Grocery Delivery - Zimbabwe

  • Zimbabwe
  • The Grocery Delivery market in Zimbabwe is projected to reach a revenue of US$189.90m in 2024.
  • It is expected to show an annual growth rate (CAGR 2024-2029) of 6.58%, resulting in a projected market volume of US$261.20m by 2029.
  • In Zimbabwe, the Retail Delivery market has a projected market volume of US$189.90m in 2024.
  • In global comparison, China is expected to generate the highest revenue in the Grocery Delivery market with US$266.00bn in 2024.
  • The average revenue per user (ARPU) in the Grocery Delivery market in Zimbabwe is projected to amount to US$139.60 in 2024.
  • By 2029, the number of users in the Grocery Delivery market in Zimbabwe is expected to reach 2.1m users.
  • The user penetration in the Grocery Delivery market in Zimbabwe will be at 8.0% in 2024.
  • Despite the challenges faced by Zimbabwe's grocery delivery market, innovative solutions have emerged to overcome logistics and infrastructure limitations.
 
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Analyst Opinion

The convenience and speed of online shopping have made it a popular choice for consumers worldwide. Zimbabwe is no exception to this trend, and the grocery delivery market in the country is rapidly developing.

Customer preferences:
Zimbabwean consumers are increasingly turning to online grocery shopping due to its convenience and time-saving benefits. The ability to order groceries from the comfort of their homes and have them delivered to their doorstep is a major draw for customers. Additionally, the COVID-19 pandemic has further accelerated the shift towards online shopping, as consumers seek to avoid crowded public spaces.

Trends in the market:
The grocery delivery market in Zimbabwe is experiencing significant growth, with a number of new players entering the market in recent years. Key trends in the market include the rise of mobile-based grocery delivery apps, which allow customers to order groceries and track their delivery in real-time. Another trend is the emergence of online marketplaces that offer a wide range of grocery products from multiple retailers.

Local special circumstances:
Zimbabwe has a relatively low internet penetration rate, which has traditionally been a barrier to the growth of e-commerce in the country. However, the situation is rapidly changing, with the government and private sector investing heavily in improving internet infrastructure. Additionally, the country's relatively young population is increasingly tech-savvy and comfortable with online shopping.

Underlying macroeconomic factors:
Zimbabwe has been facing a number of economic challenges in recent years, including high inflation and a shortage of foreign currency. These factors have made it difficult for traditional brick-and-mortar retailers to operate, creating an opportunity for online grocery delivery services to fill the gap. Additionally, the country's relatively low labor costs make it an attractive market for e-commerce companies looking to expand into new markets.

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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