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:
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.
Notes: Data was converted from local currencies using average exchange rates of the respective year.
Most recent update:
Source: Statista Market Insights
Most recent update:
Source: Statista Market Insights
The Convenience Food eCommerce Market in Asia is witnessing remarkable growth, fueled by the rising demand for ready-to-eat options, increased internet penetration, and busy lifestyles that drive consumers towards quick meal solutions, enhancing overall market dynamics.
Customer preferences: In the Convenience Food eCommerce Market in Asia, consumers are increasingly gravitating towards plant-based and health-conscious meal options, reflecting a broader shift towards sustainable eating habits. This trend is particularly pronounced among younger demographics who prioritize wellness and environmental impact. Additionally, the integration of local flavors into ready-to-eat meals caters to cultural preferences, enhancing consumer engagement. The rise of mobile payment solutions and social media marketing further facilitates this transition, making online shopping more accessible and appealing.
Trends in the market: In Asia, the Convenience Food eCommerce Market is experiencing a surge in demand for plant-based and health-focused meal options, driven by a younger demographic that values wellness and sustainability. The integration of traditional local flavors into ready-to-eat meals is enhancing cultural relevance, fostering deeper consumer connections. With the increasing adoption of mobile payment systems and the power of social media marketing, online shopping is becoming more convenient and engaging. These trends signify a shift towards conscious consumption, prompting industry stakeholders to innovate product offerings and adapt marketing strategies to meet evolving consumer preferences.
Local special circumstances: In China, the Convenience Food eCommerce Market is heavily influenced by the rapid urbanization and busy lifestyles of its population, leading to a growing demand for ready-to-eat meals that incorporate regional flavors. In Japan, the emphasis on quality and presentation drives consumers towards premium convenience foods, while traditional meal kits are gaining traction among busy professionals. In India, a diverse culinary landscape promotes the demand for plant-based options, with local flavors enhancing appeal. In South Korea, tech-savvy consumers are attracted to innovative packaging and online platforms that emphasize health and convenience, reflecting cultural trends towards wellness.
Underlying macroeconomic factors: The Convenience Food eCommerce Market in Asia is significantly shaped by macroeconomic factors such as rising disposable incomes, urbanization, and shifts in consumer behavior. Global economic trends, including increased digital adoption and globalization, have facilitated the expansion of e-commerce platforms, making convenience foods more accessible. National economic health varies, with countries like China and India experiencing robust growth, which bolsters consumer spending on ready-to-eat meals. Fiscal policies promoting e-commerce and food safety standards enhance market trust, while changing demographics, such as busy lifestyles and a growing middle class, further drive demand for convenience foods tailored to local tastes and preferences.
Most recent update:
Source: Statista Market Insights
Most recent update:
Source: Statista Market Insights
Most recent update:
Source: Statista Market Insights
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.Notes: Based on data from IMF, World Bank, UN and Eurostat
Most recent update:
Source: Statista Market Insights
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