Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Norway is experiencing significant growth and development.
Customer preferences: Customers in Norway are increasingly turning to e-scooter-sharing services as a convenient and eco-friendly mode of transportation. The ease of use and flexibility offered by e-scooters, combined with their low environmental impact, make them an attractive option for short-distance travel in urban areas. Additionally, the younger generation, who are more environmentally conscious and tech-savvy, are particularly drawn to e-scooter-sharing services.
Trends in the market: One of the key trends in the e-scooter-sharing market in Norway is the expansion of service providers. Several international companies have entered the market, competing with local players to capture a share of the growing demand. This increased competition has led to innovations in technology and service offerings, such as improved battery life, enhanced safety features, and user-friendly mobile applications. Another trend is the integration of e-scooter-sharing services with existing public transportation systems. This allows customers to seamlessly switch between different modes of transport, further enhancing the convenience and accessibility of e-scooters. The integration of e-scooter-sharing services with public transportation not only benefits customers but also helps reduce traffic congestion and improve air quality in urban areas.
Local special circumstances: Norway's strong commitment to sustainability and green initiatives has played a significant role in the development of the e-scooter-sharing market. The government has implemented policies and regulations that support the use of electric vehicles, including e-scooters. This has created a favorable environment for e-scooter-sharing companies to operate and expand their services. Furthermore, Norway's well-developed infrastructure, including bike lanes and charging stations, makes it easier for e-scooter-sharing companies to establish their operations and ensure a seamless experience for customers. The country's compact urban areas and high population density also contribute to the success of e-scooter-sharing services, as they provide a large customer base and shorter travel distances.
Underlying macroeconomic factors: Norway's strong economy and high disposable income levels have contributed to the growth of the e-scooter-sharing market. Customers are willing to spend on convenient and sustainable transportation options, and e-scooter-sharing services fit the bill. Additionally, the government's focus on reducing carbon emissions and promoting sustainable transportation aligns with the preferences of customers, further driving the demand for e-scooter-sharing services. In conclusion, the e-scooter-sharing market in Norway is experiencing significant growth and development due to customer preferences for convenient and eco-friendly transportation options. The expansion of service providers, integration with public transportation systems, and favorable government policies and infrastructure have all contributed to the market's success. With the country's strong economy and commitment to sustainability, the e-scooter-sharing market in Norway is expected to continue its upward trajectory.
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.
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