Product Code: PT-3856
Actionable Benefits:
- Identify the investment plans for a wide range of technologies, including private wireless networks, robotics, machine vision tools, and digital twins.
- Understand the extent that discrete manufacturers plan to support their operations with Artificial Intelligence (AI) and AI agents.
- Appreciate the issues that currently prevent manufacturers from scaling digital technologies across their facilities.
Critical Questions Answered:
- What is top of mind for discrete manufacturers with regard to their operating environment?
- What use cases do discrete manufacturers believe AI is best suited to support?
- Do respondents believe they have what it takes to take full advantage of AI?
- What holds discrete manufacturers back from deploying digital technologies at scale?
Research Highlights:
- Insights into the key external, operational, and technical challenges that discrete manufacturers currently face.
- Key differences in perceptions regarding whether AI can be utilized to support individual use cases.
- Respondents’ concerns regarding their use of AI.
- Use cases that AI agents can support.
Who Should Read This?
- Vendors looking to understand the needs, investment plans, and selection criteria of process manufacturers with regard to digital transformation.
- System integrators looking to understand issues concerning the identification and deployment of AI by manufacturers.
- Manufacturing firms wanting to understand how their digitalization plans compare with others and how respondents’ perceptions of emerging technologies compare with theirs.
TABLE OF CONTENTS
Key Findings
Challenges Currently Faced by Discrete Manufacturers
Investment Plans
Using AI
Use of AI Agents
Using Data Analytics
Adoption Barriers
Challenges in Deploying Technology
Evaluating Vendors