The Data as a Service (DaaS) Market Forecast points to resilient multi-year expansion as external data becomes a staple of analytics, AI, and automation. Organizations plan larger, multi-domain data portfolios spanning identity, intent, risk, location, climate, and supply chain telemetry. Forecast models anticipate rising consumption-based revenues, broader marketplace participation, and widening vertical specialization. Macro uncertainty—supply shifts, regulatory change, and AI disruption—actually elevates demand for timely, high-fidelity data to de-risk decisions.

Scenario planning dominates boardroom priorities, and DaaS providers position as critical inputs to these models. Bull cases rely on accelerated AI adoption, edge growth, and standard contracts that simplify compliance; bear cases weigh data sovereignty barriers or budget caution. Even in conservative scenarios, existing deployments expand as teams formalize data product SLAs and expand to adjacent datasets. Price-performance improvements in cloud platforms further reduce unit economics, enabling greater breadth and depth of data consumption.

Forecasts also highlight geographic nuances: North America remains the largest buyer; Europe emphasizes compliant sharing under strict privacy regimes; Asia-Pacific benefits from rapid digitization, super-app ecosystems, and government-led innovation. Providers will invest in local hosting options, regional partnerships, and language-specific datasets to unlock these markets. Over the forecast horizon, expect DaaS to integrate more tightly with SaaS and MLOps tooling, deliver richer prebuilt features for model acceleration, and package outcomes-based offerings that tie subscriptions to measurable business impact.