Moped-sharing - EMEA

  • EMEA
  • The Moped-sharing market in the EMEA region is anticipated to witness significant growth in the coming years.
  • According to projections, the revenue is projected to reach US$413.00m by 2024.
  • This growth is expected to continue at a compound annual growth rate (CAGR) of 4.10% from 2024 to 2029, resulting in a projected market volume of US$505.00m by 2029.
  • Moreover, the number of users in the Moped-sharing market is estimated to reach 3.49m users by 2029.
  • This indicates a substantial increase in user adoption and highlights the growing popularity of Moped-sharing market services in the EMEA region.
  • The user penetration rate, which refers to the percentage of the population using Moped-sharing market services, is projected to be 0.1% in 2024 and is expected to remain the same at 0.1% by 2029.
  • This suggests that there is still significant untapped potential for market penetration and growth in this market.
  • Furthermore, the average revenue per user (ARPU) is expected to amount to US$143.00.
  • The Moped-sharing market is an online-only market.
  • When comparing revenue across global markets, India is projected to generate the highest revenue, amounting to US$700m in 2024.
  • Moped-sharing in EMEA is booming, with Spain leading the way as the country with the highest adoption rate among users.

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

 
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Analyst Opinion

The Moped-sharing market in EMEA is experiencing significant growth and development.

Customer preferences:
Customers in the EMEA region are increasingly opting for moped-sharing services due to their convenience, affordability, and environmental benefits. Mopeds provide a flexible mode of transportation, allowing users to navigate through congested urban areas quickly. Additionally, the cost of using moped-sharing services is often lower than traditional transportation options, making it an attractive choice for budget-conscious consumers. Moreover, the growing concern for sustainability and reducing carbon emissions has led to an increased demand for eco-friendly transportation alternatives, further driving the popularity of moped-sharing services.

Trends in the market:
One of the key trends in the moped-sharing market in EMEA is the expansion of service providers into new cities and countries. As the market continues to grow, companies are seeking to capitalize on the demand by expanding their operations to reach a wider customer base. This expansion is driven by the success and positive reception of moped-sharing services in existing markets, as well as the identification of new opportunities in untapped regions. Another trend in the market is the integration of technology to enhance the user experience. Moped-sharing platforms are leveraging technology to streamline the booking process, improve fleet management, and enhance user safety. Mobile applications allow users to easily locate and reserve mopeds, while GPS tracking systems enable efficient fleet management and maintenance. Additionally, some companies are incorporating features such as helmet sensors and geofencing to ensure the safety of riders.

Local special circumstances:
The moped-sharing market in EMEA is influenced by various local factors. In densely populated cities with limited parking spaces, moped-sharing services provide a convenient transportation option that does not require dedicated parking areas. This makes it particularly appealing in cities where parking is a challenge, reducing congestion and freeing up parking spaces for other vehicles. Furthermore, the regulatory environment plays a crucial role in shaping the moped-sharing market. Some countries and cities have embraced moped-sharing services by implementing favorable regulations and infrastructure, while others have imposed restrictions or faced regulatory challenges. The level of government support and willingness to adapt to new mobility solutions greatly impacts the growth and development of the market in different regions.

Underlying macroeconomic factors:
The growth of the moped-sharing market in EMEA is also influenced by underlying macroeconomic factors. Economic growth and rising disposable incomes contribute to increased consumer spending on transportation services. As the economy improves, more individuals are willing to spend on convenient and efficient modes of transportation, including moped-sharing services. Additionally, the shift towards urbanization in many EMEA countries has led to increased demand for alternative transportation solutions. As more people move to cities, the need for efficient and sustainable modes of transportation becomes paramount. Moped-sharing services offer a practical solution for short-distance travel within urban areas, catering to the needs of urban dwellers. In conclusion, the moped-sharing market in EMEA is experiencing growth and development driven by customer preferences for convenience, affordability, and sustainability. The expansion of service providers, integration of technology, local special circumstances, and underlying macroeconomic factors all contribute to the evolving landscape of the market in different countries and regions within EMEA.

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.

Overview

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