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Shared Mobility - NAFTA

NAFTA

  • The Shared Mobility market is set to experience impressive growth in NAFTA as revenue is expected to reach US$******bn in ****, with a projected CAGR of ****% for the period of *********.
  • This will result in a projected market volume of US$******bn by ****.
  • The largest market, Flights, is expected to reach a market volume of US$******bn in ****.
  • By ****, the number of Public Transportation users is expected to increase to ******m users.
  • In ****, user penetration is predicted to be ****%, increasing to ****% by ****.
  • The ARPU is expected to be around US$******.
  • By ****, **% of total revenue in the Shared Mobility market is expected to come from online sales.
  • Compared to the rest of the world, China is expected to generate the most revenue, with US$***bn in ****.
  • The rise of electric scooters and bike-sharing services has led to increased competition among shared mobility providers in NAFTA.

Revenue

Sales Channels

Analyst Opinion

The Shared Mobility market in NAFTA has been experiencing significant growth and evolution in recent years.

Customer preferences:
Customers in the NAFTA region are increasingly seeking convenient and cost-effective transportation options, leading to a rise in demand for shared mobility services. The flexibility and ease of access provided by shared mobility solutions appeal to a wide range of consumers looking for alternatives to traditional car ownership.

Trends in the market:
In the United States, ride-hailing services have become particularly popular, with major players expanding their presence and offering additional services such as food delivery. Mexico has seen a surge in bike-sharing and scooter-sharing services, catering to the growing need for sustainable urban transportation solutions. Canada, on the other hand, has witnessed the emergence of car-sharing platforms that target both urban and suburban areas.

Local special circumstances:
The unique urban landscapes and transportation infrastructure in each NAFTA country have influenced the development of shared mobility services. In the United States, the vast size of cities and suburban areas has driven the adoption of ride-hailing and car-sharing services to bridge transportation gaps. Mexico's densely populated cities have created a demand for compact and agile shared mobility options like bike-sharing and scooters. Canada's mix of urban centers and sprawling suburbs has led to a diverse Shared Mobility market with offerings tailored to different community needs.

Underlying macroeconomic factors:
Economic factors such as rising urbanization, changing consumer behaviors, and advancements in technology have played a significant role in shaping the Shared Mobility market in NAFTA. As more people move to urban areas and prioritize sustainability, shared mobility services have gained traction as viable transportation solutions. Additionally, the increasing penetration of smartphones and the availability of digital payment systems have made it easier for consumers to access and use shared mobility platforms. The competitive landscape and regulatory environment in each country also influence the growth and direction of the Shared Mobility market in NAFTA.

Users

Global Comparison

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.

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.

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