Summary
米国調査会社マインドコマース(Mind Commerce)の下記の調査レポートのセット販売です。たいへんお得な価格設定です。
Overview:
Digital twinning refers to mapping the physical world to the digital world in which Internet of Things (IoT) platforms and software are leveraged to create a digital representation of physical object or asset. The digital twin of a physical object can provide information about the asset such as its physical state and disposition. Accordingly, digital twins represent a form of physical-to-cyber convergence.
Digital twin solutions can be leveraged for many purposes ranging from design and simulations for production to observation and control in an operational environment. Digital twin systems also rely upon Artificial Intelligence (AI) for machine-based learning, analytics, and other AI based, data oriented processes. Accordingly, digital twin solutions are a good example of the power of the Artificial Intelligence of Things (AIoT) as they leverage the convergence of AI and IoT.
Digital Twin Technology
Digital twin technology represents software that replicates physical machines enabling remote control and operation. Digital twinning enables a cyber object to replicate a real thing in both form and function, allowing control of real things (e.g. things in the real world such as a piece of equipment) by manipulating digital objects in a software-constructed world. The three primary scenarios for digital twin technology include:
• IoT Virtual-to-Real (V2R): Scenario in which virtual objects that can be provisioned and administered to interface with real objects, which will be necessary for many purposes, including monitoring and control.
• IoT Real-to-Virtual (R2V): Scenario in which real-objects provide feedback, alerts, and even control of virtual objects (software programs via Software Defined Networks) and platforms (hardware and software put in place to orchestrate IoT networks and assets).
• IoT Virtual-to-Virtual (V2V): Scenario in which virtual objects are involved in simulation and testing for IoT networks, including end-nodes and assets. IoT is new, and potentially dangerous (e.g. control and security issues), necessitating platforms for IoT V2V.
The above scenarios will be employed singularly and in combination across different industry verticals in accordance with their overall IoT operational readiness as well as physical-to-cyber integration on a product-by-product and/or service-by-service basis. IoT enabled digital twin technology will facilitate dramatic changes in a wide range of consumer, enterprise, and industrial products and services. Impacted areas cover a wide range including everything from marketing and advertising to operations and product lifecycle management.
Teleoperations Technology
Teleoperation represents the ability to operate equipment or a machine from a distance. A specific form of teleoperation involving remote control of a robot from a distance is referred to as tele-robotics. Teleoperation and tele-robotics are both supported by ICT infrastructure including broadband communications, sensors, machine to machine (M2M) communications, and various IoT technologies.
Enhancements in wireless broadband are untethering teleoperation. Prior to 5G and Mobile Edge Computing (MEC), Teleoperation is largely relegated to fixed communications connections. 5G and MEC will enable Teleoperation anywhere there is 5G coverage, enabling many new consumer and industrial automation scenarios involving robotics.
Digital Twin and Teleoperation Solutions
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. Mind Commerce sees digital twinning playing a key role in many IoT operations processes including IoT application development, testing and control. Digital twinning can be very useful for modeling and simulations of new systems such as IoT enabled process automation. For example, it may be leveraged to allow management to become more familiar and comfortable with IoT based apps for enterprise and industrial solutions.
Advanced IoT systems will utilize digital twin technology to enable next generation teleoperation. The implementation of digital twins will also enable distributed remote control of assets, which will drive a market need for IoT identity management, authentication, and authorization. Due in part to the need to pull many different resources together, Mind Commerce sees a developing Digital Twinning as a Service (DTaaS) marketplace. DTaaS solutions will be leveraged for many purposes including design, operations management, systems optimization, and more.
Digital Twin and Teleoperation Market Research
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 twinning 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 in many market segments and use cases including manufacturing simulations, predictive analytics, and more.
This research also evaluates the emerging role of Teleoperation and Telerobotics in the era of Industry 4.0. The report analyzes the impact of Teleoperation and Telerobotics solutions in different industry verticals and technology sectors. The report also provides market forecasts for IIoT Teleoperation and Telerobotics systems, services, and solutions. The report also evaluates the role of Digital Twin technology in teleoperation and telerobotics.
