Retail Delivery - Angola

Angola

Highlights

The Reail Delivery market in Angola is set to achieve a revenue of US$60.22m in 2024.
This indicates an anticipated annual growth rate (CAGR 2024-2029) of 10.91%, resulting in a projected market volume of US$101.10m by 2029.
Furthermore, it is expected that the number of users in the Reail Delivery market will reach 5.8m users by 2029.
The user penetration rate is projected to be 9.6% in 2024 and is expected to rise to 13.4% by 2029.
The average revenue per user (ARPU) is estimated to be US$16.57.
In a global context, United States is anticipated to generate the highest revenue in the Reail Delivery market, amounting to US$195.40bn in 2024.
On the other hand, United States is expected to have the highest user penetration rate in the Reail Delivery market, with a projected rate of 30.4%.
Angola's retail delivery market is witnessing a surge in demand for e-commerce services, driven by increasing internet penetration and the convenience of online shopping.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Retail Delivery market in Angola has been experiencing significant growth in recent years, driven by a number of factors.

Customer preferences: Angolan consumers are increasingly turning to online shopping for convenience and a wider range of products. This trend is particularly evident among younger consumers who are more tech-savvy and comfortable with online transactions. Additionally, the COVID-19 pandemic has accelerated the shift towards e-commerce as consumers look for safer ways to shop.

Trends in the market: One of the key trends in the Retail Delivery market in Angola is the growth of last-mile delivery services. With the rise of e-commerce, there has been a corresponding increase in demand for efficient and reliable delivery services. Companies are investing in technology and logistics infrastructure to improve delivery times and increase customer satisfaction. Another trend is the expansion of delivery options beyond traditional courier services, such as the use of drones and other innovative delivery methods.

Local special circumstances: The Retail Delivery market in Angola faces a number of unique challenges, including poor infrastructure and a lack of formal addresses. This makes it difficult for delivery companies to navigate the country and deliver packages to the correct location. Additionally, there is a high level of informality in the economy, which can make it difficult for companies to establish a formal presence and build trust with customers.

Underlying macroeconomic factors: The growth of the Retail Delivery market in Angola is underpinned by a number of macroeconomic factors, including the country's rapidly expanding middle class and increasing internet penetration. Angola has one of the fastest-growing economies in Africa, which is driving consumer spending and creating new opportunities for businesses. Additionally, the government has been investing in infrastructure and technology to support the growth of the digital economy, which is expected to further boost the Retail Delivery market in Angola.

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.