100+ datasets found
  1. T

    US Retail Sales

    • tradingeconomics.com
    • zh.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 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
    Jul 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 - Jun 30, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States increased 0.60 percent in June 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. Global retail e-commerce sales 2022-2028

    • statista.com
    Updated Jun 24, 2025
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    Statista (2025). Global retail e-commerce sales 2022-2028 [Dataset]. https://www.statista.com/statistics/379046/worldwide-retail-e-commerce-sales/
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    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Feb 2025
    Area covered
    Worldwide
    Description

    In 2024, global retail e-commerce sales reached an estimated ************ U.S. dollars. Projections indicate a ** percent growth in this figure over the coming years, with expectations to come close to ************** dollars by 2028. World players Among the key players on the world stage, the American marketplace giant Amazon holds the title of the largest e-commerce player globally, with a gross merchandise value of nearly *********** U.S. dollars in 2024. Amazon was also the most valuable retail brand globally, followed by mostly American competitors such as Walmart and the Home Depot. Leading e-tailing regions E-commerce is a dormant channel globally, but nowhere has it been as successful as in Asia. In 2024, the e-commerce revenue in that continent alone was measured at nearly ************ U.S. dollars, outperforming the Americas and Europe. That year, the up-and-coming e-commerce markets also centered around Asia. The Philippines and India stood out as the swiftest-growing e-commerce markets based on online sales, anticipating a growth rate surpassing ** percent.

  3. T

    United States Retail Sales YoY

    • tradingeconomics.com
    • pt.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, United States Retail Sales YoY [Dataset]. https://tradingeconomics.com/united-states/retail-sales-annual
    Explore at:
    json, xml, csv, excelAvailable 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
    Jan 31, 1993 - Jun 30, 2025
    Area covered
    United States
    Description

    Retail Sales in the United States increased 3.90 percent in June 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.

  4. Online retail sales in the United Kingdom (UK) 2012-2022

    • statista.com
    • ai-chatbox.pro
    Updated Jun 24, 2025
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    Statista (2025). Online retail sales in the United Kingdom (UK) 2012-2022 [Dataset]. https://www.statista.com/statistics/315506/online-retail-sales-in-the-united-kingdom/
    Explore at:
    Dataset updated
    Jun 24, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United Kingdom
    Description

    Online retail in the United Kingdom has been gaining ground in the past decade. With the onset of the coronavirus (COVID-19) crisis, the value of online retail sales in the United Kingdom is estimated to reach just below *** billion British pounds in 2021. In 2022, the figure decreased to *** billion British pounds. What ranks high in UK e-commerce? In the United Kingdom, clothing and household goods were the most popular retail items consumers purchased through the internet in 2020. Data published by the Office for National Statistics (UK) showed that other leisure activities and services such as booking holiday accommodations, travel arrangements and event tickets were other areas consumers depended on the internet to buy. German e-commerce market The UK might have the highest share of online sales in retail trade, but other European countries such as Germany and France have had impressive track records over the years as well. According to the forecasts provided by German E-commerce and Distance Selling Trade Association (bevh), the market volume of Germany’s e-commerce sector was projected to see over ** billion euros in 2021.

  5. T

    United States Existing Home Sales

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +12more
    csv, excel, json, xml
    Updated May 22, 2025
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    TRADING ECONOMICS (2025). United States Existing Home Sales [Dataset]. https://tradingeconomics.com/united-states/existing-home-sales
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    csv, json, xml, excelAvailable download formats
    Dataset updated
    May 22, 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, 1968 - May 31, 2025
    Area covered
    United States
    Description

    Existing Home Sales in the United States increased to 4030 Thousand in May from 4000 Thousand in April of 2025. This dataset provides the latest reported value for - United States Existing Home Sales - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  6. Monthly retail sales volume index in Great Britain 2015-2025

    • statista.com
    • ai-chatbox.pro
    Updated Feb 13, 2025
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    Statista (2025). Monthly retail sales volume index in Great Britain 2015-2025 [Dataset]. https://www.statista.com/statistics/280377/retail-sales-volume-monthly-index-in-great-britain/
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    Dataset updated
    Feb 13, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Jan 2015 - Jan 2025
    Area covered
    United Kingdom
    Description

    This statistic shows the trend in the volume of sales (quantity bought) across all retailing sectors in Great Britain monthly from January 2017 to January 2025. Retail sales volumes have generally increased until April 2021, except during the first months of 2020, when a low index value of 77 was reached in April 2020, and again in the beginning of 2021. After April 2021, retail sales volume started to have a decreasing trend. As of December 2025, volume of retail sales was measured at an index level of 97.5. The figures are seasonally adjusted estimates, measured using the Retail Sales Index (RSI) and published in index form with a reference year of 2019 equal to 100.

