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π Overview This dataset provides detailed insights into e-commerce grocery delivery services, focusing on Blinkit, Swiggy Instamart, and JioMart. It includes customer feedback, delivery times, service ratings, and various factors affecting delivery performance. This dataset is useful for analyzing customer satisfaction, identifying service trends, and optimizing delivery logistics.
π Key Features π Order ID β Unique identifier for each order. π Platform β The e-commerce platform (Blinkit, Swiggy Instamart, JioMart). π Order Date & Time β Timestamp of when the order was placed. π Delivery Time (Minutes) β Time taken for order delivery. π Customer Feedback β Text-based feedback provided by the customer. π Service Rating (1-5) β Customer rating for delivery service. π Delivery Distance (km) β Distance covered by the delivery agent. π Payment Method β Mode of payment (Cash, UPI, Card, Wallet). π Order Value (INR) β Total value of the order in Indian Rupees. π Discount Applied (INR) β Discount provided on the order. π Delivery Charges (INR) β Charges applied for delivery. π Order Status β (Delivered, Cancelled, Delayed, etc.).
π Potential Use Cases β Customer Sentiment Analysis β Understand feedback trends and satisfaction levels. β Delivery Time Optimization β Identify patterns affecting delivery speed. β Platform Comparison β Compare performance across Blinkit, Swiggy Instamart, and JioMart. β Sales and Revenue Insights β Analyze trends in order value, discounts, and payment methods. β Predictive Analysis β Forecast delivery delays and customer preferences.
π οΈ Suggested Visualizations π― Histogram of delivery times to analyze service efficiency. π― Bar Chart showing average delivery time per platform. π― Heatmap to identify peak ordering times. π―Word Cloud for customer feedback insights.
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The global quick commerce market size was USD 150 Billion in 2024 and is likely to reach USD 750 Billion by 2033, expanding at a CAGR of
19.60% during
2025-2033. The market is propelled by the growing trend of online shopping.
Increasing consumer demand for speed and convenience is expected to propel the market during the forecast period. The latest trends in the market include the integration of advanced technologies such as AI and machine learning to optimize delivery routes and enhance operational efficiency. This shift towards technology-driven solutions has made quick commerce efficient and reliable, meeting the growing consumer expectations for instant gratification.
Growing penetration of smartphones and high-speed internet has revolutionized the quick commerce sector. These technological advancements have made it easier for consumers to place orders anytime, anywhere, driving the demand for quick commerce services. Moreover, the use of data analytics in quick commerce provides valuable insights into consumer behavior and preferences, enabling businesses to tailor their offerings and improve customer satisfaction.
Rising innovation in logistics and supply chain management has opened up new opportunities for quick commerce. The advent of autonomous delivery vehicles and drones has the potential to significantly reduce delivery times and costs. Furthermore, the use of smart lockers for secure and convenient pick-up of orders is gaining popularity. These innovations not only enhance the efficiency of quick co
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The Indian quick-commerce (Q-commerce) market, encompassing grocery, personal care, fresh food, and other product deliveries within minutes or hours, is experiencing explosive growth. With a 2025 market size of $3.34 billion and a Compound Annual Growth Rate (CAGR) exceeding 4.5%, the sector is projected to reach significant scale by 2033. Key drivers include rising smartphone penetration, increasing urbanization, evolving consumer preferences for convenience, and the aggressive expansion of numerous players. The segment breakdown reveals a strong presence of both pure-play Q-commerce companies and those integrating quick delivery into existing businesses. Competition is fierce, with prominent players like Swiggy Instamart, Blinkit, Zepto, BigBasket, and others vying for market share through aggressive marketing, technological advancements in logistics, and expansion into new geographic areas. While challenges exist, such as maintaining profitability amidst high operational costs and intense competition, the long-term outlook remains positive given India's vast and rapidly growing consumer base. The market's growth trajectory is fueled by several trends, including the increasing adoption of hyperlocal delivery models, a shift towards cashless transactions, and the incorporation of advanced data analytics for optimized delivery routes and inventory management. However, significant restraints include infrastructure limitations in certain areas, the need for efficient last-mile delivery solutions, and the challenges of managing perishable goods effectively. The ongoing battle for customer acquisition, focusing on competitive pricing and promotions, will also play a defining role in shaping the market landscape. Segmentation by product type (groceries, personal care, etc.) and company type (pure-play vs. non-pure-play) provides valuable insights into market dynamics and helps to identify specific growth opportunities within the sector. Further analysis focusing on consumer demographics, purchasing behavior, and regional variations is crucial for understanding the nuances of this dynamic market. This report provides a detailed analysis of the burgeoning India quick-commerce (Q-commerce) industry, covering the period 2019-2033. We delve into market size, key players, growth drivers, and challenges, offering valuable insights for investors, businesses, and stakeholders interested in this rapidly evolving sector. The report leverages extensive data analysis and incorporates recent industry developments to provide a comprehensive overview of the Indian Q-commerce landscape. Keywords: India Q-commerce market size, Indian quick commerce delivery, online grocery delivery India, Instamart, Blinkit, Zepto, Swiggy Instamart, Q-commerce market analysis, Indian e-grocery market. Recent developments include: February 2023: Zomato launched a quick commerce delivery service known as Zomato Instant. The aim is to provide customers with home-style cooked food at affordable prices., December 2023: Walmart acquired Flipkart, entered into a quick commerce delivery business, and launched its services in 20 cities in India.. Key drivers for this market are: Faster Buying Process Drives the Market, Faster Response to Buyer/Market Demands Drives the Market. Potential restraints include: Faster Buying Process Drives the Market, Faster Response to Buyer/Market Demands Drives the Market. Notable trends are: Rising Entry of Startups into the Market.