Report Benefits:
• Digital Twin forecasts 2019 – 2024
• Understand the different types of Digital Twinning
• Identify market challenges and opportunities for digital twinning
• Understand the role of digital 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:
• Up to 85% of all IoT Platforms will contain some form of digit twinning capability by 2024
• Digital twinning will become standard feature/functionality for IoT application enablement by 2024
• Over 92% of software player recognize the need for IoT APIs and platform integration with digital twinning functionality
• Nearly 27% of executives across a broad spectrum of industrial verticals understand the benefits of digital twinning and 78% of them plan to incorporate within their operations by 2024
Target Audience:
• Network service providers
• Industrial robotics companies
• Data analytics service providers
• Systems integration companies
• IoT application and service providers
• Application developers and software OEMs
Companies in Report:
• Allerin
• Altair
• Amazon Web Services
• ANSYS
• Aucotec
• Autodesk
• CADFEM
• HP
• CoSMo Company SAS
• Dassault Systèmes
• DNV GL
• FEINGUSS BLANK
• GE
• IBM
• Microsoft
• Oracle
• Prodea
• PTC
• Bosch
• SAP
• Siemens
• Sight Machine
• TIBCO Software
• Toshiba
• Virtalis
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Table of Contents
Digital Twins Market Sizing and Solution Outlook
1 Executive Summary
2 Introduction
2.1 Understanding Digital Twinning
2.1.1 Importance of Digital Twinning
2.1.2 Mapping Real World to Virtual World
2.2 Important Concepts
2.2.1 Cognitive Digital Twining
2.2.2 Digital Threading
2.2.3 Convergence of Sensors and Simulations
2.2.4 Software Modules and Elements
2.2.5 Digital Twinning Types
2.2.6 Digital Twinning Work Processes
3 Supporting Technologies
3.1 Industrial IoT and Industry 4.0
3.2 Pairing Technology
3.3 Cyber Physical Systems
3.4 Augmented, Virtual, and Mixed Reality
3.5 Artificial Intelligence Technologies
3.6 Additive Manufacturing and 3D Printing
3.7 Digital Thread for Additive Manufacturing
4 Digital Twin Product and Service Ecosystem
4.1 Digital Twinning Impact on Industry Segments
4.1.1 Industrial IoT
4.1.2 Consumer IoT
4.2 Application Development and Operations
4.2.1 IoT Application Programming Interfaces
4.2.2 Virtual Objects and Control of Real Assets
4.2.3 Identity Management, Authentication, and Authorization
4.2.3.1 IoT Identity Management
4.2.3.2 Virtual Identities for Digital Twinning Operations
4.2.3.3 Authentication and Authorization
4.3 Digital Twin Use Cases and Applications
4.3.1 Maintenance, Repair and Overhaul Operations
4.3.2 Digital Avatar of Consumer Assets
4.3.3 Performance/Service Monitoring
4.3.4 Inspection and Repair
4.3.5 Predictive Maintenance
4.3.6 Product Design and Development
4.3.7 Composite Assembling/Manufacturing
4.3.8 Monitoring Business Outcomes
4.4 Digital Twinning as a Service (DTaaS)
5 IoT Digital Twinning Market Forecast 2019 – 2024
5.1 Global Market Forecast 2019 – 2024
5.1.1 Aggregate Market for Digital Twinning
5.1.2 Market for Software Module
5.1.3 Market for Software Type
5.1.4 Market for Software Category
5.1.5 Market for Industry Segment
5.1.6 Market for Business Model
5.1.7 Market for Industry Vertical
5.2 Regional Market Forecast 2019 – 2024
5.2.1 Digital Twining Market by Region
5.2.2 North America IoT Digital Twinning Market
5.2.3 Europe IoT Digital Twinning Market
5.2.4 APAC IoT Digital Twinning Market
5.3 Digital Twinning Connected IoT Things Forecast 2019 – 2024
5.3.1 Aggregate Digital Twinning Connected IoT Things
5.3.2 Digital Twinning IoT Things by Type
5.3.3 Digital Twinning IoT Things by Region
5.3.3.1 North America Digital Twinning IoT Things
5.3.3.2 Europe Digital Twinning IoT Things
5.3.3.3 APAC Digital Twinning IoT Things
6 Vendor Analysis
6.1 Google
