Data marketplaces and exchanges provide infrastructure, transactional capabilities and services for consumers and providers of data assets. Marketplaces prioritize data monetization via one-time or recurring subscription transactions, while exchanges prioritize sharing. Internal data exchanges facilitate enterprise data sharing and remove silos to cross-organization data product provision and access. AI’s need for large, varied and specialized datasets to train models has increased the demand for greater convenience in data sharing, purchase and consumption. Although adoption remains in the early phases, they provide liquidity to the data products space, enabling the sale, purchase or exchange of data products with relative ease. They enable secure multi‑party collaboration across partners, suppliers, and regulators, supported by strong data governance frameworks that ensure lineage tracking, policy enforcement, and stewardship consistency. Data Marketplaces and Data Exchanges are typically used by data scientists, analysts, product strategists, and business teams who need high‑quality internal or external datasets for analytics, AI modeling, and decision‑making