Meal Delivery - Mexico

  • Mexico
  • In 2024, the Meal Delivery market in Mexico is projected to reach a revenue of US$2.73bn.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 5.98%, resulting in a projected market volume of US$3.65bn by 2029.
  • The Platform Deliverymarket in Mexico is projected to have a market volume of US$1.62bn in 2024.
  • In global comparison, China is expected to generate the most revenue in the Meal Delivery market, with US$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Mexico is projected to amount to US$85.73 in 2024.
  • By 2029, the number of users in the Meal Delivery market in Mexico is expected to reach 41.6m users.
  • The user penetration in the Meal Delivery market in Mexico will be at 24.6% in 2024.
  • The meal delivery market in Mexico is experiencing a surge in demand due to the convenience and affordability it offers to busy urban dwellers.
 
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Analyst Opinion

The popularity of meal delivery services has been on the rise in Mexico, with more and more consumers opting for the convenience of having their meals delivered to their doorstep.

Customer preferences:
Mexican consumers have shown a growing interest in meal delivery services due to the convenience they offer. Busy work schedules and the desire for healthy, home-cooked meals without the hassle of cooking have been the driving factors behind the growth of this industry. Consumers are also attracted to the variety of options available, with many meal delivery services offering a range of cuisines to choose from.

Trends in the market:
One of the main trends in the Mexican meal delivery market is the increasing number of companies offering plant-based meal options. The rise of veganism and vegetarianism has led to a demand for meat-free meal options, and many meal delivery services have responded by offering a range of plant-based meals. Another trend is the use of technology to make the ordering process more seamless and efficient. Many meal delivery services have developed mobile apps that allow customers to easily place orders and track their deliveries in real-time.

Local special circumstances:
The Mexican meal delivery market is unique in that it is heavily influenced by the country's rich culinary culture. Mexican cuisine is known for its bold flavors and use of fresh ingredients, and many meal delivery services have incorporated these elements into their menus. Additionally, the country's large population and urbanization have made meal delivery services a popular option for those living in busy cities.

Underlying macroeconomic factors:
The growth of the meal delivery market in Mexico can be attributed to several macroeconomic factors. The country's growing middle class has more disposable income to spend on convenience services like meal delivery. Additionally, the rise of e-commerce and mobile technology has made it easier for meal delivery services to reach a wider audience. Finally, the COVID-19 pandemic has accelerated the growth of the meal delivery market as more consumers opt for contactless delivery options.

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
  • Demographics
  • Global Comparison
  • Methodology
  • Users
  • Key Market Indicators
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