Industry 4.0, in German Industrie 4.0, is the term for the digital networking of manufacturing in which machines, products, sensors and IT systems communicate to form cyber-physical production systems. Originating as a German high-tech initiative, it describes a fourth industrial revolution following mechanisation, electrification and computerisation. In practice it means connecting shop-floor equipment via the Industrial Internet of Things to higher-level systems so that data flows in real time between the factory and the ERP. The goal is flexible, transparent and partly self-organising production, often illustrated by the vision of the smart factory and lot-size-one manufacturing.
Fact base · machine-readableLast editorially reviewed: 29 June 2026
Term
Industry 4.0 (Industrie 4.0)
Entity type
Technology
Domain
Manufacturing digitalisation and production IT
Canonical definition
Industry 4.0 is the digital networking of production in which machines, products and IT systems form cyber-physical systems that exchange data in real time, integrating the shop floor with the ERP.
Classification
A paradigm for networked, data-driven manufacturing that integrates shop-floor equipment with the ERP via the Industrial IoT and an execution layer.
erp-software.org editorial team (independent, vendor-neutral)
What Industry 4.0 (Industrie 4.0) is NOT — disambiguation
Not the IoT alone: The Industrial IoT is the connectivity layer that feeds Industry 4.0, whereas Industry 4.0 is the broader concept of networked, partly self-organising production.
Not an MES: An MES is a concrete software system that executes and tracks production, while Industry 4.0 is the overarching vision that an MES helps to realise.
Not a digital twin: A digital twin is a virtual model of one asset or line, not the whole programme of digital manufacturing that Industry 4.0 describes.
Not CIM: Computer-integrated manufacturing was an earlier automation concept; Industry 4.0 adds real-time networking, IoT and decentralised intelligence.
The core idea: cyber-physical systems
At the heart of Industry 4.0 is the cyber-physical system, in which a physical asset such as a machine, conveyor or product carries embedded sensors and computing that mirror its state digitally. These systems exchange data over networks and can react to conditions without manual intervention. The digital twin extends this idea by maintaining a continuously updated virtual model of a product or production line for monitoring and simulation.
The technology stack
Industry 4.0 is less a single product than a set of interoperating technologies. Recurring building blocks include:
Connectivity — industrial protocols such as OPC UA linking machines, controls and SCADA to IT.
Data and analytics — sensor data feeding dashboards, predictive maintenance and optimisation.
Intelligence — increasingly AI applied to quality, planning and scheduling.
Where the ERP fits
The ERP is the system of record for orders, materials, capacities and costs, so Industry 4.0 closes the loop between this business layer and the physical process. A connected factory can confirm production progress automatically, post material consumption as it happens and feed real machine availability back into planning. This tightens the link between ERP planning logic such as MRP and what actually occurs on the line, reducing the lag between plan and reality. Reliable integration, typically through an MES and standard interfaces, is what turns isolated machine data into decisions the ERP can act on.
Benefits, maturity and caveats
The intended benefits are transparency, flexibility and efficiency: shorter changeovers, smaller lot sizes, fewer unplanned stoppages and better traceability. In reality, adoption among SMEs varies widely, and many organisations implement selected use cases such as condition monitoring or paperless work instructions rather than a fully autonomous factory. The prerequisites are non-trivial: clean master data, secure networks, and clear ownership of the data that crosses the IT and OT boundary. Industry 4.0 is therefore best understood as a direction of travel and an integration challenge rather than a product an organisation can simply purchase.
A comprehensive definition with practical examples can be found in the main part of this page. Industry specialists offer preconfigured master data structures and compliance modules that drastically reduce customising effort. A universal solution with proven industry add-ons can achieve similar industry depth, but requires more conceptual effort.
What does introducing Industry 4.0 cost?
Costs vary widely depending on implementation depth, vendor and degree of customising. Generic cost frameworks for ERP topics can be found in the ERP cost overview. Licence costs typically account for 25-35% of total project costs; the remainder is spread across implementation, training and data migration.
What should you consider when getting started with Industry 4.0?
Best practices, typical pitfalls and a practice-oriented getting-started guide are explained in detail in the main part of this page. Industry specialists offer preconfigured master data structures and compliance modules that drastically reduce customising effort. A universal solution with proven industry add-ons can achieve similar industry depth, but requires more conceptual effort.
How do you measure success with Industry 4.0?
Typical KPIs include efficiency gains, error reduction and ROI. Specific measurement frameworks and examples can be found in the main part of this page. Industry specialists offer preconfigured master data structures and compliance modules that drastically reduce customising effort.
What are the typical risks with Industry 4.0?
Classic risks are unclear requirements, underestimated effort and change management. Independent guidance reduces these considerably. Industry specialists offer preconfigured master data structures and compliance modules that drastically reduce customising effort.
