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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Finland has been experiencing significant growth in recent years. Customer preferences for eco-friendly transportation options, coupled with the country's well-developed cycling infrastructure, have contributed to the increasing popularity of bike-sharing services. Additionally, local special circumstances and underlying macroeconomic factors have further fueled the growth of the market. Customer preferences in Finland have shifted towards more sustainable transportation options, with a growing emphasis on reducing carbon emissions. Bike-sharing services provide an eco-friendly alternative to traditional modes of transportation, such as cars or public transportation. This aligns with the global trend of increasing environmental consciousness and the desire to reduce individual carbon footprints. Furthermore, Finland boasts a well-developed cycling infrastructure, with an extensive network of bike lanes and paths. This infrastructure makes it convenient and safe for individuals to use bike-sharing services as a means of transportation. The availability of bike-sharing stations in key locations, such as city centers and public transportation hubs, enhances the accessibility and convenience of these services. In terms of market trends, the Bike-sharing market in Finland has seen a rise in the number of players entering the market. This increased competition has led to innovations in bike-sharing technology and services, such as the introduction of electric bikes and mobile app-based booking systems. These advancements have made bike-sharing services more user-friendly and appealing to a wider range of customers. Local special circumstances, such as Finland's high bicycle ownership rate and cultural affinity for cycling, have also contributed to the growth of the Bike-sharing market. Finland has one of the highest rates of bicycle ownership in the world, indicating a strong interest in cycling among the population. This existing interest in cycling makes it easier for bike-sharing services to attract and retain customers. Additionally, Finland's cycling culture promotes the use of bicycles as a means of transportation, recreation, and exercise. The country's long summer days and beautiful natural landscapes make it an ideal destination for cycling enthusiasts. This cultural affinity for cycling provides a favorable environment for bike-sharing services to thrive. Underlying macroeconomic factors, such as urbanization and changing demographics, have also played a role in the growth of the Bike-sharing market in Finland. As more people move to urban areas, the demand for convenient and sustainable transportation options increases. Bike-sharing services offer a flexible and cost-effective solution for short-distance travel within cities. In conclusion, the Bike-sharing market in Finland is experiencing significant growth due to customer preferences for eco-friendly transportation options, the country's well-developed cycling infrastructure, local special circumstances, and underlying macroeconomic factors. As the market continues to evolve, we can expect to see further innovations and advancements in bike-sharing technology and services.
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)