Investing in the Currency of the Future: Big Data for the Manufacturing Domain

Transition Towards Data-driven Real-time Visibility and Decision Making Compels Manufacturers to Adopt Big Data Solutions

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As part of the Internet of Industrial Things (IOIT) research portfolio offering from the Industrial Automation and Process Control practice, this strategic research service provides a detailed assessment of the key opportunities for Big Data and Analytics in the manufacturing domain from an application, technology, and market standpoint. While the deliverable encompasses a combination of both qualitative trends and quantitative data points, some of the key focal areas here include new storage requirements for high volume multiple data types , the role of analytics in manufacturing, emerging applications within the facility , new markets for sustainable growth, and innovative company initiatives that are gaining wide-scale acceptance.

Table of Contents

1. Executive Summary
Key Findings
Technological Drivers
Market Drivers
2. Internet of Industrial Things—A Research Perspective
Internet of Industrial Things—The 4 Functional Facets
Frost & Sullivan’s Offering
Investing in the Currency of the Future: Big Data for the Manufacturing Domain
Research Scope and Objective
3. Examining the Functional Components of a Big Data Solution and Unearthing its Potential for Manufacturing
Business Case for the Implementation of a Big Data Solution
Snapshot of Manufacturing vs. Other Sectors
Building Blocks of a Big Data Solution for Manufacturing
Data Storage and Integration—Analyzing the Foundation Layers
On-Premise vs. Cloud Based—Choosing the Right Deployment Model
Cloud-based Models—Acute Focus on Data Sensitivity
Hadoop and NoSQL Databases—Extension to Existing Infrastructure
Manufacturing Analytics—A Gold Mine of Opportunities
Risk Reward Matrices—Production Line and Plant Level
Evolution of Data Analytics for Maintenance-related Activities
Analytics for the Extended Value Chain—Supply Chain Optimization
Data Visualization—Customized Dashboards for Individual Personnel
Data Driven Workforce—Dissolving Barriers Across the Enterprise
4. Seizing Lucrative Big Data Opportunities to Gain a First-Mover Advantage—?ATM? Framework
Opportunity Mapping Using the ATM Framework
Maintenance Analytics—Increased Equipment Uptime and Performance
Era of Advanced Machine Learning—A Proactive Approach
Curtailing the 7 Wastes in Manufacturing to Form a Lean Enterprise
Push Towards Energy Optimization
Influx of Unstructured Data to Stir Demand for NoSQL Databases
Majority of Big Data Projects are Expected to be Built on Hadoop
M2M Application Development Platforms
Regional Outlook—Key Dynamics Across Global Hotspots
Vertical Market Analysis—Discrete vs. Process Manufacturing
New Emerging Markets—Manufacturing Pollution Control
Size of the Pie—Summary of Key Market Opportunities
5. Market Direction—Innovative Companies Developing Value-added Products, Solutions, and Services
Company 1—Mtell
Company 2—ThingWorx (a PTC Company)
Company 3—Sisense Inc.
Company 4—MongoDB Inc.
Company 5—Hortonworks Inc.
Legal Disclaimer
6. The Frost & Sullivan Story
Value Proposition: Future of Your Company & Career
Global Perspective
Industry Convergence
360º Research Perspective
Implementation Excellence
Our Blue Ocean Strategy

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List of Figures & Charts

1. Big Data for the Manufacturing Domain: Key Findings, Global, 2014
2. Big Data for the Manufacturing Domain: Research Scope and Objective, Global, 2014
3. Big Data for the Manufacturing Domain: Business Case for the Implementation of a Big Data Solution, Global, 2014–2021
4. Big Data for the Manufacturing Domain: Snapshot of Manufacturing vs. Other Sectors, Global, 2014–2021
5. Big Data for the Manufacturing Domain: Building Blocks of a Big Data Solution for Manufacturing Operations, Global, 2014
6. Big Data for the Manufacturing Domain: Data Storage and Integration—Analyzing the Foundation Layers, Global, 2014
7. Big Data for the Manufacturing Domain: On-premise vs. Cloud Based–Choosing the Right Deployment Model, Global, 2014
8. Big Data for the Manufacturing Domain: Cloud-based Models–Acute Focus on Data Sensitivity, Global, 2014
9. Big Data for the Manufacturing Domain: Hadoop and NoSQL Databases—Extension to Existing Infrastructure , Global, 2014
10. Big Data for the Manufacturing Domain: Manufacturing Analytics–A Gold Mine of Opportunities, Global, 2014–2021
11. Big Data for the Manufacturing Domain: Risk Reward Matrices–Production Line and Plant Level, Global, 2014–2021
12. Big Data for the Manufacturing Domain: Analytics for the Extended Value Chain—Supply Chain Optimization, Global, 2014
13. Big Data for the Manufacturing Domain: Data Visualization—Customized Dashboards for Individual Personnel, Global, 2014
14. Big Data for the Manufacturing Domain: Data Driven Workforce—Dissolving Barriers Across the Enterprise, Global, 2014–2021
15. Big Data for the Manufacturing Domain: Opportunity Mapping using the ?ATM? (Application, Technology, Markets) Framework, Global, 2014–2021
16. Big Data for the Manufacturing Domain: Revenue Forecast, Global, 2014–2021
17. Big Data for the Manufacturing Domain: Comparison between Diagnostic and Prescriptive Analytical Platforms—Market Metrics, Global, 2014–2021
18. Big Data for the Manufacturing Domain: Enabling a Lean Enterprise Using Big Data, Global, 2014
19. Big Data for the Manufacturing Domain: M2M Application Development Platforms (MAP), Global, 2014–2021
20. Big Data for the Manufacturing Domain: Regional Outlook, Global, 2014–2021
21. Big Data for the Manufacturing Domain: Vertical Market Analysis, Global, 2014–2021
22. Big Data for the Manufacturing Domain: ThingWorx, Global, 2014
23. Big Data for the Manufacturing Domain: Sisense Inc. , Global, 2014
24. Big Data for the Manufacturing Domain: MongoDB Inc., Global, 2014
25. Big Data for the Manufacturing Domain: Hortonworks Inc., Global, 2014


1. Big Data for the Manufacturing Domain: Evolution of Data Analytics for Maintenance-related Activities, Global, 2000–2020
2. Big Data for the Manufacturing Domain: Energy Consumption, Global, 2014–2021
3. Big Data for the Manufacturing Domain: Energy Management Platform, Global, 2014–2021
4. Big Data for the Manufacturing Domain: SQLvs. NoSQL, Global, 2014–2021
5. Big Data for the Manufacturing Domain: Hadoop Market Overview, Global, 2014–2021
6. Big Data for the Manufacturing Domain: Waste Disposal and Treatment Costs, Global, 2014
7. Big Data for the Manufacturing Domain: Size of the Pie–Summary of Key Market Opportunities, Global, 2014–2021
8. Big Data for the Manufacturing Domain: Mtell, Global, 2014



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