Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Georgia has been experiencing significant growth in recent years. Customer preferences for convenient and eco-friendly transportation options, along with favorable local circumstances and macroeconomic factors, have contributed to this trend.
Customer preferences: Customers in Georgia have shown a strong preference for convenient and efficient transportation options. E-Scooter-sharing services provide a flexible and affordable alternative to traditional modes of transportation, such as cars or public transportation. The ease of renting and riding e-scooters appeals to a wide range of customers, including commuters, students, and tourists.
Trends in the market: One of the key trends in the E-Scooter-sharing market in Georgia is the increasing adoption of e-scooters by urban dwellers. As cities become more crowded and congested, people are looking for alternative modes of transportation that can help them navigate through traffic more easily. E-scooters offer a convenient solution, allowing users to travel short distances quickly and efficiently. Another trend in the market is the expansion of e-scooter-sharing services to suburban areas. Initially, e-scooter-sharing services were primarily available in major cities. However, as the popularity of e-scooters continues to grow, companies are expanding their operations to suburban areas, providing residents with access to this convenient mode of transportation.
Local special circumstances: Georgia has a favorable climate for e-scooter usage throughout the year. The country experiences mild winters and warm summers, making it conducive for outdoor activities, including riding e-scooters. This favorable climate encourages people to use e-scooters as a mode of transportation, further driving the growth of the market. Furthermore, Georgia has a well-developed tourism industry, with many visitors coming to explore its historical sites, natural landscapes, and vibrant cities. E-scooter-sharing services offer tourists a convenient and efficient way to explore the country, contributing to the demand for such services.
Underlying macroeconomic factors: The growing E-Scooter-sharing market in Georgia can also be attributed to favorable macroeconomic factors. The country has experienced steady economic growth in recent years, leading to an increase in disposable income among the population. As people have more disposable income, they are more likely to spend on convenient and innovative services like e-scooter-sharing. Additionally, the government of Georgia has been supportive of sustainable transportation initiatives. They have implemented policies and regulations that encourage the use of eco-friendly modes of transportation, including e-scooters. This support from the government has created a conducive environment for the growth of the E-Scooter-sharing market in Georgia. In conclusion, the E-Scooter-sharing market in Georgia is experiencing significant growth due to customer preferences for convenient and eco-friendly transportation options, favorable local circumstances, and supportive macroeconomic factors. As the market continues to expand, it is expected to play a crucial role in the country's transportation landscape.
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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