Key regions: Germany, Indonesia, South America, India, Europe
The Moped-sharing market in EU-27 has been experiencing significant growth in recent years, driven by changing customer preferences and local special circumstances.
Customer preferences: Customers in the EU-27 have shown a growing preference for convenient and cost-effective transportation options. Moped-sharing services offer a flexible and affordable alternative to traditional transportation methods, such as owning a car or using public transportation. With the rise of urbanization and congestion in many cities, customers are seeking efficient ways to navigate through traffic and reach their destinations quickly. Moped-sharing services provide a solution by offering a convenient mode of transportation that allows customers to bypass traffic and easily find parking.
Trends in the market: One of the key trends in the Moped-sharing market in the EU-27 is the increasing adoption of electric mopeds. As sustainability and environmental concerns become more prominent, customers are gravitating towards eco-friendly transportation options. Electric mopeds offer a clean and quiet mode of transportation, making them an attractive choice for customers who prioritize sustainability. This trend is further supported by government initiatives and incentives promoting the use of electric vehicles. Another trend in the market is the expansion of moped-sharing services to smaller cities and rural areas. While initially concentrated in major urban centers, moped-sharing companies are recognizing the untapped potential in less densely populated regions. By expanding their services to these areas, companies can tap into a new customer base that may not have access to other transportation options. This expansion is facilitated by advancements in technology, such as mobile apps and GPS tracking, which make it easier for customers to locate and rent mopeds.
Local special circumstances: The Moped-sharing market in EU-27 is influenced by local special circumstances, such as regulations and infrastructure. Each country within the EU-27 has its own set of rules and regulations governing the operation of moped-sharing services. These regulations can impact the availability and accessibility of moped-sharing services in different regions. Additionally, the quality and availability of infrastructure, such as bike lanes and charging stations, can vary across countries, affecting the viability and growth of moped-sharing services.
Underlying macroeconomic factors: The growth of the Moped-sharing market in EU-27 is also influenced by underlying macroeconomic factors. Economic growth and rising disposable incomes in the region have contributed to increased consumer spending on transportation. Additionally, the COVID-19 pandemic has accelerated the adoption of alternative transportation options, as customers seek safer alternatives to public transportation. The Moped-sharing market has benefited from this shift in consumer behavior, as customers prioritize personal mobility and social distancing. In conclusion, the Moped-sharing market in EU-27 is experiencing growth due to changing customer preferences, such as the demand for convenient and cost-effective transportation options. The market is also influenced by local special circumstances, including regulations and infrastructure. Furthermore, underlying macroeconomic factors, such as economic growth and the impact of the COVID-19 pandemic, have contributed to the expansion of the market. As these trends and factors continue to evolve, the Moped-sharing market in EU-27 is expected to witness further growth and development.
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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