Heavy IndustryManufacturing & ConstructionManufacturing3D Printing

Digital Twins Technology and Solutions: Cyber-to-Physical Communications and Asset Control Market Outlook and Forecasts 2020 – 2027

Lowest Prices Guaranteed Length Publisher Published Date SKU
from $3,500 151 Pages Mind Commerce March, 2020 CCJQ16190469
Lowest Prices Guaranteed
Price from $3,500
Length 151 Pages
Publisher Mind Commerce
Published Date March, 2020
SKU CCJQ16190469

Digital Twins Technology and Solutions: Cyber-to-Physical Communications and Asset Control Market Outlook and Forecasts 2020 – 2027

This research evaluates digital twinning technology, solutions, use cases, and leading company efforts in terms of R&D and early deployments. The report assesses the digital twin product and service ecosystem including application development and operations. The report also analyzes technologies supporting and benefiting from digital twinning. The report also provides detailed forecasts covering digital twinning solutions in many market segments and use cases including manufacturing simulations, predictive analytics, and more.

The digital twin of a physical item is a mapping of a physical world thing (equipment, robot, or virtually any connected business asset) to the digital world in which Internet of Things (IoT) platforms and software are leveraged to create a digital representation of the physical asset. The digital twin of a physical asset can provide data about its status such as its physical state and disposition. Mind Commerce sees this as a key capability to realize the vision for Industry 4.0 to fully digitize production, servitization, and the "as a service" model for products.

There are many potential use cases for digital twinning including monitoring, simulation, and remote control of physical assets with virtual objects. Solutions focus on Part, Product, Process, and System Twinning. We see digital twinning playing a key role in many IoT operations processes including IoT application development, testing and control. The implementation of digital twins will also enable distributed remote control of assets, which will place an increasingly heavy burden on IoT Identity management, authentication, and authorization.

Target Audience:
• Network service providers
• Data analytics service providers
• IoT application and service providers
• Virtual and augmented reality companies
• Application developers and software OEMs
• Managed communications service providers
• Enterprise companies across all industry verticals

Report Benefits:
• Digital twin solution forecasts 2020 – 2027
• Understand the different types of digital twinning
• Identify market challenges and opportunities for digital twinning
• Understand the role of virtual twinning in development, simulations, and PLM
• Understand how virtual objects (software programs) function as an abstract of real-world things
• Understand how virtual reality will support digital twinning and vice versa for advanced simulations and control
Select Report Findings:
• Digital twinning will become standard feature/functionality for IoT Application Enablement by 2027
• Over 92% of vendors recognize the need for IIoT APIs and platform integration with digital twinning functionality for industrial verticals
• Nearly 36% of executives across a broad spectrum of industry verticals understand the benefits of digital twinning and 53% of them plan to incorporate within their operations by 2028

Companies in Report:
• ABB
• Allerin Tech Pvt. Ltd.
• Altair Engineering, Inc.
• Amazon Web Services
• ANSYS
• Aucotec AG
• Autodesk Inc.
• Bentley Systems, Incorporated
• CADFEM GmbH
• Cisco Systems
• Cityzenith
• CoSMo Company SAS
• Dassault Systems
• Digital Twin Consortium
• Digital Twin Technologies
• DNV GL
• DXC Technology
• Eclipse Foundation
• Emerson
• Emesent
• Faststream Technologies
• FEINGUSS BLANK GmbH
• Flowserve
• Forward Networks
• General Electric
• Google
• Hitachi Ltd.
• Honeywell
• HP
• IBM
• Industrial Internet Consortium
• Intellias
• Invicara
• KBMax
• Lanner Electronics
• Microsoft
• National Instruments
• NavVis
• Oracle
• PETRA Data Science
• Physical Web
• Pratiti Technologies
• Prodea System Inc.,
• PTC
• QiO Technologies
• Robert Bosch (Germany)
• SAP
• Schneider
• SenSat
• Siemens
• Sight Machine Inc.
• Simplifa GmbH
• Softweb Solutions Inc.
• Sogeti Group
• SWIM.AI (US).
• Synavision
• Sysmex Corporation
• TIBCO Software
• Toshiba Corporation
• UrsaLeo
• Virtalis Limited
• Visualiz
• Wipro Limited
• XenonStack
• Zest Labs


