When people hear the term data broker, they often think about companies that buy and sell personal information.
And that's correct.
A data broker is a company that collects information from multiple sources, combines it, and provides it to other organizations for purposes such as marketing, analytics, fraud prevention, risk assessment, and business intelligence.
The data may come from publicly available records, commercial partners, websites, apps, surveys, loyalty programs, or other legally available sources.
The goal isn't simply to collect data—it's to make it more valuable by aggregating, enriching, and organizing it.
This is where data brokers are often confused with AI data providers.
An AI dataset provider prepares datasets for training machine learning models, while a traditional data broker focuses on collecting and packaging information for business use. Although both work with data, they serve different purposes and operate under different business models.
As data becomes one of the world's most valuable assets, understanding where it comes from, who collects it, and under what legal framework it is shared is becoming just as important as understanding the data itself.