This IDC MarketScape report recognizes SAS' strengths to include:
- Broad, integrated data engineering in a single platform,
- Operational readiness with orchestration, DevOps and governance,
- Openness for multi‑coding languages and multi‑engine execution, and
- AI‑assisted engineering and synthetic data for productivity and privacy.
Consider SAS when a unified, governed data engineering experience is required alongside advanced analytics and decisioning on a single, cloud-native platform. SAS is particularly well-suited for regulated and mission-critical environments that value lineage, data quality and policy controls embedded within the pipeline tooling; for teams seeking multi-language workflows with in-database optimization; and for programs that can benefit from AI-assisted pipeline development and synthetic data to accelerate delivery while safeguarding sensitive information."
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Webinar
Real-Time Agent Assist and Next-Gen Strategy for Financial Services -
Customer Story
Streamlining financial management with advanced analytics -
Customer Story
Operationalizing responsible AI in health care -
Customer Story
Insurance fraud detection rate soars 175% with real-time intelligence -
Analyst Report
The Forrester Wave™: Real-Time Interaction Management, Q4 2025 -
Customer Story
Automating credit decisions for a digital-first future -
Webinar
Credit Risk Decisioning Using Intelligent Decisioning on SAS® Viya® -
E-Book
Decisions you can trust: A strategic guide to trustworthy data and AI decision making -
White Paper
Rethinking risk: Smarter models, better decisions -
Analyst Report
Chartis RiskTech Quadrant for AML Transaction Monitoring Solutions, 2024 -
Analyst Report
The Forrester Wave™: AI / ML Platforms, Q3 2024 -
Analyst Report
IDC MarketScape: Worldwide Decision Intelligence, 2024 -
E-Book
Intelligent decisioning in government -
Analyst Report
Gartner® Magic Quadrant™ Data Science and Machine Learning, 2024 -
Customer Story
Making faster, smarter credit decisions while elevating customer experience -
E-Book
The insurance data and AI revolution -
Customer Story
One airport operator is making every journey personal for passengers -
Customer Story
Modern, real-time marketing grew membership and incremental sales for leading grocery retailer -
Customer Story
Jakarta Smart City uses IoT analytics to better serve residents -
Analyst Report
The Forrester Wave™: AI Decisioning Platforms, Q2 2023 -
Article
Viking transforms its analytics strategy using SAS® Viya® on Azure -
Customer Story
Finland’s top retail bank applies AI to improve customer service and credit scoring -
Customer Story
Transformation of the National Bank of Greece with SAS Viya on Microsoft Azure -
Customer Story
Real-time analytics helps telecom provider adapt to changing customer needs during global pandemic and beyond -
Customer Story
Complex telco product portfolio, maximum agility thanks to intelligent decisioning -
Customer Story
Modernizing consumer lending in Vietnam -
Customer Story
Customer Story
IoT data with artificial intelligence reduces downtime, helps truckers keep on trucking -
White Paper
Intelligent Decision Automation for Telecommunications in the Digital Age -
E-Book
Brilliant decision? -
E-Book
Fearless Decision? -
Webinar
Orchestrating Your Multi-Wave Campaigns Through Scheduled Journeys -
Webinar
ESP Project Containers – How to Enhance ESP Models Deployment and Operationalization
FAQs
What is the IDC MarketScape report?
It’s an independent analysis that evaluates data integration software platforms, highlighting vendor strengths and market trends.
Why is SAS recognized as a leader?
In this IDC evaluation, SAS stands out for its integrated data engineering platform, operational readiness, support for multiple coding languages, and AI-assisted analytics.
How can SAS help my organization with data integration?
SAS provides a unified platform that streamlines data engineering, governance, and orchestration while boosting productivity and maintaining privacy.
What does "AI-assisted engineering and synthetic data" mean?
It refers to tools that use AI to automate data engineering tasks and generate synthetic data, improving efficiency and protecting sensitive information.
IDC MarketScape vendor analysis model is designed to provide an overview of the competitive fitness of ICT 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 vendor’s position within a given market. The Capabilities score measures vendor product, go-to-market and business execution in the short-term. The Strategy score measures alignment of vendor strategies with customer requirements in a 3-5-year timeframe. Vendor market share is represented by the size of the icons.