Quick Commerce - Central Africa

  • Central Africa
  • The revenue in the Quick Commerce market of Central Africa is projected to reach 0.00 in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-0.00) of [revenueYearToday], resulting in a projected market volume of 0.00 by [revenueYearToday].
  • In the Quick Commerce market of Central Africa, the number of users is expected to amount to 0.00 by [revenueYearToday].
  • The user penetration is projected to be 0.00 in 2024 and is expected to hit 0.00 by [revenueYearToday].
  • The average revenue per user (ARPU) is expected to amount to 0.00.
  • In global comparison, the majority of revenue will be generated 0, with a staggering 0 in 2024.
  • Furthermore, 0 also boasts the highest user penetration rate in the Quick Commerce market, projected at 0.
  • Despite challenges in infrastructure and logistics, Central Africa is experiencing a growing demand for quick commerce services due to increasing urbanization and a rising middle class.
 
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Analyst Opinion

The Quick Commerce market in Central Africa is rapidly developing, driven by a growing demand for convenience and speed in the delivery of goods and services.

Customer preferences:
Consumers in Central Africa are increasingly turning to Quick Commerce services to meet their daily needs. With the rise of urbanization and a growing middle class, there is a greater demand for convenience and time-saving solutions. Consumers are looking for fast and reliable delivery of goods, including food, groceries, and household items. Additionally, the COVID-19 pandemic has accelerated the adoption of Quick Commerce services, as consumers seek to limit their exposure to crowded public spaces.

Trends in the market:
The Quick Commerce market in Central Africa is characterized by strong competition among local and international players. While there are a number of established players in the market, there is also a growing number of new entrants, including startups and technology companies. These companies are leveraging technology to provide faster and more efficient delivery services, and are targeting specific niche markets, such as high-end restaurants or health food stores. Another trend in the market is the expansion of Quick Commerce services beyond urban areas, with companies looking to tap into the growing demand for convenience in suburban and rural areas.

Local special circumstances:
The Quick Commerce market in Central Africa faces a number of challenges, including poor infrastructure, limited access to capital, and a fragmented retail sector. In many cases, delivery companies must navigate poorly maintained roads and limited transport options, which can make it difficult to provide timely and reliable services. Additionally, many retailers in the region are small and informal, making it difficult for Quick Commerce companies to establish partnerships and integrate their services into existing supply chains.

Underlying macroeconomic factors:
The Quick Commerce market in Central Africa is being driven by a number of underlying macroeconomic factors, including urbanization, rising disposable incomes, and a growing middle class. As more people move to cities and adopt modern lifestyles, there is a greater demand for convenient and time-saving services. Additionally, the region's young and tech-savvy population is driving the adoption of new technologies, including Quick Commerce services. However, the market is also affected by broader economic and political factors, including inflation, currency fluctuations, and political instability, which can impact consumer spending and business operations.

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

  • Analyst Opinion
  • Methodology
  • Key Market Indicators
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