Key regions: United States, Saudi Arabia, Germany, Malaysia, India
The Shared Mobility market in Pakistan has been experiencing significant growth and evolution in recent years.
Customer preferences: Customers in Pakistan are increasingly valuing convenience, affordability, and sustainability when it comes to transportation options. Shared Mobility services such as ride-hailing, bike-sharing, and carpooling are becoming popular choices among urban dwellers who seek cost-effective and efficient ways to navigate the congested city streets.
Trends in the market: One prominent trend in the Shared Mobility market in Pakistan is the rise of motorcycle ride-hailing services. Motorcycles are a common mode of transportation in the country, and the introduction of app-based ride-hailing platforms for motorcycles has revolutionized the way people move around cities. This trend caters to the unique needs of Pakistani consumers and provides a practical solution to traffic congestion.
Local special circumstances: Pakistan's unique market dynamics, including a large population, rapid urbanization, and infrastructural challenges, have contributed to the growth of Shared Mobility services in the country. The demand for convenient and affordable transportation options in major cities like Karachi, Lahore, and Islamabad has created a fertile ground for Shared Mobility companies to thrive and expand their operations.
Underlying macroeconomic factors: The increasing smartphone penetration and internet connectivity in Pakistan have played a crucial role in the growth of the Shared Mobility market. With more people gaining access to mobile technology, the adoption of ride-hailing and other Shared Mobility services has become more widespread. Additionally, the changing preferences of a young and tech-savvy population have further fueled the demand for innovative transportation solutions in the country.
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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