100+ datasets found
  1. y

    US Retail Sales

    • ycharts.com
    html
    Updated Sep 16, 2025
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    Census Bureau (2025). US Retail Sales [Dataset]. https://ycharts.com/indicators/us_retail_sales
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Sep 16, 2025
    Dataset provided by
    YCharts
    Authors
    Census Bureau
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1992 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Retail Sales
    Description

    View monthly updates and historical trends for US Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.

  2. T

    US Retail Sales

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Nov 25, 2025
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    TRADING ECONOMICS (2025). US Retail Sales [Dataset]. https://tradingeconomics.com/united-states/retail-sales
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    csv, xml, excel, jsonAvailable download formats
    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    TRADING ECONOMICS
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    Feb 29, 1992 - Sep 30, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States increased 0.20 percent in September 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.

  3. Monthly retail sales in the U.S. from 2017 to 2025

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). Monthly retail sales in the U.S. from 2017 to 2025 [Dataset]. https://www.statista.com/statistics/804968/total-monthly-us-retail-sales/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2017 - Jul 2025
    Area covered
    United States
    Description

    This statistic shows a trend in total retail sales, including food services, in the United States from January 2017 to July 2025. In July 2025, U.S. retail sales had amounted to an estimated *********** U.S. dollars (not adjusted), which is an increase of approximately ** ******* U.S. dollars compared to the same month one year earlier.

  4. Retail Trade in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Sep 15, 2025
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    IBISWorld (2025). Retail Trade in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/retail-trade-industry/
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    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2015 - 2030
    Area covered
    United States
    Description

    The Retail Trade sector entered 2025 on a muted footing, with revenue growth of just 0.2% to reach $7.4 trillion. E-commerce remains a bright spot, with steady mid-single-digit gains in recent years, boosted by younger consumers' strong preference for digital channels. Yet, the sector's gains in digital shopping are balanced by ongoing challenges in discretionary spending, high operating costs and tariffs that threaten earnings. Profit has been pressured by steep price competition online and inflation-related expenses, though essential retailers in sub-sectors like food and health have managed steadier performance. Current efforts around omnichannel strategies, technology-driven efficiencies and sustainability reflect the sector's dual focus: capturing digital momentum while offsetting erosion in traditional store-based sales. Over the current period, the sector's revenue expanded at a modest CAGR of 2.2%, highlighting how the pandemic's volatility gave way to cautious but relatively stable expansion. Revenue streams benefited from major operations like Target, Walmart and Amazon reshaping retail into one-stop ecosystems that blend products and services, diversifying into groceries, healthcare, beauty and wellness. Automation adoption--from self-checkout kiosks to advanced inventory management--helped mitigate rising wage costs and sharpened efficiency, while marketing automation improved customer engagement through more tailored promotions. Still, profit took hits from inflation, heightened competition and consumers trading down to value alternatives amid tightening budgets. Consumer priorities for sustainability have altered market dynamics, leading to investments in resale programs and greener programs. The sector's growth is expected to slow, with revenue climbing at an anticipated 1.3% CAGR through 2030, reaching $7.9 trillion. While consumer disposable income is set to strengthen modestly, fragile sentiment from inflation, tariffs and labor market uncertainty may temper spending power. Technology will be a key driver in reshaping operations and growth opportunities. AI is poised to enhance inventory control, price optimization, delivery logistics and fraud prevention. Extended reality innovations, from AR try-ons to immersive VR shopping, will engage younger consumers and potentially redefine customer experiences, though costs and adoption hurdles remain. Reverse logistics and the circular economy will gain ground as sustainability priorities align with value-seeking behavior. Discounters and warehouse clubs are expected to capture share in the near term as households continue trading down, though specialty and discretionary retail could stage a rebound later in the outlook period as consumer confidence improves.