  7. BigMart Sales Data

    • kaggle.com
    Updated Sep 7, 2021
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    Abhishek Kumar (2021). BigMart Sales Data [Dataset]. https://www.kaggle.com/datasets/uniabhi/bigmart-sales-data
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Sep 7, 2021
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Abhishek Kumar
    License

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

    Description

    The data scientists at BigMart have collected 2013 sales data for 1559 products across 10 stores in different cities. Also, certain attributes of each product and store have been defined. The aim is to build a predictive model and find out the sales of each product at a particular store.

    We can separate this process into four levels: Product level, Store level, Customer level, and Macro level.

    Store Level Hypotheses:

    1. City type: Stores located in urban or Tier 1 cities should have higher sales because of the higher income levels of people there.
    2. Population Density: Stores located in densely populated areas should have higher sales because of more demand.
    3. Store Capacity: Stores which are very big in size should have higher sales as they act like one-stop-shops and people would prefer getting everything from one place
    4. Competitors: Stores having similar establishments nearby should have less sales because of more competition.
    5. Marketing: Stores which have a good marketing division should have higher sales as it will be able to attract customers through the right offers and advertising.
    6. Location: Stores located within popular marketplaces should have higher sales because of better access to customers.
    7. Customer Behavior: Stores keeping the right set of products to meet the local needs of customers will have higher sales.
    8. Ambiance: Stores which are well-maintained and managed by polite and humble people are expected to have higher footfall and thus higher sales.

    Product Level Hypotheses:

    1. Brand: Branded products should have higher sales because of higher trust in the customer.
    2. Packaging: Products with good packaging can attract customers and sell more.
    3. Utility: Daily use products should have a higher tendency to sell as compared to the specific use products.
    4. Display Area: Products which are given bigger shelves in the store are likely to catch attention first and sell more.
    5. Visibility in Store: The location of product in a store will impact sales. Ones which are right at entrance will catch the eye of customer first rather than the ones in back.
    6. Advertising: Better advertising of products in the store will should higher sales in most cases.
    7. Promotional Offers: Products accompanied with attractive offers and discounts will sell more.
  8. T

    China Retail Sales YoY

    • tradingeconomics.com
    • ar.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jul 15, 2025
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    TRADING ECONOMICS (2025). China Retail Sales YoY [Dataset]. https://tradingeconomics.com/china/retail-sales-annual
    Explore at:
    xml, json, excel, csvAvailable download formats
    Dataset updated
    Jul 15, 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 - Jun 30, 2025
    Area covered
    China
    Description

    Retail Sales in China increased 4.80 percent in June 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.

  9. Online Sales Data Power BI Dashboard

    • kaggle.com
    Updated Aug 20, 2024
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    manjeshkumar05 (2024). Online Sales Data Power BI Dashboard [Dataset]. https://www.kaggle.com/datasets/manjeshkumar05/online-sales-data-power-bi-dashboard
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Aug 20, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    manjeshkumar05
    License

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

    Description

    Exploring Online Sales Data with Power BI !!

    Another productive day diving into online sales dataset! Here’s a roundup of the insights I uncovered today:

    Revenue by Category: Analyzed revenue distribution across different product categories to identify high-performing sectors.

    Revenue by Sub-Category: Drilled down into sub-categories for a more granular view of revenue streams.

    Revenue by Payment Mode: Examined revenue patterns based on payment methods to understand customer preferences.

    Revenue by State: Mapped out revenue by state to pinpoint geographical strengths and opportunities.

    Profit by Category: Evaluated profitability across product categories to assess which categories yield the highest profit margins.

    Profit by Sub-Category: Explored profit levels at a sub-category level to identify the most profitable segments.

    Profit by Payment Mode: Analyzed profit distribution across different payment methods.

    Top 5 States by Revenue and Profit: Highlighted the top 5 states driving the most revenue and profit, offering insights into regional performance.

    Sales Map by State: Visualized sales data on a map to provide a geographical perspective on sales distribution.

    Total Quantity, Revenue, and Profit: Aggregated data to give an overview of total quantities sold, overall revenue, and total profit.

    Filter by Category: Added a filter functionality to focus on specific categories and refine data analysis.

