Key regions: Germany, Europe, India, Indonesia, United States
The Moped-sharing market in Europe has been experiencing significant growth in recent years. Customer preferences for convenient and affordable transportation options, coupled with the rise of urbanization and environmental consciousness, have contributed to the increasing popularity of moped-sharing services in the region.
Customer preferences: Customers in Europe are increasingly looking for convenient and cost-effective transportation solutions. Moped-sharing services offer a flexible and affordable alternative to traditional modes of transportation such as cars or public transport. The ability to easily locate and unlock mopeds through smartphone apps provides a convenient and seamless experience for users. Additionally, the option to pay per minute or per hour allows customers to only pay for the time they actually use, making it an attractive option for short trips or last-mile connectivity.
Trends in the market: One of the key trends in the moped-sharing market in Europe is the expansion of services to smaller cities and towns. While initially concentrated in major urban centers, moped-sharing companies have recognized the potential demand in less densely populated areas. By expanding their operations to smaller cities and towns, these companies are able to tap into new customer segments and increase their market reach. Another trend in the market is the integration of electric mopeds. As sustainability becomes an increasingly important factor in consumer decision-making, moped-sharing companies are incorporating electric mopeds into their fleets. Electric mopeds not only provide a greener alternative to traditional gasoline-powered mopeds but also offer a quieter and smoother ride. This shift towards electric mopeds aligns with the broader trend towards electrification in the transportation sector and helps moped-sharing companies position themselves as environmentally friendly options.
Local special circumstances: The development of the moped-sharing market in Europe is influenced by local regulations and infrastructure. Some cities have implemented specific regulations to ensure the safe and responsible use of mopeds, such as mandatory helmet use or designated parking areas. Additionally, the availability and quality of infrastructure, such as dedicated moped lanes or charging stations for electric mopeds, can impact the viability and success of moped-sharing services in a particular city or region.
Underlying macroeconomic factors: The growth of the moped-sharing market in Europe is also influenced by broader macroeconomic factors. Factors such as GDP growth, disposable income levels, and employment rates can impact consumer spending and willingness to use moped-sharing services. Additionally, government initiatives and incentives to promote sustainable transportation options can further drive the adoption of moped-sharing services. As Europe continues to prioritize sustainability and urban mobility, the moped-sharing 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 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.
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