100+ datasets found
  1. b

    Best Buy Dataset

    • brightdata.com
    .json, .csv, .xlsx
    Updated Dec 23, 2024
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    Bright Data (2024). Best Buy Dataset [Dataset]. https://brightdata.com/products/datasets/best-buy
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    .json, .csv, .xlsxAvailable download formats
    Dataset updated
    Dec 23, 2024
    Dataset authored and provided by
    Bright Data
    License

    https://brightdata.com/licensehttps://brightdata.com/license

    Area covered
    Worldwide
    Description

    Use our Best Buy products to collect ratings, prices, and descriptions about products from an e-commerce online web. You can purchase either the entire dataset or a customized subset, depending on your requirements. The Best Buy Products Dataset stands as a comprehensive resource for businesses, researchers, and analysts aiming to navigate the vast array of products offered by Best Buy, a leading retailer in consumer electronics and technology. Tailored to provide a deep understanding of Best Buy's e-commerce ecosystem, this dataset facilitates market analysis, pricing optimization, customer behavior comprehension, and competitor assessment. At its core, the dataset encompasses essential attributes such as product ID, title, descriptions, ratings, reviews, pricing details, and seller information. These fundamental data elements empower users to glean insights into product performance, customer sentiment, and seller credibility, thereby facilitating informed decision-making processes. Whether you're a retailer looking to enhance your product portfolio, a researcher investigating trends in consumer electronics, or an analyst seeking to refine e-commerce strategies, the Best Buy Products Dataset offers a valuable resource for uncovering opportunities and driving success in the ever-evolving landscape of retail.

  2. Overall and online comparable sales growth of Best Buy 2018-2024

    • statista.com
    Updated Jun 26, 2025
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    Statista (2025). Overall and online comparable sales growth of Best Buy 2018-2024 [Dataset]. https://www.statista.com/statistics/1124265/comparable-sales-growth-best-buy-online-overall/
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    Dataset updated
    Jun 26, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Best Buy’s sales growth has decreased the last fiscal year, from **** in FY 2023 to *** in FY 2024. The growth in Best Buy’s sales is mainly driven by online/e-commerce sales with the segment seeing ***** percent comparable online sales growth in FY 2021, up from the ** percent in FY 2020. Best Buy’s rising online sales     The strong growth of Best Buy’s e-commerce sales in the last few years has led to an increase in the segment’s share of the company’s overall revenue. In the most recent financial year online sales made up about ** percent of Best Buy’s revenue, a share that the company is looking to increase further in the upcoming years with the goal of gaining a higher overall market share in the U.S. e-commerce market. Today Best Buy still generates the majority of its sales from brick and mortar store sales. Best Buy stores    With over 1,000 stores in operation throughout the United States, the country is home to the majority of Best Buy stores. In line with the general decline in international stores over time , the number of Best Buy’s domestic stores has decreased, as well as their overall square footage of outlets. Closures of Best Buy’s Mobile stand-alone stores have also contributed to the company’s decreasing store count.

  3. e-Buy Awards Parent

    • catalog.data.gov
    • datasets.ai
    • +1more
    Updated Nov 10, 2020
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    General Services Administration (2020). e-Buy Awards Parent [Dataset]. https://catalog.data.gov/dataset/e-buy-awards-parent
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    Dataset updated
    Nov 10, 2020
    Dataset provided by
    General Services Administrationhttp://www.gsa.gov/
    Description

    This is the Parent folder for GSA e-Buy Fiscal Year information, e-Buy is an electronic Request for Quote (RFQ) / Request for Proposal (RFP) system designed to allow government buyers to request information, find sources, and prepare RFQs/RFPs, online, for millions of services and products offered through GSA's Multiple Award Schedule (MAS) and GSA Technology Contracts.

  4. Consumer's Buying Behavior

    • kaggle.com
    Updated Apr 17, 2024
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    Nitish Jolly (2024). Consumer's Buying Behavior [Dataset]. https://www.kaggle.com/datasets/nitishjolly/consumers-buying-behavior
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    Apr 17, 2024
    Dataset provided by
    Kagglehttp://kaggle.com/
    Authors
    Nitish Jolly
    License

    MIT Licensehttps://opensource.org/licenses/MIT
    License information was derived automatically

    Description

    Consumer's Buying Behavior Dataset

    https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F16551504%2F2b65e55bf9fec4123786767250fca1fc%2FScreenshot%20(372).png?generation=1713321050423421&alt=media" alt="">

    Additional Information This dataset can be used to analyze the relationship between age, estimated salary, and purchase behavior in response to the advertisement. The dataset appears to be suitable for binary classification tasks, where the goal might be to predict whether an individual will make a purchase based on age and estimated salary. Exploratory data analysis (EDA) techniques can be applied to understand patterns and correlations within the dataset before building predictive models.

