E-Scooter-sharing - Romania | Statista Market Forecast

The E-Scooter-sharing market in Romania is anticipated to witness a significant surge in revenue, with projections showing a staggering growth from US$5.08m in 2024 to US$7.16m by 2029 at an annual growth rate of 7.09% (CAGR 2024-2029).
This growth is attributed to the projected increase in the number of users, which is expected to reach 498.40k users by 2029, with a user penetration rate of 2.2% in 2024 and 2.6% by 2029.
Furthermore, the average revenue per user (ARPU) is expected to be US$11.97.
It is noteworthy that 100% of the total revenue in the E-Scooter-sharing market will be generated through online sales by 2029.
In comparison to other countries, United States is projected to generate the most revenue, with an estimated revenue of US$730m in 2024.
The E-Scooter-sharing market in Romania is rapidly growing due to the country's high traffic congestion and a push for sustainable transportation options.

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 Romania has experienced significant growth in recent years, driven by changing customer preferences, emerging trends, and local special circumstances.

Customer preferences: In Romania, customers have shown a growing preference for convenient and eco-friendly transportation options. E-Scooter-sharing services offer a convenient solution for short-distance travel, allowing users to easily navigate through congested urban areas and avoid traffic jams. The affordability and flexibility of these services have also attracted customers, as they can rent an e-scooter for a short period of time without the need for long-term commitments or ownership.

Trends in the market: One of the key trends in the E-Scooter-sharing market in Romania is the increasing number of market players and the expansion of their service areas. As more companies enter the market, competition intensifies, leading to improved service quality and lower prices for customers. Additionally, companies are expanding their operations beyond major cities to reach a wider customer base, including suburban areas and tourist destinations. Another trend in the market is the integration of e-scooter-sharing services into existing transportation networks. This integration allows users to seamlessly combine e-scooter rides with other modes of transportation, such as buses or trains, to complete their journeys. This trend not only enhances the convenience of e-scooter-sharing services but also promotes sustainable and multimodal transportation options.

Local special circumstances: Romania's urban centers, such as Bucharest and Cluj-Napoca, face challenges related to traffic congestion and limited parking spaces. E-Scooter-sharing services provide a solution to these issues by offering a compact and efficient mode of transportation that can be easily parked and accessed in crowded areas. The relatively flat terrain of many Romanian cities also makes e-scooters a practical and enjoyable mode of transportation for residents and tourists alike.

Underlying macroeconomic factors: The growth of the E-Scooter-sharing market in Romania is also influenced by underlying macroeconomic factors. The country has experienced steady economic growth in recent years, leading to increased disposable income and a higher standard of living for many Romanians. This economic prosperity has contributed to the rising demand for convenient and sustainable transportation options, including e-scooter-sharing services. In conclusion, the E-Scooter-sharing market in Romania is developing rapidly due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. As customers increasingly prioritize convenience, affordability, and sustainability, the market is expected to continue its growth trajectory in the coming years.

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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