Retail Delivery - Mozambique

Mozambique

Highlights

The Reail Delivery market in Mozambique is anticipated to witness substantial growth in the coming years.
According to projections, the revenue in this market is expected to reach US$56.59m by 2024.
Furthermore, it is estimated that the market will experience an annual growth rate of 10.25% from 2024 to 2029, resulting in a projected market volume of US$92.20m by 2029.
In terms of user base, the number of users in the Reail Delivery market is projected to reach 3.3m users by 2029.
The user penetration rate, which is the percentage of the total population using Reail Delivery market services, is expected to increase from 5.5% in 2024 to 8.3% by 2029.
The average revenue per user (ARPU) in this market is forecasted to be US$29.66.
When comparing the global market, it is worth noting that United States is expected to generate the highest revenue, reaching US$195.40bn in 2024.
On the other hand, United States is projected to have the highest user penetration rate of 30.4% in the Reail Delivery market.
In Mozambique, the retail delivery market is experiencing a significant shift towards online platforms due to increased internet penetration and changing consumer preferences.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Mozambique, located in Southeast Africa, has been experiencing a steady growth in its retail delivery market.

Customer preferences: Mozambican consumers have shown a growing preference for online shopping, which has led to an increase in demand for retail delivery services. The convenience of shopping from the comfort of their homes, coupled with the availability of a wide range of products online, has made online shopping a popular choice among consumers.

Trends in the market: The retail delivery market in Mozambique has seen significant growth in recent years, with a number of local and international players entering the market. This has led to increased competition, which has resulted in improved delivery times and more competitive pricing. Additionally, the COVID-19 pandemic has accelerated the growth of the retail delivery market, as consumers have been forced to shop online due to restrictions on physical shopping.

Local special circumstances: Mozambique's infrastructure has posed a challenge to the growth of the retail delivery market. Poor road networks and limited access to electricity in some areas have made it difficult for delivery companies to reach certain parts of the country. However, this challenge has also presented an opportunity for delivery companies to innovate and find creative solutions to reach customers in these areas.

Underlying macroeconomic factors: Mozambique's economy has been growing steadily in recent years, with a focus on developing the country's infrastructure and expanding its trade and investment opportunities. This has led to increased consumer spending and a growing middle class, which has contributed to the growth of the retail delivery market. Additionally, the government has implemented policies to promote the growth of e-commerce and online businesses, which has further supported the growth of the retail delivery market.

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.