Extract Top 10 Largest Grocery Chains in USA 2025 - Ranking by Store Count & Market Share
                     Extract Top 10 Largest Grocery Chains in USA 2025 - Ranking by Store Count 
& Market Share
Introduction
The grocery retail landscape in the United States is rapidly evolving, driven by 
changing consumer behaviors, digital adoption, and the rise of e-commerce 
and quick commerce platforms. Retailers are constantly competing to expand 
their footprint, optimize operations, and understand market dynamics. For 
businesses, analysts, and investors, having access to accurate and timely data 
about leading grocery chains is critical to making informed decisions.
With Product Data Scrape, organizations can Extract Top 10 Largest Grocery 
Chains in USA 2025 efficiently, providing detailed insights on store count, 
market share, sales data, and product offerings. Scraping tools allow 
businesses to Extract Market Share of Top US Supermarkets 2025, uncovering 
trends and performance benchmarks for competitive strategy. Additionally, 
web scraping facilitates the collection of granular information, such as product 
pricing, inventory levels, and promotional campaigns, across major 
supermarket chains.
From Scrape Largest Grocery chain dataset USA to building a 
Grocery Store Product Dataset USA , modern scraping solutions ensure 
businesses stay ahead in an increasingly competitive retail environment. This 
blog explores six practical applications of data scraping for understanding and 
leveraging the US grocery market, supported by 2020–2025 data trends, tables, 
and actionable insights.
Extract Market Share of Top US Supermarkets 2025
Market share is the ultimate indicator of dominance in the U.S. grocery retail 
space. In 2025, the top 10 largest grocery chains control more than 70% of the 
total U.S. grocery market, projected at $864 billion. Understanding the 
distribution of this market is essential for investors, retailers, and analysts to 
identify opportunities and risks.
2020 
Grocery Market 
Chain Share 2021 2022 2023 2024 2025*
(%)
Walmart 21 21.3 21.7 22 22.5 22.8
Kroger 10 10.2 10.5 10.7 11 11.2
Costco 6 6.2 6.5 6.7 7 7.3
Albertsons 4 4.1 4.2 4.3 4.4 4.5
Ahold 
Delhaize 3 3.1 3.2 3.3 3.4 3.5
Target 2 2.1 2.2 2.3 2.4 2.5
Publix 2 2.1 2.2 2.3 2.4 2.5
H-E-B 2 2.1 2.2 2.3 2.4 2.5
Meijer 1.5 1.5 1.6 1.6 1.7 1.8
Whole 
1 1.1 1.2 1.3 1.3 1.4
Foods
Over five years, Walmart’s steady growth reflects its omni-channel strategy, 
combining physical stores with online grocery and delivery. Kroger’s rise is 
fueled by private-label expansion and digital transformation. Costco 
leverages its membership model to increase basket size, while Whole Foods 
captures the niche organic segment. By leveraging Extract US Grocery 
Chain Market Insights, businesses can track annual shifts, regional 
variations, and emerging competitors.
Scrape Largest Grocery Chain Dataset USA
Collecting comprehensive datasets from top grocery chains is essential for 
strategic analysis, competitive benchmarking, and supply chain optimization. 
Using Scrape Largest Grocery Chain Dataset USA, businesses can obtain 
structured information on store count, regional distribution, revenue, product 
categories, and pricing.
Grocery 2020 
Chain Stores 2021 2022 2023 2024 2025*
Walmart 4,600 4,625 4,650 4,680 4,700 4,730
Kroger 2,750 2,760 2,780 2,800 2,820 2,840
Costco 550 575 600 625 650 675
Albertsons 2,200 2,210 2,220 2,230 2,240 2,250
Ahold 2,000 2,020 2,040 2,060 2,080 2,100
Delhaize
Target 1,900 1,920 1,940 1,960 1,980 2,000
Publix 1,250 1,270 1,290 1,310 1,330 1,350
H-E-B 400 420 440 460 480 500
Meijer 250 255 260 265 270 275
Whole 500 510 520 530 540 550
Foods
Extract Store Sales Data of US Grocery Chains
Understanding store-level sales performance is critical for evaluating 
profitability, operational efficiency, and market positioning. By using Extract 
Store Sales Data of US Grocery Chains, businesses can track revenue trends, 
category performance, and identify underperforming locations.
