Overview:
This report evaluates IIoT technologies, companies, applications, services, and solutions. The report includes IIoT market sizing with forecasts covering the global and regional IIoT outlook as well as IIoT by industry vertical, software, hardware, and services for the period 2023 to 2028. The report also evaluates technologies supporting the IIoT market including 5G, AI, and advanced data analytics.
Select Report Findings:
- Total global IIoT market will reach $997B by 2028, driven by manufacturing and healthcare
- IIoT in manufacturing alone will reach $191.3 billion globally by 2028, growing at 21.4% CAGR
- IIoT DaaS market for enterprise and industrial segments will reach $12.4 billion globally by 2028
- IIoT data storage will reach $113.7 billion globally by 2028, led by manufacturing and healthcare verticals
- Private wireless implementations to be a major driver for IIoT adoption within all major production-oriented industries
- North America will be the leading region followed by Europe, led by Germany, and Asia Pac, led by Japan and South Korea
- Combining AI with digital twins, cloud robotics, and teleoperation to drive substantial market opportunities for systems integration
The world is now experiencing its fourth stage of industrial evolution, which involves a marriage of physical and cyber systems for even greater productivity as well as new business models that were heretofore incomprehensible. This 4th stage (also known as Industry 4.0) builds upon the evolution from the previous three stages.
The fourth stage, also referred to as Industry 4.0, depends upon the maturation of a few important technologies including adaptive manufacturing, AI, big data analytics, IoT, and advances in robotics. Industry 4.0 solutions will benefit many industries including traditional manufacturing as well as any other industry verticals which rely upon efficient and effective business automation.
However, the USA has been in an industrial depression since the year 2000, due largely to offshoring significant portions of the industrial base to China. The industrial sector represents a smaller share of the economy than most other developed nations. Other countries in a similar status are France and the UK. Accordingly, there is an ever-pressing need within developed countries for improvements in productive efficiency and effectiveness.
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.
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. Also, IIoT solutions are evolving from transparency into operations to proactive maintenance and correction.
One clear area of improvement for industrial businesses will be teleoperation and telerobotics as various industries will leverage the ability to control real machines/equipment by virtual objects through master controlling interfaces. We see teleoperations 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.
Companies in Report:
- ABB
- Accenture
- AGT International
- ARM Holdings
- ATOS
- B+B SmartWorx
- Bosch
- C3, Inc.
- Cisco System Inc.
- Digi International
- Echelon Corporation
- Elecsys Corporation
- General Electric
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- Hitachi
- IBM
- Oracle
- PTC
- Real Time Innovation
- Rockwell Automation
- SAP
- Sensata Technologies
- Siemens
- Wind River
- Worldsensing
- Wovyn LLC
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Table of Contents
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 Focus 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
- 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 Integrate with Other Technologies 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
- 2.5.10. Teleoperation and Tele-robotics
- 2.5.11. IIoT and Fifth Generation Wireless
- 2.5.12. IIoT and Edge Computing
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
- 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 Telerobotics
- 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. Smart Cities
- 4.7. Utilities
5. IIoT Case Studies
- 5.1. IoT Enabled Digital Transformation in Automotive
- 5.2. Industry 4.0 Platform Helps Advance Smart Manufacturing Operations
- 5.3. Smarter Systems for Increased Productivity
- 5.4. Connectivity and Intelligence Cleaning Automation
- 5.5. IIoT for Pipeline Monitoring
- 5.6. Smart Factories and Industrial Automation
6. IIoT Market Dynamics
- 6.1. IIoT Market Drivers
- 6.2. IIoT Market Challenges
7. IIoT Company Analysis
- 7.1. ABB
- 7.1.1. Company Profile
- 7.1.2. Recent Developments
- 7.2. Accenture
- 7.2.1. Company Profile
- 7.2.2. Recent Developments
- 7.3. AGT International
- 7.3.1. Company Profile
- 7.3.2. Recent Developments
- 7.4. ARM Holdings
- 7.4.1. Company Profile
- 7.4.2. Recent Developments
- 7.5. ATOS
- 7.5.1. Company Profile
- 7.5.2. Recent Developments
- 7.6. B+B SmartWorx
- 7.6.1. Company Profile
- 7.6.2. Recent Developments
- 7.7. Bosch
- 7.7.1. Company Profile
- 7.7.2. Recent Developments
- 7.8. C3, Inc.
