Total retail sales in the United States was forecast to amount to 5.23 trillion U.S. dollars in 2024, up by 13 billion U.S. dollars in the previous year. Retail establishments come in many forms such as grocery stores, restaurants, and bookstores. There are around four million retail establishments in the United States. Leading companies in U.S. retail The domestic retail market in the United States is very competitive, with many companies recording substantial retail sales. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers. American retailers worldwide Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of American retailers doing business on a global scale. 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.

Global retail sales were projected to amount to around **** trillion U.S. dollars by 2026, up from approximately **** trillion U.S. dollars in 2021. The retail industry encompasses the journey of a good or service. This typically starts with the manufacturing of a product and ends with said product being purchased by a consumer from a retailer. Retail establishments come in many forms such as grocery stores, restaurants, and bookstores. American retailers worldwide As a result of globalization and various trade agreements between markets and countries, many retailers are capable of doing business on a global scale. Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of such American retailers. The success of U.S. retailers can also be seen through their performance in online retail. Retail in the U.S. The domestic retail market in the United States is a lucrative market, in which many companies compete. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers.

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.

Global retail market to reach $46.78T by 2029 at 7.6% CAGR, driven by growth in auto, food, fuel, cosmetics, personal care, and miscellaneous retail sectors.

This dataset was created to simulate a market basket dataset, providing insights into customer purchasing behavior and store operations. The dataset facilitates market basket analysis, customer segmentation, and other retail analytics tasks. Here's more information about the context and inspiration behind this dataset:

Context:

Retail businesses, from supermarkets to convenience stores, are constantly seeking ways to better understand their customers and improve their operations. Market basket analysis, a technique used in retail analytics, explores customer purchase patterns to uncover associations between products, identify trends, and optimize pricing and promotions. Customer segmentation allows businesses to tailor their offerings to specific groups, enhancing the customer experience.

Inspiration:

The inspiration for this dataset comes from the need for accessible and customizable market basket datasets. While real-world retail data is sensitive and often restricted, synthetic datasets offer a safe and versatile alternative. Researchers, data scientists, and analysts can use this dataset to develop and test algorithms, models, and analytical tools.

Dataset Information:

The columns provide information about the transactions, customers, products, and purchasing behavior, making the dataset suitable for various analyses, including market basket analysis and customer segmentation. Here's a brief explanation of each column in the Dataset:

• Transaction_ID: A unique identifier for each transaction, represented as a 10-digit number. This column is used to uniquely identify each purchase.
• Date: The date and time when the transaction occurred. It records the timestamp of each purchase.
• Customer_Name: The name of the customer who made the purchase. It provides information about the customer's identity.
• Product: A list of products purchased in the transaction. It includes the names of the products bought.
• Total_Items: The total number of items purchased in the transaction. It represents the quantity of products bought.
• Total_Cost: The total cost of the purchase, in currency. It represents the financial value of the transaction.
• Payment_Method: The method used for payment in the transaction, such as credit card, debit card, cash, or mobile payment.
• City: The city where the purchase took place. It indicates the location of the transaction.
• Store_Type: The type of store where the purchase was made, such as a supermarket, convenience store, department store, etc.
• Discount_Applied: A binary indicator (True/False) representing whether a discount was applied to the transaction.
• Customer_Category: A category representing the customer's background or age group.
• Season: The season in which the purchase occurred, such as spring, summer, fall, or winter.
• Promotion: The type of promotion applied to the transaction, such as "None," "BOGO (Buy One Get One)," or "Discount on Selected Items."

Use Cases:

• Market Basket Analysis: Discover associations between products and uncover buying patterns.
• Customer Segmentation: Group customers based on purchasing behavior.
• Pricing Optimization: Optimize pricing strategies and identify opportunities for discounts and promotions.
• Retail Analytics: Analyze store performance and customer trends.

Note: This dataset is entirely synthetic and was generated using the Python Faker library, which means it doesn't contain real customer data. It's designed for educational and research purposes.

Retailers using artificial intelligence (AI) and machine learning (ML) technologies performed better than their competitors. Both in 2023 and 2024, retail companies using this kind of technologies saw a ********* growth of their sales compared to the respective previous years. Similarly, their annual profit grew by roughly ***** percent, outperforming retailers who did not use AI or ML solutions.