  5. T

    Best Buy | BBY - Selling And Administration Expenses

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Feb 15, 2025
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    TRADING ECONOMICS (2025). Best Buy | BBY - Selling And Administration Expenses [Dataset]. https://tradingeconomics.com/bby:us:selling-and-administration-expenses
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    csv, xml, json, excelAvailable download formats
    Dataset updated
    Feb 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 1, 2000 - Jul 5, 2025
    Area covered
    United States
    Description

    Best Buy reported $2.23B in Selling and Administration Expenses for its fiscal quarter ending in February of 2025. Data for Best Buy | BBY - Selling And Administration Expenses including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  6. f

    Buy Consumer Data | 1 Billion+ Data | FrescoData

    • frescodata.com
    Updated Dec 9, 2020
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    FrescoData (2020). Buy Consumer Data | 1 Billion+ Data | FrescoData [Dataset]. https://www.frescodata.com/consumer-data/
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    Dataset updated
    Dec 9, 2020
    Dataset authored and provided by
    FrescoData
    Description

    Buy consumer data from us to find the target audience for b2c marketing. FrescoData offer the Highest Value for People and consumer marketing.

  7. T

    Best Buy | BBY - Sales Revenues

    • tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 15, 2025
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    TRADING ECONOMICS (2025). Best Buy | BBY - Sales Revenues [Dataset]. https://tradingeconomics.com/bby:us:sales
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    json, excel, csv, xmlAvailable download formats
    Dataset updated
    Apr 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 1, 2000 - Jul 4, 2025
    Area covered
    United States
    Description

    Best Buy reported $8.77B in Sales Revenues for its fiscal quarter ending in April of 2025. Data for Best Buy | BBY - Sales Revenues including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  8. e-Buy Awards for Fiscal Year 2012

    • catalog.data.gov
    Updated Mar 16, 2021
    + more versions
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    General Services Administration (2021). e-Buy Awards for Fiscal Year 2012 [Dataset]. https://catalog.data.gov/dataset/e-buy-awards-for-fiscal-year-2012
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    Dataset updated
    Mar 16, 2021
    Dataset provided by
    General Services Administrationhttp://www.gsa.gov/
    Description

    GSA e-Buy, is an electronic Request for Quote (RFQ) / Request for Proposal (RFP) system designed to allow government buyers to request information, find sources, and prepare RFQs/RFPs, online, for millions of services and products offered through GSA's Multiple Award Schedule (MAS) and GSA Technology Contracts. Government buyers can use eBuy to obtain quotes or proposals for services, large quantity purchases, big ticket items, and purchases with complex requirements. Buyers may use e-Buy to evaluate and accept the quotation that represents the best value. Buyers may then make award to any contractor whose quotation was accepted. The e-Buy Award dataset are the award data collected by e-Buy for a given fiscal year.

  9. Best Buy brand profile in the United States 2024

    • statista.com
    Updated Nov 6, 2024
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    Statista (2024). Best Buy brand profile in the United States 2024 [Dataset]. https://www.statista.com/forecasts/1252079/best-buy-consumer-electronics-online-shops-brand-profile-in-the-united-states
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    Dataset updated
    Nov 6, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2024 - Apr 2024
    Area covered
    United States
    Description

    How high is the brand awareness of Best Buy in the United States?When it comes to consumer electronics online shop users, brand awareness of Best Buy is at 93 percent in the United States. The survey was conducted using the concept of aided brand recognition, showing respondents both the brand's logo and the written brand name.How popular is Best Buy in the United States?In total, 50 percent of U.S. consumer electronics online shop users say they like Best Buy.What is the usage share of Best Buy in the United States?All in all, 32 percent of consumer electronics online shop users in the United States use Best Buy. How loyal are the customers of Best Buy?Around 25 percent of consumer electronics online shop users in the United States say they are likely to use Best Buy again.What's the buzz around Best Buy in the United States?In 2024, about 31 percent of U.S. consumer electronics online shop users had heard about Best Buy in the media, on social media, or in advertising over the past three months.If you want to compare brands, do deep-dives by survey items of your choice, filter by total online population or users of a certain brand, or drill down on your very own hand-tailored target groups, our Consumer Insights Brand KPI survey has you covered.

