Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market has seen significant growth and development in recent years, with a number of factors driving this trend.
Customer preferences: Customers are increasingly looking for convenient and eco-friendly transportation options, and e-scooter sharing services provide a solution to this demand. E-scooters are compact, easy to use, and can navigate through traffic congestion, making them a popular choice for short-distance travel in urban areas. Additionally, the affordability and flexibility of e-scooter sharing services appeal 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 is the expansion of services to new cities and countries worldwide. As more cities embrace the concept of micromobility and adopt regulations to accommodate e-scooter sharing, companies are seizing the opportunity to enter new markets. This expansion is driven by the potential for high demand and the opportunity to establish a strong presence in emerging markets. Another trend is the integration of e-scooter sharing services with existing transportation networks. Many cities are working towards creating a seamless multimodal transportation system, where e-scooters can be easily accessed and used in conjunction with other modes of transportation such as buses, trains, and bicycles. This integration not only enhances the overall transportation experience for users but also helps to alleviate traffic congestion and reduce carbon emissions.
Local special circumstances: The development of the e-scooter sharing market is influenced by local factors and circumstances in each country. For example, in densely populated cities with limited parking spaces, e-scooters offer a convenient alternative to traditional cars or motorcycles. In tourist destinations, e-scooter sharing services cater to the needs of visitors who want to explore the city without the hassle of renting a car or relying on public transportation. Additionally, countries with a strong focus on sustainability and reducing carbon emissions are more likely to embrace e-scooter sharing as a viable transportation option.
Underlying macroeconomic factors: The growth of the e-scooter sharing market is also supported by underlying macroeconomic factors. The rise of the sharing economy, advancements in technology, and the increasing availability of affordable electric scooters have all contributed to the expansion of e-scooter sharing services. Furthermore, government initiatives and policies that promote sustainable transportation and reduce reliance on private vehicles have created a favorable environment for e-scooter sharing companies to thrive. In conclusion, the e-scooter sharing market is experiencing significant growth and development worldwide due to customer preferences for convenient and eco-friendly transportation options. The expansion of services to new cities and countries, the integration with existing transportation networks, and the influence of local special circumstances are all driving this trend. Additionally, underlying macroeconomic factors such as the rise of the sharing economy and government initiatives to promote sustainable transportation play a significant role in the development of the 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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