6.1.1 Physical Web
6.2 General Electric
6.2.1 Predix Platform and Digital Twinning
6.2.2 Software Modeling Platform
6.2.3 Microsoft Partnership for Industrial Cloud
6.2.4 Partnership with Maana to Extend Digital Twin across All Enterprise Assets
6.3 PTC
6.3.1 ThingWorx IoT Solution
6.3.2 Product Lifecycle Management
6.4 Siemens PLM Software
6.5 Computer Science Corporation
6.5.1 Manufacturing Simulation Process
6.5.2 Hybrid Car Manufacturing Model
6.6 SAP SE
6.7 Sight Machine Inc.
6.8 Eclipse Software
6.8.1 Eclipse Ditto
6.9 Amazon Web Services
6.10 Oracle Corporation
6.10.1 Digital Twin Approach
6.11 Dassault Systemes
6.11.1 3DEXPERIENCE platform
6.12 ANSYS Inc.
6.12.1 Pervasive Engineering Simulation
6.13 Arrayent Inc.
6.13.1 Device Virtualization Model
6.14 Autodesk Inc.
6.15 Sysmex Corporation
6.16 Core Systems
7 Conclusions and Recommendations
Appendix
Connected IoT Devices 2019 – 2024
Connected IoT Devices by Type 2019 – 2024
Connected Sensor Enabled Objects 2019 – 2024
Global IoT Simulation Market by Software Type 2019 – 2024
IoT Things Management System Market 2019 – 2024
IoT Smart Building Market for Software and System 2019 – 2024
Vehicle to Everything Module Deployment 2019 – 2024
Figures
Figure 1: Digital Twinning Model
Figure 2: Building Blocks of Cognitive Digital Twinning
Figure 3: Digital Thread Model in Digital Manufacturing Transformation Process
Figure 4: Types of Digital Twinning
Figure 5: Industrial Internet Building Block and Digital Twinning
Figure 6: IoT Orchestration and Mediation Ecosystem
Figure 7: Additive Manufacturing Impacts
Figure 8: Digital Thread for Additive Manufacturing in AM Process
Figure 9: APIs support Physical to Cyber World Communications
Figure 10: IoT Identity Database
Figure 11: IoT Virtual Identity Database
Figure 12: Data Fusion for MRO Operation
Figure 13: Plataine Composite Manufacturing Model
Figure 14: Digital Twinning Application and Outcome
Figure 15: Global IoT Digital Twining Market 2019 – 2024
Figure 16: Global Digital Twinning Connected IoT Things 2019 – 2024
Figure 17: GE Predix Software Platform
Figure 18: CSC Digital Twinning as Manufacturing Insight
Figure 19: CSC Perspective Insight Process of Data Streams
Figure 20: Digital Twin Simulation Performance of Hybrid Car
Figure 21: Digital Twinning Simulation for Hybrid Car
Figure 22: Contextualize Dashboard for Plant Floor Operation
Figure 23: Eclipse Ditto IoT Integration Framework
Figure 24: Role of Software in IoT Integration Landscape
Figure 25: Oracle Digital Twinning Strategy
Figure 26: ANSYS Digital Twin Modeling for Pump
Figure 27: Autodesk SeeControl Dashboard
Figure 28: Global Connected IoT Device Deployment 2019 – 2024
Figure 29: Global Connected Sensor Enabled Objects 2019 – 2024
Tables
Table 1: Global IoT Digital Twining Market by Software Module 2019 – 2024
Table 2: Global IoT Digital Twining Market by Software Type 2019 – 2024
Table 3: Global IoT Digital Twining Market by Software Category 2019 – 2024
Table 4: Global IoT Digital Twining Market by Industry Segment 2019 – 2024
Table 5: Global IoT Digital Twining Market by Business Model 2019 – 2024
Table 6: Global IoT Digital Twining Market by Industry Vertical 2019 – 2024
Table 7: IoT Digital Twining Market by Region 2019 – 2024
Table 8: North America IoT Digital Twining Market by Software Module 2019 – 2024
Table 9: North America IoT Digital Twining Market by Software Type 2019 – 2024
Table 10: North America IoT Digital Twining Market by Software Category 2019 – 2024
Table 11: North America IoT Digital Twining Market by Industry Segment 2019 – 2024
Table 12: North America IoT Digital Twining Market by Business Model 2019 – 2024
Table 13: North America IoT Digital Twining Market by Industry Vertical 2019 – 2024
Table 14: North America IoT Digital Twining Market by Country 2019 – 2024
