Retail Delivery - Zimbabwe

Zimbabwe

Highlights

The Reail Delivery market in Zimbabwe is expected to witness significant growth in the coming years.
According to projections, the market's revenue is estimated to reach ZWL US$189.90m by 2024.
This growth is expected to continue at an annual growth rate of 6.58% (CAGR 2024-2029), resulting in a projected market volume of ZWL US$261.20m by 2029.
In terms of user base, the number of users in the Reail Delivery market is forecasted to reach 2.1m users by 2029.
This indicates a steady increase in user penetration, which is projected to rise from 8.0% in 2024 to 10.9% by 2029.
The average revenue per user (ARPU) in the Zimbabwean Reail Delivery market is expected to be ZWL US$139.60.
This metric serves as an indicator of the revenue generated by each user in the market.
When compared globally, it is worth noting that United States is expected to generate the highest revenue in the Reail Delivery market, reaching a staggering amount of CNY US$195.40bn in 2024.
This highlights the significant market potential United States.
Interestingly, United States is projected to have the highest user penetration rate in the Reail Delivery market, with a rate of 30.4%.
This signifies a substantial portion of the population actively engaging in retail delivery services.
Overall, the Reail Delivery market in Zimbabwe shows promising growth potential, with increasing revenue, user base, and user penetration.
These figures indicate a positive outlook for the industry in the country.
The retail delivery market in Zimbabwe has seen a surge in demand for online shopping and home delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Zimbabwe is a country in Southern Africa that has been experiencing a steady growth in its retail delivery market.

Customer preferences: The Zimbabwean market has shown a preference for online shopping due to the convenience it offers. Customers are able to shop for goods from the comfort of their homes and have them delivered to their doorstep. This has led to an increase in demand for delivery services.

Trends in the market: The retail delivery market in Zimbabwe has seen an increase in the number of players in the market. This is due to the growth in demand for delivery services. Companies are also expanding their services to include same-day and next-day delivery options. There has also been an increase in the use of mobile apps for shopping and delivery services.

Local special circumstances: Zimbabwe has a relatively low internet penetration rate compared to other countries in the region. This has led to a slow adoption of online shopping. However, the market has been growing steadily as more people gain access to the internet. There is also a preference for cash transactions in Zimbabwe, which has led to the development of cash on delivery options for online shopping.

Underlying macroeconomic factors: Zimbabwe has been facing economic challenges, including inflation and currency instability. This has led to a rise in the cost of goods and services, making online shopping a more attractive option for consumers. The government has also introduced measures to promote e-commerce, including the reduction of taxes on imported ICT equipment. These measures have created an enabling environment for 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.