Quick Commerce - Mexico

  • Mexico
  • The Quick Commerce market in Mexico is set to experience a significant revenue growth in the coming years.
  • It is projected to reach a staggering €1.27bn by 2025.
  • This growth is expected to continue with an annual growth rate of 12.74% (CAGR 2025-2028), resulting in a projected market volume of €1.82bn by 2028.
  • In terms of user base, the Quick Commerce market in Mexico is also expected to witness substantial growth.
  • The number of users is projected to reach 9.4m users by 2028.
  • User penetration, which measures the percentage of the population using Quick Commerce market services, is predicted to increase from 5.4% in 2025 to 6.8% by 2028.
  • The average revenue per user (ARPU) in Mexico's Quick Commerce market is estimated to be €173.60.
  • This metric indicates the average amount of revenue generated by each user.
  • It is worth noting that in a global comparison, in China is expected to generate the highest revenue in the Quick Commerce market, reaching a staggering €84,450.00m in 2025.
  • Additionally, in China boasts the highest user penetration rate, projected to be 23.4%.
  • These projections highlight the immense potential and growth opportunities in the Quick Commerce market in Mexico.
  • With increasing revenue, user base, and user penetration, the Quick Commerce market industry is poised for significant expansion and development in the country.
  • The quick commerce market in Mexico is booming, with a surge in demand for on-demand delivery services.
Mercado
Región
Comparación de regiones
Moneda

Revenue

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Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2024

Fuente: Statista Market Insights

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Notes: Data was converted from local currencies using average exchange rates of the respective year.

Most recent update: Mar 2024

Fuente: Statista Market Insights

Digital

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This report presents a comprehensive analysis and additional information on the Quick Commerce market, in a PDF format.
Grocery Delivery: market data & analysis - Background Grocery Delivery: market data & analysis - Cover

Market Shares

in percent

2022
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Most recent update: Mar 2024

Fuente: Statista Market Insights

Analyst Opinion

As consumer trends turn towards ultra-convenience and consumer demands grow, Quick Commerce grocery start-up’s growth exploded. At the end of 2021, Getir, Flink, and Gorillas dominated the European markets, having a total of more than 350 locations. But as demand slows down, we see these player scale back operations. With this, we are also seeing more acquisitions between Meal Delivery players and instant grocery players such as Delivery Hero’s purchase of a majority stake in Glovo.

China leads the quick commerce market of Online Grocery Delivery owing its growth to the rapid increase of internet users, established players, and a mature digital market. Players like MissFresh, and Meituan dominate the market.

Users

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Most recent update: Mar 2024

Fuente: Statista Market Insights

Global Comparison

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Most recent update: Mar 2024

Fuente: Statista Market Insights

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.

Key Market Indicators

The following Key Market Indicators give an overview of the social and economic outlook of the selected region and provide additional insights into relevant market-specific developments. These indicators, together with data from statistical offices, trade associations and companies serve as the foundation for the Statista market models.

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