100+ datasets found
  1. T

    US Retail Sales

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 17, 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
    Jun 17, 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 - May 31, 2025
    Area covered
    United States
    Description

    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.

  2. Expected changes to consumer spending in the United States 2024, by category...

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Expected changes to consumer spending in the United States 2024, by category [Dataset]. https://www.statista.com/statistics/1496907/expected-change-in-spending-by-category/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Aug 2024
    Area covered
    United States
    Description

    When asked about spending intentions in August, about ** percent of consumers in the United States said the intended to spend less on items such as furniture, jewelry, home decorations, and accessories over the course of the next three months. For most categories, a significant share of shoppers expected to spend about the same as they usually do.

  3. A

    Retail Spending Potential

    • data.amerigeoss.org
    • datadiscoverystudio.org
    • +1more
    csv, geojson, json +1
    Updated Jul 28, 2019
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    United States (2019). Retail Spending Potential [Dataset]. https://data.amerigeoss.org/ca/dataset/retail-spending-potential
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    shp, geojson, json, csvAvailable download formats
    Dataset updated
    Jul 28, 2019
    Dataset provided by
    United States
    Description

    This map shows the average household spending potential for retail goods in the United States in 2012. Spending potential data measures household consumer spending for retail goods by area. In the United States, the average household spent $22,896 on retail goods in 2012. Esri uses Consumer Expenditure Survey data from the Bureau of Labor Statistics in its estimates. Retail goods means merchandise bought directly by consumers. This data is part of Esri's Consumer Spending database (2012). The geography depicts States at greater than 50m scale, Counties at 7.5m to 50m scale, Census Tracts at 200k to 7.5m scale, and Census Block Groups at less than 200k scale. Scale Range: 1:591,657,528 down to 1:72,224 For more information on this map, including our terms of use, visit us online at http://goto.arcgisonline.com/maps/Demographics/USA_Retail_Spending_Potential

  4. d

    MBI Geodata - Consumer Spending Data in the EU (42 countries covered)

    • datarade.ai
    .xls
    Updated May 13, 2025
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    MBI Geodata (2025). MBI Geodata - Consumer Spending Data in the EU (42 countries covered) [Dataset]. https://datarade.ai/data-products/consumer-spending-data
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    .xlsAvailable download formats
    Dataset updated
    May 13, 2025
    Dataset authored and provided by
    MBI Geodata
    Area covered
    Belgium, Bulgaria, Hungary, Germany, France, Denmark, United Kingdom, Estonia
    Description

    Consumer Spending data by product groups quantifies the expenditures of European consumers on certain groups of products. The ratio between disposable income, demographics and expenditures for the products and services are derived from Household Budget surveys from the National Statistical Offices. By using such representative surveys and the regional and local statistics about income data and demographics, Consumer Spending data is calculated. Consumer Spending data are available for the following product groups:

    Food and non-alcoholic beverages Alcoholic beverages Tobacco Clothing Footwear Furniture and furnishings, carpets and other floor coverings Household textiles Household appliances Glassware, tableware and household utensils Tools and equipment for house and garden Routine household maintenance Medical products, appliances and equipment Consumer Electronics, photographic and IT equipment Durables for recreation and culture Toys and games, hobby, sport, garden, pets Recreational and cultural services Newspapers, books and stationery Catering Services Personal care Jewellery, clocks, watches and other personal effects

  5. T

    United States Consumer Spending

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Consumer Spending [Dataset]. https://tradingeconomics.com/united-states/consumer-spending
    Explore at:
    xml, json, excel, csvAvailable download formats
    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
    Mar 31, 1947 - Mar 31, 2025
    Area covered
    United States
    Description

    Consumer Spending in the United States increased to 16291.80 USD Billion in the first quarter of 2025 from 16273.20 USD Billion in the fourth quarter of 2024. This dataset provides the latest reported value for - United States Consumer Spending - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. Consumer expenditure in U.S. Big-Box and department stores 2006-2020

    • statista.com
    Updated Oct 15, 2015
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    Statista (2015). Consumer expenditure in U.S. Big-Box and department stores 2006-2020 [Dataset]. https://www.statista.com/statistics/473755/big-box-and-department-stores-consumer-spending-in-the-us/
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    Dataset updated
    Oct 15, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2006 - 2015
    Area covered
    United States
    Description

    This statistic depicts the consumer spending of Big-Box and department stores in the U.S. retail industry from 2006 to 2015 and provides a forecast until 2020. In 2015, Big-Box and department store consumer spending amounted to **** trillion U.S. dollars.

