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Bike-sharing - MENA

MENA

Revenue in the Bike-sharing market is projected to reach US$197.50m in 2024.
Revenue is expected to show an annual growth rate (CAGR 2024-2029) of 11.23%, resulting in a projected market volume of US$336.30m by 2029.
In the Bike-sharing market, the number of users is expected to amount to 29.29m users by 2029.
User penetration is projected to be 3.6% in 2024 and 4.8% by 2029.
The average revenue per user (ARPU) is expected to amount to US$9.72.
In the Bike-sharing market, 93% of total revenue will be generated through online sales by 2029.
In global comparison, most revenue will be generated in China (US$5,515m in 2024).

Key regions: South America, Malaysia, India, Indonesia, Saudi Arabia

Definition:

The Bike-sharing market includes short-term bike-sharing services. In bike-sharing services, bicycles are generally owned by a bike-sharing provider and are independently reserved by customers around the clock. Customers are required to open an account with the bike-sharing provider and can then reserve bicycles. This is usually done with a smartphone app, but there are also service providers that allow reservations to be made via the provider's website, by telephone, or at a terminal.

The two most frequently used bike-sharing varieties are the following: station-based (e.g., Stadtrad and Citi Bike New York) and free-floating (such as nextbike and ofo). With station-based bike-sharing, a bicycle is retrieved from a bike-sharing station and returned to either the same station or dropped off at another station. With free-floating bike-sharing, it is possible to find bicycles everywhere within the service provider's business zone and leave the bicycle anywhere in accordance with traffic regulations. Peer-to-peer bike-sharing is not included in the market definition of this market. Moped-sharing services are not available in all countries; thus, only a limited number of countries and regions can be selected.

Additional Information:

The main performance indicators of the Bike-sharing market are revenues, average revenue per user (ARPU), user numbers and user penetration rates. Additionally, online and offline sales channel shares display the distribution of online and offline bookings. The ARPU refers to the average revenue one user generates per year while the revenue represents the total booking volume. Revenues are generated through both online and offline sales channels and include exclusively B2C revenues and users for the mentioned market. User numbers show only those individuals who have made a reservation, independent of the number of travelers on the booking. Each user is only counted once per year.

The booking volume includes all booked rides made by users from the selected region, regardless of where the ride took place.

For further information on the data displayed, refer to the info button right next to each box.

Market

Region

Region comparison

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Analyst Opinion

The Bike-sharing market in the Middle East and North Africa (MENA) region is experiencing significant growth and development.

Customer preferences: Customers in the MENA region are increasingly embracing bike-sharing services due to several factors. Firstly, there is a growing awareness and concern for the environment, leading to a preference for sustainable transportation options. Bike-sharing provides a convenient and eco-friendly alternative to traditional modes of transportation. Secondly, the rise of urbanization and congestion in cities across the region has made bike-sharing an attractive option for short-distance travel, as it offers a quicker and more flexible means of transportation. Additionally, the younger population in MENA countries, who are more tech-savvy and open to new experiences, are driving the demand for bike-sharing services.

Trends in the market: One of the key trends in the Bike-sharing market in MENA is the adoption of dockless bike-sharing systems. Unlike traditional docked systems, dockless bike-sharing allows users to pick up and drop off bikes anywhere within a designated service area. This flexibility has proven to be popular among customers, as it eliminates the need to search for docking stations and provides greater convenience. Furthermore, the integration of smartphone apps and GPS technology has made it easier for users to locate and unlock bikes, further enhancing the user experience.

Local special circumstances: The unique cultural and social factors in the MENA region have influenced the development of the Bike-sharing market. For example, in countries such as Saudi Arabia and the United Arab Emirates, where there are restrictions on women's mobility, bike-sharing has provided an opportunity for women to travel independently and safely within designated areas. This has contributed to the increased adoption of bike-sharing services among women in these countries.

Underlying macroeconomic factors: Several macroeconomic factors are driving the growth of the Bike-sharing market in MENA. Firstly, governments in the region are actively promoting sustainable transportation solutions to reduce traffic congestion and air pollution. They are investing in infrastructure development, such as dedicated bike lanes and parking facilities, to support the growth of bike-sharing services. Secondly, the increasing number of tourists visiting the region has created a demand for convenient and affordable transportation options. Bike-sharing provides an attractive and cost-effective way for tourists to explore cities and tourist attractions. Lastly, the rise of smart cities and digital transformation initiatives in the region has created a favorable environment for the growth of bike-sharing services. The integration of bike-sharing into smart city ecosystems allows for seamless connectivity and data-driven insights, enhancing the overall user experience.

Methodology

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.