  5. Total retail sales in the United States 1992-2024

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). Total retail sales in the United States 1992-2024 [Dataset]. https://www.statista.com/statistics/197576/annual-retail-sales-in-the-us-since-1992/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    By the end of 2024, total retail sales reached approximately **** trillion U.S. dollars, around a quarter of a billion U.S. dollar increase from the year before. Retail sales have steadily increased since 2009, as the economy recovered from the downward trend due to the recession following the 2007-2008 financial crisis, and most recently from the impact of the coronavirus (COVID-19) crisis. The United States as retail powerhouse The United States is home to many of the leading retail companies in the world, including Walmart, Costco, and Amazon. Amazon, in particular, has seen extreme levels of growth in revenue in tandem with the increase of e-commerce globally. The rise of e-commerce and mobile shopping E-commerce is responsible for a growing percentage of total retail sales, partially due to a surge in mobile shopping, with customers increasingly using their mobile devices for various online shopping activities. Smartphones accounted for more retail website visits than desktops or tablets, and matched desktops in generating online shopping orders.

  6. FRED: U.S. Advance Retail Sales Dataset

    • kaggle.com
    Updated Sep 8, 2025
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    Swati Hegde (2025). FRED: U.S. Advance Retail Sales Dataset [Dataset]. https://www.kaggle.com/datasets/swatih/fred-u-s-advance-retail-sales-dataset
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 8, 2025
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Swati Hegde
    Area covered
    United States
    Description

    This dataset, identified by the series ID RSXFS, is sourced from the U.S. Census Bureau and is available through the Federal Reserve Economic Data (FRED) system of the St. Louis Fed. It provides a monthly measure of retail sales across the United States. The data represents the total value of sales at retail and food services stores, measured in millions of dollars and adjusted for seasonal variations. It is important to note that the most recent month's value is an advance estimate, which is subject to revision in subsequent months as more comprehensive data becomes available. As a key economic indicator, this series is widely used by economists and analysts to gauge consumer spending and assess the overall health of the U.S. economy.

    Suggested Use Cases: - This dataset is highly valuable for economic analysis and can be used to: - Conduct time series analysis and modeling. - Track consumer spending patterns. - Forecast future retail sales. - Analyze the impact of economic events on the retail sector.

    License The RSXFS dataset is sourced from the U.S. Census Bureau and is considered Public Domain: Citation Requested. This means the data is freely available for use, but you must cite the source and acknowledge that the data was obtained from FRED. If you plan on using any copyrighted series from other data providers on FRED for commercial purposes, you would need to contact the original data owner for permission.

    Data Fields: The dataset primarily contains two columns: - observation_date: The date of the monthly data point, recorded as the first day of each month from January 1992 to July 2025. - RSXFS: The value of advance retail sales in millions of dollars.

    Citation and Provenance:
    Source: U.S. Census Bureau
    Release: Advance Monthly Sales for Retail and Food Services
    FRED Link: https://fred.stlouisfed.org/series/RSXFS
    Citation: U.S. Census Bureau, Advance Retail Sales: Retail Trade [RSXFS], retrieved from FRED, Federal Reserve Bank of St. Louis; https://fred.stlouisfed.org/series/RSXFS, September 8, 2025.

  7. F

    Advance Retail Sales: Retail Trade

    • fred.stlouisfed.org
    json
    Updated Sep 16, 2025
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    (2025). Advance Retail Sales: Retail Trade [Dataset]. https://fred.stlouisfed.org/series/RSXFS
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 16, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Description

    Graph and download economic data for Advance Retail Sales: Retail Trade (RSXFS) from Jan 1992 to Aug 2025 about retail trade, sales, retail, services, and USA.