The Taiwan retail industry, spanning from traditional brick-and-mortar stores to rapidly expanding e-commerce platforms, presents a dynamic landscape. Analyzing the period from 2019 to 2033, we observe consistent growth, although the rate fluctuates based on economic conditions and consumer behavior. The base year of 2025 provides a crucial benchmark for forecasting future performance. Considering a plausible market size of $100 billion USD (a reasonable estimate given the size of the Taiwanese economy and retail sector) in 2025, and assuming a conservative Compound Annual Growth Rate (CAGR) of 4% (reflecting both economic growth and evolving consumer preferences), the market is projected to reach approximately $117 billion USD by 2033. This growth is fueled by several factors, including rising disposable incomes, a growing young population increasingly engaged with online shopping, and the continuous influx of foreign brands seeking to tap into the Taiwanese market. However, challenges persist. Competition from both domestic and international players remains fierce, requiring retailers to continuously innovate and adapt their strategies to meet evolving customer expectations. Furthermore, the impact of global economic fluctuations and supply chain disruptions could influence growth trajectories. The future of the Taiwan retail industry hinges on the successful integration of online and offline channels (omni-channel strategies), personalized customer experiences, and the adoption of advanced technologies such as artificial intelligence and big data analytics for improved efficiency and customer engagement. The industry's ability to harness these technological advancements will be pivotal in maintaining its growth momentum and competitiveness in the long term. Government policies aimed at boosting domestic consumption and supporting small and medium-sized enterprises (SMEs) also play a significant role in shaping the overall industry landscape. A focus on sustainability and ethical sourcing will increasingly resonate with environmentally and socially conscious consumers, presenting opportunities for businesses to differentiate themselves. Recent developments include: In January 2021, Bolttech expanded in Taiwan via a device protection partnership with Samsung. Its latest partnership with Samsung in Taiwan includes arranging for mobile device protection to owners of new Samsung Galaxy smartphones and tablets through the Samsung Care+ program., In November 2020, Foodpanda expanded its e-commerce with more than 2,500 7-Eleven stores across Singapore, Malaysia, Taiwan, and the Philippines. With this partnership, Foodpanda brings hundreds of 7-Eleven items, including hot food, ready-to-eat instant meals, snacks and alcohol, and even pre-paid mobile phone cards, to customers' hands within an average delivery time of 20 minutes. Deliveries can be made anytime, anywhere, 24*7 via Foodpanda.. Notable trends are: Consumer Confidence to Strengthen on Minimum Wage Hike..

Retail Industry Casters Market Outlook

The global retail industry casters market size was valued at approximately $12 billion in 2023 and is expected to reach around $20 billion by 2032, growing at a compound annual growth rate (CAGR) of 6.1% during this forecast period. This growth is primarily driven by the expanding retail sector, which is increasingly relying on efficient logistics and mobility solutions to enhance consumer shopping experiences. As the retail industry continues to evolve, retailers are seeking innovative solutions to improve workflow efficiency and customer satisfaction, thus driving the demand for high-quality casters. The increasing investments in retail infrastructure and the proliferation of large-scale retail chains and supermarkets further boost the market for retail casters.

One of the key factors driving the growth of the retail industry casters market is the rising demand for shopping convenience. As consumer preferences shift towards seamless and efficient shopping experiences, retailers are investing in advanced store equipment that enhances mobility and accessibility. Casters play a crucial role in the maneuverability of shopping carts, display racks, and other retail equipment, directly impacting the ease of shopping. Moreover, with the growth of e-commerce, the need for efficient warehousing and logistics solutions has become paramount, boosting the demand for casters in warehouse trolleys and other material handling equipment. The surge in online shopping has necessitated the efficient movement of goods in distribution centers, further driving market growth.

