Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in New Zealand has seen significant growth and development in recent years.
Customer preferences: Customers in New Zealand have shown a strong preference for convenient and eco-friendly transportation options. The rise of e-scooter sharing services can be attributed to the increasing demand for last-mile transportation solutions. With the growing urban population and the need for efficient mobility, e-scooters have become a popular choice among commuters and tourists alike.
Trends in the market: One of the key trends in the e-scooter-sharing market in New Zealand is the expansion of service providers. Several companies have entered the market, offering their e-scooter sharing services in major cities across the country. This has led to increased competition and innovation in the industry. Additionally, there has been a shift towards dockless e-scooter sharing systems, allowing users to easily locate and rent e-scooters through mobile applications. This convenience has further contributed to the popularity of e-scooter sharing in New Zealand.
Local special circumstances: New Zealand's unique geography and urban layout make it an ideal market for e-scooter sharing. The country has a number of compact and walkable cities, making it easier for e-scooter riders to navigate through congested areas. Furthermore, New Zealand's commitment to sustainability and reducing carbon emissions aligns with the eco-friendly nature of e-scooters. The government has also been supportive of e-scooter sharing initiatives, implementing regulations to ensure the safety of riders and pedestrians.
Underlying macroeconomic factors: The growth of the e-scooter-sharing market in New Zealand can be attributed to several underlying macroeconomic factors. The country's strong economy and high disposable income levels have increased consumer spending power, allowing for the adoption of new and innovative transportation services. Additionally, the rise of the sharing economy globally has influenced consumer behavior, with more individuals opting for shared mobility solutions rather than traditional car ownership. This shift towards shared transportation has created a favorable environment for the e-scooter-sharing market to thrive. In conclusion, the e-scooter-sharing market in New Zealand has experienced significant growth due to customer preferences for convenient and eco-friendly transportation options. The expansion of service providers, the shift towards dockless systems, and the country's unique geography and urban layout have contributed to the popularity of e-scooter sharing. Furthermore, underlying macroeconomic factors such as a strong economy and the rise of the sharing economy have created a favorable environment for the market to develop.
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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