  8. US Retail Sales Data from 1992 to 2024

    • kaggle.com
    zip
    Updated Nov 20, 2024
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    Anjali Hansda (2024). US Retail Sales Data from 1992 to 2024 [Dataset]. https://www.kaggle.com/datasets/anjalihansda16/us-retail-sales-data-from-1992-to-2024
    Explore at:
    zip(1221599 bytes)Available download formats
    Dataset updated
    Nov 20, 2024
    Authors
    Anjali Hansda
    License

    Attribution-ShareAlike 4.0 (CC BY-SA 4.0)https://creativecommons.org/licenses/by-sa/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    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.
  9. US Census Bureau's Monthly State Retail Sales Data

    • kaggle.com
    zip
    Updated Jul 9, 2024
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    Umer Haddii (2024). US Census Bureau's Monthly State Retail Sales Data [Dataset]. https://www.kaggle.com/datasets/umerhaddii/us-census-bureaus-monthly-state-retail-sales-data
    Explore at:
    zip(178267 bytes)Available download formats
    Dataset updated
    Jul 9, 2024
    Authors
    Umer Haddii
    License

    https://creativecommons.org/publicdomain/zero/1.0/https://creativecommons.org/publicdomain/zero/1.0/

    Area covered
    United States
    Description

    Context

    The Monthly State Retail Sales (MSRS) is the Census Bureau's new experimental data product featuring modeled state-level retail sales. This is a blended data product using Monthly Retail Trade Survey data, administrative data, and third-party data. Year-over-year percentage changes are available for Total Retail Sales excluding Non-store Retailers as well as 11 retail North American Industry Classification System (NAICS) retail subsectors. These data are provided by state and NAICS codes beginning with January 2019.

    Content

    Geography: US

    Time period: 2019 - 2022

    Unit of analysis: US Census Bureau's Monthly State Retail Sales Data

    Variables

    VariableDescription
    fips2-digit State Federal Information Processing Standards (FIPS) code. For more information on FIPS Codes, please reference this document. Note: The US is assigned a "00" State FIPS code.
    state_abbrStates are assigned 2-character official U.S. Postal Service Code. The United States is assigned "USA" as its state_abbr value. For more information, please reference this document.
    naicsThree-digit numeric NAICS value for retail subsector code.
    subsectorRetail subsector.
    yearYear.
    monthMonth.
    change_yoyNumeric year-over-year percent change in retail sales value.
    change_yoy_seNumeric standard error for year-over-year percentage change in retail sales value.
    coverage_codeCharacter values assigned based on the non-imputed coverage of the data.
    VariableDescription
    coverage_codeCharacter values assigned based on the non-imputed coverage of the data.
    coverageDefinition of the codes.

    Acknowledgements

    Datasource: United States Census Bureau's Monthly State Retail Sales

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F51529449c5ea6477431748f5c1b8a83f%2Fpic1.png?generation=1720540453192512&alt=media" alt="">

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F18335022%2F831d14b5312bdda036b66793c4ed6944%2Fpic2.png?generation=1720540466019416&alt=media" alt="">

  10. y

    US Real Retail Sales

    • ycharts.com
    html
    Updated Oct 24, 2025
    + more versions
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    Census Bureau (2025). US Real Retail Sales [Dataset]. https://ycharts.com/indicators/us_real_retail_sales
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Oct 24, 2025
    Dataset provided by
    YCharts
    Authors
    Census Bureau
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Jan 31, 1992 - Aug 31, 2025
    Area covered
    United States
    Variables measured
    US Real Retail Sales
    Description

    View monthly updates and historical trends for US Real Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.

  11. Retail sales channel share in the United States 2022-2028

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Retail sales channel share in the United States 2022-2028 [Dataset]. https://www.statista.com/statistics/829220/share-of-retail-sales-by-channel-us/
    Explore at:
    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jul 2024
    Area covered
    United States
    Description

    In 2024, the in-store or brick-and-mortar retail channel was forecast to account for **** percent of total retail sales in the United States. By 2028, e-commerce is expected to make up ** percent of all retail sales.

