Ride-hailing - Lesotho
Lesotho- Lesotho is expected to witness a significant growth in revenue in the Ride-hailing market.
- According to the projection, revenue in this market is estimated to reach US$****m by **** with an annual growth rate of ****%, resulting in a projected market volume of US$****m by ****.
- It is also expected that the number of users in Lesotho will amount to ******k users by ****, with a user penetration rate of ****% in **** and ****% in ****.
- The average revenue per user (ARPU) is projected to be US$*****.
- Furthermore, in the Ride-hailing market in Lesotho, ***% of the total revenue is expected to be generated through online sales by ****.
- It is worth noting that in the global comparison, China is projected to generate the most revenue, which amounts to US$**bn in ****.
- Despite the lack of ride-hailing services in Lesotho, traditional taxi services remain popular and reliable for locals and tourists alike.
- Key regions:
- South America,
- Europe,
- China,
- Saudi Arabia,
- Malaysia
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.
For further information on the data displayed, refer to the info button right next to each box.
- Platforms that let users book rides offered by drivers using their private vehicles (e.g., Uber)
- Taxi companies that offer their services through an app (e.g., Free Now)
- Platforms that offer shared rides (ride-pooling) with other passengers (e.g., Moia, Via)
Revenue
Sales Channels
Analyst Opinion
Customer preferences: Customers in Lesotho are increasingly turning to ride-hailing services due to their convenience and affordability. The ability to book a ride with just a few taps on a smartphone has made transportation more accessible for many individuals. Additionally, ride-hailing services often offer competitive pricing compared to traditional taxi services, attracting cost-conscious customers.
Trends in the market: One of the key trends in the ride-hailing market in Lesotho is the increasing competition among ride-hailing companies. As more players enter the market, customers have a wider range of options to choose from. This competition has led to innovations in service offerings, such as the introduction of ride-sharing options and the integration of additional services like food delivery. Another trend in the market is the growing adoption of cashless payment methods. Many ride-hailing companies in Lesotho have implemented digital payment systems, allowing customers to pay for their rides using mobile wallets or credit cards. This shift towards cashless payments not only improves convenience for customers but also helps to reduce the risk of theft and fraud.
Local special circumstances: Lesotho's unique geographical landscape and transportation infrastructure have contributed to the growth of the ride-hailing market. With its mountainous terrain and limited public transportation options, traditional taxi services can be challenging to access in certain areas. Ride-hailing services provide a more flexible and reliable transportation solution, particularly in rural and remote areas where public transportation is scarce.
Underlying macroeconomic factors: The growth of the ride-hailing market in Lesotho is also influenced by underlying macroeconomic factors. The country has experienced steady economic growth in recent years, leading to an increase in disposable income for many individuals. This has resulted in a higher demand for transportation services, including ride-hailing. Additionally, the rise of the digital economy and the increasing penetration of smartphones have created a favorable environment for the expansion of ride-hailing services. Overall, the ride-hailing market in Lesotho is thriving due to customer preferences for convenience and affordability, the emergence of new trends in the market, the unique local circumstances, and the positive macroeconomic factors. As the market continues to evolve, it is expected that ride-hailing services will play an increasingly important role in the transportation landscape of Lesotho.
Users
Global Comparison
Methodology
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.Get in touch with us for additional information
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