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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
Bike-sharing has gained significant popularity in Southeast Asia in recent years, with several countries in the region experiencing a boom in the market. Customer preferences in the Bike-sharing market in Southeast Asia are driven by the region's high population density, traffic congestion, and a growing awareness of environmental sustainability. The convenience and affordability of bike-sharing services make them an attractive option for short-distance travel, especially in urban areas where public transportation may be crowded or inefficient. Additionally, the popularity of bike-sharing is fueled by the region's young and tech-savvy population, who are eager to embrace innovative transportation solutions. Trends in the market vary across different countries in Southeast Asia. In some countries, such as Singapore and Malaysia, dockless bike-sharing services have gained significant traction. These services allow users to locate and unlock bikes using smartphone apps, providing a seamless and convenient experience. This trend is driven by the region's high smartphone penetration rate and the increasing popularity of mobile payment systems. In other countries like Thailand and Indonesia, docked bike-sharing systems are more prevalent. These systems require users to pick up and return bikes at designated docking stations, ensuring better bike availability and reducing the risk of vandalism or theft. This trend is influenced by the local infrastructure and security considerations. Local special circumstances also play a role in shaping the Bike-sharing market in Southeast Asia. In countries with limited public transportation options, such as Cambodia and Vietnam, bike-sharing fills a crucial gap in the transportation ecosystem. It provides an affordable and flexible mode of transportation for both locals and tourists, contributing to the growth of the market. Underlying macroeconomic factors further contribute to the development of the Bike-sharing market in Southeast Asia. The region's rapid urbanization and economic growth have led to increased demand for transportation solutions. Governments and local authorities are also actively promoting sustainable transportation initiatives to reduce traffic congestion and air pollution. This favorable regulatory environment encourages the entry of bike-sharing companies and drives market expansion. In conclusion, the Bike-sharing market in Southeast Asia is experiencing significant growth due to customer preferences for convenience, affordability, and environmental sustainability. The market is characterized by a variety of trends, including the adoption of dockless and docked bike-sharing systems. Local special circumstances and underlying macroeconomic factors also contribute to the development of the market. As the region continues to urbanize and prioritize sustainable transportation, the Bike-sharing market is expected to thrive 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)