IIoT Driving Manufacturing Innovations

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

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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

1.0 Executive Summary1.1 Research Scope1.2 Research Methodology1.3 Explanation of Research Methodology1.4 Key Findings1.4 Key Findings (continued)2.0 Technology Landscape2.1 Transformation from Steam Engine to Smart Factories2.2 Evolution of IIoT2.3 What is IIoT?2.4 Need for IIoT2.5 Commonly Shared Information through IoT Platforms2.6 Lack of Highly Secure Platforms for Data Protection 2.7 Trending Technologies in IIoT Market2.8 Digital Twin Gaining High Attraction2.9 Data monitoring and Security Solutions Gains high funding3.0 Disruptive IoT Technologies Enabling Manufacturing Innovations3.1 Connected Devices and Industrial Security Disrupting Manufacturing Industry3.2 Industrial Wireless Sensor Network3.3 Smart and Connected Sensors Will Witness Increased growth3.4 Benefits of the Smart Sensor Technology3.5 WSN Trends and Enabling Technologies in IIoT3.6 Vital Information through Incorporation of Smart Sensor Technologies3.7 Sensor Fusion and Energy-efficient Sensors are Other Trends Observed in WSN3.8 Challenges and Research Focus Areas3.9 Three Main Applications for Sensor Network Technology, Challenges, and Research Focus3.10 Key Strategic Initiatives in the Sensors and Connectivity Market3.11 Automation through Artificial Intelligence3.12 Benefits of Adopting AI in Manufacturing Sector3.13 Technology Trends in AI for Manufacturing Industry3.14 Robots to Enable Complete Automation Throughout the Factory3.15 Drawback of the AI in Manufacturing Industry and Research Focus Areas3.16 Applications, Difficulties, and Research Focus Areas3.17 Complexity within Industrial Sector Will Be Overcome by NLP and RL3.18 Funding and Collaboration Trends of AI3.19 Big Data and Cloud in Manufacturing3.20 Big Data Can Transform the Manufacturing Industry3.21 Benefits of Big Data3.22 Big Data Trends and Enabling Technologies in IIoT 3.23 Centralized Repository System Enabling Cloud Manufacturing3.24 Future Research Focus Includes Ensuring Accuracy and Trust in the Data Storage System3.25 Funding and Collaboration Trends in Big Data and Cloud Manufacturing3.26 Cyber Security Systems for Manufacturing3.27 Features and Importance of Industrial Security3.28 Security for Manufacturing Industry and Trends3.29 Encryption and Security Analytics Trending Technologies of Industrial Security3.30 Patching Challenges during Machine Functioning 3.31 Cloning Modules - Adoption of SHA-256 Protocol 3.32 Large Networks Are Secured through Deep Packet Inspection Solutions3.33 Funding and Collaboration Trends in Industrial Security4.0 Implementation Examples4.1 Microsoft and Sarcos Robotics4.2 Pivotal and GE Partnership Initiatives4.3 Connectivity Use Case4.4 Cisco and Stanley Black & Decker Partnership Initiative5.0 Growth Forecast and Future Opportunities5.1 Future of smart factory5.2 SWOT Analysis5.3 Analyst Point of View5.4 Research Summary: Key Enabling Technologies That Will Drive Manufacturing Innovations6.0 Key Patents and Contacts6.1 Key Patents on Collaborative Robots and Artificial intelligence6.2 Key Patents by General Electric6.3 Key Patents in the Data Management and Big Data Space for IIoT 6.4 Key Patents for Intelligent Cloud Devices and for Internetworked Sensors6.5 Key Contacts Legal Disclaimer




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