Platform Delivery - Indonesia

  • Indonesia
  • The Platform Delivery market in Indonesia is projected to reach a revenue of US$5.11bn in 2024.
  • This is expected to show an annual growth rate (CAGR 2024-2029) of 9.13%, resulting in a projected market volume of US$7.91bn by 2029.
  • In Indonesia's Platform Delivery market, the number of users is expected to amount to 44.0m users by 2029.
  • The user penetration rate is set to be 13.3% in 2024 and is expected to rise to 15.2% by 2029.
  • The average revenue per user (ARPU) is projected to be US$136.90.
  • In global comparison, China is expected to generate the highest revenue in the Platform Delivery market, with US$165,200.00m in 2024.
  • China also has the highest user penetration rate in the market, projected to be 52.8%.
  • Indonesia's platform delivery market is experiencing significant growth due to the country's large population and increasing demand for convenient and efficient delivery services.
 
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Analyst Opinion

The Platform Delivery market in Indonesia has experienced a significant growth in recent years, driven by the increasing demand for convenience and efficiency in the delivery of goods and services.

Customer preferences:
Indonesian customers are increasingly turning to online platforms for their shopping needs, with the e-commerce sector experiencing a significant growth in recent years. This growth has been driven by the increasing availability of internet access and the rising popularity of mobile devices in the country. As a result, there has been a growing demand for efficient and reliable delivery services, which has led to the growth of the Platform Delivery market.

Trends in the market:
One of the key trends in the Platform Delivery market in Indonesia is the increasing adoption of on-demand delivery services. Customers are increasingly looking for faster and more convenient delivery options, which has led to the rise of on-demand delivery platforms. These platforms offer a range of delivery options, from same-day to express delivery, and are becoming increasingly popular among customers.Another trend in the market is the increasing use of technology to improve delivery services. Many Platform Delivery companies in Indonesia are investing in technology to improve their delivery processes, including the use of GPS tracking and real-time updates for customers. This has helped to improve the efficiency and reliability of delivery services, which has led to increased customer satisfaction.

Local special circumstances:
Indonesia is a geographically diverse country, with many islands and remote areas that can be difficult to access. This has created unique challenges for the Platform Delivery market, as companies need to find ways to deliver goods and services to these areas. However, this has also created opportunities for companies that are able to offer innovative solutions for delivering to remote areas.

Underlying macroeconomic factors:
The growth of the Platform Delivery market in Indonesia is also being driven by underlying macroeconomic factors, including the country's growing middle class and rising disposable income. As more Indonesians enter the middle class, they are becoming increasingly interested in online shopping and delivery services. This trend is expected to continue in the coming years, which will further drive the growth of the Platform Delivery market in Indonesia.

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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