Retail Delivery - Northern Africa

  • Northern Africa
  • The Reail Delivery market in Northern Africa is projected to reach a revenue of US$3.23bn in 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2029) of 9.82%, resulting in a projected market volume of US$5.16bn by 2029.
  • In Northern Africa's Reail Delivery market, the number of users is expected to amount to 52.1m users by 2029.
  • The user penetration is projected to be 13.3% in 2024 and is expected to reach 18.5% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$92.84.
  • In global comparison, United States is anticipated to generate the highest revenue in the Reail Delivery market, with US$195,400.00m in 2024.
  • The United States, on the other hand, is expected to have the highest user penetration rate in the Reail Delivery market, with a projected rate of 30.4%.
  • In Northern Africa, the retail delivery market is experiencing a surge in demand for online grocery shopping due to changing consumer preferences.
 
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Analyst Opinion

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

Customer preferences:
Customers in Northern Africa are increasingly turning to online shopping due to the convenience and competitive pricing offered by e-commerce platforms. This shift in consumer behavior has led to a surge in demand for retail delivery services, as customers expect fast and reliable delivery of their purchases.

Trends in the market:
One of the key trends in the Retail Delivery market in Northern Africa is the emergence of local players who are leveraging their knowledge of the local market to provide tailored solutions to customers. These companies are investing in technology and logistics infrastructure to improve the speed and efficiency of their delivery services.Another trend is the growing popularity of same-day and next-day delivery options, which are becoming increasingly common in the region. This is being driven by the increasing demand for fast and convenient delivery, particularly among urban consumers.

Local special circumstances:
One of the unique challenges facing the Retail Delivery market in Northern Africa is the region's geography. The vast deserts and rugged terrain of the Sahara make it difficult and expensive to transport goods across the region. This has led to the development of specialized logistics solutions, such as camel caravans and truck convoys, which are used to transport goods across the desert.Another challenge is the high levels of bureaucracy and corruption in some countries in the region, which can make it difficult for companies to operate and can lead to delays and additional costs.

Underlying macroeconomic factors:
The growth of the Retail Delivery market in Northern Africa is being driven by a number of underlying macroeconomic factors. These include the region's young and growing population, which is increasingly urbanized and digitally connected. Rising levels of disposable income are also contributing to the growth of e-commerce and retail delivery services.In addition, the region's governments are investing in infrastructure and technology to support the growth of the digital economy, which is expected to further drive the growth of the Retail Delivery market in Northern Africa.

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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