Siemens launches onsite drivetrain analyser for industry
Siemens has launched Drivetrain Analyser Onsite for industrial drive systems, aimed at users that need drive data to remain within their own infrastructure.
The product extends Siemens' drivetrain analytics range with an on-premises option alongside its cloud-based Drivetrain Analyser Cloud service. Its first module, Drivetrain Analyser Onsite - Monitoring, is designed for continuous condition monitoring of mechanical and electrical drivetrain components.
The system analyses data locally on an industrial PC rather than sending it to a remote platform. This approach is intended for industrial settings where data sovereignty, network isolation or low-latency processing are important.
Local Analysis
Drivetrain Analyser Onsite - Monitoring collects high-resolution vibration and analogue signals, including data synchronised through precision time protocol. Depending on the application, it works with Siemens connection modules for vibration, fast process parameters and IoT data capture.
The system preprocesses and analyses vibration data, analogue values and fingerprint information locally. Users access the software through a standard web browser, with plant-level overviews, KPI trend views and diagnostic dashboards.
The software uses industrial AI methods for pattern recognition and anomaly detection. Its integrated tools are designed to flag deviations from normal drivetrain behaviour and indicate possible mechanical changes or early-stage wear.
Built on a containerised software architecture, the product runs on industrial PCs. It supports interfaces including MQTT, gRPC and OPC UA, allowing connection with SCADA systems, edge platforms, industrial IPC environments and maintenance software.
Cloud Contrast
The launch highlights a split in how manufacturers and infrastructure operators want to handle operational data. While some are adopting cloud-based monitoring across multiple sites, others still require systems that keep operational information within plant boundaries.
Siemens launched Drivetrain Analyser Cloud last year for cross-site analysis and fleet-level monitoring. The new onsite version follows the same modular approach, but differs in operating model, integration environment and deployment context.
In practice, the onsite version is aimed at facilities with isolated network architectures or internal rules that limit data movement beyond the plant. That could include sectors where operational technology is separated from external networks or where operators want direct control over storage and analysis.
Use Cases
The software is designed for equipment operating under variable load, speed and operating profiles. Siemens pointed to production machinery such as extruders, packaging machines and textile machines as examples where early signs of mechanical or process-related change can be difficult to detect.
It also identified infrastructure applications including pump stations, compressors and conveyor systems, where assets often run continuously or under fluctuating loads. Motion-control systems with dynamic movement profiles are another target, as the software is designed to capture and analyse changing operating states and load peaks.
The emphasis on local processing reflects a broader trend in industrial software, with suppliers offering both edge and cloud models rather than treating them as mutually exclusive. For vendors, that means designing products that fit different regulatory and operational environments without forcing customers into a single architecture.
Drivetrain Analyser Onsite is part of Siemens Xcelerator, the company's wider digital business platform. Siemens employed around 318,000 people worldwide at the end of its 2025 financial year and reported revenue of €78.9 billion and net income of €10.4 billion.