35 datasets found
  1. E-commerce shoppers mobile audience share in the U.S. 2023, by age

    • statista.com
    Updated Mar 15, 2023
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    Statista (2023). E-commerce shoppers mobile audience share in the U.S. 2023, by age [Dataset]. https://www.statista.com/statistics/1343467/ecommerce-shoppers-mobile-audience-united-states-age/
    Explore at:
    Dataset updated
    Mar 15, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2023
    Area covered
    United States
    Description

    In March of 2023, the largest share of e-commerce shoppers in the United States consisted of adults aged 18 to 24 (**** percent), based on geolocated mobile user data. Adults between the ages of 25 and 34 made up almost ** percent of the e-commerce shopper mobile audience in the country.

  2. d

    US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and...

    • datarade.ai
    Updated Jun 27, 2025
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    Giant Partners (2025). US Consumer Demographic Data - 269M+ Consumer Records - Programmatic Ads and Email Marketing Automation [Dataset]. https://datarade.ai/data-products/us-consumer-demographic-data-269m-consumer-records-progr-giant-partners
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    Dataset updated
    Jun 27, 2025
    Dataset authored and provided by
    Giant Partners
    Area covered
    United States of America
    Description

    Premium B2C Consumer Database - 269+ Million US Records

    Supercharge your B2C marketing campaigns with comprehensive consumer database, featuring over 269 million verified US consumer records. Our 20+ year data expertise delivers higher quality and more extensive coverage than competitors.

    Core Database Statistics

    Consumer Records: Over 269 million

    Email Addresses: Over 160 million (verified and deliverable)

    Phone Numbers: Over 76 million (mobile and landline)

    Mailing Addresses: Over 116,000,000 (NCOA processed)

    Geographic Coverage: Complete US (all 50 states)

    Compliance Status: CCPA compliant with consent management

    Targeting Categories Available

    Demographics: Age ranges, education levels, occupation types, household composition, marital status, presence of children, income brackets, and gender (where legally permitted)

    Geographic: Nationwide, state-level, MSA (Metropolitan Service Area), zip code radius, city, county, and SCF range targeting options

    Property & Dwelling: Home ownership status, estimated home value, years in residence, property type (single-family, condo, apartment), and dwelling characteristics

    Financial Indicators: Income levels, investment activity, mortgage information, credit indicators, and wealth markers for premium audience targeting

    Lifestyle & Interests: Purchase history, donation patterns, political preferences, health interests, recreational activities, and hobby-based targeting

    Behavioral Data: Shopping preferences, brand affinities, online activity patterns, and purchase timing behaviors

    Multi-Channel Campaign Applications

    Deploy across all major marketing channels:

    Email marketing and automation

    Social media advertising

    Search and display advertising (Google, YouTube)

    Direct mail and print campaigns

    Telemarketing and SMS campaigns

    Programmatic advertising platforms

    Data Quality & Sources

    Our consumer data aggregates from multiple verified sources:

    Public records and government databases

    Opt-in subscription services and registrations

    Purchase transaction data from retail partners

    Survey participation and research studies

    Online behavioral data (privacy compliant)

    Technical Delivery Options

    File Formats: CSV, Excel, JSON, XML formats available

    Delivery Methods: Secure FTP, API integration, direct download

    Processing: Real-time NCOA, email validation, phone verification

    Custom Selections: 1,000+ selectable demographic and behavioral attributes

    Minimum Orders: Flexible based on targeting complexity

    Unique Value Propositions

    Dual Spouse Targeting: Reach both household decision-makers for maximum impact

    Cross-Platform Integration: Seamless deployment to major ad platforms

    Real-Time Updates: Monthly data refreshes ensure maximum accuracy

    Advanced Segmentation: Combine multiple targeting criteria for precision campaigns

    Compliance Management: Built-in opt-out and suppression list management

    Ideal Customer Profiles

    E-commerce retailers seeking customer acquisition

    Financial services companies targeting specific demographics

    Healthcare organizations with compliant marketing needs

    Automotive dealers and service providers

    Home improvement and real estate professionals

    Insurance companies and agents

    Subscription services and SaaS providers

    Performance Optimization Features

    Lookalike Modeling: Create audiences similar to your best customers

    Predictive Scoring: Identify high-value prospects using AI algorithms

    Campaign Attribution: Track performance across multiple touchpoints

    A/B Testing Support: Split audiences for campaign optimization

    Suppression Management: Automatic opt-out and DNC compliance

    Pricing & Volume Options

    Flexible pricing structures accommodate businesses of all sizes:

    Pay-per-record for small campaigns

    Volume discounts for large deployments

    Subscription models for ongoing campaigns

    Custom enterprise pricing for high-volume users

    Data Compliance & Privacy

    VIA.tools maintains industry-leading compliance standards:

