Manufacturing has become the most data-intensive industry in the global economy. Factories generate massive streams of information from machines, sensors, inspection systems, supply chains and workforce activity.
Industry estimates suggest manufacturing produces roughly 1,812 petabytes of data annually, more than finance, telecom or retail sectors. Meanwhile, a single smart factory can generate more than 5 petabytes of operational data per week through connected equipment and industrial IoT systems.
And that volume is accelerating. Nearly half of manufacturing leaders report that the amount of data their organizations collect has doubled in just the past two years, underscoring how quickly the industrial landscape is shifting toward data-centric operations.
Yet the real question is not how much data factories generate. It is how effectively they turn that data into insight.
Automation Alley convened leaders from industry, academia and technology to explore a central question:
How can manufacturers transform raw operational data into industrial intelligence that improves performance, resilience and competitiveness?
The answer is not constrained by technology. The tools already exist. The friction lies in how data is structured, interpreted and acted upon inside the modern factory. What emerges is a set of systemic challenges and emerging opportunities that together define the next phase of industrial evolution.
Read this article in full in our 2026 Integr8 Playbook on Data & Industrial Intelligence here.
