Shared Mobility - Germany
- Germany
- Germany is expected to witness a significant growth in the Shared Mobility market, with revenue projected to reach €51,920.00m by 2024.
- It is expected to exhibit an annual growth rate of 1.49% (CAGR 2024-2029), leading to a projected market volume of €55,910.00m by 2029.
- Flights is the largest market in Germany, with a projected market volume of €21,890.00m in 2024.
- By 2029, the number of users in the Public Transportation market is expected to reach 60.49m users.
- User penetration is expected to rise from 95.0% in 2024 to 95.0% by 2029.
- The average revenue per user (ARPU) is expected to be €587.70.
- In Germany, 64% of the total revenue in the Shared Mobility market is expected to 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 €335bn in 2024.
- Germany's shared mobility market is seeing a shift towards electric vehicles and increased focus on sustainability.
Key regions: United States, Saudi Arabia, Germany, Malaysia, India
Analyst Opinion
The Shared Mobility market in Germany has been experiencing significant growth and evolution in recent years.
Customer preferences: German consumers are increasingly valuing convenience, cost-effectiveness, and environmental sustainability when it comes to transportation options. This has led to a growing demand for shared mobility services such as ride-hailing, car-sharing, and bike-sharing. Customers appreciate the flexibility and ease of access that shared mobility provides, especially in urban areas where owning a car can be expensive and impractical.
Trends in the market: One notable trend in the Shared Mobility market in Germany is the rise of electric scooters as a popular mode of transportation. These eco-friendly vehicles offer a convenient and fun way to navigate city streets, particularly for short trips. Additionally, there has been a shift towards multimodal transportation solutions, where customers can seamlessly switch between different modes of shared mobility within a single trip. This integration of various services is enhancing the overall user experience and driving further adoption of shared mobility options.
Local special circumstances: Germany's strong focus on sustainability and environmental protection is influencing the development of the Shared Mobility market in the country. Government initiatives promoting clean transportation and reducing carbon emissions are encouraging the adoption of shared mobility services that offer electric or hybrid vehicles. Furthermore, the high population density in major cities like Berlin, Munich, and Hamburg is creating a conducive environment for shared mobility providers to thrive, as residents seek efficient and eco-friendly ways to get around.
Underlying macroeconomic factors: The economic stability and high disposable income levels in Germany are also contributing to the growth of the Shared Mobility market. Consumers are willing to spend on convenient transportation solutions that align with their values of sustainability and cost-effectiveness. Moreover, the country's well-developed infrastructure and advanced technology landscape support the seamless operation of shared mobility services, making it easier for providers to meet the evolving needs of customers in the market.
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.Vue d’ensemble
- Revenue
- Sales Channels
- Analyst Opinion
- Users
- Mode of Transportation
- User Demographics
- Global Comparison
- Methodology
- Key Market Indicators