100+ datasets found
  1. Consumers' main means of expression through fashion in the U.S. in 2022

    • statista.com
    Updated Sep 6, 2022
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    Statista (2022). Consumers' main means of expression through fashion in the U.S. in 2022 [Dataset]. https://www.statista.com/statistics/1331414/fashion-means-of-expression-us/
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    Dataset updated
    Sep 6, 2022
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    May 2022 - Aug 2022
    Area covered
    United States
    Description

    According to a survey conducted in summer 2022, the main means of expression fashion consumers in the U.S. wished to convey through their clothing was their personality. 28 percent of fashion shoppers looked to convey their emotions through the way they dressed.

  2. Clothing shoppers who favor select fast fashion retailers in the U.S. 2023,...

    • statista.com
    • flwrdeptvarieties.store
    Updated Mar 4, 2024
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    Statista (2024). Clothing shoppers who favor select fast fashion retailers in the U.S. 2023, by gender [Dataset]. https://www.statista.com/statistics/1453384/online-shop-shein-temu-usage-fashion-united-states/
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    Dataset updated
    Mar 4, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 14, 2023 - Mar 21, 2023
    Area covered
    United States
    Description

    In the United States, the online retailer selling fast fashion that was most liked or loved by shoppers in March 2023 was Amazon.com. When it came to fast fashion, the online marketplace was reported as liked or loved by 42 percent of women and 34 percent of men. Meanwhile, omnichannel retailer Old Navy was liked or loved by 42 percent of women and 35 percent of men.

  3. Fashion Accessories eCommerce Statistics in 2025

    • aftership.com
    pdf
    Updated Feb 5, 2024
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    AfterShip (2024). Fashion Accessories eCommerce Statistics in 2025 [Dataset]. https://www.aftership.com/ecommerce/statistics/stores/fashion-accessories
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    pdfAvailable download formats
    Dataset updated
    Feb 5, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    Explore the statistics for Fashion Accessories eCommerce in 2025, including store count by region and platform, estimated sales amount by platform and region, products sold by platform and region, and total app spend by platform and region. Gain insights into regional preferences, market penetration, consumer trends, and technological investments within the Fashion Accessories sector. Discover the leading regions and platforms, as well as the dynamics of sales and product volumes. Stay informed about the evolving landscape of Fashion Accessories online stores for a comprehensive understanding of the market.

  4. Fashion & Apparel Data | Apparel, Fashion & Luxury Goods Professionals in...

    • datarade.ai
    Updated Jan 1, 2018
    + more versions
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    Success.ai (2018). Fashion & Apparel Data | Apparel, Fashion & Luxury Goods Professionals in Asia | Verified Global Profiles from 700M+ Dataset [Dataset]. https://datarade.ai/data-products/fashion-apparel-data-apparel-fashion-luxury-goods-prof-success-ai-6fe2
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    .bin, .json, .xml, .csv, .xls, .sql, .txtAvailable download formats
    Dataset updated
    Jan 1, 2018
    Dataset provided by
    Area covered
    Iraq, Malaysia, Cambodia, Kyrgyzstan, Maldives, India, Bangladesh, Uzbekistan, Bahrain, Kazakhstan
    Description

    Success.ai’s Fashion & Apparel Data for Apparel, Fashion & Luxury Goods Professionals in Asia provides a robust dataset tailored for businesses seeking to connect with key players in Asia’s thriving fashion and luxury goods industries. Covering roles such as brand managers, designers, retail executives, and supply chain leaders, this dataset includes verified contact details, professional insights, and actionable business data.

    With access to over 700 million verified global profiles and 130 million profiles focused on Asia, Success.ai ensures your outreach, marketing, and business development strategies are supported by accurate, continuously updated, and AI-validated data. Backed by our Best Price Guarantee, this solution positions you to succeed in Asia’s competitive and ever-growing fashion markets.

    Why Choose Success.ai’s Fashion & Apparel Data?

