RELATED SERVICE:
IoT Markets
Actionable Benefits
- Understand Industrial Internet of Things (IIoT) vendors’ strategies and roadmaps for embedded Machine Learning (ML).
- Identify target partners for go-to-market strategies.
- Gain insight into demand-side requirements, with the perspectives of Original Equipment Manufacturers (OEMs) and sensor manufacturers.
Research Highlights
- Forecasts on embedded ML adoption in different CBM markets.
- Case studies of multiple supplier types to demonstrate their activities in using embedded ML.
- Analysis of different ecosystem participants’ priorities and how they want to work with partners to bring embedded ML to customers.
Critical Questions Answered
- How are go-to-market strategies evolving for embedded ML for Condition-Based Monitoring (CBM) applications?
- Which embedded ML suppliers and partners are most advanced in their offering maturity?
- What are the priorities of different suppliers across the IIoT value chain, and how should they interact to bring embedded ML products to customers?
Who Should Read This?
- Strategy and development teams at embedded ML companies looking to understand how they should bring their products to market in the industrial space.
- Product and strategy teams at IIoT software companies looking to understand how to incorporate embedded ML offerings into their marketplaces.
- Application providers and system integrators looking to understand the key discussion topics around embedded ML, and how they fit into the picture.
Companies Mentioned
