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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Ukraine is experiencing significant growth and development in recent years.
Customer preferences: Customers in Ukraine are increasingly opting for bike-sharing services due to the numerous benefits they offer. Bike-sharing provides a convenient and affordable mode of transportation, especially for short-distance travel within cities. It allows users to avoid traffic congestion, reduce travel time, and enjoy the health benefits of cycling. Additionally, bike-sharing services often have user-friendly mobile applications that make it easy for customers to locate and rent bikes.
Trends in the market: One of the key trends in the Bike-sharing market in Ukraine is the expansion of bike-sharing networks in major cities. Companies are investing in infrastructure to provide a larger number of bikes and docking stations, making it more convenient for customers to access and return bikes. This expansion is driven by the increasing demand for bike-sharing services and the government's efforts to promote sustainable transportation options. Another trend in the market is the introduction of electric bikes in bike-sharing fleets. Electric bikes offer an alternative to traditional bicycles, allowing users to travel longer distances with less physical effort. This innovation has attracted a new segment of customers who may have been hesitant to use traditional bikes due to physical limitations or the need to travel longer distances.
Local special circumstances: Ukraine is a country with a high population density in urban areas, which contributes to traffic congestion and limited parking spaces. Bike-sharing services provide a solution to these challenges by offering a flexible and efficient mode of transportation. Additionally, the government has implemented initiatives to promote cycling and improve cycling infrastructure, such as dedicated bike lanes and bike-friendly policies. These factors create a favorable environment for the growth of the Bike-sharing market in Ukraine.
Underlying macroeconomic factors: The growth of the Bike-sharing market in Ukraine is also influenced by macroeconomic factors. The country has experienced economic growth in recent years, leading to an increase in disposable income and a higher standard of living. This has resulted in a greater willingness among consumers to spend on convenience and sustainable transportation options. Furthermore, the COVID-19 pandemic has led to a shift in consumer behavior, with more people opting for individual modes of transportation to maintain social distancing. Bike-sharing services have emerged as a popular choice in this context, as they provide a safe and reliable means of travel. In conclusion, the Bike-sharing market in Ukraine is growing rapidly due to customer preferences for convenient and sustainable transportation options. The expansion of bike-sharing networks, the introduction of electric bikes, and the government's support for cycling infrastructure are driving this growth. Additionally, macroeconomic factors such as economic growth and the impact of the COVID-19 pandemic have further accelerated the development of the market.
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)