  7. Retail IT Spending Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Retail IT Spending Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-retail-it-spending-market
    Explore at:
    csv, pdf, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Retail IT Spending Market Outlook



    The global Retail IT Spending market size is projected to experience substantial growth, with an estimated value of approximately USD 261 billion in 2023, and is anticipated to reach USD 451 billion by 2032, witnessing a CAGR of 6.5% during the forecast period. Several growth factors are spearheading this expansion, including the rapid digital transformation in the retail sector and the increasing consumer inclination towards online shopping. Retailers are continuously investing in innovative IT solutions to enhance their operational efficiencies, improve customer experiences, and stay competitive in a fast-evolving digital landscape. This surge in IT spending is also driven by the need to integrate advanced technologies such as artificial intelligence, analytics, and IoT, which are redefining traditional retail operations.



    One significant growth factor contributing to the Retail IT Spending market is the technological advancement and proliferation of smart retail technologies. Retailers are increasingly adopting IT solutions to streamline their supply chains, enhance inventory management, and offer personalized customer experiences. The integration of AI and machine learning in retail operations enables businesses to predict consumer behavior, optimize pricing strategies, and improve customer service. Moreover, the rise of omnichannel retailing, where physical and digital shopping experiences are seamlessly integrated, necessitates robust IT infrastructures, further boosting the market. As consumers demand more personalized and convenient shopping experiences, retailers are compelled to invest in IT solutions that can deliver these expectations, thus driving market growth.



    Another driving factor is the growing importance of cybersecurity in the retail sector. As retailers expand their digital presence, they become more vulnerable to cyber threats, necessitating increased spending on cybersecurity solutions. The implementation of stringent data protection regulations worldwide has made it imperative for retail businesses to invest in securing their IT infrastructure. This includes solutions for data encryption, threat detection, and response systems to safeguard sensitive customer information. With cyber threats becoming increasingly sophisticated, retailers are prioritizing their IT budgets to ensure robust cybersecurity measures are in place, thus contributing to the overall growth of the Retail IT Spending market.



    The continuous evolution and expansion of e-commerce platforms also play a critical role in driving the Retail IT Spending market. With the exponential growth of e-commerce giants and the proliferation of online shopping, retailers are under immense pressure to enhance their digital capabilities. This shift has led to increased investments in IT solutions that support e-commerce operations, such as cloud computing, IT infrastructure upgrades, and customer relationship management systems. Retailers are also leveraging data analytics to gain insights into consumer behavior and preferences, allowing them to tailor their offerings and marketing strategies effectively. As e-commerce continues to fuel the digital retail revolution, the demand for advanced IT solutions is expected to rise significantly.



    In the context of the Retail IT Spending market, Capital ICT Spending plays a pivotal role in shaping the strategic direction of retail enterprises. As retailers strive to enhance their digital capabilities, capital investments in Information and Communication Technology (ICT) are becoming increasingly critical. These investments are not only aimed at upgrading existing IT infrastructure but also at adopting cutting-edge technologies that can drive innovation and efficiency. By allocating significant capital towards ICT, retailers can ensure they remain competitive in a rapidly evolving market landscape. This focus on Capital ICT Spending is particularly evident in the deployment of advanced analytics, AI, and IoT solutions, which are transforming traditional retail operations and enabling businesses to better understand and serve their customers.



