Definition:
The Ride-hailing market encompasses on-demand transportation services facilitated through mobile apps or online platforms. This market covers both private vehicle rides and taxi services, all booked exclusively online. It includes Transportation Network Companies (TNCs), such as Uber and Lyft, traditional taxis booked via apps, such as Free Now or Cabify, and ride-pooling services, such as Moia and Via. This market excludes peer-to-peer ride-sharing, focusing on professionally operated transport services booked digitally for efficient and convenient urban mobility. Rides of traditional taxi services hailed on the street or booked via telephone are not included in this market.
Additional Information:
The main performance indicators of the Ride-hailing 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.
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Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
The Ride-hailing market in Lebanon has experienced significant growth in recent years, driven by changing customer preferences and local special circumstances.
Customer preferences: Lebanese customers have shown a growing preference for ride-hailing services due to their convenience and reliability. With the rise of smartphone usage in the country, people are increasingly relying on ride-hailing apps to book their transportation. The ability to track the driver's location, estimated time of arrival, and cashless payment options have made ride-hailing a popular choice for many Lebanese consumers. Additionally, the availability of various vehicle options, including economy, luxury, and shared rides, caters to the diverse needs and preferences of customers.
Trends in the market: One of the key trends in the ride-hailing market in Lebanon is the increasing competition among different service providers. Several local and international companies have entered the market, offering their ride-hailing services to Lebanese customers. This competition has led to improved service quality, competitive pricing, and innovative features to attract and retain customers. Furthermore, ride-hailing companies are expanding their services beyond major cities, reaching more remote areas in Lebanon. This trend is driven by the growing demand for transportation options in these areas and the desire to tap into previously untapped markets.
Local special circumstances: Lebanon's challenging traffic conditions and limited public transportation infrastructure have created a favorable environment for the growth of the ride-hailing market. The country's congested roads and lack of reliable public transportation options have made ride-hailing an attractive alternative for many Lebanese residents. Furthermore, the safety and security concerns associated with traditional taxis have also contributed to the popularity of ride-hailing services. Lebanese customers appreciate the ability to track their ride and share their location with friends or family members for added safety.
Underlying macroeconomic factors: Lebanon's ride-hailing market has also been influenced by underlying macroeconomic factors. The country has experienced economic challenges in recent years, including high unemployment rates and inflation. This has led many individuals to seek alternative sources of income, such as becoming ride-hailing drivers. The flexibility and earning potential offered by ride-hailing platforms have attracted many Lebanese individuals to join the gig economy. Additionally, the availability of ride-hailing services has also contributed to job creation in the country. In conclusion, the ride-hailing market in Lebanon has grown rapidly due to changing customer preferences, local special circumstances, and underlying macroeconomic factors. The convenience, reliability, and safety offered by ride-hailing services have made them a popular choice for many Lebanese consumers. With increasing competition and expanding services, the ride-hailing market in Lebanon is expected to continue its growth trajectory in the coming years.
Most recent update: Jul 2024
Source: Statista Market Insights
Most recent update: Jul 2024
Source: Statista Market Insights
Data coverage:
The data encompasses B2C enterprises. Figures are based on bookings and revenues of ride-hailing 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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update: Sep 2024
Source: Statista Market Insights