Shared Mobility - Switzerland

  • Switzerland
  • Switzerland is expected to witness a significant growth in the Shared Mobility market in the coming years.
  • It is projected that the revenue in this market will reach US$11,780.00m in 2024 with an annual growth rate (CAGR 2024-2029) of 2.41%.
  • This growth is expected to lead to a projected market volume of US$13,270.00m by 2029.
  • The largest market in this market is Public Transportation, which is expected to reach a projected market volume of US$3,543.00m in the country by 2024.
  • By 2029, the number of users in the Public Transportation market is expected to amount to 7,079.00k users.
  • In 2024, the user penetration rate is expected to be 89.7% and is projected to be 95.0% by 2029.
  • The average revenue per user (ARPU) is expected to be US$1,484.00 in Switzerland.
  • It is expected that in the Shared Mobility market, 70% of the total revenue will be generated through online sales by 2029.
  • In global comparison, China is expected to generate the most revenue in the Shared Mobility market, with a projected revenue of US$365bn in 2024.
  • Switzerland's shared mobility market is dominated by established players such as Mobility Carsharing and Catch a Car, with new entrants facing strong competition.

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

 
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Analyst Opinion

The Shared Mobility market in Switzerland is experiencing a shift towards more sustainable and convenient transportation options.

Customer preferences:
Swiss customers are increasingly valuing flexibility, cost-effectiveness, and environmental sustainability when it comes to transportation choices. This has led to a growing demand for shared mobility services that offer on-demand access to vehicles without the burden of ownership.

Trends in the market:
One notable trend in the Swiss Shared Mobility market is the rise of electric vehicles in shared fleets. As Switzerland aims to reduce carbon emissions and promote clean energy, the integration of electric cars and bikes into shared mobility services has gained traction. Additionally, the concept of multimodal transportation, where users can seamlessly switch between different modes of transport like bikes, scooters, and cars, is becoming more popular among Swiss consumers.

Local special circumstances:
Switzerland's well-developed public transportation system, including trains, trams, and buses, plays a significant role in shaping the Shared Mobility market. The country's compact size and high population density make it conducive to shared mobility services that complement existing public transit options. Moreover, Swiss cities have been actively implementing policies to reduce traffic congestion and improve air quality, creating a favorable environment for shared mobility providers to thrive.

Underlying macroeconomic factors:
The stable economy and high standard of living in Switzerland contribute to the willingness of consumers to adopt shared mobility solutions. Additionally, the country's strong regulatory framework and support for sustainable initiatives further encourage the growth of the Shared Mobility market. As urbanization continues and the focus on environmental sustainability intensifies, shared mobility is poised to play an increasingly important role in Switzerland's transportation ecosystem.

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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