E-Scooter-sharing - Nordics

  • Nordics
  • The E-Scooter-sharing market in Nordics is expected to witness a significant rise in revenue, with projected earnings of US$105.60m in 2024.
  • Furthermore, the market volume is expected to grow at a CAGR of 4.20% between 2024 and 2029, which will result in a projected market volume of US$129.70m by 2029.
  • The number of users in this market is expected to reach 5,655.00k users by 2029, with user penetration estimated to be 17.7% in 2024 and 19.7% by 2029.
  • The average revenue per user (ARPU) is projected to be US$21.27.
  • It is expected that by 2029, 100% of the total revenue in this market will be generated through online sales.
  • It is worth noting that when compared globally, United States is expected to generate the highest revenue of US$730,200k in 2024 in the E-Scooter-sharing market.
  • E-scooter sharing continues to grow in popularity across the Nordics, with cities such as Helsinki and Stockholm leading the way in adoption.

Key regions: China, Germany, Thailand, Saudi Arabia, India

 
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Analyst Opinion

The E-Scooter-sharing market in Nordics has been experiencing significant growth in recent years, driven by changing customer preferences and favorable market trends. Customer preferences in the Nordics have shifted towards more sustainable and convenient modes of transportation, which has contributed to the rise of E-Scooter-sharing services. Customers are increasingly looking for alternative transportation options that are eco-friendly and efficient, and E-Scooter-sharing provides a solution that meets these needs. Additionally, the younger population in the Nordics, who are more tech-savvy and open to new mobility solutions, has been particularly receptive to E-Scooter-sharing services. Trends in the market indicate that the E-Scooter-sharing industry in the Nordics is becoming increasingly competitive. Several local and international players have entered the market, offering their own E-Scooter-sharing services. This competition has led to innovation and improvements in the quality and functionality of E-Scooters, as companies strive to differentiate themselves and attract customers. Additionally, partnerships between E-Scooter-sharing companies and local municipalities have emerged, leading to more regulated and organized operations. Local special circumstances in the Nordics have also contributed to the development of the E-Scooter-sharing market. The region's well-developed infrastructure, including extensive bike lanes and a strong public transportation system, makes it conducive for E-Scooter-sharing services to thrive. The compact nature of cities in the Nordics also makes E-Scooters a convenient mode of transportation for short trips, further driving their popularity. Underlying macroeconomic factors, such as the push for sustainable transportation and government initiatives to reduce carbon emissions, have also played a role in the growth of the E-Scooter-sharing market in the Nordics. Governments in the region have been actively promoting sustainable mobility solutions and investing in infrastructure to support these initiatives. This has created a favorable environment for E-Scooter-sharing companies to expand their operations and gain traction in the market. Overall, the E-Scooter-sharing market in the Nordics is seeing significant growth due to changing customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. As the market continues to evolve, it is expected that more players will enter the market and further innovation will take place, driving the growth of E-Scooter-sharing services in the region.

Methodology

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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