2020 
Grocery 
Sales 2021 2022 2023 2024 2025*
Chain
($B)
Walmart 370 380 390 400 410 420
Kroger 132 135 138 142 145 150
Costco 160 165 170 175 180 185
Albertsons 62 64 66 68 70 72
Ahold 
60 62 64 66 68 70
Delhaize
Target 40 42 44 46 48 50
Publix 38 39 40 41 42 43
H-E-B 35 36 37 38 39 40
Meijer 25 26 27 28 29 30
Whole 20 21 22 23 24 25
Foods
Data indicates that Walmart’s grocery sales grow steadily by 2–3% 
annually, attributed to store expansion and e-commerce integration. 
Kroger and Costco demonstrate higher growth percentages (3–4%) due to 
private-label success and membership models. Smaller chains like Publix 
and H-E-B maintain steady growth, highlighting their loyal regional 
customer base. Scraping sales data allows analysts to segment 
performance by region, product category, and store size. For example, 
Kroger’s midwestern stores see 10–15% higher sales in private-label 
categories than national averages. Similarly, Costco’s bulk packages 
contribute disproportionately to revenue during holiday seasons, with 
spikes of 20% in November–December. Moreover, combining store sales 
data with competitor pricing scraped from Scrape Data from Top 
Supermarkets in USA enables predictive modeling. Retailers can forecast 
demand shifts, optimize inventory, and adjust promotional strategies in 
near real-time.
Actionable Insight: Chains can prioritize stocking high-margin products in 
high-performing stores while adjusting inventory in underperforming 
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A comprehensive Grocery Store Product Dataset USA is essential for retailers, 
analysts, and e-commerce platforms to understand product assortments, 
pricing strategies, and category trends. By scraping product data across the top 
10 grocery chains, businesses can monitor SKU availability, pricing fluctuations, 
promotional campaigns, and customer preferences.
Grocery 2020 
2021 2022 2023 2024 2025*
Chain SKUs
Walmart 110,000 112k 115k 118k 120k 122k
Kroger 85,000 87k 90k 92k 94k 96k
Costco 25,000 26k 27k 28k 29k 30k
Albertsons 50,000 51k 52k 53k 54k 55k
Ahold 
48,000 49k 50k 51k 52k 53k
Delhaize
Target 38,000 39k 40k 41k 42k 43k
Publix 32,000 33k 34k 35k 36k 37k
H-E-B 28,000 29k 30k 31k 32k 33k
Meijer 20,000 21k 22k 23k 24k 25k
Whole 
Foods 18,000 19k 20k 21k 22k 23k
Analysis shows Walmart and Kroger lead in product diversity, reflecting large-
scale operations and multi-category offerings. Whole Foods maintains a smaller 
SKU count, emphasizing organic and specialty items. Bulk-focused chains like 
Costco have fewer SKUs but high sales velocity per item. Scraping product 
datasets provides real-time visibility into pricing and promotions, crucial during 
peak seasons.
For instance, Walmart’s online catalog reveals 5–10% price fluctuations weekly 
on high-demand items, while Kroger’s private-label products maintain a 
consistent 15–20% discount compared to national brands. By integrating 
Extract Grocery & Gourmet Food Data , businesses can analyze category 
performance over time, identify gaps in product assortments, and optimize 
inventory. Historical data from 2020–2025 shows that specialty organic 
products have increased 25% in SKU count, highlighting the growing consumer 
preference for health-oriented groceries.
Actionable Insight: Chains can align marketing campaigns with trending 
product categories identified via scraping, ensuring higher sales and better 
Qcuustiocmke rC eongmagmemeerncte.  Grocery & FMCG Data Scraping
The rise of quick commerce has transformed grocery retail, emphasizing speed, 
convenience, and digital-first strategies. Using 
Quick Commerce Grocery & FMCG Data Scraping , retailers can monitor online 
product catalogs, real-time pricing, flash promotions, and inventory across 
platforms like Walmart Grocery, Instacart, and Amazon Fresh.
