Quick Commerce - Argentina

Argentina

Highlights

The Quick Commerce market in Argentina is projected to reach a revenue of US$359.60m by 2024.
This is expected to show an annual growth rate of 10.71% (CAGR 2024-2029), resulting in a projected market volume of US$597.90m by 2029.
By 2029, the number of users in the Quick Commerce market is expected to amount to 8.1m users.
The user penetration in Argentina is projected to be 10.7% in 2024 and is expected to increase to 17.0% by 2029.
The average revenue per user (ARPU) is expected to be US$73.09.
In global comparison, China is expected to generate the most revenue in the Quick Commerce market with US$80.84bn in 2024.
China also has the highest user penetration rate in the Quick Commerce market, projected to be 21.4%.
In Argentina, the Quick Commerce market is experiencing a surge in demand due to the convenience and efficiency it offers in a country with a fast-paced lifestyle.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Quick Commerce, also known as Q-Commerce, is a rapidly growing market in Argentina. The convenience of having products delivered to your doorstep within a few hours has made Q-Commerce popular among consumers in the country.

Customer preferences: Argentinian consumers have shown a preference for online shopping due to the convenience it offers. The COVID-19 pandemic has further accelerated this trend as more people have been forced to stay at home. Consumers are looking for faster delivery times and Q-Commerce has emerged as a solution to this need. The ability to have products delivered within a few hours has made Q-Commerce a popular choice among consumers.

Trends in the market: The Q-Commerce market in Argentina has been growing rapidly in recent years. The market is highly competitive with a large number of players offering similar services. Companies are differentiating themselves by offering unique features such as a wider range of products, faster delivery times, and lower prices. The market is expected to continue growing as more consumers become aware of the convenience of Q-Commerce.

Local special circumstances: Argentina has a large population of tech-savvy consumers who are comfortable using smartphones and other digital devices. This has made it easier for Q-Commerce companies to reach consumers through online platforms. However, the country also faces challenges such as a lack of infrastructure and a complex regulatory environment. These factors can make it difficult for companies to operate in the market.

Underlying macroeconomic factors: Argentina has been facing economic challenges in recent years, including high inflation and currency devaluation. This has led to a decline in consumer purchasing power and a preference for lower-priced products. Q-Commerce companies have responded to this trend by offering competitive prices and discounts to attract consumers. The government has also taken steps to support the growth of the e-commerce sector, which has benefited Q-Commerce companies. Despite these challenges, the Q-Commerce market in Argentina is expected to continue growing as more consumers shift towards online shopping.

Data coverage:

The data encompasses B2C enterprises. Figures are based on Gross Merchandise Value (GMV) and represent what consumers pay for these products and services. The user metrics show the number of customers who have made at least one online purchase within the past 12 months.

Modeling approach / Market size:

Market sizes are determined through a bottom-up approach, building on predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies, third-party studies and reports, as well as survey results from our primary research (e.g., the Statista Global Consumer Survey). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, GDP per capita, and internet connection speed. 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, the S-curve function and exponential trend smoothing. The main drivers are internet users, urban population, usage of key players, and attitudes toward online services.

Additional notes:

The market is updated twice a year in case market dynamics change. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. GCS data is reweighted for representativeness.