Moped-sharing - NAFTA

The Moped-sharing market in NAFTA has experienced significant growth in recent years. Customer preferences have shifted towards more sustainable and convenient transportation options, leading to an increase in demand for moped-sharing services. Additionally, local special circumstances and underlying macroeconomic factors have contributed to the development of this market.

Customer preferences: Customers in the NAFTA region have shown a growing interest in sustainable transportation options. Moped-sharing services offer a convenient and eco-friendly alternative to traditional modes of transportation. With increasing concerns about air pollution and traffic congestion, customers are opting for moped-sharing as a way to reduce their carbon footprint and navigate through crowded urban areas more efficiently. The flexibility of moped-sharing services, which allow users to pick up and drop off mopeds at various locations, also appeals to customers who value convenience and flexibility in their transportation choices.

Trends in the market: One of the key trends in the moped-sharing market in NAFTA is the expansion of service providers. Several companies have entered the market, offering their own moped-sharing services to meet the growing demand. This increased competition has led to improvements in service quality, pricing, and coverage areas. As a result, customers now have more options to choose from, leading to increased adoption of moped-sharing services. Another trend in the market is the integration of technology. Moped-sharing companies are leveraging technology to enhance the user experience and improve operational efficiency. Mobile applications allow customers to easily locate and unlock available mopeds, while real-time tracking systems enable companies to monitor the status and location of their fleet. These technological advancements have made moped-sharing more accessible and user-friendly, further driving its popularity among customers.

Local special circumstances: The moped-sharing market in NAFTA is influenced by local special circumstances in each country. In the United States, for example, the market is driven by the high population density in urban areas and the need for efficient transportation options. In Canada, the market is influenced by the country's cold climate, which makes mopeds a popular choice for short-distance travel during the warmer months. In Mexico, the market is shaped by the country's large urban population and the need for affordable transportation options.

Underlying macroeconomic factors: The development of the moped-sharing market in NAFTA is also influenced by underlying macroeconomic factors. Economic growth in the region has led to an increase in disposable income, allowing more people to afford the cost of using moped-sharing services. Additionally, government initiatives and policies promoting sustainable transportation have created a favorable environment for the growth of this market. As a result, the moped-sharing market in NAFTA is expected to continue its upward trajectory in the coming years.

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.