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 Kazakhstan has witnessed significant growth in recent years, driven by changing customer preferences and favorable market conditions.
Customer preferences: In Kazakhstan, customers are increasingly opting for ride-hailing services due to their convenience, affordability, and safety features. With the rise of smartphone penetration and improved internet connectivity, more people are embracing digital platforms for transportation. Ride-hailing companies have capitalized on this trend by offering user-friendly apps, multiple payment options, and 24/7 customer support. Moreover, customers appreciate the transparency and accountability provided by ride-hailing services, as they can track their rides in real-time and share their location with friends and family for added security.
Trends in the market: One of the key trends in the ride-hailing market in Kazakhstan is the growing popularity of shared rides. Shared rides allow customers to split the cost of the trip with other passengers heading in the same direction, making it a cost-effective option for daily commuters. This trend not only reduces congestion on the roads but also contributes to a more sustainable transportation system. Additionally, ride-hailing companies are expanding their services beyond urban areas to cater to the needs of customers in suburban and rural regions. This expansion is driven by the increasing demand for convenient transportation options in these areas.
Local special circumstances: Kazakhstan has a vast territory and diverse geography, which presents unique challenges for transportation. The country's harsh weather conditions, especially during winter, make ride-hailing services an attractive option for residents who want to avoid driving in challenging road conditions. Moreover, the growing urbanization in major cities like Almaty and Nur-Sultan has led to increased traffic congestion, making ride-hailing services a more efficient alternative to private car ownership. Additionally, the government of Kazakhstan has implemented regulations to ensure the safety and quality of ride-hailing services, which has further boosted customer confidence in these platforms.
Underlying macroeconomic factors: The development of the ride-hailing market in Kazakhstan is also influenced by underlying macroeconomic factors. The country has experienced steady economic growth in recent years, leading to an increase in disposable income and urbanization. This has resulted in a larger customer base for ride-hailing companies. Furthermore, the government's focus on digitalization and innovation has created a conducive environment for the growth of the ride-hailing industry. The availability of venture capital funding and supportive policies have encouraged the entry of new players in the market, fostering competition and driving innovation. In conclusion, the ride-hailing market in Kazakhstan is growing rapidly due to changing customer preferences, such as convenience and safety, along with favorable market conditions. The increasing popularity of shared rides and the expansion of services to suburban and rural areas are key trends in the market. The country's unique geography, government regulations, and underlying macroeconomic factors also contribute to the development of the ride-hailing industry in Kazakhstan.
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