As AI becomes more deeply embedded in the enterprise, analytics is taking on a more active role. It must do more than explain the business. It has to help people understand what is happening, decide what comes next, and act faster.
In our view, Oracle’s recognition as a Visionary in the 2026 Gartner Magic Quadrant for Analytics and Business Intelligence Platforms reflects the progress we are making as analytics and AI become more connected.
To get more value from AI, customers need analytics grounded in how their business actually works, connected to the systems, data, workflows, and context that shape better decisions. Oracle Analytics plays a central role in meeting that need, alongside Oracle AI Data Platform and Fusion Data Intelligence.
Here are the priorities guiding Oracle’s continued investment across analytics and AI:
• A connected foundation for analytics and AI
Oracle Analytics is part of Oracle AI Data Platform, bringing analytics together with data lake, data warehouse, and AI services in OCI so organizations can work from trusted insight across the enterprise.
• A broader view of the business
Oracle Analytics Cloud uses OCI AI services to help teams analyze structured enterprise data alongside unstructured content such as PDFs, documents, and images, giving them a more complete view with less manual preparation.
• Insights closer to decisions
Fusion Data Intelligence delivers prebuilt, role-based analytics for Fusion Applications, helping customers bring insight into ERP, HCM, SCM, and CX workflows where decisions and actions happen.
• AI assistance for more users
Oracle Analytics Cloud includes role-specific AI assistants for analysts, business users, and data engineers, helping more people ask questions, discover insights, create visualizations, and prepare data with greater ease.
• Analytics for industries and business domains
Oracle continues to invest in packaged analytics and intelligence capabilities for industries and functions including finance, supply chain, HR, healthcare, energy, and life sciences, helping teams work with insight shaped for their domain.
• Action built into analytics
Oracle Analytics helps people move from seeing what is happening to doing something about it. With data actions, users can take the next step directly from an insight, whether that means opening a related business record, sharing context with another application, or starting a follow-up process.
We appreciate Gartner’s ongoing research and evaluation of the analytics and business intelligence market and we’re grateful to our customers, partners, and community for the collaboration and feedback that continue to shape our work.
As analytics and AI become increasingly inseparable, the goal is clear: help organizations make trusted insight a more active force in the business. Oracle remains committed to making this possible by connecting analytics and AI to the data, context, and workflows where action happens.