Shared Mobility - Brazil

  • Brazil
  • Brazil's Shared Mobility market is expected to witness a surge in revenue in the coming years.
  • The revenue is projected to reach €24,060.00m by 2024, with an annual growth rate (CAGR 2024-2029) of 2.36%.
  • This growth is expected to result in a projected market volume of €27,030.00m by 2029.
  • The largest market is Flights, with a projected market volume of €10,080.00m in 2024.
  • As per estimates, the number of users in the Public Transportation market is expected to reach 149.00m users by 2029.
  • The user penetration rate in the country is projected to increase from 71.0% in 2024 to 75.2% by 2029.
  • The average revenue per user (ARPU) is expected to be €155.80.
  • Furthermore, it is estimated that 63% of total revenue in the Shared Mobility market will be generated through online sales by 2029.
  • In the global comparison, China is expected to generate the most revenue in the Shared Mobility market, reaching €338bn in 2024.
  • The shared mobility market in Brazil is experiencing a surge in demand due to the country's growing middle class and increasing urbanization.

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

 
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Analyst Opinion

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

Customer preferences:
Customers in Brazil are increasingly looking for convenient and cost-effective transportation options, which has fueled the demand for shared mobility services. The younger population, in particular, is more inclined towards using shared mobility solutions due to their flexibility and affordability.

Trends in the market:
One prominent trend in the Shared Mobility market in Brazil is the rise of bike-sharing services in urban areas. With growing concerns about traffic congestion and environmental sustainability, more people are opting for bike-sharing as a mode of transportation. Additionally, the integration of technology, such as mobile apps for booking and payment, has made shared mobility services more accessible and user-friendly for customers in Brazil.

Local special circumstances:
Brazil's unique geographical and infrastructural challenges have influenced the development of the Shared Mobility market in the country. The vast size of the country and uneven distribution of population in urban areas have led to a greater emphasis on shared mobility solutions as a way to address transportation needs efficiently. Moreover, the cultural inclination towards social interactions and community engagement has contributed to the popularity of shared mobility services in Brazil.

Underlying macroeconomic factors:
The economic landscape in Brazil, including factors such as income inequality and fluctuating fuel prices, has played a significant role in shaping the Shared Mobility market. As disposable incomes vary across different segments of the population, shared mobility services offer a more inclusive transportation option that caters to a wider range of customers. Additionally, the volatility in fuel prices has made shared mobility solutions a more attractive and stable alternative for customers seeking predictable transportation costs.

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.

Visión general

  • Revenue
  • Sales Channels
  • Analyst Opinion
  • Users
  • Mode of Transportation
  • User Demographics
  • Global Comparison
  • Methodology
  • Key Market Indicators
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