Summary

この調査レポートはデジタルツイン市場の概況や関連企業情報などを掲載しています。また2021年から2026年までのデジタルツイン市場の分析と予測結果も掲載しています。

Overview:

This report 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. This includes consideration of use cases by industry vertical.

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 from 2021 to 2026 with global, regional, and major country forecasts.

Select Report Findings:

• Digital twin supported solutions in smart cities will reach $3.77 billion by 2026
• Up to 91% of all IoT Platforms will contain some form of digital twinning capability by 2026
• Digital twinning will become standard feature/functionality for IoT Application Enablement by 2028
• Leading digit twin solutions involve Asset Twinning, Component Twinning, System Twinning, Process and Workflow Twinning
• Over 95% of vendors recognize the need for IIoT APIs and platform integration with digital twinning functionality for industrial verticals
• Over 40% of executives across a broad spectrum of industry verticals understand the benefits of digital twinning and 57% of them plan to incorporate within their operations by 2028

A digital twin is a virtual object representation of a real-world item in which the virtual is mapped to physical things in the real-world such as equipment, robots, or virtually any connected business asset. This mapping in the digital world is facilitated by IoT platforms and software that is 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. Conversely, a digital object may be used to manipulate and control a real-world asset by way of teleoperation. The publisher of this report sees this form of cyber-physical connectivity, signaling, and control 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. Leading digit twin solutions involve Asset Twinning, Component Twinning, System Twinning, Process and Workflow Twinning. Mind Commerce sees digital twinning playing a key role in many related 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. IoT authentication market solutions are also important in support of the “things” involved in IoT, which vary from devices used to detect, actuate, signal, engage, and more. This will become particularly important with respect to digital twin solution integration.

As reflected by the Digital Twin Consortium, Mind Commerce sees some of the key industries to lead cyber-to-physical integration and solutions include aerospace, healthcare, manufacturing, military, natural resources, and public safety sectors. In terms of integrating digital twin technology and solutions with telecommunications and enterprise infrastructure, Mind Commerce sees a need for careful planning from a systems integration, testing, and implementation perspective. This will be especially important in the case of mission critical applications.

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 communication service providers
• Enterprise companies across all industry verticals

Report Benefits:

• Digital twin solution forecasts 2021 ? 2026
• 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

Companies in Report:

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

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Table of Contents

Table of Contents

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 APIs
2.1.6 Software Modules and Elements
2.1.7 Types of Digital Twinning
2.1.8 Digital Twinning Work Processes
2.1.9 Role and 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-to-Physical Systems
2.2.4 AR, VR, and Mixed Reality
2.2.5 Artificial Intelligence and Machine Learning
2.2.6 Additive Manufacturing and 3D Printing
2.3 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 Repairs
2.3.5 Predictive Maintenance
2.3.6 Product Design & Development
2.3.7 Composite Assembling/Manufacturing
2.3.8 Potential Business Outcomes
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 2021 to 2026
4.1 Global Digital Twins 2021 - 2026
4.2 Digital Twins Market by Type of Twinning 2021 - 2026
4.3 Digital Twins Applications 2021 - 2026
4.4 Digital Twins by Industry 2021 - 2026
4.4.1 Digital Twins in Manufacturing by Type 2021 - 2026
4.4.2 Digital Twins in Smart City by Type 2021 - 2026
4.4.3 Digital Twins in Automotive by Type 2021 - 2026
4.4.4 Digital Twins in Healthcare by Type 2021 - 2026
4.4.5 Digital Twins in Transport by Type 2021 - 2026
4.5 Digital Twins by Region 2021 - 2026
4.5.1 North America Digital Twins 2021 - 2026
4.5.2 South America Digital Twins 2021 - 2026
4.5.3 Europe Digital Twins 2021 - 2026
4.5.4 APAC Digital Twins 2021 - 2026
4.5.5 MEA Digital Twins 2021 - 2026
5.0 Conclusions and Recommendations

