Platform Delivery - Western Africa

  • Western Africa
  • The Platform Delivery market in Western Africa is projected to reach a revenue of US$756.30m in 2024.
  • It is expected to experience an annual growth rate (CAGR 2024-2029) of 11.82%, resulting in a projected market volume of US$1,322.00m by 2029.
  • Moreover, the number of users in this market is estimated to reach 33.5m users by 2029.
  • In terms of user penetration, it is predicted to be 4.7% in 2024 and is expected to increase to 7.2% by 2029.
  • The average revenue per user (ARPU) is projected to be US$38.61.
  • Comparing globally, the highest revenue in the Platform Delivery market is anticipated to be generated China, with an estimated revenue of US$166,800.00m in 2024.
  • Additionally, China is expected to have the highest user penetration rate in this market, with a projected rate of 52.8%.
  • In Western Africa, the platform delivery market is experiencing a surge in demand as more consumers opt for online shopping and food delivery services.
 
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Analyst Opinion

The popularity of online shopping and the convenience of home delivery have led to the growth of the Platform Delivery market in Western Africa.

Customer preferences:
Customers in Western Africa are increasingly turning to online shopping due to the convenience of having products delivered directly to their doorstep. The COVID-19 pandemic has also accelerated this trend as people are avoiding crowded places and opting for contactless delivery options. Customers are looking for reliable and efficient delivery services that can deliver their orders quickly and securely.

Trends in the market:
The Platform Delivery market in Western Africa is witnessing a surge in demand as more businesses are adopting online platforms to reach customers. The market is becoming increasingly competitive with the entry of new players offering innovative solutions such as real-time tracking and delivery notifications. The rise of e-commerce platforms and the growth of the gig economy are also contributing to the expansion of the Platform Delivery market.

Local special circumstances:
The unique challenges of operating in Western Africa such as poor road infrastructure, high crime rates, and limited access to technology are affecting the growth of the Platform Delivery market. Delivery companies are investing in technology and logistics infrastructure to overcome these challenges and provide reliable delivery services to customers. The use of motorbikes for delivery in urban areas has also become popular due to their ability to navigate through traffic and reach customers quickly.

Underlying macroeconomic factors:
The growth of the Platform Delivery market in Western Africa is being driven by the region's expanding middle class, rising disposable incomes, and increasing internet penetration. The region's young population is also a key factor as they are more likely to adopt new technologies and embrace online shopping. Government policies aimed at promoting e-commerce and improving logistics infrastructure are also contributing to the growth of the Platform Delivery market in Western 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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