Platform Delivery - EAEU

EAEU

Highlights

The Platform Delivery market in the EAEU is expected to generate a revenue of US$1.06bn by 2024.
This projection indicates a steady annual growth rate (CAGR 2024-2029) of 7.56%, resulting in a market volume of US$1.53bn by 2029.
Moreover, the number of users in this market is projected to reach 19.1m users by 2029.
The user penetration, which is the proportion of users in relation to the total population, is estimated to be 7.6% in 2024 and is expected to increase to 10.5% by 2029.
Additionally, the average revenue per user (ARPU) is projected to be US$76.21.
When comparing the Platform Delivery market globally, it is noteworthy that China is expected to generate the highest revenue, reaching US$166.80bn in 2024.
Furthermore, China also boasts the highest user penetration rate in the Platform Delivery market, projected to be 52.8%.
The EAEU is experiencing a growing trend in platform delivery services, with local startups leading the way in providing convenient and efficient delivery solutions.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Platform Delivery market in EAEU has been experiencing notable growth in recent years.

Customer preferences: Consumers in the EAEU region have shown a growing interest in online shopping and e-commerce platforms. This has led to an increase in demand for Platform Delivery services, as consumers expect fast and reliable delivery of their purchases. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping, further boosting the demand for Platform Delivery services.

Trends in the market: One trend in the Platform Delivery market in EAEU is the increasing use of technology to improve the delivery process. This includes the use of drones and autonomous vehicles for delivery, as well as the implementation of real-time tracking and delivery updates for customers. Another trend is the growth of same-day and next-day delivery services, as consumers increasingly expect faster delivery times.

Local special circumstances: The EAEU region consists of five countries with diverse economic and political systems, which can create unique challenges for Platform Delivery companies operating in the region. For example, cross-border trade between member states can be complicated by differences in regulations and customs procedures. Additionally, the region's vast size and diverse geography can make it difficult to provide consistent and efficient delivery services across all areas.

Underlying macroeconomic factors: The growth of the Platform Delivery market in EAEU can be attributed to several macroeconomic factors, including increasing internet penetration and smartphone usage, rising disposable incomes, and a growing middle class. Additionally, the region's large and growing population presents a significant market opportunity for Platform Delivery companies. However, the region also faces challenges such as political instability, corruption, and economic sanctions, which can impact the growth of the market.

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.