Key regions: China, Germany, Thailand, Saudi Arabia, India
The E-Scooter-sharing market in Colombia is experiencing significant growth and development.
Customer preferences: Colombian customers are increasingly opting for e-scooter-sharing services due to their convenience and affordability. The younger population, in particular, is attracted to the ease of use and the ability to navigate through congested urban areas quickly. Additionally, the environmentally friendly nature of e-scooters aligns with the growing sustainability consciousness among consumers.
Trends in the market: One of the key trends in the e-scooter-sharing market in Colombia is the entry of multiple players. Several local and international companies have entered the market, leading to increased competition and innovation. This has resulted in improved services, such as better app interfaces, longer battery life, and enhanced safety features. Another trend is the expansion of e-scooter-sharing services beyond major cities. Initially, these services were concentrated in urban centers, but they are now expanding to smaller cities and towns. This expansion is driven by the increasing demand for last-mile transportation solutions in these areas.
Local special circumstances: Colombia's urban areas face significant traffic congestion, making e-scooters an attractive alternative to traditional modes of transportation. The compact size and maneuverability of e-scooters allow users to navigate through traffic more efficiently, saving time and reducing frustration. Additionally, the warm climate in Colombia makes e-scooters a popular choice for short-distance travel. The pleasant weather encourages people to choose outdoor transportation options, and e-scooters provide a convenient and enjoyable way to get around.
Underlying macroeconomic factors: Colombia'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, there is a greater demand for alternative mobility solutions. Furthermore, the government's support for sustainable transportation initiatives has played a role in the growth of the e-scooter-sharing market. Policies promoting eco-friendly transportation options and reducing carbon emissions have encouraged the adoption of e-scooters as a viable mode of transportation. In conclusion, the e-scooter-sharing market in Colombia is witnessing rapid growth due to customer preferences for convenience and affordability, as well as the expansion of services beyond major cities. The local special circumstances of traffic congestion and a warm climate further contribute to the popularity of e-scooters. Additionally, underlying macroeconomic factors, such as urbanization and government support for sustainable transportation, are driving the market's development.
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.
Mon - Fri, 9am - 6pm (EST)
Mon - Fri, 9am - 5pm (SGT)
Mon - Fri, 10:00am - 6:00pm (JST)
Mon - Fri, 9:30am - 5pm (GMT)
Mon - Fri, 9am - 6pm (EST)
