In 2024, Walmart registered global net sales of about *** billion U.S. dollars, making it the leading U.S. retailer in terms of worldwide retail sales. Amazon was the closest challenger to Walmart's figures, with retail sales amounting to approximately *** billion U.S. dollars that year.

In 2023, ** percent of Walmart's retail sales came from U.S. operations. In comparison, all of The Kroger Company's retail sales were generated within the United States. Walmart was the leading retailer based on U.S. retail sales.

By 2027, the e-commerce retailer Amazon is forecast to be the leading retailer worldwide, just barely outdoing the Alibaba Group in terms of sales. Specifically, projections for 2027 show that the total chain retail sales of Amazon are going to reach a value of more than **** trillion U.S. dollars. Walmart would rank fifth, generating an estimated *** billion U.S. dollars in chain retail sales that year.

Retail Sales in the United States decreased 0.90 percent in May of 2025 over the previous month. This dataset provides - U.S. December Retail Sales Increased More Than Forecast - actual values, historical data, forecast, chart, statistics, economic calendar and news.

This ranking depicts the leading 100 American retailers in 2023, based on U.S. retail sales. Once again, Walmart was the leading American retailer. That year, the company accounted for retail sales of about *** billion U.S. dollars. Walmart was founded by Samuel Moore Walton (1918-1992) in 1962. Walmart's headquarters is situated in Bentonville, Arkansas and operates worldwide under different names (such as Walmex in Mexico and Best Price in India). Leading retailers in the United States Although Walmart is the unequivocal front-running retailer in terms of U.S. retail sales, Amazon.com inches closer each and every year. The retail industry is in the midst of a customer revolution. The collision of the virtual and physical worlds is fundamentally changing consumers' purchasing behaviors. Consumers are seeking an integrated shopping experience across all channels and expect retailers to deliver this experience. The key drivers of this customer revolution are the rapid adoption of mobile devices, digital media and tablets equipped with shopping apps. In fact, the share of smartphone users in the United States was around ** percent. In other words, nearly the entire country's population now uses smartphones. As such, the retail paradigm has shifted from a physical connection point with customers to a multi-pronged approach that crosses both physical and digital channels. The traditional brick-and-mortar retail store is no longer the dominant medium for purchasing all types of goods. Instead, it serves as one of many potential connection points between customers and a retailer's brand. Today's consumer is increasingly connected to both the physical and digital space and able to interact with retailers through multiple channels simultaneously. To stay competitive in this ever-evolving landscape, it is imperative for retailers to deliver a seamless customer experience across all channels and provide the right services and products at the right time.

Korea Retail Sales: Major Department Stores: Children & Sporting Goods data was reported at 2.400 % in Oct 2018. This records a decrease from the previous number of 5.700 % for Sep 2018. Korea Retail Sales: Major Department Stores: Children & Sporting Goods data is updated monthly, averaging 3.200 % from Feb 2003 (Median) to Oct 2018, with 189 observations. The data reached an all-time high of 25.400 % in Oct 2010 and a record low of -14.600 % in Jun 2015. Korea Retail Sales: Major Department Stores: Children & Sporting Goods data remains active status in CEIC and is reported by Ministry of Trade, Industry and Energy. The data is categorized under Global Database’s South Korea – Table KR.H019: Retail Sales: YoY%.

Korea Retail Sales: Major Department Stores: Purchase Amount per Customer data was reported at 5.800 % in Sep 2018. This records an increase from the previous number of 1.600 % for Aug 2018. Korea Retail Sales: Major Department Stores: Purchase Amount per Customer data is updated monthly, averaging 0.900 % from Feb 2003 (Median) to Sep 2018, with 186 observations. The data reached an all-time high of 15.300 % in Jan 2006 and a record low of -8.900 % in Aug 2015. Korea Retail Sales: Major Department Stores: Purchase Amount per Customer data remains active status in CEIC and is reported by Ministry of Trade, Industry and Energy. The data is categorized under Global Database’s Korea – Table KR.H019: Retail Sales: YoY%.

The retail industry encompasses the journey of a good or service. This typically starts with the manufacture of a product and ends with said product being purchased by a consumer from a retailer. As a result of globalization and various trade agreements between markets and countries, many retailers are capable of doing business on a global scale. Based on retail sales generated in the financial year 2021, Walmart was by far the world's leading retailer with retail revenues reaching over 572 billion U.S. dollars.

U.S. companies dominate global retail
Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of American retailers doing business around the world. The domestic retail market in the United States is also very competitive, with many companies recording substantial retail sales. The success of U.S. retailers can also be seen through their performance in online retail. Amazon is a prime example of this, with the company’s sales revenue flourishing over the previous years in line with the rise of e-Commerce worldwide.

