IoT Analytics Solutions

Advancing toward the artificial intelligence of things (AIoT).

Empower all types of users to quickly derive value from your IoT ecosystem investments with the latest release of SAS^® Analytics for IoT

Why choose SAS for IoT analytics solutions?

As the market leader in analytics, SAS empowers organizations to create and sustain true value from diverse IoT data and initiatives – whether that data is at the edge, in motion or at rest. Our robust, scalable and open edge-to-enterprise platform bridges IT and operational environments, while spanning the entire analytics life cycle. From visualization and statistical modeling to descriptive, predictive and prescriptive analytics, SAS delivers deep expertise in IoT analytics – including AI, machine learning and deep learning – to help you reduce risk and gain real business value.

How SAS Delivers IoT Analytics Solutions

IoT Partner Ecosystem

SAS partners with other leading-edge companies to enable transformative IoT and AI solutions that drive real business value.

GE Transportation is using analytics from SAS to build an ecosystem that will enable customers to manager their IoT landscapes cohesively and consistently.

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AI & Machine Learning

Advanced analytics solutions with embedded AI and machine learning enable you to analyze a variety of structured and unstructured IoT data sources. Choose from a huge array of SAS and open source machine learning and high-frequency analytics to understand streaming data and gain insights you can act on immediately.

Finnish railway VR Group used advanced analytics to go from reactive to predictive maintenance by analyzing sensor data.

Find out how VR Group uses SAS for IoT

Streaming Analytics

Combining streaming data with advanced analytics and AI reveals patterns that empower real-time decisions. Advanced analytics and mathematical algorithms are developed using rich histories of stored data that can be encoded into data streams, enabling continuous scoring of streaming data.

Dutch sports analytics company SciSports uses AI to analyze streaming soccer data in real time, making way for innovations in everything from player recruitment to virtual reality for fans.

Find out how SciSports uses SAS for IoT

Big Data Management

Consume streaming big data as close to the edge as you need. Embedded data quality routines and text processing execution means big data is filtered and ready to consume. Prebuilt connectors and adapters let you write once and deploy anywhere – today and into the future.

Konica Minolta benefits from high-speed processing of considerable amounts of sensor data that will expand over time.

Discover how Konica Minolta uses SAS for IoT

Intelligent Edge

Powerful, optimized edge computing combined with machine learning enables high-volume throughput of millions of events per second, and low-latency response times. Distributed, in-memory grid processing running in commodity hardware environments can scale linearly as your data grows.

Western Digital continually monitors equipment sensor and device performance data so engineers can make critical decisions quickly when an exception occurs.

Learn how Western Digital uses SAS for IoT

What People Are Saying

IDC reviews the the latest release of SAS Analytics for IoT, a simplified offering aimed at helping customers monetize the value of their IoT data.

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SAS is considered a best-of-breed champion for streaming analytics in this Bloor Research Market Update on Streaming Analytics.

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Forrester names SAS a Leader in The Forrester Wave^™: Real-Time Interaction Management, Q1 2019.

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If analytics is a requirement for success in IoT, is analytics in the form of AI a necessity for IoT to fulfill its potential? Is the artificial intelligence of things – AIoT – the ultimate success story of the internet of things? Oliver Schabenberger Executive Vice President, COO & CTO SAS