Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in GCC has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of this market.
Customer preferences: Customers in the GCC region have shown a growing interest in alternative modes of transportation, particularly those that are more sustainable and environmentally friendly. E-Scooter-sharing services provide a convenient and efficient way for people to travel short distances, without the need for a personal vehicle. This appeals to customers who are looking for a cost-effective and eco-friendly option for their daily commute or leisure activities.
Trends in the market: One of the key trends in the E-Scooter-sharing market in the GCC is the increasing adoption of smart mobility solutions. As technology continues to advance, E-Scooter-sharing companies are incorporating features such as GPS tracking, mobile apps, and digital payment systems to enhance the user experience. These technological advancements not only make it easier for customers to access and use E-Scooter-sharing services but also contribute to the overall growth and development of the market. Another trend in the market is the expansion of E-Scooter-sharing services to new cities and regions within the GCC. As more cities recognize the benefits of E-Scooter-sharing, they are implementing regulations and infrastructure to support the growth of this market. This expansion is driven by the increasing demand for alternative transportation options and the willingness of local governments to invest in sustainable mobility solutions.
Local special circumstances: The GCC region is known for its hot climate, which can make outdoor activities less appealing during certain times of the year. However, E-Scooter-sharing services have gained popularity in the region due to their convenience and flexibility. E-Scooters are lightweight and easy to maneuver, making them a practical choice for navigating crowded urban areas. Additionally, the compact size of E-Scooters allows for easy parking and reduces congestion on the roads.
Underlying macroeconomic factors: The economic growth and urbanization in the GCC region have played a significant role in the development of the E-Scooter-sharing market. With increasing disposable incomes and a growing middle class, more people are able to afford E-Scooter-sharing services. Additionally, rapid urbanization has led to an increase in traffic congestion and a greater need for sustainable transportation options. E-Scooter-sharing services provide a solution to these challenges, offering a convenient and efficient mode of transportation for both residents and visitors in the GCC region. In conclusion, the E-Scooter-sharing market in the GCC is developing due to customer preferences for sustainable transportation options, trends in the market such as smart mobility solutions and expansion to new cities, local special circumstances such as the hot climate, and underlying macroeconomic factors including economic growth and urbanization. As these factors continue to drive the growth of the market, we can expect to see further expansion and innovation in the E-Scooter-sharing industry in the GCC region.
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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