Global Next Generation Industrial Marketplace Report 2017: Three Powerful Forces are Transforming the Industrial Marketplace – Teleoperation, Connected Manufacturing, and Digital Twin Technology

/EIN News/ — Dublin, Dec. 07, 2017 (GLOBE NEWSWIRE) — The “Next Generation Industrial Marketplace: Teleoperation, Connected Manufacturing, and Digital Twin Solutions” report has been added to Research and Markets’ offering.

As part of the fourth industrial revolution, manufacturing and industrial processes are rapidly evolving due to a few key technologies including machine-to-machine communications, robotics, and various Industrial Internet of Things (IIoT) solutions. Three particularly powerful forces are converging to transform the industrial marketplace:

  • Teleoperation and Telerobotics plays a profound role in industrial automation and the rapidly evolving industrial Internet of Things (IIoT) arena. Robots and remote control systems enable various industries to control real machines/equipment by virtual object through master controlling interfaces.
  • Connected Manufacturing is evolving to become one of the most important business segments of Industrial IoT (IIoT) and represents a worldwide market opportunity, especially in the developed nations.
  • Digital Twinning refers to the mapping of 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 data about the asset such as its physical state and disposition.

This research 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, and provides market forecast for IIoT Teleoperation and Telerobotics systems, services, and solutions. This research also assesses the technologies, companies, and solutions involved in next generation Connected Manufacturing.

This research also 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.

Target Audience:

  • Manufacturing companies
  • Telecom service providers
  • ICT infrastructure suppliers
  • Industrial robotics companies
  • Semiconductor manufacturers
  • Embedded systems companies
  • Systems integration companies
  • Wireless device manufacturers
  • Systems integration companies
  • Sensors and actuators suppliers
  • R&D labs and research organizations
  • Connected/Smart industry ecosystem

Key Topics Covered:

Teleoperation and Telerobotics in Industrial Internet of Things (IIoT)

1. Executive Summary

2. Overview Of Industrial IoT (IIoT)
2.1 How Industrial IoT (IIoT) Is Different From Consumer IoT?
2.2 Technology Transformation: Wired And Wireless
2.3 Industrial Productivity And IIoT Economic Contribution
2.4 Industrial Efficiency And IIoT
2.5 IIoT Adoption Trends Globally
2.6 Industry 4.0 And Automation
2.7 Industrial Revolution And Migration
2.8 IIoT Building Blocks
2.9 Industrial Automation And IIoT
2.10 Human Aspect Of IIoT
2.11 Integrated Digital And Human Workforce
2.12 Wearable Technology And IIoT
2.13 Workforce Augmentation
2.14 Hybrid Industry And Robotics
2.15 Drone Logistics

3. Teleoperation And Telerobotics
3.1 Telerobotics
3.1.1 Agile Robots: Move Like Humans In Dangerous Environments
3.1.2 Collaborative Industrial Robots (CoBots)
3.2 Telepresence
3.3 Teleoperation
3.4 Telemanipulator
3.5 Internet Telerobotics
3.6 The Web And Telerobotics
3.7 Real-Time Transport Protocol (RTP)
3.8 Technical Architecture Of Telerobitcs System
3.8.1 Telerobot
3.8.2 Web Client
3.8.3 Communications
3.8.4 Transmission Protocol
3.9 Bilateral Control And Haptic Feedback
3.9.1 The Robonaut Case
3.10 Unilateral Vs. Bilateral Model
3.10.1 Performance Matrix

4. Role Of Teleoperation And Telerobotics
4.1 The Role Of Telerobotics In Industrial Automation
4.2 Impact On Logistics And Supply Chain
4.3 Industrial Producer/Consumer (Prosumer) Value Chain
4.4 Employment Transformation And The Future For Factory Workers
4.5 Clear Production
4.6 Manufacturing Supply Chain And Robotics
4.7 Connected Service And Teleoperation
4.8 Benefits And Drawbacks
4.9 Fog Computing
4.10 Swarm Computing

