Moped-sharing - Czechia

  • Czechia
  • In Czechia, the revenue in the Moped-sharing market is projected to reach US$7.57m in 2024.
  • This market is expected to show an annual growth rate of 4.00% from 2024 to 2029, resulting in a projected market volume of US$9.21m by 2029.
  • By that year, the number of users in the Moped-sharing market is expected to amount to 80.53k users.
  • The user penetration rate is projected to be 0.7% in 2024 and 0.8% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$103.50.
  • The Moped-sharing market is an online-only market.
  • When considering global comparison, it is important to note that the highest revenue will be generated India, reaching US$700m in 2024.
  • The Moped-sharing market in Czechia is rapidly expanding, driven by the country's urban population seeking efficient and affordable transportation options.

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

 
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Analyst Opinion

The Moped-sharing market in Czechia is experiencing significant growth and development in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors all contribute to this positive trajectory. Customer preferences play a crucial role in the development of the Moped-sharing market in Czechia. With increasing concerns about environmental sustainability and the need for convenient transportation options, customers are turning to Moped-sharing services as a viable alternative to traditional modes of transportation. The ease of access and affordability of Moped-sharing services make them an attractive option for both short-distance commuting and leisurely rides. Trends in the market further support the growth of Moped-sharing in Czechia. The rise of the sharing economy and the increasing popularity of electric vehicles have created a favorable environment for Moped-sharing services. The convenience of app-based booking and payment systems has made it easier than ever for customers to access and utilize Moped-sharing services. Additionally, the integration of GPS technology and real-time tracking systems ensures a seamless and secure experience for users. Local special circumstances also contribute to the development of the Moped-sharing market in Czechia. The country's well-developed infrastructure, including an extensive network of bike lanes and well-maintained roads, provides a conducive environment for Moped-sharing services. The compact size of Czechia's urban centers further enhances the appeal of Moped-sharing, as it allows for efficient and time-saving transportation in congested areas. Underlying macroeconomic factors also play a role in the growth of the Moped-sharing market in Czechia. The country's strong economic performance and increasing disposable income levels have led to a higher demand for convenient and flexible transportation options. Additionally, the government's focus on sustainable mobility and reducing carbon emissions has created a supportive regulatory environment for the Moped-sharing industry. In conclusion, the Moped-sharing market in Czechia is experiencing significant growth and development due to customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. As more customers seek convenient and sustainable transportation options, the Moped-sharing industry is well-positioned to continue its positive trajectory in Czechia.

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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