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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Sweden has experienced significant growth in recent years, driven by changing customer preferences, emerging trends in the market, and local special circumstances. Customer preferences in the Bike-sharing market in Sweden have shifted towards more sustainable and convenient transportation options. With increasing concerns about environmental sustainability, customers are actively seeking alternatives to traditional modes of transportation that are carbon-intensive. Bike-sharing provides a greener alternative, allowing users to reduce their carbon footprint while also enjoying the health benefits of cycling. Additionally, customers are increasingly valuing convenience and flexibility in their transportation choices. Bike-sharing offers a convenient and accessible solution, allowing users to pick up and drop off bikes at various locations throughout the city, without the need for ownership or maintenance. Trends in the Bike-sharing market in Sweden reflect the global shift towards shared mobility solutions. The rise of smartphone technology has made it easier than ever for customers to access and use bike-sharing services. Mobile applications allow users to locate and unlock bikes with ease, streamlining the user experience. Furthermore, the emergence of dockless bike-sharing systems has revolutionized the market, eliminating the need for designated docking stations and providing greater flexibility for users. These trends have contributed to the growth of the Bike-sharing market in Sweden, making it more accessible and convenient for customers to use. Local special circumstances in Sweden have also played a role in the development of the Bike-sharing market. Sweden has a strong cycling culture, with well-developed cycling infrastructure and a high level of bike ownership. This existing infrastructure and culture have created a favorable environment for the adoption of bike-sharing services. Additionally, the government of Sweden has implemented policies and initiatives to promote sustainable transportation, including subsidies for electric bikes and the development of cycling networks. These efforts have further encouraged the use of bike-sharing services, contributing to the growth of the market. Underlying macroeconomic factors have also influenced the development of the Bike-sharing market in Sweden. The country has a strong economy and high levels of disposable income, allowing customers to afford the cost of bike-sharing services. Additionally, Sweden has a high level of urbanization, with a significant proportion of the population living in cities. This urban population provides a large customer base for bike-sharing companies, as urban dwellers are more likely to utilize alternative transportation options. Overall, the Bike-sharing market in Sweden has experienced growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The market is expected to continue to expand as more customers recognize the benefits of bike-sharing and as technology and infrastructure continue to improve.
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)