    1. Verified Contact Data for Precision Outreach

      • Access verified work emails, phone numbers, and LinkedIn profiles of professionals in apparel, fashion, and luxury goods industries across Asia.
      • AI-driven validation ensures 99% accuracy, reducing bounce rates and enhancing communication efficiency.
    2. Comprehensive Coverage of Asian Fashion Professionals

      • Includes profiles from major fashion hubs such as China, India, Japan, South Korea, and Southeast Asia.
      • Gain insights into regional consumer trends, emerging fashion markets, and luxury goods opportunities.
    3. Continuously Updated Datasets

      • Real-time updates capture changes in leadership, market expansions, and product launches.
      • Stay aligned with evolving industry trends and capitalize on new opportunities effectively.
    4. Ethical and Compliant

      • Fully adheres to GDPR, CCPA, and other global data privacy regulations, ensuring responsible and lawful data usage.

    Data Highlights:

    • 700M+ Verified Global Profiles: Connect with professionals across the global fashion and apparel industries, with a focus on Asia.
    • 130M+ Profiles in Asia: Gain detailed insights into professionals shaping the region’s fashion and luxury goods markets.
    • Verified Contact Details: Access work emails, phone numbers, and business locations for precise targeting.
    • Leadership Insights: Engage with designers, brand managers, and retail leaders driving Asia’s fashion trends.

    Key Features of the Dataset:

    1. Comprehensive Professional Profiles

      • Identify and connect with decision-makers in apparel design, luxury goods branding, retail operations, and supply chain management.
      • Target individuals leading innovation in sustainable fashion, fast fashion, and digital transformation.
    2. Advanced Filters for Precision Campaigns

      • Filter professionals by industry focus (luxury goods, ready-to-wear, footwear), geographic location, or job function.
      • Tailor campaigns to align with specific market needs, such as emerging e-commerce platforms or regional fashion preferences.
    3. Industry and Regional Insights

      • Leverage data on consumer behaviors, market growth, and regional trends in Asia’s fashion and luxury goods sectors.
      • Refine marketing strategies, product development, and partnership outreach based on actionable insights.
    4. AI-Driven Enrichment

      • Profiles enriched with actionable data allow for personalized messaging, highlight unique value propositions, and improve engagement outcomes.

    Strategic Use Cases:

    1. Marketing Campaigns and Brand Expansion

      • Design targeted campaigns to promote apparel, luxury goods, or retail solutions to fashion professionals in Asia.
      • Leverage multi-channel outreach, including email, phone, and social media, to maximize engagement.
    2. Product Development and Consumer Insights

      • Utilize data on regional trends and consumer preferences to guide product development and marketing strategies.
      • Collaborate with brand managers and designers to tailor collections or launch new offerings aligned with market demands.
    3. Partnership Development and Retail Collaboration

      • Build relationships with retail chains, luxury brands, and supply chain leaders seeking strategic alliances.
      • Foster partnerships that expand distribution channels, enhance brand visibility, or improve operational efficiencies.
    4. Market Research and Competitive Analysis

      • Analyze trends in Asia’s fashion industry to refine business strategies, identify market gaps, and anticipate consumer demands.
      • Benchmark against competitors to stay ahead in the fast-paced fashion landscape.

    Why Choose Success.ai?

    1. Best Price Guarantee

      • Access premium-quality fashion and apparel data at competitive prices, ensuring strong ROI for your marketing, sales, and product development efforts.
    2. Seamless Integration

      • Integrate verified data into CRM systems, analytics platforms, or marketing tools via APIs or downloadable formats, streamlining workfl...
  5. Fast & second-hand fashion market growth forecast 2019-2029

    • statista.com
    Updated Sep 25, 2024
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    Statista (2024). Fast & second-hand fashion market growth forecast 2019-2029 [Dataset]. https://www.statista.com/statistics/1237898/fast-and-second-hand-fashion-market-growth-in-the-us/
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    Dataset updated
    Sep 25, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    2020
    Area covered
    Worldwide
    Description

    The fashion industry is projected to grow significantly in the next ten years. Two categories in the fashion industry that are of interest are the fast fashion market and the second-hand fashion market. By 2029, the fast fashion market is expected to grow by 20 percent. For the second-hand market this number is higher at 185 percent.

