Recently, Gartner® released its 2024 Magic Quadrant for Global Industrial iot Platforms [1], in which Amazon Cloud Technologies was ranked as a “leader” for its execution capabilities and vision integrity, and ranked first in the vertical execution capabilities dimension.

The Gartner report assesses the “ability to execute” and the “integrity of vision” of participating technology vendors. It is believed that Amazon Cloud Technology can be selected as a leader without its leading advantages in device management, end-to-end integration, data management, data analysis, application support and management, security compliance, cloud edge architecture, data collection and other aspects.

PR9376010-011

At present, the new generation of information technology such as big data, artificial intelligence, and the Internet of Things is deeply integrated with the manufacturing industry, the digital transformation and upgrading of the traditional manufacturing industry is accelerating and deepening, and the Internet of everything has become the main trend of the development of the industry. Data show that the scale of China’s enterprise intelligent manufacturing equipment industry has reached more than 3.2 trillion yuan. In the face of rapid changes in the industry, and the resulting explosive growth in the amount of data, manufacturing companies need to use the Industrial Internet of Things (Industrial Internet of Things: IIoT enhances data connectivity between devices, improves device performance and productivity, uses data analytics to improve business operations, and accelerates the organic integration of digital technologies with core businesses to achieve continuous business change.

Amazon Cloud Technology’s IIoT platform services mainly include Amazon IoT SiteWise, Amazon IoT TwinMaker, Amazon IoT Core, Amazon IoT Greengrass, Amazon iot. Amazon Kinesis Video Streams, etc. By continuously enhancing its IIoT platform and service capabilities, Amazon Cloud Technologies is focused on accelerating information technology (IT) and operational technology (OT) integration, advancing cloud-edge collaboration and interoperability between different devices. At present, Amazon Cloud Technology has launched a variety of Internet of Things (IoT) services and solutions that integrate AI technology to accelerate the landing of cutting-edge technologies such as data analysis, artificial intelligence and machine learning, digital twins, edge devices, hybrid edge gateways, and industrial intelligent vision in practical application scenarios.

PR9376010-011

In terms of IIoT platform solutions, Amazon IoT Core iot Management Services can connect billions of iot devices without infrastructure constraints, allowing customers to more securely manage connected devices, reducing network latency while effectively controlling costs. Amazon IoT SiteWise, a managed service that makes it easy to collect, store, organize, and monitor data at scale from industrial devices, improving operational visibility for better data-driven decision making. Amazon IoT TwinMaker makes it easier and faster for developers to create real-world digital twins such as buildings, factories, industrial equipment and production lines, helping companies gain real-time insight into their operations. Amazon IoT Greengrass brings on-premises computing, messaging, data management, synchronization, and machine learning inference to edge devices, enabling rapid response to on-premises events while still leveraging the cloud for management, analytics, and persistent storage.

The main technical advantages of Amazon Cloud technology in the field of IIoT are also reflected in the strong open source and open technology capabilities. On the one hand, based on agile services and product features, Amazon Cloud Technology provides vertical integrated solutions for customers in different industries, helping enterprises to continuously improve their scalability and help enterprise customers develop rapidly. On the other hand, we continue to expand multi-scenario solutions based on industrial iot capabilities, covering many fields such as digital twins, digital factories and industrial sustainable development, and at the same time, we work with other suppliers in the field of industrial iot to broaden the partner system including technology and consulting, optimize the partner delivery model, and help enterprises accelerate the integration of IT/OT capabilities.

In the process of supporting the transformation of enterprise data intelligence, Amazon Cloud Technology relies on its own rich IoT and data processing and other services to build a comprehensive solution, not only to help enterprises build IoT platforms to meet business needs, but also to solve the massive data processing problems caused by the growth of equipment, and help enterprises realize seamless data connection from the bottom to the top. Improve operational efficiency and real-time insights into operations.

Haitian Zhilian, a smart manufacturing solution provider under Haitian Group, has successfully built smart factory information solutions with the help of Amazon cloud technology, breaking through challenges such as high concurrency, multi-user access, and stable message transmission, and improving the user experience of injection molding equipment. Haitian Zhaopin uses Amazon Cloud Technology’s cloud-native services and powerful cloud infrastructure to achieve rapid access to injection molding equipment and efficient data transmission, efficiently processes massive data, and obtains instant equipment operation insight. By building a SaaS chemical industry networking platform, it realizes the full life cycle management from data collection to equipment monitoring.

Goldwind Technology, as a partner of dual-carbon energy transformation, launched the “3-carbon reduction 1-platform zero-carbon solution” based on Amazon Cloud Technology’s Internet of Things, data analysis, artificial intelligence and machine learning services. This solution can meet the large-scale supply side and load side equipment access, storage, processing and analysis of a large amount of data generated by the equipment, so as to achieve equipment operation monitoring and fault diagnosis, policy optimization and intelligent scheduling control, and help enterprises optimize the cost of electricity.