Contact
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)
Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in Austria has experienced significant growth in recent years, driven by changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors.
Customer preferences: Austrian customers have shown a growing interest in bike-sharing services due to their convenience, affordability, and environmental benefits. With an increasing emphasis on sustainability, many individuals are opting for bike-sharing as a greener alternative to traditional modes of transportation. Moreover, the flexibility and ease of access offered by bike-sharing services have appealed to customers seeking a convenient and efficient way to travel short distances within urban areas.
Trends in the market: One of the key trends in the Austrian Bike-sharing market is the integration of technology. Bike-sharing companies are leveraging mobile applications and smart locks to enhance user experience and streamline operations. These technological advancements have made it easier for customers to locate and unlock bikes, as well as track their usage and payment details. Additionally, the integration of electric bikes in bike-sharing fleets has gained popularity, providing customers with an eco-friendly and efficient mode of transportation.
Local special circumstances: Austria's well-developed cycling infrastructure and bike-friendly urban planning have contributed to the growth of the Bike-sharing market. The country's extensive network of bike lanes and dedicated cycling paths makes it an ideal environment for bike-sharing services to thrive. Furthermore, the government's initiatives to promote cycling as a sustainable mode of transportation have created a favorable environment for bike-sharing companies to expand their operations.
Underlying macroeconomic factors: The growth of the Bike-sharing market in Austria is also influenced by underlying macroeconomic factors. Rising urbanization and congestion in major cities have led to increased demand for alternative transportation options, including bike-sharing. Additionally, the growing awareness of the environmental impact of traditional modes of transportation has prompted individuals to seek greener alternatives, further driving the demand for bike-sharing services. The availability of affordable and high-quality bikes, coupled with favorable economic conditions, has also contributed to the market's growth. In conclusion, the Bike-sharing market in Austria has experienced significant growth due to changing customer preferences, emerging trends in the market, local special circumstances, and underlying macroeconomic factors. The convenience, affordability, and environmental benefits offered by bike-sharing services have resonated with Austrian customers, leading to increased adoption. With the integration of technology and the government's support for cycling infrastructure, the Bike-sharing market in Austria is expected to continue its upward trajectory in the coming years.
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)