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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in EMEA has been experiencing significant growth in recent years, driven by changing customer preferences, emerging market trends, and local special circumstances.
Customer preferences: Customers in the EMEA region have shown a growing preference for sustainable and eco-friendly transportation options. Bike-sharing provides an affordable and convenient solution for short-distance travel, reducing the reliance on cars and public transportation. Additionally, the rise of health and wellness trends has also contributed to the popularity of bike-sharing, as it promotes physical activity and a healthier lifestyle.
Trends in the market: One of the key trends in the Bike-sharing market in EMEA is the expansion of dockless bike-sharing systems. These systems allow users to rent and park bikes anywhere within a designated area, without the need for docking stations. This flexibility has made bike-sharing more accessible and convenient for users, leading to increased adoption rates. Another trend in the market is the integration of bike-sharing with other modes of transportation. Many cities in the EMEA region have implemented bike-sharing as part of a larger mobility ecosystem, which includes public transportation, ride-sharing, and walking. This integration allows users to easily switch between different modes of transportation, providing a seamless and efficient travel experience.
Local special circumstances: The Bike-sharing market in EMEA is influenced by a variety of local special circumstances. For example, the high population density in cities like London and Paris has created a demand for alternative transportation options that can alleviate traffic congestion. Bike-sharing provides a practical solution for short-distance travel in these densely populated areas. Additionally, the presence of tourist attractions and cultural landmarks in many EMEA cities has also contributed to the growth of bike-sharing. Tourists often prefer to explore cities on bikes, allowing them to experience the local culture and attractions at their own pace. Bike-sharing services cater to this demand, offering tourists a convenient and cost-effective way to explore their surroundings.
Underlying macroeconomic factors: The growth of the Bike-sharing market in EMEA can also be attributed to underlying macroeconomic factors. The increasing urbanization and population growth in the region have created a need for efficient and sustainable transportation solutions. Bike-sharing addresses these needs by providing a flexible and environmentally friendly mode of transportation. Furthermore, government initiatives and policies aimed at reducing carbon emissions and promoting sustainable transportation have also played a significant role in the development of the Bike-sharing market in EMEA. Many cities have implemented bike-sharing programs as part of their efforts to create greener and more livable urban environments. In conclusion, the Bike-sharing market in EMEA is experiencing growth due to changing customer preferences, emerging market trends, local special circumstances, and underlying macroeconomic factors. The demand for sustainable and convenient transportation options, integration with other modes of transportation, high population density in cities, presence of tourist attractions, and government initiatives all contribute to the development and expansion of the Bike-sharing market in the region.
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)