SAS is a global data and AI software company that helps organizations turn complex data into trusted insight, operational decisions and measurable business outcomes. Its portfolio spans data management, advanced analytics, AI and machine learning, decision intelligence, customer engagement and industry-focused applications.
At the center of the portfolio is SAS Viya, a cloud-native platform designed to support the full data and AI life cycle, from data access and preparation through model development, deployment and governance. SAS serves both technical and business users with software that can run in public cloud, hybrid and on-premises environments, with a strong emphasis on transparency, control and responsible AI. That positioning makes SAS relevant to organizations modernizing legacy analytics estates as well as teams building new AI workflows.
Offerings, Capabilities, and Integrations
SAS combines code-first, low-code and no-code experiences so data scientists, analysts, developers and business users can work in a shared environment. Its capabilities cover data access and integration, data quality and governance, visualization and reporting, machine learning, real-time event analysis, operational decisioning, customer journey orchestration and IoT analytics.
The portfolio is built for open, enterprise deployment models. SAS supports SAS and open-source languages such as Python and R, exposes APIs and containerized services, and integrates with major cloud infrastructure, cloud data platforms and Microsoft productivity and workflow environments. This gives organizations flexibility to embed analytics into applications, automate decisions and scale AI workloads without forcing teams into a single working style.
Products and Services
- SAS Viya: Cloud-native data and AI platform that unifies data management, analytics, AI development, deployment and governance across the full life cycle.
- SAS Viya Workbench: Standalone developer environment for building high-performance analytical and AI models with SAS, Python or R in Visual Studio Code and Jupyter-based interfaces.
- SAS Visual Analytics: Self-service reporting, dashboarding and augmented analytics application for exploring data and sharing business insights.
- SAS Model Studio: Browser-based environment for building, comparing and deploying machine learning models with low-code and no-code workflows.
- SAS Intelligent Decisioning: Decision intelligence software that combines analytics, AI and business rules to automate operational and customer decisions at scale.
- SAS Customer Intelligence 360: Customer engagement platform for orchestrating and personalizing interactions across channels using unified customer data and analytics.
- SAS Event Stream Processing: Streaming analytics software for ingesting, analyzing and acting on high-volume event data in real time.
- SAS Information Governance: Information governance offering for discovering, cataloging, classifying and tracing analytics assets so teams can improve trust, compliance and reuse.
- SAS Data Engineering: Packaged data engineering offering for accessing, preparing, governing and serving high-quality data across on-premises and cloud environments.
- SAS Analytics for IoT: IoT analytics application that combines sensor data, streaming analytics and AI to improve monitoring, prediction and operational performance.
- SAS Viya Copilot: Native generative AI assistant in SAS Viya that turns natural language into analytical actions, code assistance, recommendations and explanations.
- SAS Model Manager: Model life cycle management software for governing, organizing, monitoring and publishing analytical models in production.
- SAS Data Engineering Advanced: Extended data engineering offering that adds governed decisioning capabilities to help operationalize data workflows and business rules.
Target Customers
SAS primarily serves enterprises and regulated organizations that need strong governance, explainability and operational reliability alongside advanced analytics. Core customer segments span banking, insurance, public sector, health care, life sciences, manufacturing, retail and consumer goods, education, and midsize organizations pursuing modern analytics programs.
Within those accounts, SAS addresses multiple buyer groups: data scientists and machine learning engineers building models; data engineers and IT teams managing pipelines and deployment; analysts and business users exploring data and dashboards; and functional teams in marketing, risk, fraud, operations and connected-asset environments that need analytics embedded into day-to-day decision-making. It is also well aligned to organizations moving from legacy SAS environments to cloud-native operating models.
Cloud Integrations and Marketplace
- AWS Marketplace: SAS maintains AWS Marketplace presence with SAS-authored listings including SAS Software on AWS and SAS Viya Workbench, alongside native deployment support for SAS Viya on AWS.
- Azure Marketplace: SAS maintains Azure Marketplace presence with SAS Viya offerings in pay-as-you-go, self-managed and SAS-managed forms, plus SAS Decision Builder on Microsoft Fabric and SAS Viya Workbench deployment options.
- Google Cloud: SAS supports native deployment of SAS Viya on Google Cloud, with integrations designed for Google Cloud services such as Kubernetes-based infrastructure and BigQuery-oriented data workflows.
Key People
- Jim Goodnight: Co-Founder & Chief Executive Officer
- John Sall: Co-Founder & Executive Vice President
- Gavin Day: Executive Vice President & Chief Operating Officer
- Bryan Harris: Executive Vice President & Chief Technology Officer
- Matt Parson: Executive Vice President & Chief Financial Officer
- Riad Gydien: Executive Vice President & Chief Sales Officer
- Patricia Brown: Executive Vice President & Chief Legal Officer
- Jennifer Chase: Executive Vice President & Chief Marketing Officer
- Jenn Mann: Executive Vice President & Chief Human Resources Officer
- Jay Upchurch: Executive Vice President & Chief Information Officer
- Trish Dowty: Executive Vice President & Chief Corporate Services Officer
Key Facts
- Headquarters: Cary, North Carolina, United States
- Employees: Approximately 11,000
- Annual Revenue: $3B+
- Parent Company: None
- Subsidiaries: Multiple controlled sales and R&D subsidiaries worldwide, including JMP and IDeaS.
- Publicly Listed: Private
Analyst Recognitions
- Gartner: Leader in Gartner Magic Quadrant for Decision Intelligence Platforms, 2026. Emerging Leader in Gartner Emerging Market Quadrant for Generative AI Engineering, 2025. Leader in Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 2024.
- Forrester: Leader in The Forrester Wave: Customer Analytics Technologies, Q2 2026. Leader in The Forrester Wave: Real-Time Interaction Management Software, Q4 2025. Leader in The Forrester Wave: Anti-Money Laundering Solutions, Q2 2025. Leader in The Forrester Wave: AI/ML Platforms, Q3 2024.
- IDC: Leader in IDC MarketScape: Worldwide Data Integration Software Platforms 2025 Vendor Assessment. Leader in IDC MarketScape: Worldwide Customer Analytics Applications 2025. Leader in IDC MarketScape: Worldwide Decision Intelligence Platforms 2024 Vendor Assessment. Leader in IDC MarketScape: Worldwide Machine Learning Operations Platforms 2024 Vendor Assessment.
