Key regions: India, Thailand, Malaysia, China, South America
The E-Scooter-sharing market in Sweden has been experiencing significant growth in recent years.
Customer preferences: Customers in Sweden have shown a strong preference for sustainable and eco-friendly transportation options. E-Scooter-sharing services provide an efficient and convenient way for people to travel short distances without contributing to pollution or traffic congestion. Additionally, the younger generation in Sweden, who are more environmentally conscious, have embraced the concept of E-Scooter-sharing as a trendy and fun mode of transportation.
Trends in the market: One of the key trends in the E-Scooter-sharing market in Sweden is the expansion of services to smaller cities and towns. Initially, E-Scooter-sharing services were mainly available in larger cities like Stockholm and Gothenburg. However, due to the increasing demand and positive reception from customers, companies have started to expand their operations to smaller cities, allowing more people to access and use E-Scooter-sharing services. Another trend in the market is the integration of E-Scooter-sharing services with existing public transportation systems. Many cities in Sweden have implemented policies to encourage the use of sustainable transportation options, and E-Scooter-sharing services have become a part of this strategy. By integrating E-Scooter-sharing with public transportation, customers have the option to combine different modes of transportation for a seamless and efficient travel experience.
Local special circumstances: Sweden's well-developed infrastructure and bike-friendly cities have created a conducive environment for the growth of the E-Scooter-sharing market. The country has a comprehensive network of bike lanes and cycling infrastructure, which makes it easier and safer for people to use E-Scooters for their daily commute. Additionally, the Swedish government has been supportive of sustainable transportation initiatives, providing incentives and subsidies to companies operating in the E-Scooter-sharing market.
Underlying macroeconomic factors: The growth of the E-Scooter-sharing market in Sweden can also be attributed to favorable macroeconomic factors. The country has a strong economy and high disposable income levels, which allows people to spend on convenient and innovative transportation options. Furthermore, the high smartphone penetration rate in Sweden has made it easier for customers to access and use E-Scooter-sharing services through mobile applications. Overall, the E-Scooter-sharing market in Sweden is developing rapidly due to customer preferences for sustainable transportation, the expansion of services to smaller cities, integration with public transportation, local special circumstances such as bike-friendly infrastructure, and favorable macroeconomic factors. As the market continues to evolve, it is expected that more companies will enter the market and innovations in technology and service offerings will further drive the growth of the E-Scooter-sharing market in Sweden.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-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)
