Shared Mobility - Austria

  • Austria
  • Austria is expected to experience a surge in the Shared Mobility market sector, with revenue projected to reach US$5,137.00m by 2024.
  • The industry is expected to grow at an annual rate of 1.41% between 2024 and 2029, resulting in a projected market volume of US$5,510.00m by 2029.
  • The largest market in the Austrian market is Flights, with a projected market volume of US$2,135.00m by 2024.
  • By 2029, the number of Public Transportation users is expected to reach 6,596.00k users.
  • The user penetration rate is projected to increase from 95.0% in 2024 to 95.0% by 2029.
  • The average revenue per user (ARPU) is expected to be US$482.40.
  • In Austria, 63% of the total revenue in the Shared Mobility market is expected to be generated through online sales by 2029.
  • When compared globally, China is projected to generate the most revenue in the Shared Mobility market sector, with US$365bn expected in 2024.
  • Austria's shared mobility market is expanding with the growth of electric bike and scooter sharing services, particularly in urban areas.

Key regions: United States, Saudi Arabia, Germany, Malaysia, India

 
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Analyst Opinion

The Shared Mobility market in Austria has been experiencing significant growth in recent years.

Customer preferences:
Customers in Austria are increasingly valuing convenience, flexibility, and sustainability when it comes to transportation options. Shared mobility services provide them with the ability to access transportation on-demand without the hassle of ownership. This shift in preferences is driving the adoption of shared mobility services across the country.

Trends in the market:
One notable trend in the Austrian Shared Mobility market is the increasing popularity of e-scooter and bike-sharing services. These options provide a cost-effective and environmentally friendly way for people to navigate urban areas. Additionally, car-sharing services are also gaining traction, especially in major cities where car ownership can be expensive and impractical.

Local special circumstances:
Austria's well-developed public transportation system and infrastructure make it conducive to the growth of shared mobility services. The compact nature of cities like Vienna and Salzburg also makes them ideal markets for shared mobility providers. Moreover, the country's commitment to sustainability and reducing carbon emissions aligns well with the environmentally friendly nature of shared mobility services.

Underlying macroeconomic factors:
The growing urban population in Austria, coupled with increasing awareness about the environmental impact of traditional transportation methods, is driving the demand for shared mobility services. Additionally, the rise of the sharing economy globally has influenced consumer behavior in Austria, leading more people to opt for shared mobility solutions over traditional modes of transportation. Furthermore, technological advancements and the proliferation of smartphones have made it easier for people to access and use shared mobility services, further fueling market growth.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.

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
  • Mode of Transportation
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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