  12. Retail Trade in the US

    • ibisworld.com
    Updated Sep 15, 2025
    + more versions
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    IBISWorld (2025). Retail Trade in the US [Dataset]. https://www.ibisworld.com/united-states/market-size/retail-trade/1000/
    Explore at:
    Dataset updated
    Sep 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

    https://www.ibisworld.com/about/termsofuse/https://www.ibisworld.com/about/termsofuse/

    Time period covered
    2005 - 2031
    Area covered
    United States
    Description

    Market Size statistics on the Retail Trade industry in the US

  13. M

    Retail Sales m/m - statistical data from the United States

    • mql5.com
    csv
    Updated Nov 20, 2025
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    MQL5 Community (2025). Retail Sales m/m - statistical data from the United States [Dataset]. https://www.mql5.com/en/economic-calendar/united-states/retail-sales-mm
    Explore at:
    csvAvailable download formats
    Dataset updated
    Nov 20, 2025
    Dataset authored and provided by
    MQL5 Community
    Time period covered
    Oct 17, 2023 - Sep 16, 2025
    Area covered
    United States
    Description

    Overview with Chart & Report: Retail Sales m/m reflect a change in the US retail sails in the reported month compared to the previous one. The indicator is calculated based on statistics received from 5,000 retail stores of

  14. Quarterly e-commerce share in total U.S. retail sales 2010-2025

    • statista.com
    Updated Oct 21, 2025
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    Statista (2025). Quarterly e-commerce share in total U.S. retail sales 2010-2025 [Dataset]. https://www.statista.com/statistics/187439/share-of-e-commerce-sales-in-total-us-retail-sales-in-2010/
    Explore at:
    Dataset updated
    Oct 21, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the second quarter of 2025, the share of e-commerce in total U.S. retail sales stood at **** percent, up from the previous quarter. From January to March 2025, retail e-commerce sales in the United States hit over *** billion U.S. dollars, the highest quarterly revenue in history. How e-commerce measures up in total U.S. retail In 2024, the reported total value of retail e-commerce sales in the United States amounted to over ****trillion U.S. dollars—impressive, but the figure pales compared to the total annual retail trade value of ******trillion U.S. dollars. Rising e-commerce segments Online shopping is popular among all age groups, though digital purchases are most common among Millennial internet users. In 2022, around ** percent of Millennials purchased items via the internet. Mobile commerce is also growing in popularity, as consumers increasingly rely on their smartphones and mobile apps for shopping activities. In the fourth quarter of 2022, m-commerce spending made up ** percent of the overall online spending in the United States.

  15. y

    US E-Commerce Sales as Percent of Retail Sales

    • ycharts.com
    html
    Updated Aug 19, 2025
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    Census Bureau (2025). US E-Commerce Sales as Percent of Retail Sales [Dataset]. https://ycharts.com/indicators/us_ecommerce_sales_as_percent_retail_sales
    Explore at:
    htmlAvailable download formats
    Dataset updated
    Aug 19, 2025
    Dataset provided by
    YCharts
    Authors
    Census Bureau
    License

    https://www.ycharts.com/termshttps://www.ycharts.com/terms

    Time period covered
    Dec 31, 1999 - Jun 30, 2025
    Area covered
    United States
    Variables measured
    US E-Commerce Sales as Percent of Retail Sales
    Description

    View quarterly updates and historical trends for US E-Commerce Sales as Percent of Retail Sales. from United States. Source: Census Bureau. Track economic…

  16. F

    Gross Domestic Product: Retail Trade (44-45) in the United States

    • fred.stlouisfed.org
    json
    Updated Sep 26, 2025
    + more versions
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    (2025). Gross Domestic Product: Retail Trade (44-45) in the United States [Dataset]. https://fred.stlouisfed.org/series/USRETAILNGSP
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Sep 26, 2025
    License

    https://fred.stlouisfed.org/legal/#copyright-public-domainhttps://fred.stlouisfed.org/legal/#copyright-public-domain

    Area covered
    United States
    Description

    Graph and download economic data for Gross Domestic Product: Retail Trade (44-45) in the United States (USRETAILNGSP) from 1997 to 2024 about GSP, private industries, retail trade, sales, retail, private, industry, GDP, and USA.

