Definition:
The E-Scooter-sharing market comprises e-scooter-sharing services that provide short-term rentals of electric motorized scooters (stand-up scooters). In e-scooter-sharing, scooters are generally owned by an e-scooter-sharing provider and can be reserved independently by customers around the clock. Customers are required to open an account with the e-scooter-sharing provider and can then reserve the vehicles, typically with a smartphone app. Providers normally offer dockless services, so it is possible to find e-scooters everywhere within the provider’s business zone, e.g., on sidewalks, and to leave the scooters anywhere in accordance with traffic regulations. Moped-sharing services are not available in all countries; thus, only a limited number of countries and regions can be selected.
Additional Information:
The main performance indicators of the E-Scooter-sharing 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.
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Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
The E-Scooter-sharing market in LATAM has experienced significant growth in recent years, driven by customer preferences for convenient and eco-friendly transportation options.
Customer preferences: Customers in LATAM are increasingly seeking transportation options that are convenient, cost-effective, and environmentally friendly. E-Scooter-sharing services provide a solution to these preferences by offering a convenient mode of transportation that can be easily accessed and used for short trips within cities. Additionally, the affordability of e-scooter rentals compared to other modes of transportation, such as taxis or ride-hailing services, makes them an attractive option for many customers in the region.
Trends in the market: One of the key trends in the E-Scooter-sharing market in LATAM is the rapid expansion of service providers. Numerous companies have entered the market, competing to capture a share of the growing demand for e-scooter rentals. This has led to increased availability of e-scooters in major cities across the region, making them easily accessible to customers. Another trend in the market is the integration of e-scooter-sharing services with existing transportation infrastructure. Many cities in LATAM have implemented bike lanes and dedicated parking spaces for e-scooters, making it easier for customers to use and park the vehicles. This integration with existing infrastructure has contributed to the popularity of e-scooter-sharing services and their widespread adoption by customers.
Local special circumstances: LATAM has unique characteristics that contribute to the development of the E-Scooter-sharing market. The region has a high population density in many urban areas, which creates a demand for efficient and convenient transportation options. Additionally, the relatively warm climate in many parts of LATAM makes e-scooters an appealing choice for short trips, as customers can enjoy the outdoors while commuting.
Underlying macroeconomic factors: Several macroeconomic factors have also contributed to the growth of the E-Scooter-sharing market in LATAM. The region has experienced economic growth in recent years, leading to an increase in disposable income for many individuals. This has allowed more customers to afford e-scooter rentals and contribute to the market's expansion. Furthermore, concerns about air pollution and the environmental impact of traditional modes of transportation have driven the demand for eco-friendly alternatives. E-Scooter-sharing services provide a greener option for transportation, aligning with the growing awareness and emphasis on sustainability in the region. In conclusion, the E-Scooter-sharing market in LATAM is developing rapidly due to customer preferences for convenient and eco-friendly transportation options. The expansion of service providers, integration with existing infrastructure, and unique local circumstances have contributed to the market's growth. Additionally, underlying macroeconomic factors, such as economic growth and environmental concerns, have further fueled the demand for e-scooter rentals in the region.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-sharing 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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights