A comprehensive dataset providing insights into the fashion industry, including market size, employment statistics, trends, and analysis on the apparel sector for 2025.

A 2022 survey of fashion company executives revealed that nearly seven in ten fashion brands were using social media in order to engage with their consumers, while ** percent were using email marketing, followed by ** percent using paid search, like Google advertisements.

ZARA UK Fashion Dataset offers an extensive collection of fashion product data from ZARA's UK online store, providing a detailed overview of available items. This dataset is valuable for analyzing the European fashion retail market, particularly in the UK, and includes fields such as product titles, URLs, SKUs, MPNs, brands, prices, currency, images, breadcrumbs, country, availability, unique IDs, and timestamps for when the data was scraped.

Key Features:

• Product Details: Includes title, URL, SKU (Stock Keeping Unit), MPN (Manufacturer Part Number), and brand for each product, helping to uniquely identify and differentiate items.
• Pricing Information: Features the price of each product along with the currency used (GBP) to understand the pricing strategies of ZARA in the UK market.
• Visual Data: High-quality images of each product, essential for visual merchandising analysis and online consumer behavior studies.
• Categorical Information: Breadcrumbs data provide context on the product's placement within ZARA's website structure, helping to analyze navigation and product hierarchy.
• Geographical Focus: Specific to the UK market, making it relevant for studies on British fashion retail and consumer trends.
• Availability Status: Includes real-time availability data, which is crucial for understanding stock levels, popular products, and restocking practices.
• Unique Identifiers: Each product is tagged with a uniq_id, ensuring data integrity and making it easier to track and analyze over time.
• Data Collection Timestamp: The scraped_at field records the exact time and date when the data was collected, aiding in time-based analysis of inventory and pricing.

Potential Use Cases:

• Market Research: Analyze UK and European fashion trends, consumer preferences, and competitive positioning within the fast fashion sector.
• E-commerce Analysis: Study ZARA's product placement, pricing, and availability to optimize online retail strategies.
• Stock Management: Use SKU and availability data to predict inventory needs and enhance supply chain efficiency.
• Brand Analysis: Examine the impact of brand identity on consumer choices and product performance in the UK market.
• Academic Research: Ideal for research projects focused on fashion retail, marketing strategies, and consumer behavior in Europe.

Data Sources:

The data is meticulously collected from ZARA's official UK website and other reliable retail databases, reflecting the latest product offerings and market dynamics specific to the UK and European fashion markets.

• ZARA US Retail Products Dataset: Explore over 10,000 product records from ZARA's USA online store, including titles, prices, images, and availability.
  
  
• Fashion Products Dataset from GAP.com: Access detailed product information from GAP's online store, featuring over 4,500 fashion items with attributes like price, brand, color, reviews, and images.
  
  
• Myntra Fashion Products Dataset: A comprehensive dataset from Myntra.com, offering over 12,000 fashion products with detailed attributes for in-depth analysis.

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. ** percent of fashion shoppers looked to convey their emotions through the way they dressed.

Fashion-MNIST is a dataset comprising of 28×28 grayscale images of 70,000 fashion products from 10 categories, with 7,000 images per category. The training set has 60,000 images and the test set has 10,000 images. Fashion-MNIST shares the same image size, data format and the structure of training and testing splits with the original MNIST.

Snapshot img

Fast Fashion Market Size 2025-2029

The fast fashion market size is forecast to increase by USD 79.2 billion, at a CAGR of 11% between 2024 and 2029.

The market is experiencing significant growth, driven primarily by the increasing demand from burgeoning youth populations worldwide. This demographic seeks affordable, trendy clothing, making fast fashion an attractive option. Another key trend shaping the market is the rise in social media marketing. Brands are leveraging social media platforms to reach wider audiences and engage with customers, driving sales and brand loyalty. However, the market faces challenges as well. The availability of counterfeit fast fashion products poses a significant threat, as consumers are often unable to distinguish between authentic and fake items. This not only harms brand reputation but also undermines the industry's ethical standards.
Companies must invest in robust brand protection strategies to mitigate this risk and maintain consumer trust. In summary, the market is characterized by strong demand, innovative marketing strategies, and challenges related to counterfeit products. Companies seeking to capitalize on opportunities and navigate challenges effectively must stay agile, focus on brand protection, and maintain transparency with consumers.

What will be the Size of the Fast Fashion Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

The market continues to evolve, shaped by dynamic market dynamics and various sectoral applications. Omnichannel retailing and quality control are key focus areas, with data analytics playing a pivotal role in supply chain management and trend forecasting. Water consumption is a significant concern, leading to sustainability initiatives and resource efficiency. Promotional campaigns, sewing technology, and impulse buying drive sales, while dyeing and finishing techniques and printing methods add value. Retail partnerships and market penetration strategies expand reach, and supply chain disruptions necessitate effective logistics and distribution. Ethical sourcing and textile waste management are crucial components of the circular economy. Brands employ various pricing strategies, from online advertising to e-commerce platforms, to attract and retain customer loyalty.

