Quick Commerce - Worldwide

Worldwide

Highlights

The Quick Commerce market worldwide is anticipated to achieve a remarkable revenue milestone of US$170.80bn by the year 2024.
This projection indicates a promising future for the market.
Furthermore, it is expected that the revenue will experience a steady annual growth rate (CAGR 2024-2029) of 9.24%, resulting in a projected market volume of US$265.70bn by 2029.
The Quick Commerce market is also predicted to witness a substantial increase in the number of users, reaching approximately 884.3m users by 2029.
This growth in user base signifies the expanding popularity and adoption of Quick Commerce market services.
The user penetration rate, which currently stands at 7.7% in 2024, is expected to reach 11.0% by 2029.
This indicates a significant proportion of the population engaging with Quick Commerce market platforms.
Moreover, the average revenue per user (ARPU) is estimated to reach US$285.90, highlighting the potential profitability of the market.
In terms of global comparison, China is projected to generate the highest revenue in the Quick Commerce market, amounting to US$80.84bn in 2024.
This exemplifies China's dominance in the Quick Commerce market sector within the global market landscape.
Despite its global reach, the quick commerce market in the United States remains highly competitive and saturated with numerous players vying for market share.

Market definitionIn-Scope/Out-of-scopeMarket structureReportsMethodology

The Quick Commerce market has been rapidly expanding across the globe in recent years, driven by the increasing demand for fast and convenient delivery services.

Customer preferences: Customers are increasingly seeking out fast and efficient delivery options, with many opting for same-day or even one-hour delivery services. This has led to the rise of Quick Commerce companies, which specialize in providing ultra-fast delivery services for a variety of goods, including food, groceries, and household items. Customers also value the convenience of being able to place orders quickly and easily through mobile apps or online platforms.

Trends in the market: In the United States, the Quick Commerce market has seen significant growth in recent years, with many major retailers and delivery companies investing in same-day delivery services. In Asia, the market has been dominated by companies such as Alibaba's Ele.me and Meituan Dianping, which offer a wide range of delivery services, including food, groceries, and even beauty products. In Europe, the market is still relatively new, but companies such as Gorillas and Flink are quickly gaining popularity by offering ultra-fast delivery of groceries and household items.

Local special circumstances: In China, the Quick Commerce market has been driven in part by the country's large population and high population density, which makes it difficult for traditional delivery companies to provide fast and efficient services. In Europe, the market has been influenced by the COVID-19 pandemic, which has led to an increased demand for online shopping and home delivery services. In the United States, the market has been shaped by the dominance of major retailers such as Amazon and Walmart, which have invested heavily in same-day delivery services to compete with each other.

Underlying macroeconomic factors: The growth of the Quick Commerce market can be attributed to a number of underlying macroeconomic factors, including the increasing availability of mobile technology, rising consumer expectations for fast and convenient delivery, and the growing popularity of e-commerce. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping and home delivery services, further driving the growth of the Quick Commerce market. As the market continues to expand, it is likely that we will see new players enter the space and existing companies continue to innovate and improve their delivery services to meet the evolving needs of customers.

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. All monetary figures refer to consumer spending on digital goods or subscriptions in the respective market. Gross merchandise value is calculated prior to the deduction of any fees or expenses..

Modeling approach:

Market sizes are determined through a bottom-up approach, building on specific predefined factors for each market. As a basis for evaluating markets, we use annual financial reports of the market-leading companies and industry associations, third-party studies and reports, survey results from our primary research (e.g., the Statista Consumer Insights Global survey), data on shopping behavior (e.g., Google Trends, Alibaba Trends), as well as performance factors (e.g., user penetration, price per product, usage). In addition, we use relevant key market indicators and data from country-specific associations, such as GDP, number of internet users, and internet consumption. 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 are well suited for forecasting digital products and services due to the non-linear growth of technology adoption. The main drivers are GDP per capita, consumer spending per capita, and internet penetration.

Additional notes:

The data is modeled using current exchange rates. The impact of the COVID-19 pandemic and the Russia-Ukraine war are considered at a country-specific level. The market is updated twice a year. In some cases, the data is updated on an ad hoc basis (e.g., when new, relevant data has been released or significant changes within the market have an impact on the projected development). Data from the Statista Consumer Insights Global survey is reweighted for representativeness.