IIoT brings together two separate technologies: Enterprise IT for resource planning and decision support systems, and Operations technology that controls machines/equipment, manufacturing and the related processes. Leveraging this will also require equipping the workforce with adequate skills, and this requires preparation. It is expected that IIoT will offer opportunities to the workforce for learning new skills. It will also computerize many of the tasks, particularly those that are of repetitive nature. In order to cash in on the bigger opportunities from IIoT, the workforce in organizations need to possess skills in data science, software development, hardware engineering, testing, etc. Companies, clients and other stakeholders have to collaborate in order to mitigate the risks typical to those connected to networks.
IIoT platforms are still in an emerging phase and companies are trying to establish themselves across many industries. There is a growing need to come up with open architecture and companies are starting to develop and share non-proprietary platforms. The benefits are for all stakeholders. Companies stand to save more by moving from a “fix when fail” approach to predictive maintenance. Suppliers also benefit as a result of reduced warranty fulfillment costs.
This study provides information on digitization and Industrial Internet of Things (IIoT) related trends in Asia-Pacific. It provides an overview of smart factory and the need to have open platforms. This is because one of the key considerations while deploying IIoT systems is the manner in which legacy systems are handled as many legacy devices in industrial settings have a long lifespan and it may not be economically viable to upgrade a large number of devices so as to be able to communicate with the cloud.
The study also provides information on the areas of opportunity for suppliers of automation products and systems. It includes three case studies to illustrate how embracing IIoT has helped end users achieve better performance. While it is still early to accurately estimate the benefits, there are technology challenges that need to be overcome, especially in the areas of connectivity and security.
Key Issues Addressed
- What is IIoT and what are its key components?
- What are the major drivers and the restraints for IIoT adoption across Asia-Pacific?
- What is the current market size and what are the prevailing trends across the region?
- Is IIoT being deployed in a large scale?
- What benefits are available to end users by implementing IIoT solutions, and why is it important?
1. Executive Summary
- Market Engineering Measurements
2. Market Overview
- Product Scope
- Geographical Scope
- End - User Definitions
- Key Questions This Study Will Answer
3. Overview Of IIoT In Manufacturing
4. Factory Automation
- Factory Automation - Competition In A Growing Market
- M2M And IIoT
- Essentials Of M2M Communication In Factory Automation
5. Big Data Analytics
- Big Data-Integrated Solutions Suite
- Deriving Value From Big Data
- Cloud In Manufacturing
6. Predictive Maintenance
- Market Overview - Distribution Channels
7. Drivers And Restraints - Total IIoT Market
- Market Drivers
- Drivers Explained
- Market Restraints
- Restraints Explained
8. Forecasts And Trends - Total IIoT Market
- Market Engineering Measurements
- Forecast Assumptions
- Revenue Forecast
- Revenue Forecast Discussion
9. Case Studies
- Case 1 - Cybersecurity Issues And Solutions: Fireeye
- Case 2 - Automation And Process Control Value Chain, Evolving With IIoT: Marubeni
- Case 3 - Siemens A.G.’S Digital Manufacturing
10. Investment And Collaborations
11. Growth Opportunities And Companies To Action
- Growth Opportunity 1 - Collaboration
- Growth Opportunity 2 - Opportunities For Niche Solution Providers
- Strategic Imperatives
12. Why IIoT?
- Why IIoT - Transition From Centralization To Integration
- Why Embrace IIoT?
- Analyst Perspective On IIoT
- Analyst Perspective On IIoT (Continued)
- Legal Disclaimer
- List Of Exhibits