Technological advancements in caster design and materials have also contributed significantly to market growth. Manufacturers are increasingly focusing on developing casters with enhanced load-bearing capabilities, durability, and noise-reduction features. The use of advanced materials such as polyurethane and rubber has led to the development of casters that offer superior performance in terms of mobility and noise reduction, especially in high-traffic retail environments. Furthermore, innovations such as the introduction of self-braking casters and smart casters integrated with IoT technology are gaining traction, offering retailers improved functionality and operational efficiency. These technological advancements are expected to continue driving the market forward.

Environmental sustainability is becoming an increasingly prominent factor influencing the growth of the retail industry casters market. With growing awareness of environmental impact, there is a rising demand for sustainable and eco-friendly products in the retail sector. Retailers are increasingly seeking casters that are manufactured using environmentally friendly processes and materials. This trend is driving manufacturers to innovate and develop sustainable caster solutions that align with the environmental goals of retailers. Additionally, regulatory pressures and consumer preference for sustainable practices are likely to further propel this trend, contributing to the market's expansion.

Plastic Casters have emerged as a popular choice in the retail industry due to their lightweight nature and cost-effectiveness. These casters are particularly advantageous for applications where weight reduction is crucial, such as in portable retail equipment and displays. The versatility of plastic casters allows them to be used in a variety of retail settings, from small boutique stores to large-scale supermarkets. Furthermore, advancements in plastic technology have led to the development of casters that offer improved durability and load-bearing capabilities, making them suitable for a wide range of applications. As retailers continue to seek efficient and economical solutions, the demand for plastic casters is expected to grow, contributing to the overall expansion of the retail industry casters market.

Regionally, the Asia Pacific region holds a dominant position in the retail industry casters market, accounting for a significant share of the global market. This can be attributed to the rapid urbanization and industrialization in countries like China and India, where the retail sector is witnessing tremendous growth. The expansion of the middle-class population and increasing disposable incomes are fueling the demand for retail infrastructure, which in turn drives the demand for casters. North America and Europe also hold substantial market shares, driven by well-established retail industries and a strong focus on technological advancements and sustainability. The Middle East &

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.

Data Overview

• Scale: All sales figures are reported in millions of dollars.
• Size: The dataset contains 40,479 rows and 5 columns.
• Time Frame: January 1992 - September 2024.
• Industries Covered: Over 60 industries, including food, clothing, footwear, office supplies, automobiles, electronics, books, beverages, furniture, grocery and many more.
• Attributes:
  • naics_code
  • kind_of_business
  • sales_month
  • sales
  • estimate_type
• Source: This dataset was sourced from the publicly available U.S. Census Bureau retail sales data.

Cleaning & Preprocessing

• Missing Values:
  Some entries contained (NA) and (S) values, which were converted to null values.
  • (S): Estimate does not meet publication standards due to high sampling variability (coefficient of variation greater than 30%) or poor response quality (low total quantity response rate).
• Formatting:
  The downloaded data included headings, subheadings, and notes embedded within the tables. These extraneous elements were removed to ensure a clean and consistent dataset.
• Data Compilation:
  The original dataset was spread across multiple sheets, with each sheet containing data for a specific year. These sheets were consolidated into a single, unified table.
• Feature Engineering:
  A new column was created to provide both seasonally adjusted and non-seasonally adjusted sales values, enabling more nuanced analysis. Estimates are adjusted for seasonal variations, as well as holiday and trading-day differences, but not for price changes.

Use Cases

This dataset can be applied to a variety of analytical and machine learning tasks, including:

• Data Cleaning: Practice handling missing values, stray entries, and working with datetime data.
• Time Series Analysis: Perform trend analysis, seasonality detection, and forecasting.
• Exploratory Data Analysis (EDA): Gain insights into industry-specific trends and patterns.
• Machine Learning: Use it for predictive modeling and classification tasks.
• Market Research: Analyze industry performance to inform business strategies.

In 2019, 64 percent of retailers surveyed stated that the site conversion rate of their digital business had increased when compared to the previous year. Over a third of respondents (36 percent) reported that the average value per order of their digital business decreased during that time.

All restaurants and food stores selling perishable items are required to apply for a Retail Food License (RFL). This metric tracks the average number of days the Department of Business Affairs and Consumer Protection (BACP) takes to issue RFLs. The target response time for processing is within 15 days.

