Key regions: United States, Germany, South America, Indonesia, Malaysia
The Car-sharing market in Turkey is experiencing significant growth and development. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors are all contributing to this positive trajectory. Customer preferences in Turkey are shifting towards more sustainable and cost-effective transportation options. As the population becomes more environmentally conscious, there is a growing demand for alternative modes of transportation that reduce carbon emissions. Car-sharing provides a solution by allowing individuals to access a vehicle when needed, without the burden of ownership and associated costs. Additionally, the younger generation in Turkey is more inclined towards sharing economy models, valuing experiences over possessions. This shift in mindset is driving the adoption of car-sharing services. Trends in the car-sharing market in Turkey are also contributing to its development. The emergence of digital platforms and smartphone applications has made it easier for individuals to access and book car-sharing services. These platforms provide a seamless user experience, allowing customers to find and reserve a vehicle with just a few taps on their smartphones. This convenience factor has significantly increased the popularity of car-sharing in Turkey. Furthermore, the availability of a wide range of vehicle options, from compact cars to SUVs, caters to the diverse needs and preferences of customers. Local special circumstances in Turkey are also driving the growth of the car-sharing market. The country has a large urban population, especially in major cities like Istanbul and Ankara, where traffic congestion and limited parking spaces are common issues. Car-sharing offers a practical solution for individuals who need occasional access to a vehicle without the hassle of finding parking or dealing with traffic. Additionally, the high cost of car ownership, including fuel, maintenance, and insurance, makes car-sharing an attractive alternative for many Turks. Underlying macroeconomic factors are also playing a role in the development of the car-sharing market in Turkey. The country has experienced steady economic growth in recent years, leading to an increase in disposable income for many individuals. This rise in income levels has made car-sharing more affordable and accessible to a larger segment of the population. Additionally, the government has implemented supportive policies and regulations to encourage the growth of the sharing economy, including car-sharing. These policies create a favorable environment for car-sharing companies to operate and expand their services in Turkey. In conclusion, the Car-sharing market in Turkey is experiencing growth and development due to customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors. The shift towards more sustainable and cost-effective transportation options, the convenience of digital platforms, the urban population's need for practical transportation solutions, and the supportive policies and regulations all contribute to the positive trajectory of the car-sharing market in Turkey.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car-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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