E-Scooter-sharing - Greece | Statista Market Forecast

According to recent projections, the revenue in Greece's E-Scooter-sharing market is expected to reach US$1.77m by 2024.
The revenue is anticipated to exhibit an annual growth rate (CAGR 2024-2029) of 4.50%, resulting in a projected market volume of US$2.21m by 2029.
In terms of the number of users, the E-Scooter-sharing market in Greece is expected to amount to 128.70k users by 2029, with user penetration projected to be 1.1% in 2024 and 1.3% by 2029.
The average revenue per user (ARPU) is also expected to reach US$15.12.
By 2029, 100% of total revenue in the E-Scooter-sharing market in Greece will be generated through online sales.
It is worth noting that in global comparison, United States is expected to generate the most revenue, with US$730m in 2024.
E-Scooter-sharing is gaining popularity in Greece as a convenient and eco-friendly way to navigate the country's bustling cities.

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 Greece has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of this industry.

Customer preferences: Customers in Greece have shown a growing preference for alternative modes of transportation, such as e-scooters. This can be attributed to several factors, including the convenience and flexibility of e-scooters for short-distance travel, as well as their affordability compared to other transportation options. Additionally, the younger generation has shown a particular interest in using e-scooters as a sustainable and eco-friendly mode of transportation.

Trends in the market: One of the key trends in the e-scooter-sharing market in Greece is the increasing number of companies entering the market. This has led to a higher level of competition, which in turn has resulted in more options for customers and lower prices. Additionally, there has been a shift towards dockless e-scooter-sharing systems, where users can pick up and drop off e-scooters anywhere within a designated area. This has increased the convenience and accessibility of e-scooters for customers.

Local special circumstances: Greece has a unique geographical landscape, with many cities having narrow streets and limited parking spaces. This makes e-scooters an ideal mode of transportation for navigating through congested areas and finding parking easily. Furthermore, Greece has a significant tourist industry, with millions of visitors each year. E-scooters provide an efficient and convenient way for tourists to explore the cities and tourist attractions.

Underlying macroeconomic factors: The growing e-scooter-sharing market in Greece can also be attributed to underlying macroeconomic factors. The country has been recovering from a financial crisis in recent years, and as the economy improves, people have more disposable income to spend on leisure activities, including e-scooter rentals. Additionally, the government has been supportive of the sharing economy and has implemented policies to encourage its growth, including regulations that promote the use of e-scooters as a sustainable mode of transportation. In conclusion, the e-scooter-sharing market in Greece has been growing due to customer preferences for alternative transportation options, the increasing number of companies entering the market, the unique local circumstances in Greece, and the underlying macroeconomic factors. As these trends continue, it is likely that the e-scooter-sharing market in Greece will continue to expand 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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