ride options, such as shared rides or economy cars, allows customers to choose the option that best fits their budget.

Trends in the market:
One notable trend in the Indian ride-hailing market is the increasing adoption of two-wheeler ride-hailing services. This trend has gained traction particularly in cities where traffic congestion is a major issue. Two-wheeler ride-hailing services not only offer a faster mode of transportation but also provide a cost-effective alternative to four-wheeler rides. This trend has been further fueled by the rise of bike-sharing platforms, which allow customers to rent bikes for short trips. Another trend in the Indian ride-hailing market is the integration of additional services within the ride-hailing apps. Many ride-hailing companies have expanded their offerings to include services such as food delivery, grocery delivery, and even healthcare services. This diversification of services aims to provide customers with a one-stop solution for their everyday needs and increase customer loyalty.

Local special circumstances:
India's unique transportation landscape, with its diverse mix of public and private transportation options, has created a favorable environment for the growth of ride-hailing services. The country's large population, rapid urbanization, and increasing disposable income have all contributed to the demand for convenient and affordable transportation solutions. Furthermore, the Indian government has also played a role in promoting the growth of the ride-hailing market. Initiatives such as the Digital India campaign and the promotion of cashless transactions have made it easier for ride-hailing companies to operate and expand their user base. Additionally, the government's focus on reducing carbon emissions and promoting sustainable transportation has encouraged the adoption of ride-hailing services as an alternative to private car ownership.

Underlying macroeconomic factors:
Several macroeconomic factors have contributed to the development of the ride-hailing market in India. The country's strong economic growth, rising urbanization, and increasing middle-class population have all created a favorable environment for the expansion of ride-hailing services. Additionally, the widespread adoption of smartphones and the availability of affordable mobile data plans have made ride-hailing apps accessible to a large segment of the population. In conclusion, the ride-hailing market in India has experienced significant growth due to customer preferences for convenience and affordability. The market has also witnessed trends such as the rise of two-wheeler ride-hailing services and the integration of additional services within ride-hailing apps. Local special circumstances, such as India's transportation landscape and government initiatives, have further fueled the growth of the market. Lastly, underlying macroeconomic factors, including strong economic growth and increasing smartphone penetration, have played a crucial role in the development of the ride-hailing market in India.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of ride-hailing services.

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.

Visión general

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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