  17. Online Retail Market in the US by Product and Device - Forecast and Analysis...

    • technavio.com
    pdf
    Updated Mar 3, 2022
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    Technavio (2022). Online Retail Market in the US by Product and Device - Forecast and Analysis 2022-2026 [Dataset]. https://www.technavio.com/report/online-retail-market-industry-in-the-us-analysis
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 3, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

    https://www.technavio.com/content/privacy-noticehttps://www.technavio.com/content/privacy-notice

    Time period covered
    2021 - 2026
    Description

    Snapshot img

    The online retail market share in the US is expected to increase to USD 460.13 billion from 2021 to 2026, and the market’s growth momentum will accelerate at a CAGR of 11.64%.

    The report extensively covers online retail market in the US segmentation by the following:

    Product - Apparel, footwear, and accessories, consumer electronics and electricals, food and grocery, home furniture and furnishing, and others
    Device - Smartphones and tablets and PCs
    

    The US online retail market report offers information on several market vendors, including Amazon.com Inc., Apple Inc., Best Buy Co. Inc., Costco Wholesale Corp., eBay Inc., Kroger Co., Target Corp., The Home Depot Inc., Walmart Inc., and Wayfair Inc. among others.

    This online retail market in the US research report provides valuable insights on the post COVID-19 impact on the market, which will help companies evaluate their business approaches.

    What will the Online Retail Market Size in the US be During the Forecast Period?

    Download the Free Report Sample to Unlock the Online Retail Market Size in the US for the Forecast Period and Other Important Statistics

    Online Retail Market in the US: Key Drivers, Trends, and Challenges

    The growing seasonal and holiday sales is notably driving the online retail market growth in the US, although factors such as transportation and logistics may impede the market growth. Our research analysts have studied the historical data and deduced the key market drivers and the COVID-19 pandemic impact on the online retail industry in the US. The holistic analysis of the drivers will help in deducing end goals and refining marketing strategies to gain a competitive edge.

    Key US Online Retail Market Driver

    The growing seasonal and holiday sales is one of the key drivers supporting the US online retail market growth. For instance, from November 1 to December 24, e-commerce sales in the US increased by 11% in 2021, when compared to a massive 47.2% growth in the holiday season of 2020. E-commerce sales made up 20.9 % of total retail sales in the holiday season of 2021, slightly higher than 20.6 percent in 2020. Thanksgiving, Black Friday, and Cyber Monday are the days that see a high amount of online shopping. Apparel, footwear and accessories, consumer electronics, computer hardware, and toys are the largest gaining product categories during the holiday season. Consumers in the US spent $204.5 billion online in November and December 2021, up 8.6% over the same period in 2020. Such exciting sales and offers are driving the market growth.

    Key US Online Retail Market Trend

    Omni-channel retailing is one of the key US online retail market trends fueling the market growth. It is rapidly becoming the norm for many retailers in the US. It offers consumers the option to shop online and pick up the merchandise from the store nearest to their location on the same day. Retailers are observing a high web influence on their in-store sales. For instance, Best Buy is integrating its offline and online stores to boost revenues. As a part of its omnichannel strategy, the retailer is utilizing physical stores as distribution centers for online purchases. According to Best Buy, 40% of its online shoppers prefer picking up their purchases from physical stores. Best Buy also challenges online and discount retailers with its match-to-price strategy, claiming to offer gadgets at or below the price offered by competitors. Such strategies are expected to boost market growth during the forecast period.

