Create value from diverse IoT data and initiatives – at the edge, in the cloud or anywhere in between – as you advance toward the artificial intelligence of things (AIoT)

IoT Analytics Solutions

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.

Analyst accolades for our streaming analytics solutions

  • Depth and breadth, but also online and offline analytics

    SAS’ strategy for streaming data is to offer the greatest number of analytics that can be executed in real-time data streams.”
  • Differentiated analytical capabilities

    No other vendor comes close to SAS in offering advanced analytics that can be executed in real-time including real-time machine learning techniques.”
  • Everything needed to succeed when speed is important

    SAS offers strengths in streaming analytics, developer and analytics tools, and low latency.”
  • Multimarket focus

    SAS is a good fit for customers that need extremely low latency combined with complex analytics such as industrial, manufacturing, and financial use cases.”

    Source: The Forrester Wave™: Streaming Data Platforms, Q4 2023

    Learn how AIoT helps elevate the customer experience, reduce downtime & more

    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.

    Livestock Monitoring

    SAS for Livestock Monitoring, powered by SAS Analytics for IoT and Azure IoT, helps large-scale livestock growers and buyers (e.g., retail food chains) proactively optimize the animal growth cycle, yield and quality with improved health monitoring across all locations.

    Flood Prediction & Preparedness

    Powered by SAS Analytics for IoT and Azure IoT, SAS for Flood Prediction and Preparedness combines easy-to-deploy solar-powered sensors and cloud-based predictive analytics to improve real-time situational awareness for alerting emergency services and improving citizen safety.

    North Carolina Collaboratory

    The North Carolina Collaboratory and SAS are using IoT analytics and sensor data from vaccine storage freezers to strengthen cold chain integrity, thereby minimizing waste and helping ensure efficient vaccine delivery to underserved communities.

    The Sinclair Hotel

    SAS – along with delivery partner T1A, Intel and Cisco – is helping The Sinclair Hotel better understand guest preferences, enhance the value of its brand loyalty program, and improve the guest experience.

    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.

    Lockheed Martin uses machine learning to transform predictive maintenance for complex equipment and keep aircraft operational for crucial missions.

    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.

    SSAB uses artificial intelligence and advanced analytics to analyze sensor data to improve production efficiency, product quality and maintenance strategies.

    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.

    American Honda

    It used to take a staff member one week each month to aggregate and report warranty data in spreadsheets. Now American Honda populates those reports automatically, recovering a week of manpower to use on other projects.

    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.


    Rijkswaterstaat moved from reactive to predictive infrastructure maintenance – with real-time insights on traffic, tunnels, bridges, floodgates and locks – using a modern AI, IoT and analytics platform powered by SAS Viya.

    Industry applications for IoT & AI – from the edge to the cloud

    Explore how IoT analytics solutions from SAS are using AI to help a variety of industries get the most out of IoT data from edge to cloud – unlocking new revenue streams, operational efficiencies and differentiated customer experiences.

    SAS and the Artificial Intelligence of Things (AIoT)

    Gain true value from IoT data through data and AI.

    Recommended Resources

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    The Next Big Leap in Asset Management Comes With Predictive Maintenance at Scale

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    Advanced Analytics Excellence in Discrete Manufacturing

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    Maximizing Innovation in Digitally Maturing Process Manufacturing

    IoT Analytics Products & Solutions

    Built on our scalable, open analytics platform, these offerings can help you operationalize IoT from the edge to the cloud.