    CCPA (California Consumer Privacy Act) compliant

    CAN-SPAM Act adherence for email marketing

    TCPA compliance for phone and SMS campaigns

    Regular privacy audits and data governance reviews

    Transparent opt-out and data deletion processes

    Getting Started

    Our data specialists work with you to:

    1. Define your target audience criteria

    2. Recommend optimal data selections

    3. Provide sample data for testing

    4. Configure delivery methods and formats

    5. Implement ongoing campaign optimization

    Why We Lead the Industry

    With over two decades of data industry experience, we combine extensive database coverage with advanced targeting capabilities. Our commitment to data quality, compliance, and customer success has made us the preferred choice for businesses seeking superior B2C marketing performance.

    Contact our team to discuss your specific ta...

  3. ACSI - U.S. customer satisfaction with online retail as of 2025

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). ACSI - U.S. customer satisfaction with online retail as of 2025 [Dataset]. https://www.statista.com/statistics/185760/us-customer-satisfaction-with-e-retail-since-2000/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    This timeline shows the customer satisfaction with e-retail over the years, as measured in the American Customer Satisfaction Index (ACSI) score. In 2025, customer satisfaction with electronic retail reached ** points out of 100. A bustling e-commerce market With one of the largest economies globally, it is no surprise that the United States also is a leading market for e-commerce on the global scale. In 20234, the U.S. Census Bureau reported retail e-commerce sales reaching an estimated ************* U.S. dollars, nearly doubling since 2019. This high number of sales is made possible by the *** million e-commerce users in the country – over ** percent of the population. U.S. online fashion shopping Of the most popular categories to buy online, apparel and accessories is by far the most popular. In 2024, apparel, footwear and accessories made up **** percent of the country’s total retail e-commerce sales. In the same year, the category was forecast to generate a total *** billion U.S. dollars in overall revenue.

  4. Survey of Consumer Finances

    • federalreserve.gov
    Updated Oct 18, 2023
    + more versions
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    Board of Governors of the Federal Reserve Board (2023). Survey of Consumer Finances [Dataset]. http://doi.org/10.17016/8799
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    Dataset updated
    Oct 18, 2023
    Dataset provided by
    Federal Reserve Board of Governors
    Federal Reserve Systemhttp://www.federalreserve.gov/
    Authors
    Board of Governors of the Federal Reserve Board
    Time period covered
    1962 - 2023
    Description

    The Survey of Consumer Finances (SCF) is normally a triennial cross-sectional survey of U.S. families. The survey data include information on families' balance sheets, pensions, income, and demographic characteristics.

  5. d

    Factori USA People Data | socio-demographic, location, interest and intent...

    • datarade.ai
    .json, .csv
    Updated Jul 23, 2022
    + more versions
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    Factori (2022). Factori USA People Data | socio-demographic, location, interest and intent data | E-Commere |Mobile Apps | Online Services [Dataset]. https://datarade.ai/data-products/factori-usa-consumer-graph-data-socio-demographic-location-factori
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    .json, .csvAvailable download formats
    Dataset updated
    Jul 23, 2022
    Dataset authored and provided by
    Factori
    Area covered
    United States of America
    Description

    Our People data is gathered and aggregated via surveys, digital services, and public data sources. We use powerful profiling algorithms to collect and ingest only fresh and reliable data points.

    Our comprehensive data enrichment solution includes a variety of data sets that can help you address gaps in your customer data, gain a deeper understanding of your customers, and power superior client experiences.

    1. Geography - City, State, ZIP, County, CBSA, Census Tract, etc.
    2. Demographics - Gender, Age Group, Marital Status, Language etc.
    3. Financial - Income Range, Credit Rating Range, Credit Type, Net worth Range, etc
    4. Persona - Consumer type, Communication preferences, Family type, etc
    5. Interests - Content, Brands, Shopping, Hobbies, Lifestyle etc.
    6. Household - Number of Children, Number of Adults, IP Address, etc.
    7. Behaviours - Brand Affinity, App Usage, Web Browsing etc.
    8. Firmographics - Industry, Company, Occupation, Revenue, etc
    9. Retail Purchase - Store, Category, Brand, SKU, Quantity, Price etc.
    10. Auto - Car Make, Model, Type, Year, etc.
    11. Housing - Home type, Home value, Renter/Owner, Year Built etc.

    People Data Schema & Reach: Our data reach represents the total number of counts available within various categories and comprises attributes such as country location, MAU, DAU & Monthly Location Pings:

    Data Export Methodology: Since we collect data dynamically, we provide the most updated data and insights via a best-suited method on a suitable interval (daily/weekly/monthly).

    People Data Use Cases:

    360-Degree Customer View: Get a comprehensive image of customers by the means of internal and external data aggregation.

