How Should Industrial Firms Refresh Their Digital Asset Management Strategies in 2022?
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Executive Summary
This report provides current customers and prospective buyers of industrial asset management software with strategic guidance on how to make the best purchase decisions in the context of an evolving market. The increasing involvement of financial investors and corporate groups has significantly impacted the market dynamics. Overall, this is good news for buyers and users as the cash injections have funded more robust products. But vendors without sufficient scale or financial backing will find they are struggling in a market with bigger and better funded rivals. Financial firepower to drive innovation, industry expansions, and new technical requirements have significantly changed the assessment criteria that buyers should apply. From 2022, the market reshuffle will also be reflected in new value propositions outside core asset management systems such as DataOps, production optimization, emissions monitoring and energy management.
Table of contents
The Market Is Reshuffling Around Core Industrial Use CasesMarket Reshaping Is Propelled By Aggressive Inorganic Product Expansion Strategies
Emergence Of Point Solutions Creates New Options For Tech Buyers
Four Key Factors Can Enable Modern Digital Asset Management Strategies For Industrial Organizations
Customers Must Decide Between Four Technology Strategies
Table of figures
Figure 1. Notable M&A And Partnerships In The Industrial Asset Management Tech MarketFigure 2. Use Case And Vendor Category Mapping
Figure 3. Use Case Definitions Of Industrial Asset Management Software
Figure 4. Technology Stack And Information Exchange Of Asset Management Applications
Figure 5. Four Digital Asset Management Strategies For Mature Industrial Organizations
Organisations mentioned
ABB, Accruent, Amazon Web Services (AWS), ARMS Reliability, AspenTech, Augury, Autodesk, AVEVA, Baker Hughes, Bentley Systems, C3 AI, Clayton Dubilier & Rice (CD&R), Cogiscan, Cognite, Copperleaf, Covestro, DevonWay, Emerson, Ensemble Energy, Epicor, Evocon, Falkonry, Fiix, GE Digital, Google, Hexagon, HighByte, Hitachi Vantara, Honeywell, HUVR, IBM, Inductive Automation, Infor, Innovyze, iTAC Software, Kongsberg Digital, Lloyd’s Register, MachineMetrics, MathWorks, Microsoft, Open Systems International (OSI), OSIsoft, PTC, QiO Technologies, Rockwell Automation, SAS, Savigent, Schneider Electric, SE Ventures, Seeq, sensemetrics, Senseye, ServiceNow, Shell, ShookIOT, Siemens, Siemens Energy, Snowflake, Sologic, SparkCognition, Symphony Industrial AI, TCV, Trendminer, Ultimo, Uptake, Vista Data VisionAbout the authors
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