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Convenience Food - Zimbabwe

Zimbabwe
  • Revenue in the Convenience Food Market is projected to reach US$2.55m in 2025.
  • Revenue is expected to show an annual growth rate (CAGR 2025-2029) of 0.00%, resulting in a projected market volume of US$2.55m by 2029.
  • With a projected market volume of US$33.22bn in 2025, most revenue is generated China.
  • In the Convenience Food Market, the number of users is expected to amount to 217.3k users by 2029.
  • User penetration will be 2.1% in 2025 and is expected to hit 2.0% by 2029.
  • The average revenue per user (ARPU) is expected to amount to US$15.81.

Definition:

The eCommerce market Convenience Food covers digital sales of a very narrowly defined range of goods, such as ready-to-eat meals and soups. However, it does not include products such as frozen vegetables, freshly prepared salads, and cut fruit.

Structure:

The eCommerce market for Convenience Food consists of two different markets:

  • The Ready-to-Eat Meals market includes prepared food and meals that can be eaten as is or after minimal preparation. These meals do not require cooking and are typically consumed after heating. These meals may also include disposable eating utensils. Classic frozen foods include meat, fish, vegetables, filled pasta, and frozen pizzas.
  • The Soups market contains any type of soup that is ready for consumption immediately after purchase or after heating. These soups require minimal preparation by the consumer and included instant soups that typically come in powdered form and broth or liquid soups that are purchased in prepared form such as tinned soups.

Additional Information:

Convenience Food comprises revenues, users, average revenue per user, and penetration rates. Revenues are derived from annual filings, national statistical offices, Google- and Alibaba-Trends and industry knowledge. Sales Channels show online and offline revenue shares, as well as, desktop and mobile sales distribution. Revenues are including VAT. The market only displays B2C revenues and users for the above-mentioned markets, hence C2C, B2B and reCommerce is not included. Additional definitions can be found on each respective market page.

Key players in the market are companies like Amazon, Tmall, JD, Taobao, Pinduoduo and Walmart.

Market numbers for the total market sizes (online + offline) can also be found on the respective pages of the Consumer Market Insights.

In-Scope
  • Ready-to-eat meals such as Lean Cuisine
  • Soups such as Campbells
Out-Of-Scope
  • Fresh cut salad such as Fresh Express
Convenience Food eCommerce: market data & analysis - Cover

Market Insights report

Convenience Food eCommerce: market data & analysis
Study Details

    Revenue

    Notes: Data was converted from local currencies using average exchange rates of the respective year.

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Analyst Opinion

    The Convenience Food eCommerce Market in Zimbabwe is facing mild decline, influenced by shifting consumer preferences, economic challenges, and limited access to reliable internet services, which affect the purchase of ready-to-eat meals and soups online.

    Customer preferences:
    Consumers in Zimbabwe are increasingly gravitating towards healthier and locally sourced convenience food options, reflecting a growing awareness of nutrition and wellness. As urbanization accelerates, younger demographics are seeking quick meal solutions that align with their busy lifestyles, favoring products that are both affordable and culturally relevant. Additionally, the rise of social media influences food choices, prompting brands to adapt their offerings to include traditional flavors in ready-to-eat meals, catering to a nostalgia-driven market while leveraging eCommerce platforms for accessibility.

    Trends in the market:
    In Zimbabwe, the Convenience Food eCommerce Market is experiencing a surge in demand for healthier, locally sourced meal options, driven by a rising consumer focus on nutrition and wellness. As urban populations grow, younger consumers are increasingly seeking quick, affordable meals that resonate with their cultural backgrounds. The influence of social media is significant, as it shapes food preferences and encourages brands to innovate by incorporating traditional flavors into ready-to-eat products. This trend not only enhances accessibility through eCommerce platforms but also presents opportunities for local producers and investors to tap into a nostalgia-driven market, fostering economic growth and community engagement.

    Local special circumstances:
    In Zimbabwe, the Convenience Food eCommerce Market is uniquely shaped by its rich cultural heritage and diverse culinary traditions, which influence consumer preferences towards locally inspired meal options. The country's varied geography, encompassing urban centers and rural areas, necessitates innovative logistics solutions for efficient food delivery. Additionally, regulatory frameworks that support local producers enhance the availability of traditional ingredients in ready-to-eat meals. This local context fosters a dynamic market landscape, encouraging brands to blend convenience with authenticity, tapping into Zimbabweans' nostalgia while promoting sustainable practices.

    Underlying macroeconomic factors:
    The Convenience Food eCommerce Market in Zimbabwe is significantly impacted by macroeconomic factors, including inflation rates, currency stability, and consumer spending power. As the national economy grapples with challenges such as fluctuating exchange rates and high inflation, disposable incomes are strained, affecting purchasing behavior in the food sector. Additionally, fiscal policies that promote local agricultural production enhance the resilience of supply chains, ensuring the availability of traditional ingredients. Global trends in eCommerce and food delivery services also play a crucial role, as increased internet penetration and mobile payment systems facilitate access to online convenience food options, driving market growth despite local economic challenges.

    Sales Channels

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Users

    Most recent update: Aug 2024

    Source: Statista Market Insights

    Global Comparison

    Most recent update: Jul 2024

    Source: Statista Market Insights

    Methodology

    Data coverage:

    Data refers to B2C enterprises. Figures are based on the sale of physical goods via a digital channel to a private end consumer. This definition encompasses purchases via desktop computers (including notebooks and laptops) as well as purchases via mobile devices (e.g., smartphones and tablets). The following are not included in the eCommerce market: digitally distributed services (see instead: eServices), digital media downloads or streams, digitally distributed goods in B2B markets, and the digital purchase or resale of used, defective, or repaired goods (reCommerce and C2C). All monetary figures refer to the annual gross revenue and do not factor in shipping costs.

    Modeling approach / Market size:

    Market sizes are determined by a combined top-down and bottom-up approach, based on a specific rationale for each market segment. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., Statista Consumer Insights Global Survey), data on shopping behavior (e.g., Google Trends, Alibaba Trends), and performance factors (e.g., user penetration, price/product). Furthermore, we use relevant key market indicators and data from country-specific associations such as GDP, consumer spending, internet penetration, and population. 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 particular market. For example, the S-curve function and exponential trend smoothing are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, internet penetration, and population.

    Additional Notes:

    The market is updated twice per year in case market dynamics change. The impact of the COVID-19 pandemic is considered at a country-specific level. The impact of the Russia/Ukraine war is considered at a country-specific level.

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    Convenience Food eCommerce: market data & analysis - BackgroundConvenience Food eCommerce: market data & analysis - Cover

    Key Market Indicators

    Notes: Based on data from IMF, World Bank, UN and Eurostat

    Most recent update: Jan 2025

    Source: Statista Market Insights

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