Manufacturing & industrial data: machine telemetry and OEE

Industry 4.0 generates vast machine data, and the EU Data Act now reshapes who can access it. This guide covers the manufacturing and industrial data landscape, the access rights that are changing, and how to source and deliver telemetry for efficiency and resilience.

Why industrial data matters now

Connected machines produce continuous condition and performance data, and the EU Data Act gives business users clearer rights to access data their equipment generates. That unlocks efficiency, predictive maintenance and resilience, if the data can be sourced and harmonised.

The manufacturing data landscape

• Machine telemetry: sensor and equipment-condition data.
• Production data: line performance and OEE-related metrics.
• Maintenance: records and spare-part demand signals.
• Energy and environment: industrial energy consumption and factory environmental data.
• External context: commodity pricing and supply-chain signals.

The EU Data Act and machine data

The Data Act (Regulation (EU) 2023/2854, applicable from 12 September 2025) gives users of connected products, including industrial machinery, the right to access the data their use generates and to share it with third parties. For manufacturers and operators, this changes what data can be obtained and on what terms.

Common use cases

Predictive and condition-based maintenance, OEE and throughput optimisation, energy and emissions reduction, spare-part and supply planning, and quality analytics.

Sourcing considerations

Protocols and data models differ across machines and vendors, so harmonisation is central, and device metadata underpins quality. Trade-secret and confidentiality considerations apply, and combining internal telemetry with external context (commodity prices, supply signals) adds value.

Delivery and cadence

Live use cases favour streaming or MQTT and near-real-time delivery; analytics use scheduled batches in analytical formats. High volumes often warrant aggregation or edge pre-processing.

Governance

Most industrial data is non-personal, but trade secrets and confidentiality matter, and the EU Data Act sets the access frame. Practices aligned with NIS2 and ISO/IEC 27001 principles support industrial and critical-infrastructure use.

The OT data sources behind the factory

Industrial data originates in operational-technology systems: PLCs and sensors at the machine level, SCADA for supervisory control and telemetry, MES for production execution, and historians that store high-frequency time-series. Each speaks its own protocol (OPC UA is the common interoperability layer), and data models differ by vendor and vintage. Sourcing and combining this data means harmonising tags, units and timestamps, and capturing the asset metadata that gives readings meaning.

The EU Data Act and machine data in practice

The Data Act gives business users a right to access data their connected industrial equipment generates and to share it with third parties, which changes the negotiating position with OEMs that historically locked data in. In practice this opens access to telemetry for maintenance, efficiency and benchmarking, subject to trade-secret safeguards and contractual terms. Buyers should map which data they can now obtain, from whom, and on what conditions.

A manufacturing data checklist

• Which OT layer (PLC, SCADA, MES, historian) is the source, and via which protocol?
• Is asset and calibration metadata available to interpret readings?
• How are tags, units and timestamps harmonised across machines and vendors?
• What access does the EU Data Act now enable, and under what terms?
• Is external context (commodity prices, supply signals) combined where useful?

Sources & further reading

• European Commission: The Data Act (Regulation (EU) 2023/2854), connected-product data.
• Eurostat: industrial production and PRODCOM statistics.
• OPC Foundation and related industrial interoperability standards.
• EUR-Lex: Regulation (EU) 2023/2854 (full text).