1.0 Executive Summary
2.0 Introduction
2.1 Overview
2.1.1 Understanding Digital Twinning
2.1.2 Cognitive Digital Twining
2.1.3 Digital Thread
2.1.4 Convergence of Sensors and Simulations
2.1.5 IoT API
2.1.6 Software Modules and Elements
2.1.7 Types of Digital Twinning
2.1.8 Digital Twinning Work Process
2.1.9 Importance of Digital Twinning
2.2 Related Technologies and Impact on Digital Twinning
2.2.1 Industrial Internet and Industry 4.0
2.2.2 Pairing Technology
2.2.3 Cyber Physical System
2.2.4 AR, VR and Mixed Reality
2.2.5 Artificial Intelligence and Machine Learning
2.2.6 Additive Manufacturing and 3D Printing
2.2.6.1 DTAM Process
2.3 Potential Application and Outcome Analysis
2.3.1 Maintenance, Repair and Overhaul Operation
2.3.2 Digital Avatar of Consumer Assets
2.3.3 Performance/Service Monitoring
2.3.4 Inspection and Repair
2.3.5 Predictive Maintenance
2.3.6 Product Design & Development
2.3.7 Composite Assembling/Manufacturing
2.3.8 Potential Business Outcome
2.4 Digital Twinning Service Ecosystem
2.4.1 Industrial IoT
2.4.2 Consumer IoT
2.4.3 Industry Development
2.4.4 Digital Twinning as a Service
3.0 Digital Twins Company Assessment
3.1 ABB
3.2 Allerin Tech Pvt. Ltd.
3.3 Altair Engineering, Inc.
3.4 Amazon Web Services
3.5 ANSYS
3.6 Aucotec AG
3.7 Autodesk Inc.
3.8 Bentley Systems, Incorporated
3.9 CADFEM GmbH
3.10 Cisco Systems
3.11 Cityzenith
3.12 CoSMo Company SAS
3.13 Dassault Systems
3.14 Digital Twin Consortium
3.15 Digital Twin Technologies
3.16 DNV GL
3.17 DXC Technology
3.18 Eclipse Foundation
3.19 Emerson
3.20 Emesent
3.21 Faststream Technologies
3.22 FEINGUSS BLANK GmbH
3.23 Flowserve
3.24 Forward Networks
3.25 General Electric
3.26 Google
3.27 Hitachi Ltd.
3.28 Honeywell
3.29 HP
3.30 IBM
3.31 Industrial Internet Consortium
3.32 Intellias
3.33 Invicara
3.34 KBMax
3.35 Lanner Electronics
3.36 Microsoft
3.37 National Instruments
3.38 NavVis
3.39 Oracle
3.40 PETRA Data Science
3.41 Physical Web
3.42 Pratiti Technologies
3.43 Prodea System Inc.,
3.44 PTC
3.45 QiO Technologies
3.46 Robert Bosch (Germany)
3.47 SAP
3.48 Schneider
3.49 SenSat
3.50 Siemens
3.51 Sight Machine Inc.
3.52 Simplifa GmbH
3.53 Softweb Solutions Inc.
3.54 Sogeti Group
3.55 SWIM.AI (US).
3.56 Synavision
3.57 Sysmex Corporation
3.58 TIBCO Software
3.59 Toshiba Corporation
3.60 UrsaLeo
3.61 Virtalis Limited
3.62 Visualiz
3.63 Wipro Limited
3.64 XenonStack
3.65 Zest Labs
4.0 Digital Twins Market Analysis and Forecasts 2020 to 2027
4.1 Global Digital Twins 2020 – 2027
4.2 Digital Twins Market by Type of Twinning 2020 – 2027
4.3 Digital Twins Applications 2020 – 2027
4.4 Digital Twins by Industry 2020 – 2027
4.4.1 Digital Twins in Manufacturing by Type 2020 – 2027
4.4.2 Digital Twins in Smart City by Type 2020 – 2027
4.4.3 Digital Twins in Automotive by Type 2020 – 2027
4.4.4 Digital Twins in Healthcare by Type 2020 – 2027
4.4.5 Digital Twins in Transport by Type 2020 – 2027
4.5 Digital Twins by Region 2020 – 2027
4.5.1 North America Digital Twins 2020 – 2027
4.5.2 South America Digital Twins 2020 – 2027
4.5.3 Europe Digital Twins 2020 – 2027
4.5.4 APAC Digital Twins 2020 – 2027
4.5.5 MEA Digital Twins 2020 – 2027
5.0 Conclusions and Recommendations
Figures
Figure 1: Digital Twinning Model
Figure 2: Building Blocks of Cognitive Digital Twinning
Figure 3: Sample Digital Thread Model in Digital Manufacturing Transformation Process
Figure 4: Example of Types of Digital Twinning
Figure 5: Industrial Internet Building Block and Digital Twinning
Figure 6: Additive Manufacturing Path and Goal
Figure 7: Digital Thread for Additive Manufacturing in AM Process
Figure 8: Data Fusion for MRO Operation
Figure 9: Plataine Composite Manufacturing Model
Figure 10: Digital Twinning Application and Outcome
Figure 11: Global Digital Twins 2020 – 2027
Figure 12: Digital Twins Types 2020 – 2027
