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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in North Macedonia has been experiencing significant growth in recent years. Customer preferences, trends in the market, local special circumstances, and underlying macroeconomic factors have all contributed to the development of the bike-sharing industry in the country.
Customer preferences: In North Macedonia, there is a growing preference for sustainable and eco-friendly transportation options. Bike-sharing services offer a convenient and affordable alternative to traditional modes of transportation, such as cars or public transportation. Customers appreciate the flexibility and convenience of being able to rent a bike for short trips, especially in urban areas with heavy traffic congestion. Additionally, the health and fitness benefits associated with cycling have also contributed to the popularity of bike-sharing services among health-conscious individuals.
Trends in the market: The Bike-sharing market in North Macedonia has witnessed a proliferation of bike-sharing companies in recent years. This trend can be attributed to the increasing demand for alternative transportation options and the willingness of entrepreneurs to invest in this emerging market. These companies have introduced innovative features, such as mobile applications for easy bike rental and payment, which have further fueled the growth of the Bike-sharing market. Moreover, partnerships with local municipalities and businesses have helped expand the reach and accessibility of bike-sharing services.
Local special circumstances: North Macedonia is a small country with a population concentrated in urban areas. The compact nature of cities and towns makes cycling an attractive mode of transportation for short-distance travel. Furthermore, the country's favorable weather conditions, with mild winters and warm summers, make it conducive to outdoor activities like cycling. The government's efforts to promote sustainable transportation and reduce traffic congestion have also played a role in encouraging the adoption of bike-sharing services.
Underlying macroeconomic factors: The Bike-sharing market in North Macedonia has been supported by favorable macroeconomic factors. The country has experienced steady economic growth in recent years, leading to an increase in disposable income levels. This has allowed individuals to allocate a portion of their income towards transportation options, including bike-sharing services. Additionally, the government's investments in infrastructure development, including the construction of bike lanes and parking facilities, have created a conducive environment for the growth of the bike-sharing industry. In conclusion, the Bike-sharing market in North Macedonia has been driven by customer preferences for sustainable transportation options, the introduction of innovative features by bike-sharing companies, the country's favorable weather conditions and compact urban areas, and the support of favorable macroeconomic factors. These factors have contributed to the development and growth of the bike-sharing industry in North Macedonia.
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)