The company states that the scale of its commercial data assets exceeds that of any other business-to-business data provider, and it layers proprietary scores, analytics, and early-warning signals on that base. More than 60 billion monthly data quality checks run across the dataset according to company disclosures.

Dun & Bradstreet reports serving nearly 90 percent of the Fortune 500, with many top clients maintaining relationships of more than 20 years. A worldwide network of partners extends delivery of its identity, risk, and marketing data into additional markets and applications.

Enterprise adoption of artificial intelligence continues to rise. In the quarterly survey of about 10,000 businesses run by the company, most enterprises reported returns on their AI investments, while data readiness lagged, with only about 6 percent describing their data as fully ready for AI workloads.

Demand is growing for verified business identity data that grounds AI systems in accurate company records. In financial services, providers are preparing for AI-driven cybersecurity and fraud risks in 2026, where data quality remains a barrier to deployment.

Dun & Bradstreet provides business decisioning data and analytics built around persistent business identity, anchored on the D-U-N-S Number, a nine-digit identifier assigned to individual companies. The D&B Commercial Graph connects those identities so firms can evaluate risk, resolve master data, and pursue growth across markets.

The company reports data assets covering more than 600 million business entities and 500 million contacts across more than 220 countries and territories, with over 65 million corporate hierarchies mapped. Solution families span risk, finance, sales and marketing growth, master data management, and an AI ecosystem.