Quick Commerce - Moldova

  • Moldova
  • The Quick Commerce market in Moldova is forecasted to generate a revenue of US$5.59m in 2024.
  • This market is expected to witness a steady annual growth rate (CAGR 2024-2029) of 12.56%, resulting in a projected market volume of US$10.10m by 2029.
  • By 2029, the number of users in the Quick Commerce market in Moldova is estimated to reach 315.2k users.
  • The user penetration rate, which represents the proportion of the population using Quick Commerce market services, is projected to be 5.7% in 2024 and is anticipated to increase to 9.9% by 2029.
  • The average revenue per user (ARPU) is expected to be US$29.50.
  • In a global context, China is anticipated to generate the highest revenue in the Quick Commerce market, with a staggering US$80,840.00m in 2024.
  • Moreover, China boasts the highest user penetration rate in the Quick Commerce market, projected to be 21.4%.
  • Moldova's Quick Commerce market is witnessing a surge in demand as consumers increasingly rely on efficient delivery services for their daily essentials.
 
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Analyst Opinion

Quick Commerce, also known as Q-Commerce, is a rapidly growing market in Moldova, driven by the increasing demand for fast and convenient delivery services.

Customer preferences:
Moldovan consumers are increasingly seeking fast and efficient delivery services due to their busy lifestyles. The younger generation, in particular, is highly tech-savvy and prefers to shop online, making Q-Commerce a popular choice for them. Additionally, the ongoing COVID-19 pandemic has further accelerated the growth of the Q-Commerce market, as consumers are opting for contactless delivery options.

Trends in the market:
One of the major trends in the Q-Commerce market in Moldova is the rise of food delivery services. With the increasing number of restaurants and cafes, consumers are looking for quick and convenient ways to get their meals delivered. Another trend is the emergence of same-day delivery services, which has become a key differentiator for Q-Commerce companies. Moreover, the integration of technology, such as mobile apps and GPS tracking, has made it easier for consumers to place orders and track their deliveries.

Local special circumstances:
Despite the growing demand for Q-Commerce services in Moldova, the market is still in its early stages of development. The lack of proper infrastructure, such as roads and logistics networks, poses a challenge for Q-Commerce companies. Additionally, the country's small size and low population density make it difficult for companies to achieve economies of scale.

Underlying macroeconomic factors:
Moldova's economy heavily relies on agriculture and remittances from migrant workers, which affects the purchasing power of consumers. However, the country's GDP has been steadily increasing in recent years, which has led to an increase in disposable income. This, coupled with the growing middle class, has created a favorable environment for Q-Commerce companies to thrive. Additionally, the government's efforts to improve the country's business environment and attract foreign investment have also contributed to the growth of the Q-Commerce market.

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.

Overview

  • Revenue
  • Analyst Opinion
  • Users
  • Global Comparison
  • Methodology
  • Key Market Indicators
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