SAS IS A LEADER

IDC MarketScape: Worldwide Decision Intelligence Platforms, 2026

SAS allows customers to integrate commercial, open source or privately hosted language models alongside its Copilot assistant. Generative and agentic capabilities are embedded as governed steps within decision flows rather than operating autonomously. SAS' strengths include:

  • Hybrid decisioning architecture,
  • Governance and explainability, and
  • Entity resolution and graph analytics.

IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of technology and suppliers in a given market. The research methodology utilizes a rigorous scoring methodology based on both qualitative and quantitative criteria that results in a single graphical illustration of each supplier’s position within a given market. The Capabilities score measures supplier product, go-to-market and business execution in the short-term. The Strategy score measures alignment of supplier strategies with customer requirements in a 3-5-year timeframe. Supplier market share is represented by the size of the icons.

Consider SAS if you are seeking a platform that can run identical decision logic across cloud, on-premises and edge deployments without rewriting. It also suits multinational enterprises managing data residency requirements across jurisdictions. The platform can keep generative and agentic AI subordinate to governed rules and constraints rather than allowing them to act autonomously. It will appeal to organizations in banking, insurance, health care, government or manufacturing that need decision logic to be explainable, auditable and defensible to regulators."

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FAQs

What is the IDC MarketScape: Worldwide Decision Intelligence Platforms report?

It’s an independent analysis that evaluates decision intelligence solutions, assessing vendor strengths and market trends.

Why is SAS recognized as a Leader?

The platform combines business rules, machine learning models, mathematical optimization and large language model calls within a single orchestrated flow, allowing decision logic to be authored once and deployed in real-time without rewriting.

How can SAS help my organization with decision intelligence?

SAS puts decision intelligence into action by using AI, analytics and business rules to automate operational decisions such as fraud detection, credit evaluation, claims processing and customer experience personalization.

What does "decision intelligence" mean?

According to SAS, decision intelligence helps you turn data-driven insights into better business decisions. By combining data, analytics, AI, business rules and human judgment, it enables more informed, consistent and timely decisions across strategic, tactical and operational processes.