Intellectual property protection and brand reputation management are essential in the face of counterfeit goods and labor practices scrutiny. The fast fashion landscape is ever-changing, with design trends and fabric technology shaping the industry's future.

How is this Fast Fashion Industry segmented?

The fast fashion industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Gender

  Female
  Male


Distribution Channel

  Offline
  Online


Product Type

  Apparel
  Footwear
  Accessories


Consumer Demographics

  Adults
  Teen
  Kids


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    Italy
    UK


  Middle East and Africa

    UAE


  APAC

    China
    India
    Japan


  South America

    Brazil


  Rest of World (ROW)

By Gender Insights

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

Request Free Sample

The Female segment was valued at USD 53.30 billion in 2019 and showed a gradual increase during the forecast period.

Regional Analysis

North America is estimated to contribute 53% 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.

Request Free Sample

In the dynamic North American market, the fast fashion sector continues to expand, fueled by a growing population, increasing disposable income, and shifting consumer preferences. The US and Canada remain key players, attracting numerous international companies with affordable offerings. Working women, in particular, are driving demand for trendy apparel. companies are catering to local tastes through customization and innovation. The market is fragmented, with significant growth anticipated in the US and Canada due to their expanding populations. Pattern making and garment construction are crucial aspects of fast fashion production, ensuring efficiency and quick turnaround times. Digital marketing and influencer partnerships have become essential strategies for reaching consumers and promoting brands.

Sustainability initiatives, such as recycling programs and water conservation efforts, are gaining traction, addressing concerns around the industry's environmental imp

📜 Dataset Overview

This dataset contains 3,400 records of fashion retail sales, capturing various details about customer purchases, including item details, purchase amounts, ratings, and payment methods. It is useful for analyzing customer buying behavior, product popularity, and payment preferences.

📂 Dataset Details

🔍 Key Insights

• The dataset contains 3,400 transactions.
• Missing values are present in:
  • Purchase Amount (USD): 650 missing values
  • Review Rating: 324 missing values
• Payment Method includes multiple categories, allowing analysis of payment trends.
• Date Purchase is in DD-MM-YYYY format, which can be useful for time-series analysis.
• The dataset can help analyze sales trends, customer preferences, and payment behaviors in the fashion retail industry.

📊 Potential Use Cases

• Sales Analysis: Understanding which fashion items are selling the most.
• Customer Insights: Analyzing purchase behaviors and spending patterns.
• Trend Forecasting: Identifying seasonal trends in fashion retail.
• Payment Method Preferences: Understanding how customers prefer to pay.

Introduction

Fashion Industry Statistics:Â The fast Fashion industry has experienced exponential growth, producing approximately 100 billion garments annually. This surge in production has led to significant environmental consequences, with the industry responsible for about 10% of global carbon emissions, surpassing the combined emissions from international flights and maritime shipping. Additionally, it accounts for 20% of global wastewater, primarily due to dyeing and finishing processes

Water consumption in fashion is staggering; manufacturing a single cotton shirt requires around 700 gallons of water, while a pair of jeans demands approximately 2,000 gallons. Annually, the industry utilizes about 93 billion cubic meters of water, exacerbating water scarcity issues worldwide.

Waste generation is another pressing concern. Out of the 100 billion garments produced each year, 92 million tonnes end up in landfills, equating to a truckload of textiles discarded every second. Moreover, over 50% of fast fashion items are disposed of within a year of purchase, highlighting the industry's contribution to the throwaway culture

Social implications are equally alarming. The fashion sector employs over 80 million workers globally, many of whom are young women from impoverished backgrounds. Reports have surfaced of laborers working up to 75 hours a week for as little as one cent per garment, underscoring the exploitation prevalent in the industry.

These statistics illuminate the profound environmental and social impacts of fast fashion, emphasizing the urgent need for more sustainable practices within the industry. However, sales technology is having a huge impact on customer behavior across the globe. In this article, we shed more light on the fashion industry statistics.

Fashion-MNIST is a dataset of Zalando's article images consisting of a training set of 60,000 examples and a test set of 10,000 examples. Each example is a 28x28 grayscale image, associated with a label from 10 classes.

To use this dataset:

import tensorflow_datasets as tfds

ds = tfds.load('fashion_mnist', split='train')
for ex in ds.take(4):
 print(ex)

See the guide for more informations on tensorflow_datasets.

https://storage.googleapis.com/tfds-data/visualization/fig/fashion_mnist-3.0.1.png" alt="Visualization" width="500px">

Unlock a curated dataset of 18,000+ fashion products from Farfetch, a leading global fashion platform. This dataset covers high-end and emerging designer brands across men's, women's, and unisex categories — perfect for powering retail analytics, trend detection, and AI-driven fashion applications.