This dataset contains a list of sales and movement data by item and department appended monthly. Update Frequency : Monthly

As of March 2023, retail sales grew by almost 0.5 percent in Thailand. In 2022, the retail sales in the country had shown the highest growth in August, reaching around 22.6 percent growth.

Food and beverage retail in Thailand The food and drinks market in Thailand is essential and diverse. It contributes gravely to the economy of the country. In 2021, approximately 96 million tons of soy sauce was sold in Thailand, followed by fish sauce, and frozen and chilled meat. As the urban lifestyle became widely adopted by the Thai people, their consumption habits shifted. Leaning towards eating fast and convenient food, packaged foods come in handy. The sales value of packaged food and drinks in Thailand was the highest for dairy products in 2022, followed by rice, pasta, and noodles.

Major retailers in Thailand While the retailer market is shared by several major retailers such as CP All Plc, Central Group, and the Mall Group. In Thailand, CP All Plc is the largest retailer based on sales. In 2022, CP All Plc generated the total sales revenue of around 224.4 billion Thai baht. As an affiliated corporation of CP All Plc, 7-Eleven convenient stores are also one of the most successful modern retailers in Thailand with nearly 14 thousand outlets nationwide.

Japan Large Scale Retailers Sales: Communication Appliances data was reported at 26.665 JPY bn in Jan 2020. This records an increase from the previous number of 26.089 JPY bn for Dec 2019. Japan Large Scale Retailers Sales: Communication Appliances data is updated monthly, averaging 26.726 JPY bn from May 2014 (Median) to Jan 2020, with 69 observations. The data reached an all-time high of 44.744 JPY bn in Mar 2019 and a record low of 21.065 JPY bn in Feb 2016. Japan Large Scale Retailers Sales: Communication Appliances data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.H009: Large Scale Specialty Retail Stores: Sales.

Korea Large Scale Stores Sales: Department Stores: Sejong data was reported at 0.000 KRW bn in May 2018. This stayed constant from the previous number of 0.000 KRW bn for Apr 2018. Korea Large Scale Stores Sales: Department Stores: Sejong data is updated monthly, averaging 0.000 KRW bn from Feb 2015 (Median) to May 2018, with 40 observations. Korea Large Scale Stores Sales: Department Stores: Sejong data remains active status in CEIC and is reported by Statistics Korea. The data is categorized under Global Database’s Korea – Table KR.H007: Retail Sales: 2015 Census: Large Scale Retail Stores.

Korea Retail Sales: Major Department Stores: Number of Customers Purchase Good data was reported at -4.300 % in Oct 2018. This records a decrease from the previous number of -1.000 % for Sep 2018. Korea Retail Sales: Major Department Stores: Number of Customers Purchase Good data is updated monthly, averaging 0.800 % from Feb 2003 (Median) to Oct 2018, with 187 observations. The data reached an all-time high of 14.200 % in Jun 2016 and a record low of -9.100 % in Jun 2015. Korea Retail Sales: Major Department Stores: Number of Customers Purchase Good data remains active status in CEIC and is reported by Ministry of Trade, Industry and Energy. The data is categorized under Global Database’s South Korea – Table KR.H019: Retail Sales: YoY%.

The dataset is about a retail sales dataset containing information about store sales for various products over time.

The specific variables include: Store: Unique identifier for the store location Date: Calendar date of the sales data Product: Name of the product being sold Weekly Sales: Total number of units sold for the product in a week Inventory Level: Number of units of the product currently in stock at the store Temperature: Average temperature for the week at the store location Past Promotion of Product (in lac): Total value (in lakhs) of any past promotions for the product during the week (1 lac = 100,000) Demand Forecast: Predicted number of units to be sold for the product in the next week (provided for baseline model comparison)

This dataset can be used for various analytical purposes related to retail sales and inventory management, including:

Demand forecasting: By analyzing historical sales data, temperature, past promotions, and other relevant factors, you can build models to predict future demand for products. This information can be used to optimize inventory levels and prevent stock outs or overstocking. Promotion analysis: You can compare sales data during promotional periods with non-promotional periods to assess the effectiveness of different promotions and identify products that respond well to promotions. Product analysis: By analyzing sales data across different stores and time periods, you can identify which products are most popular and in which locations. This information can be used to inform product placement, marketing strategies, and assortment planning. Store performance analysis: You can compare sales performance across different stores to identify top-performing stores and understand factors contributing to their success. This information can be used to identify areas for improvement in underperforming stores.

