Industrial IoT, Data Analytics, and Artificial Intelligence in Connected Manufacturing Market

  • KMI168222
  • Sep 2017
  • 100 pages
  • Telecom and IT
Industrial IoT, Data Analytics, and Artificial Intelligence in Connected Manufacturing 2017 - 2022

The combination of certain key technologies are anticipated to substantially advance the Industry 4.0 revolution towards increasingly smarter manufacturing. Those technologies are Industrial IoT (IIoT), Data Analytics, and Artificial Intelligence. In terms of core functionality for Connected Manufacturing, IIoT provides the basis for communications, control, and automated data capture.

Data Analytics provides the means to process vast amounts of machine-generated and often unstructured data. Accordingly, Big Data technologies and predictive analytics enable streamlining of industrial processes. AI technology provides the means to further automate decision making and to engage machine learning for ongoing efficiency and effectiveness improvements.

This research evaluates the technologies, companies, and solutions involved in next generation manufacturing. The report assesses the impact of IIoT, Data Analytics, and AI on manufacturing efficiency and effectiveness. The report also analyzes how these technologies will lead to optimizing manufacturing for product and service improvements, new revenue streams, and new market opportunities for product lifecycle management and customer relationship management. The report includes forecasts for each technology area as well as the global and regional outlook for manufacturing from 2017 to 2022.

Select Report Findings:

• North America will be the second largest market at $15.9 billion by 2022
• Connected manufacturing Consulting services will be a $4 billion business by 2022
• Europe will be the top revenue region with $19.6 billion by 2022 with Germany leading the region
• Manufacturing data analytics platforms represent the fastest growth product segment by 2022 with a CAGR of 55.4%

Target Audience:

• IoT companies
• Robotics companies
• Manufacturing industry
• Infrastructure providers
• Cloud services companies
• Network service providers
1 Introduction
1.1 Background
1.2 Scope of the Research
1.3 Target Audience
1.4 Company Coverage
2 Executive Summary
2.1 Global Connected Manufacturing Market
2.2 Top Line Growth
2.3 Success Factors
2.3.1 Partnerships for Value Added Services
2.3.2 Monetization Strategies
2.3.3 Establishing Predictable Recurring Income Streams
3 Overview
3.1 Current State of Manufacturing Industry
3.2 Manufacturing Industry’s Digital Transformation
3.3 IIoT a Base for Connected Manufacturing
3.4 Connected Manufacturing Outlook
3.5 Connected Manufacturing Applications
3.5.1 Optimizing Operations
3.5.2 Real-time Tracking of Assets, Equipment, and Raw Materials
3.5.3 Asset Health Monitoring and Predictive Maintenance
3.5.4 Manufacturing Analytics
3.5.5 Worker Safety
3.6 Future Market Potential for Connected Manufacturing
4 Global Market for Connected Manufacturing
4.1 Factors Driving Market Growth through 2022
4.2 End-user Market by Product Type 2017 - 2022
4.2.1 Connected Manufacturing Consulting Services 2017 - 2022
4.2.2 Connectivity System Installation and Expansion 2017 - 2022
4.2.3 Sensors, Embedded Devices, and Wearables in Connected Manufacturing 2017 - 2022
4.3 Regional Forecasts 2017 - 2022
4.4 End-user Market by Application Type 2017 - 2022
4.5 Big Data Analytics in Connected Manufacturing 2017 - 2022
4.5.1 Big Data in Connected Manufacturing Solutions
4.5.2 Market Outlook for Big Data in Connected Manufacturing
4.6 Artificial Intelligence in Connected Manufacturing 2017 - 2022
4.7 Manufacturing Execution Systems
5 Role of Technology in Connected Manufacturing
5.1 Enabling Technologies
5.2 AI and Connected Robotics
5.3 Crucial Role of Connectivity
5.4 Industrial Ethernet vs. Fieldbus
6 Select Companies and Solutions
6.1 Connected Manufacturing Vendor Ecosystem
6.2 Connected Manufacturing Vendor Considerations
6.3 Important Connected Manufacturing Solutions
6.3.1 Bosch
6.3.2 Cisco Inc.
6.3.3 GE
6.3.4 IBM Corp.
6.3.5 SAP
6.3.6 Software AG

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