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global quick commerce market was valued $103.70 billion in 2024 and is expected to $997.14 billion by 2034, a CAGR of 25.40% between 2025 and 2034.
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Global Quick Commerce Market size & share estimated to attain USD 11.67 billion by 2032, to grow at a CAGR of 12.6% during the forecast period.
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The global Quick Commerce Platform Market size reached USD 38.2 billion in 2024, according to our latest research, with a robust year-on-year growth driven by evolving consumer expectations and digital transformation across retail sectors. The market is expected to advance at a remarkable CAGR of 15.7% from 2025 to 2033, positioning the industry to achieve a projected value of USD 128.3 billion by 2033. The key growth factor fueling this expansion is the increasing demand for ultra-fast delivery services, particularly for groceries, food, and everyday essentials, as urbanization and digital penetration continue to reshape consumer behavior worldwide.
One of the primary growth drivers of the Quick Commerce Platform Market is the rapid proliferation of smartphones and internet connectivity, which has significantly altered the way consumers shop. The ubiquity of mobile devices, coupled with the convenience of app-based ordering, has made it possible for consumers to expect delivery within minutes rather than days. This shift in consumer expectation has forced retailers and service providers to innovate their logistics and inventory management systems, optimizing last-mile delivery networks to ensure speed and reliability. Furthermore, the integration of advanced analytics and AI-powered demand forecasting tools has enabled platforms to predict purchasing patterns, manage inventory more efficiently, and offer tailored recommendations, thereby increasing customer satisfaction and retention rates.
Another significant factor contributing to the growth of the Quick Commerce Platform Market is the expansion of product categories beyond traditional groceries. While quick commerce initially gained traction through the promise of delivering fresh groceries within an hour, platforms have since diversified into food & beverages, personal care, household products, and even electronics. This diversification has not only increased the average order value but also broadened the target customer base, attracting both individual consumers and businesses seeking instant procurement solutions. Strategic partnerships with local retailers, restaurants, and brands have further strengthened the ecosystem, enabling platforms to offer a wider assortment while leveraging localized inventory for faster fulfillment.
The surge in venture capital funding and investor interest has also played a pivotal role in accelerating the growth of the Quick Commerce Platform Market. Startups and established players alike have secured substantial investments to scale their operations, invest in technology infrastructure, and expand into new geographies. This influx of capital has intensified competition, prompting platforms to innovate on delivery modelsβsuch as micro-fulfillment centers and dark storesβand experiment with hybrid business models that combine marketplace dynamics with inventory-led approaches. Additionally, the COVID-19 pandemic acted as a catalyst, amplifying consumer reliance on contactless shopping and home delivery, which has become an enduring trend even as restrictions have eased.
From a regional perspective, Asia Pacific leads the Quick Commerce Platform Market in terms of market share, driven by high urban density, a burgeoning middle class, and a tech-savvy population. North America and Europe follow closely, with mature digital ecosystems and strong consumer demand for convenience. In contrast, Latin America and the Middle East & Africa are emerging as promising markets, buoyed by increasing smartphone adoption and investments in digital infrastructure. Each region presents unique challenges and opportunities, ranging from regulatory frameworks and payment preferences to logistical complexities and consumer trust, shaping the competitive landscape and growth trajectory of quick commerce platforms globally.
