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The Dawn of Digital Services
26-Oct-2016
Global
Market Research
MCAE-01-00-00-00
IA01319-GL-MR_19137
The global industrial cloud market is in the nascent stage of development, yet as companies increasingly become aware of its growing importance, a gap remains in understanding the implications for their businesses. The focus of this research on the industrial cloud market is to present the analysis from a vendor’s standpoint. The study could be extremely helpful to the current set of market participants who seek to understand what their competitors are doing in this space. The research can also serve as a major point of reference for all other market participants who are not aware of the immense benefits the industrial cloud is creating or for those who are on the verge of making a move in the market. The study aims to ascertain the importance and role of cloud in the manufacturing and process industries as well as to analyze the market forces, trends, challenges, and opportunities from 2016 to 2021.
The cloud models considered in this research include software as a service (SaaS), platform as a service (PaaS), and infrastructure as a service (IaaS). Industrial cloud providers include traditional IT vendors who are looking to provide cloud services in the industrial domain as well as the traditional industrial companies who are diversifying to provide cloud services to industrial companies. The race for industrial cloud market dominance between these two sets of participants makes this study a must read.
The research includes a detailed analysis of the industrial cloud products offered by the major participants in the market (i.e., General Electric Co., Siemens AG, Robert Bosch GmbH, IBM, Microsoft, Amazon Web Services, and Hitachi). A comparative study of products is also included to help understand the competitive forces. Factors like the importance of cloud in manufacturing and how are industrial companies adopting the cloud are few other topics included.
Key questions answered in this study:
1. What is the significance of cloud in manufacturing and why?
2. How is the competitive landscape shaping up for industrial cloud?
3. OT or IT: Which technology will win the race to market dominance?
4. How does one measure ROI for industrial cloud?
5. What are the roadblocks for cloud adoption in manufacturing?
6. What is the industry doing to overcome challenges in cloud adoption?
7. What is the way forward for industrial cloud?
Traditional legacy systems in manufactuing are being replaced by smart machines. As more and more machines are getting connected to the internet, enormous volume of data is constantly being generated. This data requires processing at high speed and with high levels of precision. Cloud is a major enabler of IoT and data analytics. As a result, this is seen as a disruptive technology among industrial manufacturers. Manufacturers are turning to software / data driven services apart from their core manufacturing.
Growth opportunities include -
|
1. Industrial convergence between the OT-IT companies 2. Industrial cloud is generating new business models 3. How can one calculate RoI for industrial cloud? |
Key Findings
Industrial Internet of Things—A Research Perspective
Internet of Industrial Things: The 4 Functional Facets
Frost & Sullivan’s Offering
Research Scope and Objective
Cloud Models in Manufacturing
Private vs. Cloud—Choosing the Right Deployment Model
Industrial IoT Ecosystem
Roadmap for Cloud Adoption in Manufacturing
Manufacturing Cloud System in Factory Automation
What Happens When Machines Are Powered by Cloud?
Where Does Cloud Generate Value in IoT?
