Market Insights Digital Online Food Delivery

Grocery Delivery - Malaysia

Malaysia

The projected revenue in the Grocery Delivery market in Malaysia is expected to reach US$2,150.00m in 2024.
This indicates a promising growth potential for the market in the country.
The revenue is also projected to show an annual growth rate (CAGR 2024-2028) of 12.02%, resulting in a projected market volume of US$3,385.00m by 2028, further highlighting the positive trajectory of the market.
In comparison to other countries, in China is expected to generate the highest revenue in the Grocery Delivery market, with an estimated value of US$266,000.00m in 2024.
This showcases the dominance of the Chinese market in this industry.
The average revenue per user (ARPU) in the Grocery Delivery market in Malaysia is projected to be US$284.20 in 2024.
This metric provides an insight into the average amount of revenue generated per user in the market.
Furthermore, the number of users in the Grocery Delivery market in Malaysia is expected to reach 9.9m users by 2028.
This indicates a substantial user base, highlighting the popularity and demand for grocery delivery services in the country.
Lastly, the user penetration rate in the Grocery Delivery market is projected to be at 22.3% in 2024.
This metric represents the proportion of the population that actively uses grocery delivery services, indicating the level of adoption and market saturation.
Overall, the projected revenue, market volume, average revenue per user, number of users, and user penetration rate in the Grocery Delivery market in Malaysia demonstrate a positive outlook for the industry in the country.
"Malaysia's grocery delivery market is experiencing rapid growth, fueled by increasing demand for convenience and online shopping."

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Analyst Opinion

Driven by COVID-19 lockdowns, Online Grocery Delivery demand increased rapidly with many new start-ups and established retailers fighting to respond, signaling a landmark year in 2021. Traditional grocery retailers quickly set up logistics, warehouses, and online sales channels for customers to be able to conveniently purchase their daily needs and have them delivered to their doorstep. This growth will slow down in 2022 due to the uncertain macroeconomic environment causing consumers to be more price-conscious and cut out discretionary spending.

Traditional retailers have remained the full basket-offerings option for both online and offline. Players such as Walmart, REWE, Ocado, and Tesco have a large assortment with same-day, scheduled delivery. Consumers are turning to Meal Kits as a replacement for these offerings. Quick Commerce is replacing the convenience stores concept with smaller product offerings, focused on top-up and confectionery items.

China is by far the leader of the Online Grocery Delivery market due to the mature Online Food Delivery market with the most established companies using existing logistics systems and a strong customer base to enhance their product offerings. For example, Meituan has a well-established logistics operation to be able to deliver groceries in under 20 minutes.

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.