Key regions: United States, Saudi Arabia, Germany, Malaysia, India
The Shared Mobility market in Iran has been experiencing significant growth and development in recent years.
Customer preferences: Customers in Iran are increasingly looking for convenient and cost-effective transportation options, leading to a rise in demand for shared mobility services. With the growing urban population and traffic congestion in major cities, people are turning to shared mobility solutions as a more efficient way to commute.
Trends in the market: One of the key trends in the Shared Mobility market in Iran is the increasing popularity of ride-hailing services. Companies offering ride-hailing apps have seen a surge in users as more people opt for on-demand transportation. Additionally, carpooling services have gained traction among commuters looking to split costs and reduce their carbon footprint.
Local special circumstances: Iran's unique regulatory environment and infrastructure challenges have shaped the Shared Mobility market in the country. The government's restrictions on foreign companies operating within its borders have paved the way for local players to dominate the market. Moreover, the availability of affordable smartphones and widespread internet access have facilitated the adoption of shared mobility services among the tech-savvy Iranian population.
Underlying macroeconomic factors: The economic landscape in Iran, including factors such as disposable income levels and fuel prices, plays a significant role in shaping the Shared Mobility market. Fluctuations in fuel prices have a direct impact on the demand for shared mobility services, as people seek alternative transportation options during periods of high fuel costs. Additionally, the overall economic stability of the country influences consumer spending behavior and their willingness to invest in shared mobility solutions.
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings, revenues, and online shares of car rentals, ride-hailing, taxi, car-sharing, bike-sharing, e-scooter-sharing, moped-sharing, trains, buses, public transportation, and flights.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.
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