Quick Commerce - Americas

Americas

Highlights

The Quick Commerce market in the Americas is set to achieve a projected revenue of US$60.91bn in 2024.
This market is expected to display a Compound Annual Growth Rate (CAGR) of 7.96%, leading to a projected market volume of US$89.31bn by 2029.
Consequently, the number of users in the Quick Commerce market is anticipated to reach 124.2m users by 2029.
The user penetration rate, which stands at 8.9% in 2024, is predicted to rise to 11.8% by 2029.
Additionally, the Average Revenue Per User (ARPU) is projected to amount to US$671.80.
When comparing the Quick Commerce market globally, it is worth noting that China will generate the highest revenue, with an estimated US$80.84bn in 2024.
Moreover, China will also have the highest user penetration rate in the Quick Commerce market, projected to reach 21.4%.
In the Americas, quick commerce is rapidly growing in Brazil, with the rise of delivery apps and the convenience of on-demand services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Quick Commerce market in Americas is a rapidly growing industry that is changing the way consumers shop for goods. With the rise of technology and the increasing demand for convenience, Quick Commerce has become a popular option for consumers who want their purchases delivered quickly and efficiently.

Customer preferences: Consumers in the Americas are increasingly turning to Quick Commerce for their shopping needs due to its convenience and speed. With busy lifestyles and the desire for instant gratification, Quick Commerce provides a solution that traditional brick-and-mortar stores cannot match. Additionally, the COVID-19 pandemic has accelerated the adoption of Quick Commerce as consumers seek contactless delivery options.

Trends in the market: In the United States, the Quick Commerce market is dominated by large players such as Amazon and Walmart, who have the resources to invest in infrastructure and technology to provide fast and reliable delivery. However, smaller players are emerging, offering niche products and services to cater to specific customer needs. In Canada, the Quick Commerce market is still in its early stages, but is expected to grow rapidly in the coming years as more retailers enter the market.

Local special circumstances: In Latin America, the Quick Commerce market is growing rapidly due to the high adoption of mobile technology and the increasing demand for convenience. However, logistical challenges such as poor infrastructure and traffic congestion can pose a challenge for Quick Commerce providers. In Brazil, the Quick Commerce market is particularly competitive, with both domestic and international players vying for market share.

Underlying macroeconomic factors: The Quick Commerce market in the Americas is driven by a number of macroeconomic factors, including rising disposable incomes, urbanization, and the increasing use of mobile technology. Additionally, the COVID-19 pandemic has accelerated the adoption of Quick Commerce as consumers seek contactless delivery options. However, regulatory challenges such as data privacy and labor laws can pose a challenge for Quick Commerce providers, particularly in countries with strict regulations.

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.