SAS Institute Named Top-Tier Software Vendor by APPS RUN THE WORLD in the APPS TOP 500 Market Report

SAS Institute Strengths, Domain Expertise, and Key Differentiators

SAS stands as a global provider of AI and analytics software, offering specialized solutions tailored to various industries. Among its offerings is SAS Viya, a cutting-edge cloud-based in-memory analytics engine designed to empower businesses with actionable insights from their data. Leveraging AI capabilities, SAS Viya integrates visual analytics, statistical analysis, and data science into a comprehensive self-service analytics platform for enterprises. It boasts a standardized code base and supports programming languages such as R, Python, SAS, Java, and Lua, ensuring flexibility and interoperability across diverse analytical workflows.

In early 2025, SAS introduced the AI Governance Map, a strategic resource designed to assist organizations in evaluating and enhancing their AI governance maturity across four critical domains: oversight, compliance, operations, and culture. This initiative is part of SAS's expanding suite of AI governance solutions aimed at fostering responsible and effective AI deployment.

The AI Governance Map offers an online assessment tool that generates tailored reports and actionable recommendations, enabling organizations to identify their current governance status and chart a path toward robust AI governance practices. This approach allows for integration with existing technological infrastructures, facilitating a comprehensive AI governance lifecycle encompassing data governance, model monitoring, and compliance management.

Recognizing the diverse stages of AI maturity across organizations, SAS adopts a pragmatic approach by providing solutions that complement existing systems rather than necessitating complete overhauls. This strategy aims to strengthen trust in AI-driven decisions, streamline operations, and future-proof AI strategies. For organizations in highly regulated industries, such as banking, SAS offers specialized AI governance solutions built upon its validated Model Risk Management framework. Furthermore, SAS plans to launch a unified, holistic AI governance solution capable of aggregating, orchestrating, and monitoring AI systems, models, and agents. This forthcoming product is designed to align AI workflows with organizational policies, enhancing operational efficiency and aiding organizations in navigating the complexities of AI adoption.

SAS Institute Recent Developments

In May 2025, SAS introduced SAS Intelligent Decisioning on SAS Viya, a powerful solution designed to help organizations design, deploy, and scale AI agents with a balanced integration of human oversight and AI autonomy. This offering emphasizes embedded governance, decision explainability, and compliance throughout the AI lifecycle.

SAS Viya supports every stage of the agentic AI journey—from data ingestion and analysis to the development, deployment, and monitoring of AI agents. It enables continuous performance evaluation, robust governance, and enterprise-grade security, delivering a streamlined and comprehensive framework for managing AI agents.

With decades of experience in trusted analytics, SAS ensures that each AI agent is developed with built-in auditability, bias detection, and regulatory compliance, reinforcing its commitment to responsible and transparent AI.

SAS Institute Mergers and Acquisitions (M&A) Activities

In November 2024, SAS acquired Hazy, an innovator in synthetic data technology. This strategic move is designed to strengthen SAS’s comprehensive data and AI portfolio, providing customers with advanced synthetic data generation capabilities to support the growing adoption of AI.

The acquisition reinforces SAS’s position as a leader in data innovation, enabling the development of more secure and resilient AI applications. It also paves the way for future integration with SAS Viya. By leveraging Hazy’s expertise in synthetic data, SAS will empower organizations to drive innovation and perform advanced research, addressing critical challenges related to data availability, accessibility, and quality.

SAS Institute Customers in ARTW Customer Database

Leveraging a rigorous data-centric research methodology, APPS RUN THE WORLD asks the simple question: Who’s buying SAS Institute applications and why? And we provide the answers – supported by decades of research – to our clients around the world. Our Customer database has over 100 data fields that detail company usage of SAS Institute and other enterprise apps by function, customer size, industry, location, implementation status, partner involvement, Line of Business Key Stakeholders and IT decision makers contact details. List of Verified SAS Viya, SAS Customer Intelligence 360, SAS Anti-Money Laundering, SAS Payment Integrity for Social Benefits customers.

SAS Institute Key Enterprise and Cloud Applications

SAS Viya, SAS Customer Intelligence 360, SAS Anti-Money Laundering, SAS Payment Integrity for Social Benefits

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SAS Institute Direct vs Indirect sales

SAS Institute Customers - Breakdown by Geo, Size, Vertical and Product

List of Verified SAS Institute Customers

No. of SAS Institute Customers: 100000

No. of SAS Institute Enterprise Applications Customers: 100000

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SAS software is currently deployed across over 100,000 business, government, and academic institutions globally. Notably, 91 out of the top 100 companies listed in the 2021 Fortune Global 1000 are esteemed clients of SAS. Notable clients include industry leaders such as Honda, Levi Strauss, Lockheed Martin, Nestle, Discover, and Office Depot, among many others.

