Shared Mobility - Argentina

  • Argentina
  • Argentina is expected to witness a significant growth in the Shared Mobility market, with its revenue projected to reach US$18,850.00m by 2024.
  • The market is expected to grow at an annual growth rate of 4.27%, resulting in a projected market volume of US$23,230.00m by 2029.
  • The largest market in Argentina's Shared Mobility market is Flights, with a projected market volume of US$10,040.00m in 2024.
  • In the Public Transportation market, the number of users is expected to reach 29,920.00k users by 2029.
  • The user penetration rate is projected to be 94.9% in 2024, which is expected to increase to 95.0% by 2029.
  • The projected average revenue per user (ARPU) for Argentina is US$431.20.
  • By 2029, 68% of the total revenue in Argentina's Shared Mobility market will be generated through online sales.
  • It is interesting to note that in global comparison, China is expected to generate the most revenue in the Shared Mobility market, with its revenue projected to reach US$365bn in 2024.
  • Argentina's shared mobility market is seeing an increase in demand for electric scooters and bikes as a more sustainable alternative to traditional transportation options.

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

 
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Analyst Opinion

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

Customer preferences:
Argentinian consumers are increasingly opting for shared mobility services due to the convenience and cost-effectiveness they offer. With the rise of urbanization and traffic congestion in major cities, people are turning to shared mobility options as a more efficient way to commute. Additionally, the younger generation, in particular, is embracing the concept of shared mobility as they prioritize sustainability and flexibility in their transportation choices.

Trends in the market:
One noticeable trend in the Shared Mobility market in Argentina is the increasing popularity of bike-sharing and scooter-sharing services. These options provide a convenient and environmentally friendly way for people to navigate through congested urban areas. Moreover, ride-hailing services are also gaining traction, offering an alternative to traditional taxi services. The market is witnessing a shift towards more diverse shared mobility solutions to cater to the varying needs of consumers.

Local special circumstances:
Argentina's Shared Mobility market is influenced by unique local circumstances such as government regulations and infrastructure development. The government's support for sustainable transportation initiatives and the improvement of bike lanes and public transportation systems have contributed to the growth of shared mobility services in the country. Additionally, the cultural shift towards sharing economy models is further driving the adoption of shared mobility solutions among Argentinian consumers.

Underlying macroeconomic factors:
The economic landscape in Argentina plays a significant role in shaping the Shared Mobility market. As the country faces economic challenges and fluctuating fuel prices, consumers are seeking cost-effective transportation options, making shared mobility services an attractive choice. Moreover, the increasing smartphone penetration and digital payment systems in Argentina have facilitated the widespread adoption of shared mobility platforms, making it easier for people to access and use these services.

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
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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