Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Mexico has been experiencing significant growth in recent years. Customer preferences for convenient and eco-friendly transportation options have driven the demand for e-scooter-sharing services. Additionally, several trends in the market have contributed to its development.
Customer preferences: Customers in Mexico are increasingly seeking convenient and efficient transportation options. E-scooter-sharing services provide a flexible and affordable mode of transport, allowing users to easily navigate through congested urban areas. Moreover, the environmentally friendly nature of e-scooters appeals to customers who are conscious of their carbon footprint.
Trends in the market: One of the key trends in the e-scooter-sharing market in Mexico is the integration of technology. Companies are leveraging mobile applications to enable users to locate and unlock e-scooters, making the rental process seamless and user-friendly. This technological integration also allows for efficient fleet management and maintenance. Another trend in the market is the expansion of e-scooter-sharing services to suburban areas. Initially, these services were primarily available in major cities, but companies have recognized the demand in suburban areas as well. This expansion has opened up new customer segments and increased the accessibility of e-scooters for a wider population.
Local special circumstances: Mexico's urban areas face challenges such as traffic congestion and limited parking spaces. E-scooter-sharing services offer a solution to these issues by providing a convenient alternative to traditional modes of transportation. The compact size of e-scooters allows users to navigate through congested streets and park easily, reducing the overall traffic burden. Furthermore, Mexico has a large population of young adults who are tech-savvy and open to adopting new transportation options. This demographic is a key target market for e-scooter-sharing companies, as they are more likely to embrace the convenience and sustainability aspects of e-scooters.
Underlying macroeconomic factors: Mexico's growing middle class and increasing urbanization have contributed to the development of the e-scooter-sharing market. As more people move to cities and experience the challenges of urban transportation, the demand for alternative modes of transport, such as e-scooters, continues to rise. Additionally, government initiatives to promote sustainable transportation and reduce air pollution have created a favorable environment for the e-scooter-sharing market. Mexico City, for example, has implemented regulations to encourage the use of electric vehicles, including e-scooters, as part of its efforts to combat pollution. In conclusion, the e-scooter-sharing market in Mexico is growing due to customer preferences for convenient and eco-friendly transportation options. The integration of technology, expansion to suburban areas, and the unique local circumstances of traffic congestion and limited parking spaces have further fueled the market's development. Additionally, underlying macroeconomic factors such as Mexico's growing middle class and government initiatives to promote sustainable transportation have contributed to the market's growth.
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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