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Top Manufacturing Analytics Companies

The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers

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60 companies for Manufacturing Analytics

AnalyticsWare Inc.'s Logo

AnalyticsWare Inc.

United States

B

11-50 Employees

-

Key takeaway

AnalyticsWare specializes in providing advanced analytical applications that are particularly beneficial for manufacturing by predicting supplier issues and optimizing pricing and product offerings. With nearly two decades of experience, they focus on integrating AI-driven solutions that enhance decision-making capabilities and deliver measurable business value.

Reference

Core business

AnalyticsWare: Harness the power of your data

Automation Intellect's Logo

Automation Intellect

Matthews, United States

B

1-10 Employees

2016

Key takeaway

Automation Intellect specializes in providing advanced IIoT solutions that transform manufacturing data into actionable insights. Their platform helps manufacturers enhance productivity, reduce costs, and improve operational efficiency through data-driven analytics.

Reference

Product

Advanced analytics for manufacturing | Automation Intellect

FabMetrics's Logo

FabMetrics

Rotterdam, Netherlands

A

1-10 Employees

2017

Key takeaway

FabMetrics offers a low-code platform that enhances manufacturing analytics by leveraging AI and IIoT to optimize production and improve efficiency. Their innovative solutions aim to create value for factories and equipment manufacturers, addressing the challenges faced by engineers and manufacturing managers in the Industry 4.0 landscape.

Reference

Service

Manufacturing Analytics - FabMetrics

Engineers and manufacturing managers have tough job. They face multiple challenges when it comes to optimizing production and improving efficiency. That's

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Aunalytics's Logo

Aunalytics

South Bend, United States

B

1-10 Employees

2011

Key takeaway

Aunalytics is a data platform company that specializes in providing analytics services tailored for manufacturers, focusing on integrating and cleansing data from various systems to deliver accurate business information. Their commitment to data-driven IT solutions enhances stability and security for manufacturing operations.

Reference

Product

Manufacturing - Aunalytics

MachineMetrics's Logo

MachineMetrics

Northampton, United States

B

11-50 Employees

2015

Key takeaway

MachineMetrics offers a comprehensive production monitoring and analytics platform that captures and analyzes real-time data from manufacturing operations. This enables manufacturers to identify inefficiencies, enhance operator efficiency, and gain operational insights that drive informed decision-making.

Reference

Core business

MachineMetrics: Production Monitoring and Analytics Platform

MachineMetrics connects real-time data from production and operations to deliver actionable insights for factory workers and operations leaders.

Albedo System Inc's Logo

Albedo System Inc

San Jose, United States

B

1-10 Employees

2017

Key takeaway

The company offers advanced analytics solutions that address production bottlenecks and optimize resource utilization, particularly emphasizing the importance of predictive analysis in manufacturing. Their tools enable organizations to anticipate machine failures, optimize production schedules, and enhance overall efficiency, ultimately driving innovation and streamlining operations.

Reference

Product

Enterprise Business Analytics – Albedo System

Sight Machine's Logo

Sight Machine

San Francisco, United States

B

51-100 Employees

2012

Key takeaway

Sight Machine offers a comprehensive Manufacturing Data Platform that enables manufacturers to become data-driven quickly by standardizing data schemas for all production processes. Their Factory ANALYZE tool provides real-time visibility and actionable insights, helping to benchmark, monitor, and improve manufacturing productivity across the entire enterprise.

Reference

Product

Factory ANALYZE - Benchmark, monitor, and improve manufacturing productivity with Sight Machine

Real-time visibility and actionable insights for every part, machine, line, and plant throughout a manufacturing enterprise. The Sight Machine Manufacturing Data Platform.

ALLURE ANALYTICS's Logo

ALLURE ANALYTICS

Sofia, Bulgaria

B

1-10 Employees

2022

Key takeaway

The company offers advanced data analytics and visualization tools tailored for various industries, including manufacturing. With a team of Microsoft Certified developers and extensive experience in real production environments, they provide business intelligence solutions that empower organizations to effectively analyze and understand their data.

Reference

Product

Manufacturing KPIs – ALLURE ANALYTICS

Aegis Software's Logo

Aegis Software

Horsham Township, United States

B

251-500 Employees

1997

Key takeaway

Aegis Software's FactoryLogix platform offers advanced manufacturing analytics that transform data into actionable insights, enhancing decision-making and operational efficiency. With features like real-time dashboards and reporting, it empowers manufacturers to improve quality, traceability, and overall production control.

Reference

Product

Manufacturing Intelligence & Analytics Dashboard | Aegis Software

By using manufacturing analytics dashboards and reporting with FactoryLogix, you can turn data into action with manufacturing intelligence at Aegis Software.