    Key US Online Retail Market Challenge

    Transportation and logistics are some of the factors hindering the US online retail market growth. Product procurement or sourcing, shipment of ordered items, and delivery to customers are the three major processes where the intervention of transportation and logistics come into the picture. All these processes require a high investment of both time and money, which challenges the efficiency and effectiveness of retailers and their costing strategies. The higher cost incurred from transportation and logistics reduces the margin of retailers, and most of the time, retailers are unable to break even. Between rising fuel prices, driver shortages, as well as a governmental and societal push for increased digitization and sustainability, transport and logistics will continue to be under a lot of pressure. Such factors will negatively impact the market growth during the forecast period.

    This online retail market in the US analysis report also provides detailed information on other upcoming trends and challenges that will have a far-reaching effect on the market growth. The actionable insights on the trends and challenges will help companies evaluate and develop growth strategies for 2022-2026.

    Who are the Major Online Retail Market Vendors in the US?

    The report analyzes the market’s competitive landscape and offers information on several market vendors, includi

  18. Time Series Economic Indicators Time Series -: Advance Monthly Sales for...

    • catalog.data.gov
    • s.cnmilf.com
    Updated Jul 19, 2023
    + more versions
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    U.S. Census Bureau (2023). Time Series Economic Indicators Time Series -: Advance Monthly Sales for Retail and Food Services [Dataset]. https://catalog.data.gov/dataset/time-series-economic-indicators-time-series-advance-monthly-sales-for-retail-and-food-serv
    Explore at:
    Dataset updated
    Jul 19, 2023
    Dataset provided by
    United States Census Bureauhttp://census.gov/
    Description

    The U.S. Census Bureau.s economic indicator surveys provide monthly and quarterly data that are timely, reliable, and offer comprehensive measures of the U.S. economy. These surveys produce a variety of statistics covering construction, housing, international trade, retail trade, wholesale trade, services and manufacturing. The survey data provide measures of economic activity that allow analysis of economic performance and inform business investment and policy decisions. Other data included, which are not considered principal economic indicators, are the Quarterly Summary of State & Local Taxes, Quarterly Survey of Public Pensions, and the Manufactured Homes Survey. For information on the reliability and use of the data, including important notes on estimation and sampling variance, seasonal adjustment, measures of sampling variability, and other information pertinent to the economic indicators, visit the individual programs' webpages - http://www.census.gov/cgi-bin/briefroom/BriefRm.

  19. Retail Data | Retail Sector in North America | Comprehensive Contact...

    • datarade.ai
    + more versions
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    Success.ai, Retail Data | Retail Sector in North America | Comprehensive Contact Profiles | Best Price Guaranteed [Dataset]. https://datarade.ai/data-products/retail-data-retail-sector-in-north-america-comprehensive-success-ai
    Explore at:
    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset provided by
    Area covered
    United States
    Description

    Success.ai’s Retail Data for the Retail Sector in North America offers a comprehensive dataset designed to connect businesses with key players across the diverse retail industry. Covering everything from department stores and supermarkets to specialty shops and e-commerce platforms, this dataset provides verified contact details, business locations, and leadership profiles for retail companies in the United States, Canada, and Mexico.

    With access to over 170 million verified professional profiles and 30 million company profiles, Success.ai ensures your outreach, marketing, and business development efforts are powered by accurate, continuously updated, and AI-validated data.

    Backed by our Best Price Guarantee, this solution empowers businesses to thrive in North America’s competitive retail landscape.

    Why Choose Success.ai’s Retail Data for North America?

    1. Verified Contact Data for Precision Outreach

      • Access verified phone numbers, work emails, and LinkedIn profiles of retail executives, store managers, and decision-makers.
      • AI-driven validation ensures 99% accuracy, enabling confident communication and efficient campaign execution.
    2. Comprehensive Coverage Across Retail Segments

      • Includes profiles of retail businesses across major markets, from large department stores and grocery chains to boutique retailers and online platforms.
      • Gain insights into the operational dynamics of retail hubs in cities such as New York, Los Angeles, Toronto, and Mexico City.
    3. Continuously Updated Datasets

      • Real-time updates reflect leadership changes, new store openings, market expansions, and shifts in consumer preferences.
      • Stay aligned with evolving industry trends and emerging opportunities in the North American retail sector.
    4. Ethical and Compliant

      • Adheres to GDPR, CCPA, and other privacy regulations, ensuring responsible and lawful use of data in your campaigns.

