Manufacturing, across the globe, is at the brink of a revolution. Advances in technologies are not only making manufacturing effective, but are enabling work to be “smarter”.
The focus of this research on edge analytics is to analyse the industrial manufacturing market from a technology standpoint. The report could be extremely helpful to the current set of market participants, which are looking at understanding what revenue opportunities can be obtained from the market and how to position themselves as thought leaders in this space. This report will also serve as a major point of reference for all other market participants that are unaware of the immense benefits of edge analytics or are on the verge of making a move towards adopting the technology.
What drives the need for edge computing and analytics?
Performance Requirements: Industrial IoT solutions often require rapid data insights. The transmission of large volumes of raw data increases latency; this is sometimes not even feasible due to poor or underpowered network connections. There are some cases where low latency is a requirement.
Opportunities for Data Pre-processing: Many a time, all the data generated by the solution is transmitted to the cloud for processing. Instead of sending raw data, transmission of processed data from the edge to the centre makes more sense.
Distributed Applications: As applications such as smart grids and pipeline monitoring could have high levels of distribution, edge analytics may be more suitable in this space.
This research aims to identify the various drivers and restraints impacting data analytics in the industrial manufacturing market globally. It sheds light on some of the key initiatives by competitors such as ThingWorx, IBM, and Honeywell.
Key questions the study will answer:
• What is the significance of edge computing in manufacturing and why?
• What are the drivers, restraints, and challenges that the industrial manufacturing market is currently facing in terms of IIOT adoption?
• What is the competitive landscape for edge analytics? What are the innovative solutions offered in the market?
• Are there any successful use cases of edge computing in the market?
• What are the growth opportunities for industrial edge analytics?
Table of Contents
1. Executive Summary
Industrial Internet of Things (IIOT)—A Research Perspective
IIoT—Emerging Themes in the Industrial Environment
IIoT—Key Attributes of a Smart Factory
Frost & Sullivan’s Value Proposition in IIOT
Research Scope and Objective
Discovering Edge Analytics for Manufacturing
What is Edge Analytics?
Industrial Analytics Revolution
End User Verticals—Applications in Various Industries
Demystifying Edge Analytics
Analytics over Cloud and Edge—A Comparative Analysis
Edge Analytics Ecosystem—Market Mapping
High Performance Manufacturing—Factors Driving Adoption
Roadblocks to Adoption of Edge Intelligence
Understanding the Business Criticality of Edge Computing
Models for Edge Computing
Stages of Adoption of Edge Technology in Industrial Manufacturing
Descriptive Analytics—Data Mining and Manufacturing Intelligence
Predictive Analytics—Forecasting Trends and Data Patterns
Prescriptive Analytics—Simulation and Optimization
Global Market Outlook and Competitive Analysis
Global R&D Initiatives in Edge Analytics
The Era of Edge Intelligence (2016–2020)
Prominent Market Participants
Vendor Analysis with Industrial Perspective
Edge Analytics—SWOT Analysis
Edge Analytics in Manufacturing—SWOT Analysis
Edge Solutions to Watch
SAS and Cisco Partnership—Edge-to-Enterprise IoT Analytics Platform
Intel and Greenwave Provide Real-time Edge Analytics
Itron Riva—Next-generation IoT Solution by Itron
DELL Edge Gateways
Game Changers in the Industrial Edge Analytics Market
Honeywell Partners with IBM and Niagara for Industrial Application
Cisco and IBM Partner for IoT Edge Innovation
Foghorn Systems Optimizes Power of Edge Technology
Growth Opportunities and Companies to Action
Growth Opportunity 1—Partnerships and Collaborations
Growth Opportunity 2—Data Intelligence
Strategic Imperatives for Success and Growth
The Last Word
The Last Word
The Frost & Sullivan Story
List of Figures & Charts
1. Intelligence at the Edge: Vendor Analysis, Global, 2016
1. Intelligence at the Edge: Market Mapping, Global, 2016
2. Intelligence at the Edge: Factors Driving Adoption, Global, 2016
3. Intelligence at the Edge: Roadblocks to Adoption, Global, 2016
4. Intelligence at the Edge: Benefits of Edge Computing, Global 2016
5. Intelligence at the Edge: Forecast of IoT Devices Connected, Global, 2016–2020
6. Intelligence at the Edge: Strategic Imperatives, Global, 2016