Online Food Delivery - Northern Africa

  • Northern Africa
  • In 2024, the projected revenue in the Online Food Delivery market in Northern Africa is expected to reach US$4.86bn.
  • The market is anticipated to show an annual growth rate (CAGR 2024-2029) of 10.26%, resulting in a projected market volume of US$7.92bn by 2029.
  • Furthermore, the Meal Delivery market is expected to experience a revenue growth of 15.4% in 2025.
  • In 2024, the projected market volume for the Meal Delivery market in Northern Africa is estimated to be US$3.62bn.
  • When comparing globally, China is anticipated to generate the highest revenue with US$448.90bn in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market in Northern Africa is projected to amount to US$85.88 in 2024.
  • In the Grocery Delivery market, the number of users is expected to reach 66.5m users by 2029.
  • Additionally, user penetration in the Grocery Delivery market is forecasted to be at 16.2% in 2024.
  • The online food delivery market in Northern Africa is experiencing rapid growth due to increasing urbanization and the convenience it offers to busy city dwellers.
 
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Analyst Opinion

Northern Africa is witnessing a steady growth in the Online Food Delivery market, driven by a combination of factors including customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences:
With the increasing penetration of smartphones and internet connectivity, customers in Northern Africa are increasingly looking for convenience and speed when it comes to food delivery. Online food delivery platforms offer a wide range of options to customers, allowing them to order food from their favorite restaurants without having to leave their homes or offices. Moreover, online food delivery platforms offer customers the ability to track their orders in real-time, ensuring that they are aware of the status of their orders at all times.

Trends in the market:
The online food delivery market in Northern Africa is witnessing a number of trends that are shaping its growth. One of the key trends is the increasing adoption of mobile apps for food delivery. With the majority of customers in Northern Africa using smartphones, mobile apps have become the preferred mode of ordering food online. Another trend is the increasing popularity of fast food and quick service restaurants (QSRs) in the region. These restaurants offer a wide range of options at affordable prices, making them popular with customers who are looking for a quick and affordable meal.

Local special circumstances:
The online food delivery market in Northern Africa is also shaped by local special circumstances. For example, in countries like Egypt, where traffic congestion is a major issue, online food delivery platforms are increasingly popular as they offer customers a way to avoid the hassle of traffic and parking. Moreover, in countries like Morocco, where there is a strong culture of hospitality, online food delivery platforms are popular as they allow customers to order food from their favorite restaurants without having to leave their homes.

Underlying macroeconomic factors:
The growth of the online food delivery market in Northern Africa is also driven by underlying macroeconomic factors. For example, the region has a large and growing young population, which is increasingly tech-savvy and comfortable with online transactions. Moreover, the region has a growing middle class, which is willing to spend more on convenience and quality. Finally, the region is witnessing a rapid urbanization trend, with more and more people moving to cities. This trend is driving demand for food delivery services, as people in cities are often too busy to cook and prefer to order food online.

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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