5. Teleoperation And Telerobotics Market And Forecasts 2016 – 2021
5.1 IIoT Teleoperation And Telerobotics Market 40
5.1.1 Global Industrial IoT Market And Technology
5.1.2 IIoT Teleoperation And Telerobotics Solution Market And Core Technology
5.1.3 Technologies Used In IIoT Teleoperation And Telerobotics Solutions
5.1.4 IIoT Teleoperation And Telerobotics Solution By Segments
5.1.5 IIoT Teleoperation And Telerobotics Solution By Region
5.1.6 Industrial IoT Connection Base
5.1.7 Investment And Deal Into Industrial IoT
5.2 Technology Application
5.2.1 IIoT Teleoperation And Telerobotics Solution By Technology And Application
5.2.2 Space Technology
5.2.3 Videoconferencing
5.2.4 Marine Robotics
5.2.5 Robotic In Healthcare
5.2.6 Other Areas
5.3 Industry Vertical
5.3.1 Teleoperation And Telerobotics Solution By Industry Vertical
5.3.2 Transportation
5.3.3 Nuclear Operations
5.3.4 Energy and Power Operations
5.3.5 Aerospace & Defense
5.3.6 Underwater Facilities
5.3.7 Maintenance And Repair
5.3.8 Manufacturing
5.3.9 Retail
5.3.10 Healthcare
5.3.11 Oil And Gas
5.3.12 Metals And Mining
5.3.13 Agriculture
5.4 Teleoperation And Telerobotics Driven Market
5.4.1 Artificial Intelligence (AI) In Teleoperation And Telerobotics Software Solutions
5.4.2 Smart Machine And Machine Learning In Teleoperation And Telerobotics
5.4.3 Investment In Industrial Robotics

6. Impact Of Teleoperation And Telerobotics
6.1 Technologies Driving And Facilitating Hyper Automation
6.2 Rise Of The Hybrid Enterprise To Optimize IIoT
6.3 Intelligent Human Workforce Will Be 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 The Industrial Consumer: Engagement Througout 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. Conclusions And Recommendations
7.1 Need For Enhanced Operational Support
7.2 IIoT: Don’t Forget The Consumer

Connected Manufacturing 2017 – 2022

1 Introduction
1.1 Background
1.2 Research Scope
1.2.1 Key Questions Answered
1.3 Target Audience
1.4 Companies in the Report

2 Executive Summary
2.1 Global Connected Manufacturing Market
2.2 Top Line Growth
2.3 Success Factors
2.3.1 Partnerships for Value Added Services
2.3.2 Monetization Strategies
2.3.3 Establishing Predictable Recurring Income Streams

3 Overview
3.1 Manufacturing Industry
3.2 Digital Transformation of the Manufacturing Industry
3.3 IIoT is a Launch Pad for Connected Manufacturing
3.4 Connected Manufacturing Outlook
3.5 Important Revenue Making Applications of Connected Manufacturing
3.5.1 Optimizing Operations
3.5.2 Real-time Tracking of Asset/Equipment/Raw Material
3.5.3 Asset Health Monitoring and Predictive Maintenance
3.5.4 Manufacturing Analytics
3.5.5 Worker Safety
3.6 Future Market Potential for Connected Manufacturing

4 Global Markets for Connected Manufacturing
4.1 Factors for Market Growth through 2022
4.2 End-user Market by Type of Products 2017 – 2022
4.2.1 Need Assessment and Consulting for Connected Manufacturing will be $4 billion business by 2022
4.2.2 Installation/Expansion of Connectivity Systems will generate markets of about $10 billion by 2022
4.2.3 Installation/Expansion of Sensor systems, Embedded Devices, and Wearables in Connected Manufacturing through 2022
4.3 Revenue Forecasts in Geographical Markets for Connected Manufacturing
4.4 Connected Manufacturing Market by Application Type
4.5 Big Data Analytics in Connected Manufacturing
4.5.1 Markets for Big Data in Connected Manufacturing
4.6 Artificial Intelligence in Connected Manufacturing
4.7 Manufacturing Execution System (MES)

5 Connected Manufacturing Technologies
5.1 Enabling Technologies for Connected Manufacturing
5.1.1 AI and Connected Robotics to make a Big Impact in Connected Manufacturing
5.1.2 Reliable and Fast Connectivity is Crucial to Connected Manufacturing
5.1.3 Choice of Networking and Connectivity is a Key Decision Area

6 Vendor Analysis
6.1 Connected Manufacturing Ecosystem
6.2 Current State of Connected Manufacturing
6.3 Key Connected Manufacturing Solutions
6.3.1 Bosch Software innovations: Bosch IoT Suite
6.3.2 Cisco Inc.
6.3.3 GE
6.3.4 IBM Corp.
6.3.5 SAP
6.3.6 Software AG

Internet of Things (IoT) Digital Twinning: Market Outlook for IoT enabled Physical to Virtual Mapping and Management 2017 – 2022

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 2017 – 2022
5.1 Global Market Forecast 2017 – 2022
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 2017 – 2022
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 2017 – 2022
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

For more information about this report visit https://www.researchandmarkets.com/research/k7t8v5/global_next?w=12

                    
                    
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