Definition:
The Moped-sharing market covers the growing industry of shared moped services, where individuals can rent mopeds for short periods of time. Moped-sharing services typically operate through mobile applications, allowing users to locate nearby mopeds, unlock them using a digital interface, and pay for their usage. To use the service, customers are required to open an account with the moped-sharing provider. Providers normally offer dockless services, so it is possible to find mopeds everywhere within the provider’s business zone and to leave the mopeds 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 Moped-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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Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
The Moped-sharing market in Germany has been experiencing significant growth in recent years.
Customer preferences: One of the main reasons for the growth of the Moped-sharing market in Germany is the increasing preference for sustainable and cost-effective transportation options among customers. Moped-sharing services provide a convenient and affordable alternative to traditional modes of transportation, such as cars or public transportation. Customers appreciate the flexibility and convenience of being able to rent a moped for short trips, especially in urban areas where traffic congestion and limited parking spaces are common.
Trends in the market: The Moped-sharing market in Germany has witnessed several trends that have contributed to its growth. Firstly, there has been a rise in the number of Moped-sharing service providers in the market, leading to increased competition and improved service offerings. This has resulted in more options for customers and better quality of service. Secondly, technological advancements have played a significant role in the growth of the market. Mobile applications and GPS tracking systems have made it easier for customers to locate and rent mopeds. Additionally, digital payment systems have made the rental process more convenient and streamlined. Another trend in the Moped-sharing market in Germany is the expansion of service coverage. Initially, Moped-sharing services were limited to major cities, but they have now expanded to smaller towns and rural areas. This has allowed a wider range of customers to access and benefit from these services.
Local special circumstances: Germany has a well-developed infrastructure and a strong commitment to environmental sustainability. The government has implemented various initiatives to promote the use of clean and sustainable transportation options. This has created a favorable environment for the growth of the Moped-sharing market. Additionally, Germany has a high population density in many urban areas, which makes Moped-sharing services particularly attractive due to their ability to navigate through traffic and find parking easily.
Underlying macroeconomic factors: The Moped-sharing market in Germany is also influenced by underlying macroeconomic factors. The country has a strong economy and a high level of disposable income among its population. This allows people to afford the cost of renting a moped for short trips. Additionally, the rising cost of car ownership, including fuel and maintenance expenses, has made Moped-sharing services a more cost-effective option for many individuals. In conclusion, the Moped-sharing market in Germany is experiencing significant growth due to customer preferences for sustainable and cost-effective transportation options. The market has witnessed trends such as increased competition, technological advancements, and expanded service coverage. Local special circumstances, such as Germany's commitment to environmental sustainability and high population density, have also contributed to the market's growth. Furthermore, underlying macroeconomic factors, such as a strong economy and high disposable income, have made Moped-sharing services an attractive option for many individuals.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Mar 2024
Sources: Statista Market Insights, Statista Consumer Insights Global
Most recent update: Jul 2024
Source: Statista Market Insights
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings and revenues of moped-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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights