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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Central & Western Europe has been experiencing significant growth in recent years.
Customer preferences: One of the main reasons for the growth of the Bike-sharing market in Central & Western Europe is the increasing preference for eco-friendly transportation options. Customers are becoming more conscious of the environmental impact of traditional modes of transportation and are actively seeking alternatives that are more sustainable. Bike-sharing offers a convenient and environmentally friendly solution, allowing people to travel short distances without relying on cars or public transportation.
Trends in the market: One of the key trends in the Bike-sharing market in Central & Western Europe is the adoption of dockless bike-sharing systems. Unlike traditional docked systems, which require users to pick up and return bikes at designated stations, dockless systems allow users to pick up and drop off bikes anywhere within a certain area. This flexibility has made dockless bike-sharing more popular among customers, as it offers greater convenience and accessibility. Another trend in the market is the integration of bike-sharing services with mobile apps and digital platforms. Many bike-sharing companies now have their own mobile apps, which allow users to easily locate and unlock bikes, track their rides, and make payments. This integration with digital platforms has made bike-sharing more user-friendly and has attracted a wider customer base.
Local special circumstances: The Bike-sharing market in Central & Western Europe is also influenced by local special circumstances. For example, the high population density and limited parking space in cities like Amsterdam and Copenhagen have contributed to the popularity of bike-sharing services. In these cities, where cycling is already a common mode of transportation, bike-sharing provides an additional option for residents and tourists to get around.
Underlying macroeconomic factors: The growth of the Bike-sharing market in Central & Western Europe can also be attributed to underlying macroeconomic factors. The region has experienced steady economic growth in recent years, resulting in increased disposable income and higher standards of living. This has led to a greater demand for convenient and sustainable transportation options, such as bike-sharing. Furthermore, government initiatives and policies promoting sustainable transportation have also played a role in the development of the Bike-sharing market in Central & Western Europe. Many cities in the region have implemented bike-friendly infrastructure, including dedicated bike lanes and parking facilities, which have made cycling and bike-sharing more attractive and safer for users. In conclusion, the Bike-sharing market in Central & Western Europe is growing due to customer preferences for eco-friendly transportation, trends such as the adoption of dockless systems and integration with mobile apps, local special circumstances like high population density, and underlying macroeconomic factors such as economic growth and government initiatives. This market is expected to continue expanding as more people recognize the benefits of bike-sharing and as cities invest in infrastructure to support this mode of transportation.
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)