Shared Mobility - EU-27

  • EU-27
  • According to recent projections, the Shared Mobility market in EU-27 is expected to generate a revenue of US$229,400.00m by 2024.
  • It is further anticipated that the market will exhibit an annual growth rate (CAGR 2024-2029) of 2.11%, leading to a projected market volume of US$254,700.00m by 2029.
  • The largest market in the market is that of Flights, which is expected to reach a market volume of US$91,730.00m in 2024.
  • By 2029, the number of users in the Public Transportation market is predicted to increase to 303.70m users.
  • As of 2024, user penetration is estimated to be 92.8% and is expected to rise to 95.0% by 2029.
  • The average revenue per user (ARPU) is likely to be US$552.10.
  • By 2029, 61% of the total revenue in the Shared Mobility market will be generated through online sales.
  • Comparing globally, it is anticipated that China will generate the most revenue in this market, with US$365bn expected in 2024.
  • In Germany, the shared mobility market is dominated by car-sharing services such as ShareNow and Flinkster, with a growing trend towards electric vehicles.

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

 
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Analyst Opinion

Shared Mobility services in the EU-27 have been experiencing a significant growth in recent years, driven by shifting consumer preferences, technological advancements, and supportive regulatory frameworks.

Customer preferences:
Consumers in the EU-27 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, offer individuals the flexibility to choose the most suitable mode of transportation for their needs, without the burden of ownership. This trend is particularly appealing to urban dwellers looking for efficient and cost-effective ways to navigate congested city centers.

Trends in the market:
In countries like Germany and France, there has been a notable increase in the adoption of electric scooters and bike-sharing services as a means of reducing carbon emissions and promoting eco-friendly transportation solutions. On the other hand, ride-hailing services continue to gain popularity in Southern European countries like Italy and Spain, where traditional taxi services may be less efficient or more costly. Additionally, the rise of multimodal platforms that integrate various shared transportation options into a single app is streamlining the user experience and further driving market growth.

Local special circumstances:
Certain countries in the EU-27, such as the Nordic nations, have a strong culture of sustainability and environmental consciousness, making them early adopters of Shared Mobility services that prioritize eco-friendly practices. In contrast, countries with less developed public transportation infrastructure, like some Eastern European nations, are seeing a surge in demand for shared mobility solutions to fill the gaps in accessibility and connectivity.

Underlying macroeconomic factors:
The overall economic stability and income levels in the EU-27 play a significant role in shaping the Shared Mobility market. As disposable incomes rise and urbanization continues, more individuals are seeking cost-effective and efficient transportation options, leading to a higher demand for shared mobility services. Moreover, government initiatives aimed at reducing traffic congestion and air pollution are driving the adoption of sustainable transportation solutions 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.

Overview

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