Teleoperation Market


Teleoperation and Telerobotics: Technologies and Solutions for Enterprise and Industrial Automation 2018 – 2023

This Teleoperation Market report 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.

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Teleoperation represents the ability to operate equipment or a machine from a distance. The Teleoperation Market includes telerobotics, which represents remote control of robotics from a distance. Teleoperation and telerobotics are both supported by ICT infrastructure including broadband communications, sensors, machine to machine (M2M) communications, and various Internet of Things (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.

Teleoperation Market Dynamics

Advanced IoT systems will also utilize Digital Twin technology to enable next generation teleoperation. Digital Twinning refers to the mapping of the physical world to the digital world. Coupled with Haptic Internet technologies and Virtual Reality (VR), the teleoperation and telerobotics market will take a major leap as user interfaces are democratized.

Telerobotics works Hand in Hand with Digital Twin Technology and is the Foundation of Cloud Robotics

No longer will special equipment (often located in special locations and controlled by proprietary systems) be required for control. In addition, the field of Cloud Robotics enables a teleoperation/telerobotics as a service model, allowing fractional ownership and/or usage on demand. This will greatly expand the availability and usage of machines for industrial as well as enterprise applications.

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. There are various supporting technologies that will accelerate the adoption of industrial robotics and improve process controlling and monitoring in IIoT environment. These technologies include hardware, such as sensors and activators, as well as software, such as Big Data Analytics and Artificial Intelligence (AI).

While much of the focus is on industrial automation in a manufacturing, there are many industries expected to benefit from IIoT robotics including healthcare, agriculture, and more. In all industry verticals, telerobotics systems transform the business focus towards an Outcome based Economy. This is an emerging model in which businesses compete based on their ability to deliver measurable results to customers. Such outcomes may range from guaranteed machine uptimes on factory floors, to actual amounts of energy savings in commercial buildings, to guaranteed crop yields from a specific parcel of farmland.

Teleoperation Market Report

This report 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.

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Target Audience

AI Companies, Big Data and Analytics Companies, Cloud and Internet of Things Companies, Research and Development Organizations, Robotics Companies, Systems Integration Companies

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Table of Contents

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 2018 – 2023
8.1.1 IIoT Teleoperation and Tele-robotics Solutions by Segment 2018 – 2023
8.1.2 IIoT Teleoperation and Tele-robotics Solutions by Region 2018 – 2023
8.1.3 IIoT Teleoperation and Tele-robotics Solutions by Tech and App 2018 – 2023
8.1.4 IIoT Teleoperation and Tele-robotics Solution by Industry Vertical 2018 – 2023
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 IoT Identity Management Virtual Identities for Digital Twinning Operations 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)


Figure 1: Telerobotics System Architecture
Figure 2: Web Based Robotic System
Figure 3: Edge Computing Architecture
Figure 4: AI Solution driven Enterprise Productivity Gains 2018 – 2023
Figure 5: Global Digital Twinning Connected IoT Things 2018 – 2023
Figure 6: AI Robo-Boss Supervision of Worker 2018 – 2023
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


Table 1: MEC based Teleoperation, Tele-robotics and Telepresence Market 2018 – 2023
Table 2: Teleoperation and Tele-robotics Solution by Segment 2018 – 2023
Table 3: Teleoperation and Tele-robotics Solution Market by Region 2018 – 2023
Table 4: Teleoperation and Tele-robotics by Sector/Tech/App 2018 – 2023
Table 5: Teleoperation and Tele-robotics Solution by Industry Vertical 2018 – 2023
Table 6: AI in Teleoperation and Tele-robotics Software Market
Table 7: AI Software Conducted Economic Transaction 2018 – 2023
Table 8: AI Empowered Building Security System 2018 – 2023
Table 9: AI Empowered Business Analytics Software 2018 – 2023
Table 10: AI Self Service Visual Discovery vs. Traditional IT Controlled Tools 2018 – 2023
Table 11: AI Smart Machine Created Business Content 2018 – 2023

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