  10. United States Retail Sales Growth

    • ceicdata.com
    Updated Feb 15, 2020
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    CEICdata.com (2020). United States Retail Sales Growth [Dataset]. https://www.ceicdata.com/en/indicator/united-states/retail-sales-growth
    Explore at:
    Dataset updated
    Feb 15, 2020
    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
    Jun 1, 2022 - May 1, 2023
    Area covered
    United States
    Description

    Key information about United States Retail Sales Growth

    • United States Retail Sales grew 1.0 % YoY in May 2023, compared with a 1.6 % increase in the previous month.
    • US Retail Sales Growth YoY data is updated monthly, available from Jan 1993 to May 2023, with an average growth rate of 4.7 %.
    • The data reached an all-time high of 42.0 % in Apr 2021 and a record low of -15.8 % in Apr 2020.
    • In the latest reports, Car Sales of US recorded 1,407,152.0 units in May 2023, representing a growth of 22.8 %.

    CEIC calculates monthly Retail Sales: Excl. Motor Vehicles Growth from monthly Retail Sales excluding Motor Vehicle and Parts. The U.S. Census Bureau provides Retail Sales excluding Motor Vehicle and Parts in USD. Retail Sales include Food Services.

  11. T

    Brazil Retail Sales YoY

    • tradingeconomics.com
    • tr.tradingeconomics.com
    • +13more
    csv, excel, json, xml
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    TRADING ECONOMICS, Brazil Retail Sales YoY [Dataset]. https://tradingeconomics.com/brazil/retail-sales-annual
    Explore at:
    xml, csv, excel, jsonAvailable 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
    Jan 31, 2001 - May 31, 2025
    Area covered
    Brazil
    Description

    Retail Sales in Brazil increased 2.10 percent in May of 2025 over the same month in the previous year. This dataset provides - Brazil Retail Sales YoY - actual values, historical data, forecast, chart, statistics, economic calendar and news.

  12. The global sales performance management market size is USD 2451.6 million in...

    • cognitivemarketresearch.com
    pdf,excel,csv,ppt
    Updated Apr 13, 2025
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    Cognitive Market Research (2025). The global sales performance management market size is USD 2451.6 million in 2024. [Dataset]. https://www.cognitivemarketresearch.com/sales-performance-management-market-report
    Explore at:
    pdf,excel,csv,pptAvailable download formats
    Dataset updated
    Apr 13, 2025
    Dataset authored and provided by
    Cognitive Market Research
    License

    https://www.cognitivemarketresearch.com/privacy-policyhttps://www.cognitivemarketresearch.com/privacy-policy

    Time period covered
    2021 - 2033
    Area covered
    Global
    Description

    According to Cognitive Market Research, the global Sales Performance Management market size will be USD 2451.6 million in 2024. It will expand at a compound annual growth rate (CAGR) of 18.00% from 2024 to 2031.

    North America held the major market share for more than 40% of the global revenue with a market size of USD 980.64 million in 2024 and will grow at a compound annual growth rate (CAGR) of 16.2% from 2024 to 2031.
    Europe accounted for a market share of over 30% of the global revenue with a market size of USD 735.48 million.
    Asia Pacific held a market share of around 23% of the global revenue with a market size of USD 563.87 million in 2024 and will grow at a compound annual growth rate (CAGR) of 20.0% from 2024 to 2031.
    Latin America had a market share of more than 5% of the global revenue with a market size of USD 122.58 million in 2024 and will grow at a compound annual growth rate (CAGR) of 17.4% from 2024 to 2031.
    Middle East and Africa had a market share of around 2% of the global revenue and was estimated at a market size of USD 49.03 million in 2024 and will grow at a compound annual growth rate (CAGR) of 17.7% from 2024 to 2031.
    The solutions segment held the highest Sales Performance Management market revenue share in 2024.
    

    Market Dynamics of Sales Performance Management Market

    Key Drivers for Sales Performance Management Market

    Increasing complexity of sales processes across various industries

    Sales processes have become increasingly intricate due to the diversification of products and services, global market expansion, and the integration of advanced technologies. Companies now deal with multi-channel sales, diverse customer touchpoints, and complex sales strategies that require sophisticated management solutions. This complexity necessitates robust Sales Performance Management (SPM) systems that can handle intricate workflows, manage large volumes of data, and support diverse sales operations. Organizations need to streamline and optimize these processes to maintain competitiveness and ensure effective sales strategies. As industries evolve, the demand for adaptable and comprehensive SPM solutions grows to address these complex needs efficiently.

