December 2025 marks ten years since AWS for Web of Issues (AWS IoT) got down to join the bodily world to the digital world. At present, lots of of tens of millions of units hook up with AWS IoT companies day by day, enabling organizations to extract real-time insights, automate processes, and unlock fully new enterprise fashions throughout nearly each {industry}. This consists of powering sensible shopper and business merchandise, linked automobiles, industrial automation, precision agriculture, and clever healthcare techniques worldwide. This weblog is a mirrored image of our journey with prospects over the previous ten years and the place we see the way forward for IoT heading.
AWS IoT: Portfolio of production-ready IoT companies that energy end-to-end IoT options throughout each {industry}
We began in 2015 with a core set of IoT features constructed on a safe and scalable message dealer to assist prospects construct manufacturing IoT options. Since launch, buyer suggestions has been our driving supply of innovation. First, we added Machine Shadows, giving each machine a persistent “digital twin” within the cloud so purposes may learn and alter machine state, even when the machine was offline. In 2016, we launched AWS IoT Greengrass, bringing AWS IoT’s programming mannequin right down to gateways and edge units so prospects may run code, course of information, and act regionally when connectivity is proscribed. In 2017, we launched AWS IoT Machine Administration to make it simpler to onboard, manage, monitor, and replace fleets of units by their full lifecycle, and took stewardship of FreeRTOS, a real-time working system for resource-constrained units. That very same yr, we launched Amazon Kinesis Video Streams to allow prospects to securely stream video from linked units to AWS for analytics, machine studying, and different processing. In 2019, we added Fleet Indexing in IoT Machine Administration, enabling prospects to go looking and combination throughout registry information, shadows, and connectivity state to allow them to shortly reply questions like “which units are on-line and on which firmware?” and take motion at fleet scale. We additionally launched AWS IoT SiteWise, making it simpler to gather, manage, and analyze information from industrial gear at scale.
In 2020, we launched Fleet Provisioning in AWS IoT Core, so producers and operators may securely onboard massive volumes of units routinely utilizing templates as a substitute of handbook, one-by-one registration. In 2021, we launched AWS IoT TwinMaker, enabling prospects to create digital twins of real-world techniques to optimize operations and enhance efficiency. The next yr, in 2022, we launched AWS IoT ExpressLink, offering a spread of {hardware} modules that simplify and speed up safe cloud connectivity for machine makers. We additionally introduced AWS IoT FleetWise, making it simpler and cheaper for automotive corporations to gather, rework, and switch car information to the cloud in near-real time. In 2024, AWS IoT launched message enrichment to assist prospects dynamically work together with messages with out firmware modifications, developed a brand new WebRTC SDK for Kinesis Video Streams to hurry up digicam integrations, and added MQTT v5 help to AWS IoT Core, bringing enhanced options like consumer properties, message expiry, and improved error reporting. Lastly, when prospects requested for extra flexibility in runtime help and the flexibility to run on a greater variety of units, this yr AWS IoT responded by releasing the nucleus lite runtime for AWS IoT Greengrass. This new runtime operates on as little as 5MB of reminiscence, opening up cloud connectivity to a completely new class of units. Most lately, in March 2025, we launched managed integrations for AWS IoT Machine Administration, enabling builders to streamline cloud onboarding of IoT units and unify machine management throughout a number of manufacturers and protocols with built-in help for ZigBee, Z-Wave, and Wi-Fi specs, plus 80+ machine information mannequin templates and a complete catalog of cloud-to-cloud connectors.
It’s been inspiring to see the number of options (throughout nearly each {industry} area) that our prospects have constructed utilizing AWS IoT companies over the previous ten years.
Client innovation and sensible residence
Key use circumstances: Good residence automation, unified machine management, vitality administration, and customized experiences.
Since its launch in 2017, Wyze Labs has used AWS IoT to convey a number of linked residence merchandise to tens of millions of customers. Fujitsu Basic leveraged AWS IoT Core to reinforce their air con techniques with clever connectivity and distant monitoring capabilities, reaching a 250% development in adoption and 60% financial savings on month-to-month computing prices. Equinox constructed a scalable, repeatable structure utilizing AWS IoT companies to reinforce their health services with linked gear and member experiences.
