Real-time intelligence unlocks innovation from the edge to the cloud

Posted: April 07, 2026

With AVEVA’s acquisition of Crosser, edge analytics and low-code solutions are enabling smarter, faster responses where they matter most.

The further industrial data travels before it gets processed, the less useful the resulting insights. Real-time edge analytics changes that. With the ability to process and share operational data where it is generated, innovation occurs as market conditions shift—not weeks or months after the fact. AVEVA’s acquisition of Crosser accelerates this capability for customers, enabling faster time to value as data volumes and velocity continue to grow. In the face of this exponential data flow, processing and conditioning information closer to its source becomes essential. 

Designed for changing industrial models

An existing AVEVA ecosystem partner, Crosser designs and develops one of the world’s most advanced unified DataOps platforms for industrial environments. The Swedish software leader’s hybrid-first platform is already integrated into the CONNECT industrial intelligence platform and expands AVEVA’s ability to contextualize streaming and event-driven data in real time.

Crosser’s unified namespace capability—the transformation of data from assets, logs and edge devices into a standardized data structure—creates a single source of truth for systems. As a result, silos are eliminated and data becomes easier to share and use across systems. Integration complexity drops, enabling real-time visibility, quicker deployment, and consequently, more reliable analytics and automation.

Backed by this golden thread of truth, Crosser’s edge AI capability delivers analytical intelligence on premise, enabling real-time analysis and automated response without the delays that come with routing data to a central cloud.

Perhaps most important of all, Crosser’s low-code and low-effort approach enables teams to build and adjust connections themselves. With less back and forth, moving the operations needle becomes a systemic feature of the production line.

How customers running CONNECT benefit

For industrial customers, the change is both practical and immediate. Data that previously lived in separate systems now streams into a single window, unlocking greater uptime and productivity. This brings industrial AI and automation within reach of workflows that were previously out of scope. For users from shop floor to top floor, analytics reflect what’s happening right now, across the entire operation.

With greater reliability and business agility come sustainable growth at scale, as early adopters have proven. Previous use cases from the collaboration have resulted in more efficient plants and less chemical waste for the process industries—a direct result of machine learning becoming available on the factory floor.

Research shows that companies with similar business models in the top quartile for real-time operations achieve 62% higher revenue growth and almost double the profit margins (97% higher) of their peers.^[1]

What the AVEVA and Crosser integration means for industrial customers

Pairing Crosser’s low-code integration and edge AI with AVEVA’s deep domain expertise speeds development outcomes at both companies, enabling customers to access new capabilities as the business evolves.

For Crosser, the integration accelerates the adoption of its technology across new verticals and geographies. For AVEVA, the tight portfolio integration deepens its industrial intelligence leadership, enhancing its product suite with industry-specific low-code integration capabilities, enhanced unified namespace capabilities and AI. Connected industrial intelligence now becomes real-time action.

The bigger picture is hard to ignore. By next year, half of all business decisions will be augmented or automated by AI agents.^[2] Real-time analytics will enable industry to make the most of that development. Customers already using CONNECT have a headstart on their competitors.

^{[1] MIT Center for Information Systems Research, “New MIT CISR Research Reports Leading “Real-time” Businesses Had 62% Higher Revenue and 97% Higher Profit Margins,” Press Release, August 15, 2024, https://cisr.mit.edu/content/press-release-real-time-businesses-08152024.
[2] Gartner, “Analysts Explore the Latest Data & Analytics Trends During Gartner Data & Analytics Summit, June 17-18 in Sydney,” June 17, 2025, https://www.gartner.com/en/newsroom/press-releases/2025-06-17-gartner-announces-top-data-and-analytics-predictions.}