Applications Of 3D Visualization Software And Its Benefits For Industrial Asset Management And Operations

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Executive Summary

Computer-generated three-dimensional (3D) graphical representations of real-world physical assets have a rich history of vibrant use cases, from Bell Labs’ 1963 computer animation of a satellite in orbit, to Dassault Systèmes first supplying CATIA in 1984 to US-based aerospace firm Boeing. Since then, other providers, such as Ansys, Autodesk, AVEVA, Bentley Systems, COMSOL and Siemens have contributed to the range of dynamic simulation and 3D visualization capabilities available to engineers and designers. However, the adoption of 3D visualization software for industrial asset management (IAM) and industrial operations has, until recently, seen slower growth, while multiple foundational technologies such as enterprise asset management (EAM) and predictive maintenance software have matured. A number of factors are driving 3D visualisation software growth in industry; the key ones being the COVID-19 pandemic forcing firms to adopt digital collaboration tools to operate remotely, high-fidelity 3D data capture becoming more reliable as well as affordable and availability of new digital technologies such as augmented reality and virtual reality solutions.

Table of contents

3D Visualization Is Becoming Increasingly Important For Industrial Asset Management And Operations
A Variety Of Drivers Have Accelerated The Adoption Of 3D Visualization In Industry
3D Visualization Software Has Become Vital In The Age Of Sustainability
Necessary Features Of 3D Visualization Software Depend On Real-World Use Cases 

Table of figures

Figure 1. Importance Of 3D Visualization For IAM Software
Figure 2. 3D Visualization Preference From Verdantix Corporate Surveys
Figure 3. Cloud Vs. On-Premise Software Preference
Figure 4. Four Key Capabilities For 3D Visualization For IAM And Operations
Figure 5. Breadth Of Vendor Capabilities For 3D Visualization For IAM And Operations

About the authors

Joe Lamming

Industry Analyst
Joe is an Industry Analyst in the Verdantix Operational Excellence practice. His current research agenda covers industrial DataOps, AI/ML analytics and applications of generative AI for industry and enterprise. Prior to joining Verdantix, Joe worked in the consumer electronics industry, where he gained experience in overseas manufacturing, product design and data science. Joe holds an MEng in Mechanical Engineering and Sustainable Energy Systems from the University of Southampton.

Malavika Tohani

Research Director, Operational Excellence
Malavika leads the Verdantix Operational Excellence practice. Her current research agenda focuses on digital technologies for Operational Excellence including digital twins and software solutions for industrial risk and asset management. Malavika has over 15 years’ experience in research and strategy consulting. Malavika previously worked at Frost & Sullivan, managing and delivering advisory projects for clients involving expansion, acquisition, benchmarking and product development strategies. Malavika holds a MSc in Economics from Madras School of Economics.

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