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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in France has been experiencing significant growth in recent years.
Customer preferences: One of the key reasons for the growth of the Bike-sharing market in France is the changing preferences of customers. With increasing awareness about environmental issues and the need for sustainable transportation options, more and more people in France are opting for bike-sharing services. This trend is particularly popular among urban dwellers who are looking for convenient and cost-effective ways to commute within the city. Additionally, the rise of health and fitness consciousness among the population has also contributed to the growing demand for bike-sharing services.
Trends in the market: The Bike-sharing market in France is witnessing several trends that are driving its growth. Firstly, there has been a proliferation of bike-sharing companies in the country, offering a wide range of services to cater to different customer needs. These companies are not only providing traditional bike-sharing services but also introducing innovative features such as electric bikes and dockless systems. This diversification of services has attracted a larger customer base and increased the overall demand for bike-sharing in France. Another trend in the market is the integration of bike-sharing services with other modes of transportation. Many cities in France have implemented bike-sharing programs as part of their public transportation systems, allowing customers to easily switch between bikes and other modes of transport such as buses and trains. This integration has made bike-sharing a more convenient and seamless option for commuters, further boosting its popularity.
Local special circumstances: France has a strong cycling culture, with a significant portion of the population regularly using bicycles for transportation and recreation. This cultural affinity towards cycling has created a favorable environment for the growth of the Bike-sharing market. Additionally, the country's well-developed infrastructure, including dedicated cycling lanes and bike-friendly urban planning, has made it easier for bike-sharing companies to operate and attract customers.
Underlying macroeconomic factors: The growth of the Bike-sharing market in France is also influenced by macroeconomic factors. The country's stable economy and high disposable income levels have made it possible for people to afford bike-sharing services. Furthermore, government initiatives promoting sustainable transportation and reducing carbon emissions have provided a supportive regulatory environment for bike-sharing companies to thrive. In conclusion, the Bike-sharing market in France is experiencing significant growth due to changing customer preferences, the emergence of new trends, favorable local circumstances, and underlying macroeconomic factors. As more people in France prioritize sustainability and seek convenient transportation options, the demand for bike-sharing services is expected to continue to rise.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of bike-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.Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)