Generate ideas for data analytics projects on the factory floor based on use cases in different industries.
Select a deployment model to collect sensitive data and perform analytics.
Create a short list of suppliers to approach directly or partner with in order to deliver the project.
Critical Questions Answered
The pace of adoption of software, underpinned by machine learning and AI, that provides prescriptions and recommendations rather than simply reporting issues.
The outcomes different types of firms looking to achieve from investing in data management and analytics.
The considerations that suppliers, system integrators and manufacturers need to factor in when designing projects.
Research Highlights
Five-year forecast covering the data value chain, from collecting data from devices, data cleaning and analysis, and visualizing it on the factory floor or boardroom.
22 company profiles across the whole spectrum from industry titans to those serving a niche.
How key companies in several different verticals are looking to data analytics to improve their operations.
Who Should Read This?
Vendor marketing teams looking to understand factors shaping the market and manufacturers’ objectives.
System integrators looking to understand spending trends and to identify potential partners.
OEM hardware suppliers to identify firms who could assist with their servitization strategies.
Table of Contents
1. EXECUTIVE SUMMARY: DATA BASED DECISIONS ON THE FACTORY FLOOR
2. RECOMMENDATIONS FOR SUPPLIERS
3. THE IOT DATA ANALYTICS VALUE CHAIN
4. MARKET TRENDS
4.1. Drivers
4.2. Inhibitors
5. MARKET DEVELOPMENTS
5.1. Siemens and LG Electronics Sign an MOU
5.2. Collaboration between Microsoft and Major Manufacturers Continues
5.3. Microsoft Makes 5G Play
5.4. BMW Looking to Blockchain to Improve Its Supply Chain