Table 15: Europe IoT Digital Twining Market by Software Module 2019 – 2024
Table 16: Europe IoT Digital Twining Market by Software Type 2019 – 2024
Table 17: Europe IoT Digital Twining Market by Software Category 2019 – 2024
Table 18: Europe IoT Digital Twining Market by Industry Segment 2019 – 2024
Table 19: Europe IoT Digital Twining Market by Business Model 2019 – 2024
Table 20: Europe IoT Digital Twining Market by Industry Vertical 2019 – 2024
Table 21: Europe IoT Digital Twining Market by Country 2019 – 2024
Table 22: APAC IoT Digital Twining Market by Software Module 2019 – 2024
Table 23: APAC IoT Digital Twining Market by Software Type 2019 – 2024
Table 24: APAC IoT Digital Twining Market by Software Category 2019 – 2024
Table 25: APAC IoT Digital Twining Market by Industry Segment 2019 – 2024
Table 26: APAC IoT Digital Twining Market by Business Model 2019 – 2024
Table 27: APAC IoT Digital Twining Market by Industry Vertical 2019 – 2024
Table 28: APAC IoT Digital Twining Market by Country 2019 – 2024
Table 29: Global Digital Twinning Connected IoT Things by Type 2019 – 2024
Table 30: Digital Twinning Connected IoT Things by Region 2019 – 2024
Table 31: North America Digital Twinning Connected IoT Things by Types 2019 – 2024
Table 32: North America Digital Twinning Connected IoT Things by Country 2019 – 2024
Table 33: Europe Digital Twinning Connected IoT Things by Type 2019 – 2024
Table 34: Europe Digital Twinning Connected IoT Things by Country 2019 – 2024
Table 35: APAC Digital Twinning Connected IoT Things by Type 2019 – 2024
Table 36: APAC Digital Twinning Connected IoT Things by Country 2019 – 2024
Table 37: Global Connected IoT Device by Type 2019 – 2024
Table 38: Global IoT Simulation Market by Software Type 2019 – 2024
Table 39: Global IoT Things Management System Market by Software Deployment 2019 – 2024
Table 40: Global IoT Smart Buildings Market by Automation Software and System Type 2019 – 2024
Table 41: Global V2X Module Deployment 2019 – 2024
Teleoperation and Telerobotics: Technologies and Solutions for Enterprise and Industrial Automation
1.0 Executive Summary
2.0 Overview
3.0 Automation and Robotics in Industrial IoT (IIoT)
3.1 Industrial IoT in Context
3.2 Technology Transformation: Broadband Communications
3.3 Industrial Productivity and IIoT Economic Contribution
3.4 Industrial Efficiency and IIoT
3.5 IIoT Adoption Trends Globally
3.6 Smart Factories, Intelligent Manufacturing, and Industry 4.0
3.7 Industrial Revolution and Migration
3.8 IIoT Building Blocks
3.9 Industrial Automation and IIoT
3.10 Human Aspect of IIoT
3.11 Integrated Digital and Human Workforce
3.12 Wearable Technology and IIoT
3.13 Workforce Augmentation
3.14 Hybrid Industry and Robotics
3.15 Drone Logistics
4.0 Teleoperation and Telerobotics
4.1 Telerobotics
4.1.1 Agile Robots: Move like Humans in Dangerous Environments
4.1.2 Collaborative Industrial Robots (CoBots)
4.2 Telepresence
4.3 Teleoperation
4.4 Telemanipulation
4.5 Internet Telerobotics
4.6 The Web and Telerobotics
4.7 Real-time Transport Protocol (RTP)
4.8 Technical Architecture of Telerobitcs System
4.8.1 Telerobot
4.8.2 Web Client
4.8.3 Communications
4.8.4 Transmission Protocol
4.9 Bilateral Control and Haptic Feedback
4.9.1 The Robonaut Case
4.10 Unilateral vs. Bilateral Model
4.10.1 Performance Matrix
5.0 Role of Teleoperation and Telerobotics in Automation
5.1 The Role of Telerobotics in Industrial Automation
5.2 Impact on Logistics and Supply Chain
5.3 Industrial Producer/Consumer (Prosumer) Value Chain
5.4 Employment Transformation and the Future for Factory Workers
5.5 Clear Production
5.6 Manufacturing Supply Chain and Robotics
5.7 Connected Service and Teleoperation
5.8 Benefits and Drawbacks
5.9 Edge Computing for IoT
5.10 Swarm Computing
6.0 Impact of Teleoperation and Telerobotics