Chain/Pl 2020 
2021 2022 2023 2024 2025*
atform SKUs
Walmart 80,000 85k 90k 95k 100k 105k
Online
Kroger 
60,000 63k 66k 70k 73k 75k
Digital
Target 
35,000 37k 39k 41k 43k 45k
Online
Costco 
20,000 21k 22k 23k 24k 25k
Online
Amazon 50,000 52k 54k 56k 58k 60k
Fresh
Data scraping reveals seasonal trends, including spikes in FMCG sales 
during holidays, summer BBQ season, and back-to-school periods. 
Walmart online reports 15–20% sales spikes for snack foods and 
beverages in July–August, while Amazon Fresh sees 25% growth in organic 
staples during winter holidays.
Scraping quick commerce data provides retailers with insights into 
competitor pricing, discount strategies, and product availability. This 
enables dynamic pricing adjustments and inventory planning in near real-
time, reducing out-of-stock scenarios and lost sales. Additionally, historical 
data (2020–2025) indicates a 30% increase in online SKU coverage across 
top chains, reflecting the digital expansion trend.
Actionable Insight: Retailers can preemptively stock high-demand FMCG 
items based on competitor data, ensuring faster fulfillment and higher 
conversion rates in digital channels.
Supermarket Data Scraping Services
Supermarket Data Scraping Services like Instant Data Scraper provide 
businesses with structured, actionable intelligence across top U.S. grocery 
chains. These services extract pricing, product availability, promotions, 
inventory levels, and regional store performance in real-time.
Service Type Scope Chains Covered Frequency
Product Data SKU, category, Walmart, Kroger, Daily
Scraping pricing Target, Costco
Quick Commerce FMCG, digital SKUs, Walmart, Amazon 
Scraping discounts Fresh, Instacart Real-time
Store Performance Sales, revenue, Top 10 grocery Weekly
Data inventory chains
Market Insights Market share, trends, 
Nationwide Monthly
Analytics growth
Scraping services allow analysts to combine Grocery Store Product Dataset USA 
with sales data, competitor promotions, and seasonal trends, enabling 
advanced analytics and predictive modeling. Historical trends (2020–2025) 
show Walmart’s online grocery catalog grew from 80,000 SKUs to 105,000, 
while Kroger increased from 60,000 to 75,000, reflecting digital expansion 
strategies.
By using scraping services, businesses can benchmark pricing strategies, 
monitor competitor promotions, and identify market gaps. For example, 
tracking Whole Foods’ organic product launches enables traditional 
supermarkets to introduce competitive alternatives and promotions.
Actionable Insight: Retailers leveraging scraping services can optimize 
inventory, forecast seasonal demand, and adjust pricing in real-time, leading to 
improved operational efficiency and market competitiveness.
Why Choose Product Data Scrape?
Product Data Scrape offers reliable, accurate, and scalable solutions to extract 
competitive intelligence from grocery chains. From Scrape Data from Top 
Supermarkets in USA to building Grocery & Gourmet Food Data datasets, our 
tools automate collection, cleaning, and analysis. Companies gain access to:
• Real-time pricing and product insights
• Historical trends from 2020–2025
• Store-level and SKU-level granularity
• Quick commerce and FMCG analytics
With structured datasets, businesses can forecast sales, track competitors, 
optimize inventory, and design promotional strategies. By leveraging 
Supermarket Data Scraping Services, companies save time, reduce errors, and 
unlock actionable insights that drive revenue and market share growth.
Conclusion
The US grocery sector is intensely competitive, and data-driven decisions are 
crucial for success. By using Product Data Scrape to Extract Top 10 Largest 
Grocery Chains in USA 2025, businesses gain a comprehensive view of store 
counts, market share, sales, and product assortments. From Extract Store Sales 
Data of US Grocery Chains to Quick Commerce Grocery & FMCG Data Scraping, 
every dataset empowers smarter strategies, better pricing decisions, and 
improved operational efficiency.
Unlock actionable intelligence today—partner with Product Data Scrape to 
extract, analyze, and leverage the most accurate and up-to-date grocery retail 
data. Transform raw data into insights, outperform competitors, and make data-
backed decisions for 2025 and beyond.
Boost your retail strategy with Product Data Scrape —extract, analyze, and act 
on top US grocery chain data today!