Platform Delivery - Angola

Angola

Highlights

The Platform Delivery market in Angola is anticipated to witness a significant increase in revenue, with a projected amount of US$24.42m in 2024.
This growth is expected to continue, with an estimated annual growth rate (CAGR 2024-2029) of 15.40%.
As a result, the market volume is projected to reach US$49.99m by 2029.
Furthermore, the number of users in the Platform Delivery market is expected to reach 3.6m users by 2029.
The user penetration, which is the percentage of the population using platform delivery services, is predicted to be 4.8% in 2024 and is projected to increase to 8.2% by 2029.
The average revenue per user (ARPU) in the Platform Delivery market is expected to be US$13.59.
This metric represents the average amount of revenue generated per user.
In a global comparison, China is expected to generate the highest revenue in the Platform Delivery market, reaching US$166.80bn in 2024.
Additionally, China is projected to have the highest user penetration rate of 52.8%.
Overall, the Platform Delivery market in Angola presents promising opportunities for revenue growth, user expansion, and market penetration.
In Angola, the platform delivery market is rapidly expanding as more consumers embrace the convenience of online shopping and delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Platform Delivery market in Angola has been steadily growing over the past few years.

Customer preferences: Angolan consumers have shown a growing interest in online shopping and delivery services. This can be attributed to the increasing availability of internet access and smartphones in the country. Customers are looking for convenience and efficiency in their shopping experience, which has led to a rise in demand for platform delivery services.

Trends in the market: One of the major trends in the Platform Delivery market in Angola is the entry of international players. This has led to increased competition and innovation in the market. Local players are also expanding their services to cater to the growing demand. Another trend is the use of technology to improve delivery services. Many companies are investing in logistics and tracking systems to ensure timely and efficient delivery.

Local special circumstances: Angola has a unique geography that presents challenges for delivery services. The country has a large land area with vast distances between cities and towns. This can make delivery times longer and more difficult to manage. Additionally, the country has a lack of infrastructure, such as paved roads, which can further complicate delivery logistics.

Underlying macroeconomic factors: Angola has been experiencing economic growth in recent years, which has led to an increase in consumer spending. The country is also undergoing a digital transformation, with more people gaining access to the internet and mobile devices. These factors have contributed to the growth of the Platform Delivery market in Angola. However, the country still faces challenges such as high unemployment rates and political instability, which could impact the market in the future.

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.