Platform Delivery - Central Africa

  • Central Africa
  • The Platform Delivery market in Central Africa is projected to reach a revenue of US$45.85m by 2025.
  • This is expected to show an annual growth rate (CAGR 2025-2029) of 13.88%, resulting in a projected market volume of US$77.12m by 2029.
  • Furthermore, it is expected that the number of users in the Platform Delivery market will amount to 4.7m users by 2029.
  • The user penetration is projected to be 2.8% in 2025 and is expected to increase to 4.2% by 2029.
  • The average revenue per user (ARPU) is projected to be US$16.25.
  • In global comparison, it is worth noting that China is expected to generate the highest revenue in the Platform Delivery market, amounting to US$174,600.00m in 2025.
  • Additionally, China is projected to have the highest user penetration rate in the market, with a rate of 55.0%.
  • Central Africa is experiencing a surge in demand for platform delivery services, driven by the increasing adoption of e-commerce in the region.
 
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Analyst Opinion

The Platform Delivery market in Central Africa has been experiencing significant growth in recent years.

Customer preferences:
Customers in Central Africa are increasingly looking for efficient and convenient ways to access goods and services. The growth of e-commerce platforms and the increasing use of mobile devices have made platform delivery services more popular among consumers in the region. Additionally, the COVID-19 pandemic has accelerated the adoption of digital platforms for delivery services as consumers seek to limit their exposure to the virus.

Trends in the market:
The platform delivery market in Central Africa is becoming increasingly competitive as new players enter the market. This has led to a proliferation of delivery options and services, including same-day and on-demand delivery. Additionally, there has been a trend towards the use of local delivery providers, who are often able to offer more affordable and reliable services than larger, global providers.

Local special circumstances:
The infrastructure in Central Africa presents challenges for platform delivery providers. Poor road networks, limited internet connectivity, and a lack of reliable addressing systems can make it difficult for providers to deliver goods and services in a timely and efficient manner. As a result, many providers have had to develop innovative solutions to overcome these challenges, such as using mobile apps to track deliveries and partnering with local businesses to establish pick-up points.

Underlying macroeconomic factors:
The growth of the platform delivery market in Central Africa is being driven by a combination of factors, including increasing internet penetration, rising disposable incomes, and a growing middle class. Additionally, the COVID-19 pandemic has accelerated the shift towards digital platforms for delivery services, as consumers seek to limit their exposure to the virus. However, there are also challenges to the growth of the market, including regulatory barriers and the need for continued investment in infrastructure to support the growth of the digital economy.

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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