Frost Radar™: Asset Performance Management Market, 2020

Frost Radar™: Asset Performance Management Market, 2020

Benchmarking Future Growth Potential

RELEASE DATE
15-Sep-2020
REGION
North America
Research Code: K411-01-00-00-00
SKU: IA01593-GL-MR_24625
$4,950.00
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$4,950.00
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Description

Asset performance management software solutions use asset-related data, predictive analytics, and Industry 4.0 technologies to anticipate failure or life of an asset and to recommend a maintenance solution that will improve the reliability of the asset. End users in the process industries acknowledge the effectiveness of deploying an APM suite of solutions, as it will help accelerate digital transformation. Asset-heavy end users, such as O&G, and petrochemical and chemical, understand that APM suites integrate risk, finance, inventory management, quality, and operations to bring the highest business value. The shift from site functional excellence to enterprise-wide performance management and the customer preference for above-site management principles will drive the adoption of APM solutions. Automating asset failure prediction is a major focus for industries today, as they move into asset performance autonomy. In a field of more than 20 industry participants, Frost & Sullivan independently plotted the top 15 companies in this Frost Radar™ analysis. The global APM market Frost Radar™ analysis features AVEVA, AspenTech, GE Digital, ARMS Reliability, ABB, Yokogawa, Atonix Digital, IBM, Bentley Systems, Emerson, Infor, Apergy, IPS, Detechtion Technologies, and DNV GL. While there are other companies competing in the market or have recently entered it, Frost & Sullivan has identified these 15 as the market powerhouses on the basis of their revenue for the 2016–2020 time period.

Author: Avinash Kumar

Table of Contents

Strategic Imperative

Growth Environment

Frost Radar™: Asset Performance Management Market, 2020

Frost Radar™: Competitive Environment

Frost Radar™: Competitive Environment (continued)

AVEVA

ABB

Apergy (Champion X)

ARMS Reliability

Aspen Technology

Atonix Digital

Bentley Systems

Detechtion Technologies

Dnv gl

Emerson

GE Digital

IBM

Infor

IPS-Intelligent Process Solutions GmbH

Yokogawa

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
Asset performance management software solutions use asset-related data, predictive analytics, and Industry 4.0 technologies to anticipate failure or life of an asset and to recommend a maintenance solution that will improve the reliability of the asset. End users in the process industries acknowledge the effectiveness of deploying an APM suite of solutions, as it will help accelerate digital transformation. Asset-heavy end users, such as O&G, and petrochemical and chemical, understand that APM suites integrate risk, finance, inventory management, quality, and operations to bring the highest business value. The shift from site functional excellence to enterprise-wide performance management and the customer preference for above-site management principles will drive the adoption of APM solutions. Automating asset failure prediction is a major focus for industries today, as they move into asset performance autonomy. In a field of more than 20 industry participants, Frost & Sullivan independently plotted the top 15 companies in this Frost Radar™ analysis. The global APM market Frost Radar™ analysis features AVEVA, AspenTech, GE Digital, ARMS Reliability, ABB, Yokogawa, Atonix Digital, IBM, Bentley Systems, Emerson, Infor, Apergy, IPS, Detechtion Technologies, and DNV GL. While there are other companies competing in the market or have recently entered it, Frost & Sullivan has identified these 15 as the market powerhouses on the basis of their revenue for the 2016–2020 time period. Author: Avinash Kumar
More Information
No Index No
Podcast No
Author Avinash Kumar
Industries Industrial Automation
WIP Number K411-01-00-00-00
Is Prebook No
GPS Codes 99EA-A5,9593,9420