Figures

Figure 1: Digital Twinning Model
Figure 2: Building Blocks of Cognitive Digital Twinning
Figure 3: Digital Thread Model in Digital Manufacturing Transformation Processes
Figure 4: Example of Types of Digital Twinning
Figure 5: Industrial Internet Building Block and Digital Twinning
Figure 6: Additive Manufacturing Path and Goals
Figure 7: Digital Thread for Additive Manufacturing in AM Process
Figure 8: Data Fusion for MRO Operation
Figure 9: Composite Manufacturing Model
Figure 10: Digital Twinning Application and Outcomes
Figure 11: Global Digital Twins 2021 - 2026
Figure 12: Digital Twins Types 2021 - 2026
Figure 13: Digital Twins Applications 2021 - 2026
Figure 14: Digital Twins by Industry 2021 - 2026
Figure 15: Digital Twins in Manufacturing by Type 2021 - 2026
Figure 16: Digital Twins in Manufacturing by Application 2021 - 2026
Figure 17: Digital Twins in Smart City by Type 2021 - 2026
Figure 18: Digital Twins in Smart City by Application 2021 - 2026
Figure 19: Digital Twins in Automotive by Type 2021 - 2026
Figure 20: Digital Twins in Automotive by Application 2021 - 2026
Figure 21: Digital Twins in Healthcare by Type 2021 - 2026
Figure 22: Digital Twins in Healthcare by Application 2021 - 2026
Figure 23: Digital Twins in Transport by Type 2021 - 2026
Figure 24: Digital Twins in Transport by Application 2021 - 2026
Figure 25: Digital Twins by Region 2021 - 2026
Figure 26: North America Digital Twins by Country 2021 - 2026
Figure 27: North America Digital Twins by Industry 2021 - 2026
Figure 28: United States Digital Twins 2021 - 2026
Figure 29: Canada Digital Twins 2021 - 2026
Figure 30: Mexico Digital Twins 2021 - 2026
Figure 31: South America Digital Twins by Country 2021 - 2026
Figure 32: South America Digital Twins by Industry 2021 - 2026
Figure 33: Argentina Digital Twins 2021 - 2026
Figure 34: Brazil Digital Twins 2021 - 2026
Figure 35: Chile Digital Twins 2021 - 2026
Figure 36: Europe Digital Twins by Country 2021 - 2026
Figure 37: Europe Digital Twins by Industry 2021 - 2026
Figure 28: U.K. Digital Twins 2021 - 2026
Figure 39: Germany Digital Twins 2021 - 2026
Figure 40: France Digital Twins 2021 - 2026
Figure 41: Spain Digital Twins 2021 - 2026
Figure 42: Italy Digital Twins 2021 - 2026
Figure 43: Poland Digital Twins 2021 - 2026
Figure 44: Russia Digital Twins 2021 - 2026
Figure 45: APAC Digital Twins by Country 2021 - 2026
Figure 46: APAC Digital Twins by Industry 2021 - 2026
Figure 47: China Digital Twins 2021 - 2026
Figure 48: Japan Digital Twins 2021 - 2026
Figure 49: South Korea Digital Twins 2021 - 2026
Figure 50: Australia Digital Twins 2021 - 2026
Figure 51: India Digital Twins 2021 - 2026
Figure 52: MEA Digital Twins by Country 2021 - 2026
Figure 53: MEA Digital Twins by Industry 2021 - 2026
Figure 54: Qatar Digital Twins 2021 - 2026
Figure 55: Kuwait Digital Twins 2021 - 2026
Figure 56: Saudi Arabia Digital Twins 2021 - 2026
Figure 57: South Africa Digital Twins 2021 - 2026

Tables

Table 1: Global Digital Twins 2021 - 2026
Table 2: Digital Twins Market by Type of Twinning 2021 - 2026
Table 3: Digital Twins Applications 2021 - 2026
Table 4: Digital Twins by Industry 2021 - 2026
Table 5: Digital Twins in Manufacturing by Type 2021 - 2026
Table 6: Digital Twins in Manufacturing by Application 2021 - 2026
Table 7: Digital Twins in Smart City by Type 2021 - 2026
Table 8: Digital Twins in Smart City by Application 2021 - 2026
Table 9: Digital Twins in Automotive by Type 2021 - 2026
Table 10: Digital Twins in Automotive by Application 2021 - 2026
Table 11: Digital Twins in Healthcare by Type 2021 - 2026
Table 12: Digital Twins in Healthcare by Application 2021 - 2026
Table 13: Digital Twins in Transport by Type 2021 - 2026
Table 14: Digital Twins in Transport by Application 2021 - 2026
Table 15: Digital Twins by Region 2021 - 2026
Table 16: North America Digital Twins by Country 2021 - 2026
Table 17: North America Digital Twins by Industry 2021 - 2026
Table 18: South America Digital Twins by Country 2021 - 2026
Table 19: South America Digital Twins by Industry 2021 - 2026
Table 20: Europe Digital Twins by Country 2021 - 2026
Table 21: Europe Digital Twins by Industry 2021 - 2026
Table 22: APAC Digital Twins by Country 2021 - 2026
Table 23: APAC Digital Twins by Industry 2021 - 2026
Table 24: MEA Digital Twins by Country 2021 - 2026
Table 25: MEA Digital Twins by Industry 2021 - 2026