    In terms of regional outlook, North America currently holds a significant share of the Retail IT Spending market, driven by the presence of major retail giants and advanced IT infrastructure. The region's highly developed retail sector and early adoption of digital technologies contribute to its leading position. Meanwhile, the Asia Pacific region is anticipated to witness the fastest growth during the forecast period, owing to the rapid develo

  8. IT Spending in Retail Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Dec 3, 2024
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    Dataintelo (2024). IT Spending in Retail Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/global-it-spending-in-retail-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Dec 3, 2024
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    IT Spending in Retail Market Outlook



    As of 2023, the IT spending in the retail market has been valued at approximately USD 183 billion and is expected to reach an estimated market size of USD 370 billion by 2032, with a compound annual growth rate (CAGR) of 8.5% during the forecast period. This substantial growth is driven by the increasing adoption of advanced technologies to enhance operational efficiency and improve customer experience in the retail sector. The surge in digital transformation initiatives, particularly in the wake of the COVID-19 pandemic, has significantly accelerated IT investments across various retail segments, making technology an integral component of modern retail strategies.



    One of the pivotal growth factors for this market is the rising demand for omnichannel retailing. As consumers increasingly expect seamless shopping experiences across physical and digital channels, retailers are compelled to invest in IT solutions that integrate their in-store and online operations. This omnichannel approach not only necessitates substantial investment in digital infrastructure but also in analytics and customer relationship management (CRM) systems to track and enhance the customer journey. Retailers are leveraging these technologies to gather data-driven insights, personalize marketing efforts, and streamline supply chain operations, thus driving the market forward.



    Another significant growth driver is the proliferation of mobile technology and its influence on consumer shopping behavior. With the widespread use of smartphones, consumers are engaging more with mobile apps and platforms for shopping purposes. Retailers are responding by investing heavily in mobile-friendly IT solutions to ensure their platforms are optimized for mobile use, thereby capturing a larger share of the digital retail market. This trend is further bolstered by advancements in payment processing technologies, such as mobile wallets and contactless payments, which are becoming increasingly popular among tech-savvy consumers.



    The emphasis on enhancing supply chain efficiency is also a critical factor fueling growth in IT spending within the retail sector. Retailers are investing in advanced supply chain management solutions to improve inventory management, reduce costs, and increase operational efficiency. Technologies such as IoT, AI, and blockchain are being increasingly adopted to provide real-time insights, automate processes, and ensure transparency across the supply chain. These investments not only help in reducing operational costs but also in improving delivery times and customer satisfaction, thereby providing a competitive edge in the market.



    Regionally, North America and Europe are expected to lead the market due to their advanced technological infrastructure and high consumer spending power. However, the Asia Pacific region, with its rapidly expanding retail sector and increasing digital adoption, is projected to witness the highest growth rate during the forecast period. Emerging markets in Latin America and the Middle East & Africa are also anticipated to contribute significantly to market growth as retailers in these regions begin to adopt modern IT solutions to enhance their competitive stance.



    Component Analysis



    The component segment of IT spending in the retail market can be categorized into hardware, software, and services. Among these, software is expected to account for the largest share, driven by the increasing need for advanced analytics, customer management systems, and e-commerce platforms. Retailers are investing in custom software solutions to enhance their operational efficiency, meet consumer demands, and gain insights from vast amounts of consumer data. Moreover, the software segment is seeing significant innovation, with solutions becoming more sophisticated, scalable, and tailored to meet the specific needs of retailers.



    Hardware, although not as dominant as software, remains a critical component of IT spending. The need for point-of-sale (POS) systems, digital signage, and IoT-enabled devices in physical stores is driving this segment. Retailers are upgrading their hardware infrastructures to support new software solutions and enhance in-store customer experience. As retailers continue to adopt omnichannel strategies, investments in modern hardware solutions that ensure seamless integration between online and offline platforms are expected to rise, contributing to the overall growth of this segment.



    The services segment encompasses consulting, system integration, and managed services and is grow

  9. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System:...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Miscellaneous Store Retailers: Median [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-retail-sales/retail-sales-nowcast-sa-yoy-contribution-payment-system-consumer-spending-credit-card-transactions-miscellaneous-store-retailers-median
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 18, 2023 - Mar 4, 2024
    Area covered
    United States
    Description

    United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Miscellaneous Store Retailers: Median data was reported at 0.045 % in 06 May 2024. This records an increase from the previous number of 0.021 % for 29 Apr 2024. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Miscellaneous Store Retailers: Median data is updated weekly, averaging 0.003 % from Nov 2020 (Median) to 06 May 2024, with 181 observations. The data reached an all-time high of 1.902 % in 28 Nov 2022 and a record low of 0.000 % in 08 Jan 2024. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Miscellaneous Store Retailers: Median data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

