E-Scooter-sharing - Austria

  • Austria
  • The E-Scooter-sharing market in Austria is projected to reach a revenue of US$14,710.00k by 2024.
  • It is expected to grow annually at a rate of 3.19%, resulting in a market volume of US$17,210.00k by 2029.
  • The number of users in this market is expected to reach 989.40k users by 2029, with a projected user penetration of 10.1% in 2024 and 10.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$16.23.
  • It is projected that by 2029, 100% of the total revenue in the E-Scooter-sharing market will be generated through online sales.
  • In comparison to other countries, United States is expected to generate the most revenue, with a projected revenue of US$730,200k in 2024.
  • E-Scooter-sharing has gained popularity in Austria, with companies like Lime and Tier expanding their fleets in major cities.

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

 
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Analyst Opinion

The E-Scooter-sharing market in Austria has experienced significant growth in recent years, driven by changing customer preferences, market trends, and local special circumstances.

Customer preferences:
Austrian customers have shown a growing preference for convenient and eco-friendly transportation options, which has contributed to the rise of the E-Scooter-sharing market. With increasing concerns about air pollution and traffic congestion, many individuals are seeking alternative modes of transportation that are both sustainable and efficient. E-Scooter sharing services provide a convenient solution for short-distance travel, allowing users to easily navigate through urban areas and reach their destinations quickly.

Trends in the market:
One of the key trends in the E-Scooter-sharing market in Austria is the integration of digital technology. E-Scooter sharing companies are leveraging mobile applications and GPS tracking systems to enhance the user experience. Customers can easily locate and unlock available scooters through their smartphones, making the process seamless and user-friendly. Additionally, the use of digital platforms allows companies to collect valuable data on customer usage patterns, enabling them to optimize their operations and provide personalized services. Another trend in the market is the expansion of E-Scooter-sharing services to suburban areas. While initially concentrated in major cities, E-Scooter-sharing companies are now targeting smaller towns and suburban neighborhoods. This expansion is driven by the increasing demand for last-mile connectivity in these areas, where public transportation options may be limited. By providing E-Scooter-sharing services in suburban areas, companies can cater to a wider customer base and tap into new market opportunities.

Local special circumstances:
Austria's well-developed infrastructure and bike-friendly cities make it an ideal market for E-Scooter sharing. The country has a strong cycling culture, with many individuals already accustomed to using bicycles for daily commuting. This cultural acceptance of alternative modes of transportation has facilitated the adoption of E-Scooter sharing services. Furthermore, Austria's strict regulations on vehicle emissions have played a role in the growth of the E-Scooter-sharing market. With a focus on reducing carbon emissions, the government has implemented policies and incentives to promote sustainable transportation options. E-Scooters, being electric vehicles, align with these objectives and have gained support from both the government and the public.

Underlying macroeconomic factors:
The E-Scooter-sharing market in Austria is also influenced by macroeconomic factors such as urbanization and population density. As cities become more crowded and congested, there is a growing need for efficient and flexible transportation solutions. E-Scooter sharing services offer a convenient alternative to traditional modes of transportation, allowing users to bypass traffic and reach their destinations faster. Additionally, the increasing popularity of ride-sharing and on-demand services has contributed to the growth of the E-Scooter-sharing market. Consumers are becoming more accustomed to using app-based platforms for various services, including transportation. The familiarity with these platforms has made it easier for E-Scooter-sharing companies to attract and retain customers. In conclusion, the E-Scooter-sharing market in Austria is experiencing significant growth due to changing customer preferences, market trends, and local special circumstances. The convenience, sustainability, and digital integration offered by E-Scooter-sharing services have resonated with Austrian customers, leading to increased adoption. Furthermore, Austria's well-developed infrastructure, strict emissions regulations, and macroeconomic factors have created a favorable environment for the growth of the E-Scooter-sharing market.

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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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