Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Australia & Oceania has been witnessing significant growth in recent years.
Customer preferences: Customers in Australia & Oceania are increasingly opting for e-scooter-sharing services due to their convenience, affordability, and eco-friendly nature. E-scooters provide a convenient mode of transportation for short distances, allowing users to avoid traffic congestion and parking hassles. Additionally, the cost-effective nature of e-scooter-sharing services makes them an attractive option for budget-conscious customers. Moreover, the growing awareness about environmental sustainability has led to an increased preference for eco-friendly transportation options like e-scooters.
Trends in the market: One of the key trends in the e-scooter-sharing market in Australia & Oceania is the expansion of service providers. Several companies have entered the market, offering e-scooter-sharing services in major cities and tourist destinations. This increased competition has led to improved service quality and affordability for customers. Additionally, technological advancements in e-scooter design and battery efficiency have further contributed to the growth of the market. E-scooters are becoming more durable, lightweight, and capable of longer battery life, making them a more attractive option for customers.
Local special circumstances: Australia & Oceania, with its vast landscapes and diverse geography, presents unique challenges and opportunities for the e-scooter-sharing market. In urban areas, e-scooter-sharing services have gained popularity as a convenient mode of transportation for short distances. However, in more rural and remote areas, the market penetration of e-scooters is relatively lower due to limited infrastructure and lower population density. Nonetheless, e-scooter-sharing companies are exploring opportunities to expand their services to these areas by partnering with local communities and tourism boards.
Underlying macroeconomic factors: The growth of the e-scooter-sharing market in Australia & Oceania is also influenced by underlying macroeconomic factors. The region's strong economic growth and increasing urbanization have resulted in a higher demand for efficient and sustainable transportation options. Additionally, the rise of the sharing economy and the increasing popularity of ride-sharing and bike-sharing services have created a favorable environment for the growth of e-scooter-sharing. Furthermore, government initiatives promoting sustainable transportation and reducing carbon emissions have also played a role in driving the adoption of e-scooter-sharing services. In conclusion, the e-scooter-sharing market in Australia & Oceania is experiencing significant growth due to customer preferences for convenience, affordability, and eco-friendly transportation options. The expansion of service providers, technological advancements, and government initiatives have further fueled this growth. However, the market dynamics vary across different regions within Australia & Oceania, with urban areas witnessing higher adoption rates compared to rural and remote areas. Nonetheless, the overall outlook for the e-scooter-sharing market in Australia & Oceania remains positive, driven by the region's strong economic growth and increasing focus on sustainability.
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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