    Data Enrichment: Leverage Online to offline consumer profiles to build holistic audience segments to improve campaign targeting using user data enrichment

    Fraud Detection: Use multiple digital (web and mobile) identities to verify real users and detect anomalies or fraudulent activity.

    Advertising & Marketing: Understand audience demographics, interests, lifestyle, hobbies, and behaviors to build targeted marketing campaigns.

    Using Factori People Data you can solve use cases like:

    Acquisition Marketing Expand your reach to new users and customers using lookalike modeling with your first party audiences to extend to other potential consumers with similar traits and attributes.

    Lookalike Modeling

    Build lookalike audience segments using your first party audiences as a seed to extend your reach for running marketing campaigns to acquire new users or customers

    And also, CRM Data Enrichment, Consumer Data Enrichment B2B Data Enrichment B2C Data Enrichment Customer Acquisition Audience Segmentation 360-Degree Customer View Consumer Profiling Consumer Behaviour Data

    Here's the schema of People Data: person_id first_name last_name age gender linkedin_url twitter_url facebook_url city state address zip zip4 country delivery_point_bar_code carrier_route walk_seuqence_code fips_state_code fips_country_code country_name latitude longtiude address_type metropolitan_statistical_area core_based+statistical_area census_tract census_block_group census_block primary_address pre_address streer post_address address_suffix address_secondline address_abrev census_median_home_value home_market_value property_build+year property_with_ac property_with_pool property_with_water property_with_sewer general_home_value property_fuel_type year month household_id Census_median_household_income household_size marital_status length+of_residence number_of_kids pre_school_kids single_parents working_women_in_house_hold homeowner children adults generations net_worth education_level occupation education_history credit_lines credit_card_user newly_issued_credit_card_user credit_range_new
    credit_cards loan_to_value mortgage_loan2_amount mortgage_loan_type
    mortgage_loan2_type mortgage_lender_code
    mortgage_loan2_render_code
    mortgage_lender mortgage_loan2_lender
    mortgage_loan2_ratetype mortgage_rate
    mortgage_loan2_rate donor investor interest buyer hobby personal_email work_email devices phone employee_title employee_department employee_job_function skills recent_job_change company_id company_name company_description technologies_used office_address office_city office_country office_state office_zip5 office_zip4 office_carrier_route office_latitude office_longitude office_cbsa_code
    office_census_block_group
    office_census_tract office_county_code
    company_phone
    company_credit_score
    company_csa_code
    company_dpbc
    company_franchiseflag
    company_facebookurl company_linkedinurl company_twitterurl
    company_website company_fortune_rank
    company_government_type company_headquarters_branch company_home_business
    company_industry
    company_num_pcs_used
    company_num_employees
    company_firm_individual company_msa company_msa_name
    company_naics_code
    company_naics_description
    company_naics_code2 company_naics_description2
    company_sic_code2
    company_sic_code2_description
    company_sic...

  6. Number of users of e-commerce in the United States 2017-2029

    • statista.com
    Updated Aug 15, 2025
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    Statista (2025). Number of users of e-commerce in the United States 2017-2029 [Dataset]. https://www.statista.com/statistics/273957/number-of-digital-buyers-in-the-united-states/
    Explore at:
    Dataset updated
    Aug 15, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    The number of users in the e-commerce market in the United States was modeled to stand at ************** users in 2024. Following a continuous upward trend, the number of users has risen by ************* users since 2017. Between 2024 and 2029, the number of users will rise by ************* users, continuing its consistent upward trajectory.Further information about the methodology, more market segments, and metrics can be found on the dedicated Market Insights page on eCommerce.

  7. d

    Open e-commerce 1.0: Five years of crowdsourced U.S. Amazon purchase...

    • search.dataone.org
    Updated Dec 16, 2023
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    Alex Berke; Dan Calacci; Robert Mahari; Takahiro Yabe; Kent Larson; Sandy Pentland (2023). Open e-commerce 1.0: Five years of crowdsourced U.S. Amazon purchase histories with user demographics [Dataset]. http://doi.org/10.7910/DVN/YGLYDY
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    Dataset updated
    Dec 16, 2023
    Dataset provided by
    Harvard Dataverse
    Authors
    Alex Berke; Dan Calacci; Robert Mahari; Takahiro Yabe; Kent Larson; Sandy Pentland
    Description

    This dataset contains longitudinal purchases data from 5027 Amazon.com users in the US, spanning 2018 through 2022: amazon-purchases.csv It also includes demographic data and other consumer level variables for each user with data in the dataset. These consumer level variables were collected through an online survey and are included in survey.csv fields.csv describes the columns in the survey.csv file, where fields/survey columns correspond to survey questions. The dataset also contains the survey instrument used to collect the data. More details about the survey questions and possible responses, and the format in which they were presented can be found by viewing the survey instrument. A 'Survey ResponseID' column is present in both the amazon-purchases.csv and survey.csv files. It links a user's survey responses to their Amazon.com purchases. The 'Survey ResponseID' was randomly generated at the time of data collection. amazon-purchases.csv Each row in this file corresponds to an Amazon order. Each such row has the following columns: Survey ResponseID Order date Shipping address state Purchase price per unit Quantity ASIN/ISBN (Product Code) Title Category The data were exported by the Amazon users from Amazon.com and shared by users with their informed consent. PII and other information not listed above were stripped from the data. This processing occurred on users' machines before sharing with researchers.

