Contact
Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
Key regions: United States, Saudi Arabia, Germany, Malaysia, India
The Shared Mobility market in BRICS countries is witnessing significant growth and evolution, driven by changing customer preferences, unique local circumstances, and underlying macroeconomic factors.
Customer preferences: Customers in BRICS countries are increasingly valuing convenience, affordability, and sustainability when it comes to transportation options. Shared mobility services such as ride-hailing, bike-sharing, and car-sharing are gaining popularity due to their flexibility and cost-effectiveness. The younger demographic, in particular, is more inclined towards shared mobility solutions as they seek convenient and on-demand transportation options.
Trends in the market: In Brazil, ride-hailing services are experiencing a surge in demand, especially in urban areas with high congestion levels. The convenience of booking a ride through a mobile app and the competitive pricing offered by ride-hailing companies are driving the market growth. Additionally, bike-sharing services are becoming popular in cities like Sao Paulo and Rio de Janeiro, promoting eco-friendly transportation alternatives. In Russia, car-sharing services are gaining traction as they provide a flexible and affordable way to commute in major cities like Moscow and St. Petersburg. The convenience of picking up and dropping off a car at different locations appeals to customers looking for short-term transportation solutions. Moreover, ride-hailing services are also on the rise, offering commuters a convenient way to navigate through busy city streets. In India, the Shared Mobility market is witnessing rapid expansion, fueled by the increasing penetration of smartphones and the growing digital payment ecosystem. Ride-hailing services are widely used across major cities, offering customers a safe and reliable mode of transportation. Additionally, bike-sharing and electric scooter services are gaining popularity, especially among the younger population looking for sustainable transportation options. In China, the Shared Mobility market is one of the most advanced and diverse in the world. With the presence of major ride-hailing companies and bike-sharing giants, customers have a wide range of options to choose from. The integration of artificial intelligence and big data analytics has further enhanced the efficiency of shared mobility services, providing customers with personalized and seamless transportation experiences.
Local special circumstances: Each BRICS country has its unique set of local circumstances that influence the Shared Mobility market. Factors such as infrastructure development, regulatory environment, cultural norms, and urbanization rates play a crucial role in shaping customer preferences and market trends. Understanding these local dynamics is essential for shared mobility companies to tailor their services and strategies effectively.
Underlying macroeconomic factors: The Shared Mobility market in BRICS countries is also influenced by macroeconomic factors such as GDP growth, disposable income levels, urbanization rates, and technological advancements. As the middle-class population expands and urbanization accelerates, the demand for convenient and cost-effective transportation solutions is expected to grow. Moreover, the increasing adoption of digital technologies and the rise of smart cities are driving the evolution of the Shared Mobility market in BRICS countries.
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.Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)