Key regions: Germany, Indonesia, South America, India, Europe
The Moped-sharing market in Poland has been experiencing significant growth in recent years.
Customer preferences: One of the main reasons for the growth of the Moped-sharing market in Poland is the increasing preference for eco-friendly and convenient transportation options among customers. With growing concerns about pollution and traffic congestion in urban areas, many people are looking for alternative modes of transportation that are both environmentally friendly and efficient. Moped-sharing services provide a solution to these needs by offering electric mopeds that produce zero emissions and can easily navigate through congested city streets. Additionally, the convenience of being able to pick up and drop off a moped at various locations throughout the city appeals to customers who value flexibility and convenience.
Trends in the market: A key trend in the Moped-sharing market in Poland is the expansion of services to smaller cities and towns. Initially, Moped-sharing services were mainly available in large metropolitan areas, but as the market has grown, operators have recognized the potential in smaller cities where there may be limited public transportation options. By expanding their services to these areas, Moped-sharing companies are able to tap into new customer segments and increase their market reach. Another trend in the market is the integration of Moped-sharing services with other forms of transportation. This includes partnerships with public transportation providers, such as bus and train companies, as well as ride-hailing platforms. By offering seamless connections between different modes of transportation, Moped-sharing companies are able to provide customers with a more comprehensive and convenient travel experience.
Local special circumstances: Poland has a strong cycling culture, with many people using bicycles as a primary mode of transportation. This cultural preference for two-wheeled vehicles has created a favorable environment for the growth of the Moped-sharing market. Many people who are already comfortable riding bicycles are open to trying electric mopeds as an alternative, especially for longer distances or when traveling with heavy loads.
Underlying macroeconomic factors: The growing Moped-sharing market in Poland is also influenced by macroeconomic factors such as urbanization and changing demographics. As more people move to cities and urban areas become denser, the demand for efficient and sustainable transportation options increases. Additionally, younger generations, who are more likely to live in urban areas, tend to prioritize experiences and convenience over vehicle ownership. This demographic shift towards urban living and changing consumer preferences contributes to the growth of the Moped-sharing market. In conclusion, the Moped-sharing market in Poland is experiencing growth due to customer preferences for eco-friendly and convenient transportation options, the expansion of services to smaller cities and towns, the integration of Moped-sharing services with other forms of transportation, the strong cycling culture in Poland, and underlying macroeconomic factors such as urbanization and changing demographics.
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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