By utilizing this dataset for these analytical purposes, retail organizations can gain valuable insights into their sales patterns, customer behavior, and inventory management practices. This information can be used to make data-driven decisions that improve sales performance, profitability, and customer satisfaction.

Japan Large Scale Retailers Sales: Total data was reported at 385.119 JPY bn in Jan 2020. This records a decrease from the previous number of 447.821 JPY bn for Dec 2019. Japan Large Scale Retailers Sales: Total data is updated monthly, averaging 340.833 JPY bn from May 2014 (Median) to Jan 2020, with 69 observations. The data reached an all-time high of 515.391 JPY bn in Sep 2019 and a record low of 265.914 JPY bn in Oct 2019. Japan Large Scale Retailers Sales: Total data remains active status in CEIC and is reported by Ministry of Economy, Trade and Industry. The data is categorized under Global Database’s Japan – Table JP.H009: Large Scale Specialty Retail Stores: Sales.

Small specialty retail stores are influenced by broad macroeconomic variables rather than product-specific trends. Still, individual segments do respond to specific shifts in consumer preferences. In recent years, rising per capita disposable income has sustained demand throughout the retail sector. A recovery from the pandemic boosted consumer spending and encouraged consumers to return to brick-and-mortar stores. Specialty retailers were relatively unaffected by pandemic declines as high-income consumers and tobacco users, two significant markets for the industry, continued to spend. Competition from online and big-box retailers has risen, putting downward pressure on profit. More stores are expanding their online platforms to boost consumer reach and provide additional revenue streams. Rising operational costs have contributed to a slight dip in profit. Revenue for small specialty retailers is expected to swell at a CAGR of 4.0% to $68.4 billion through the end of 2025, including a hike of 2.0% in 2025 alone. Despite intensifying competition from discount department stores and online retailers, specialty retail stores have relied on serving a particular niche to remain successful. Big-box stores offer a one-stop shopping experience with lower prices for similar products. External competition has driven underperforming retailers to exit the industry, leaving nonemployers and small retail stores with low barriers to entry. Still, revenue gains have prompted the emergence of many new specialty retailers seeking to capitalize on the trend of shopping locally and broader sustainability trends. Small retailers have maintained a strong customer base by offering a unique in-store experience and high-quality products. Moving forward, small specialty retailers will continue expanding, albeit slower than in the previous five-year period. A gain in consumer spending and consumer confidence compounded by growing environmental awareness will support specialty retail store sales. Ongoing competition from large-scale retailers and declining smoking rates will mitigate specialty retailers' expansion. More consumers view consumer products, particularly luxury and nostalgic items, as sound investment options. Stores can benefit from this trend by stocking high-end goods that appeal to these consumers, focusing on popular brands. Revenue is expected to expand at a CAGR of 1.4% to $73.3 billion through the end of 2030.

Korea Retail Sales: Major Department Stores: Food data was reported at -5.200 % in Oct 2018. This records a decrease from the previous number of 6.700 % for Sep 2018. Korea Retail Sales: Major Department Stores: Food data is updated monthly, averaging 3.300 % from Feb 2003 (Median) to Oct 2018, with 189 observations. The data reached an all-time high of 89.800 % in Feb 2007 and a record low of -50.700 % in Feb 2003. Korea Retail Sales: Major Department Stores: Food data remains active status in CEIC and is reported by Ministry of Trade, Industry and Energy. The data is categorized under Global Database’s South Korea – Table KR.H019: Retail Sales: YoY%.

>Dataset Overview: Grocery Store Sales Prediction

This dataset contains historical sales data from a large grocery store located in Islamabad, Pakistan. With an average daily footfall of around 1,500 customers, the store serves a broad consumer base, making it ideal for analyzing and predicting sales trends.

In this project, we focus specifically on predicting the sale of rice by leveraging historical data from January 22, 2024, to October 14, 2024. Using this dataset, we trained a Random Forest Regressor model to forecast rice sales based on past patterns.

Columns Details

The dataset includes the following columns:

1. Date: The date on which the sale occurred.
2. Store: A unique store code to identify the location.
3. Item: The code representing the specific item (rice) sold.
4. Sale: The quantity of rice sold on each date.

The goal of this project is to predict future sales of rice at this store using historical data. By accurately forecasting sales, the store can optimize inventory and improve stock management for this essential product.