    Market overview

    Because of technological innovation, fashion in the last two decades has been produced at an accelerating speed. This so called 'fast' fashion is known for it’s accessible price point. Additionally, it often responds well to current trends because of product turnover, which further increases the appeal. European brands such as

  6. H

    Data from: Fashion conversation data on Instagram

    • dataverse.harvard.edu
    • search.dataone.org
    Updated May 11, 2017
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    Fashion conversation data on Instagram [Dataset]. https://dataverse.harvard.edu/dataset.xhtml?persistentId=doi:10.7910/DVN/K7AW6F
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    CroissantCroissant is a format for machine-learning datasets. Learn more about this at mlcommons.org/croissant.
    Dataset updated
    May 11, 2017
    Dataset provided by
    Harvard Dataverse
    Authors
    Yu-i Ha; Sejeong Kwon; Meeyoung Cha; Jungseock Joo
    License

    CC0 1.0 Universal Public Domain Dedicationhttps://creativecommons.org/publicdomain/zero/1.0/
    License information was derived automatically

    Description

    Our fashion dataset is composed of information about 24,752 posts by 13,350 people on Instagram. The data collection was done over a month period in January, 2015. We searched for posts mentioning 48 internationally renowned fashion brand names as hashtag. Our data contain information about hashtags as well as image features based on deep learning (Convolutional Neural Network or CNN). The list of learned features include selfies, body snaps, marketing shots, non-fashion, faces, logo, etc. Please refer to our paper for the full description of how we built our deep learning model.

  7. Fashion Accessories Estimated Sales by Regions

    • aftership.com
    Updated Feb 5, 2024
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    AfterShip (2024). Fashion Accessories Estimated Sales by Regions [Dataset]. https://www.aftership.com/ecommerce/statistics/stores/fashion-accessories
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    Dataset updated
    Feb 5, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    This chart offers a detailed view of the estimated sales amounts for Fashion Accessories stores across different regions.

  8. Fashion Accessories Stores Count by Platforms

    • aftership.com
    Updated Feb 5, 2024
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    AfterShip (2024). Fashion Accessories Stores Count by Platforms [Dataset]. https://www.aftership.com/ecommerce/statistics/stores/fashion-accessories
    Explore at:
    Dataset updated
    Feb 5, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    Our data sheds light on the distribution of Fashion Accessories stores across different online platforms.

  9. Z

    Fast Fashion Market By End-User (Children, Women, Men, Unisex, and Others),...

    • zionmarketresearch.com
    pdf
    Updated Mar 17, 2025
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    Zion Market Research (2025). Fast Fashion Market By End-User (Children, Women, Men, Unisex, and Others), By Distribution Channel (Offline, Online, and Others), and By Region - Global and Regional Industry Overview, Market Intelligence, Comprehensive Analysis, Historical Data, and Forecasts 2023 - 2030 [Dataset]. https://www.zionmarketresearch.com/report/fast-fashion-market
    Explore at:
    pdfAvailable download formats
    Dataset updated
    Mar 17, 2025
    Dataset authored and provided by
    Zion Market Research
    License

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

    Time period covered
    2022 - 2030
    Area covered
    Global
    Description

    The Global Fast Fashion Market Size Was Worth USD 60.50 Billion in 2022 and Is Expected To Reach USD 179.50 Billion by 2030, CAGR of 14.56%.

  10. Fashion Accessories Stores Count by Region

    • aftership.com
    Updated Feb 5, 2024
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    AfterShip (2024). Fashion Accessories Stores Count by Region [Dataset]. https://www.aftership.com/ecommerce/statistics/stores/fashion-accessories
    Explore at:
    Dataset updated
    Feb 5, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    Delving into the Fashion Accessories sector, our data presents a revealing look at store distribution by region, highlighting regional preferences and market penetration in this niche.

  11. Fashion Accessories Stores Distributed by Monthly Sales

    • aftership.com
    Updated Feb 5, 2024
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    AfterShip (2024). Fashion Accessories Stores Distributed by Monthly Sales [Dataset]. https://www.aftership.com/ecommerce/statistics/stores/fashion-accessories
    Explore at:
    Dataset updated
    Feb 5, 2024
    Dataset authored and provided by
    AfterShiphttps://www.aftership.com/
    License

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

    Description

    This chart provides a detailed overview of the number of Fashion Accessories online retailers by Monthly Sales. Most Fashion Accessories stores' Monthly Sales are $1.00K to $10.00K, there are 2 stores, which is 66.67% of total. In second place, 1 stores' Monthly Sales are $10.00K to $100.00K, which is 33.33% of total. Meanwhile, 0 stores' Monthly Sales are Less than $100.00, which is <0.01% of total. This breakdown reveals insights into Fashion Accessories stores distribution, providing a comprehensive picture of the performance and efficient of online retailer.

