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Moped-sharing - Switzerland

Switzerland

In Switzerland, the revenue in the Moped-sharing market is projected to reach €26.73m in 2024.
This market is expected to show an annual growth rate (CAGR 2024-2029) of 3.42%, resulting in a projected market volume of €31.62m by 2029.
Additionally, the number of users in the Moped-sharing market is expected to amount to 100.70k users by 2029.
The user penetration is projected to be 1.0% in 2024 and 1.1% by 2029.
Furthermore, the average revenue per user (ARPU) is expected to amount to €312.80 in Switzerland.
The Moped-sharing market is an online-only market.
Looking at the global comparison, it is worth noting that India is expected to generate the most revenue in the Moped-sharing market, reaching €643m in 2024.
Switzerland's Moped-sharing market is thriving due to its efficient transportation system and the country's preference for eco-friendly modes of travel.

Key regions: Germany, Europe, India, Indonesia, United States

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Analyst Opinion

The Moped-sharing market in Switzerland has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to this development. Customer preferences in Switzerland have played a crucial role in the growth of the Moped-sharing market. With a strong emphasis on sustainability and environmental consciousness, Swiss consumers are increasingly opting for alternative modes of transportation. Moped-sharing services provide a convenient and eco-friendly solution for short-distance travel, aligning with the preferences of the environmentally-conscious Swiss population. Trends in the market also contribute to the growth of Moped-sharing in Switzerland. The rise of the sharing economy and the increasing popularity of on-demand services have created a favorable environment for Moped-sharing platforms. These platforms offer users the flexibility to rent a moped for a short period, making it an attractive option for quick trips or last-mile transportation. Additionally, the integration of mobile applications and digital payment systems has made it easier for consumers to access and use Moped-sharing services. Local special circumstances in Switzerland further support the development of the Moped-sharing market. The country's well-developed infrastructure, including an extensive network of bike lanes and public transportation systems, makes it conducive for Moped-sharing services to thrive. The compact size of Swiss cities also makes it convenient for users to navigate through traffic and find parking spaces, further enhancing the appeal of Moped-sharing. Underlying macroeconomic factors have also contributed to the growth of the Moped-sharing market in Switzerland. The country's strong economy and high disposable income levels enable consumers to afford the cost of Moped-sharing services. Additionally, the increasing urbanization and population density in Swiss cities have created a demand for efficient and accessible transportation options, which Moped-sharing platforms can fulfill. In conclusion, the growth of the Moped-sharing market in Switzerland can be attributed to customer preferences for sustainable transportation, trends in the sharing economy, local special circumstances such as well-developed infrastructure, and underlying macroeconomic factors. As these factors continue to shape the market, it is expected that the Moped-sharing industry in Switzerland will continue to expand in the coming years.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of moped-sharing services.

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.