Quick Commerce - Kyrgyzstan

Kyrgyzstan

Highlights

The Quick Commerce market in Kyrgyzstan is projected to reach a revenue of US$2.84m in 2024.
This market is expected to show an annual growth rate of 15.28% from 2024 to 2029, resulting in a projected market volume of US$5.79m by 2029.
Furthermore, the number of users in the Quick Commerce market is expected to reach 321.5k users by 2029.
The user penetration rate, which is currently at 2.3% in 2024, is expected to increase to 4.4% by 2029.
The average revenue per user (ARPU) is projected to be US$17.73.
In global comparison, China is expected to generate the highest revenue in the Quick Commerce market, with an estimated amount of US$80.84bn in 2024.
Additionally, China will have the highest user penetration rate in the Quick Commerce market, projected to be 21.4%.
The quick commerce market in Kyrgyzstan is booming, with a proliferation of local delivery platforms catering to the growing demand for convenience and speed.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Kyrgyzstan, a small country in Central Asia, has been witnessing a surge in the Quick Commerce market in recent years.

Customer preferences: Kyrgyzstan has a young population with a high percentage of internet users, which has led to an increase in demand for online shopping. The convenience of ordering goods online and having them delivered within a short time frame has been a major driving force behind the growth of the Quick Commerce market in the country.

Trends in the market: The Quick Commerce market in Kyrgyzstan has been growing rapidly, with a number of local and international players entering the market. One of the major trends in the market is the increasing popularity of mobile shopping. With the majority of the population owning smartphones, mobile apps have become a preferred platform for online shopping. Another trend is the emergence of niche Quick Commerce platforms that cater to specific customer needs, such as organic food or luxury items.

Local special circumstances: Kyrgyzstan's geography and infrastructure have presented unique challenges for the Quick Commerce market. The country's mountainous terrain and underdeveloped road network make delivery logistics difficult, particularly in rural areas. However, some Quick Commerce companies have been able to overcome these challenges by partnering with local delivery services and leveraging technology to optimize their delivery routes.

Underlying macroeconomic factors: Kyrgyzstan's economy is heavily dependent on remittances from migrant workers, which has led to a relatively low level of disposable income for the local population. However, the country's growing middle class and increasing internet penetration have created a new market for Quick Commerce companies. Additionally, the government's efforts to improve the business climate and attract foreign investment have contributed to the growth of the Quick Commerce market in Kyrgyzstan.

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.