Automotive, linked automobiles, and EV infrastructure
Key use circumstances: Car telematics, predictive upkeep, and superior driver help techniques (ADAS).
At AWS re:Invent 2022, Mercedes-Benz Analysis & Improvement North America offered their method to message dealer modernization, describing how they migrated tens of millions of automobiles to AWS IoT Core to cut back the complexity of their message dealer implementation and to cut back prices. Honda Motor Co. redefined the EV charging expertise utilizing AWS IoT Core to gather information from automobiles and charging stations, and Amazon Bedrock to personalize suggestions based mostly on driver preferences, accelerating EV adoption by seamless fee processing and clever charging optimization. Groendus developed an clever EV charging resolution utilizing AWS IoT Core, enabling sensible vitality administration and optimized charging infrastructure.
Industrial and manufacturing
Key use circumstances: Predictive upkeep, asset monitoring, and course of optimization.
Toyota makes use of AWS IoT SiteWise to enhance operational availability of their manufacturing services, growing operational availability from 78-82% to 92% whereas decreasing month-to-month downtime from 40 hours to twenty hours. Bristol Myers Squibb leveraged AWS IoT SiteWise to modernize their information infrastructure throughout Biologics, Pharma, and Cell-Remedy operations, consolidating numerous information sources right into a unified information hub that enabled insightful analytics for product batches throughout a number of websites and considerably bolstered their capacity to foretell asset upkeep.
Provider makes use of AWS IoT TwinMaker to offer essential asset modeling for his or her provider.io IoT resolution, enabling purposes to create and combine digital twins of real-world techniques that assist prospects lower service prices, optimize upkeep schedules, and improve reliability and profitability of their gear. INVISTA makes use of AWS IoT TwinMaker to assist discipline personnel effectively handle operational notifications throughout a number of distributed places, giving discipline employees a consolidated view of all asset and operational information.
Provide chain and logistics
Key use circumstances: Fleet administration, stock monitoring, and chilly chain monitoring.
M Group makes use of AWS IoT to put in and monitor sensible meters and sensors throughout water networks, leveraging the info for leakage detection, predictive upkeep, and educating prospects on water consumption. Circle Gasoline revolutionized cooking fuel distribution with their IoT sensible meter resolution constructed on AWS IoT Core, doubling in measurement each three months whereas decreasing discipline operation prices. Amazon’s personal logistics operations leverage AWS IoT Core to seize close to real-time positioning information from their center mile fleet, enabling environment friendly administration and improved on-time efficiency.
Healthcare and life sciences
Key use circumstances: Distant affected person monitoring, medical gear monitoring, and drug growth course of optimization.
Siemens Healthineers constructed a cutting-edge ultrasound resolution utilizing AWS IoT Core for safe and seamless switch of medical imaging information to the cloud, enabling distant diagnostics and improved affected person care. GE Healthcare used AWS IoT Core and Amazon Kinesis Video Streams to develop a contactless monitoring resolution for neonates in NICUs, enabling clinicians to remotely monitor essential newborns.
Power and utilities
Key use circumstances: Manufacturing monitoring and surveillance, industrial gear well being, renewable vitality technology, predictive gear well being.
AWS IoT for Power & Utilities helps corporations handle challenges within the quickly evolving vitality sector by leveraging IoT applied sciences to drive innovation, effectivity, and sustainability. Siemens Power deployed over 1,000 prediction fashions for gear like valves, pumps, and air flow techniques, with plans to attach 10,000 items of apparatus inside 5 years, projecting annual financial savings of €800,000. Greenko optimized operations of two,200 wind generators by leveraging AWS information lake and AI/ML integration, decreasing software program license bills and enhancing worker productiveness.
