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Mon - Fri, 10:00am - 6:00pm (JST)
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Mon - Fri, 9am - 6pm (EST)
Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in LATAM is witnessing significant growth and development, driven by changing customer preferences, emerging trends, and local special circumstances. Customer preferences in the Bike-sharing market in LATAM are shifting towards more sustainable and eco-friendly transportation options. With increasing concerns about climate change and the need to reduce carbon emissions, consumers are actively seeking alternatives to traditional modes of transportation. Bike-sharing provides a convenient and cost-effective solution, allowing users to easily access bicycles for short trips or daily commutes. Additionally, the health benefits associated with cycling are also attracting customers who are looking to incorporate physical activity into their daily routines. Trends in the market indicate that bike-sharing services are expanding rapidly across various countries in LATAM. The demand for bike-sharing is particularly high in urban areas with heavy traffic congestion and limited parking spaces. These services offer a flexible and efficient mode of transportation, allowing users to avoid traffic jams and reach their destinations quickly. Furthermore, the integration of technology, such as mobile applications and smart locks, has made it easier for customers to locate and unlock bikes, further enhancing the convenience and accessibility of bike-sharing services. Local special circumstances also contribute to the growth of the Bike-sharing market in LATAM. Many cities in the region face challenges related to inadequate public transportation infrastructure and limited access to affordable transportation options. Bike-sharing services fill this gap by providing a convenient and affordable mode of transportation for both short and long distances. Moreover, the relatively low cost of setting up and operating bike-sharing systems compared to other transportation modes makes it an attractive option for local governments and private companies. Underlying macroeconomic factors also play a role in the development of the Bike-sharing market in LATAM. Economic growth and rising disposable incomes in the region have increased the affordability of bike-sharing services, making them more accessible to a larger segment of the population. Additionally, government initiatives and incentives to promote sustainable transportation further contribute to the growth of the market. These factors create a favorable environment for bike-sharing companies to expand their operations and attract more customers. In conclusion, the Bike-sharing market in LATAM is experiencing significant growth due to changing customer preferences, emerging trends, local special circumstances, and underlying macroeconomic factors. The demand for sustainable and convenient transportation options, coupled with the expansion of bike-sharing services and the support of local governments, is driving the development of the market in the region. As the market continues to evolve, it is expected to play a crucial role in addressing transportation challenges and promoting sustainable urban mobility in LATAM.
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)