Quick Commerce - Western Africa

  • Western Africa
  • In 2024, the Quick Commerce market in Western Africa is projected to reach a revenue of US$439.60m.
  • Looking ahead, the market is expected to grow at an annual rate of 17.08% (CAGR 2024-2029), resulting in a projected market volume of US$967.20m by 2029.
  • By 2029, the number of users in the Quick Commerce market is expected to reach 21.7m users.
  • The user penetration rate is projected to increase from 3.1% in 2024 to 4.7% by 2029.
  • The average revenue per user (ARPU) in the Quick Commerce market is expected to amount to US$33.76.
  • In global comparison, China is expected to generate the highest revenue in the Quick Commerce market, reaching US$80,840.00m in 2024.
  • Additionally, China also has the highest projected user penetration rate of 21.4%.
  • In Western Africa, the quick commerce market is experiencing rapid growth due to the increasing adoption of mobile technology and the rising demand for convenience in busy urban areas.
 
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Analyst Opinion

The Quick Commerce market in Western Africa is experiencing a surge in demand due to changing consumer preferences and the increasing adoption of technology.

Customer preferences:
Consumers in Western Africa are increasingly seeking convenience and speed in their shopping experience. Quick Commerce, which offers fast and efficient delivery of goods, is gaining popularity in the region. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping, further boosting the demand for Quick Commerce services.

Trends in the market:
The Quick Commerce market in Western Africa is witnessing the entry of new players, both local and international, who are investing heavily in technology and logistics to improve their delivery times and customer experience. These players are leveraging partnerships with local retailers and logistics companies to expand their reach and offer a wider range of products.

Local special circumstances:
The Quick Commerce market in Western Africa is unique due to the challenges posed by the region's infrastructure and logistics. Poor road networks and limited transportation options make it difficult to deliver goods in a timely and cost-effective manner. As a result, Quick Commerce companies are investing in innovative solutions such as drone deliveries and partnerships with local motorcycle taxis to overcome these challenges.

Underlying macroeconomic factors:
The Quick Commerce market in Western Africa is being driven by a combination of factors, including the increasing adoption of technology, the growth of the middle class, and the rise of urbanization. These factors are creating a conducive environment for the development of Quick Commerce services, which cater to the needs of busy urban consumers who are looking for fast and convenient shopping experiences.In conclusion, the Quick Commerce market in Western Africa is poised for significant growth in the coming years, driven by changing consumer preferences, increasing investment in technology and logistics, and favorable macroeconomic factors. Quick Commerce companies that can effectively navigate the unique challenges of the region's infrastructure and logistics are well-positioned to capitalize on this growth and establish themselves as leaders in the market.

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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