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Platform Delivery - Central Asia

Central Asia

The Platform Delivery market in Central Asia is expected to witness significant growth in the coming years.
According to projections, the revenue in this market is set to reach US$35.87m by 2024.
Furthermore, a steady annual growth rate of 11.01% (CAGR 2024-2029) is anticipated, leading to a projected market volume of US$60.47m by 2029.
In terms of user base, the number of users is expected to reach 2.6m users by 2029.
The user penetration rate, which measures the percentage of the population using Platform Delivery market services, is predicted to increase from 2.0% in 2024 to 3.1% by 2029.
This suggests a growing adoption of these services within the Central Asian region.
When it comes to average revenue per user (ARPU), it is estimated to be US$22.83.
This indicates the average amount of revenue generated per user in the Platform Delivery market.
In a global context, China is expected to generate the highest revenue in the Platform Delivery market, with approximately US$165,200.00m in 2024.
Additionally, China also leads in terms of user penetration, with a projected rate of 52.8%.
This means that nearly half of the population China is expected to use Platform Delivery market services by 2029.
In Central Asia, the platform delivery market is experiencing rapid growth due to the increasing demand for online shopping and convenience.

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Analyst Opinion

The Platform Delivery market in Central Asia is experiencing a steady growth due to various underlying factors.

Customer preferences: Customers in Central Asia are increasingly demanding more efficient and faster delivery services. The rise of e-commerce has led to an increase in demand for platform delivery services. Customers prefer platforms that offer a variety of delivery options, including same-day and next-day delivery. They also value platforms that provide real-time tracking and notifications.

Trends in the market: Central Asia is experiencing a rise in the number of platform delivery companies. The market is becoming more competitive, with companies offering competitive pricing and innovative delivery options. There is also a trend towards the use of drones and autonomous vehicles for delivery, which is expected to increase efficiency and reduce delivery times.

Local special circumstances: Central Asia has a unique geography, with many remote and hard-to-reach areas. This has led to the development of specialized delivery services that cater to these areas. Additionally, the region has a diverse population with different languages and cultural preferences. Platform delivery companies need to take these factors into consideration when developing their services.

Underlying macroeconomic factors: The growth of the platform delivery market in Central Asia is supported by several macroeconomic factors. The region has a growing middle class with increasing disposable income, which has led to an increase in e-commerce sales. Additionally, the region is experiencing rapid urbanization, which has led to an increase in demand for delivery services. The governments in the region are also investing in infrastructure development, which is expected to improve logistics and transportation networks.

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.