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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Eastern Asia has been experiencing significant growth in recent years. Customer preferences in the Bike-sharing market in Eastern Asia are driven by the region's large population and high urbanization rate. With densely populated cities and limited parking space, many people in Eastern Asia are turning to bike-sharing as a convenient and eco-friendly mode of transportation. Additionally, the younger generation in the region is increasingly health-conscious and environmentally aware, making bike-sharing an attractive option for them. One of the key trends in the Bike-sharing market in Eastern Asia is the adoption of smart technology. Bike-sharing companies are leveraging advanced technology to improve user experience and streamline operations. Mobile apps allow users to easily locate and unlock bikes, while GPS tracking systems enable companies to efficiently manage their fleets. This trend towards smart technology is not only enhancing convenience for users but also increasing the efficiency and profitability of bike-sharing companies. Another trend in the Bike-sharing market in Eastern Asia is the expansion of dockless bike-sharing systems. Unlike traditional docked systems, dockless bike-sharing allows users to pick up and drop off bikes anywhere within a designated service area. This flexibility has made dockless bike-sharing popular among users, as it eliminates the need to find a docking station. However, the rapid growth of dockless bike-sharing has also led to challenges such as bike clutter and vandalism, prompting some cities to implement regulations to address these issues. Local special circumstances in the Bike-sharing market in Eastern Asia include the unique geography and infrastructure of the region. Many cities in Eastern Asia have well-developed cycling infrastructure, including dedicated bike lanes and bike parking facilities. This infrastructure has created a favorable environment for bike-sharing and encourages more people to use bicycles as a mode of transportation. Underlying macroeconomic factors also play a role in the development of the Bike-sharing market in Eastern Asia. The region's strong economic growth has led to rising disposable incomes, allowing more people to afford bike-sharing services. Additionally, government support and initiatives to promote sustainable transportation have further boosted the growth of the Bike-sharing market. In conclusion, the Bike-sharing market in Eastern Asia is experiencing significant growth due to customer preferences for convenient and eco-friendly transportation options. The adoption of smart technology and the expansion of dockless bike-sharing systems are key trends in the market. Local special circumstances, such as well-developed cycling infrastructure, and underlying macroeconomic factors, including strong economic growth and government support, are also contributing to the market's development.
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)