How the AVEVA–AWS Deal Aims to Bring Industrial Intelligence to the Cloud

Industrial software company AVEVA and Amazon Web Services (AWS) have signed a new multi‑year Strategic Collaboration Agreement (SCA) designed to accelerate the shift of industrial operations into the cloud. Announced in May 2026, the agreement expands a decade‑long partnership and focuses on building cloud‑based industrial intelligence using AVEVA’s CONNECT platform and AWS infrastructure and AI services.

The collaboration combines industrial data platforms, cloud computing, and generative AI tools with the goal of helping organizations design, operate, and optimize industrial assets more efficiently while reducing costs and complexity.

Expanding a Decade‑Long Partnership

AVEVA and AWS have worked together for more than ten years, with early collaboration centered on running AVEVA software—such as the PI System—on AWS infrastructure. Over time, additional workloads including AVEVA System Platform and Manufacturing Execution System were validated for deployment in AWS environments.

The new agreement deepens that relationship by turning AWS into a strategic foundation for AVEVA’s broader industrial software ecosystem. It establishes a framework for joint product development, go‑to‑market programs, and customer migration support aimed at accelerating cloud adoption in industrial sectors.

Instead of treating the cloud as just an infrastructure layer, the companies intend to combine software, data services, and AI capabilities into a unified industrial intelligence stack.

CONNECT: The Core Industrial Intelligence Platform

At the center of the collaboration is AVEVA’s CONNECT platform, a cloud‑based environment designed to integrate industrial data, models, applications, and analytics services.

Industrial organizations often operate with fragmented data sources across engineering systems, operational technology (OT), asset management platforms, and enterprise software. CONNECT is designed as an open, vendor‑neutral platform to integrate those systems and enable collaboration and data‑driven decision‑making across operations.

By expanding CONNECT on AWS infrastructure, the companies aim to make it easier for customers to:

• Integrate operational and enterprise data
• Run industrial applications and analytics in the cloud
• Develop new AI‑driven insights and automation

The idea is to transform raw operational data—from factories, energy systems, and industrial equipment—into actionable intelligence.

The Role of AWS Services in the Partnership

Several AWS services play key roles in enabling the CONNECT ecosystem.

Amazon Bedrock for Generative AI

Amazon Bedrock provides access to foundation models that developers can use to build generative AI applications and agents through managed APIs. The platform also includes a marketplace that offers more than 100 foundation models for experimentation and deployment.

Within CONNECT, these capabilities could support new industrial use cases such as:

• AI assistants that analyze operational data
• Natural‑language interfaces for industrial analytics
• Knowledge retrieval across engineering and maintenance documentation
• AI‑driven anomaly detection and investigation

These applications rely on combining generative AI with contextualized industrial data stored in the CONNECT environment.

Amazon EC2 for Industrial Workloads

Amazon EC2 provides the scalable compute infrastructure used to run AVEVA’s industrial software in the cloud. AVEVA applications—including its industrial operations and data management systems—have been validated to run on AWS environments such as Amazon Virtual Private Cloud (VPC) and EC2.

This infrastructure allows companies to deploy operational technology workloads in cloud or hybrid architectures rather than relying entirely on on‑premises systems.

AWS Marketplace for Distribution

AWS Marketplace simplifies the procurement and deployment of software solutions. By distributing AVEVA products through AWS commercial channels, customers can adopt and scale industrial applications more quickly using existing cloud purchasing agreements.

Reducing procurement friction can shorten deployment timelines and lower the barriers to adopting cloud‑based industrial software.

Why the Deal Matters for Industrial Digital Transformation

Industrial companies have historically struggled with data silos across operations, engineering systems, and enterprise IT. This fragmentation makes it difficult to analyze performance, automate processes, or deploy AI effectively.

The AVEVA–AWS collaboration addresses that challenge by combining:

• A shared industrial data platform (CONNECT)
• Scalable cloud infrastructure
• Generative AI capabilities
• Simplified software deployment through cloud marketplaces

When these components are integrated, organizations can more easily connect previously isolated systems and apply advanced analytics and AI to operational data.

The Bigger Picture: Cloud and AI in Industry

The broader goal of the agreement is to accelerate the adoption of cloud technologies and AI across manufacturing, energy, infrastructure, and other industrial sectors. By bringing AVEVA’s software portfolio onto AWS and integrating it with modern AI services, the companies aim to help customers move operational workloads to the cloud while gaining faster insights from their data.

For many industrial organizations, the promise is practical rather than theoretical: less custom integration work, faster deployment of new applications, and a clearer path to turning decades of operational data into usable intelligence.

As cloud platforms, industrial software, and AI capabilities converge, partnerships like the AVEVA–AWS agreement illustrate how traditional operational technology environments are evolving toward data‑driven, cloud‑connected systems.