Moped-sharing - North America

North America

Highlights

The Moped-sharing market in North America is projected to reach a revenue of US$442.90m in 2024.
This revenue is expected to show an annual growth rate (CAGR 2024-2029) of 3.28%, resulting in a projected market volume of US$520.40m by 2029.
By that time, the number of users in the Moped-sharing market is expected to amount to 1.21m users.
The user penetration is projected to be 0.2% in 2024 and increase to 0.2% by 2029.
The average revenue per user (ARPU) is expected to amount to US$408.10.
The Moped-sharing market is an online-only market.
In the global comparison, India is expected to generate the most revenue in the Moped-sharing market, with US$700m in 2024.
Moped-sharing in North America is rapidly growing as an eco-friendly and cost-effective transportation option for urban dwellers.

Key regions:

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Moped-sharing market in North America has experienced significant growth in recent years, driven by changing customer preferences and the availability of new technologies. Customers in this region are increasingly seeking convenient and sustainable transportation options, and moped-sharing services provide a solution that meets these needs.

Customer preferences: In North America, customers are increasingly looking for transportation options that are cost-effective, environmentally friendly, and easily accessible. Moped-sharing services offer an attractive alternative to traditional modes of transportation such as cars or public transportation. With moped-sharing, customers can quickly and easily rent a moped for short trips, avoiding the hassle of parking and the expense of owning a vehicle. Additionally, the electric-powered mopeds used in many sharing services align with the growing demand for sustainable transportation options.

Trends in the market: One of the key trends in the moped-sharing market in North America is the expansion of services into new cities and regions. As more customers become aware of and interested in moped-sharing, companies are expanding their operations to meet this demand. This trend is fueled by the success of existing services in major cities, where customers have embraced the convenience and affordability of moped-sharing. As a result, companies are expanding their fleets and investing in infrastructure to support the growth of the market. Another trend in the market is the integration of moped-sharing services with existing transportation networks. Some cities are partnering with moped-sharing companies to provide last-mile transportation options, connecting customers to public transportation hubs or other key destinations. This integration not only improves the accessibility of moped-sharing services but also enhances the overall transportation ecosystem in these cities.

Local special circumstances: The moped-sharing market in North America is also influenced by local regulations and infrastructure. Some cities have implemented specific regulations for moped-sharing services, such as licensing requirements or restrictions on where mopeds can be parked. These regulations can impact the operations and profitability of moped-sharing companies, as they need to comply with local rules while still providing a convenient service to customers. Additionally, the availability of charging infrastructure for electric mopeds is an important consideration for companies operating in this market. Cities with a well-developed charging infrastructure are more likely to attract moped-sharing services, as it reduces the operational challenges associated with maintaining and recharging electric mopeds.

Underlying macroeconomic factors: The growth of the moped-sharing market in North America is also influenced by underlying macroeconomic factors. The overall economic stability and disposable income levels in the region play a role in determining the demand for moped-sharing services. In cities with a high cost of living, such as New York or San Francisco, customers may be more inclined to use moped-sharing as a cost-effective alternative to car ownership. Furthermore, technological advancements and the increasing availability of smartphones have made it easier for customers to access and use moped-sharing services. The convenience of booking a moped through a mobile app and the ability to track and locate available mopeds in real-time have contributed to the popularity of these services. In conclusion, the moped-sharing market in North America is experiencing growth due to changing customer preferences, the expansion of services into new cities, and the integration of moped-sharing with existing transportation networks. Local regulations and infrastructure, as well as underlying macroeconomic factors, also play a role in shaping the market. As customers continue to seek convenient and sustainable transportation options, the moped-sharing market is expected to further develop and expand in the region.

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.