Figure 13: Digital Twins Applications 2020 – 2027
Figure 14: Digital Twins by Industry 2020 – 2027
Figure 15: Digital Twins in Manufacturing by Type 2020 – 2027
Figure 16: Digital Twins in Manufacturing by Application 2020 – 2027
Figure 17: Digital Twins in Smart City by Type 2020 – 2027
Figure 18: Digital Twins in Smart City by Application 2020 – 2027
Figure 19: Digital Twins in Automotive by Type 2020 – 2027
Figure 20: Digital Twins in Automotive by Application 2020 – 2027
Figure 21: Digital Twins in Healthcare by Type 2020 – 2027
Figure 22: Digital Twins in Healthcare by Application 2020 – 2027
Figure 23: Digital Twins in Transport by Type 2020 – 2027
Figure 24: Digital Twins in Transport by Application 2020 – 2027
Figure 25: Digital Twins by Region 2020 – 2027
Figure 26: North America Digital Twins by Country 2020 – 2027
Figure 27: North America Digital Twins by Industry 2020 – 2027
Figure 28: United States Digital Twins 2020 – 2027
Figure 29: Canada Digital Twins 2020 – 2027
Figure 30: Mexico Digital Twins 2020 – 2027
Figure 31: South America Digital Twins by Country 2020 – 2027
Figure 32: South America Digital Twins by Industry 2020 – 2027
Figure 33: Argentina Digital Twins 2020 – 2027
Figure 34: Brazil Digital Twins 2020 – 2027
Figure 35: Chile Digital Twins 2020 – 2027
Figure 36: Europe Digital Twins by Country 2020 – 2027
Figure 37: Europe Digital Twins by Industry 2020 – 2027
Figure 28: U.K. Digital Twins 2020 – 2027
Figure 39: Germany Digital Twins 2020 – 2027
Figure 40: France Digital Twins 2020 – 2027
Figure 41: Spain Digital Twins 2020 – 2027
Figure 42: Italy Digital Twins 2020 – 2027
Figure 43: Poland Digital Twins 2020 – 2027
Figure 44: Russia Digital Twins 2020 – 2027
Figure 45: APAC Digital Twins by Country 2020 – 2027
Figure 46: APAC Digital Twins by Industry 2020 – 2027
Figure 47: China Digital Twins 2020 – 2027
Figure 48: Japan Digital Twins 2020 – 2027
Figure 49: South Korea Digital Twins 2020 – 2027
Figure 50: Australia Digital Twins 2020 – 2027
Figure 51: India Digital Twins 2020 – 2027
Figure 52: MEA Digital Twins by Country 2020 – 2027
Figure 53: MEA Digital Twins by Industry 2020 – 2027
Figure 54: Qatar Digital Twins 2020 – 2027
Figure 55: Kuwait Digital Twins 2020 – 2027
Figure 56: Saudi Arabia Digital Twins 2020 – 2027
Figure 57: South Africa Digital Twins 2020 – 2027
Tables
Table 1: Global Digital Twins 2020 – 2027
Table 2: Digital Twins Market by Type of Twinning 2020 – 2027
Table 3: Digital Twins Applications 2020 – 2027
Table 4: Digital Twins by Industry 2020 – 2027
Table 5: Digital Twins in Manufacturing by Type 2020 – 2027
Table 6: Digital Twins in Manufacturing by Application 2020 – 2027
Table 7: Digital Twins in Smart City by Type 2020 – 2027
Table 8: Digital Twins in Smart City by Application 2020 – 2027
Table 9: Digital Twins in Automotive by Type 2020 – 2027
Table 10: Digital Twins in Automotive by Application 2020 – 2027
Table 11: Digital Twins in Healthcare by Type 2020 – 2027
Table 12: Digital Twins in Healthcare by Application 2020 – 2027
Table 13: Digital Twins in Transport by Type 2020 – 2027
Table 14: Digital Twins in Transport by Application 2020 – 2027
Table 15: Digital Twins by Region 2020 – 2027
Table 16: North America Digital Twins by Country 2020 – 2027
Table 17: North America Digital Twins by Industry 2020 – 2027
Table 18: South America Digital Twins by Country 2020 – 2027
Table 19: South America Digital Twins by Industry 2020 – 2027
Table 20: Europe Digital Twins by Country 2020 – 2027
Table 21: Europe Digital Twins by Industry 2020 – 2027
Table 22: APAC Digital Twins by Country 2020 – 2027
Table 23: APAC Digital Twins by Industry 2020 – 2027
Table 24: MEA Digital Twins by Country 2020 – 2027
Table 25: MEA Digital Twins by Industry 2020 – 2027

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