Platform Delivery - Africa

  • Africa
  • The Platform Delivery market in Africa is projected to see a significant increase in revenue, reaching US$1.79bn by 2024.
  • This is expected to result in an annual growth rate of 11.39% from 2024 to 2029, reaching a market volume of US$3.07bn by the end of the forecast period.
  • The number of users in this market is also expected to grow, reaching 74.0m users by 2029.
  • In 2024, the user penetration rate is projected to be 3.5%, and it is expected to increase to 5.1% by 2029.
  • The average revenue per user (ARPU) is estimated to be US$39.85.
  • When comparing the Platform Delivery market globally, China is expected to generate the highest revenue, reaching US$165,200.00m in 2024.
  • Additionally, China has the highest projected user penetration rate in the market, with a rate of 52.8%.
  • In Africa, the platform delivery market is experiencing significant growth, with Nigeria leading the way in terms of adoption and innovation.
 
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Analyst Opinion

The demand for Platform Delivery services in Africa has been increasing steadily in recent years.

Customer preferences:
Customers in Africa are increasingly looking for convenience and speed in their delivery services. The rise of e-commerce platforms has made it easier for customers to shop online, and they expect their purchases to be delivered quickly and efficiently. As a result, there is a growing demand for Platform Delivery services that can provide fast and reliable delivery.

Trends in the market:
One of the major trends in the Platform Delivery market in Africa is the rise of local delivery startups. These companies are leveraging technology to provide efficient and affordable delivery services to customers. Many of these startups are focused on last-mile delivery, which is a critical component of the delivery process in Africa where infrastructure is often lacking.Another trend in the market is the increasing use of drones and other unmanned aerial vehicles (UAVs) for delivery. This technology has the potential to revolutionize the delivery industry in Africa, where traditional delivery methods can be slow and unreliable. However, there are still regulatory and logistical challenges that need to be addressed before drones can be used on a large scale.

Local special circumstances:
One of the unique challenges of the Platform Delivery market in Africa is the lack of reliable infrastructure, particularly in rural areas. This can make it difficult for delivery companies to reach customers in these areas, and can also increase the cost of delivery. As a result, many companies are focusing on developing innovative solutions to address these challenges, such as using motorcycles and bicycles for delivery.

Underlying macroeconomic factors:
The growth of the Platform Delivery market in Africa is being driven by a number of macroeconomic factors, including the increasing adoption of e-commerce, rising urbanization, and a growing middle class. As more people move to cities and gain access to the internet, the demand for online shopping and delivery services is expected to continue to grow. Additionally, the rise of local delivery startups is being fueled by a growing entrepreneurial spirit in many African countries.

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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