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E-Scooter-sharing - Iran

Iran

According to forecasts, the revenue in the E-Scooter-sharing market in Iran is expected to reach US$11.12m by 2024, with an anticipated annual growth rate (CAGR 2024-2029) of 31.04%.
This is projected to result in a market volume of US$42.96m by 2029.
It is expected that the number of users in this market will be 2.07m users by 2029, with a user penetration of 1.3% in 2024 and 2.2% by 2029.
The average revenue per user (ARPU) is predicted to be US$9.37.
Furthermore, it is projected that 100% of total revenue in the E-Scooter-sharing market will be generated through online sales by 2029.
In comparison to other countries, United States is expected to generate the most revenue, with US$730,200k anticipated in 2024.
E-scooter-sharing is slowly gaining traction in Iran, but regulatory hurdles and lack of infrastructure remain major challenges.

Key regions: China, Germany, Thailand, Saudi Arabia, India

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Analyst Opinion

The E-Scooter-sharing market in Iran has been experiencing significant growth in recent years.

Customer preferences: Customers in Iran are increasingly turning to e-scooter sharing as a convenient and environmentally friendly mode of transportation. The younger generation, in particular, is attracted to the ease of use and affordability of e-scooters. Additionally, the compact size of these vehicles makes them ideal for navigating through the congested streets of Iranian cities.

Trends in the market: One of the key trends in the e-scooter sharing market in Iran is the rapid expansion of service providers. Several companies have entered the market, offering a wide range of e-scooter options to cater to different customer preferences. This competition has led to lower prices and improved service quality, making e-scooter sharing an attractive option for a growing number of Iranians. Another trend in the market is the integration of e-scooter sharing services with existing transportation networks. Many cities in Iran have implemented bike lanes and designated parking areas for e-scooters, making it easier for users to access and park their vehicles. This integration has further contributed to the popularity of e-scooter sharing as a viable transportation option.

Local special circumstances: Iran's large and densely populated cities, such as Tehran and Mashhad, face significant traffic congestion and air pollution. E-scooter sharing provides a solution to these challenges by offering a more efficient and sustainable mode of transportation. The government has also recognized the potential benefits of e-scooters and has taken steps to support the growth of the market.

Underlying macroeconomic factors: The growth of the e-scooter sharing market in Iran can be attributed to several macroeconomic factors. Firstly, the country has a young and tech-savvy population, which is more open to adopting innovative transportation solutions. Secondly, the improving economic conditions in Iran have led to an increase in disposable income, allowing more people to afford e-scooter sharing services. Lastly, the government's focus on reducing air pollution and promoting sustainable transportation has created a favorable environment for the growth of the e-scooter sharing market. In conclusion, the e-scooter sharing market in Iran is experiencing significant growth due to customer preferences for convenience and affordability, as well as local circumstances such as traffic congestion and air pollution. The integration of e-scooter sharing services with existing transportation networks and the support from the government have also contributed to the market's development. These trends, along with underlying macroeconomic factors, indicate a positive outlook for the e-scooter sharing market in Iran.

Methodology

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of e-scooter-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.