The Business Model segment of the Quick Commerce Platform Market is characterized by three primary
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The global quick commerce market, valued at USD 94.6 billion in 2024, is projected to reach USD 123.82 billion in 2025 and USD 1033 billion by 2035, representing a CAGR of 23.63% during the forecast period
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China Quick Commerce Market Report is Segmented by Product Category (Grocery and Staples, Fresh Produce and Dairy, Snacks and Beverages, Personal Care and OTC Pharma, and More), Delivery Time Promise (Less Than 10 Minutes, and More), City Tier (Tier I Metros, and More), and Province (East China, South China, North China, West and Central China). The Market Forecasts are Provided in Terms of Value (USD).
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Explore the Beauty Products Quick Commerce Market, including size, growth, trends, and future outlook. Get insights into market demand, share, and industry analysis.
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Quick Commerce Market in India Segments Into by Product Category (Grocery and Staples, Fresh Produce and Dairy, and More), Delivery Time Promise (β€ 10 Minutes, 11β30 Minutes, 31β60 Minutes), by City Tier (Tier I Metros, Tier II Cities, and Tier III & Below), and by Geography (North India, South India, and More). The Market Forecasts are Provided in Terms of Value (USD).
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This dataset contains reviews for popular quick commerce platforms like BlinkIt, Zepto and JioMart. What makes this dataset unique is we have all three platforms together along with rating points.
My analysis is that people are really fed up with the service of these Quick Commerce Apps. Identifying these pain points is crucial for improving the experience of users and to make a sustainable business edge.
Possible Applications are: 1. Sentiment Analysis 2. Platform vs Platform Analysis 3. RLHF based tuning
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Indonesian Quick Commerce research using Bibliometrics with Rstudio Application
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The Quick Commerce Market size was valued at USD 79.70 billion in 2023 and is projected to reach USD 324.31 billion by 2032, exhibiting a CAGR of 22.2 % during the forecasts period.
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Saudi Arabia Quick Commerce Market size is valued at around USD 293 million in 2025 and is projected to reach USD 1029 million by 2032 at 19.66 CAGR during 2026-32.
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Argentina's quick commerce market is projected to grow at a CAGR of over 23% from 2024 to 2029, critical for addressing urban delivery demands.
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TwitterUSD 6.44 Billion in 2024; projected USD 15.05 Billion by 2033; CAGR 9.83%.
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Explore the India quick commerce market with our in-depth analysis. Discover key trends, top players like Blinkit and Zepto, and future growth projections for 2026 and beyond.
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Quick Delivery Commerce Market size was valued at USD 92.88 billion in 2021 and is poised to grow from USD 106.89 billion in 2022 to USD 291.17 billion by 2030, growing at a CAGR of 13.10% in the forecast period (2023-2030).
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The report covers India Quick Commerce Market Analysis, Quick Commerce Market Revenue, Quick Commerce Market Sales, Market Top Companies, Market Trends.
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UAE Quick Commerce Market size is valued at around USD 54.94 million in 2025 and is projected to reach USD 170.29 million by 2032 at 17.54% CAGR during 2026-32.
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π Overview This dataset provides detailed insights into e-commerce grocery delivery services, focusing on Blinkit, Swiggy Instamart, and JioMart. It includes customer feedback, delivery times, service ratings, and various factors affecting delivery performance. This dataset is useful for analyzing customer satisfaction, identifying service trends, and optimizing delivery logistics.
π Key Features π Order ID β Unique identifier for each order. π Platform β The e-commerce platform (Blinkit, Swiggy Instamart, JioMart). π Order Date & Time β Timestamp of when the order was placed. π Delivery Time (Minutes) β Time taken for order delivery. π Customer Feedback β Text-based feedback provided by the customer. π Service Rating (1-5) β Customer rating for delivery service. π Delivery Distance (km) β Distance covered by the delivery agent. π Payment Method β Mode of payment (Cash, UPI, Card, Wallet). π Order Value (INR) β Total value of the order in Indian Rupees. π Discount Applied (INR) β Discount provided on the order. π Delivery Charges (INR) β Charges applied for delivery. π Order Status β (Delivered, Cancelled, Delayed, etc.).
π Potential Use Cases β Customer Sentiment Analysis β Understand feedback trends and satisfaction levels. β Delivery Time Optimization β Identify patterns affecting delivery speed. β Platform Comparison β Compare performance across Blinkit, Swiggy Instamart, and JioMart. β Sales and Revenue Insights β Analyze trends in order value, discounts, and payment methods. β Predictive Analysis β Forecast delivery delays and customer preferences.
π οΈ Suggested Visualizations π― Histogram of delivery times to analyze service efficiency. π― Bar Chart showing average delivery time per platform. π― Heatmap to identify peak ordering times. π―Word Cloud for customer feedback insights.