Meal Delivery - Northern Africa

  • Northern Africa
  • The Meal Delivery market in Northern Africa is projected to reach a revenue of US$601.20m in 2024.
  • It is expected to exhibit a Compound Annual Growth Rate (CAGR) of 8.36% between 2024 and 2029, resulting in a projected market volume of US$898.00m by 2029.
  • Comparatively, the Platform Deliverymarket is estimated to have a market volume of US$415.80m in 2024.
  • China is anticipated to generate the highest revenue among global counterparts, amounting to US$184,500.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market is projected to be US$38.02 in 2024.
  • Furthermore, the number of users in the Meal Delivery market is expected to reach 23.2m users by 2029.
  • The user penetration rate in the Meal Delivery market is projected to be 6.1% in 2024.
  • In Northern Africa, the meal delivery market is experiencing significant growth due to the rising demand for convenient and healthy food options among urban consumers.
 
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Analyst Opinion

Meal delivery services have become increasingly popular in Northern Africa in recent years, with a growing number of consumers opting for the convenience of having food delivered to their doorstep.

Customer preferences:
One of the main reasons for the growth of the meal delivery market in Northern Africa is changing consumer preferences. Busy lifestyles and the desire for convenience have led many consumers to opt for meal delivery services instead of cooking at home or dining out. Additionally, the COVID-19 pandemic has accelerated the adoption of meal delivery services as consumers have been forced to stay at home and avoid crowded restaurants.

Trends in the market:
In Northern Africa, there has been a trend towards healthier meal options, as consumers become more health-conscious and seek out nutritious meals that can be delivered to their homes. Many meal delivery companies are now offering a range of healthy options, including vegetarian and vegan meals, as well as meals that cater to specific dietary requirements such as gluten-free or low-carb diets.

Local special circumstances:
The meal delivery market in Northern Africa is also influenced by local cultural and social factors. For example, in some countries in the region, it is common for families to eat together at home, and meal delivery services that offer family-sized portions are particularly popular. Additionally, in some countries, there are restrictions on the types of food that can be delivered during certain times of the day, such as during Ramadan.

Underlying macroeconomic factors:
The growth of the meal delivery market in Northern Africa is also influenced by underlying macroeconomic factors. For example, the region has a young and growing population, with many young professionals who are time-poor and seeking convenient meal options. Additionally, the region has a high rate of urbanization, with many people living in cities where meal delivery services are more readily available. Finally, the region has a relatively high level of smartphone penetration, which has made it easier for consumers to order meals online and for meal delivery companies to reach a wider audience.

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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