E-Scooter-sharing - Colombia | Statista Market Forecast

Colombia is expected to see a significant increase in revenue within the E-Scooter-sharing market, with projections estimating it to reach US$4.13m by 2024.
The annual growth rate (CAGR 2024-2029) is expected to be 5.99%, resulting in a projected market volume of US$5.52m by 2029.
Additionally, the number of users is projected to increase to 319.40k users by 2029, with user penetration estimated to be 0.5% in 2024 and 0.6% by 2029.
The average revenue per user (ARPU) is expected to be US$15.42.
It is projected that 100% of the total revenue will be generated through online sales by 2029.
In comparison to other countries, United States is expected to generate the most revenue within the E-Scooter-sharing market, with a projection of US$730m in 2024.
Colombia's E-Scooter-sharing market is on the rise, driven by the need for efficient and eco-friendly transportation options in urban areas.

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.

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

Free-floating e-scooter-sharing services
Services such as Lime, Tier, Bird, and Movo

Private e-scooter usage
Multi-day e-scooter rentals
Peer-to-peer e-scooter reservations
Bike sharing and other forms of micro-mobility

The E-Scooter-sharing market in Colombia is experiencing significant growth and development.

Customer preferences: Colombian customers are increasingly opting for e-scooter-sharing services due to their convenience and affordability. The younger population, in particular, is attracted to the ease of use and the ability to navigate through congested urban areas quickly. Additionally, the environmentally friendly nature of e-scooters aligns with the growing sustainability consciousness among consumers.

Trends in the market: One of the key trends in the e-scooter-sharing market in Colombia is the entry of multiple players. Several local and international companies have entered the market, leading to increased competition and innovation. This has resulted in improved services, such as better app interfaces, longer battery life, and enhanced safety features. Another trend is the expansion of e-scooter-sharing services beyond major cities. Initially, these services were concentrated in urban centers, but they are now expanding to smaller cities and towns. This expansion is driven by the increasing demand for last-mile transportation solutions in these areas.

Local special circumstances: Colombia's urban areas face significant traffic congestion, making e-scooters an attractive alternative to traditional modes of transportation. The compact size and maneuverability of e-scooters allow users to navigate through traffic more efficiently, saving time and reducing frustration. Additionally, the warm climate in Colombia makes e-scooters a popular choice for short-distance travel. The pleasant weather encourages people to choose outdoor transportation options, and e-scooters provide a convenient and enjoyable way to get around.

Underlying macroeconomic factors: Colombia's growing middle class and increasing urbanization have contributed to the development of the e-scooter-sharing market. As more people move to cities and experience the challenges of urban transportation, there is a greater demand for alternative mobility solutions. Furthermore, the government's support for sustainable transportation initiatives has played a role in the growth of the e-scooter-sharing market. Policies promoting eco-friendly transportation options and reducing carbon emissions have encouraged the adoption of e-scooters as a viable mode of transportation. In conclusion, the e-scooter-sharing market in Colombia is witnessing rapid growth due to customer preferences for convenience and affordability, as well as the expansion of services beyond major cities. The local special circumstances of traffic congestion and a warm climate further contribute to the popularity of e-scooters. Additionally, underlying macroeconomic factors, such as urbanization and government support for sustainable transportation, are driving the market's development.

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.

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