  10. Envestnet | Yodlee's De-Identified Retail Sales Data | Row/Aggregate Level |...

    • datarade.ai
    .sql, .txt
    + more versions
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    Envestnet | Yodlee, Envestnet | Yodlee's De-Identified Retail Sales Data | Row/Aggregate Level | USA Consumer Data covering 3600+ corporations | 90M+ Accounts [Dataset]. https://datarade.ai/data-products/envestnet-yodlee-s-de-identified-retail-sales-data-row-ag-envestnet-yodlee
    Explore at:
    .sql, .txtAvailable download formats
    Dataset provided by
    Envestnethttp://envestnet.com/
    Yodlee
    Authors
    Envestnet | Yodlee
    Area covered
    United States of America
    Description

    Envestnet®| Yodlee®'s Retail Sales Data (Aggregate/Row) Panels consist of de-identified, near-real time (T+1) USA credit/debit/ACH transaction level data – offering a wide view of the consumer activity ecosystem. The underlying data is sourced from end users leveraging the aggregation portion of the Envestnet®| Yodlee®'s financial technology platform.

    Envestnet | Yodlee Consumer Panels (Aggregate/Row) include data relating to millions of transactions, including ticket size and merchant location. The dataset includes de-identified credit/debit card and bank transactions (such as a payroll deposit, account transfer, or mortgage payment). Our coverage offers insights into areas such as consumer, TMT, energy, REITs, internet, utilities, ecommerce, MBS, CMBS, equities, credit, commodities, FX, and corporate activity. We apply rigorous data science practices to deliver key KPIs daily that are focused, relevant, and ready to put into production.

    We offer free trials. Our team is available to provide support for loading, validation, sample scripts, or other services you may need to generate insights from our data.

    Investors, corporate researchers, and corporates can use our data to answer some key business questions such as: - How much are consumers spending with specific merchants/brands and how is that changing over time? - Is the share of consumer spend at a specific merchant increasing or decreasing? - How are consumers reacting to new products or services launched by merchants? - For loyal customers, how is the share of spend changing over time? - What is the company’s market share in a region for similar customers? - Is the company’s loyal user base increasing or decreasing? - Is the lifetime customer value increasing or decreasing?

    Additional Use Cases: - Use spending data to analyze sales/revenue broadly (sector-wide) or granular (company-specific). Historically, our tracked consumer spend has correlated above 85% with company-reported data from thousands of firms. Users can sort and filter by many metrics and KPIs, such as sales and transaction growth rates and online or offline transactions, as well as view customer behavior within a geographic market at a state or city level. - Reveal cohort consumer behavior to decipher long-term behavioral consumer spending shifts. Measure market share, wallet share, loyalty, consumer lifetime value, retention, demographics, and more.) - Study the effects of inflation rates via such metrics as increased total spend, ticket size, and number of transactions. - Seek out alpha-generating signals or manage your business strategically with essential, aggregated transaction and spending data analytics.

    Use Cases Categories (Our data provides an innumerable amount of use cases, and we look forward to working with new ones): 1. Market Research: Company Analysis, Company Valuation, Competitive Intelligence, Competitor Analysis, Competitor Analytics, Competitor Insights, Customer Data Enrichment, Customer Data Insights, Customer Data Intelligence, Demand Forecasting, Ecommerce Intelligence, Employee Pay Strategy, Employment Analytics, Job Income Analysis, Job Market Pricing, Marketing, Marketing Data Enrichment, Marketing Intelligence, Marketing Strategy, Payment History Analytics, Price Analysis, Pricing Analytics, Retail, Retail Analytics, Retail Intelligence, Retail POS Data Analysis, and Salary Benchmarking

    1. Investment Research: Financial Services, Hedge Funds, Investing, Mergers & Acquisitions (M&A), Stock Picking, Venture Capital (VC)

