Key regions: India, Thailand, Malaysia, China, South America
The E-Scooter-sharing market in Turkey has been experiencing significant growth in recent years.
Customer preferences: Customers in Turkey are increasingly opting for e-scooter-sharing services due to their convenience and affordability. E-scooters are a popular mode of transportation for short distances, especially in crowded urban areas where parking is limited. Additionally, the younger generation in Turkey is more environmentally conscious and prefers using eco-friendly modes of transportation. E-scooters provide a greener alternative to traditional gas-powered vehicles, making them a popular choice among environmentally conscious consumers.
Trends in the market: One of the key trends in the e-scooter-sharing market in Turkey is the increasing number of players entering the market. Several international and local companies have launched their e-scooter-sharing services in major cities across the country. This competition has led to a wider availability of e-scooters and more options for customers to choose from. Furthermore, companies are continuously improving their technology and user experience to attract and retain customers. This includes features such as mobile apps for easy booking and payment, GPS tracking, and user-friendly interfaces.
Local special circumstances: Turkey's urban areas, particularly Istanbul, are densely populated and face significant traffic congestion. This has led to an increased demand for alternative modes of transportation, such as e-scooters. E-scooters are small and agile, allowing riders to navigate through traffic more easily and reach their destinations faster. Additionally, the relatively flat terrain in many Turkish cities makes e-scooters a practical and efficient mode of transportation.
Underlying macroeconomic factors: Turkey's growing middle class and increasing urbanization have contributed to the growth of the e-scooter-sharing market. As more people move to urban areas, the demand for convenient and affordable transportation options has risen. E-scooters provide a cost-effective alternative to owning a car or using public transportation, making them an attractive option for many urban dwellers. Furthermore, the government of Turkey has been supportive of sustainable transportation initiatives, which has created a favorable regulatory environment for e-scooter-sharing companies to operate. In conclusion, the e-scooter-sharing market in Turkey is developing rapidly due to customer preferences for convenience and eco-friendly transportation options. The increasing number of players in the market, along with continuous technological advancements, has led to a wider availability of e-scooters and improved user experience. The unique local circumstances, such as traffic congestion and flat terrain, further contribute to the popularity of e-scooters in Turkey. Additionally, the country's growing middle class and supportive government policies have created a favorable macroeconomic environment for the growth of the e-scooter-sharing market.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-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.
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