Whether you're building a product matching engine, conducting price intelligence, or training recommendation systems, this structured dataset gives you direct insight into global luxury retail at scale.

Delivered clean, deduplicated, and crawl-ready, it supports both market researchers and developers working in ecommerce, fashion tech, or retail platforms.

Use Cases

• Competitive price analysis and product benchmarking

• Fashion trend prediction and forecasting

• Retail catalog enrichment or matching

• Cross-platform brand visibility comparison

• AI/ML model training (e.g., recommendation engines)

• Inventory and availability tracking for luxury fashion

The global artificial intelligence in fashion market amounted to *** million U.S. dollars in 2018 and was expected to grow at a CAGR of **** percent during the forecast period from 2019 to 2027, to amount to *** billion U.S. dollars by 2027.

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%.

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.

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

Snapshot img

US Online Fashion Retail Market Size 2025-2029

The us online fashion retail market size is forecast to increase by USD 303.9 billion at a CAGR of 15.6% between 2024 and 2029.

The Online Fashion Retail Market in the US is experiencing significant growth, driven by the rising trend of online shopping and the increasing popularity of sports apparel and footwear. Consumers are increasingly turning to the convenience and accessibility of online platforms to meet their fashion needs. The sports apparel and footwear industry's growth is further fueling market expansion, as consumers seek out the latest trends and styles in athletic wear. However, this market is not without challenges. Security and privacy concerns related to consumer data have emerged as a significant obstacle. With the increasing amount of personal information being shared online, retailers must prioritize data protection and privacy to maintain consumer trust. Failure to do so could result in reputational damage and lost sales. Retailers must invest in robust cybersecurity measures and transparent data handling practices to mitigate these risks and capitalize on the market's potential.

What will be the size of the US Online Fashion Retail Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
Request Free Sample

In the dynamic US online fashion retail market, high-end fashion brands are embracing e-commerce optimization, leveraging data analytics tools to personalize shopping experiences and boost sales. Blockchain technology is revolutionizing the industry by ensuring supply chain transparency and ethical production, resonating with consumers' growing demand for sustainable sourcing. Resale platforms and second-hand clothing are gaining traction, as unisex fashion and body positivity continue to influence purchasing decisions. Performance marketing, affiliate marketing, and social commerce are key strategies driving growth, with fashion photography and fashion blogging shaping consumer trends. Brands prioritize customer data privacy while implementing customer loyalty programs and subscription services. Trend analysis, size inclusivity, and fashion forecasting are essential components of successful digital marketing automation. Luxury goods and vintage fashion are thriving, with mobile wallet integration streamlining transactions. Omnichannel retail, fashion journalism, fashion styling, and live streaming are shaping the future of the industry.

How is this market segmented?

The market research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments. End-userWomenMenKidsProductApparelFootwearsBags and accessoriesTypeMass marketPremiumLuxuryPlatformMobile AppsWeb PortalsPrice RangeEconomyMid-RangePremiumGeographyNorth AmericaUS

By End-user Insights

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

The online fashion retail market in the US is experiencing significant growth, driven by several key trends and factors. Product reviews and customer satisfaction play a crucial role in influencing purchasing decisions, with consumers relying on authentic feedback to make informed choices. Influencer marketing is also a major force, as fashion influencers and celebrities shape trends and promote products through social media channels. Virtual reality and augmented reality technologies are transforming the shopping experience, allowing customers to virtually try on clothes and visualize how they would look. Big data and recommendation algorithms are being leveraged to personalize shopping experiences, while trend forecasting ensures that retailers stay ahead of the curve. Content marketing, machine learning, and data analytics are essential tools for fashion brands, helping them to understand customer preferences and tailor their offerings accordingly. Textile suppliers and apparel manufacturers are integrating sustainable practices to cater to the growing demand for eco-friendly fashion. Mobile commerce and mobile app development are critical for reaching customers on the go, with mobile responsiveness and user interface design key considerations. Conversion rate optimization, data security, and payment gateways are essential for ensuring a seamless shopping experience. Customer service, inventory management, order fulfillment, and shipping logistics are all crucial components of a successful online fashion retail business. Social media marketing, email marketing, and fashion designers collaborations are effective strategies for reaching and engaging customers. Size and fit, fast fashion, and formal wear are popular categories, with quality control an

Number of Businesses statistics on the Fashion Designers industry in United States

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

This dataset contains images (scenes) containing fashion products, which are labeled with bounding boxes and links to the corresponding products.

Metadata includes

• product IDs

• bounding boxes

Basic Statistics:

• Scenes: 47,739

• Products: 38,111

• Scene-Product Pairs: 93,274

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...

Number of Businesses statistics on the Fast Fashion industry in United Kingdom