Global IIoT Markets Report 2020-2025: Lucrative Opportunities for a Centralized Cloud as a Service Model and Edge Computing Cloud Solutions

DUBLIN, Oct. 7, 2020 /PRNewswire/ — The “Global IIoT Market: Technologies, Solutions & Services 2020-2025” report has been added to’s offering. A great majority of industrial companies are currently using IoT solutions for internal business benefits. Future Industrial Internet of Things (IIoT) solutions will focus on strategic differentiation including […]

DUBLIN, Oct. 7, 2020 /PRNewswire/ — The “Global IIoT Market: Technologies, Solutions & Services 2020-2025” report has been added to’s offering.

A great majority of industrial companies are currently using IoT solutions for internal business benefits. Future Industrial Internet of Things (IIoT) solutions will focus on strategic differentiation including connected products, greatly improving the supplier-customer relationship.

This research evaluates IIoT technologies, companies, applications, services, and solutions. Report forecasts include overall global and regional IIoT outlook as well as IIoT by industry vertical, software, hardware, and services for the period 2020 to 2025.

Industrial Internet of Things (IIoT) solutions are poised to transform many industry verticals including healthcare, retail, automotive, and transport. For many industries, IIoT will significantly improve reliability, production, and customer satisfaction. While, IIoT will initially improve existing processes and augmented current infrastructure, the ultimate goal will be to realize entirely new, and dramatically improved products and services. Successful companies will be those that understand how and where IoT technologies and solutions will drive opportunities for operational improvements, new and enhanced products and services, as well as completely new business models.

IIoT will significantly improve reliability, production, and customer satisfaction. Initially focusing on improving existing processes and augmented current infrastructure, IIoT will rely upon as well as integrate with certain key technologies, devices, software, and applications. IIoT involves a substantial breadth and depth of technologies, many of which require careful integration and orchestration. Leading managed service providers are looking beyond core Machine-to-Machine (M2M) communications towards more advanced services that involve IoT platform and device mediation, data management, and application coordination.

M2M messaging itself is evolving to a flatter hierarchical structure with edge computing networks, which will require managed privacy and security services to ensure data integrity and asset protection. M2M communications for IIoT will become increasingly necessary for enterprise and industrial organizations that wish to fully leverage IoT technologies. Data analytics solutions provide the means to process vast amounts of machine-generated, unstructured data captured by M2M systems. As IIoT progresses, there will be an increasingly large amount of unstructured machine data. The growing amount of machine generated industrial data will drive substantial opportunities for AI support of unstructured data analytics solutions.

One clear area of improvement for industrial businesses will be teleoperation and tele-robotics as various industries will leverage the ability to control real machines/equipment by virtual objects through master controlling interfaces. The researcher sees teleoperation being transformed by digital twin technologies, which refers to the mapping of the physical world to the digital world in which IoT Platforms and Software are leveraged to create a digital representation of physical objects or assets. The digital twin of a physical object can provide data about the asset such as its physical state and disposition.

The use of 5G for IIoT networks will be of great importance to certain industry verticals such as agriculture, logistics, and manufacturing. The combination of robotics, teleoperation, and cloud technologies is poised to transform enterprise operations, industrial processes, and consumer services across many industrial related industry verticals. All of these industrial sectors will also require efficient and effective computing systems. There is a substantial opportunity for both a centralized cloud as a service model for software, platforms, and infrastructure as well as edge computing cloud solutions for industry. The combination of robotics, teleoperation, and cloud technologies is poised to transform industrial processes across many industry verticals.

The industrial sector is rapidly integrating IIoT solutions with many of the aforementioned technologies. This convergence will have a profound effect on industrial processes as well as create opportunities for product and service transformation. In some cases, entirely new business models will result from integration with broadband wireless and cloud technologies as the as a service model transforms many existing products into services. In addition, IIoT solutions are evolving from transparency into operations to proactive maintenance and correction.

Looking beyond command and control of machinery and processes, IoT data itself will become extremely valuable as an agent of change for product development as well as identification of supply gaps and realization of unmet demands. Direct purchase of this report includes time with an expert analyst who will help you link key findings in the report to the business issues you’re addressing. This needs to be used within three months of purchasing the report.

