Car-sharing - NAFTA

The Car-sharing market in NAFTA is experiencing significant growth and development due to several key factors. Customer preferences for more flexible and sustainable transportation options, along with advancements in technology, are driving the expansion of the car-sharing market in this region. Additionally, local special circumstances and underlying macroeconomic factors are contributing to the growth of this market.

Customer preferences: Customers in the NAFTA region are increasingly seeking more flexible and convenient transportation options. Car-sharing provides a solution to this demand by offering on-demand access to vehicles without the need for ownership. This appeals to a wide range of customers, including urban dwellers who may not require a car on a daily basis and travelers who need temporary transportation.

Trends in the market: One of the key trends in the car-sharing market in NAFTA is the rise of ride-hailing platforms that have integrated car-sharing services into their offerings. This allows customers to seamlessly switch between different modes of transportation, such as taking a ride-hailing service for shorter distances and using a car-sharing service for longer trips. This integration of services provides customers with greater flexibility and convenience. Another trend in the car-sharing market is the increasing availability of electric and hybrid vehicles. As customers become more environmentally conscious, there is a growing demand for sustainable transportation options. Car-sharing companies are responding to this demand by adding electric and hybrid vehicles to their fleets, providing customers with the opportunity to reduce their carbon footprint while still enjoying the convenience of car-sharing.

Local special circumstances: The car-sharing market in NAFTA is also influenced by local special circumstances. For example, in densely populated urban areas, where parking is limited and expensive, car-sharing provides a cost-effective alternative to owning a car. Additionally, the presence of major cities with high levels of traffic congestion, such as New York City and Los Angeles, creates a strong demand for car-sharing services as customers seek to avoid the hassle of driving and parking in crowded areas.

Underlying macroeconomic factors: Underlying macroeconomic factors also play a role in the development of the car-sharing market in NAFTA. Economic growth and increasing disposable incomes in the region have led to a rise in consumer spending on transportation services. Additionally, government policies and regulations that promote sustainable transportation and reduce traffic congestion have created a favorable environment for the growth of the car-sharing market. In conclusion, the car-sharing market in NAFTA is experiencing significant growth and development due to customer preferences for flexible and sustainable transportation options, along with advancements in technology. The integration of car-sharing services into ride-hailing platforms and the increasing availability of electric and hybrid vehicles are key trends in this market. Local special circumstances, such as limited parking and high levels of traffic congestion, also contribute to the growth of car-sharing services. Lastly, underlying macroeconomic factors, including economic growth and government policies, create a favorable environment for the expansion of the car-sharing market in NAFTA.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car-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.