ManufacturingAnalytics's Logo

ManufacturingAnalytics

Andoain, Spain

A

11-50 Employees

-

Key takeaway

The company focuses on enhancing plant productivity and manufacturing quality through advanced analytics. By identifying and monitoring disturbances, they optimize processes and energy consumption, directly linking these improvements to their manufacturing analytics capabilities.

Reference

Core business

Home - Manufacturing Analytics


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Things to know about Manufacturing Analytics

What is Manufacturing Analytics?

Manufacturing analytics refers to the application of data analysis techniques to improve manufacturing processes, enhance operational efficiency, and drive decision-making. By leveraging data from various sources such as production lines, supply chains, and quality control systems, manufacturers can gain insights into performance metrics, identify trends, and uncover areas for improvement. This analytical approach enables organizations to optimize resource utilization, reduce waste, and increase overall productivity. Additionally, manufacturing analytics helps in predictive maintenance, allowing companies to foresee equipment failures and minimize downtime, ultimately leading to more informed strategic planning and increased competitiveness in the market.


How does Manufacturing Analytics improve production efficiency?

Manufacturing Analytics leverages data collected from production processes to identify inefficiencies and optimize operations. By utilizing real-time data analysis, manufacturers can pinpoint bottlenecks and areas of waste, allowing for targeted improvements. These insights enable better decision-making, leading to enhanced resource allocation and reduced downtime. Predictive analytics can also forecast equipment failures, allowing for proactive maintenance, which further enhances overall production efficiency. Consequently, manufacturers can achieve higher throughput and maintain quality standards more effectively.


What technologies are used in Manufacturing Analytics?

Manufacturing analytics relies on several key technologies to enhance production efficiency and decision-making. Big Data Analytics plays a crucial role, allowing manufacturers to process vast amounts of data generated from various sources, such as machines and supply chains. Internet of Things (IoT) devices are integral, as they facilitate real-time data collection from equipment, enabling predictive maintenance and operational insights. Additionally, Artificial Intelligence (AI) and Machine Learning (ML) algorithms analyze historical data to identify patterns and forecast future performance, leading to improved production strategies. Advanced visualization tools also support the interpretation of complex data, making insights accessible for decision-makers.


How does Manufacturing Analytics enhance quality control?

Manufacturing Analytics significantly enhances quality control by leveraging data-driven insights to monitor and optimize production processes. By collecting real-time data from various stages of manufacturing, these analytics tools identify patterns and anomalies that may indicate quality issues. Furthermore, predictive analytics can forecast potential defects before they occur, allowing manufacturers to implement corrective measures proactively. This not only reduces waste but also improves overall product quality, ensuring that standards are consistently met. The integration of advanced analytics fosters a culture of continuous improvement, driving efficiency and reliability in manufacturing operations.


What are the benefits of implementing Manufacturing Analytics in factories?

1. Improved Operational Efficiency
Implementing Manufacturing Analytics enables factories to optimize their processes by analyzing data from various sources. This leads to reduced downtime, streamlined workflows, and enhanced productivity. By identifying bottlenecks and inefficiencies, manufacturers can make informed decisions that drive continuous improvement.

2. Enhanced Quality Control
With advanced analytics, manufacturers can monitor production quality in real-time. By analyzing data related to defects and variances, they can quickly identify issues and take corrective actions. This proactive approach not only improves product quality but also reduces waste and associated costs.

3. Predictive Maintenance
Manufacturing Analytics allows for the anticipation of equipment failures through predictive maintenance. By analyzing historical performance data, factories can schedule maintenance activities at optimal times, minimizing unexpected breakdowns and extending the lifespan of machinery.

4. Data-Driven Decision Making
Utilizing analytics fosters a culture of data-driven decision-making. Management can leverage insights gained from data to formulate strategies, allocate resources effectively, and respond to market changes swiftly. This agility is crucial for staying competitive in a rapidly evolving manufacturing landscape.


Insights about the Manufacturing Analytics results above

Some interesting numbers and facts about your company results for Manufacturing Analytics

Country with most fitting companiesUnited States
Amount of fitting manufacturers7100
Amount of suitable service providers6231
Average amount of employees11-50
Oldest suiting company1997
Youngest suiting company2022

Geographic distribution of results





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Frequently asked questions (FAQ) about Manufacturing Analytics Companies

Some interesting questions that has been asked about the results you have just received for Manufacturing Analytics

Based on our calculations related technologies to Manufacturing Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Manufacturing Analytics are ALLURE ANALYTICS

The most represented industries which are working in Manufacturing Analytics are IT, Software and Services, Other, Automation, Consulting, Manufacturing

ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.

Manufacturing Analytics results by various countries

Related categories of Manufacturing Analytics