Retail Delivery - Southern Africa

  • Southern Africa
  • In Southern Africa, the revenue in the Reail Delivery market is forecasted to reach US$1.05bn by 2024.
  • It is expected to demonstrate an annual growth rate (CAGR 2024-2029) of 13.18%, resulting in a projected market volume of US$1.95bn by 2029.
  • Moreover, the number of users in the Reail Delivery market is anticipated to reach 7.7m users by 2029.
  • The user penetration is projected to be 8.1% in 2024 and is expected to rise to 10.4% by 2029.
  • Additionally, the average revenue per user (ARPU) is estimated to be US$185.00.
  • When compared globally, the majority of revenue in the Reail Delivery market will be generated United States, amounting to US$195,400.00m in 2024.
  • On the other hand, the highest user penetration rate in the Reail Delivery market is projected to be United States, with a rate of 30.4%.
  • In Southern Africa, the retail delivery market is experiencing a surge in demand for online grocery shopping.
 
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Analyst Opinion

The retail delivery market in Southern Africa has been experiencing significant growth in recent years, driven by a number of factors.

Customer preferences:
Customers in Southern Africa are increasingly interested in the convenience of online shopping and home delivery. This trend is particularly pronounced in urban areas, where consumers have busy schedules and limited time for shopping. As a result, retailers have been investing in delivery infrastructure and logistics to meet this demand.

Trends in the market:
One key trend in the Southern African retail delivery market is the growth of e-commerce platforms. These platforms offer a range of products and services, from groceries to electronics, and provide customers with a convenient way to shop online. In addition, retailers are increasingly using technology to improve their delivery services, with features such as real-time tracking and delivery notifications becoming more common.

Local special circumstances:
The retail delivery market in Southern Africa is also shaped by local circumstances. For example, in South Africa, the market is highly competitive, with a number of major retailers vying for market share. This has led to innovations such as same-day delivery and click-and-collect services, as retailers seek to differentiate themselves from their competitors.

Underlying macroeconomic factors:
Finally, the growth of the retail delivery market in Southern Africa is also influenced by macroeconomic factors such as population growth and urbanization. As more people move to cities, the demand for home delivery services is likely to continue to grow. In addition, rising incomes and improving infrastructure are making it easier for retailers to reach customers in remote areas, further driving growth in the market.In conclusion, the retail delivery market in Southern Africa is experiencing significant growth, driven by customer preferences for convenience and the rise of e-commerce platforms. Local circumstances such as competition and macroeconomic factors such as urbanization are also playing a role in shaping the market. As the market continues to evolve, retailers will need to stay abreast of these trends in order to remain competitive and meet the changing needs of their customers.

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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