    Need for real-time reporting and performance tracking to improve decision-making.

    Real-time reporting and performance tracking have become essential for making informed business decisions. In a fast-paced market environment, the ability to access up-to-date sales data and performance metrics enables organizations to respond quickly to market changes, identify trends, and adjust strategies accordingly. Real-time insights help in monitoring sales performance, evaluating the effectiveness of sales initiatives, and making immediate adjustments to optimize outcomes. This capability is crucial for enhancing agility, improving operational efficiency, and driving better sales results. The growing emphasis on data-driven decision-making fuels the demand for advanced SPM systems that offer real-time reporting and performance analytics.

    Restraint Factor for the Sales Performance Management Market

    High implementation and maintenance costs for advanced sales performance management systems

    High implementation and maintenance costs for advanced Sales Performance Management (SPM) systems present a significant barrier for many organizations. These systems often require substantial financial investment for initial setup, including software purchase, customization, and integration with existing IT infrastructure. Additionally, ongoing costs such as system maintenance, updates, and technical support can add to the overall expenditure. Smaller businesses and those with limited budgets may find it challenging to justify these costs, which can impact their ability to invest in advanced SPM solutions. Despite the potential benefits, the financial burden associated with deploying and maintaining sophisticated SPM systems can be a major obstacle, particularly for organizations with constrained resources.

    Impact of Covid-19 on the Sales Performance Management Market

    The COVID-19 pandemic significantly impacted the Sales Performance Management (SPM) market by accelerating the adoption of digital and remote solutions. With many businesses shifting to remote work and facing economic uncertainties, there was an increased demand for cloud-based SPM systems that offer flexibility, scalability, and real-time access from various lo...

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

    • statista.com
    Updated Jul 4, 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
    Jul 4, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In the first quarter 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.

  14. Germany Retail Sales Volume Index

    • ceicdata.com
    Updated Nov 14, 2024
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    CEICdata.com (2024). Germany Retail Sales Volume Index [Dataset]. https://www.ceicdata.com/en/germany/retail-sales-volume-annual
    Explore at:
    Dataset updated
    Nov 14, 2024
    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 1, 2013 - Dec 1, 2024
    Area covered
    Germany
    Description

    Retail Sales Volume Index data was reported at 98.474 2010=100 in 2024. This records an increase from the previous number of 97.536 2010=100 for 2023. Retail Sales Volume Index data is updated yearly, averaging 97.917 2010=100 from Dec 1987 (Median) to 2024, with 38 observations. The data reached an all-time high of 112.578 2010=100 in 2008 and a record low of 69.875 2010=100 in 2001. Retail Sales Volume Index data remains active status in CEIC and is reported by World Bank. The data is categorized under Global Database’s Germany – Table DE.World Bank.GEM: Retail Sales Volume: Annual.

  15. China CN: Others: Taobao and Tmall Online Sales: Volume

    • ceicdata.com
    Updated Feb 15, 2025
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    CEICdata.com (2025). China CN: Others: Taobao and Tmall Online Sales: Volume [Dataset]. https://www.ceicdata.com/en/china/taobao-and-tmall-online-sales-by-category/cn-others-taobao-and-tmall-online-sales-volume
    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
    Feb 1, 2024 - Jan 1, 2025
    Area covered
    China
    Variables measured
    Domestic Trade
    Description

    China Others: Taobao and Tmall Online Sales: Volume data was reported at 883.456 Unit mn in Mar 2025. This records an increase from the previous number of 590.697 Unit mn for Feb 2025. China Others: Taobao and Tmall Online Sales: Volume data is updated monthly, averaging 1,319.283 Unit mn from Jan 2019 (Median) to Mar 2025, with 75 observations. The data reached an all-time high of 2,248.884 Unit mn in Nov 2020 and a record low of 557.818 Unit mn in Apr 2022. China Others: Taobao and Tmall Online Sales: Volume data remains active status in CEIC and is reported by CEIC Data. The data is categorized under China Premium Database’s Consumer Goods and Services – Table CN.HTB: Taobao and Tmall Online Sales: By Category.

  16. D

    Duty-Free and Travel Retail Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Duty-Free and Travel Retail Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/duty-free-and-travel-retail-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Jan 7, 2025
    Authors
    Dataintelo
    License

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

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Duty-Free and Travel Retail Market Outlook



    The global Duty-Free and Travel Retail market size was valued at approximately $85 billion in 2023 and is projected to reach around $135 billion by 2032, growing at a compound annual growth rate (CAGR) of 5%. This significant growth is driven primarily by the increasing number of international travelers and tourists, coupled with rising disposable incomes across emerging markets. The favorable regulatory environment and the expansion of airport infrastructure further fuel the marketÂ’s expansion. The growth trajectory is supported by strategic alliances and partnerships among market players, aiming to enhance customer experiences through innovative retail solutions and attractive pricing strategies.



