IIoT Driving Manufacturing Innovations

IIoT Driving Manufacturing Innovations

Artificial intelligence, cloud manufacturing, internet security, cyber physical systems, smart sensors drive factories of the future

RELEASE DATE
22-Sep-2017
REGION
Global
Research Code: D7D4-01-00-00-00
SKU: IA01433-GL-TR_20783
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Description

With cyber physical system advancements transforming the manufacturing sector, Industrial Internet of Things (IIoT) is set to create a high impact in the near future. Internet of Things (IoT) has garnered increased interest from various industries such as manufacturing, healthcare, aerospace, utilities, oil and gas, metals and mining, retail, transportation, and agriculture for improving production efficiency and enabling transparency in the supply chain. The whole concept is advancing in terms of functionalities and user-friendly software solutions, enabling multiple applications to serve the rapidly changing demands of end users in multiple industries.
The technology and innovation report captures noteworthy technologies that are transforming factories to a smarter environment through the whole platform of connectivity. Examples of such technologies include: smart sensors, wireless sensor network, cognitive computing, Big Data, artificial intelligence (AI), 3D printing, inspection drones, and cybersecurity. The ability of IIoT to provide real-time data, as well as perform monitoring and tracking functionalities will lead to smart factories of the future that are fully connected, eco-friendly, and drives on improved productivity and efficiency. IIoT establishes a strong connectivity between the operational and digital platforms.
Key questions covered in the report.
•     What is the significance of IIoT?
•     What are trending technologies related to IoT in a manufacturing set-up?
•     What are the funding trends and key focus areas?
•     What are emerging technological innovations and who are the key innovators?
•     What are the factors driving adoption?
•     What are the growth opportunities beyond 2020 for IIoT in the manufacturing industry?

Table of Contents

1.1 Research Scope

1.2 Research Methodology

1.3 Explanation of Research Methodology

1.4 Key Findings

1.4 Key Findings (continued)

2.1 Transformation from Steam Engine to Smart Factories

2.2 Evolution of IIoT

2.3 What is IIoT?

2.4 Need for IIoT

2.5 Commonly Shared Information through IoT Platforms

2.6 Lack of Highly Secure Platforms for Data Protection

2.7 Trending Technologies in IIoT Market

2.8 Digital Twin Gaining High Attraction

2.9 Data monitoring and Security Solutions Gains high funding

3.1 Connected Devices and Industrial Security Disrupting Manufacturing Industry

3.2 Industrial Wireless Sensor Network

3.3 Smart and Connected Sensors Will Witness Increased growth

3.4 Benefits of the Smart Sensor Technology

3.5 WSN Trends and Enabling Technologies in IIoT

3.6 Vital Information through Incorporation of Smart Sensor Technologies

3.7 Sensor Fusion and Energy-efficient Sensors are Other Trends Observed in WSN

3.8 Challenges and Research Focus Areas

3.9 Three Main Applications for Sensor Network Technology, Challenges, and Research Focus

3.10 Key Strategic Initiatives in the Sensors and Connectivity Market

3.11 Automation through Artificial Intelligence

3.12 Benefits of Adopting AI in Manufacturing Sector

3.13 Technology Trends in AI for Manufacturing Industry

3.14 Robots to Enable Complete Automation Throughout the Factory

3.15 Drawback of the AI in Manufacturing Industry and Research Focus Areas

3.16 Applications, Difficulties, and Research Focus Areas

3.17 Complexity within Industrial Sector Will Be Overcome by NLP and RL

3.18 Funding and Collaboration Trends of AI

3.19 Big Data and Cloud in Manufacturing

3.20 Big Data Can Transform the Manufacturing Industry

3.21 Benefits of Big Data

3.22 Big Data Trends and Enabling Technologies in IIoT

3.23 Centralized Repository System Enabling Cloud Manufacturing

3.24 Future Research Focus Includes Ensuring Accuracy and Trust in the Data Storage System

3.25 Funding and Collaboration Trends in Big Data and Cloud Manufacturing

3.26 Cyber Security Systems for Manufacturing

3.27 Features and Importance of Industrial Security

3.28 Security for Manufacturing Industry and Trends

3.29 Encryption and Security Analytics Trending Technologies of Industrial Security

3.30 Patching Challenges during Machine Functioning

3.31 Cloning Modules - Adoption of SHA-256 Protocol

3.32 Large Networks Are Secured through Deep Packet Inspection Solutions

3.33 Funding and Collaboration Trends in Industrial Security

4.1 Microsoft and Sarcos Robotics

4.2 Pivotal and GE Partnership Initiatives

4.3 Connectivity Use Case

4.4 Cisco and Stanley Black & Decker Partnership Initiative

5.1 Future of smart factory

5.2 SWOT Analysis

5.3 Analyst Point of View

5.4 Research Summary: Key Enabling Technologies That Will Drive Manufacturing Innovations

6.1 Key Patents on Collaborative Robots and Artificial intelligence

6.2 Key Patents by General Electric

6.3 Key Patents in the Data Management and Big Data Space for IIoT

6.4 Key Patents for Intelligent Cloud Devices and for Internetworked Sensors

6.5 Key Contacts

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Related Research
With cyber physical system advancements transforming the manufacturing sector, Industrial Internet of Things (IIoT) is set to create a high impact in the near future. Internet of Things (IoT) has garnered increased interest from various industries such as manufacturing, healthcare, aerospace, utilities, oil and gas, metals and mining, retail, transportation, and agriculture for improving production efficiency and enabling transparency in the supply chain. The whole concept is advancing in terms of functionalities and user-friendly software solutions, enabling multiple applications to serve the rapidly changing demands of end users in multiple industries. The technology and innovation report captures noteworthy technologies that are transforming factories to a smarter environment through the whole platform of connectivity. Examples of such technologies include: smart sensors, wireless sensor network, cognitive computing, Big Data, artificial intelligence (AI), 3D printing, inspection drones, and cybersecurity. The ability of IIoT to provide real-time data, as well as perform monitoring and tracking functionalities will lead to smart factories of the future that are fully connected, eco-friendly, and drives on improved productivity and efficiency. IIoT establishes a strong connectivity between the operational and digital platforms. Key questions covered in the report. • What is the significance of IIoT? • What are trending technologies related to IoT in a manufacturing set-up? • What are the funding trends and key focus areas? • What are emerging technological innovations and who are the key innovators? • What are the factors driving adoption? • What are the growth opportunities beyond 2020 for IIoT in the manufacturing industry?
More Information
No Index No
Podcast No
Author Ranjana Lakshmi Venkatesh Kumar
Industries Industrial Automation
WIP Number D7D4-01-00-00-00
Is Prebook No
Ti Codes 9B07-C1,D900,D901,D903,D90A,D90D,D90E,D910,D911,D914,D915,D91C,D920,D925,D941,D943,D944,D947-TI