E-Scooter-sharing - NAFTA | Statista Market Forecast

In NAFTA, the revenue for the E-Scooter-sharing market is projected to reach US$771.70m by 2024.
The revenue is expected to grow annually at a rate of 3.31%, resulting in a projected market volume of 100%US$771.70m by 2029.
By 2029, the E-Scooter-sharing market is expected to have 33.07m users users, with a user penetration rate of 6.3%, compared to 5.9% in 2024.
The Average Revenue Per User (ARPU) is expected to be US$25.54.
In NAFTA, 100% of the total revenue in the E-Scooter-sharing market will be generated through online sales by 2029.
Among all countries, United States is expected to generate the highest revenue, with US$730m in 2024, in the E-Scooter-sharing market.
E-Scooter-sharing is gaining popularity in NAFTA countries as an eco-friendly and convenient mode of transportation for short distances.

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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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 NAFTA is experiencing significant growth and development.

Customer preferences: Customers in the NAFTA region are increasingly opting for e-scooter-sharing services due to their convenience, affordability, and environmental benefits. E-scooters provide a flexible and efficient mode of transportation, particularly for short-distance trips in urban areas. Additionally, the ease of use and accessibility of e-scooter-sharing apps have made them popular among tech-savvy customers who value convenience and seamless user experiences.

Trends in the market: One of the key trends in the E-Scooter-sharing market in NAFTA is the rapid expansion of service providers. Numerous companies have entered the market, offering a wide range of e-scooter-sharing options to customers. This increased competition has led to innovations in technology and improved service quality, as companies strive to differentiate themselves and attract more customers. Furthermore, partnerships between e-scooter-sharing companies and local governments have become more common, as cities recognize the potential of e-scooters to alleviate traffic congestion and reduce carbon emissions.

Local special circumstances: The E-Scooter-sharing market in NAFTA is influenced by various local factors. For example, the presence of well-developed transportation infrastructure in certain cities has contributed to the success of e-scooter-sharing services. In these areas, customers have access to a network of bike lanes and dedicated parking spaces for e-scooters, making it easier and safer for them to use these services. Additionally, the cultural acceptance of alternative transportation modes and the prevalence of eco-conscious attitudes among customers have also played a role in the growth of the e-scooter-sharing market in NAFTA.

Underlying macroeconomic factors: The growth of the E-Scooter-sharing market in NAFTA can be attributed to several macroeconomic factors. Firstly, the increasing urbanization in the region has led to a higher demand for efficient and sustainable transportation options. As cities become more crowded and congested, customers are seeking alternatives to traditional modes of transportation, such as cars or public transit. Additionally, the rising awareness of environmental issues and the need to reduce carbon emissions have prompted customers to embrace e-scooter-sharing services as a greener transportation option. Lastly, the advancements in technology and the widespread adoption of smartphones have made it easier for customers to access and use e-scooter-sharing services, further driving the growth of the market in NAFTA.

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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