Platform Delivery - India

India

Highlights

The Platform Delivery market in India is projected to reach a revenue of US$3.17bn by 2024.
It is expected to grow at an annual rate of 9.24% (CAGR 2024-2029), resulting in a projected market volume of US$4.94bn by 2029.
By that time, the number of users in the Platform Delivery market is expected to reach 100.5m users.
The user penetration rate is predicted to be 4.6% in 2024 and is expected to increase to 6.7% by 2029.
The average revenue per user (ARPU) is projected to be US$47.96.
In comparison to other countries, China is expected to generate the highest revenue in the Platform Delivery market, reaching US$166.80bn in 2024.
Additionally, China will have the highest user penetration rate in the market, projected to be 52.8%.
India's platform delivery market is experiencing exponential growth due to the increasing demand for convenience and efficiency in urban areas.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Platform Delivery market in India has been experiencing significant growth in recent years, driven by various factors such as the increasing adoption of e-commerce, rising internet penetration, and the growing demand for on-demand services.

Customer preferences: Customers in India are increasingly turning to online platforms for their shopping needs, which has led to a surge in demand for reliable and efficient delivery services. Additionally, there has been a growing preference for on-demand services, which has further fueled the growth of the Platform Delivery market in the country.

Trends in the market: One of the key trends in the Platform Delivery market in India is the increasing adoption of technology to improve delivery services. This includes the use of drones, robots, and other advanced technologies to enhance the speed and efficiency of deliveries. Another trend is the emergence of hyperlocal delivery services, which cater to the growing demand for faster and more localized deliveries.

Local special circumstances: India has a unique set of challenges when it comes to delivery services, including poor infrastructure, traffic congestion, and a highly fragmented market. To address these challenges, many companies in the Platform Delivery market have developed innovative solutions such as crowd-sourced deliveries and partnerships with local stores and businesses.

Underlying macroeconomic factors: The growth of the Platform Delivery market in India is also being driven by underlying macroeconomic factors such as the increasing disposable income of consumers and the rise of the middle class. Additionally, the Indian government's push towards digitalization and the increasing use of smartphones and other mobile devices are also contributing to the growth of the market.In conclusion, the Platform Delivery market in India is experiencing significant growth due to a combination of factors such as the increasing adoption of e-commerce, rising internet penetration, and the growing demand for on-demand services. To succeed in this market, companies will need to adopt innovative solutions to overcome the unique challenges posed by India's infrastructure and market fragmentation.

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.