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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Europe has been experiencing significant growth in recent years, driven by changing customer preferences and favorable market trends.
Customer preferences: One of the main reasons for the growth of the Bike-sharing market in Europe is the increasing preference for sustainable and eco-friendly transportation options. Customers are becoming more conscious about the environmental impact of their commuting choices and are opting for greener alternatives. Bike-sharing provides a convenient and affordable solution for short-distance travel, allowing customers to reduce their carbon footprint while also enjoying the health benefits of cycling.
Trends in the market: The Bike-sharing market in Europe is witnessing several key trends that are contributing to its growth. Firstly, there is a growing emphasis on urban mobility solutions, with city governments and transportation authorities actively promoting and investing in bike-sharing programs. This has led to the expansion of bike-sharing networks across major cities in Europe, making it easier for customers to access bikes and use them for their daily commute. Another trend in the market is the adoption of technology-driven solutions. Bike-sharing companies are leveraging advanced mobile applications and GPS tracking systems to enhance the user experience and improve operational efficiency. Customers can easily locate and unlock bikes using their smartphones, and companies can optimize bike distribution and maintenance based on real-time data.
Local special circumstances: The growth of the Bike-sharing market in Europe is also influenced by local special circumstances. For example, the dense population and limited parking spaces in many European cities make bike-sharing an attractive alternative to traditional modes of transportation. Additionally, the presence of well-developed cycling infrastructure, such as dedicated bike lanes and bike-friendly policies, further facilitates the adoption of bike-sharing.
Underlying macroeconomic factors: Several macroeconomic factors are contributing to the growth of the Bike-sharing market in Europe. Firstly, the increasing urbanization and population density in major European cities create a strong demand for efficient and sustainable transportation options. Bike-sharing provides a flexible and cost-effective solution for short-distance travel, especially in congested urban areas. Furthermore, the rising awareness and concern about climate change and air pollution have prompted governments and individuals to prioritize sustainable transportation. Bike-sharing aligns with these environmental objectives and is seen as a viable solution to reduce reliance on cars and promote healthier modes of transportation. In conclusion, the Bike-sharing market in Europe is experiencing significant growth due to changing customer preferences, favorable market trends, local special circumstances, and underlying macroeconomic factors. The increasing demand for sustainable transportation options, the adoption of technology-driven solutions, and the presence of supportive cycling infrastructure are all contributing to the expansion of bike-sharing networks across Europe.
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.Lu - vi, 9:30 - 17:00 h (CET)
Lu - vi, 9:00 - 18:00 h (EST)
Lu - vi, 9:00 - 17:00 h (SGT)
Lu - vi, 10:00 - 18:00 h (JST)
Lu - vi, 9:30 - 17:00 h (GMT)
Lu - vi, 9:00am-6:00pm (EST)