  12. Global fashion brand social media metrics 2019

    • statista.com
    Updated Nov 9, 2024
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    Statista (2024). Global fashion brand social media metrics 2019 [Dataset]. https://www.statista.com/statistics/442817/fashion-brand-social-media-metrics/
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    Dataset updated
    Nov 9, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2020
    Area covered
    Worldwide
    Description

    In 2019, fashion brands performed best on photo-sharing platform Instagram. On average, fashion brands posted 0.96 posts on Instagram per day and generated a 0.68 percent engagement rate per post, which was a higher engagement rate than on Facebook or Twitter.

  13. Clothing size share during Autumn/Winter 2023 fashion shows 2023

    • statista.com
    Updated Mar 13, 2023
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    Statista (2023). Clothing size share during Autumn/Winter 2023 fashion shows 2023 [Dataset]. https://www.statista.com/statistics/1399954/aw-fashion-shows-clothing-sizes/
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    Dataset updated
    Mar 13, 2023
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Mar 2023
    Area covered
    Worldwide
    Description

    Data collected during the 2023 Autumn and Fall fashion shows in New York, London, Milan, and Paris, showed that there were hardly any looks on the runway in the US clothing sizes 14 and over. Of the 9,137 looks, almost all were in sizes 0 to 4.

  14. v

    Global import data of Fashion

    • volza.com
    csv
    Updated Jan 31, 2025
    + more versions
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    Volza.LLC (2025). Global import data of Fashion [Dataset]. https://www.volza.com/imports-india/india-import-data-of-fashion-from-italy
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    csvAvailable download formats
    Dataset updated
    Jan 31, 2025
    Dataset provided by
    Volza.LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    1271 Global import shipment records of Fashion with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

  15. Interest in purchasing digital fashion assets among Gen Pop in the U.S. 2021...

    • statista.com
    Updated Dec 19, 2024
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    Statista (2024). Interest in purchasing digital fashion assets among Gen Pop in the U.S. 2021 [Dataset]. https://www.statista.com/statistics/1311669/digital-fashion-asset-buying-interest/
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    Dataset updated
    Dec 19, 2024
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 2021
    Area covered
    United States
    Description

    As the metaverse seeps into the mainstream through gaming, NFTs, and VR and AR devices, consumer interest in taking part in virtual worlds has been seeing a notable uptick. According to the results of a study conducted with a representative sample of U.S. consumers across Gen Z, Y and X, a combined share of 49 percent of respondents were interested in buying purely digital fashion assets from a luxury brand. This share was slightly lower for those who expressed interest in purchasing digital assets from a mass fashion brand. Still, around a quarter of those surveyed for this study was not interested in digital fashion.
    Many companies in the fashion and luxury realm have invested in developing metaverse strategies by establishing partnerships in the gaming world and launching NFTs or other virtual fashion assets. So far, digital fashion assets have played out particularly successful with global luxury brands.

  16. I

    Indonesia E-Commerce Transactions: Volume: Lifestyle: Fashion & Apparel

    • ceicdata.com
    Updated Feb 28, 2025
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    CEICdata.com (2025). Indonesia E-Commerce Transactions: Volume: Lifestyle: Fashion & Apparel [Dataset]. https://www.ceicdata.com/en/indonesia/ecommerce-transactions-by-category/ecommerce-transactions-volume-lifestyle-fashion--apparel
    Explore at:
    Dataset updated
    Feb 28, 2025
    Dataset provided by
    CEICdata.com
    License

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

    Time period covered
    Feb 17, 2025 - Feb 28, 2025
    Area covered
    Indonesia
    Description

    Indonesia E-Commerce Transactions: Volume: Lifestyle: Fashion & Apparel data was reported at 16.000 Unit in 28 Feb 2025. This records a decrease from the previous number of 71.000 Unit for 27 Feb 2025. Indonesia E-Commerce Transactions: Volume: Lifestyle: Fashion & Apparel data is updated daily, averaging 83.000 Unit from Dec 2018 (Median) to 28 Feb 2025, with 2250 observations. The data reached an all-time high of 3,962.000 Unit in 06 Jan 2024 and a record low of 1.000 Unit in 16 Oct 2021. Indonesia E-Commerce Transactions: Volume: Lifestyle: Fashion & Apparel data remains active status in CEIC and is reported by Grips Intelligence Inc.. The data is categorized under Global Database’s Indonesia – Table ID.GI.EC: E-Commerce Transactions: by Category.

