E-Scooter-sharing - Denmark | Statista Market Forecast

Denmark is expected to witness a significant growth in the E-Scooter-sharing market.
By 2024, the projected revenue in this market is estimated to be US$14.58m.
Moreover, this revenue is expected to exhibit an annual growth rate (CAGR 2024-2029) of 3.87%, culminating in a projected market volume of US$17.63m by 2029.
The number of users in this market is also expected to increase and reach 903.50k users by 2029.
In 2024, the user penetration is projected to be 13.5%, while by 2029, it is expected to increase to 14.9%.
The average revenue per user (ARPU) is anticipated to be US$18.23.
In the E-Scooter-sharing market, 100% of the total revenue will be generated through online sales by 2029.
In comparison to other countries, United States is likely to generate the highest revenue in the E-Scooter-sharing market.
The projected revenue United States by 2024 is US$730m.
Denmark's E-Scooter-sharing market is gaining momentum, with a focus on sustainable 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 Denmark has witnessed significant growth in recent years, driven by changing customer preferences and favorable market trends.

Customer preferences: Customers in Denmark are increasingly looking for convenient and sustainable transportation options, which has led to a growing demand for E-Scooter-sharing services. The ease of use and flexibility offered by E-Scooters, along with their eco-friendly nature, have made them popular among urban dwellers. Additionally, the younger generation, who are more tech-savvy, are particularly attracted to the convenience and affordability of E-Scooter-sharing services.

Trends in the market: One of the key trends in the E-Scooter-sharing market in Denmark is the integration of E-Scooters with existing public transportation systems. This allows customers to seamlessly switch between different modes of transportation, providing them with a more efficient and convenient travel experience. Furthermore, the use of advanced technologies, such as GPS tracking and mobile applications, has made it easier for customers to locate and rent E-Scooters, further contributing to the growth of the market.

Local special circumstances: Denmark's well-developed infrastructure and bike-friendly culture have played a significant role in the growth of the E-Scooter-sharing market. The country's extensive network of bike lanes and cycling infrastructure has made it easier for E-Scooters to navigate through urban areas, attracting more customers. Additionally, the government's support for sustainable transportation initiatives and the promotion of electric vehicles have created a favorable environment for the E-Scooter-sharing market to thrive.

Underlying macroeconomic factors: The E-Scooter-sharing market in Denmark is also influenced by underlying macroeconomic factors. The country's strong economy and high disposable income levels have made it easier for customers to afford E-Scooter rentals. Moreover, the increasing urbanization and population density in major cities have created a higher demand for alternative transportation options, leading to the growth of the E-Scooter-sharing market. In conclusion, the E-Scooter-sharing market in Denmark is experiencing significant growth due to changing customer preferences, favorable market trends, local special circumstances, and underlying macroeconomic factors. The convenience, sustainability, and integration with existing transportation systems have made E-Scooters a popular choice among customers in Denmark. With the government's support for sustainable transportation initiatives and the country's bike-friendly culture, the E-Scooter-sharing market is expected to continue its upward 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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