Industrials / Supply Chain & LogisticsManufacturing

Predictive Maintenance & Analytics

EXECUTION STRENGTHMARKET STRENGTHLEADERHIGHFLIEROUTPERFORMERCHALLENGER

What is Predictive Maintenance & Analytics?

Companies in this market use AI and machine learning to streamline production processes, eliminate bottlenecks before they occur, monitor plant conditions, and prevent failures of physical assets like pipes, valves, and pumps. Many companies offer integration with equipment manufacturers and industrial data software firms.

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Leaders

Leaders are the most established service providers in the market and possess the breadth to address various customer needs.

See why these companies made it as leaders for Predictive Maintenance & Analytics. These companies include Seeq and SparkCognition.

Seeq logo
Seeq

United States / Founded Year: 2013

Seeq is an advanced analytics solution for process manufacturing and IIoT data sets. Seeq’s multiple applications empower engineers to collaborate, investigate and publish insights from data in manufacturing applications and historians. Analytics may be of any type, including diagnostic, monitoring, and predictive analytics to find insights that can be used to drive continuous improvements in key production and business metrics.

Known Customers

Saudi Aramco, ipcos, IT Vizion

Key People

Steven Sliwa, Jon Peterson, Brian Parsonnet

SparkCognition logo
SparkCognition

United States / Founded Year: 2013

SparkCognition builds AI solutions for applications in energy, oil and gas, manufacturing, finance, aerospace, defense, and security. SparkCognition's products include Darwin for automated model building, DeepArmor for AI-built cybersecurity, SparkPredict, an analytics solution, and DeepLNP, a natural language processing solution.

Known Partners

Schlumberger, Skygrid, Skygrid, and 2 more

Key People

Amir Husain, Vijay Doradla, Jeffrey Lass, and 2 more

Augury logo
Augury

United States / Founded Year: 2011

Augury's machine health AI predicts machine failures in and prescribes exactly when and how to correct them. Wireless sensors connect rotating equipment across industrial facilities and securely transmit mechanical data to the cloud. The data is then analyzed by proprietary cloud-based AI and prescriptive insights are delivered directly to maintenance/reliability personnel and manufacturing operations in real-time. Machine health insights are also contextualized with operational data to provide system-level insights across the manufacturing organization.

Known Customers

Essity

Key People

Saar Yoskovitz, Roy Eitan, Gal Shaul, and 1 more

Uptake logo
Uptake

United States / Founded Year: 2014

Uptake is a provider of predictive analytics software that collects and interprets sensor data for clients in mining, rail, energy, aviation, retail, and construction industries. Uptake integrates cross-industry expertise, data science, and workflow connectivity to build high-value solutions based on massive data sets, identify problems before they happen, and drive safety, efficiency, and productivity.

Key People

Bradley Keywell, Kayne Grau, Linda Bartman, and 2 more

Highfliers

Highfliers are the most innovative service providers in the market and possess the resources to address evolving customer needs.

See why these companies made it as highfliers for Predictive Maintenance & Analytics. These companies include Senseye and Samotics.

Senseye logo
Senseye

United Kingdom / Founded Year: 2014

Senseye provides an automated condition monitoring diagnostics and prognostics product, a cloud-based software solution that enables industrial companies to predict the failure of machines months in advance. The solution allows manufacturers to reduce maintenance costs by automatically identifying machine failure through machine learning algorithms fed with data from the Industrial IoT.

Key People

Robert Russell, Simon Kampa, Simon Jesenko

Samotics logo
Samotics

Netherlands / Founded Year: 2015

Samotics, fka Semiotic Labs, provides a condition monitoring platform for maintenance teams with zero tolerance for unplanned downtime. It provides foresight into when and why equipment fails in real-time.

Key People

Simon Jagers, Gerben Gooijers, Maarten Keller

Outperformers

Outperformers are the most specialized service providers in the market and possess the expertise to address unique customer needs.

See why these companies made it as outperformers for Predictive Maintenance & Analytics. These companies include Veros Systems and Element Analytics.

Veros Systems logo
Veros Systems

United States

Veros Systems provides customers with continuous, non-intrusive, scalable, predictive monitoring of industrial asset reliability and energy use across an entire enterprise. At the core of the Veros product is the Predictive Intelligence Platform (PIP), which analyzes 300+ discrete reliability and energy efficiency metrics from voltage and current waveform data and then transforms that data into actionable intelligence for engineers, plant supervisors, and corporate executives. End-users can receive alerts via email or SMS, warning them of an electrical or mechanical fault that may lead to a catastrophic failure sometime in the future. To dig deeper, end-users can turn to PIP's web-based interface, or integrate with leading Enterprise Asset Management suites.

Known Partners

Fluke

Key People

James Dechman, Alexander Parlos

Element Analytics logo
Element Analytics

United States / Founded Year: 2015

Element Analytics is an industrial analytics software company that makes data work for people, proactively surfacing insight where it's needed most. The Element Platform transforms data into insight, helping industrial organizations make the best-informed decisions for greater efficiency, sustainability, and profit.

Known Customers

Gartner

Key People

Andy Bane, Laurie Schrager

Challengers

Challengers are the most promising service providers in the market and possess the agility to address emerging customer needs.

See why these companies made it as challengers for Predictive Maintenance & Analytics. These companies include Seebo.

Seebo logo
Seebo

Israel / Founded Year: 2012

Seebo develops process-based AI solutions, enabling manufacturers to predict & prevent losses in production yield and quality.On May 10th, 2022, Seebo was acquired by Augury at a valuation between $100M and $200M.

Known Partners

SolidWorks, IBM

Key People

Liran Akavia, Lior Akavia, Dvori Basat, and 1 more

What is Predictive Maintenance & Analytics?

Companies in this market use AI and machine learning to streamline production processes, eliminate bottlenecks before they occur, monitor plant conditions, and prevent failures of physical assets like pipes, valves, and pumps. Many companies offer integration with equipment manufacturers and industrial data software firms.

Selling a product or service?
Reach more buyers.

Your future customers are researching their next tech solution on CB Insights. Make sure they can find you.

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