Quick Commerce - CIS

CIS

Highlights

The Quick Commerce market in the CIS region is projected to achieve a revenue of US$1.19bn by 2024.
This market is expected to witness an annual growth rate of 7.45% (CAGR 2024-2029), resulting in a projected market volume of US$1.70bn by 2029.
Furthermore, the number of users in the Quick Commerce market is anticipated to reach 13.4m users by 2029.
In terms of user penetration, it is predicted to be 3.9% in 2024 and is expected to increase to 5.5% by 2029.
The average revenue per user (ARPU) is estimated to be US$126.00.
When comparing the Quick Commerce market globally, China is expected to generate the highest revenue, reaching an impressive US$80.84bn by 2024.
China also boasts the highest user penetration rate in the Quick Commerce market, projected to be 21.4%.
In CIS, the Quick Commerce market is booming, with online platforms like Yandex.Lavka and Samokat gaining popularity for their fast and convenient delivery services.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

Quick Commerce, or Q-Commerce, is a rapidly growing market in the CIS region. The convenience of having goods delivered quickly and efficiently has become increasingly important to customers, leading to the rise of Q-Commerce in the region.

Customer preferences: Customers in the CIS region have shown a strong preference for convenience and speed when it comes to shopping. With busy work schedules and long commutes, many customers do not have the time or energy to visit physical stores. Instead, they prefer to order products online and have them delivered quickly. This has led to the rise of Q-Commerce in the region, as companies compete to offer the fastest and most efficient delivery services.

Trends in the market: One trend in the Q-Commerce market in the CIS region is the increasing popularity of mobile ordering. Customers are using their smartphones to order products online, making it easier and more convenient to shop. Another trend is the rise of local Q-Commerce companies, which are often better equipped to navigate the unique challenges of the CIS market. These companies are able to offer faster and more efficient delivery services, which is important in a region where logistics can be challenging.

Local special circumstances: The CIS region is a unique market, with its own set of challenges and opportunities. One challenge is the vast size of the region, which can make logistics difficult. However, this has also created opportunities for companies that are able to navigate the complex logistics of the region. Another challenge is the relatively low level of e-commerce adoption in some parts of the region. However, this is changing rapidly, as more customers become comfortable with online shopping.

Underlying macroeconomic factors: The Q-Commerce market in the CIS region is being driven by a number of macroeconomic factors. One of the most important is the growth of the middle class in the region. As more people move into the middle class, they are able to afford more goods and services, which is driving demand for Q-Commerce. Another factor is the increasing importance of technology in the region. As more people gain access to smartphones and the internet, they are becoming more comfortable with online shopping, which is driving the growth of Q-Commerce. Finally, the region's geography and infrastructure are also important factors. The vast size of the region and the challenging logistics of some areas are creating opportunities for companies that are able to offer fast and efficient delivery services.

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.