Shared Mobility - Peru

Peru

Highlights

By the year 2024, the Shared Mobility market in Peru is anticipated to generate a revenue of US$4.86bn.
Furthermore, the revenue is expected to exhibit an annual growth rate (CAGR 2024-2029) of 1.96%, eventually leading to a projected market volume of US$5.35bn by 2029.
The largest market of this market in Peru is Flights, which is expected to reach a market volume of US$1.75bn in 2024.
The number of users in the Public Transportation market is expected to reach 22.83m users by 2029.
User penetration in 2024 is 77.0% and is anticipated to rise to 79.3% by 2029.
The Average Revenue Per User (ARPU) is expected to be US$182.00.
In terms of online sales, 58% of the total revenue in the Shared Mobility market will be generated online by 2029.
It is worth noting that, in comparison to other countries, China is expected to generate the most revenue, with an estimated revenue of US$365bn in 2024.
Shared Mobility in Peru is gaining popularity due to the country's high traffic congestion and a growing demand for sustainable transportation options.

Key regions:

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.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Shared Mobility market in Peru is experiencing significant growth and development, reflecting a global trend towards alternative transportation options.

Customer preferences: Customers in Peru are increasingly valuing flexibility and convenience when it comes to transportation. Shared Mobility services offer a cost-effective and efficient way to navigate the often congested urban areas in the country. The younger demographic, in particular, is driving the demand for shared mobility solutions as they seek more sustainable and convenient transportation options.

Trends in the market: One notable trend in the Shared Mobility market in Peru is the increasing popularity of ride-hailing services. Companies offering ride-hailing apps have seen a surge in users as more people opt for on-demand transportation. Additionally, the electric scooter and bike-sharing services are gaining traction in major cities as a convenient and eco-friendly way to travel short distances.

Local special circumstances: Peru's unique geography and urban landscape play a significant role in shaping the Shared Mobility market in the country. The presence of hilly terrains in cities like Lima makes it challenging for traditional transportation modes to navigate, creating a demand for more flexible and agile mobility solutions. Additionally, the growing middle class in Peru is driving the adoption of shared mobility services as people seek affordable and efficient ways to commute.

Underlying macroeconomic factors: The growing economy in Peru is contributing to the expansion of the Shared Mobility market. As disposable incomes rise and urbanization continues, more people are looking for convenient and cost-effective transportation options. Additionally, government initiatives to improve infrastructure and promote sustainable transportation are further fueling the growth of shared mobility services in the country.

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.