Quick Commerce - Northern Africa

  • Northern Africa
  • The Quick Commerce market in Northern Africa is expected to achieve remarkable growth in the coming years.
  • By 2024, the projected revenue is estimated to reach US$395.10m.
  • This growth is anticipated to continue with an annual growth rate (CAGR 2024-2029) of 11.95%, resulting in a projected market volume of US$694.70m by 2029.
  • Moreover, the number of users in the Quick Commerce market is expected to rise significantly.
  • By 2029, the user count is projected to reach 15.0m users.
  • This growth in user base is further supported by the expected increase in user penetration, which is forecasted to reach 5.3% by 2029, compared to 3.3% in 2024.
  • The average revenue per user (ARPU) in the Quick Commerce market is estimated to be US$45.48.
  • This metric provides insights into the revenue generated by each user on average.
  • In a global comparison, it is worth noting that China is expected to generate the highest revenue in the Quick Commerce market, reaching a staggering US$80,840.00m in 2024.
  • Furthermore, China also exhibits the highest user penetration rate in this market, projected to reach 21.4%.
  • Overall, the Quick Commerce market in Northern Africa is poised for substantial growth, with promising revenue projections, increasing user base, and an upward trend in user penetration.
  • Northern Africa is experiencing a surge in Quick Commerce, with local startups leveraging technology to deliver goods and services rapidly to consumers.
 
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Analyst Opinion

Quick Commerce, also known as Q-Commerce, is a rapidly growing market in Northern Africa. This market is characterized by the fast delivery of goods, often within just a few hours of ordering.

Customer preferences:
One of the main reasons for the growth of Q-Commerce in Northern Africa is the increasing demand for convenience. Customers are looking for ways to save time and effort, and Q-Commerce provides a solution to this problem. In addition, the rise of e-commerce has made it easier for customers to shop online, and Q-Commerce is a natural extension of this trend.

Trends in the market:
One trend in the Q-Commerce market in Northern Africa is the increasing competition between companies. As more players enter the market, companies are looking for ways to differentiate themselves and offer unique services. For example, some companies are focusing on delivering fresh groceries, while others are specializing in fast food delivery. Another trend is the use of technology to improve delivery times and increase efficiency. Companies are using algorithms to optimize delivery routes and predict demand, which helps them to deliver goods faster and more efficiently. In addition, some companies are experimenting with drone and robot delivery, which could revolutionize the industry in the future.

Local special circumstances:
One of the unique challenges in the Q-Commerce market in Northern Africa is the lack of infrastructure in some areas. Delivery companies may struggle to reach customers in remote or rural areas, which could limit the growth of the market in these regions. In addition, some customers may be hesitant to use Q-Commerce services due to security concerns or a lack of trust in online shopping.

Underlying macroeconomic factors:
The growth of Q-Commerce in Northern Africa is also influenced by macroeconomic factors such as GDP growth and urbanization rates. As the economy grows and more people move to cities, there is a greater demand for convenience and fast delivery. In addition, the rise of the middle class has led to an increase in disposable income, which has fueled the growth of e-commerce and Q-Commerce. Overall, the Q-Commerce market in Northern Africa is expected to continue growing in the coming years. Companies that can differentiate themselves and offer unique services are likely to succeed in this competitive market. However, they will need to navigate the unique challenges of the region, such as a lack of infrastructure and security concerns.

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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