  8. F

    E-Commerce Retail Sales as a Percent of Total Sales

    • fred.stlouisfed.org
    json
    Updated Aug 19, 2025
    + more versions
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    (2025). E-Commerce Retail Sales as a Percent of Total Sales [Dataset]. https://fred.stlouisfed.org/series/ECOMPCTSA
    Explore at:
    jsonAvailable download formats
    Dataset updated
    Aug 19, 2025
    License

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

    Description

    Graph and download economic data for E-Commerce Retail Sales as a Percent of Total Sales (ECOMPCTSA) from Q4 1999 to Q2 2025 about e-commerce, retail trade, percent, sales, retail, and USA.

  9. Products consumers plan to buy online on Cyber Week in the U.S. 2024

    • statista.com
    Updated Jul 9, 2025
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    Koen van Gelder (2025). Products consumers plan to buy online on Cyber Week in the U.S. 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Koen van Gelder
    Area covered
    United States
    Description

    For 2024's Black Friday and Cyber Monday sales event, also known as the 'Cyber Week', approximately 77 percent of shoppers in the United States that planned to visit online retailers during Cyber Week specifically intended to buy clothing and accessories, making it the most popular product category. Just over 70 percent of respondents also planned to buy electronics.

  10. Retail e-commerce sales in the U.S. 2000-2024

    • statista.com
    Updated Nov 28, 2025
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    Statista (2025). Retail e-commerce sales in the U.S. 2000-2024 [Dataset]. https://www.statista.com/statistics/183750/us-retail-e-commerce-sales-figures/
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    Dataset updated
    Nov 28, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    United States
    Description

    In 2024, retail e-commerce sales in the United States reached an estimated **** billion U.S. dollars, roughly double the sales value reached in 2019. E-commerce's growth trajectory Driven by the escalating integration of technology into daily life, e-commerce has witnessed a remarkable surge in popularity. Projections indicate a significant uptick in e-commerce users in the United States, rising from *** million in 2025 to over *** million by 2029. As of 2023, apparel and accessories ranked as the most sought-after e-commerce product category, comprising over ** percent of all retail sales in the U.S. This trend persists despite inflationary pressures, positioning this category among the e-commerce segments experiencing the most significant year-on-year price changes. M-commerce users demographic While the demand for the convenience of purchasing from the palm of one's hand is also rapidly increasing, various demographic factors influence mobile commerce usage. There's a higher proportion of male online shoppers than females, with a split of ** percent versus ** percent. Age is another determinant. Younger consumers exhibit a greater inclination towards m-commerce, with ** percent of mobile shoppers falling within the ** to ** age bracket. Furthermore, income levels also shape mobile shopping habits, with individuals earning less than ****** U.S. dollars annually showing the highest propensity for mobile-based purchases.

  11. Electronic product adoption: consumer survey questionnaire, data, and...

    • figshare.com
    pdf
    Updated Jul 13, 2020
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    Barbara Kasulaitis; Callie Babbitt; Christy Tyler (2020). Electronic product adoption: consumer survey questionnaire, data, and interpreted results [Dataset]. http://doi.org/10.6084/m9.figshare.12444044.v4
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    pdfAvailable download formats
    Dataset updated
    Jul 13, 2020
    Dataset provided by
    Figsharehttp://figshare.com/
    Authors
    Barbara Kasulaitis; Callie Babbitt; Christy Tyler
    License

