Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Canada has been experiencing significant growth in recent years.
Customer preferences: Customers in Canada are increasingly turning to e-scooter-sharing services as a convenient and eco-friendly mode of transportation. The younger generation, in particular, is drawn to the flexibility and affordability that e-scooters offer. These customers value the convenience of being able to easily locate and unlock e-scooters using smartphone apps, and the ability to ride them for short distances without the need for parking or fuel. Additionally, the environmentally-conscious nature of e-scooters aligns with the preferences of many Canadians who are seeking sustainable transportation options.
Trends in the market: One of the key trends in the e-scooter-sharing market in Canada is the expansion of services to more cities. Initially, e-scooter-sharing services were limited to a few major cities, but they are now being introduced in smaller cities and towns across the country. This expansion is driven by the success of e-scooter-sharing services in larger cities and the growing demand for alternative transportation options in less congested areas. Another trend in the market is the increasing competition among e-scooter-sharing companies. As the market continues to grow, more companies are entering the space, offering customers a wider range of options to choose from. This competition is driving innovation and improvements in the quality of e-scooters and the overall user experience.
Local special circumstances: Canada's climate poses unique challenges for e-scooter-sharing companies. The cold winters in many parts of the country can limit the usability of e-scooters, as customers may be less inclined to ride them in freezing temperatures or on snowy roads. As a result, e-scooter-sharing companies often suspend their services during the winter months in certain regions. However, in cities with milder climates or where winter maintenance is well-managed, e-scooter-sharing services can still operate year-round.
Underlying macroeconomic factors: The growth of the e-scooter-sharing market in Canada is also influenced by underlying macroeconomic factors. The country's strong economy and high urbanization rates contribute to the demand for convenient and efficient transportation options. Additionally, government initiatives aimed at reducing carbon emissions and promoting sustainable transportation play a role in driving the adoption of e-scooter-sharing services. These factors create a favorable environment for the growth of the e-scooter-sharing market in Canada. Overall, the e-scooter-sharing market in Canada is thriving due to customer preferences for convenient and sustainable transportation options, the expansion of services to more cities, increasing competition among companies, and underlying macroeconomic factors such as a strong economy and government support for sustainable transportation. While challenges such as the cold climate in certain regions exist, the market is expected to continue growing as more Canadians embrace e-scooter-sharing as a viable mode of transportation.
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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