Best Fashion & Apparel Datasets & Database Sources
What is Fashion & Apparel Data?
Fashion and apparel data refers to information and statistics related to the clothing and fashion industry. It includes data on trends, styles, designs, materials, sizes, pricing, sales, and consumer preferences. This data is collected from various sources such as retail stores, e-commerce platforms, fashion shows, social media, and surveys. Analyzing fashion and apparel data helps businesses make informed decisions regarding product development, marketing strategies, inventory management, and forecasting demand. In this page, you’ll find the best data sources for fashion and apparel data.
Best Fashion & Apparel Datasets & APIs
Apparel & Fashion Product Sales Volume Data
Fashion Market Trends | Apparel Data Insights | Competitive Analysis | Custom Web Scraping Services | Actionable Data | 42Signals
Consumer Edge Apparel, Accessories, Footwear Transaction Data | USA Data | 100M Credit & Debit Cards, 12K Merchants, 800 Parent Companies, 600 Tickers
Pixta AI | Imagery Data | Global | 5,000 Stock Images | Annotation and Labelling Services Provided | E-commerce apparel images for AI & ML
Locationscloud - Apparel & Accessories Stores Location Data | Complete List of All Apparel & Accessories Stores Locations | USA | Canada | UK
PromptCloud Global Fashion & Apparel Data | Product Listings Data | Ecommerce Datasets | Amazon Listings Data | 99% Data Quality | PromptCloud
Edison Trends Retail + Apparel - Transaction Data from E-Receipts for USA, UK, Canada, Australia, India & Singapore
Market Research Data: 230M+ Global Locations | Xverum | 30+ Data Attributes per Location | Continuous Refresh | 100% Safely Sourced Places | WW POIs
FileMarket | 10,000 HQ Model Images from Multiple Angles for AI | LLM | ML | DL Training Data
Prosper: US Signals – Retail Economy & Consumer Spending Forecast
Monetize data on Datarade Marketplace
Top Fashion & Apparel Data Providers
When sourcing for fashion apparel data providers, consider their data accuracy, coverage, and relevance to your specific needs. Evaluate their data collection methods, update frequency, and data formats. Also, assess their reputation and pricing to ensure a reliable and cost-effective partnership.