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

    Description

    This project contains data obtained by a consumer survey on preferences regarding product adoption, use, functionality, and replacement. These data support the publication: Kasulaitis, B., Babbitt, C.W., Tyler, A.C. "The role of consumer preferences in reducing material intensity of electronic products," Journal of Industrial Ecology (2020).DOI: 10.1111/jiec.13052Data Contents:Data provided within this project include:1) The survey questionnaire, provided here in both PDF and TXT formats, under the title "SurveyQuestions";2) The raw data generated by the survey panel (with weightings as described below) provided here in both Excel and SPSS formats, under the title "SurveyRawData"; 3) Data compiled from these raw results and used to create figures appearing in Kasulaitis et al. 2020, in an Excel file entitled "SurveyAnalyzedData";4) Additional graphical presentation and interpretation of data (entitled "InterpretedSurveyResults"), a PDF that includes results and findings beyond those appearing in the manuscript.Additional Background:The Internet-based survey was developed by the authors with the support of Meliora Research, LLC, a market research and survey design firm, and administered in February 2015. The survey was administered to a panel of United States adults that was recruited and maintained by Lightspeed GMI, using their sampling and panel management platform. The survey protocol and informed consent process was reviewed and approved by the Rochester Institute of Technology Institutional Review Board. The respondents’ identities remained confidential, and researchers had no contact with the respondents. The panel was designed to be a nationally representative population, and survey results are comprised of responses from 1,011 US adults, aged 18 years and older. This sample size, relative to the total population of U.S. adults, provided a margin of error of +/- 3% with a 95% confidence level. Demographic characteristics of panel members were collected at the time of sampling. Statistical weighting was provided by Meliora Research to correct distribution of respondents to align with the US Census’ Population 2014 March Supplement. In determining weighting factors, socio-demographic characteristics, including education, age, gender, race/ethnicity, household income, and geographic region were evaluated. The survey consisted of 40 questions designed to gain insight into the consumption and use of, attitudes towards, and relationships between personally owned electronic products, plus 10 demographic and screening questions.

  12. E-commerce as share of total retail sales worldwide 2017-2030

    • statista.com
    Updated Nov 19, 2025
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    Statista (2025). E-commerce as share of total retail sales worldwide 2017-2030 [Dataset]. https://www.statista.com/statistics/534123/e-commerce-share-of-retail-sales-worldwide/
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    Dataset updated
    Nov 19, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Area covered
    Worldwide
    Description

    Internet sales have played an increasingly significant role in retailing. In 2025, e-commerce accounted for over ***percent of retail sales worldwide. Forecasts indicate that by 2030, the online segment will make up ***percent of total global retail sales. Retail e-commerce Online shopping has grown steadily in popularity in recent years. In 2024, global e-commerce sales amounted to over ************ U.S. dollars, a figure expected to approach * trillion U.S. dollars by 2030. Digital development boomed during the COVID-19 pandemic, generating unprecedented e-commerce growth in various economies across the globe. This trend correlates strongly with the constantly improving online access, especially in "mobile-first" online communities, which have long struggled with traditional commercial fixed broadband connections due to financial or infrastructure constraints but enjoy the advantages of cheap mobile broadband connections. M-commerce on the rise The order share of online shopping via smartphones and tablets now outperforms traditional e-commerce via desktop computers. As such, e-retailers around the world have caught up in mobile e-commerce sales. Online shopping via smartphones is particularly prominent in Asia. By the end of 2023, South Korea was the top digital market based on the percentage of the population that had purchased something by phone, with nearly ** percent having made a weekly mobile purchase. Malaysia, UAE, and Turkey completed the top of the ranking.

  13. Gen Z shoppers discovering and buying on social media 2023-2024

    • statista.com
    Updated Nov 25, 2025
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    Statista (2025). Gen Z shoppers discovering and buying on social media 2023-2024 [Dataset]. https://www.statista.com/statistics/1455391/shoppers-social-media-discovery-and-purchase-worldwide/
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    Dataset updated
    Nov 25, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2024 - Nov 2024
    Area covered
    Worldwide
    Description

    Social media's influence on Gen Z shopping habits has surged dramatically in recent years. A 2024 survey reveals that ** percent of Gen Z consumers discovered new products or brands through social media influencers, up from ** percent in 2023. This shift underscores the growing importance of digital platforms in shaping consumer behavior, particularly among younger demographics. Beauty and personal care e-commerce growth The rising impact of social media on Gen Z purchasing decisions aligns with broader trends in e-commerce, particularly in the beauty and personal care sector. Global revenue in this market is forecast to increase by ***** percent between 2024 and 2029, reaching a new peak of ****** billion U.S. dollars. This growth trajectory suggests that the digital landscape will continue to play a crucial role in consumer discovery and purchasing habits. Payment preferences among young consumers Traditional payment methods remain popular among Zoomers. A survey across North America, Europe, and Latin America found that debit and credit cards are still preferred by Gen Z for online shopping and travel bookings. However, younger consumers are showing a growing demand for diverse payment options, indicating potential shifts in the e-commerce landscape as digital wallets gain prominence, particularly in Asia-Pacific markets.

