Definition:
The Moped-sharing market covers the growing industry of shared moped services, where individuals can rent mopeds for short periods of time. Moped-sharing services typically operate through mobile applications, allowing users to locate nearby mopeds, unlock them using a digital interface, and pay for their usage. To use the service, customers are required to open an account with the moped-sharing provider. Providers normally offer dockless services, so it is possible to find mopeds everywhere within the provider’s business zone and to leave the mopeds anywhere in accordance with traffic regulations. Moped-sharing services are not available in all countries; thus, only a limited number of countries and regions can be selected.
Additional Information:
The main performance indicators of the Moped-sharing market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the mentioned market. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year.
The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.
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Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
The Moped-sharing market in Pakistan 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 Pakistan. With the increasing urbanization and traffic congestion in major cities, customers are seeking convenient and cost-effective transportation options. Moped-sharing services provide a flexible and affordable alternative to traditional modes of transportation, allowing customers to easily navigate through congested streets and reach their destinations quickly. Additionally, the younger population in Pakistan, who are more inclined towards using technology-driven solutions, are embracing the concept of Moped-sharing as a convenient and trendy mode of transportation. Trends in the market further drive the growth of Moped-sharing services in Pakistan. The rise of smartphone usage and the availability of user-friendly mobile applications have made it easier for customers to access and utilize Moped-sharing services. The convenience of booking a Moped with just a few taps on a smartphone screen has attracted a large number of customers, contributing to the increasing demand for Moped-sharing services. Furthermore, the emergence of local and international players in the market has intensified competition, leading to improved service quality and affordability for customers. Local special circumstances also contribute to the development of the Moped-sharing market in Pakistan. The country's inadequate public transportation infrastructure and unreliable public transport services have created a gap in the market that Moped-sharing services are filling. Additionally, the high population density in urban areas and the increasing number of young professionals seeking employment opportunities in cities have created a large customer base for Moped-sharing services. The cultural shift towards a more fast-paced and convenience-oriented lifestyle has also played a role in the popularity of Moped-sharing services. Underlying macroeconomic factors further support the growth of the Moped-sharing market in Pakistan. The country's improving economic conditions, rising disposable incomes, and increasing urbanization have contributed to the expansion of the middle class and their demand for affordable transportation options. Additionally, the government's initiatives to promote sustainable and environmentally friendly transportation solutions have created a favorable environment for the growth of Moped-sharing services. Overall, the Moped-sharing market in Pakistan is experiencing significant growth and development due to customer preferences, market trends, local special circumstances, and underlying macroeconomic factors. As the market continues to evolve, it is expected to play a crucial role in addressing transportation challenges and providing convenient and affordable mobility solutions to customers across the country.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights