Shared Mobility - Europe

  • Europe
  • Europe is projected to reach a revenue of €335,500.00m in the Shared Mobility market by 2024.
  • The revenue is expected to grow annually at a rate of 2.94% from 2024 to 2029, resulting in a projected market volume of €387,800.00m by 2029.
  • Among all Shared Mobility markets, Flights are expected to hold the largest market share with a projected market volume of €135,200.00m in 2024.
  • The number of users in the Public Transportation market is expected to amount to 561.70m users by 2029.
  • In 2024, user penetration is expected to be 85.0%, which is projected to hit 91.5% by 2029.
  • The average revenue per user (ARPU) is expected to be €467.60.
  • By 2029, 64% of the total revenue in the Shared Mobility market will be generated through online sales.
  • In comparison to other countries, China is expected to generate the most revenue with €338bn in 2024.
  • In Germany, car-sharing services have gained popularity due to strict environmental regulations and a preference for urban living.

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

 
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Analyst Opinion

The Shared Mobility market in Europe is experiencing a significant shift in consumer behavior and transportation choices.

Customer preferences:
Customers in Europe are increasingly valuing convenience, affordability, and sustainability when it comes to transportation options. Shared Mobility services such as ride-hailing, car-sharing, and bike-sharing are gaining popularity due to their flexibility and cost-effectiveness. Additionally, the growing environmental consciousness among consumers is driving the demand for eco-friendly transportation solutions.

Trends in the market:
In countries like Germany and France, the Shared Mobility market is witnessing a surge in innovative services such as electric scooter rentals and peer-to-peer car-sharing platforms. These trends are reshaping the traditional transportation landscape and providing consumers with a wide range of mobility options to choose from. Moreover, partnerships between Shared Mobility providers and public transportation agencies are becoming more common, offering seamless multimodal experiences to users.

Local special circumstances:
In cities like Amsterdam and Copenhagen, where cycling is deeply ingrained in the local culture, bike-sharing services have seen remarkable success. The flat terrain, extensive bike lanes, and bike-friendly infrastructure make these cities ideal for promoting shared bicycle schemes. On the other hand, in congested urban areas like London and Paris, ride-hailing services have become a popular choice for residents and tourists looking to navigate through traffic quickly and conveniently.

Underlying macroeconomic factors:
The economic stability and technological advancement in Europe have played a crucial role in the growth of the Shared Mobility market. Increasing smartphone penetration and the rise of digital payment systems have made it easier for consumers to access and pay for shared transportation services. Furthermore, regulatory support from governments in promoting sustainable mobility solutions has created a favorable environment for Shared Mobility providers to expand their operations across the region.

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.

Visión general

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