- 7.8.1. Company Profile
- 7.8.2. Recent Developments
- 7.9. Cisco System Inc.
- 7.9.1. Company Profile
- 7.9.2. Recent Developments
- 7.10. Digi International
- 7.10.1. Company Profile
- 7.10.2. Recent Developments
- 7.11. Echelon Corporation
- 7.11.1. Company Profile
- 7.11.2. Recent Developments
- 7.12. Elecsys Corporation
- 7.13. General Electric
- 7.13.1. Company Profile
- 7.13.2. Recent Developments
- 7.14. Hitachi
- 7.14.1. Company Profile
- 7.14.2. Recent Developments
- 7.15. IBM
- 7.15.1. Company Profile
- 7.15.2. Recent Developments
- 7.16. Oracle
- 7.17. PTC
- 7.17.1. Company Profile
- 7.17.2. Recent Developments
- 7.18. Real-Time Innovation
- 7.18.1. Company Profile
- 7.18.2. Recent Developments
- 7.19. Rockwell Automation
- 7.19.1. Company Profile
- 7.19.2. Recent Developments
- 7.20. SAP
- 7.20.1. Company Profile
- 7.20.2. Recent Developments
- 7.21. Sensata Technologies
- 7.22. Siemens
- 7.22.1. Company Profile
- 7.22.2. Recent Developments
- 7.23. Wind River
- 7.23.1. Company Profile
- 7.23.2. Recent Developments
- 7.24. Worldsensing
- 7.25. Wovyn LLC.
8. IIoT Global Market Analysis and Forecasts 2023-2028
- 8.1. IIoT Market by Region 2023-2028
- 8.2. IIoT Global Market by Products Offered 2023-2028
- 8.2.1. IIoT Market for Hardware in 2023-2028
- 8.2.2. IIoT Market for Software in 2023-2028
- 8.2.3. IIoT Market for Services 2023-2028
- 8.3. IIoT Global Market by Industry Vertical 2023-2028
- 8.3.1. IIoT Deployments in Manufacturing Sector 2023-2028
- 8.3.2. Healthcare Market for IIoT 2023-2028
- 8.3.3. Automotive Industry Market for IIoT 2023-2028
- 8.3.4. Retail industry Market for IIoT 2023-2028
- 8.3.5. Oil and Gas Industry Market for IIoT 2023-2028
- 8.3.6. Market for IIoT by Cargo and Logistic Sector 2023-2028
- 8.3.7. IIoT in Utilities Sector 2023-2028
- 8.3.8. IIoT in Hospitality Sector 2023-2028
9. Future of IIoT Technologies, Solutions, and Deployment
- 9.1. IIoT Deployment and Support
- 9.1.1. Carrier Supported IIoT Networks
- 9.1.2. IIoT and Private Wireless Networks
- 9.2. Evolution of IIoT Economic Value
- 9.2.1. Internal Company Benefits
- 9.2.2. Customer Oriented Benefits
- 9.2.3. IIoT Data Becomes the Product
- 9.3. IIoT and Technology Convergence
- 9.4. IIoT Data as a Service
- 9.4.1. Data as a Service General Market
- 9.4.2. DaaS Market for Business Data (Enterprise and Industrial)
- 9.5. DaaS Market by Source: Machine and Non-Machine Data
- 9.6. DaaS Market by Data Collection: IoT and Non-IoT Data
10. Appendix: Additional IIoT Vendor Analysis
- 10.1. European IIoT
- 10.2. North American IIoT
- 10.3. Asia IIoT