  10. e-Buy Awards for Fiscal Year 2016

    • catalog.data.gov
    Updated Mar 16, 2021
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    General Services Administration (2021). e-Buy Awards for Fiscal Year 2016 [Dataset]. https://catalog.data.gov/dataset/e-buy-awards-for-fiscal-year-2016
    Explore at:
    Dataset updated
    Mar 16, 2021
    Dataset provided by
    General Services Administrationhttp://www.gsa.gov/
    Description

    GSA e-Buy, is an electronic Request for Quote (RFQ) / Request for Proposal (RFP) system designed to allow government buyers to request information, find sources, and prepare RFQs/RFPs, online, for millions of services and products offered through GSA's Multiple Award Schedule (MAS) and GSA Technology Contracts. Government buyers can use eBuy to obtain quotes or proposals for services, large quantity purchases, big ticket items, and purchases with complex requirements. Buyers may use e-Buy to evaluate and accept the quotation that represents the best value. Buyers may then make award to any contractor whose quotation was accepted. The e-Buy Award dataset are the award data collected by e-Buy for a given fiscal year.

  11. T

    Best Buy | Der Umsatz

    • de.tradingeconomics.com
    csv, excel, json, xml
    Updated Aug 29, 2017
    + more versions
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    TRADING ECONOMICS (2017). Best Buy | Der Umsatz [Dataset]. https://de.tradingeconomics.com/bby:us:sales
    Explore at:
    excel, xml, csv, jsonAvailable download formats
    Dataset updated
    Aug 29, 2017
    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 1, 2000 - Jun 19, 2025
    Area covered
    United States
    Description

    Best Buy Der Umsatz - Diese Werte, historische Daten, Prognosen, Statistiken, Diagramme und ökonomische Kalender - Jun 2025.Data for Best Buy | Der Umsatz including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  12. T

    Best Buy | 销售

    • zh.tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 14, 2018
    + more versions
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    TRADING ECONOMICS (2018). Best Buy | 销售 [Dataset]. https://zh.tradingeconomics.com/bby:us:sales
    Explore at:
    csv, excel, json, xmlAvailable download formats
    Dataset updated
    Dec 14, 2018
    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 1, 2000 - Jul 5, 2025
    Area covered
    United States
    Description

    Best Buy 销售 - 当前值,历史数据,预测,统计,图表和经济日历 - Jul 2025.Data for Best Buy | 销售 including historical, tables and charts were last updated by Trading Economics this last July in 2025.

  13. United States CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum...

    • ceicdata.com
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    CEICdata.com, United States CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-buying-plans--intended-vacations
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    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, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Consumer Survey
    Description

    CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data was reported at 5.700 % in Apr 2025. This records a decrease from the previous number of 6.000 % for Mar 2025. CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data is updated monthly, averaging 5.400 % from Feb 1967 (Median) to Apr 2025, with 637 observations. The data reached an all-time high of 11.300 % in Jan 2016 and a record low of 2.900 % in Oct 2009. CCI: Plans to Buy Within 6 Mos: sa: Major Appliances: Vacuum Cleaner data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H054: Consumer Confidence Index: Buying Plans & Intended Vacations. [COVID-19-IMPACT]

  14. T

    Best Buy | Vermögenswerte

    • de.tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 21, 2018
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    TRADING ECONOMICS (2018). Best Buy | Vermögenswerte [Dataset]. https://de.tradingeconomics.com/bby:us:assets
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    excel, json, csv, xmlAvailable download formats
    Dataset updated
    Jul 21, 2018
    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 1, 2000 - Jun 16, 2025
    Area covered
    United States
    Description

    Best Buy Vermögenswerte - Diese Werte, historische Daten, Prognosen, Statistiken, Diagramme und ökonomische Kalender - Jun 2025.Data for Best Buy | Vermögenswerte including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  15. United States CCI: Plans to Buy Within 6 Mos: sa: Home: Lived In

    • ceicdata.com
    + more versions
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    CEICdata.com, United States CCI: Plans to Buy Within 6 Mos: sa: Home: Lived In [Dataset]. https://www.ceicdata.com/en/united-states/consumer-confidence-index-buying-plans--intended-vacations
    Explore at:
    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, 2024 - Feb 1, 2025
    Area covered
    United States
    Variables measured
    Consumer Survey
    Description

