Retail Delivery - Indonesia

Indonesia

Highlights

The Reail Delivery market in Indonesia is projected to reach a revenue of US$10.58bn in 2024.
It is expected to demonstrate an annual growth rate (CAGR 2024-2029) of 20.68%, resulting in a projected market volume of US$27.07bn by 2029.
Furthermore, the number of users in the Reail Delivery market is anticipated to amount to 73.5m users by 2029.
The user penetration rate is projected to be 17.9% in 2024 and is expected to increase to 25.3% by 2029.
The average revenue per user (ARPU) is estimated to reach US$210.70.
In terms of global comparison, the highest revenue is anticipated to be generated United States, reaching US$195.40bn in 2024.
On the other hand, United States is expected to have the highest user penetration rate in the Reail Delivery market, with a projected rate of 30.4%.
The rise of e-commerce platforms in Indonesia has led to a surge in demand for efficient and reliable retail delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Retail delivery in Indonesia has been experiencing significant growth in recent years. This market is being driven by a number of factors, including changing customer preferences, local special circumstances, and underlying macroeconomic factors.

Customer preferences: One of the main drivers of the growth in the retail delivery market in Indonesia is changing customer preferences. As more Indonesians move to urban areas and adopt more modern lifestyles, they are increasingly looking for convenient and efficient ways to shop. This has led to a surge in demand for online shopping and home delivery services. Consumers are looking for a wider range of products, faster delivery times, and more affordable prices.

Trends in the market: The retail delivery market in Indonesia is characterized by a number of trends. One of the most notable is the rise of e-commerce platforms, which have become increasingly popular in recent years. These platforms are driving growth in the retail delivery market by making it easier for consumers to shop online and have their purchases delivered to their doorstep. Another trend is the increasing use of mobile devices for shopping and payment. This is particularly important in Indonesia, where mobile penetration is high and many consumers do not have access to traditional banking services.

Local special circumstances: There are a number of local special circumstances that are driving the growth of the retail delivery market in Indonesia. One of the most important is the country's geography. Indonesia is made up of more than 17,000 islands, which makes it difficult and expensive to transport goods across the country. This has created a need for efficient and cost-effective delivery services that can reach even the most remote areas. Another factor is the country's large and growing middle class, which is driving demand for high-quality products and services.

Underlying macroeconomic factors: Finally, there are a number of underlying macroeconomic factors that are driving the growth of the retail delivery market in Indonesia. One of the most important is the country's strong economic growth, which has been averaging around 5% per year over the past decade. This has led to rising incomes and increased consumer spending, which in turn has driven demand for retail delivery services. Another factor is the country's young and tech-savvy population, which is driving the adoption of new technologies and services.

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.