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Manufacturing Analytics Software

Manufacturing is a process of constant improvement. Manufacturing analytics software enable companies to drill down on manufacturing data to find optimization opportunities.

Manufacturing Analytics and IIoT in factories is predicted to have $3.9T to $11.1T market size by 2025.

Software leaders such as IBM, SAP and industrial automation experts such as GE and Siemens have developed manufacturing analytics solutions. Additionally, startups are combining manufacturing domain expertise and software capabilities to build new solutions.

An important criteria in manufacturing analytics software is data integration capabilities. Industrial systems use a wide variety of data formats and communication standards, therefore it makes sense to check integration capabilities of your potential manufacturing analytics solution to ensure that your physical machines' data can be fed into the manufacturing analytics software.

Challengers Specialists Leader s Contenders Market Presence Momentum
Popularity
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Pricing

Compare Manufacturing Analytics Software
Results: 20

AIMultiple is data driven. Evaluate 20 products based on comprehensive, transparent and objective AIMultiple scores. For any of our scores, click the imgicon to learn how it is calculated based on objective data.

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Konux
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Eigen
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Falkonry
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NWAsoft’s
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Omative
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Sight Machine
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Augury
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Covacsis
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Foghorn
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SAS
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Fero Labs
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Element Analytics
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Element unlocks industrial data, enabling modern analytics systems to find insights that transform operational performance.

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C Labs
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ptc
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Sage Clarity
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Vimana (FKA Systems Insights)
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Rockwell Automation
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Predictronics
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Predikto
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Tulip
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Popularity

Searches with brand name

These are the number of queries on search engines which include the brand name of the product. Compared to other product based solutions, manufacturing analytics software is more concentrated in terms of top 3 companies' share of search queries. Top 3 companies receive 100% (30% more than average) of search queries in this area.

Web Traffic

Manufacturing analytics software is a highly concentrated solution category in terms of web traffic. Top 3 companies receive 100% (31% more than average solution category) of the online visitors on manufacturing analytics software company websites.

Satisfaction

Manufacturing analytics software is less concentrated than average in terms of user reviews. Top 3 companies receive 0% (59% less than average solution category) of the reviews on manufacturing analytics software company websites. Product satisfaction tends to be the same for more popular manufacturing analytics software products. Average rating for top 3 products is 0.0 vs 0.0 for average manufacturing analytics software product review.

Challengers Specialists Leader s Contenders Average Review Score Number of Reviews

Maturity

Number of Employees

Median number of employees that provide manufacturing analytics software is 46 which is 2 more than the median number of employees for the average solution category.

In most cases, companies need at least 10 employees to serve other businesses with a proven tech product or service. 1 companies (48 less than average solution category) with >10 employees are offering manufacturing analytics software. Top 3 products are developed by companies with a total of 11-50 employees. However, 1 of these top 3 companies have multiple products so only a portion of this workforce is actually working on these top 3 products.

Element Analytics

Learn More About Manufacturing Analytics Software

Manufacturing Use Cases: Process Optimisation

Advanced analytics detect each step of inefficiency of operations which is measured by overall equipment effectiveness (OEE), analytics software can improve three components of OEE;

Uptime: ensuring machines are running especially in complicated systems

Throughout & Performance: Maximizing throughput by preventing slowdowns that are not visible to conventional analysis

Quality: Scrap and low quality cost the manufacturer directly

Predictive Analysis

Analytical insights that help to predict and prevent machine malfunction, machine learning algorithms analyses historical data to determine which indicators signal the malfunction so that these events can be predicted.

This requires collecting historical data from legacy machineries which is difficult for companies to do. Industrial Internet of Things (IIoT) solutions solve that challenge by combining machine to machine communications. IIoT brings industrial devises connected by communication technologies that results in the systems that can monitor, collect, exchange and deliver valuable insights.

Benefits of Manufacturing Analytics

Increase revenue;

Improving quality assurance have direct impact on the revenue streams, in addition to the quality, diminishing capacity constraints on the factory floor through data insights enable business to fulfill exceeding demand requests.

Reduce cost;

Decreasing inefficiency in every step of operations have accumulated impact on the cost reduction, potential cost benefits of manufacturing analytics software;

  • Reduce maintenance costs by 40%,
  • Reduce downtime by 50%
  • Reduce equipment capital investment by 3-5%
  • Reduce worker injuries by 10-25%, saving companies $225M collectively
  • Reduce energy use by 10-20%
  • Improve labor efficiency by 10-25%

Q&A

What are the Challenges?

There are technical and organizational challenges ahead to implement successful manufacturing analytics software. First challenge comes with organizational; many production facilities have conservative mindset and have inertia to involve innovative tools for improvement through IT software systems. Second challenge is domain expertise; as all processes have unique set ups, one size fits all approach does not work. New vendors mush have a domain expertise and have a deep understanding of complicated processes of their clients. So considering the right vendor which has a domain expertise and involving right stakeholders and aligning them all for the manufacturing analytics benefits for the business is crucial.

What is Manufacturing Analytics?

Manufacturers collect everyday data from operational data, built in sensors, historian software, ERP systems and spreadsheets. However more than 90% of the collected data is thrown away.

Manufacturing analytics is about getting all the data from different variety of sources and using it for increase operational efficiencies and preventing slowdowns.

Manufacturing analytics is focused on collecting and analyzing data rather than process control, it helps to monitor operational equipment effectiveness of the facility and creates action-oriented dashboards to visualize the performance.

Primary manufacturing analytics used cases today are process optimization and predictive maintenance.