IoT Analytics Solutions

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

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

Explore more IoT analyst reports

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.

Learn about SAS for Livestock Monitoring

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.

Learn about SAS for Flood Prediction & Preparedness

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.

Read the North Carolina Collaboratory story

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.

Browse our ecosystem partners

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.

Find out how Lockheed Martin 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.

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

Find out how SSAB 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.

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.

Discover how American Honda 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.

Rijkswaterstaat

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.

Learn how Rijkswaterstaat uses SAS for IoT

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.