Telecom
In 2023, TELUS partnered with AWS to create a device-agnostic sensible residing resolution that makes use of cloud, IoT, ML, and AI applied sciences to simplify sensible residence administration by a single smartphone app with zero-touch machine onboarding. In 2024, AWS and the prpl Basis collaborated to combine AWS IoT Greengrass with prpl’s Life-Cycle Administration engine to simplify software program deployment and administration on buyer premises gear, enabling purposes like movement sensing and fall detection.
IoT options constructed to combine with AWS companies and companions for end-to-end options
Over time, we’ve tailored and advanced IoT companies with deep AWS service integrations that allow our prospects to extra simply and shortly construct end-to-end options. For instance, IoT workloads can seamlessly combine with AWS EventBridge, which supplies sturdy occasion routing and filtering capabilities with seamless AWS service integration, enabling prospects to construct subtle event-driven architectures from IoT machine information. For analytics workloads, IoT information streams can leverage AWS Glue for ETL processing and Amazon Athena for interactive queries, creating highly effective information lakes on Amazon Easy Storage Service (Amazon S3) and implementing complete analytics pipelines. These options combine seamlessly with visualization instruments like Amazon Fast Suite for actionable AI-powered insights and workflows from IoT telemetry and sensor information. Throughout AI/ML workstreams, prospects can practice fashions utilizing Amazon SageMaker with IoT datasets, fine-tune them with Amazon Bedrock for generative AI purposes, and deploy them at scale utilizing SageMaker endpoints or on to edge units by AWS IoT Greengrass—all whereas sustaining seamless IoT workload integration.
Lastly, AWS’s IoT Competency associate neighborhood brings deep area experience throughout your complete IoT worth chain—from System on Chip (SoC) producers like Realtek and ST Microsystems, to {Hardware}/ODM companions like Belden and OnLogic, by to System Integrators and Impartial Software program Distributors who ship full options. These 60+ IoT Competency companions exhibit their experience by confirmed buyer implementations, validated technical capabilities, and specialised {industry} data throughout a number of tiers—Premier, Superior, and Choose—making certain prospects can determine companions with the appropriate stage of expertise for his or her wants. The AWS associate neighborhood consists of Siemens Industrial Edge for manufacturing automation, Deloitte’s Lab of the Future for industrial operations, and specialised companions like Avnet, Caylent and Klika-Tech for linked shopper and business purposes. In the meantime, AWS focuses on offering the safe, dependable connectivity material that these specialised options require. This method ensures prospects get one of the best of each worlds: industry-leading purposes constructed on prime of AWS’s confirmed IoT infrastructure, delivered by companions who span each layer of the IoT stack.
Our complete frameworks to your particular enterprise wants
To assist speed up your journey constructing IoT options, try the AWS Options Library, which incorporates a group of reference architectures for frequent use circumstances. Some prime examples embody:
Seeking to the longer term: Accelerating the clever and autonomous edge
As we stand on the cusp of the subsequent decade, we’re coming into a brand new period of clever AI brokers that function throughout our digital and bodily world. IoT is evolving past machine connectivity and administration right into a foundational expertise to attach and function clever edge techniques. These clever endpoints aren’t simply accumulating and transmitting information – they’re making selections, taking actions, and constantly studying from their environments.
With newest developments in new multimodal reasoning fashions that may plan and execute real-world duties, AWS IoT is turning into a foundational expertise powering the agentic edge for bodily AI on AWS. For a deeper dive on how these options are evolving, check out these newest weblog articles and code samples:
A decade of innovation, a way forward for prospects
As we rejoice this 10-year milestone, AWS IoT continues to push the boundaries of what’s attainable within the linked world. From sensible properties to industrial automation, from linked automobiles to healthcare techniques, our dedication to innovation drives us ahead. The following decade guarantees much more thrilling developments as we merge IoT capabilities with AI, edge computing, and autonomous techniques. Whether or not you’re simply beginning your IoT journey or seeking to scale present options, AWS IoT supplies the safe, scalable basis you must rework your concepts into actuality. Join with our workforce right now to find how AWS IoT may also help you construct the way forward for linked intelligence.