  14. Reasons to spend more online during Cyber Week in the U.S. 2024

    • statista.com
    Updated Jul 9, 2025
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    Statista Research Department (2025). Reasons to spend more online during Cyber Week in the U.S. 2024 [Dataset]. https://www.statista.com/topics/2477/online-shopping-behavior/
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    Dataset updated
    Jul 9, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Statista Research Department
    Area covered
    United States
    Description

    In 2024, convenience was the leading reason to spend more money online during Cyber Week than in the previous year. Prices being lower online was the second most common reason for U.S. Cyber Week shoppers.

  15. Market cap of 120 digital assets, such as crypto, on October 1, 2025

    • statista.com
    Updated Jun 3, 2025
    + more versions
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    Raynor de Best (2025). Market cap of 120 digital assets, such as crypto, on October 1, 2025 [Dataset]. https://www.statista.com/topics/871/online-shopping/
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    Dataset updated
    Jun 3, 2025
    Dataset provided by
    Statistahttp://statista.com/
    Authors
    Raynor de Best
    Description

    A league table of the 120 cryptocurrencies with the highest market cap reveals how diverse each crypto is and potentially how much risk is involved when investing in one. Bitcoin (BTC), for instance, had a so-called "high cap" - a market cap worth more than 10 billion U.S. dollars - indicating this crypto project has a certain track record or, at the very least, is considered a major player in the cryptocurrency space. This is different in Decentralize Finance (DeFi), where Bitcoin is only a relatively new player. A concentrated market The number of existing cryptocurrencies is several thousands, even if most have a limited significance. Indeed, Bitcoin and Ethereum account for nearly 75 percent of the entire crypto market capitalization. As crypto is relatively easy to create, the range of projects varies significantly - from improving payments to solving real-world issues, but also meme coins and more speculative investments. Crypto is not considered a payment method While often talked about as an investment vehicle, cryptocurrencies have not yet established a clear use case in day-to-day life. Central bankers found that usefulness of crypto in domestic payments or remittances to be negligible. A forecast for the world's main online payment methods took a similar stance: It predicts that cryptocurrency would only take up 0.2 percent of total transaction value by 2027.

  16. Global retail e-commerce sales 2022-2028

    • statista.com
    • abripper.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.

  17. Online Sporting Goods Sales in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jul 23, 2025
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    IBISWorld (2025). Online Sporting Goods Sales in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/online-sporting-goods-sales-industry/
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    Dataset updated
    Jul 23, 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
    Description

    In recent years, the Online Sporting Goods Sales industry in the US has faced a unique blend of challenges and opportunities. With the swell of e-commerce, consumers have shifted from traditional brick-and-mortar stores to the convenience of online shopping, with a modest revenue growth rate of 2.3% in 2025 reaching $39.2 billion. This digital transformation has encouraged price comparisons, sparking fierce competition and forcing retailers to keep prices low to attract cost-sensitive customers. Major competitors like Amazon and Walmart have leveraged their scale to engage in aggressive pricing strategies. At the same time, the deep cultural significance of sports, through events like the Super Bowl and March Madness, continues to drive sales, prompting retailers to diversify their offerings to cater to hobbyists and professional athletes. Over the past five years, this price-based competition has overall pushed revenue slightly down at a CAGR of -0.4%. Consumers' increasing reliance on online platforms for purchasing has also diminished brand loyalty, with younger demographics prioritizing cost over loyalty. In response, retailers have embraced dynamic pricing strategies, adjusting real-time prices to maintain market presence. Simultaneously, they’ve improved customer experiences through revamped digital platforms and personalized services, aiming to secure a competitive edge. However, the rapid growth of alternative entertainment like streaming and gaming has diverted consumer attention away from physical sports, posing a significant hurdle and dampening demand for sporting goods despite the industry's vast potential. Looking ahead, the industry is set for a more positive trajectory, with an anticipated CAGR of 2.5% over the next five years and revenue projected to reach $44.3 billion in 2030. The growing emphasis on health and fitness among younger adults, alongside increasing senior participation in physical activities, signals a promising rally in sales of diverse sporting equipment. Retailers can innovate with exclusive supplier contracts and enhance digital marketing strategies to differentiate themselves in a crowded marketplace. The industry's profit, though slowly falling, could stabilize as retailers tap into new consumer bases and technological advancements such as AI and augmented reality.

  18. T

    E-commerce Market to hit USD 151.5 Trillion By 2034

    • technotrenz.com
    Updated Oct 31, 2025
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    Techno Trenz (2025). E-commerce Market to hit USD 151.5 Trillion By 2034 [Dataset]. https://technotrenz.com/stats/e-commerce-market-statisitcs/
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    Dataset updated
    Oct 31, 2025
    Dataset authored and provided by
    Techno Trenz
    License

    https://technotrenz.com/privacy-policy/https://technotrenz.com/privacy-policy/

    Time period covered
    2022 - 2032
    Area covered
    Global
    Description

    E-commerce Market Size

    According to Market.us, The Global E-commerce Market is projected to reach USD 151.5 trillion by 2034, rising from USD 28.29 trillion in 2024, at a CAGR of 18.29% from 2025 to 2034. In 2024, the Asia-Pacific (APAC) region led the market, accounting for over 45.7% of the global share and generating USD 12.8 trillion in revenue, driven by expanding digitalization, mobile commerce adoption, and growing internet penetration across emerging economies.