    CCI: Plans to Buy Within 6 Mos: sa: Home: Lived In data was reported at 2.100 % in Apr 2025. This records a decrease from the previous number of 2.300 % for Mar 2025. CCI: Plans to Buy Within 6 Mos: sa: Home: Lived In data is updated monthly, averaging 1.700 % from Feb 1967 (Median) to Apr 2025, with 637 observations. The data reached an all-time high of 4.700 % in Feb 2021 and a record low of 0.600 % in Feb 1975. CCI: Plans to Buy Within 6 Mos: sa: Home: Lived In data remains active status in CEIC and is reported by The Conference Board. The data is categorized under Global Database’s United States – Table US.H054: Consumer Confidence Index: Buying Plans & Intended Vacations. [COVID-19-IMPACT]

  16. T

    Best Buy | Marktkapitalisierung

    • de.tradingeconomics.com
    csv, excel, json, xml
    Updated Apr 28, 2018
    + more versions
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    TRADING ECONOMICS (2018). Best Buy | Marktkapitalisierung [Dataset]. https://de.tradingeconomics.com/bby:us:market-capitalization
    Explore at:
    xml, csv, excel, jsonAvailable download formats
    Dataset updated
    Apr 28, 2018
    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 1, 2000 - Jun 14, 2025
    Area covered
    United States
    Description

    Best Buy Marktkapitalisierung - Diese Werte, historische Daten, Prognosen, Statistiken, Diagramme und ökonomische Kalender - Jun 2025.Data for Best Buy | Marktkapitalisierung including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  17. T

    Best Buy | I Saldi

    • it.tradingeconomics.com
    csv, excel, json, xml
    Updated Jul 29, 2017
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    TRADING ECONOMICS (2017). Best Buy | I Saldi [Dataset]. https://it.tradingeconomics.com/bby:us:sales
    Explore at:
    xml, excel, csv, jsonAvailable download formats
    Dataset updated
    Jul 29, 2017
    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 1, 2000 - Jun 3, 2025
    Area covered
    United States
    Description

    Best Buy I Saldi - Valori correnti, dati storici, previsioni, statistiche, grafici e calendario economico - Jun 2025.Data for Best Buy | I Saldi including historical, tables and charts were last updated by Trading Economics this last June in 2025.

  18. eCommerce GMV Analytics: Best Buy

    • ecommercedb.com
    Updated Nov 4, 2022
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    ECDB (2022). eCommerce GMV Analytics: Best Buy [Dataset]. https://ecommercedb.com/marketplace/best-buy-25
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    Dataset updated
    Nov 4, 2022
    Dataset provided by
    Authors
    ECDB
    Description

    The online GMV of Best Buy amounted to US$13,555.4m in 2024. Explore everything you need to know about it. Including GMV development, regional scope, and many more.

  19. Buy And Sell Online Business Market Report | Global Forecast From 2025 To...

    • dataintelo.com
    csv, pdf, pptx
    Updated Jan 7, 2025
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    Dataintelo (2025). Buy And Sell Online Business Market Report | Global Forecast From 2025 To 2033 [Dataset]. https://dataintelo.com/report/buy-and-sell-online-business-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

    Buy And Sell Online Business Market Outlook



    The global market size for the Buy and Sell Online Business is projected to grow from USD 3.8 trillion in 2023 to USD 8.5 trillion by 2032, at a compound annual growth rate (CAGR) of 9.2%. The substantial growth is fueled by the increasing consumer preference for online shopping, technological advancements in e-commerce platforms, and the burgeoning smartphone penetration globally.



    The growth of the Buy and Sell Online Business market is primarily driven by the rapid digital transformation across various sectors, which has led to enhanced online user experiences. This transformation is supported by the increasing availability of high-speed internet and the growing adoption of smartphones, making it easier for consumers to access online marketplaces. Additionally, the convenience of shopping from home, coupled with the wide range of products available online, has significantly boosted the market. The increasing trust and reliability of online transactions, supported by robust cybersecurity measures, is also a critical growth factor.



    Another crucial growth driver is the incessant expansion of e-commerce giants like Amazon, Alibaba, and eBay, which have innovated their business models and expanded their global footprint. These companies continuously invest in advanced technologies like artificial intelligence (AI) and machine learning (ML) to offer personalized shopping experiences, thereby enhancing customer satisfaction and loyalty. Additionally, the rise of social commerce, where social media platforms are integrated with e-commerce features, has significantly contributed to the market's growth. Influencer marketing and targeted advertising on these platforms drive consumer engagement and sales.



