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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Portugal has been experiencing significant growth in recent years.
Customer preferences: One of the key factors driving the growth of the Bike-sharing market in Portugal is the increasing preference for eco-friendly transportation options. With growing awareness about the environmental impact of traditional modes of transportation, more and more people are opting for greener alternatives like bike-sharing. Additionally, the convenience and affordability of bike-sharing services have also contributed to their popularity among customers.
Trends in the market: One of the major trends in the Bike-sharing market in Portugal is the expansion of bike-sharing services to smaller cities and towns. Initially, bike-sharing services were primarily available in larger urban areas. However, with the success and increasing demand for these services, bike-sharing companies have started expanding their operations to smaller cities and towns as well. This trend is driven by the need to cater to a wider customer base and provide convenient transportation options in areas where public transportation may be limited. Another trend in the market is the integration of bike-sharing with other modes of transportation. Many bike-sharing companies in Portugal have partnered with public transportation systems to provide a seamless travel experience for customers. This integration allows customers to easily switch between different modes of transportation, combining the benefits of bike-sharing with other forms of public transportation.
Local special circumstances: Portugal's favorable climate and scenic landscapes make it an ideal location for bike-sharing. The country's mild winters and warm summers make it suitable for year-round cycling, attracting both locals and tourists. Additionally, Portugal's compact cities and well-connected urban areas make it convenient for people to use bike-sharing services for short-distance commuting.
Underlying macroeconomic factors: The growing Bike-sharing market in Portugal is also influenced by several macroeconomic factors. The government's efforts to promote sustainable transportation and reduce carbon emissions have played a significant role in the growth of the Bike-sharing market. Incentives such as tax benefits and subsidies for bike-sharing companies have encouraged their expansion and adoption by customers. Furthermore, the increasing trend of urbanization in Portugal has led to a higher demand for alternative transportation options. As cities become more crowded and traffic congestion increases, people are looking for convenient and efficient ways to commute. Bike-sharing provides a viable solution by offering a flexible and cost-effective mode of transportation. In conclusion, the Bike-sharing market in Portugal is experiencing growth due to customer preferences for eco-friendly transportation, the expansion of services to smaller cities and towns, the integration with other modes of transportation, Portugal's favorable climate and landscapes, and the government's efforts to promote sustainable transportation. These factors, along with the underlying macroeconomic trends, have contributed to the development and success of the Bike-sharing market in Portugal.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of bike-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)