Taxi - Argentina | Statista Market Forecast

The Taxi market in Argentina is projected to experience significant growth in the coming years.
By 2024, the revenue in this market is expected to reach US$1.02bn.
This growth trend is expected to continue, with an annual growth rate (CAGR 2024-2029) of -0.09%.
As a result, the market volume is projected to reach US$1.02bn by 2029.
In terms of user base, the number of users in the Taxi market is expected to increase to 7.99m users by 2029.
This indicates a steady growth in user penetration, which is projected to be 19.1% in 2024 and 16.9% by 2029.
The average revenue per user (ARPU) is anticipated to be US$116.20.
This metric provides insights into the amount of revenue generated per user in the Taxi market.
When comparing the global market, China is expected to generate the highest revenue in the Taxi market, reaching US$54bn in 2024.
This highlights the dominance of the Chinese market in terms of revenue generation.
The rise of ride-hailing apps like Uber and Cabify has caused a decline in traditional taxi usage in Argentina.

Definition:

The Taxi market covers exclusively traditional taxi services booked offline, typically via street hailing or phone calls. This market focuses on in-person or telephonic arrangements with licensed taxi operators for door-to-door transportation.

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.

Traditional taxi rides booked offline with taxi companies (via street-hailing or by telephone)

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)

The Taxi market, covering exclusively services booked offline through methods like street hailing or telephone calls, remains an integral part of the broader transportation industry on a global scale. While ride-hailing platforms have revolutionized urban mobility through digital innovation, offline taxi services continue to play a crucial role, even if it is declining in many regions.

The significance of traditional taxis lies in their reliability and familiarity to passengers, especially in regions where technology adoption may lag or where personal interactions with drivers are valued. These services are deeply rooted in local transportation systems and provide accessible, point-to-point mobility solutions.

However, the traditional Taxi market faces its own set of challenges in the era of digital disruption. Competition from ride-hailing platforms has intensified, prompting traditional taxi operators to adapt to evolving consumer expectations. Some have incorporated mobile apps to compete on convenience and have begun implementing digital payment options. However, this Taxi market within the Shared Mobility market focuses exclusively on offline generated business. Online bookings of taxi services are included in the Shared Mobility Ride-hailing market.

Regulatory issues also loom large, as governments strive to maintain a level playing field between traditional taxis and ride-hailing companies. Balancing safety standards, pricing regulations, and licensing requirements remains a complex endeavor, often leading to contentious debates and changes in the regulatory landscape.

The Taxi market continues to serve as a vital component of mobility solutions. While facing competition and regulatory challenges, it remains an essential mode of travel, particularly in regions where it aligns with local preferences and infrastructure. However, it is essential to acknowledge that this offline taxi business is likely to face a further decline in many countries, albeit not disappearing entirely in the near future. To navigate this evolving landscape successfully, taxi operators must recognize the importance of offering their services online. Embracing a hybrid business model that combines offline and online bookings is considered an effective approach to sustaining their relevance in the ever-changing transportation landscape. This strategy allows traditional taxi services to preserve their reliability and personal touch while harnessing the benefits of digital innovation to remain competitive in the market.

Data coverage:

The data encompasses B2C enterprises. Figures are based on bookings and revenues of traditional offline taxi 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.

This report presents a comprehensive analysis and additional information on the Mobility market, in a PDF format.