    The eCommerce market in 2025 remains a fast-growing, dynamic sector with strong momentum from global consumer shifts toward online shopping. The expansion is visible through increasing retail sales moving online, driven by technological advancements and evolving consumer expectations. Statistics show that over 85% of consumers shop online regularly, with smartphones as the dominant platform for about 70% of shoppers. Consumers increasingly prioritize fast shipping and seamless customer experiences. This steady growth is underpinned by strong internet penetration worldwide and deep adoption of mobile commerce, reflecting a profound change in how people buy goods.​

    https://market.us/wp-content/uploads/2025/03/E-commerce-Market-Size.png" alt="E-commerce Market Size" width="1216" height="706">

    According to Upmetrics, global retail online sales are projected to reach $8.1 trillion by 2026, supported by over 26 million eCommerce stores worldwide. In 2023, nearly 2.64 billion people - about 33.3% of the global population - made online purchases. The U.S. eCommerce market is forecast to grow from $925 billion in 2023 to $1.41 trillion by 2027, with an average conversion rate of 2.3%.

    Mobile commerce (M-commerce) continues to expand rapidly, with online sales expected to almost double to $710 billion by 2025. As reported by EcommerceTips, the average conversion rate across eCommerce platforms is 1.72%, while the cart abandonment rate stands at 71.98%, and the return rate for online purchases is 16.5%.

    Consumer behavior shows that 89% of shoppers check reviews before buying, and 56% begin their search on Amazon. Mobile devices account for 59.9% of global eCommerce revenue, while desktops contribute 37.5%. Digital wallets dominate payment methods with a 49% share, followed by credit cards at 21%. Additionally, email marketing remains a high-performing strategy, yielding an average return of $45 for every $1 spent.

  19. Online Kitchenware Sales in the US - Market Research Report (2015-2030)

    • ibisworld.com
    Updated Jan 15, 2025
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    IBISWorld (2025). Online Kitchenware Sales in the US - Market Research Report (2015-2030) [Dataset]. https://www.ibisworld.com/united-states/market-research-reports/online-kitchenware-sales-industry/
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    Dataset updated
    Jan 15, 2025
    Dataset authored and provided by
    IBISWorld
    License

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

    Time period covered
    2015 - 2030
    Description

    The online kitchenware sector has witnessed noteworthy growth, driven by rising consumer spending, advancements in mobile shopping technology and e-commerce expansion. Enhanced mobile connectivity makes it easier for consumers to shop, contributing to frequent purchases and robust growth in this domain. The appeal of online shopping, especially among millennials who prefer its convenience, fuels demand as more consumers invest in home products. As digital transactions become a norm, operators must ensure their platforms are optimized for performance and security to capture a broader audience, ensuring customer loyalty amid increasing competition. Revenue is expected to grow at a CAGR of 3.6% to $12.5 billion through the end of 2025, including a 1.5% boost in revenue in 2025. Over the past five years, the industry has experienced mixed profitability despite revenue expansion. Competition has intensified, compelling businesses to channel more resources into marketing to bolster brand visibility. As competition heightens, firms must also enhance customer service by expanding their workforce and raising operational costs. In contrast, larger enterprises leverage well-established supplier relationships for cost efficiencies, maintaining a competitive edge in pricing. Purchasing expenses dominate the sector's finances, with smaller, luxury-focused companies facing distinct supply cost challenges, impacting their overall profitability. The industry is poised for continued growth, although it may encounter logistics and competitive pressure challenges. Economic recovery is set to enhance consumer purchasing power, boosting sales of premium kitchen items. This creates opportunities for brands to emphasize luxury and quality in their offerings. Companies must innovate to meet evolving consumer preferences shaped by shifting demographics, such as more individuals forming new households. Additionally, the increasing competition will pressure profit, necessitating investments in superior customer service and efficient logistics. Retailers who successfully navigate these challenges by offering compelling digital experiences and exceptional service quality will thrive in the competitive landscape of the next five years. Overall, revenue is expected to inch up at a CAGR of 1.8% to $13.6 billion over the five years to 2030.

