Ride-hailing - Chile | Statista Market Forecast

Chile is projected to witness a significant growth in the Ride-hailing market in the upcoming years.
Specifically, revenue in this market is forecasted to reach US$265.00m by 2024, with an annual growth rate of 6.24% from 2024 to 2029, resulting in a projected market volume of US$358.70m by 2029.
Moreover, it is expected that the number of users will reach 7.64m users by 2029, with user penetration projected to be 31.1% in 2024 and 38.4% by 2029.
The average revenue per user (ARPU) is expected to amount to US$43.35.
The Ride-hailing market is an online-only market.
It is worth noting that, in global comparison, China is expected to generate the most revenue in the Ride-hailing market, with a projected revenue of US$60bn in 2024.
In Chile, the Ride-hailing market is dominated by Uber and DiDi.

Definition:

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. It includes Transportation Network Companies (TNCs), such as Uber and Lyft, traditional taxis booked via apps, such as Free Now or Cabify, and ride-pooling services, such as Moia and Via. This market excludes peer-to-peer ride-sharing, focusing on professionally operated transport services booked digitally for efficient and convenient urban mobility. Rides of traditional taxi services hailed on the street or booked via telephone are not included in this market.

Additional Information:

The main performance indicators of the Ride-hailing 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 mentioned market. 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.

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.

Platforms that let users book rides offered by drivers using their private vehicles (e.g., Uber)
Taxi companies that offer their services through an app (e.g., Free Now)
Platforms that offer shared rides (ride-pooling) with other passengers (e.g., Moia, Via)

Traditional taxi rides booked offline with taxi companies (via street-hailing or by telephone)

The Ride-hailing market in Chile has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of this industry. Customer preferences in Chile have shifted towards convenience and efficiency, which has fueled the demand for ride-hailing services. With busy lifestyles and a desire for seamless transportation options, consumers are increasingly turning to ride-hailing platforms to meet their transportation needs. The ability to request a ride with just a few taps on a smartphone and the convenience of cashless payments have made ride-hailing a popular choice among Chilean consumers. Trends in the market have also played a role in the growth of the ride-hailing industry in Chile. The emergence of ride-hailing platforms has disrupted the traditional taxi industry, offering consumers more choices and competitive pricing. This increased competition has led to improved service quality and innovation in the industry. Ride-hailing companies have introduced features such as real-time tracking, driver ratings, and safety measures to enhance the customer experience and build trust. Local special circumstances in Chile have further contributed to the development of the ride-hailing market. The country's urban areas, such as Santiago, have high population densities and traffic congestion, making traditional transportation options less attractive. Ride-hailing services provide a convenient and efficient alternative to private car ownership and public transportation, particularly for short-distance trips. Additionally, the rise of the sharing economy and the increasing popularity of flexible work arrangements have created opportunities for individuals to become ride-hailing drivers, further fueling the growth of the industry. Underlying macroeconomic factors have also played a role in the development of the ride-hailing market in Chile. The country has experienced steady economic growth in recent years, leading to an increase in disposable income and consumer spending. This has allowed more Chileans to afford ride-hailing services and contributed to the expansion of the market. In conclusion, the Ride-hailing market in Chile has experienced significant growth due to customer preferences for convenience and efficiency, trends in the market such as increased competition and innovation, local special circumstances such as high population densities and traffic congestion, and underlying macroeconomic factors such as steady economic growth. These factors have created a favorable environment for the ride-hailing industry to thrive in Chile.

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.

This report presents a comprehensive analysis and additional information on the Mobility market, in a PDF format.