  17. Asia: Babies Clothing and Accessories (Not Knitted or Crocheted) 2007-2024

    • app.indexbox.io
    Updated Feb 11, 2023
    + more versions
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    IndexBox AI Platform (2023). Asia: Babies Clothing and Accessories (Not Knitted or Crocheted) 2007-2024 [Dataset]. https://app.indexbox.io/table/6209/966/
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    Dataset updated
    Feb 11, 2023
    Dataset provided by
    IndexBox
    Authors
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2024
    Area covered
    Asia
    Description

    Statistics illustrates consumption, production, prices, and trade of Babies Clothing and Accessories (Not Knitted or Crocheted) in Asia from 2007 to 2024.

  18. Best fashion trends to come out of the past 50 years 2013 survey

    • statista.com
    Updated Nov 19, 2013
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    Statista (2013). Best fashion trends to come out of the past 50 years 2013 survey [Dataset]. https://www.statista.com/statistics/284900/best-fashion-trends-to-come-out-of-the-past-50-years-survey/
    Explore at:
    Dataset updated
    Nov 19, 2013
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Nov 4, 2013 - Nov 6, 2013
    Area covered
    United States
    Description

    The statistic presents the result of the survey concerned with the best fashion trends to come out of the past 50 years. 46 percent of the male respondents said that the bikini was the best fashion trend to come out of the past 50 years.

  19. Argentina: Babies Clothing and Accessories (Not Knitted or Crocheted)...

    • app.indexbox.io
    Updated Sep 1, 2022
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    IndexBox AI Platform (2022). Argentina: Babies Clothing and Accessories (Not Knitted or Crocheted) 2007-2024 [Dataset]. https://app.indexbox.io/table/6209/32/
    Explore at:
    Dataset updated
    Sep 1, 2022
    Dataset provided by
    IndexBox
    Authors
    IndexBox AI Platform
    License

    Attribution-NoDerivs 3.0 (CC BY-ND 3.0)https://creativecommons.org/licenses/by-nd/3.0/
    License information was derived automatically

    Time period covered
    Jan 1, 2007 - Dec 31, 2024
    Area covered
    Argentina
    Description

    Statistics illustrates consumption, production, prices, and trade of Babies Clothing and Accessories (Not Knitted or Crocheted) in Argentina from 2007 to 2024.

  20. v

    Global import data of Fashion Trim

    • volza.com
    csv
    Updated Feb 17, 2025
    + more versions
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    Volza.LLC (2025). Global import data of Fashion Trim [Dataset]. https://www.volza.com/imports-vietnam/vietnam-import-data-of-fashion+trim
    Explore at:
    csvAvailable download formats
    Dataset updated
    Feb 17, 2025
    Dataset provided by
    Volza.LLC
    License

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

    Variables measured
    Count of importers, Sum of import value, 2014-01-01/2021-09-30, Count of import shipments
    Description

    224 Global import shipment records of Fashion Trim with prices, volume & current Buyer's suppliers relationships based on actual Global export trade database.

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Statista (2022). Consumers' main means of expression through fashion in the U.S. in 2022 [Dataset]. https://www.statista.com/statistics/1331414/fashion-means-of-expression-us/
Organization logo

Consumers' main means of expression through fashion in the U.S. in 2022

Explore at:
Dataset updated
Sep 6, 2022
Dataset authored and provided by
Statistahttp://statista.com/
Time period covered
May 2022 - Aug 2022
Area covered
United States
Description

According to a survey conducted in summer 2022, the main means of expression fashion consumers in the U.S. wished to convey through their clothing was their personality. 28 percent of fashion shoppers looked to convey their emotions through the way they dressed.

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