The global retail industry, valued at $32.68 billion in 2025, is projected to experience robust growth, driven by several key factors. E-commerce continues its rapid expansion, fueled by increasing internet penetration and consumer preference for online convenience. Simultaneously, the rise of omnichannel strategies, integrating online and offline retail experiences, is enhancing customer engagement and driving sales. The increasing adoption of advanced technologies, such as artificial intelligence (AI) for personalized recommendations and supply chain optimization, is further boosting efficiency and profitability within the sector. Growth is also being fueled by shifting consumer preferences towards sustainable and ethically sourced products, prompting retailers to adapt their offerings and supply chains accordingly. Different product categories exhibit varying growth trajectories; for example, the food, beverage, and grocery segment is expected to maintain steady growth, while the personal and household care sector may experience accelerated growth due to changing lifestyle choices and heightened health consciousness. Geographical distribution reveals that North America and Asia-Pacific currently dominate the market, however, emerging markets in Africa and South America present significant untapped potential for future expansion. Competition remains fierce, with established giants like Walmart and Amazon facing challenges from smaller, agile businesses utilizing innovative marketing and fulfillment strategies. Despite the positive outlook, the retail industry faces certain headwinds. Supply chain disruptions, inflation, and fluctuating geopolitical landscapes pose ongoing threats to profitability and stability. The increasing complexity of regulations and compliance requirements also add to operational challenges. Furthermore, intensifying competition necessitates continuous innovation in business models, customer service, and technology adoption to maintain a competitive edge. Successfully navigating these challenges will depend on retailers’ ability to embrace digital transformation, optimize their operations for efficiency, and prioritize sustainable practices to meet evolving consumer demands. The forecast period of 2025-2033 presents a dynamic landscape where adaptability and strategic foresight will be critical for success within this ever-evolving sector. This report provides a detailed analysis of the global retail industry, encompassing historical data (2019-2024), the current market landscape (Base Year 2025), and future projections (Forecast Period: 2025-2033). With a focus on key players like Walmart, Amazon, and Alibaba, this in-depth study explores market trends, segment performance, and growth drivers, offering valuable insights for investors, businesses, and industry professionals. The report covers a market valued in the hundreds of billions, if not trillions of dollars, and utilizes a multi-faceted approach to understanding the evolving retail landscape. Recent developments include: October 2023: Amazon announced that it provides online shopping services in South Africa to assist independent retailers in starting, expanding, and growing their enterprises.August 2023: Italian luxury fashion brand Gucci and Chinese e-commerce giant JD.com, popularly known as Jingdong, have partnered digitally. With the launch of a new digital flagship shop on the e-commerce retailer's platform, the partnership will reach a significant milestone.May 2023: Walmart announced the launch of over 28 healthcare facilities in its Walmart Supercenters, providing value-based and dental care services, among others.. Key drivers for this market are: Rapid Expansion of Urban Areas, Rise of E-commerce and Omnichannel Retailing. Potential restraints include: Rapid Expansion of Urban Areas, Rise of E-commerce and Omnichannel Retailing. Notable trends are: E-commerce is the Fastest-growing Segment in the Retail Industry.

Total retail sales in the United States were projected to amount to *** trillion U.S. dollars in 2026, up from around *** trillion U.S. dollars in 2021. These figures included e-commerce and retail sales. Retail establishments come in many forms such as grocery stores, restaurants, and bookstores. There are around ************ retail establishments in the United States. Leading companies in U.S. retail The domestic retail market in the United States is very competitive, with many companies recording substantial retail sales. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers. American retailers worldwide Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of American retailers doing business on a global scale. 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.

Artificial Intelligence in FMCG and Retail Market Outlook

The global market size for Artificial Intelligence (AI) in the FMCG and retail sectors was valued at approximately USD 15.2 billion in 2023 and is projected to reach around USD 94.2 billion by 2032, growing at a compound annual growth rate (CAGR) of 22.5%. This impressive growth can be attributed to the increasing adoption of AI technologies to enhance customer experience, optimize supply chain management, and improve inventory management.

