Meal Delivery - Indonesia | Statista Market Forecast

In 2024, the projected revenue in the Meal Delivery market in Indonesia is expected to reach US$7.19bn.
It is anticipated that the market will experience an annual growth rate of US$112.50 from 2024 to 2029, resulting in a projected market volume of US$9.38bn by 2029.
The Restaurant Deliverymarket is estimated to have a market volume of US$5.11bn in 2024.
When compared globally, China is projected to generate the highest revenue in the Meal Delivery market, amounting to US$184.50bn in 2024.
The average revenue per user (ARPU) in the Meal Delivery market is expected to be US$112.50 in 2024.
By 2029, the number of users in the Meal Delivery market is predicted to reach 74.1m users.
The user penetration rate in the Meal Delivery market is projected to be 22.9% in 2024.
The meal delivery market in Indonesia is experiencing rapid growth due to the increasing popularity of online food ordering platforms.

Definition:

Meal Delivery is the online ordering and delivery of prepared meals by a restaurant or a platform for direct consumption. Orders are typically placed in an app or on a website. The delivery is handled by the platform enterprise (e.g. Deliveroo) or directly by the restaurant (e.g. Domino’s).

Structure:

Meal Delivery contains the user and revenue development of two different delivery service solutions for prepared meals: (1) Restaurant Delivery and (2) Platform Delivery. The Restaurant Delivery market includes the delivery of meals carried out directly by the restaurants. The order may be made via platforms (e.g. Delivery Hero, Just Eat) or directly through a restaurant website (e.g. Domino's). The Platform Delivery market focuses on online delivery services that provide customers with meals from partner restaurants that do not necessarily have to offer food delivery themselves. In this case, the platform (e.g. Deliveroo) handles the delivery process.).

Additional Information:

Revenue includes the gross merchandise value (GMV), defined as the total sales dollar value for merchandise/food sold through the Online Food Delivery marketplace. User and revenue figures represent B2C services.

Meals ordered online which are directly delivered by the restaurant, no matter if ordered via a platform (e.g. Delivery Hero) or a restaurant website (e.g. Domino's)
Online meal order and delivery both carried out by a platform (e.g. Deliveroo)
Online orders that are picked up in the restaurant

Phone orders
Deliveries of non-processed or non-prepared food (e.g. HelloFresh)

The Meal Delivery market in Indonesia has experienced significant growth in recent years, driven by a combination of customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences: Indonesian consumers have increasingly turned to meal delivery services due to the convenience and time-saving benefits they offer. With many people leading busy lives, meal delivery services provide a quick and easy solution for those who do not have the time or inclination to cook. Furthermore, the COVID-19 pandemic has accelerated the adoption of meal delivery services as people have been forced to stay at home and avoid crowded places.

Trends in the market: One key trend in the Indonesian meal delivery market is the rise of healthy food options. Consumers are becoming more health-conscious and are seeking out meal delivery services that offer nutritious and balanced meals. Another trend is the growth of online ordering platforms, which make it easier for consumers to order meals and for restaurants to manage their orders. Finally, there is a growing trend towards sustainability, with many consumers looking for meal delivery services that use eco-friendly packaging and support local farmers.

Local special circumstances: Indonesia is a vast archipelago with over 17,000 islands, which presents unique challenges for meal delivery companies. The country's infrastructure is still developing, and many areas are difficult to access, which can make it challenging to deliver meals quickly and efficiently. Furthermore, Indonesia has a diverse culinary landscape, with many regional cuisines and local specialties. This presents an opportunity for meal delivery companies that can cater to local tastes and preferences.

Underlying macroeconomic factors: Indonesia is the fourth most populous country in the world, with a rapidly growing middle class. This has created a large and growing market for meal delivery services. Furthermore, the country's economy has been growing steadily in recent years, which has led to increased disposable income and consumer spending. Finally, Indonesia has a young and tech-savvy population, which has helped to drive the growth of online ordering platforms and digital payment methods.

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.

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