Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Australia has seen significant growth in recent years, driven by changing customer preferences and local special circumstances.
Customer preferences: Customers in Australia are increasingly looking for convenient and affordable transportation options. E-Scooter-sharing provides a flexible and environmentally friendly alternative to traditional modes of transportation such as cars or public transport. The ease of use and accessibility of e-scooters appeals to a wide range of customers, including commuters, tourists, and students. Additionally, the younger generation, in particular, is drawn to the tech-savvy nature of e-scooter-sharing, as it aligns with their digital lifestyles.
Trends in the market: One of the key trends in the Australian E-Scooter-sharing market is the expansion of services to new cities and regions. Initially concentrated in major cities such as Sydney and Melbourne, e-scooter-sharing companies are now expanding their operations to smaller cities and regional areas. This expansion is driven by the success of e-scooter-sharing in larger cities and the recognition of the demand for convenient transportation options in other areas. Another trend in the market is the increasing competition among e-scooter-sharing companies. With the growing popularity of e-scooters, more companies are entering the market, leading to a greater choice for customers. This competition is driving innovation and improvements in the quality of e-scooters and the overall user experience.
Local special circumstances: Australia's urban landscape and climate contribute to the growth of the E-Scooter-sharing market. The country has a relatively mild climate, which makes it conducive for outdoor activities such as riding e-scooters. Additionally, Australia's cities are known for their compact layouts and well-connected infrastructure, making them ideal for e-scooter-sharing services. The availability of bike lanes and dedicated paths for alternative modes of transportation further enhances the appeal of e-scooters.
Underlying macroeconomic factors: Australia's strong economy and high urbanization rate have also contributed to the growth of the E-Scooter-sharing market. With a high proportion of the population living in urban areas, there is a greater demand for efficient and sustainable transportation options. The country's robust economy has also provided a favorable environment for investment in the e-scooter-sharing sector, enabling companies to expand their operations and improve their services. In conclusion, the E-Scooter-sharing market in Australia is developing rapidly due to changing customer preferences, the expansion of services to new cities and regions, local special circumstances such as the urban landscape and climate, and underlying macroeconomic factors such as a strong economy and high urbanization rate. The future of the market looks promising, with further growth expected as more customers embrace the convenience and sustainability of e-scooter-sharing.
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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