
TrendMiner builds self-service industrial analytics software that helps process manufacturers monitor and improve plant operations.
TrendMiner sells a self-service industrial analytics platform that process manufacturers use to monitor, diagnose, and forecast the behaviour of production assets. It connects to historians, sensors, and enterprise systems so time-series and event data can be analysed by plant engineers and operators without specialist data-science skills.
The platform covers time-series and event analytics, statistics, machine learning, visualisation, and reporting, and it is deployed on-premises, in a private cloud, or as a hosted SaaS service. Customer deployments concentrate in chemicals, energy and natural resources, food and beverage, and discrete manufacturing.
Process manufacturers have accumulated large volumes of historian and sensor data, and analytics that let plant teams act on that data without building models addresses a persistent skills gap. Demand is reinforced by pressure to raise yield, cut unplanned downtime, and meet energy and emissions targets across chemicals, energy, food and beverage, and discrete manufacturing.
The segment is competitive, with industrial automation vendors, cloud process-analytics specialists, and AI-native entrants courting the same operations and reliability buyers. TrendMiner's position depends on retaining plant-level usability while extending to agentic and machine-learning workflows that customers can run inside their own security and AI agreements.
TrendMiner is built for operational experts rather than data scientists, so analyses are driven from an interactive interface over plant data and engineers and operators answer process questions themselves instead of commissioning models. The vendor positions this against model-based predictive approaches that depend on scarce modelling skills.
The platform connects directly to plant historians and enterprise systems, supports on-premises, private-cloud, and SaaS deployment, and adds an analytics agent that is designed to work with a customer's existing AI stack and language models. That combination of deployment flexibility and plant-level self-service keeps adoption independent of a central data-science team.
TrendMiner addresses process-industry operations analytics rather than the wider industrial data estate, so buyers that need corporate-wide data integration or enterprise asset management suites often pair it with other vendors' systems. Its self-service design also means advanced model training and deployment runs in external MLOps tooling rather than inside the platform alone.
The company competes with large industrial software vendors whose analytics modules bundle into existing historian, control, or asset-management contracts, and with cloud-native process analytics platforms. Ownership has changed hands twice, with Software AG acquiring the company in 2018 and Proemion Holding GmbH acquiring it from Software AG in 2024, and the brand has continued to operate independently through both changes.
TrendMiner is sold as commercial software for industrial operations, with deployment options spanning an on-premises installation, a private cloud account, and a hosted SaaS service operated by the vendor. The company routes prospective buyers through demo and contact requests rather than publishing list prices.
Deployment choice determines how much infrastructure and operational responsibility stays with the customer, so commercial terms vary with site count, data-source connectors, and hosting model. The company markets the platform on time-to-value and reduced IT investment rather than on published per-seat pricing.