Meal Delivery - Indonesia

  • Indonesia
  • 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$118.10 from 2024 to 2029, resulting in a projected market volume of US$10.60bn 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$182,900.00m in 2024.
  • The average revenue per user (ARPU) in the Meal Delivery market is expected to be US$118.10 in 2024.
  • By 2029, the number of users in the Meal Delivery market is predicted to reach 75.1m users.
  • The user penetration rate in the Meal Delivery market is projected to be 21.8% in 2024.
  • The meal delivery market in Indonesia is experiencing rapid growth due to the increasing popularity of online food ordering platforms.
 
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Analyst Opinion

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.

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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