The Internet of Things on AWS – Official Blog

AWS IoT: A 10-year foundation for an intelligent, connected future

December 2025 marks ten years since AWS for Internet of Things (AWS IoT) set out to connect the physical world to the digital world. Today, hundreds of millions of devices connect to AWS IoT services daily, enabling organizations to extract real-time insights, automate processes, and unlock entirely new business models across virtually every industry. This includes powering smart consumer and commercial products, connected vehicles, industrial automation, precision agriculture, and intelligent healthcare systems worldwide. This blog is a reflection of our journey with customers over the past ten years and where we see the future of IoT heading.

AWS IoT: Portfolio of production-ready IoT services that power end-to-end IoT solutions across every industry

We started in 2015 with a core set of IoT functions built on a secure and scalable message broker to help customers build production IoT solutions. Since launch, customer feedback has been our driving source of innovation. First, we added Device Shadows, giving every device a persistent “digital twin” in the cloud so applications could read and change device state, even when the device was offline. In 2016, we introduced AWS IoT Greengrass, bringing AWS IoT’s programming model down to gateways and edge devices so customers could run code, process data, and act locally when connectivity is limited. In 2017, we launched AWS IoT Device Management to make it easier to onboard, organize, monitor, and update fleets of devices through their full lifecycle, and took stewardship of FreeRTOS, a real-time operating system for resource-constrained devices. That same year, we introduced Amazon Kinesis Video Streams to enable customers to securely stream video from connected devices to AWS for analytics, machine learning, and other processing. In 2019, we added Fleet Indexing in IoT Device Management, enabling customers to search and aggregate across registry data, shadows, and connectivity state so they can quickly answer questions like “which devices are online and on which firmware?” and take action at fleet scale. We also launched AWS IoT SiteWise, making it easier to collect, organize, and analyze data from industrial equipment at scale.

In 2020, we launched Fleet Provisioning in AWS IoT Core, so manufacturers and operators could securely onboard large volumes of devices automatically using templates instead of manual, one-by-one registration. In 2021, we introduced AWS IoT TwinMaker, enabling customers to create digital twins of real-world systems to optimize operations and improve performance. The following year, in 2022, we launched AWS IoT ExpressLink, providing a range of hardware modules that simplify and accelerate secure cloud connectivity for device makers. We also announced AWS IoT FleetWise, making it easier and more cost-effective for automotive companies to collect, transform, and transfer vehicle data to the cloud in near-real time. In 2024, AWS IoT introduced message enrichment to help customers dynamically interact with messages without firmware changes, developed a new WebRTC SDK for Kinesis Video Streams to speed up camera integrations, and added MQTT v5 support to AWS IoT Core, bringing enhanced features like user properties, message expiry, and improved error reporting. Finally, when customers asked for more flexibility in runtime support and the ability to run on a wider variety of devices, this year AWS IoT responded by releasing the nucleus lite runtime for AWS IoT Greengrass. This new runtime operates on as little as 5MB of memory, opening up cloud connectivity to an entirely new class of devices. Most recently, in March 2025, we launched managed integrations for AWS IoT Device Management, enabling developers to streamline cloud onboarding of IoT devices and unify device control across multiple brands and protocols with built-in support for ZigBee, Z-Wave, and Wi-Fi specifications, plus 80+ device data model templates and a comprehensive catalog of cloud-to-cloud connectors.

It’s been inspiring to see the variety of solutions (across virtually every industry domain) that our customers have built using AWS IoT services over the past ten years.

Consumer innovation and smart home

Key use cases: Smart home automation, unified device control, energy management, and personalized experiences.

Since its launch in 2017, Wyze Labs has used AWS IoT to bring multiple connected home products to millions of consumers. Fujitsu General leveraged AWS IoT Core to enhance their air conditioning systems with intelligent connectivity and remote monitoring capabilities, achieving a 250% growth in adoption and 60% savings on monthly computing costs. Equinox built a scalable, repeatable architecture using AWS IoT services to enhance their fitness facilities with connected equipment and member experiences.

Automotive, connected vehicles, and EV infrastructure

Key use cases: Vehicle telematics, predictive maintenance, and advanced driver assistance systems (ADAS).

At AWS re:Invent 2022, Mercedes-Benz Research & Development North America presented their approach to message broker modernization, describing how they migrated millions of vehicles to AWS IoT Core to reduce the complexity of their message broker implementation and to reduce costs. Honda Motor Co. redefined the EV charging experience using AWS IoT Core to collect data from vehicles and charging stations, and Amazon Bedrock to personalize recommendations based on driver preferences, accelerating EV adoption through seamless payment processing and intelligent charging optimization. Groendus developed an intelligent EV charging solution using AWS IoT Core, enabling smart energy management and optimized charging infrastructure.

Industrial and manufacturing

Key use cases: Predictive maintenance, asset tracking, and process optimization.

Toyota uses AWS IoT SiteWise to improve operational availability in their manufacturing facilities, increasing operational availability from 78-82% to 92% while reducing monthly downtime from 40 hours to 20 hours. Bristol Myers Squibb leveraged AWS IoT SiteWise to modernize their data infrastructure across Biologics, Pharma, and Cell-Therapy operations, consolidating various data sources into a unified data hub that enabled insightful analytics for product batches across multiple sites and significantly bolstered their ability to predict asset maintenance.

Carrier uses AWS IoT TwinMaker to provide critical asset modeling for their carrier.io IoT solution, enabling applications to create and integrate digital twins of real-world systems that help customers decrease service costs, optimize maintenance schedules, and increase reliability and profitability of their equipment. INVISTA uses AWS IoT TwinMaker to help field personnel efficiently address operational notifications across multiple distributed locations, giving field workers a consolidated view of all asset and operational data.