Key Topics Covered:

1 Executive Summary

2 Overview
2.1 The Industrial Internet of Things Market Opportunity
2.1.1 People, Processes, and Technology
2.1.2 IIoT and People
2.1.3 IIoT and Processes
2.1.4 IIoT and Technologies
2.2 Critical Focal Areas for IIoT Execution
2.3 IIoT Application Areas
2.3.1 Process Optimization
2.3.2 Enhance, Integrate and Scale existing Corporate IT Systems
2.3.3 Leverage Potential of Existing Infrastructure
2.4 Forming a Foundation for IIoT
2.4.1 Industrial Internet Consortium
2.4.2 Industry Leading Companies set the Pace
2.4.3 Industry Test Beds for IIoT
2.4.4 Industrial Internet Reference Architecture
2.5 Evaluating the Future Potential of IIoT
2.5.1 Cyber-security is a Critical Concern with IIoT Teleoperation and Tele-robotics IIoT and Fifth Generation (5G) Wireless IIoT and Edge Computing
2.5.2 IIoT is Facilitating a Drive in Industrial Automation
2.5.3 Early IIoT Deployments to Benefit Existing Industries
2.5.4 IIoT will work in Collaboration to achieve Success
2.5.5 IIoT and the Fourth Industry Revolution
2.5.6 IIoT to Facilitate Transition to Smart Factories
2.5.7 Connected Factory: New Roles for Suppliers and Customers
2.5.8 IIoT and Product Transformation to an as a Service Economy
2.5.9 Intelligent Manufacturing: From Smart Factories to Smarter Factories

3 IIoT Technologies
3.1 Hardware Technologies
3.1.1 Hardware Development Platforms
3.1.2 Smart Sensors
3.2 Software Technologies
3.2.1 Connectivity Platforms
3.2.2 Data Storage Platforms
3.2.3 Data Analytics and Visualization Platforms
3.2.4 IoT Protocols
3.3 IIoT and Manufacturing Execution Systems (MES)
3.3.1 Role and Importance with IIoT
3.3.2 MES and Cyber-Physical Systems
3.3.3 MES in the Cloud and other Convergence
3.3.4 Future of IIoT Enabled MES
3.4 Edge Computing
3.4.1 Introduction to Edge Computing
3.4.2 Mobile Edge Computing (Multi-access Edge Computing)
3.4.3 Fog Computing (Non-Cellular Edge Computing)
3.4.4 Edge Computing in Industrial Networks and Systems
3.5 Teleoperation and Tele-robotics
3.5.1 Teleoperation
3.5.2 Tele-robotics
3.5.3 Cloud Robotics
3.6 Digital Twin Technologies and Solutions
3.6.1 Digital Twinning
3.6.2 Digital Twin Solution Drivers
3.6.3 Digital Twin Solution Use Cases
3.7 Network Technologies in IIoT
3.7.1 Wireless Local Area Network
3.7.2 Wireless Personal Area Network
3.7.3 Wireless Wide Area Networks
3.7.4 Wireless Sensor Networks

4 IIoT in Industry Verticals
4.1 Automotive and Transportation
4.2 Cargo and Logistics
4.3 Healthcare
4.4 Manufacturing
4.5 Oil and Gas
4.6 Utilities

5 IIoT Company Analysis
5.1 ABB
5.2 Accenture
5.3 AGT International
5.4 ARM Holdings
5.5 ATOS
5.6 B+B SmartWorx
5.7 Bosch
5.8 C3, Inc.
5.9 Cisco System Inc.
5.10 Digi International
5.11 Echelon Corporation
5.12 Elecsys Corporation
5.13 General Electric
5.14 Hitachi
5.15 IBM
5.16 Oracle
5.17 PTC
5.18 Real Time Innovation
5.19 Rockwell Automation
5.20 SAP
5.21 Sensata Technologies
5.22 Siemens
5.23 Wind River
5.24 Worldsensing
5.25 Wovyn LLC

6 IIoT Global Market Analysis and Forecasts 2020-2025
6.1 IIoT Market by Region 2020-2025
6.2 IIoT Global Market by Products Offered 2020-2025
6.2.1 IIoT Market for Hardware in 2020-2025
6.2.2 IIoT Market for Software in 2020-2025
6.2.3 IIoT Market for Services 2020-2025
6.3 IIoT Global Market by Industry Vertical 2020-2025
6.3.1 IIoT Deployments in Manufacturing Sector 2020-2025
6.3.2 Healthcare Market for IIoT 2020-2025
6.3.3 Automotive Industry Market for IIoT 2020-2025
6.3.4 Retail industry Market for IIoT 2020-2025
6.3.5 Oil and Gas Industry Market for IIoT 2020-2025
6.3.6 Market for IIoT by Cargo and Logistic Sector 2020-2025
6.3.7 IIoT business in Utilities Sector 2020-2025
6.3.8 IIoT business in Hospitality Sector 2020-2025

7 Future of IIoT Technologies, Solutions, and Deployment
7.1 IIoT Deployment and Support
7.1.1 Carrier Supported IIoT Networks
7.1.2 IIoT and Private Wireless Networks
7.2 Evolution of IIoT Economic Value
7.2.1 Internal Company Benefits
7.2.2 Customer Oriented Benefits
7.2.3 IIoT Data Becomes the Product
7.3 IIoT and Technology Convergence
7.4 IIoT Data as a Service
7.4.1 DaaS Market for Business Data (Enterprise and Industrial)
7.5 DaaS Market by Source: Machine and Non-Machine Data
7.6 DaaS Market by Data Collection: IoT and Non-IoT Data

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