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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Switzerland has been experiencing significant growth in recent years, driven by changing customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors.
Customer preferences: In Switzerland, customers are increasingly valuing convenience, flexibility, and sustainability when it comes to transportation. Bike-sharing services offer a convenient and flexible alternative to traditional modes of transportation, allowing users to easily access bikes for short trips or last-mile connectivity. Furthermore, the emphasis on sustainability in Switzerland has led to a growing interest in eco-friendly transportation options, with bike-sharing being seen as a greener alternative to cars or public transportation.
Trends in the market: One of the key trends in the Bike-sharing market in Switzerland is the adoption of dockless bike-sharing systems. Unlike traditional dock-based systems, dockless bike-sharing allows users to pick up and drop off bikes anywhere within a designated area, using GPS technology to track the bikes. This trend has gained popularity in Switzerland as it offers greater convenience and flexibility for users, eliminating the need to find and return bikes to specific docking stations. Another trend in the market is the integration of bike-sharing services with other modes of transportation. Many bike-sharing companies in Switzerland are partnering with public transportation providers to offer seamless multi-modal journeys. This integration allows users to easily combine bike-sharing with buses, trains, or trams, enhancing the overall transportation experience and encouraging more people to use bikes for short trips.
Local special circumstances: Switzerland's well-developed cycling infrastructure and bike-friendly cities contribute to the growth of the Bike-sharing market. The country has an extensive network of cycling paths and lanes, making it easy and safe for people to ride bikes. In addition, Switzerland's compact urban areas and high population density make bike-sharing a practical and efficient mode of transportation for short distances.
Underlying macroeconomic factors: The strong economy and high disposable income levels in Switzerland have also played a role in the growth of the Bike-sharing market. As people have more financial resources, they are more likely to spend on convenient and sustainable transportation options like bike-sharing. Additionally, the government's support for sustainable transportation initiatives and the promotion of cycling as a means of reducing congestion and emissions have created a favorable environment for the Bike-sharing market to thrive. In conclusion, the Bike-sharing market in Switzerland is experiencing growth due to changing customer preferences, trends in the market such as the adoption of dockless systems and integration with other modes of transportation, local special circumstances including a well-developed cycling infrastructure, and underlying macroeconomic factors such as a strong economy and government support for sustainable transportation. This growth is expected to continue as more people recognize the benefits of bike-sharing in terms of convenience, flexibility, and sustainability.
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)