    The growth trajectory of the Buy and Sell Online Business market is significantly influenced by the dynamics of Online Shopping B2C. This model, which stands for Business-to-Consumer, has revolutionized the way consumers interact with brands and products. The B2C model simplifies the purchasing process by allowing consumers to directly buy from businesses without intermediaries, leading to a more streamlined and efficient shopping experience. This direct interaction not only enhances customer satisfaction but also allows businesses to gather valuable consumer insights, which can be used to tailor offerings and improve service delivery. The rise of e-commerce platforms that specialize in B2C transactions has made it easier for consumers to access a wide variety of products at competitive prices, fostering a culture of convenience and choice.



    The proliferation of digital payment methods has also played a pivotal role in the market's growth. The increasing adoption of digital wallets, credit/debit cards, and other online payment systems has facilitated seamless and secure transactions. Furthermore, the introduction of buy now, pay later (BNPL) services has made online purchases more accessible to a broader audience, including those who might not have immediate funds. The convenience and flexibility offered by these payment methods have encouraged more consumers to transition from traditional shopping to online platforms.



    Regionally, the Asia Pacific region is poised for significant growth, driven by countries like China, India, and Japan. The region's burgeoning middle class, increasing internet penetration, and a tech-savvy young population are key drivers. North America remains a dominant player, with the United States leading in technology adoption and consumer spending. Europe also shows promising growth, with countries like the UK, Germany, and France investing heavily in e-commerce infrastructure. Latin America and the Middle East & Africa are emerging markets with immense potential due to increasing internet accessibility and growing disposable incomes.



    Business Model Analysis



    The Buy and Sell Online Business market is segmented by business model into B2B (Business-to-Business), B2C (Business-to-Consumer), and C2C (Consumer-to-Consumer). The B2C model holds the largest market share, driven by the direct interaction between businesses and consumers, which simplifies the purchasing process. E-commerce giants like Amazon and Alibaba have popularized this model, offering a vast range of products directly to consumers. The B2C model's growth is further propelled by the increasing consumer preference for online shopping, convenience, and the availability of diverse products at competitive pr

  20. T

    Best Buy | فروش و مدیریت هزینه

    • fa.tradingeconomics.com
    csv, excel, json, xml
    Updated Dec 3, 2017
    + more versions
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    TRADING ECONOMICS (2017). Best Buy | فروش و مدیریت هزینه [Dataset]. https://fa.tradingeconomics.com/bby:us:selling-and-administration-expenses
    Explore at:
    excel, xml, json, csvAvailable download formats
    Dataset updated
    Dec 3, 2017
    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 1, 2000 - Jun 24, 2025
    Area covered
    United States
    Description

    Best Buy فروش و مدیریت هزینه - ارزش های فعلی، داده های تاریخی، پیش بینی، آمار، نمودار و تقویم اقتصادی - Jun 2025.Data for Best Buy | فروش و مدیریت هزینه including historical, tables and charts were last updated by Trading Economics this last June in 2025.

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Bright Data (2024). Best Buy Dataset [Dataset]. https://brightdata.com/products/datasets/best-buy

Best Buy Dataset

Explore at:
.json, .csv, .xlsxAvailable download formats
Dataset updated
Dec 23, 2024
Dataset authored and provided by
Bright Data
License

https://brightdata.com/licensehttps://brightdata.com/license

Area covered
Worldwide
Description

Use our Best Buy products to collect ratings, prices, and descriptions about products from an e-commerce online web. You can purchase either the entire dataset or a customized subset, depending on your requirements. The Best Buy Products Dataset stands as a comprehensive resource for businesses, researchers, and analysts aiming to navigate the vast array of products offered by Best Buy, a leading retailer in consumer electronics and technology. Tailored to provide a deep understanding of Best Buy's e-commerce ecosystem, this dataset facilitates market analysis, pricing optimization, customer behavior comprehension, and competitor assessment. At its core, the dataset encompasses essential attributes such as product ID, title, descriptions, ratings, reviews, pricing details, and seller information. These fundamental data elements empower users to glean insights into product performance, customer sentiment, and seller credibility, thereby facilitating informed decision-making processes. Whether you're a retailer looking to enhance your product portfolio, a researcher investigating trends in consumer electronics, or an analyst seeking to refine e-commerce strategies, the Best Buy Products Dataset offers a valuable resource for uncovering opportunities and driving success in the ever-evolving landscape of retail.

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