Supply chain and logistics

Key use cases: Fleet management, inventory tracking, and cold chain monitoring.

M Group uses AWS IoT to install and monitor smart meters and sensors across water networks, leveraging the data for leakage detection, predictive maintenance, and educating customers on water consumption. Circle Gas revolutionized cooking gas distribution with their IoT smart meter solution built on AWS IoT Core, doubling in size every three months while reducing field operation costs. Amazon’s own logistics operations leverage AWS IoT Core to capture near real-time positioning data from their middle mile fleet, enabling efficient management and improved on-time performance.

Healthcare and life sciences

Key use cases: Remote patient monitoring, medical equipment tracking, and drug development process optimization.

Siemens Healthineers built a cutting-edge ultrasound solution using AWS IoT Core for secure and seamless transfer of medical imaging data to the cloud, enabling remote diagnostics and improved patient care. GE Healthcare used AWS IoT Core and Amazon Kinesis Video Streams to develop a contactless monitoring solution for neonates in NICUs, enabling clinicians to remotely monitor critical newborns.

Energy and utilities

Key use cases: Production monitoring and surveillance, industrial equipment health, renewable energy generation, predictive equipment health.

AWS IoT for Energy & Utilities helps companies address challenges in the rapidly evolving energy sector by leveraging IoT technologies to drive innovation, efficiency, and sustainability. Siemens Energy deployed over 1,000 prediction models for equipment like valves, pumps, and ventilation systems, with plans to connect 10,000 pieces of equipment within 5 years, projecting annual savings of €800,000. Greenko optimized operations of 2,200 wind turbines by leveraging AWS data lake and AI/ML integration, reducing software license expenses and improving employee productivity.

Telecom

In 2023, TELUS partnered with AWS to create a device-agnostic smart living solution that uses cloud, IoT, ML, and AI technologies to simplify smart home management through a single smartphone app with zero-touch device onboarding. In 2024, AWS and the prpl Foundation collaborated to integrate AWS IoT Greengrass with prpl’s Life-Cycle Management engine to simplify software deployment and management on customer premises equipment, enabling applications like motion sensing and fall detection.

IoT solutions built to integrate with AWS services and partners for end-to-end solutions

Over the years, we’ve adapted and evolved IoT services with deep AWS service integrations that enable our customers to more easily and quickly build end-to-end solutions. For example, IoT workloads can seamlessly integrate with AWS EventBridge, which provides robust event routing and filtering capabilities with seamless AWS service integration, enabling customers to build sophisticated event-driven architectures from IoT device data. For analytics workloads, IoT data streams can leverage AWS Glue for ETL processing and Amazon Athena for interactive queries, creating powerful data lakes on Amazon Simple Storage Service (Amazon S3) and implementing comprehensive analytics pipelines. These solutions integrate seamlessly with visualization tools like Amazon Quick Suite for actionable AI-powered insights and workflows from IoT telemetry and sensor data. Across AI/ML workstreams, customers can train models using Amazon SageMaker with IoT datasets, fine-tune them with Amazon Bedrock for generative AI applications, and deploy them at scale using SageMaker endpoints or directly to edge devices through AWS IoT Greengrass—all while maintaining seamless IoT workload integration.

Finally, AWS’s IoT Competency partner community brings deep domain expertise across the entire IoT value chain—from System on Chip (SoC) manufacturers like Realtek and ST Microsystems, to Hardware/ODM partners like Belden and OnLogic, through to System Integrators and Independent Software Vendors who deliver complete solutions. These 60+ IoT Competency partners demonstrate their expertise through proven customer implementations, validated technical capabilities, and specialized industry knowledge across multiple tiers—Premier, Advanced, and Select—ensuring customers can identify partners with the right level of experience for their needs. The AWS partner community includes Siemens Industrial Edge for manufacturing automation, Deloitte’s Lab of the Future for industrial operations, and specialized partners like Avnet, Caylent and Klika-Tech for connected consumer and commercial applications. Meanwhile, AWS focuses on providing the secure, reliable connectivity fabric that these specialized solutions require. This approach ensures customers get the best of both worlds: industry-leading applications built on top of AWS’s proven IoT infrastructure, delivered by partners who span every layer of the IoT stack.

Our comprehensive frameworks for your specific business needs

To help accelerate your journey building IoT solutions, check out the AWS Solutions Library, which contains a collection of reference architectures for common use cases. Some top examples include:

Looking to the future: Accelerating the intelligent and autonomous edge

As we stand on the cusp of the next decade, we are entering a new era of intelligent AI agents that operate across our digital and physical world. IoT is evolving beyond device connectivity and management into a foundational technology to connect and operate intelligent edge systems. These intelligent endpoints aren’t just collecting and transmitting data – they’re making decisions, taking actions, and continuously learning from their environments.

With latest advancements in new multimodal reasoning models that can plan and execute real-world tasks, AWS IoT is becoming a foundational technology powering the agentic edge for physical AI on AWS. For a deeper dive on how these solutions are evolving, take a look at these latest blog articles and code samples:

A decade of innovation, a future of possibilities

As we celebrate this 10-year milestone, AWS IoT continues to push the boundaries of what’s possible in the connected world. From smart homes to industrial automation, from connected vehicles to healthcare systems, our commitment to innovation drives us forward. The next decade promises even more exciting developments as we merge IoT capabilities with AI, edge computing, and autonomous systems. Whether you’re just starting your IoT journey or looking to scale existing solutions, AWS IoT provides the secure, scalable foundation you need to transform your ideas into reality. Connect with our team today to discover how AWS IoT can help you build the future of connected intelligence.