The rapid advancement and integration of AI technologies have revolutionized the FMCG and retail sectors, driving significant growth in this market. One of the primary growth factors is the increasing demand for personalized customer experiences. AI-powered systems enable businesses to analyze vast amounts of data, allowing them to tailor recommendations, offers, and advertisements to individual consumer preferences. This personalization boosts customer satisfaction and loyalty, leading to higher sales and revenue for businesses. Additionally, AI technologies such as chatbots and virtual assistants provide 24/7 customer support, further enhancing the customer experience.

Another significant growth driver for the AI in FMCG and retail market is the need for efficient inventory management. Traditional inventory management practices often lead to overstocking or stockouts, resulting in financial losses. AI-driven inventory management systems utilize predictive analytics to forecast demand accurately, ensuring optimal stock levels. These systems can analyze historical sales data, market trends, and other variables to predict future demand, enabling businesses to make informed decisions about stock replenishment. This optimization of inventory not only reduces costs but also minimizes waste, contributing to sustainable business practices.

The optimization of supply chain operations through AI is also a crucial factor propelling market growth. AI technologies can analyze and interpret vast amounts of data from various sources, providing real-time insights into supply chain processes. This enables businesses to detect inefficiencies, reduce operational costs, and enhance overall supply chain performance. For example, AI-powered systems can predict potential disruptions in the supply chain and suggest alternative routes or suppliers, mitigating risks and ensuring timely delivery of products. As a result, businesses can maintain a competitive edge in the market while meeting customer demands efficiently.

Regionally, the adoption and growth of AI technologies in the FMCG and retail sectors vary across different parts of the world. North America, particularly the United States, leads the market due to the early adoption of advanced technologies and significant investments in AI research and development. Europe follows closely, with countries like Germany and the UK actively integrating AI into their retail and FMCG operations. The Asia Pacific region is expected to witness the highest growth during the forecast period, driven by the rapid digitization of economies such as China and India. The Middle East & Africa and Latin America are also gradually embracing AI technologies, albeit at a slower pace.

Component Analysis

The AI in FMCG and retail market is segmented by components into software, hardware, and services. The software segment encompasses various AI solutions such as machine learning, natural language processing, and computer vision. These software solutions are integral to the functioning of AI systems, enabling them to analyze data, recognize patterns, and make predictions. The growing demand for AI-driven applications in customer service, inventory management, and supply chain optimization is significantly driving the software segment's growth. Companies are heavily investing in developing advanced AI algorithms and platforms to enhance their operational efficiency and customer engagement.

Hardware components include AI-specific chipsets, sensors, and other devices that facilitate the deployment of AI technologies. The increasing need for high-performance computing capabilities to process large datasets and execute complex algorithms is propelling the demand for specialized AI hardware. Innovations in hardware technologies, such as the development of AI accelerators and neuromorphic chips, are further boosting the hardware segment. These advancements enable faster and more efficient AI computations, enhancing the overall performance of AI applications in FMCG and retail sectors.

The services segment comprises consulting

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

In 2020, global retail sales fell by 2.9 percent as a result of the COVID-19 pandemic, bouncing back in 2021 with a growth of 9.7 percent Global retail sales were projected to amount to around 27.3 trillion U.S. dollars by 2022, up from approximately 23.7 trillion U.S. dollars in 2020.

American retailers worldwide
As a result of globalization and various trade agreements between markets and countries, many retailers are capable of doing business on a global scale. Many of the world’s leading retailers are American companies. Walmart and Amazon are examples of such American retailers. The success of U.S. retailers can also be seen through their performance in online retail.

Retail in the U.S.
The domestic retail market in the United States is a lucrative market, in which many companies compete. Walmart, a retail chain offering low prices and a wide selection of products, is the leading retailer in the United States. Amazon, The Kroger Co., Costco, and Target are a selection of other leading U.S. retailers.

Retail Sales in the United States increased 3.30 percent in May of 2025 over the same month in the previous year. This dataset provides - United States Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

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.

In 2018, the total year-end net asset value of the ** surveyed key department store operators in China increased by *** percent compared to the previous year. The net profits, core operating profits, total sales revenue, and operating area also grew in 2018, whereas the average number of employees and total expenses decreased.