Let data providers come to you!

Post your request to reach 1240+ data providers and find the best match for your data needs

How it works

Tell us what you need
2-3 mins
Receive proposals
within 24 hours
Connect with providers
Post request now
Post your data request
Filter by

10 Fashion Datasets for Trend Analysis and Forecasting: Unveiling the Best Resources

Fashion datasets are collections of data related to various aspects of the fashion industry, such as clothing items, accessories, images, and customer preferences. These datasets are used for various purposes, including trend analysis, recommendation systems, image recognition, and market research in the fashion domain. They typically include information like product attributes, prices, customer reviews, and images, which can be analyzed to gain insights and make informed decisions in the fashion industry.

31 results
Logo of Success.ai

Fashion & Apparel Data | Apparel, Fashion & Luxury Goods Professionals in Asia | Verified Global Profiles from 700M+ Dataset

by Success.ai
5.0
Company Name
Company Employee Count
Company Industry
Contact Job Title
Contact LinkedIn
and 12 more attributes
Available in
India
China
Japan
South Korea
Indonesia
and 46 more countries
Logo of Measurable AI

Temu and Fast Fashion E-Receipt Data | Consumer Transaction Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data | 23+ Countries

by Measurable AI
Available in
USA
Japan
Brazil
Mexico
Argentina
and 2 more countries
Logo of Particl

Apparel & Fashion Product Sales Volume Data

by Particl
4.9
Company Name
Product URL
Product ID
Available in
USA
UK
Canada
Australia
Logo of Consumer Edge

Transact US Fashion & Apparel, Accessories, Footwear Transaction Data | Retail Store Data, Online Data | 100M Credit & Debit Cards, 600 Tickers

by Consumer Edge
Available in
USA
Logo of Growth Marketing

Ecommerce Customer Data - Fashion Industry - DE (>1mln)

by Growth Marketing
Available in
Italy
Logo of Success.ai

Fashion & Apparel Data | Apparel, Fashion & Luxury Goods Professionals in North America | Verified Global Profiles from 700M+ Dataset

by Success.ai
5.0
Company Name
Company Employee Count
Company Industry
Contact Job Title
Contact LinkedIn
and 12 more attributes
Available in
USA
Canada
Mexico
Guatemala
Panama
and 8 more countries
Logo of CompCurve

US Consumer Demographics | Homeowners & Renters | Email & Mobile Phone | Bulk & Custom | 255M People

by CompCurve
5.0
Latitude
Available in
USA
Logo of Solution Publishing

B2B Company Data | 2.1M Biz Ops Contacts @183K US Companies | Business Professional Contact Data Sets | Verified Safe to Email

by Solution Publishing
5.0
Company Name
Company Employee Count
Company Industry
Contact Job Title
Contact LinkedIn
and 19 more attributes
Available in
USA
Logo of Measurable AI

Shein and Fast Fashion E-Receipt Data | Consumer Transaction Data | Asia, EMEA, LATAM, MENA, India | Granular & Aggregate Data | 23+ Countries

by Measurable AI
Available in
USA
Japan
Brazil
Mexico
Argentina
and 2 more countries
Logo of 99finder

99finder | Wholesalers, Importers & Distributors Database with 32M Companies | 150+ Countries | Verified Contact Details

by 99finder
Email Address
Available in
USA
UK
Germany
France
Italy
and 245 more countries

1. What is trend analysis and forecasting in the fashion industry?

Trend analysis and forecasting in the fashion industry refer to the process of analyzing historical and current fashion data to identify patterns, predict future trends, and make informed decisions about design, production, and marketing strategies.

2. Why is fashion trend analysis important?

Fashion trend analysis is crucial for businesses in the fashion industry as it helps them stay ahead of the competition, understand consumer preferences, and make data-driven decisions. By analyzing fashion datasets, businesses can identify emerging trends, forecast demand, optimize inventory management, and create successful marketing campaigns.

3. What are fashion datasets?

Fashion datasets are collections of structured data that contain information related to various aspects of the fashion industry, such as clothing attributes, consumer behavior, sales data, social media trends, and more. These datasets are valuable resources for trend analysis and forecasting purposes.

4. How can fashion datasets be used for trend analysis and forecasting?

Fashion datasets can be used to analyze historical trends, identify patterns, and predict future fashion trends. By applying statistical and machine learning techniques to these datasets, businesses can gain insights into consumer preferences, forecast demand, optimize production, and make informed decisions about product development and marketing strategies.

5. Where can I find fashion datasets for trend analysis and forecasting?

There are several sources where you can find fashion datasets for trend analysis and forecasting. Some popular sources include open data repositories, fashion industry research organizations, academic institutions, and commercial data providers. Additionally, some fashion brands and retailers may also provide access to their proprietary datasets for research purposes.