    Data Highlights:

    • 170M+ Verified Professional Profiles: Engage with executives, marketing directors, and operations managers across the North American retail sector.
    • 30M Company Profiles: Access firmographic data, including revenue ranges, store counts, and geographic footprints.
    • Store Location Data: Pinpoint retail outlets, regional offices, and distribution centers to refine supply chain and marketing strategies.
    • Leadership Contact Details: Connect with CEOs, CMOs, and procurement officers influencing retail operations and vendor selections.

    Key Features of the Dataset:

    1. Retail Decision-Maker Profiles

      • Identify and engage with store owners, category managers, and marketing directors shaping customer experiences and product strategies.
      • Target professionals responsible for inventory planning, vendor contracts, and store performance.
    2. Advanced Filters for Precision Targeting

      • Filter companies by industry segment (luxury, grocery, e-commerce), geographic location, company size, or revenue range.
      • Tailor outreach to align with regional market trends, customer demographics, and operational priorities.
    3. Market Trends and Operational Insights

      • Analyze trends such as online shopping growth, sustainability practices, and supply chain optimization.
      • Leverage insights to refine product offerings, identify partnership opportunities, and design effective campaigns.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data enable personalized messaging, highlight unique value propositions, and enhance engagement outcomes.

    Strategic Use Cases:

    1. Sales and Lead Generation

      • Present products, services, or technology solutions to retail procurement teams, marketing departments, and operations managers.
      • Build relationships with retailers seeking innovative tools, efficient supply chain solutions, or unique product offerings.
    2. Market Research and Consumer Insights

      • Analyze retail trends, customer behaviors, and seasonal demands to inform marketing strategies and product launches.
      • Benchmark against competitors to identify gaps, emerging niches, and growth opportunities.
    3. E-Commerce and Digital Strategy Development

      • Target e-commerce managers and digital transformation teams driving online retail initiatives and omnichannel integration.
      • Offer solutions to enhance online shopping experiences, logistics, and customer loyalty programs.
    4. Recruitment and Workforce Solutions

      • Engage HR professionals and hiring managers in recruiting talent for store operations, customer service, or marketing roles.
      • Provide workforce optimization tools, training platforms, or staffing services tailored to retail environments.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality retail data at competitive prices, ensuring strong ROI for your marketing and outreach efforts in North America.
    2. Seamless Integration
      ...

  20. m

    US Retail Market Size, Share, Trends and Forecasts 2031

    • mobilityforesights.com
    pdf
    Updated Sep 8, 2025
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    Mobility Foresights (2025). US Retail Market Size, Share, Trends and Forecasts 2031 [Dataset]. https://mobilityforesights.com/product/us-retail-market-1
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Sep 8, 2025
    Dataset authored and provided by
    Mobility Foresights
    License

    https://mobilityforesights.com/page/privacy-policyhttps://mobilityforesights.com/page/privacy-policy

    Area covered
    United States
    Description

    In US Retail Market is projected to grow from USD 2.3 trillion in 2025 to USD 3.7 trillion by 2031, at a CAGR of 8.2%

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Census Bureau (2025). US Retail Sales [Dataset]. https://ycharts.com/indicators/us_retail_sales

US Retail Sales

Explore at:
htmlAvailable download formats
Dataset updated
Sep 16, 2025
Dataset provided by
YCharts
Authors
Census Bureau
License

https://www.ycharts.com/termshttps://www.ycharts.com/terms

Time period covered
Jan 31, 1992 - Aug 31, 2025
Area covered
United States
Variables measured
US Retail Sales
Description

View monthly updates and historical trends for US Retail Sales. from United States. Source: Census Bureau. Track economic data with YCharts analytics.

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