The Platform Delivery market in BRICS has been experiencing significant growth in recent years, driven by various factors such as increasing internet penetration, rising smartphone adoption, and changing consumer preferences.
Customer preferences: Customers in BRICS countries are increasingly looking for convenience and speed in delivery services, with a preference for same-day or next-day delivery options. This has led to the emergence of various platform delivery services that offer faster and more efficient delivery options. Additionally, customers are also looking for more transparency in the delivery process, with real-time tracking and updates becoming increasingly important.
Trends in the market: In Brazil, the platform delivery market has been growing rapidly, with the emergence of various players offering delivery services for food, groceries, and other goods. The market has also seen the entry of international players such as Uber Eats and Rappi, which have further driven the growth of the market.In Russia, the platform delivery market has been dominated by local players such as Yandex and Delivery Club, which have been expanding their services to cover a wider range of products. The market has also seen the emergence of new players such as Samokat and Instamart, which offer specialized delivery services.In India, the platform delivery market has been driven by the growth of e-commerce, with players such as Flipkart and Amazon expanding their delivery services. The market has also seen the emergence of new players such as Swiggy and Zomato, which offer food delivery services.In China, the platform delivery market has been dominated by players such as Meituan and Ele.me, which offer delivery services for food, groceries, and other goods. The market has also seen the emergence of new players such as Didi Chuxing, which has expanded its services to cover delivery.
Local special circumstances: Each BRICS country has its own unique set of circumstances that have contributed to the growth of the platform delivery market. For example, in Brazil, the market has been driven by a large population and a growing middle class, which has led to increased demand for delivery services. In Russia, the market has been driven by a lack of infrastructure and a large population, which has made delivery services more necessary. In India, the market has been driven by the growth of e-commerce and a large population of tech-savvy consumers. In China, the market has been driven by a large population and a growing middle class, which has led to increased demand for convenience and speed in delivery services.
Underlying macroeconomic factors: The growth of the platform delivery market in BRICS countries has been supported by various macroeconomic factors such as increasing internet penetration, rising smartphone adoption, and changing consumer preferences. Additionally, the growth of e-commerce and the rise of the sharing economy have also contributed to the growth of the market. However, the market also faces challenges such as regulatory issues, competition, and the need for investment in infrastructure and technology.
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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