Buyer’s Guide: Digital Twins For Industrial Facilities
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Executive Summary
This report provides managers interested in exploiting the potential of digital twins for industrial facilities with a guide to which tech vendors currently provide market offerings. The study includes a high-level assessment of 26 vendors on seven capabilities and across 15 different asset classes. Firms interested in deploying a digital twin for an industrial facility such as a power plant or offshore oil rig will find it hard to shortlist more than three vendors with any credible success stories in the public domain. The current lack of customer references reflects the early stage of the market for industrial facility digital twins. Vendors need to share more case studies with prospective customers to accelerate adoption and get the digital twin concept onto a faster growth trajectory.
Table of contents
The Digital Twins Market Is At The Start Of A Long EvolutionDigital Twins Have Multiple Usage Scenarios For Industrial Facilities
Many Tech Vendors See Digital Twins As A Huge Market Opportunity
Digital Twin Success Requires A Laser Focus On Asset Class Deployment
Seven Capabilities Define The Breadth And Depth Of Digital Twin Offerings
Firms Should Buy From Vendors With Successful Projects In Their Asset Class
Firms Will Succeed With An Evolutionary Strategy For Digital Twin Adoption
Table of figures
Figure 1. Digital Twin Creation CapabilitiesFigure 2-1. Digital Twin Volume Of Deployments For Process Industries
Figure 2-2. Digital Twin Volume Of Deployments For Manufacturing And Power Generation
Figure 2-3. Digital Twin Volume Of Deployments For Linear Assets, Mining and Construction
Organisations mentioned
ABB, Accenture, Akselos, ANSYS, AnyLogic, Arcadis, AspenTech, Autodesk, AVEVA, Bentley Systems, Boeing, Boxarr, Chevron, Cognite, Dassault Systèmes, Deloitte, DNV GL, Emerson Automation, European Commission’s Low Cost Manufacturing And Assembly Of Composite and Hybrid Structures (LOCOMACHS), Fingrid, FutureOn, GE, GE Digital, Group, Hexagon PPM, HPE, IBM, Italpresse Gauss, KBC, Lanner, Mevea, MIT, PTC, Rolls-Royce, Seebo, Siemens, Sight Machine, Simio, Sphera, Sweco, TCS, Texmark Chemicals, Uptake, Wipro, Xcelgo, XMPro, YokogawaAbout the authors
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