Smart manufacturing tech adoption expands

In early July 2026 manufacturers began adopting open data standards such as QIF, MTConnect and OPC UA, creating a common digital language that links measurement devices, inspection software and enterprise systems. AI‑driven tools were reported to boost productivity by 10‑20 % and improve labour efficiency across applications from predictive maintenance to autonomous robotics.

DIATEST introduced an in‑process measurement (IPM) solution that embeds high‑precision bore gauging into CNC machines, feeding micron‑level data to controls and SPC software for real‑time quality control. Tennant’s AI‑navigated floor‑scrubbing robots equipped with 3‑D LiDAR continued to be deployed in food‑production plants, providing continuous hygiene.

Edge‑computing hardware such as the Axial AC100 server enabled low‑latency shop‑floor processing, reducing reliance on distant cloud resources. Research from Secomea showed only 46 % of manufacturers achieve full auditability of remote vendor sessions, highlighting gaps as the EU Cyber Resilience Act takes effect. The act’s five common challenges—including over‑reliance on existing certifications, postponing software‑bill‑of‑materials compliance to 2027, and insufficient evidence for self‑declaration—were outlined for the sector.

VISEO and Rockwell Automation announced a partnership to combine VISEO’s SAP and supply‑chain expertise with Rockwell’s Plex cloud‑MES, tightening real‑time visibility, quality and traceability across the production chain. Technical guides demonstrated MQTT telemetry paired with Grafana dashboards for instant industrial data visualization.

Later in July, manufacturers broadened the digital thread by integrating workforce analytics with connected metrology. Employee performance, attendance and production data are now analysed to improve hiring, identify skill gaps and optimise labour allocation. Metrology software is being linked with PLM, ERP and MES systems, turning measurement results into strategic assets that support engineering decisions, maintenance planning and supply‑chain management.

The combined push on open standards, AI, edge computing, cybersecurity, robotics and data‑driven workforce insights continues to define Industry 4.0 initiatives worldwide.