  20. E-Commerce Market Analysis APAC, North America, Europe, South America,...

    • technavio.com
    pdf
    Updated Dec 19, 2022
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    Technavio (2022). E-Commerce Market Analysis APAC, North America, Europe, South America, Middle East and Africa - US, China, Japan, Germany, UK - Size and Forecast 2023-2027 [Dataset]. https://www.technavio.com/report/e-commerce-market-industry-analysis
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    pdfAvailable download formats
    Dataset updated
    Dec 19, 2022
    Dataset provided by
    TechNavio
    Authors
    Technavio
    License

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

    Time period covered
    2023 - 2027
    Description

    Snapshot img

    E-Commerce Market Size 2023-2027

    The e-commerce market size is forecast to increase by USD12.95 billion at a CAGR of 27.15% between 2022 and 2027.

    The market is experiencing significant growth, driven by several key factors. Firstly, the advantages of e-commerce platforms, such as convenience, accessibility, and a wider product selection, continue to attract consumers. Secondly, technological advancements, including AI and machine learning, are enhancing the consumer experience by providing personalized recommendations and seamless transactions. However, regulatory issues pose challenges to market growth. Governments around the world are implementing stricter regulations on data privacy and security, which can increase compliance costs for e-commerce businesses. As the market continues to evolve, it is essential for businesses to stay informed of these trends and adapt to the changing regulatory landscape to remain competitive.
    

    What will be the Size of the E-Commerce Market During the Forecast Period?

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    The market in the United States continues to experience robust growth, fueled by the increasing adoption of smartphones among the smartphone-using population and their subsequent use for browsing digital content. This trend is particularly prominent in sectors such as travel and leisure, financial services, and e-tailing. Technological awareness and connectivity have become essential drivers of consumer behavior, leading to the widespread use of online marketing tools like Google Ads and Facebook Ads, as well as social media applications for communication and buying and selling goods and services. Established organizations and large enterprises have responded by investing in infrastructure to improve user experience, reduce operational costs through inventory management systems, and cater to the growing demand for vertical and specialized marketplaces.Overall, the market is poised for continued expansion, driven by consumer wealth, the convenience of online shopping, and the ongoing evolution of digital technology.
    

    How is this E-Commerce Industry segmented and which is the largest segment?

    The e-commerce industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2023-2027, as well as historical data from 2017-2021 for the following segments.ApplicationHome appliancesFashion productsGroceriesBooksOthersTypeB2BB2CGeographyAPACChinaJapanNorth AmericaUSEuropeGermanyUKSouth AmericaMiddle East and Africa

    By Application Insights

    The Home appliances segment is estimated to witness significant growth during the forecast period.
    

    The market encompasses various retail sectors, with home appliances being a significant segment. This matured segment, which includes consumer electronics, houseware, and kitchen appliances, is experiencing a decelerating growth rate. A major challenge in this sector is the absence of a comprehensive logistics platform for the delivery of home appliances bought online. This issue arises due to the supply side constraints, particularly in developing countries, where logistical barriers pose significant challenges. Despite these hurdles, the home appliances segment is projected to remain the largest revenue generator within the market throughout the forecast period. The increasing standard of living and the resulting influence on the global online home appliance market are key drivers for this segment's growth.

    Get a glance at the e-commerce industry share of various segments Request Free Sample

    The Home appliances segment accounted for USD 1099.73 billion in 2017 and showed a gradual increase during the forecast period.

    Regional Insights

    APAC is estimated to contribute 48% to the growth of the global market during the forecast period. Technavio’s analysts have elaborately explained the regional trends and drivers that shape the market during the forecast period.
    

    For more insights on the market share of various regions Request Free Sample

    The Asia Pacific (APAC) region is projected to lead The market growth due to the expanding internet population and rising adoption of digital technology. With countries like Pakistan, Bangladesh, and Indonesia exhibiting significant potential, the e-commerce sector in these late-adopter nations is anticipated to experience substantial expansion. The increasing purchasing power of the middle class in APAC is another key factor fueling market growth. China, a significant contributor to the e-commerce industry, hosts prominent global companies such as Alibaba and JD. The region's the market is expected to continue its upward trajectory, making APAC a significant influence on the global market landscape.

    Market Dynamics

    Our e-commerce market researchers analyzed the data with 2022 as the base year, along with the key drivers, trends, and challenges. A holistic analysis of driver

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Statista (2023). E-commerce shoppers mobile audience share in the U.S. 2023, by age [Dataset]. https://www.statista.com/statistics/1343467/ecommerce-shoppers-mobile-audience-united-states-age/
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E-commerce shoppers mobile audience share in the U.S. 2023, by age

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2 scholarly articles cite this dataset (View in Google Scholar)
Dataset updated
Mar 15, 2023
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
Mar 2023
Area covered
United States
Description

In March of 2023, the largest share of e-commerce shoppers in the United States consisted of adults aged 18 to 24 (**** percent), based on geolocated mobile user data. Adults between the ages of 25 and 34 made up almost ** percent of the e-commerce shopper mobile audience in the country.

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