Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Americas is experiencing significant growth and development.
Customer preferences: Customers in the Americas are increasingly opting for e-scooter sharing services due to their convenience, affordability, and eco-friendly nature. E-scooters provide a flexible and efficient mode of transportation for short distances, especially in congested urban areas. The ease of finding and unlocking e-scooters through mobile apps has also contributed to their popularity among customers.
Trends in the market: One of the key trends in the e-scooter sharing market in the Americas is the expansion of service providers. Numerous companies have entered the market, leading to increased competition and a wider range of options for customers. This has resulted in improved service quality, lower prices, and enhanced customer experience. Additionally, e-scooter sharing services are being integrated into existing transportation systems, allowing customers to seamlessly switch between different modes of transport.
Local special circumstances: The Americas consist of diverse countries and cities, each with its own unique characteristics and transportation challenges. In densely populated urban areas, such as New York City and Mexico City, e-scooters have gained popularity as a solution to traffic congestion and limited parking space. In tourist destinations like Miami and Los Angeles, e-scooter sharing services provide visitors with a convenient and fun way to explore the city. Moreover, the presence of universities and colleges in many cities has created a strong demand for e-scooter sharing among students.
Underlying macroeconomic factors: The growth of the e-scooter sharing market in the Americas can be attributed to several macroeconomic factors. Firstly, the increasing urbanization and population density in many cities have created a need for alternative modes of transportation that are efficient and sustainable. Secondly, the rising awareness and concern for environmental issues have prompted individuals to seek greener transportation options, leading to the popularity of e-scooters. Lastly, advancements in technology and the widespread use of smartphones have made it easier for customers to access and use e-scooter sharing services. In conclusion, the e-scooter sharing market in the Americas is witnessing significant growth due to customer preferences for convenience and affordability, as well as the unique local circumstances and underlying macroeconomic factors. The expansion of service providers and integration with existing transportation systems are further driving the market's development. As urbanization and environmental consciousness continue to increase, the demand for e-scooter sharing is expected to grow even further in the Americas.
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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