Quick Commerce - Worldwide

The Quick Commerce market within the Grocery Delivery sector is witnessing substantial growth globally, fueled by factors such as increasing consumer demand for convenience, rapid urbanization, and advancements in delivery technology that enhance service efficiency.

Customer preferences: Consumers are increasingly prioritizing speed and convenience in their grocery shopping experiences, leading to a surge in demand for quick commerce solutions. This shift is particularly pronounced among younger demographics, who favor on-demand services that align with their fast-paced lifestyles. Additionally, urban dwellers are embracing delivery options that cater to their busy schedules, while cultural preferences for fresh, local produce are influencing purchasing decisions. As sustainability becomes a key concern, eco-friendly packaging and local sourcing are also gaining traction among consumers.

Trends in the market: In the global Quick Commerce Market of the Grocery Delivery sector, there is a notable increase in demand for ultra-fast delivery services, with companies striving to deliver groceries within minutes. In urban centers, this trend is being driven by tech-savvy consumers who prioritize convenience and immediacy in their shopping habits. Furthermore, the emphasis on sustainability is prompting businesses to adopt greener practices, such as eco-friendly packaging and sourcing from local farms. As these trends evolve, they are reshaping the competitive landscape, compelling stakeholders to innovate and adapt to consumer preferences for speed, sustainability, and quality.

Local special circumstances: In China, the Quick Commerce Market for grocery delivery is influenced by rapid urbanization and a preference for mobile payments, leading to widespread adoption of instant delivery services. In the United States, a diverse consumer base and varying state regulations impact delivery logistics, with a strong emphasis on contactless services post-pandemic. Japan's market is shaped by cultural norms valuing precision and quality, resulting in high consumer expectations for service efficiency. In India, a burgeoning young population drives demand for affordable and quick grocery options, while local regulations and infrastructure challenges necessitate innovative delivery solutions.

Underlying macroeconomic factors: The Quick Commerce Market for grocery delivery is significantly influenced by macroeconomic factors such as urbanization trends, technology adoption, and consumer spending habits. In nations with robust economic growth, increased disposable income fuels demand for convenience-driven services, leading to higher adoption rates of instant delivery options. Conversely, economic downturns may restrict consumer spending, impacting market performance. Additionally, government policies promoting e-commerce and infrastructure development enhance logistics efficiency, while rising fuel prices and inflation can challenge operational costs. These dynamics collectively shape the competitive landscape of the grocery delivery sector within the broader online food delivery market.

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.