Retail Delivery - Central Africa

  • Central Africa
  • The Reail Delivery market in Central Africa is projected to reach a revenue of US$360.00m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 4.35%, resulting in a projected market volume of US$445.50m by 2029.
  • By 2029, the number of users in the Reail Delivery market is expected to amount to 13.2m users.
  • The user penetration, which is the percentage of the population using Reail Delivery market services, will be 8.6% in 2024 and is expected to hit 12.0% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$43.63.
  • In global comparison, United States is projected to generate the highest revenue in the Reail Delivery market, reaching US$195,400.00m in 2024.
  • On the other hand, United States is expected to have the highest user penetration rate of 30.4%.
  • Central Africa's retail delivery market is experiencing a surge in demand for online shopping and home delivery services.
 
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Analyst Opinion

The Retail Delivery market in Central Africa is experiencing significant growth in recent years, driven by a combination of factors such as increasing urbanization, rising disposable income, and the growth of e-commerce.

Customer preferences:
Customers in Central Africa are increasingly looking for convenience and speed when it comes to shopping. With the rise of e-commerce, consumers expect faster and more efficient delivery options. Additionally, due to the region's poor infrastructure and transportation network, customers prefer to have their products delivered to their doorstep.

Trends in the market:
One of the major trends in the Retail Delivery market in Central Africa is the growth of e-commerce. Many local and international retailers are expanding their online presence to tap into the region's growing middle class. As a result, there is an increasing demand for last-mile delivery services. Furthermore, there is a growing trend towards same-day delivery services in major cities, as customers seek faster and more convenient options.

Local special circumstances:
The Retail Delivery market in Central Africa faces unique challenges such as poor infrastructure and transportation networks, which make it difficult to deliver products to remote areas. Additionally, the region's political instability and security concerns can disrupt supply chains, leading to delays in delivery times. These challenges have led to the emergence of local delivery companies that are better equipped to navigate these issues.

Underlying macroeconomic factors:
The growth of the Retail Delivery market in Central Africa is driven by several macroeconomic factors such as increasing urbanization, rising disposable income, and a growing middle class. As more people move to urban areas, the demand for delivery services increases. Additionally, rising disposable income and a growing middle class have led to increased spending on consumer goods, which in turn fuels demand for delivery services. Furthermore, the growth of e-commerce has created new opportunities for retailers and delivery companies in the region.

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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