Cross Industries Digital Twin: Application Landscape and Opportunity Assessment

An overview on how Digital Twin is driving the future of industrial services

INDUSTRY
Macroeconomics

RELEASE DATE
08-May-2019
REGION
Global
DELIVERABLE TYPE
Technology Research

RESEARCH CODE
D8B0-01-00-00-00
SKU
CI00616-GL-TR_23136
Yes
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Digital Twin: Application Landscape and Opportunity Assessment
Published on: 08-May-2019 | SKU: CI00616-GL-TR_23136

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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

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

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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
More Information
Deliverable Type Technology Research
No Index No
Podcast No
Author Doraiswamy Bharath Sunderraj1
Industries Cross Industries
WIP Number D8B0-01-00-00-00
Is Prebook No

Digital Twin: Application Landscape and Opportunity Assessment

$4,950.00
In stock
SKU
CI00616-GL-TR_23136