    2. Consumer Analysis: Consumer Data Enrichment, Consumer Intelligence

    3. Market Data: AnalyticsB2C Data Enrichment, Bank Data Enrichment, Behavioral Analytics, Benchmarking, Customer Insights, Customer Intelligence, Data Enhancement, Data Enrichment, Data Intelligence, Data Modeling, Ecommerce Analysis, Ecommerce Data Enrichment, Economic Analysis, Financial Data Enrichment, Financial Intelligence, Local Economic Forecasting, Location-based Analytics, Market Analysis, Market Analytics, Market Intelligence, Market Potential Analysis, Market Research, Market Share Analysis, Sales, Sales Data Enrichment, Sales Enablement, Sales Insights, Sales Intelligence, Spending Analytics, Stock Market Predictions, and Trend Analysis

  11. Share of retail in private consumer spending in Germany 2000-2023

    • statista.com
    Updated Jun 27, 2025
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    Statista (2025). Share of retail in private consumer spending in Germany 2000-2023 [Dataset]. https://www.statista.com/statistics/519676/retail-share-in-private-consumer-spend-germany/
    Explore at:
    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Germany
    Description

    In 2023, the retail trade sector had a share of roughly ** percent in private German consumer spending. This graph shows the ratio of German retail revenues and the consumer spending of private German households from 2000 to 2023. Generally, private consumer spending in Germany increased annually since the 1990s.

  12. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System:...

    • ceicdata.com
    Updated Feb 15, 2025
    + more versions
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    CEICdata.com (2025). United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Amusement, Gambling, & Recreation Industries: Median [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-retail-sales/retail-sales-nowcast-sa-yoy-contribution-payment-system-consumer-spending-credit-card-transactions-amusement-gambling--recreation-industries-median
    Explore at:
    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEIC Data
    License

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

    Time period covered
    Dec 18, 2023 - Mar 4, 2024
    Area covered
    United States
    Description

    United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Amusement, Gambling, & Recreation Industries: Median data was reported at 0.013 % in 06 May 2024. This records a decrease from the previous number of 0.035 % for 29 Apr 2024. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Amusement, Gambling, & Recreation Industries: Median data is updated weekly, averaging 0.003 % from Nov 2020 (Median) to 06 May 2024, with 181 observations. The data reached an all-time high of 1.132 % in 09 Jan 2023 and a record low of 0.000 % in 25 Dec 2023. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Amusement, Gambling, & Recreation Industries: Median data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

  13. U

    United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System:...

    • ceicdata.com
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    CEICdata.com, United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Sporting Goods, Hobby, Musical Instruments, & Book: Median [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-retail-sales/retail-sales-nowcast-sa-yoy-contribution-payment-system-consumer-spending-credit-card-transactions-sporting-goods-hobby-musical-instruments--book-median
    Explore at:
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 18, 2023 - Mar 4, 2024
    Area covered
    United States
    Description

    United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Sporting Goods, Hobby, Musical Instruments, & Book: Median data was reported at 0.026 % in 06 May 2024. This records an increase from the previous number of 0.001 % for 29 Apr 2024. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Sporting Goods, Hobby, Musical Instruments, & Book: Median data is updated weekly, averaging 0.001 % from Nov 2020 (Median) to 06 May 2024, with 181 observations. The data reached an all-time high of 27.439 % in 15 Nov 2021 and a record low of 0.000 % in 16 Oct 2023. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Sporting Goods, Hobby, Musical Instruments, & Book: Median data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

  14. Supermarkets and grocery stores consumer spending in the U.S. 2006-2020

    • statista.com
    Updated Oct 15, 2015
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    Statista (2015). Supermarkets and grocery stores consumer spending in the U.S. 2006-2020 [Dataset]. https://www.statista.com/statistics/473814/supermarkets-and-grocery-stores-consumer-spending-in-the-us/
    Explore at:
    Dataset updated
    Oct 15, 2015
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2006 - 2014
    Area covered
    United States
    Description

    This statistic depicts the consumer spending of supermarkets and grocery stores in the U.S. retail industry from 2006 to 2014 and provides a forecast until 2020. In 2015, consumer spending is forecasted to amount to 38.71 billion U.S. dollars.

  15. Small Specialty Retail Stores in the US - Market Research Report (2015-2030)...

    • ibisworld.com
    Updated Apr 17, 2025
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    IBISWorld (2025). Small Specialty Retail Stores in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/small-specialty-retail-stores-industry/
    Explore at:
    Dataset updated
    Apr 17, 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

    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.

