FROST RADAR™: Manufacturing Analytics, 2020

FROST RADAR™: Manufacturing Analytics, 2020

Benchmarking Future Growth Potential

RELEASE DATE
18-May-2020
REGION
Global
Research Code: K427-01-00-00-00
SKU: IA01561-GL-MR_23898

$4,950.00

Special Price $3,712.50 save 25 %

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SKU
IA01561-GL-MR_23898

$4,950.00

$3,712.50 save 25 %

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Description

Manufacturing companies are constantly looking for new ways to streamline their operations, increase the productivity and profitability of operations. They now seek to optimize one of their own most valuable assets—data. New data grows exponentially because of the increase in the level of networking and connectivity among people and machines/devices. Businesses also grapple with massive volumes of historical data. Managing the complexity of both historical and new data, making sense of it, and translating it into critical business decisions can be daunting.

Not all companies can analyze and extract insights from data. Powerful and advanced manufacturing analytics can convert data into actionable insights and help manufacturers identify hidden bottlenecks or unprofitable production lines, improve decision making, and drive revenue.

The benefits of leveraging manufacturing analytics are many: higher revenue, lower cost, higher customer satisfaction, increased production yield and throughput, improved product quality, and reduction in unplanned downtime. Predictive maintenance and supply chain optimization are two of the most important applications of manufacturing analytics.

Manufacturing analytics is witnessing steady growth due to the growing focus on Industry 4.0 initiatives and continued recognition of the critical role of analytics. As the manufacturing industry is now focusing on ways to analyze, monitor, predict, contextualize, and visualize processes and asset performance, the number of companies to leverage new technologies and advanced manufacturing analytics solutions has increased.

Frost & Sullivan's research indicates that manufacturing analytics forms the basis for digital transformation initiatives of companies in the manufacturing industry and that current analytics solutions leverage artificial intelligence and machine learning technologies.

The Frost Radar™ reveals the market positioning of companies in an industry by using their growth and innovation scores as highlighted in the Frost Radar™ methodology. The document presents competitive profiles of each of the companies in the Frost Radar™, based on their strengths and opportunities, and provides a small discussion on their positioning.

Frost & Sullivan analyzes hundreds of companies in the industry and benchmarks them across 10 criteria on the Frost Radar™ where the leading companies in the industry are then positioned. Industry leaders on both the Growth and Innovation indices are recognized as best practice recipients.

The companies we have included in this radar are Northwest Analytics, TrendMiner, SightMachine, Seeq, AspenTech, Falkonry, MachineMetrics, Tulip, Dassault Systemes, Element Analytics, and SensrTrx.

Table of Contents

Strategic Imperative

Growth Environment

The Frost Radar™: Manufacturing Analytics

Frost Radar™

NORTHWEST ANALYTICS (NWA)

TRENDMINER

SIGHT MACHINE

SEEQ

ASPENTECH

FALKONRY

TULIP

MACHINEMETRICS

ELEMENT ANALYTICS

BIOVIA (Dassault Systèmes)

SENSRTRX

Strategic Insights

SIGNIFICANCE OF BEING ON THE FROST Radar™

FROST Radar™ EMPOWERS THE CEO’S GROWTH TEAM

FROST Radar™ EMPOWERS INVESTORS

FROST Radar™ EMPOWERS CUSTOMERS

FROST Radar™ EMPOWERS THE BOARD OF DIRECTORS

FROST Radar™: BENCHMARKING FUTURE GROWTH POTENTIAL

FROST Radar™: BENCHMARKING FUTURE GROWTH POTENTIAL

FROST Radar™: BENCHMARKING FUTURE GROWTH POTENTIAL

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Related Research
Manufacturing companies are constantly looking for new ways to streamline their operations, increase the productivity and profitability of operations. They now seek to optimize one of their own most valuable assets—data. New data grows exponentially because of the increase in the level of networking and connectivity among people and machines/devices. Businesses also grapple with massive volumes of historical data. Managing the complexity of both historical and new data, making sense of it, and translating it into critical business decisions can be daunting. Not all companies can analyze and extract insights from data. Powerful and advanced manufacturing analytics can convert data into actionable insights and help manufacturers identify hidden bottlenecks or unprofitable production lines, improve decision making, and drive revenue. The benefits of leveraging manufacturing analytics are many: higher revenue, lower cost, higher customer satisfaction, increased production yield and throughput, improved product quality, and reduction in unplanned downtime. Predictive maintenance and supply chain optimization are two of the most important applications of manufacturing analytics. Manufacturing analytics is witnessing steady growth due to the growing focus on Industry 4.0 initiatives and continued recognition of the critical role of analytics. As the manufacturing industry is now focusing on ways to analyze, monitor, predict, contextualize, and visualize processes and asset performance, the number of companies to leverage new technologies and advanced manufacturing analytics solutions has increased. Frost & Sullivan's research indicates that manufacturing analytics forms the basis for digital transformation initiatives of companies in the manufacturing industry and that current analytics solutions leverage artificial intelligence and machine learning technologies. The Frost Radar™ reveals the market positioning of companies in an industry by using their growth and innovation scores as highlighted in the Frost Radar™ methodology. The document presents competitive profiles of each of the companies in the Frost Radar™, based on their strengths and opportunities, and provides a small discussion on their positioning. Frost & Sullivan analyzes hundreds of companies in the industry and benchmarks them across 10 criteria on the Frost Radar™ where the leading companies in the industry are then positioned. Industry leaders on both the Growth and Innovation indices are recognized as best practice recipients. The companies we have included in this radar are Northwest Analytics, TrendMiner, SightMachine, Seeq, AspenTech, Falkonry, MachineMetrics, Tulip, Dassault Systemes, Element Analytics, and SensrTrx.
More Information
No Index No
Podcast No
Author Sankara Narayanan Venkataramani
Industries Industrial Automation
WIP Number K427-01-00-00-00
Is Prebook No
GPS Codes 9593,9420