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AWS Manufacturing and Industrial Competency Partners provide solutions supporting several categories including Engineering and Design, Smart Manufacturing (Robotics, Worker Safety, and Productivity), Smart Product and Services, Enterprise Solutions, Operational Technology Security, Supply Chain Management, Sustainability, and Operational Technology for an end-to-end value chain.
AWS Competency Partner solutions and offerings from AWS Partners empower you to focus your resources on optimizing production, creating new smart-product business opportunities, and improving operational efficiencies across the value chain to make it happen.
The AWS Competency Partner Program is designed to identify, validate, and promote AWS Partners with demonstrated AWS technical expertise and proven customer success. The AWS Competency Partner Program has validated that the partners below have demonstrated they can help customers migrate applications and legacy infrastructure to AWS.
Search for AWS Manufacturing and Industrial Competency Partners by category
Solutions in this category accelerate the customer’s time-to-results and time-to-market to innovate faster, reduce costs, and improve collaboration. Solutions include applications and services used in the design phase, including Computer Aided Design (CAD), Computer Aided Engineering (CAE), Electronic Design Automation (EDA), Computer-Aided Manufacturing (CAM), Product Lifecycle Management (PLM), Automation System Programming, and Product Data Management (PDM).
Solutions in this category are focused on cloud migration and modernization activities associated with enterprise systems, such as enterprise historians, enterprise resource planning, product lifecycle management, computerized maintenance management system, and manufacturing execution systems. Solutions comprise tools and capabilities that accelerate the migration or modernization of on-premises applications and industrial manufacturing data to the cloud.
Solutions in this category focus on the use of hardware and software, often referred to as industrial control systems, to monitor and control physical processes, devices, and infrastructure. Operational technology solutions perform tasks ranging from monitoring critical infrastructure to controlling robots on a manufacturing floor. Solutions in this category might be related to control systems like SCADA (Supervisory Control and Data Acquisition) and PLCs (Programmable Logic Controllers), communication networks such as OPC (OLE for Process Control) or PROFINET, HMIs (Human Machine Interfaces), data acquisition systems, analytics software and security solutions. Cloud hosted applications that enable remote control and management of operational technology systems on the manufacturing shop floor also fall in this category.
This category comprises solutions that optimize shop floor operations, maximize productivity, augment quality, and increase worker productivity and safety. Solutions leverage methods and techniques to liberate data from operational technology (OT) systems, and use new edge and cloud capabilities such as machine learning (ML) and artificial intelligence (AI) to glean new insights from the data. Robotics and industrial automation are key building blocks of today’s smart factories, and are critical to driving operational efficiencies and reducing costs. Solutions help manufacturers ensure product quality and reduce rejects, and also drive process and asset performance improvements. Industrial DataOps, Cloud-hosted Manufacturing Execution Systems (MES), Manufacturing Operations Management (MOM), and Plant Information Management System (PIMS) solutions fall in this category.
Connect with AWS Manufacturing and Industrial Competency Partners
Drive innovation, meet business objectives, and get the most out of your AWS services by partnering with technically validated AWS Partners.
RS Group, a global product and service solutions provider for industrial customers, faced challenges with its on-premises infrastructure, which limited its ability to scale and innovate. RS Group partnered with AWS Partner Tech Mahindra and Amazon Web Service (AWS) for a full lift-and-shift migration to the cloud. The migration, of which the digital production platform move was completed in only 48 hours without any unplanned downtime, has improved RS Group’s performance up to 150 percent. It has accelerated the time it takes to make infrastructure changes up to 95 percent and lowered technical debt by 12 percent. Operating on AWS has also empowered RS Group to scale efficiently, enhance resilience, and continuously innovate with AWS services.
Kärcher, based in Germany, is a global manufacturer of cleaning equipment. It operates with more than 160 subsidiaries in 82 countries worldwide. The company wanted to ensure that it could deliver products to its customers on time and at competitive costs. Given the disruptions in global supply chains since the COVID-19 pandemic, the company has undertaken to optimize the responsiveness of its supply chain with a cloud-first approach to operations. It also decided to build a new manufacturing facility in Vietnam. Kärcher wanted this greenfield facility to be cloud-native to provide flexibility while eliminating hardware purchases, reducing efforts needed for maintenance, and improving insights into operations. It worked with AWS Partner Zoi to build that solution on Amazon Web Services (AWS), eliminating an initial six-digit investment in hardware, license, and maintenance costs and ready to start production in just 11 months.
DS Smith is a London-based supplier of paper and packaging solutions with 2024 revenues of £6.8 billion and is a FTSE 100 company. It has facilities in more than 30 countries employing more than 30,000 staff. Over the last several decades, much of its growth has come from acquisitions, leading to a complex mix of disparate legacy systems. To help it get better insights on how it was spending its procurement budget, it connected with AWS Partner Exponentia.ai to create a procurement spend analytics (PSA) solution on Amazon Web Services (AWS).
This whitepaper will demonstrate how Seeq on AWS enables organizations to enhance the value of their existing data, enable subject matter experts to collaborate with new data workflows, streamline operations, and incorporate emerging technologies to optimize process manufacturing at scale.
Marie Lepoutre, Lior Perez, Niklas Gruber,
05/12/2025
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Discover how Capgemini and AWS collaborated to create TELme, a groundbreaking generative AI solution that revolutionizes product research and design in manufacturing. By enabling engineers to efficiently search and summarize vast repositories of technical content using natural language queries, TELme significantly reduces design lifecycle timelines and accelerates time-to-market for new products.