E-Scooter-sharing - Finland | Statista Market Forecast

Finland is projected to reach a revenue of US$17.22m in the E-Scooter-sharing market by 2024.
The market is expected to show an annual growth rate (CAGR 2024-2029) of 3.77%, resulting in a projected market volume of US$20.72m by 2029.
By 2029, the number of users in this market is expected to be 833.60k users, with a user penetration rate of 15.0%, up from 13.7% in 2024.
The average revenue per user (ARPU) is expected to be US$22.59.
Online sales are projected to generate 100% of the total revenue in this market by 2029.
When compared globally, United States is expected to generate the most revenue (US$730m in 2024).
E-Scooter-sharing is gaining popularity in Finland as an eco-friendly and efficient 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.

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 Finland has seen significant growth in recent years, driven by customer preferences for convenient and sustainable transportation options.

Customer preferences: Customers in Finland value convenience and efficiency when it comes to transportation. E-Scooter-sharing provides a convenient solution for short-distance travel, allowing users to easily navigate through urban areas and avoid traffic congestion. Additionally, the environmentally-friendly nature of e-scooters aligns with the growing trend towards sustainable transportation options.

Trends in the market: One of the key trends in the E-Scooter-sharing market in Finland is the increasing number of players entering the market. Both local and international companies have recognized the potential in the Finnish market and have launched their own e-scooter-sharing services. This competition has led to a wider availability of e-scooters in different cities across the country, providing customers with more options to choose from. Another trend in the market is the integration of e-scooter-sharing services with existing transportation infrastructure. Many cities in Finland have implemented dedicated e-scooter parking zones and charging stations, making it easier for users to find and charge e-scooters. This integration with existing infrastructure improves the overall user experience and encourages more people to adopt e-scooters as a mode of transportation.

Local special circumstances: Finland's well-developed cycling infrastructure and bike-friendly cities have contributed to the growth of the E-Scooter-sharing market. The existing infrastructure provides a safe and convenient environment for e-scooter users, further enhancing the appeal of e-scooters as a transportation option.

Underlying macroeconomic factors: The strong economy and high disposable income levels in Finland have also played a role in the development of the E-Scooter-sharing market. With a relatively affluent population, more people have the means to afford e-scooter rental fees, which has contributed to the market's growth. Additionally, the government's focus on sustainability and reducing carbon emissions has created a favorable environment for the adoption of e-scooters as a sustainable transportation option. In conclusion, the E-Scooter-sharing market in Finland has experienced significant growth due to customer preferences for convenience and sustainability, as well as the integration of e-scooter services with existing transportation infrastructure. The market has also benefited from Finland's well-developed cycling infrastructure and the country's strong economy.

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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