Moreover, SAS's cloud analytics solutions are utilized by over 10,000 customers spanning 70 countries. Their data visualization tool, Visual Analytics is licensed at more than 3,400 customer sites, indicating its widespread adoption and effectiveness in delivering insights.

Additionally, SAS's IDeaS, catering to hotel revenue management, serves over 5,000 hotel properties encompassing nearly one million rooms. Esteemed establishments like The Montcalm, Park Grand London, Shaftesbury Hotels, Delta Hotels and Resorts, and Petit Palace Hotels are among the prestigious clientele leveraging IDeaS for optimizing their revenue strategies.

SAS Institute Market Opportunities, M&A and Geo Expansions

In June 2024, SAS expands its portfolio of data and AI solutions for life sciences and health care with the launch of the SAS Clinical Acceleration Repository. It's a secure, cloud-native data repository with robust audit and administration capabilities, now available to help drive innovation for life sciences and health organizations. The analytics platform manages clinical research data, integrates with various data sources, improves clinical trial development, and accelerates the path to regulatory submission. SAS Clinical Acceleration Repository enables researchers and data scientists to better manage their clinical data and empowers organizations to make informed business decisions.

In September 2023, SAS introduced enhanced functionalities to its SAS Viya flagship data, AI, and analytics platform, unveiling new products within the Viya ecosystem:

SAS Viya Workbench: This lightweight development environment facilitates swift code execution in a cloud-native, efficient, and secure manner. Supporting a multi-language architecture, SAS Viya Workbench empowers users to expediently construct high-performance and production-ready models in their preferred language—be it Python, R, or SAS.

SAS App Factory: Designed as a rapid application development environment, SAS App Factory streamlines the creation of tailored, AI-driven applications. By automating the setup and integration of a cloud-native tech stack, comprised of React, TypeScript, and Postgres, developers can concentrate on deploying models and AI-driven applications into production.

SAS Institute Risks and Challenges

Expanding into specialized domains such as risk management—exemplified by SAS's acquisition of Kamakura Corporation—introduces complexities in sustaining the high service standards that SAS is known for in its core Analytics and Business Intelligence (BI) offerings. Integrating Kamakura's advanced capabilities in asset liability management (ALM) and credit risk modeling presents both opportunities and challenges in delivering consistent service quality to a new clientele.

SAS Institute Ecosystem, Partners, Resellers and SI

As of 2024, SAS boasts a robust network of 1,300 partners operating in 94 countries, with partners influencing 65% of total new software and hosting sales. This underscores the vital role that partners play in extending SAS's capabilities and delivering exceptional value to customers globally.

In February 2024, SAS announced Redington as its new distribution partner for the Middle East, Africa, and Turkey (META) regions. This strategic move reflects SAS's heightened focus on its partner strategy, transitioning to a new distribution model to effectively deliver its innovative software to a broader customer base spanning various industries and global locations. Through the agreement with Redington, SAS Partners in these regions will benefit from an extended reach and enhanced resources, enabling them to generate increased value for their businesses and cater to customers aiming to maximize the potential of their data with SAS solutions.

Redington, renowned for its extensive presence across the META region, boasts a robust network encompassing 290 international brands. This network facilitates seamless collaboration among channel partners, fostering value creation and facilitating digital transformation initiatives. These efforts are complemented by SAS's diverse range of industry-specific solutions, including the comprehensive SAS Viya platform, representing SAS's commitment to providing cutting-edge technology solutions tailored to meet evolving business needs.

Research Methodology

Data used in research reports are derived from publicly available documents, continuous surveys of applications vendors, customers, resellers, Independent Software Vendors, systems integrators and other verifiable sources.

Vendor shares and market forecast results are based on a combination of existing databases as well as demand side and supply side research conducted throughout the year with validation from vendors, customers, channel partners and documentations such as earnings releases and 10Q and 10K filings, vertical industry studies, regional and country-level statistics from public and private institutions(i.e. colleges, universities, government agencies and trade associations).

For additional information on our methodologies, here's the link: