Retail Delivery - Mexico

Mexico

Highlights

The Reail Delivery market in Mexico is projected to reach a revenue of US$5.35bn by 2024.
It is expected to show an annual growth rate (CAGR 2024-2029) of 18.50%, resulting in a projected market volume of US$12.50bn by 2029.
By 2029, the number of users in the Reail Delivery market is expected to amount to 20.7m users.
The user penetration in this market is projected to be 11.7% in 2024 and is expected to reach 15.5% by 2029.
The average revenue per user (ARPU) is expected to be US$354.20.
In global comparison, United States is expected to generate the highest revenue in the Reail Delivery market, with US$195.40bn in 2024.
The United States has the highest projected user penetration rate of 30.4% in the Reail Delivery market.
The rise of e-commerce in Mexico has led to a surge in demand for last-mile delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market in Mexico has been experiencing significant growth in recent years.

Customer preferences: Mexican consumers are increasingly interested in online shopping, which has led to a surge in demand for retail delivery services. This trend has been driven by a number of factors, including the convenience of online shopping, the availability of a wider range of products, and the increased use of mobile devices to make purchases.

Trends in the market: One of the key trends in the Mexican Retail Delivery market is the growing popularity of same-day and next-day delivery services. This trend has been driven by the increasing demand for faster and more convenient delivery options, as well as the rise of e-commerce platforms that offer these services.Another trend in the market is the growing use of technology to improve the efficiency and speed of retail delivery services. This includes the use of drones and other autonomous vehicles to deliver packages, as well as the use of artificial intelligence and machine learning to optimize delivery routes and reduce delivery times.

Local special circumstances: One of the unique challenges facing the Retail Delivery market in Mexico is the country's geography and infrastructure. Mexico is a large country with a diverse range of terrain, which can make it difficult to deliver packages quickly and efficiently. In addition, many parts of the country lack the necessary infrastructure to support modern delivery services, such as reliable roads and transportation networks.

Underlying macroeconomic factors: The growth of the Retail Delivery market in Mexico is also being driven by a number of underlying macroeconomic factors. These include the country's growing middle class, which has more disposable income to spend on online shopping, as well as the increasing availability of high-speed internet and mobile devices.Overall, the Retail Delivery market in Mexico is poised for continued growth in the coming years, driven by the increasing popularity of online shopping and the growing demand for faster and more efficient delivery services. However, the market also faces a number of unique challenges, including the country's geography and infrastructure, which will need to be addressed in order to support the continued growth of the industry.

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.