Top Attributes of Indu
strial Cloud
Future Course of Industrial Cloud
Industry’s Shift in Focus to Data-driven Services
Fading Relevance of ‘One Size Fits All’ in Industrial Cloud
Partnership between IT & OT Firms to Drive Co-optation
Workforce Transformation Due to Technological Shift
Geographic Merits and Demerits of Industrial Cloud
Calculating a Tangible ROI for Industrial Cloud
Security Concerns—No. 1 Barrier to Cloud Adoption
Insularity on Industrial Cloud
Understanding Cloud Complexities and Costs
Skills Gaps from Evolving Manufacturing Technologies
Uninterrupted Network Availability
GE Predix—Gaining First-mover Advantage in Industrial IoT
Siemens MindSphere—Making a Move from Provider of Hardware to Provider of Data Services
Bosch IoT Suite—Transforming from a Core Component Provider to an Industrial IoT Provider
IBM Watson—Adding Cognition to IBM Bluemix
Microsoft Azure IoT—Making a Move Into Manufacturing Cloud
Amazon Web Services—Moving into the Market with its “Things Shadow” Feature
Hitachi Lumada—The Latest Entrant in the Industrial Cloud Space
Vendor Analysis
The Future of Manufacturing Cloud
Legal Disclaimer
Market Engineering Methodology
List of Figures
- 1. Manufacturing in the Cloud: Research Scope and Objective, Global, 2015
- 2. Manufacturing in the Cloud: Vendor Analysis, Global, 2015
- 3. Manufacturing in the Cloud: A Feature-wise Comparative Analysis of Industrial Cloud Models, Global, 2015
List of Charts
- 1. Manufacturing in the Cloud: Cloud Computing Models in Manufacturing, Global, 2015
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| Deliverable Type | Market Research |
|---|---|
| No Index | No |
| Podcast | No |
| Table of Contents | | Executive Summary~ || Key Findings~ || Industrial Internet of Things—A Research Perspective~ || Internet of Industrial Things: The 4 Functional Facets~ || Frost & Sullivan’s Offering~ | Research Scope and Objectives~ || Research Scope and Objective~ || Cloud Models in Manufacturing~ | Cloud Computing Models in Manufacturing~ || Private vs. Cloud—Choosing the Right Deployment Model~ || Industrial IoT Ecosystem~ || Roadmap for Cloud Adoption in Manufacturing~ | Significance of Cloud in Manufacturing~ || Manufacturing Cloud System in Factory Automation~ || What Happens When Machines Are Powered by Cloud?~ || Where Does Cloud Generate Value in IoT?~ || Top Attributes of Indu~ || strial Cloud~ | Manufacturing Cloud rends that Will Shape the Market~ || Future Course of Industrial Cloud~ || Industry’s Shift in Focus to Data-driven Services~ || Fading Relevance of ‘One Size Fits All’ in Industrial Cloud~ || Partnership between IT & OT Firms to Drive Co-optation~ || Workforce Transformation Due to Technological Shift~ || Geographic Merits and Demerits of Industrial Cloud~ || Calculating a Tangible ROI for Industrial Cloud~ | Roadblocks in Manufacturing Cloud Adoption~ || Security Concerns—No. 1 Barrier to Cloud Adoption~ || Insularity on Industrial Cloud~ || Understanding Cloud Complexities and Costs~ || Skills Gaps from Evolving Manufacturing Technologies~ || Uninterrupted Network Availability~ | Market Movers and Shakers~ || GE Predix—Gaining First-mover Advantage in Industrial IoT~ || Siemens MindSphere—Making a Move from Provider of Hardware to Provider of Data Services~ || Bosch IoT Suite—Transforming from a Core Component Provider to an Industrial IoT Provider~ || IBM Watson—Adding Cognition to IBM Bluemix~ || Microsoft Azure IoT—Making a Move Into Manufacturing Cloud~ || Amazon Web Services—Moving into the Market with its “Things Shadow” Feature~ || Hitachi Lumada—The Latest Entrant in the Industrial Cloud Space~ || Vendor Analysis~ | The Last Word~ || The Future of Manufacturing Cloud~ || Legal Disclaimer~ | Appendix~ || Market Engineering Methodology~ |
| List of Charts and Figures | 1. Manufacturing in the Cloud: Research Scope and Objective, Global, 2015~ 2. Manufacturing in the Cloud: Vendor Analysis, Global, 2015~ 3. Manufacturing in the Cloud: A Feature-wise Comparative Analysis of Industrial Cloud Models, Global, 2015~| 1. Manufacturing in the Cloud: Cloud Computing Models in Manufacturing, Global, 2015~ |
| Author | Nandini Natarajan |
| Industries | Industrial Automation |
| WIP Number | MCAE-01-00-00-00 |
| Is Prebook | No |
Manufacturing in the Cloud
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