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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Germany has been experiencing significant growth over the past few years.
Customer preferences: Customers in Germany have shown a strong preference for bike-sharing services due to their convenience and affordability. With increasing concerns about environmental sustainability and traffic congestion, more people are opting for eco-friendly transportation options like bike-sharing. In addition, the younger generation, in particular, is embracing bike-sharing as a lifestyle choice, valuing the flexibility and freedom it offers.
Trends in the market: One of the key trends in the German Bike-sharing market is the rise of dockless bike-sharing services. Unlike traditional docked bike-sharing systems, which require users to pick up and drop off bikes at designated stations, dockless systems allow users to locate and unlock bikes using a smartphone app. This trend has gained popularity due to its convenience and flexibility, as users can pick up and drop off bikes anywhere within the designated service area. Another trend in the market is the integration of electric bikes into bike-sharing fleets. Electric bikes provide an added level of convenience, especially for longer distances or hilly areas. The availability of electric bikes in bike-sharing services has attracted a wider range of customers who may not have considered cycling as a viable mode of transportation before.
Local special circumstances: Germany's well-developed cycling infrastructure and culture have contributed to the growth of the Bike-sharing market. The country has an extensive network of cycle paths and dedicated lanes, making it safe and convenient for cyclists. Furthermore, Germany has a strong cycling culture, with many cities promoting cycling as a sustainable and healthy mode of transportation. This cultural acceptance and support for cycling have created a favorable environment for the Bike-sharing market to thrive.
Underlying macroeconomic factors: The German government's commitment to reducing carbon emissions and promoting sustainable transportation has played a significant role in the growth of the Bike-sharing market. The government has implemented various policies and initiatives to encourage cycling, including subsidies for electric bikes and the expansion of cycling infrastructure. These efforts have not only increased the popularity of bike-sharing services but have also attracted investment from both public and private sectors. In conclusion, the Bike-sharing market in Germany is experiencing rapid growth due to customer preferences for convenience and affordability, as well as the integration of dockless and electric bikes. The country's well-developed cycling infrastructure and cultural acceptance of cycling have further contributed to this growth. Additionally, the government's commitment to sustainability and promotion of cycling has created a favorable environment for the Bike-sharing market to thrive.
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)