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Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia
The Bike-sharing market in United Arab Emirates has been experiencing significant growth in recent years, driven by the increasing popularity of sustainable transportation options and the government's efforts to promote cycling as a means of reducing traffic congestion and carbon emissions.
Customer preferences: Customers in the United Arab Emirates are increasingly opting for bike-sharing services due to their convenience and affordability. Bike-sharing allows users to easily rent a bike for short trips, providing a flexible and environmentally-friendly alternative to traditional modes of transportation. Additionally, the availability of bike-sharing services in popular tourist areas has made it an attractive option for visitors who want to explore the city at their own pace.
Trends in the market: One of the key trends in the Bike-sharing market in the United Arab Emirates is the adoption of dockless bike-sharing systems. Unlike traditional docked systems, dockless bike-sharing allows users to locate and unlock bikes using a smartphone app, providing greater flexibility and convenience. This trend has been driven by advancements in GPS technology and the increasing popularity of mobile applications. Another trend in the market is the integration of bike-sharing services with public transportation networks. This allows users to easily combine bike-sharing with other modes of transportation, such as buses or trains, to complete their journey. This integration promotes multi-modal transportation and encourages more people to choose cycling as a viable transportation option.
Local special circumstances: The United Arab Emirates has a unique set of circumstances that contribute to the development of the Bike-sharing market. Firstly, the country has a well-developed infrastructure, with dedicated cycling lanes and paths in many cities. This makes cycling a safe and convenient option for commuters and leisure riders alike. Additionally, the government has been actively promoting cycling as a means of reducing traffic congestion and carbon emissions. This has led to the implementation of various initiatives and policies to encourage the use of bicycles, including the construction of cycling infrastructure and the introduction of bike-sharing programs.
Underlying macroeconomic factors: The growth of the Bike-sharing market in the United Arab Emirates is also influenced by underlying macroeconomic factors. The country has a high population density, particularly in urban areas, which creates a demand for efficient and sustainable transportation options. Additionally, the United Arab Emirates has a strong tourism industry, with millions of visitors each year. Bike-sharing services cater to the needs of both residents and tourists, providing a convenient and eco-friendly mode of transportation. In conclusion, the Bike-sharing market in the United Arab Emirates is experiencing significant growth due to customer preferences for convenient and affordable transportation options, as well as the government's efforts to promote cycling. The adoption of dockless bike-sharing systems and the integration with public transportation networks are key trends in the market. The country's well-developed infrastructure, government initiatives, high population density, and thriving tourism industry are underlying macroeconomic factors that contribute to the growth of the market.
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)