Department stores have continued their long-term dip, with revenue falling amid shifting market dynamics. The industry's slump has been fueled by a 7.2% revenue drop in 2021 alone, caused by relatively low consumer confidence levels and high unemployment. Industry performance has been challenged by rising inflationary pressure since 2022 and the competitive presence of e-commerce rivals. Another rising trend is the increasing number of major retailers that have expanded their product ranges to include groceries, providing a heightened level of convenience. This transitions the revenue of these retailers to the Warehouse Clubs and Supercenters industry (IBISWorld report 45291), reducing industry participation. Revenue for department stores is expected to dip at a CAGR of 2.7% to $187.4 billion through the end of 2025, including a slump of 0.3% in 2025 alone, when profit will account for 3.7% of revenue. Online companies are increasingly undercutting traditional department store prices to save on operational costs. Companies with brick-and-mortar stores incur higher operational costs than online-based businesses because they pay for high-traffic retail space and require sales associates. Retailers have lowered selling prices and offered increased promotional deals to better compete. In April 2024, Nordstrom launched its digital Marketplace to expand its online presence and appeal to a wider audience. Through online platforms, retailers can offer a wider selection of brands, sizes and products. Similarly, department stores have since launched their digital stores and integrated them into their operations to provide an omnichannel shopping experience. While these efforts have helped retain some customers, profit has dropped because of inflationary pressures on the industry, resulting in retailers making more cost-cutting decisions, which has tempered declines. In the coming years, accelerating competition from e-commerce businesses and the transition of department stores to supercenters will continue to pressure revenue. Some department stores will shutter more locations. However, disposable income growth will help lessen these factors' blow on future revenue. Department stores like Macy's and Nordstrom will continue to benefit from strong brand recognition, particularly as older customers become more comfortable with online shopping. Investments in online platforms will pay off for retailers and help department stores be more competitive in a tough business landscape. Revenue for department stores is expected to slump at a CAGR of 0.2% to $185.1 billion through the end of 2030.

MealMe provides comprehensive grocery and retail SKU-level product data, including real-time pricing, from the top 100 retailers in the USA and Canada. Our proprietary technology ensures accurate and up-to-date insights, empowering businesses to excel in competitive intelligence, pricing strategies, and market analysis.

Retailers Covered: MealMe’s database includes detailed SKU-level data and pricing from leading grocery and retail chains such as Walmart, Target, Costco, Kroger, Safeway, Publix, Whole Foods, Aldi, ShopRite, BJ’s Wholesale Club, Sprouts Farmers Market, Albertsons, Ralphs, Pavilions, Gelson’s, Vons, Shaw’s, Metro, and many more. Our coverage spans the most influential retailers across North America, ensuring businesses have the insights needed to stay competitive in dynamic markets.

Key Features: SKU-Level Granularity: Access detailed product-level data, including product descriptions, categories, brands, and variations. Real-Time Pricing: Monitor current pricing trends across major retailers for comprehensive market comparisons. Regional Insights: Analyze geographic price variations and inventory availability to identify trends and opportunities. Customizable Solutions: Tailored data delivery options to meet the specific needs of your business or industry. Use Cases: Competitive Intelligence: Gain visibility into pricing, product availability, and assortment strategies of top retailers like Walmart, Costco, and Target. Pricing Optimization: Use real-time data to create dynamic pricing models that respond to market conditions. Market Research: Identify trends, gaps, and consumer preferences by analyzing SKU-level data across leading retailers. Inventory Management: Streamline operations with accurate, real-time inventory availability. Retail Execution: Ensure on-shelf product availability and compliance with merchandising strategies. Industries Benefiting from Our Data CPG (Consumer Packaged Goods): Optimize product positioning, pricing, and distribution strategies. E-commerce Platforms: Enhance online catalogs with precise pricing and inventory information. Market Research Firms: Conduct detailed analyses to uncover industry trends and opportunities. Retailers: Benchmark against competitors like Kroger and Aldi to refine assortments and pricing. AI & Analytics Companies: Fuel predictive models and business intelligence with reliable SKU-level data. Data Delivery and Integration MealMe offers flexible integration options, including APIs and custom data exports, for seamless access to real-time data. Whether you need large-scale analysis or continuous updates, our solutions scale with your business needs.

Why Choose MealMe? Comprehensive Coverage: Data from the top 100 grocery and retail chains in North America, including Walmart, Target, and Costco. Real-Time Accuracy: Up-to-date pricing and product information ensures competitive edge. Customizable Insights: Tailored datasets align with your specific business objectives. Proven Expertise: Trusted by diverse industries for delivering actionable insights. MealMe empowers businesses to unlock their full potential with real-time, high-quality grocery and retail data. For more information or to schedule a demo, contact us today!