  16. U

    United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System:...

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Gasoline Stations: Median [Dataset]. https://www.ceicdata.com/en/united-states/ceic-nowcast-retail-sales/retail-sales-nowcast-sa-yoy-contribution-payment-system-consumer-spending-credit-card-transactions-gasoline-stations-median
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    Dataset updated
    Feb 15, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Dec 18, 2023 - Mar 4, 2024
    Area covered
    United States
    Description

    United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Gasoline Stations: Median data was reported at 2.590 % in 06 May 2024. This records an increase from the previous number of 0.995 % for 29 Apr 2024. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Gasoline Stations: Median data is updated weekly, averaging 0.020 % from Nov 2020 (Median) to 06 May 2024, with 181 observations. The data reached an all-time high of 23.169 % in 31 May 2021 and a record low of 0.000 % in 25 Mar 2024. United States Retail Sales Nowcast: sa: YoY: Contribution: Payment System: Consumer Spending: Credit Card Transactions: Gasoline Stations: Median data remains active status in CEIC and is reported by CEIC Data. The data is categorized under Global Database’s United States – Table US.CEIC.NC: CEIC Nowcast: Retail Sales.

  17. T

    China Retail Sales YoY

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 16, 2025
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    TRADING ECONOMICS (2025). China Retail Sales YoY [Dataset]. https://tradingeconomics.com/china/retail-sales-annual
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    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jun 16, 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
    Jan 31, 1993 - May 31, 2025
    Area covered
    China
    Description

    Retail Sales in China increased 6.40 percent in May of 2025 over the same month in the previous year. This dataset provides - China Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  18. Department Stores Retailing Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Department Stores Retailing Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/department-stores-retailing-market
    Explore at:
    pdf, csv, pptxAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Department Stores Retailing Market Outlook



    The global department stores retailing market size was valued at approximately USD 550 billion in 2023, and it is projected to reach around USD 690 billion by 2032, with a compound annual growth rate (CAGR) of 2.5% during the forecast period. The growth of this market is being driven by several factors including the increasing disposable incomes of consumers worldwide, evolving consumer preferences, and technological advancements in retailing. Furthermore, the resurgence of consumer confidence post-pandemic and the integration of online and offline retail experiences are also contributing significantly to this growth. This seamless integration of multiple shopping channels is enhancing customer experience, thus driving the market forward.



    One of the primary growth factors of the department stores retailing market is the increasing disposable incomes among consumers, particularly in emerging economies. As wages have risen and employment rates have improved, consumers have more financial flexibility to spend on discretionary items available in department stores. This has led to an upsurge in demand for luxury and branded products, which has been capitalized upon by department stores through strategic marketing and stocking of premium items. Additionally, the global trend towards urbanization has brought more consumers within the reach of department stores, further aiding market growth. As urban dwellers often have higher income levels and more varied shopping preferences, department stores are well-positioned to cater to these diverse consumer needs.



    Another significant driver of growth is the technological advancements that have permeated the retail industry. Department stores are increasingly leveraging digital technologies to enhance their operations and customer service capabilities. The adoption of data analytics is allowing these stores to better understand consumer behavior and personalize the shopping experience, while augmented reality (AR) and virtual reality (VR) are being used to create immersive shopping experiences. Furthermore, the integration of mobile payment systems and self-checkout options has improved the convenience of shopping, attracting tech-savvy consumers. These technological integrations not only streamline operations but also improve customer engagement and satisfaction, resulting in higher sales and customer retention.



    The convergence of online and offline retail channels, often termed as 'omnichannel retailing', is another critical factor contributing to the growth of the department stores retailing market. Consumers today expect a seamless shopping experience, whether they are browsing online or shopping in-store. Many department stores have successfully implemented omnichannel strategies that provide customers with a unified shopping experience across various platforms. This includes features like 'buy online, pick up in store' (BOPIS) and tailored marketing communications across all channels. By offering a cohesive experience, department stores are able to attract a wider customer base and enhance customer loyalty, driving further market growth.



