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