    One of the primary growth factors of the Duty-Free and Travel Retail market is the escalating number of international tourists and business travelers. With globalization and the proliferation of low-cost airlines, more people are traveling overseas, leading to a higher demand for duty-free products, which are exempt from local import duties and taxes. This trend is particularly evident in rapidly growing economies within the Asia Pacific region, where a burgeoning middle class is increasingly traveling abroad. In addition to international travel, domestic tourism in large markets like China and India is also contributing significantly to the demand for duty-free and travel retail products.



    The evolution of consumer preferences and lifestyles also significantly propels the market. Modern consumers, driven by the desire for unique experiences and premium products, opt to purchase high-end goods at duty-free outlets, where the pricing is more attractive due to the tax exemptions. The market is capitalizing on these trends by offering a diverse range of products including perfumes, cosmetics, alcohol, and luxury fashion items. Additionally, the rise of digital technology and social media influences consumer purchasing decisions, prompting retailers to enhance their presence through online platforms to reach a broader audience and deliver personalized shopping experiences.



    Innovative retail formats and enhanced customer engagement strategies also underpin market growth. Duty-Free and Travel Retail operators are constantly innovating with store designs and digital interfaces to engage tech-savvy travelers. The adoption of advanced technologies, such as artificial intelligence and augmented reality, in retail settings provides immersive shopping experiences that attract more customers. Moreover, the use of data analytics enables retailers to understand consumer behavior better and tailor offerings to meet specific demands, which is proving essential in maintaining competitiveness in the dynamic retail environment.



    Duty Free Cigarette sales have become a significant component of the duty-free market, particularly in regions with high volumes of international travelers. These products are especially popular due to the substantial savings they offer compared to domestic prices, as they are exempt from local taxes and duties. Retailers strategically position cigarette offerings in high-traffic areas within airports and border shops to capture the attention of travelers. Despite the regulatory challenges and health concerns associated with tobacco products, the demand remains strong, driven by consumer preferences for premium and international brands. Retailers have adapted by offering a wide range of options, including limited editions and exclusive travel packs, to cater to diverse consumer tastes. The segment's growth is further supported by innovative merchandising strategies and the expansion of duty-free zones, which facilitate increased sales volumes.



    Regionally, the Asia Pacific market is the largest and fastest-growing in the Duty-Free and Travel Retail sector, driven by robust tourism activities and the strengthening economies of countries like China, India, and South Korea. The region's market is expected to witness a CAGR of 6%, owing to increased investments in airport infrastructure and supportive government policies aimed at boosting tourism. Meanwhile, North America and Europe remain significant markets due to established airport networks and a high volume of international travel, though their growth rates are modest compared to the Asia Pacific region. The Middle East & Africa and Latin America are expected to experience steady growth, supported by increasing tourism and retail developments.



    Product Type Analysis

    <br

  17. Mexico BTS: Mfg: Actual Sales Volume: Greater

    • ceicdata.com
    Updated Jan 15, 2025
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    CEICdata.com (2025). Mexico BTS: Mfg: Actual Sales Volume: Greater [Dataset]. https://www.ceicdata.com/en/mexico/business-tendency-survey/bts-mfg-actual-sales-volume-greater
    Explore at:
    Dataset updated
    Jan 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
    Mar 1, 2018 - Feb 1, 2019
    Area covered
    Mexico
    Variables measured
    Business Tendency Survey
    Description

    Mexico BTS: Mfg: Actual Sales Volume: Greater data was reported at 12.690 % in Feb 2019. This records a decrease from the previous number of 18.590 % for Jan 2019. Mexico BTS: Mfg: Actual Sales Volume: Greater data is updated monthly, averaging 22.940 % from Jan 1998 (Median) to Feb 2019, with 254 observations. The data reached an all-time high of 39.780 % in Mar 2017 and a record low of 10.110 % in Nov 2008. Mexico BTS: Mfg: Actual Sales Volume: Greater data remains active status in CEIC and is reported by Bank of Mexico. The data is categorized under Global Database’s Mexico – Table MX.S003: Business Tendency Survey.