    Retail Store Mannequins play a pivotal role in the department stores retailing market by enhancing the visual merchandising strategies employed by these stores. As consumers are often drawn to the aesthetic appeal of a store's display, mannequins serve as a crucial tool in showcasing the latest fashion trends and enticing customers to explore the apparel sections. They help in creating an engaging shopping environment, allowing customers to visualize how garments might look on them, thereby influencing purchasing decisions. With the rise of experiential retailing, the use of mannequins has evolved, with many stores opting for customizable and interactive mannequins that can adapt to different themes and seasons. This innovation not only attracts foot traffic but also enhances the overall shopping experience, making it a vital component in the competitive landscape of department store retailing.



    Product Category Analysis



    The department stores retailing market is segmented into various product categories, including apparel, home goods, electronics, beauty and personal care, among others. Apparel remains one of the most significant product categories for department stores, driven by continuous demand for both formal and casual wear. The growth in this segment is propelled by evolving fashion trends and the increasing influence of social medi

  19. d

    GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business...

    • datarade.ai
    .json, .csv
    Updated Aug 13, 2024
    + more versions
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    GapMaps (2024). GIS Data | USA & Canada | Over 40k Demographics Variables To Inform Business Decisions | Consumer Spending Data| Demographic Data [Dataset]. https://datarade.ai/data-products/gapmaps-premium-demographic-data-by-ags-usa-canada-gis-gapmaps
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    .json, .csvAvailable download formats
    Dataset updated
    Aug 13, 2024
    Dataset authored and provided by
    GapMaps
    Area covered
    Canada, United States
    Description

    GapMaps GIS data for USA and Canada sourced from Applied Geographic Solutions (AGS) includes an extensive range of the highest quality demographic and lifestyle segmentation products. All databases are derived from superior source data and the most sophisticated, refined, and proven methodologies.

    GIS Data attributes include:

    1. Latest Estimates and Projections The estimates and projections database includes a wide range of core demographic data variables for the current year and 5- year projections, covering five broad topic areas: population, households, income, labor force, and dwellings.

    2. Crime Risk Crime Risk is the result of an extensive analysis of a rolling seven years of FBI crime statistics. Based on detailed modeling of the relationships between crime and demographics, Crime Risk provides an accurate view of the relative risk of specific crime types (personal, property and total) at the block and block group level.

    3. Panorama Segmentation AGS has created a segmentation system for the United States called Panorama. Panorama has been coded with the MRI Survey data to bring you Consumer Behavior profiles associated with this segmentation system.

    4. Business Counts Business Counts is a geographic summary database of business establishments, employment, occupation and retail sales.

    5. Non-Resident Population The AGS non-resident population estimates utilize a wide range of data sources to model the factors which drive tourists to particular locations, and to match that demand with the supply of available accommodations.

    6. Consumer Expenditures AGS provides current year and 5-year projected expenditures for over 390 individual categories that collectively cover almost 95% of household spending.

    7. Retail Potential This tabulation utilizes the Census of Retail Trade tables which cross-tabulate store type by merchandise line.

    8. Environmental Risk The environmental suite of data consists of several separate database components including: -Weather Risks -Seismological Risks -Wildfire Risk -Climate -Air Quality -Elevation and terrain

    Primary Use Cases for GapMaps GIS Data:

    1. Retail (eg. Fast Food/ QSR, Cafe, Fitness, Supermarket/Grocery)
    2. Customer Profiling: get a detailed understanding of the demographic & segmentation profile of your customers, where they work and their spending potential
    3. Analyse your trade areas at a granular census block level using all the key metrics
    4. Site Selection: Identify optimal locations for future expansion and benchmark performance across existing locations.
    5. Target Marketing: Develop effective marketing strategies to acquire more customers.
    6. Integrate AGS demographic data with your existing GIS or BI platform to generate powerful visualizations.

