Anomaly detection and prediction plays a vital role in many asset-intensive industries across the globe. According to a report by MarketsandMarkets, the global anomaly detection market is estimated to double over the next five years to $4.45 billion.
While anomaly detection and prediction is relevant across a broad number of industries, it implies a great deal across six asset-intensive industries in particular:
To get a 360-degree perspective on how anomaly detection and prediction can impact these asset-intensive industries, check out our latest playbook. It will give you deeper insight into the challenges these companies face and what anomaly detection and prediction can mean to them.
DataRPM is an award-winning predictive analytics company focused on delivering the next generation predictive maintenance solutions for the Industrial IoT. DataRPM platform automates data science leveraging the next frontier in machine learning known as meta-learning, which is machine learning on machine learning. The platform increases prediction quality and accuracy by over 300% in 1/30th the time and resources delivering 30% in cost savings or revenue growth for business problems around predicting asset failures, reducing maintenance costs, optimizing inventory and resources, predicting quality issues, forecasting warranty and insurance claims and managing risks better.
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