6.1 Technologies facilitating Hyper Automation
6.2 Rise of the Hybrid Enterprise to Optimize IIoT
6.3 Intelligent Human Workforce: Augmented by AI and Robots
6.4 Drone Logistics to become Common for B2B as well as B2C
6.5 Industrial Robotics remains the Key Area of Focus
6.6 Rise of the Smart Machine driven Factory of the Future
6.7 Engaging the Consumer throughout the Product Lifecycle
6.8 A Transformation to an Outcome Economy
6.9 Information Technology (IT) & Operational Technology (OT) Convergence
6.10 New Stakeholders Emerge and New Relationships Develop
7.0 Teleoperation and Telerobotics in Edge Networks
7.1 Edge Computing
7.2 Multi-access Edge Computing (MEC)
7.3 Teleoperation and Telerobotics in MEC
8.0 Teleoperation and Telerobotics Market Analysis and Forecasts
8.1 Market for Teleoperation and Tele-robotics in IIoT 2019 – 2024
8.1.1 IIoT Teleoperation and Tele-robotics Solutions by Segment 2019 – 2024
8.1.2 IIoT Teleoperation and Tele-robotics Solutions by Region 2019 – 2024
8.1.3 IIoT Teleoperation and Tele-robotics Solutions by Tech and App 2019 – 2024
8.1.4 IIoT Teleoperation and Tele-robotics Solution by Industry Vertical 2019 – 2024
8.1.5 Artificial Intelligence in IIoT Teleoperation and Tele-robotics Solutions
8.2 Digital Twinning and Physical Asset Security
8.3 IT Process Efficiency Increase
8.4 AI to Replace Human Form Work
8.5 Enterprise AI Adoption Trends
8.6 Inclusion of AI as IT Requirement
9.0 Conclusions and Recommendations
9.1 Need for Enhanced Operational Support
9.2 IIoT: Don’t Forget the Consumer
10.0 Appendix: Digital Twin Product and Service Ecosystem
10.1 Digital Twinning Impact on Industry Segments
10.1.1 Industrial IoT
10.1.2 Consumer IoT
10.2 Application Development and Operations
10.2.1 IoT Application Programming Interfaces
1.1.1 Virtual Objects and Control of Real Assets
10.2.2 Identity Management, Authentication, and Authorization
10.2.2.1 IoT Identity Management
10.2.2.2 Virtual Identities for Digital Twinning Operations
10.2.2.3 Authentication and Authorization
10.3 Digital Twin Use Cases and Applications
10.3.1 Maintenance, Repair and Overhaul Operations
10.3.2 Digital Avatar of Consumer Assets
10.3.3 Performance/Service Monitoring
10.3.4 Inspection and Repair
10.3.5 Predictive Maintenance
10.3.6 Product Design and Development
1.1.2 Composite Assembling/Manufacturing
10.3.7 Monitoring Business Outcomes
10.4 Digital Twinning as a Service (DTaaS)
Figures
Figure 1: Telerobotics System Architecture
Figure 2: Web Based Robotic System
Figure 3: Edge Computing Architecture
Figure 4: AI Solution driven Enterprise Productivity Gains 2019 – 2024
Figure 5: Global Digital Twinning Connected IoT Things 2019 – 2024
Figure 6: AI Robo-Boss Supervision of Worker 2019 – 2024
Figure 7: APIs support Physical to Cyber World Communications
Figure 8: IoT Identity Database
Figure 9: IoT Virtual Identity Database
Figure 10: Data Fusion for MRO Operation
Figure 11: Composite Manufacturing Model
Figure 12: Digital Twinning Applications and Outcomes
Tables
Table 1: MEC based Teleoperation, Tele-robotics and Telepresence Market 2019 – 2024
Table 2: Teleoperation and Tele-robotics Solution by Segment 2019 – 2024
Table 3: Teleoperation and Tele-robotics Solution Market by Region 2019 – 2024
Table 4: Teleoperation and Tele-robotics by Sector/Tech/App 2019 – 2024
Table 5: Teleoperation and Tele-robotics Solution by Industry Vertical 2019 – 2024
Table 6: AI in Teleoperation and Tele-robotics Software Market
Table 7: AI Software Conducted Economic Transaction 2019 – 2024
Table 8: AI Empowered Building Security System 2019 – 2024
Table 9: AI Empowered Business Analytics Software 2019 – 2024
Table 10: AI Self Service Visual Discovery vs. Traditional IT Controlled Tools 2019 – 2024
Table 11: AI Smart Machine Created Business Content 2019 – 2024
