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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Argentina is experiencing significant growth and development.
Customer preferences: Customers in Argentina are increasingly opting for bike-sharing services due to their convenience, affordability, and environmental friendliness. Bike-sharing allows users to easily access bicycles for short trips, reducing the need for private car ownership and promoting sustainable transportation options. Additionally, the flexibility of bike-sharing services appeals to customers who prefer not to be tied down to owning a bike.
Trends in the market: One of the key trends in the Bike-sharing market in Argentina is the expansion of bike-sharing services in urban areas. As more cities in Argentina implement bike-friendly infrastructure and promote cycling as a mode of transportation, the demand for bike-sharing services has grown. This trend is driven by the desire for improved mobility options and the need to reduce traffic congestion and air pollution in urban areas. Another trend in the market is the integration of bike-sharing with other modes of transportation. Many bike-sharing companies in Argentina are partnering with public transportation systems, such as buses and trains, to provide a seamless and efficient travel experience for customers. This integration allows users to easily combine bike-sharing with other modes of transportation, making it a more attractive option for daily commuting or exploring the city.
Local special circumstances: Argentina's unique geography and climate contribute to the growth of the Bike-sharing market. The country has a diverse landscape, ranging from bustling cities to scenic coastal areas and mountainous regions. This variety of environments makes biking an appealing option for both urban and rural residents, as well as tourists. Additionally, Argentina's mild climate allows for year-round bike-sharing usage, further driving the demand for these services.
Underlying macroeconomic factors: The Bike-sharing market in Argentina is also influenced by macroeconomic factors such as rising urbanization, increasing disposable income, and government support for sustainable transportation initiatives. As more people move to urban areas, the demand for alternative transportation options like bike-sharing increases. Additionally, the growth of the middle class in Argentina has led to higher disposable income, allowing more people to afford bike-sharing services. Lastly, the government's focus on sustainable transportation and reducing carbon emissions has resulted in policies and incentives that promote the use of bike-sharing. In conclusion, the Bike-sharing market in Argentina is growing due to customer preferences for convenience and sustainability, as well as the expansion of bike-friendly infrastructure and government support. The integration of bike-sharing with other modes of transportation and the country's diverse geography and climate further contribute to the market's development. With these trends and special circumstances, the Bike-sharing market in Argentina is poised for continued growth in the coming years.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of bike-sharing services.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)