Embedded ML Trends & Strategies for Condition-Based Monitoring: Ecosystem, Roadmaps, and Adoption

Price: Starting at USD 1,950
Publish Date: 13 Nov 2024
Code: PT-3119
Research Type: Presentation
Pages: 15
Embedded ML Trends & Strategies for Condition-Based Monitoring: Ecosystem, Roadmaps, and Adoption
RELATED SERVICE: IoT Markets
Actionable Benefits

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.
Critical Questions Answered

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?
Research Highlights

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.
Who Should Read This?

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.

Table of Contents

Key Findings

Key Forecasts

Key Companies

Adoption Trends

Cloud Dominates AI/ML for CBM Sensor Use Cases
Shift Towards AI/ML at the Edge – CBM Applications Slower to Move

Embedded ML Value Chain

Supplier Perspective: Application Platforms

Supplier Perspective: Edge Model Development Tools

Supplier Perspective: Networking and Automation Equipment Vendors

Adopter Perspective: Original Equipment Manufacturers (OEMs)

Adopter Perspective: Retrofit Sensors

Adopter Perspective: Operation Managers