+353-1-416-8900REST OF WORLD
+44-20-3973-8888REST OF WORLD
1-917-300-0470EAST COAST U.S
1-800-526-8630U.S. (TOLL FREE)

Digital Twin: Application Landscape and Opportunity Assessment

  • Report

  • 39 Pages
  • May 2019
  • Region: Global
  • Frost & Sullivan
  • ID: 4772381

An Overview on how Digital Twin is Driving the Future of Industrial Services

Digital twin is a virtual replica of an actual product, facility, asset, equipment, or plant, which are either hosted on premises or in the cloud. Companies are using digital twins to better understand the real world scenarios remotely, aiming to provide real-time assistance instead of reactive-based assistance. Digital twin technology is mostly used to train the employees, improve on-going operations, optimize supply chains, test new procedures and product in the virtual world before introducing them in the real world.

Companies such as GE Digital, IBM, Microsoft, Oracle, Ansys, Dassault Systems, Siemens, and PTC among many other companies are focusing on developing end-to-end digital twin solutions that brings out valuable insights from Big Data.

In brief, this research service covers the following points:

  • Digital Twin – An Overview
  • Digital Twin Architecture and Key Constituent Elements
  • Implementation Case Study Examples
  • Stakeholder Ecosystem
  • Future Trends and Recommendations

Table of Contents

1. Executive Summary
1.1 Research Scope
1.2 Research Methodology
1.3 Research Methodology Explained
1.4 Key Findings

2. Introduction to Digital Twin

2.1 Benefits, Barriers, and State of Adoption
2.2 Implementing Digital Twins can gain Better Insights on Product Performance and Helps Make Better Operational and Strategic Decisions

3. Digital Twin Architecture
3.1 Convergence of Technologies Leads to Digital Twin
3.2 Tech Adoption Scenario
3.3 Technologies Enabling Creation of Digital Twin
3.4 Various Technologies acting as base for Digital Twin to resolve any issued
3.5 OPC UA and MQTT are the Fastest Emerging Protocols Enabling the Establishment of Digital Twins Across Various Sectors

4. Case Study Examples
4.1 Case Example 1a - Petrochemical Industry
4.1 Case Example 1b - Petrochemical Industry
4.2 Case Example 2 - Logistics Industry
4.3 Case Example 3a - Oil & Gas Industry
4.3 Case Example 3b - Oil & Gas Industry
4.4 Case Example 4 - Machinery Industry

5. Key Companies Ecosystem
5.1 Digital Twin - Key Companies
5.2 GE, Siemens, and PTC Are Noted as the Top Patent Holders

6. Key Innovations and Initiatives
6.1 Key Innovations Shaping the Future
6.2 Recent Developments Pertaining to Digital Twin Technology

7. Strategic Recommendations
7.1 Skills Required for the Adoption of Digital Twin
7.2 Strategic Perspectives about Leveraging Digital Twin

8. Industry Contacts
8.1 Key Contacts

9. Appendix
9.1 The GE Digital Twin Model

Companies Mentioned (Partial List)

A selection of companies mentioned in this report includes, but is not limited to:

  • Ansys
  • Dassault Systems
  • GE Digital
  • IBM
  • Microsoft
  • Oracle
  • PTC
  • Siemens