  18. T

    United Kingdom Retail Sales MoM

    • tradingeconomics.com
    • de.tradingeconomics.com
    • +13more
    csv, excel, json, xml
    Updated Jun 20, 2025
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    TRADING ECONOMICS (2025). United Kingdom Retail Sales MoM [Dataset]. https://tradingeconomics.com/united-kingdom/retail-sales
    Explore at:
    json, xml, excel, csvAvailable download formats
    Dataset updated
    Jun 20, 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, 1996 - May 31, 2025
    Area covered
    United Kingdom
    Description

    Retail Sales in the United Kingdom decreased 2.70 percent in May of 2025 over the previous month. This dataset provides the latest reported value for - United Kingdom Retail Sales MoM - plus previous releases, historical high and low, short-term forecast and long-term prediction, economic calendar, survey consensus and news.

  19. US Retail Sales Data from 1992 to 2024

    • kaggle.com
    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/data
    Explore at:
    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Nov 20, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    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.
  20. U.S. Outsourced Sales Services Market Size By Business Size (Small...

    • verifiedmarketresearch.com
    Updated Jul 15, 2024
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    VERIFIED MARKET RESEARCH (2024). U.S. Outsourced Sales Services Market Size By Business Size (Small businesses, Medium-sized businesses, and Large businesses), By Application (Service Industry, E-Commerce Industry, Manufacture Industry), By Geographic Scope And Forecast [Dataset]. https://www.verifiedmarketresearch.com/product/u-s-outsourced-sales-services-market/
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    Dataset updated
    Jul 15, 2024
    Dataset provided by
    Verified Market Researchhttps://www.verifiedmarketresearch.com/
    Authors
    VERIFIED MARKET RESEARCH
    License

    https://www.verifiedmarketresearch.com/privacy-policy/https://www.verifiedmarketresearch.com/privacy-policy/

    Time period covered
    2024 - 2031
    Area covered
    Global
    Description

    U.S. Outsourced Sales Services Market size was valued at USD 1209.11 Million in 2024 and is projected to reach USD 1971.25 Million by 2031, growing at a CAGR of 6.95% during the forecast period 2024-2031.

    U.S. Outsourced Sales Services Market Drivers

    Cost Efficiency: Outsourcing sales services can be more cost-effective than maintaining an in-house sales team. It reduces the need for recruitment, training, salaries, and benefits, allowing companies to allocate resources to other core business functions.

    Access to Expertise: Outsourced sales service providers bring specialized knowledge and expertise. They have experienced sales professionals who are skilled in various sales techniques, industry trends, and customer relationship management, ensuring a higher quality of sales operations.

    Scalability: Businesses can easily scale their sales efforts up or down based on market demand without the complexities involved in hiring or laying off staff. This flexibility helps companies manage seasonal fluctuations and market expansions more effectively.

    Focus on Core Competencies: By outsourcing sales functions, companies can concentrate on their core competencies, such as product development, operations, and customer service. This focus can lead to better overall business performance and growth.

    Speed to Market: Outsourced sales teams can quickly adapt to new markets, launch products, or respond to competitive pressures. Their established processes and networks allow for a faster go-to-market strategy compared to building an in-house team from scratch.

    Advanced Technology and Tools: Many outsourced sales providers invest in the latest sales technologies, such as CRM systems, sales automation tools, and analytics platforms. Access to these tools enhances sales efficiency and provides deeper insights into sales performance.

    Enhanced Customer Reach: Outsourced sales services often have established relationships and networks that can help companies penetrate new markets or reach previously untapped customer segments. This expanded reach can drive revenue growth.

    Improved Sales Performance: Professional sales outsourcing firms typically operate on performance-based contracts, incentivizing them to deliver results. This model ensures a high level of commitment to achieving sales targets and improving overall sales performance.

    Market Intelligence: Outsourced sales providers offer valuable market intelligence, including insights into customer behavior, market trends, and competitive analysis. This information can inform strategic decisions and help companies stay ahead of the competition.

    Risk Mitigation: Outsourcing sales functions can reduce business risks associated with market entry, expansion, and fluctuating sales volumes. Providers bring experience in managing various sales challenges, helping companies navigate potential pitfalls.

Share
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Email
Click to copy link
Link copied
Close
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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 (1992-02-29/2025-06-30)

Explore at:
csv, xml, excel, jsonAvailable download formats
Dataset updated
Jul 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 - Jun 30, 2025
Area covered
United States
Description

Retail Sales in the United States increased 0.60 percent in June 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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