**Data as a service** (**DaaS**) is a [[Cloud computing|cloud-based]] [[Data management|data management]] strategy in which [[Data (computing)|data]] is provided to users on demand, regardless of geographic or organizational separation between provider and consumer. As a member of the broader "[[as a service]]" family of cloud delivery models, DaaS builds on [[Software as a service|software as a service]] (SaaS) and related paradigms by treating data itself as the primary product, typically delivered through [[Web service|web services]] and [[Application programming interface|APIs]]. DaaS emerged as organizations recognized the value of centralizing and commoditizing data assets rather than maintaining fragmented, siloed data stores. Providers aggregate, cleanse, and enrich data from multiple sources and offer it to consumers through standardized interfaces, often on a subscription or pay-per-use basis. Common use cases include [[Market data|financial market data]] feeds, [[Geospatial data|geospatial data]], [[Demographic data|demographic]] and [[Consumer data|consumer data]] for [[Marketing|marketing analytics]], and [[Reference data|reference data]] services. DaaS is closely related to concepts such as [[Data product|data products]], [[Data marketplace|data marketplaces]], and [[Data virtualization|data virtualization]], which enable access to distributed data without requiring physical consolidation. The adoption of DaaS has accelerated alongside broader trends in [[Big data|big data]], [[Data governance|data governance]], and [[Cloud computing|cloud infrastructure]]. Organizations use DaaS to reduce the cost and complexity of data integration, improve [[Data quality|data quality]] and consistency, and accelerate [[Business intelligence|business intelligence]] and [[Data analysis|analytics]] initiatives. Challenges associated with DaaS include [[Data privacy|data privacy]] and [[Regulatory compliance|regulatory compliance]], [[Vendor lock-in|vendor lock-in]], [[Network latency|latency]], and ensuring adequate [[Information security|data security]] across organizational boundaries.