Quick Commerce - South America

  • South America
  • The Quick Commerce market in South America is projected to reach a revenue of US$2.00bn in 2024.
  • This market is expected to show an annual growth rate (CAGR 2024-2029) of 9.92%, resulting in a projected market volume of US$3.21bn by 2029.
  • By 2029, the number of users in the Quick Commerce market is expected to amount to 32.7m users.
  • Furthermore, the user penetration is projected to be 5.2% in 2024 and is expected to increase to 7.7% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$93.15.
  • In comparison to other countries, China is expected to generate the highest revenue in the Quick Commerce market, with US$80,840.00m in 2024.
  • Additionally, China is projected to have the highest user penetration rate of 21.4% in the Quick Commerce market.
  • In South America, Quick Commerce is experiencing a surge in popularity, with Brazil leading the way in terms of market growth and consumer adoption.
 
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Analyst Opinion

The Quick Commerce market in South America has been rapidly developing in recent years, driven by a growing demand for fast and convenient delivery services.

Customer preferences:
South American consumers are increasingly seeking out fast and efficient delivery options, particularly in urban areas where traffic congestion can make traditional delivery methods slow and unreliable. Quick Commerce platforms have been able to capitalize on this trend by offering delivery times of just a few hours or even minutes, providing customers with the convenience they crave.

Trends in the market:
One notable trend in the Quick Commerce market in South America is the rise of local players. While international companies have attempted to enter the market, they have faced challenges such as navigating complex local regulations and competing with established local players. As a result, many of the most successful Quick Commerce platforms in the region are homegrown companies that have a deep understanding of the local market and consumer preferences.Another trend in the market is the increasing use of technology to streamline delivery operations. Quick Commerce platforms are investing in sophisticated logistics systems that use data analytics and machine learning to optimize delivery routes and reduce delivery times. Additionally, many platforms are experimenting with new delivery methods such as drones and autonomous vehicles, which could further improve delivery times and reduce costs.

Local special circumstances:
One unique aspect of the Quick Commerce market in South America is the prevalence of informal economies. In many countries in the region, informal workers make up a significant portion of the workforce, and many of these workers are involved in the delivery sector. Quick Commerce platforms have been able to tap into this informal network by partnering with local couriers and delivery workers, creating a mutually beneficial relationship that helps to improve delivery times and reduce costs.

Underlying macroeconomic factors:
The Quick Commerce market in South America is being driven by a combination of economic and demographic factors. Rising urbanization rates in the region have led to increased demand for fast and convenient delivery services, while a growing middle class has more disposable income to spend on these services. Additionally, the COVID-19 pandemic has accelerated the shift towards e-commerce and home delivery, further boosting demand for Quick Commerce platforms.

Methodology

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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