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Key regions: United States, Saudi Arabia, Germany, Malaysia, India
The Shared Mobility market in EMEA is witnessing a significant shift in consumer preferences and market trends, driven by various local special circumstances and underlying macroeconomic factors.
Customer preferences: Customers in the EMEA region are increasingly prioritizing convenience, affordability, and sustainability when it comes to transportation options. Shared Mobility services such as ride-hailing, car-sharing, and bike-sharing are gaining popularity due to their cost-effectiveness and flexibility. Users are also showing a growing interest in multi-modal transportation solutions that offer seamless connectivity between different modes of transport.
Trends in the market: In Europe, the Shared Mobility market is experiencing a surge in electric vehicle (EV) adoption, with many shared mobility operators incorporating electric cars and scooters into their fleets. This trend is driven by stringent emissions regulations, government incentives for EVs, and growing environmental consciousness among consumers. Additionally, peer-to-peer car sharing platforms are gaining traction in countries like Germany and France, enabling individuals to rent out their vehicles to others when not in use. In the Middle East, ride-hailing services are dominating the Shared Mobility market, with companies like Careem and Uber expanding their presence across the region. The popularity of ride-hailing can be attributed to factors such as high car ownership costs, limited public transportation options, and a young tech-savvy population. Moreover, the introduction of female-only ride-hailing services in countries like Saudi Arabia has further fueled market growth and catered to specific cultural preferences.
Local special circumstances: In Africa, Shared Mobility services are addressing the challenge of inadequate public transportation infrastructure in many urban areas. Companies like Gozem in West Africa and SWVL in Egypt are revolutionizing the way people commute by offering affordable and reliable transportation options through mobile apps. These services are particularly popular among the growing urban population in Africa, where traffic congestion and limited transport options are common issues.
Underlying macroeconomic factors: The Shared Mobility market in EMEA is also influenced by broader macroeconomic factors such as urbanization, population growth, and regulatory policies. As cities become more crowded and car ownership costs rise, consumers are turning to shared transportation solutions as a convenient and cost-effective alternative. Government initiatives to reduce traffic congestion, improve air quality, and promote sustainable mobility are further driving the adoption of Shared Mobility services across the region.
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.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)