    7. Finance / Insurance (eg. Hedge Funds, Investment Advisors, Investment Research, REITs, Private Equity, VC)

    8. Network Planning

    9. Customer (Risk) Profiling for insurance/loan approvals

    10. Target Marketing

    11. Competitive Analysis

    12. Market Optimization

    13. Commercial Real-Estate (Brokers, Developers, Investors, Single & Multi-tenant O/O)

    14. Tenant Recruitment

    15. Target Marketing

    16. Market Potential / Gap Analysis

    17. Marketing / Advertising (Billboards/OOH, Marketing Agencies, Indoor Screens)

    18. Customer Profiling

    19. Target Marketing

    20. Market Share Analysis

  20. Organized Retail Market Report | Global Forecast From 2025 To 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Organized Retail Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/organized-retail-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Organized Retail Market Outlook



    The global organized retail market size was valued at approximately USD 3.2 trillion in 2023, and it is projected to reach around USD 5.8 trillion by 2032, growing at a Compound Annual Growth Rate (CAGR) of 6.8% during the forecast period. This substantial growth is primarily driven by the increasing consumer preference for a seamless shopping experience, both online and offline, as well as the rising disposable incomes and urbanization in emerging markets.



    A significant growth factor in the organized retail market is the rapid urbanization and the expansion of the middle class in developing economies. With more people moving to urban areas, there is a growing demand for convenient and accessible shopping options, which has led to the proliferation of organized retail formats such as hypermarkets and supermarkets. Moreover, the rising middle class with higher disposable incomes is more inclined towards branded products and a better shopping experience, thereby boosting the organized retail sector.



    Technological advancements have also played a crucial role in the growth of the organized retail market. The integration of advanced technologies such as Artificial Intelligence (AI), the Internet of Things (IoT), and big data analytics has enabled retailers to streamline their operations, enhance customer experience, and optimize inventory management. For instance, AI-powered chatbots and personalized recommendation systems have significantly improved customer engagement and satisfaction. Furthermore, the adoption of omnichannel strategies, which blend online and offline shopping experiences, has become a key trend among retailers to cater to the evolving consumer preferences.



    The increasing penetration of smartphones and internet connectivity has revolutionized the retail industry, leading to the rise of e-commerce and m-commerce platforms. Consumers now have the convenience of shopping from anywhere and at any time, which has driven the growth of the organized retail market. Additionally, the COVID-19 pandemic has accelerated the shift towards online shopping, with many traditional retailers expanding their digital presence to survive and thrive in the new normal. This digital transformation has opened new avenues for growth and innovation in the organized retail sector.



    The Energy Downstream Retail Sector is an integral part of the organized retail market, playing a pivotal role in the distribution and sale of energy products to consumers. This sector includes the operation of fuel stations, convenience stores, and other retail outlets that provide essential energy products such as gasoline, diesel, and lubricants. As urbanization and mobility increase, the demand for energy retail services is expected to rise, driving growth in this sector. Retailers in the energy downstream sector are increasingly adopting advanced technologies to enhance customer experience, such as mobile payment solutions and loyalty programs. Furthermore, the shift towards sustainable energy sources and electric vehicle charging infrastructure presents new opportunities for innovation and expansion in the energy downstream retail sector.



    Regionally, Asia Pacific dominates the organized retail market, accounting for a significant share of the global market. The region's robust economic growth, rising middle-class population, and increasing urbanization are key factors driving the demand for organized retail. North America and Europe are also major markets, driven by high consumer spending and advanced retail infrastructure. Latin America and the Middle East & Africa are emerging markets with immense growth potential, supported by improving economic conditions and a growing young population.



    Retail Format Analysis



    Within the organized retail market, the retail format segment is categorized into hypermarkets, supermarkets, specialty stores, department stores, and others. Hypermarkets and supermarkets represent the largest share of the market, owing to their wide product assortment, competitive pricing, and convenient locations. These large-scale retail formats offer a one-stop shopping experience, attracting a significant number of consumers. Furthermore, the increasing number of hypermarket and supermarket chains in emerging economies is expected to drive the growth of this segment.



    Specialty stores focus on specific product categories such as electronics, apparel, and home furni

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TRADING ECONOMICS (2025). US Retail Sales [Dataset]. https://tradingeconomics.com/united-states/retail-sales

US Retail Sales

US Retail Sales - Historical Dataset (1992-02-29/2025-05-31)

Explore at:
csv, xml, excel, jsonAvailable download formats
Dataset updated
Jun 17, 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 - May 31, 2025
Area covered
United States
Description

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.

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