Shared Mobility - North America

  • North America
  • The Shared Mobility market, which is an emerging market that offers various transportation options to users, is expected to see a significant rise in revenue in North AmeriBased on the projection, the revenue in this market is estimated to reach US$359,100.00m by 2024, with an annual growth rate of 1.98% between the years 2024 to 2029.
  • This growth is expected to result in a projected market volume of US$396,100.00m by 2029.
  • The largest market of the Shared Mobility market in North America is Flights, which is expected to generate a market volume of US$163,400.00m in 2024.
  • Additionally, the number of users in the Public Transportation market is expected to reach 244.90m users by 2029.
  • The user penetration rate in this market is 80.8% in 2024 and is expected to increase to 84.8% by 2029.
  • Furthermore, the average revenue per user (ARPU) is expected to be US$870.70.
  • In terms of sales, the online platform is predicted to generate 76% of the total revenue by 2029.
  • Lastly, when compared globally, China is projected to generate the most revenue in this market, with US$365bn in 2024.
  • In North America, the shared mobility market is rapidly growing with the rise of electric scooters and bike-sharing programs in major cities.

Key regions: United States, Saudi Arabia, Germany, Malaysia, India

 
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Analyst Opinion

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

Customer preferences:
Customers in North America are increasingly seeking convenient and cost-effective transportation options, leading to a rise in the popularity of shared mobility services. The desire for flexibility and sustainability is driving individuals to choose shared mobility over traditional modes of transportation.

Trends in the market:
In North America, the Shared Mobility market is witnessing a trend towards the integration of various modes of transportation within a single platform. This trend is driven by the need for seamless and efficient travel experiences. Additionally, there is a growing emphasis on electric and autonomous vehicles in shared mobility services, aligning with the region's focus on sustainability and innovation.

Local special circumstances:
North America's vast geographical expanse and diverse urban landscapes contribute to the unique development of the Shared Mobility market in different cities and regions. For instance, densely populated urban centers like New York City may see a higher demand for short-term shared mobility solutions, while sprawling metropolitan areas like Los Angeles may prioritize ride-sharing services for longer distances.

Underlying macroeconomic factors:
The economic prosperity and technological advancement in North America play a significant role in shaping the Shared Mobility market. The presence of major tech companies and startups in the region has fostered innovation in shared mobility services, leading to a wide range of options for consumers. Moreover, the regulatory environment and government support for sustainable transportation initiatives further drive the growth of the Shared Mobility market in North America.

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.

Overview

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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