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Digital Twin: Application Landscape and Opportunity Assessment
Digital Twin: Application Landscape and Opportunity Assessment
An overview on how Digital Twin is driving the future of industrial services
RELEASE DATE
08-May-2019
08-May-2019
REGION
Global
Global
Deliverable Type
Technology Research
Technology Research
Research Code: D8B0-01-00-00-00
SKU: CI00616-GL-TR_23136
$4,950.00
In stock
SKU
CI00616-GL-TR_23136
Description
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
1.1 Research Scope
1.2 Research Methodology
1.3 Research Methodology Explained
1.4 Key Findings
2.1 Introduction to Digital Twin
2.2 Benefits, Barriers, and State of Adoption
2.3 Implementing Digital Twins can gain Better Insights on Product Performance and Helps Make Better Operational and Strategic Decisions
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
4.1 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
5.1 Digital Twin – Key Companies
5.2 GE, Siemens, and PTC Are Noted as the Top Patent Holders
6.1 Key Innovations Shaping the Future
6.2 Recent Developments Pertaining to Digital Twin Technology
7.1 Skills Required for the Adoption of Digital Twin
7.2 Strategic Perspectives about Leveraging Digital Twin
8.1 Key Contacts
9.1 The GE Digital Twin Model
Legal Disclaimer
Popular Topics
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
| Deliverable Types | Technology Research |
|---|---|
| No Index | No |
| Podcast | No |
| Author | Doraiswamy Bharath Sunderraj1 |
| Industries | Cross Industries |
| WIP Number | D8B0-01-00-00-00 |
| Is Prebook | No |