Understand the use cases that respondents believe Generative Artificial Intelligence (Gen AI) can support.
Identify the investment timelines for a wide range of technologies, including private wireless networks, robotics, machine vision tools, and digital twins.
Appreciate the issues that currently prevent manufacturers from scaling digital technologies across their facilities.
Critical Questions Answered
What’s top of mind for manufacturers with regard to their operating environment?
What are respondents’ perceptions of the potential benefits that Gen AI can support?
What holds back manufacturers from deploying digital technologies at scale?
Research Highlights
Insights into the key external, operational, and technical challenges that manufacturers currently face.
Time frame for the adoption of individual digital technologies, including Gen AI.
Respondents’ ability to utilize data analytics.
Use cases that Gen AI can support.
Who Should Read This?
Vendors looking to understand the needs, investment plans, and selection criteria of manufacturers with regard to digital transformation and Gen AI.
System integrators looking to understand issues concerning the identification and deployment of technologies and interest in Gen AI.
Manufacturing firms looking to understand how their digitalization plans compare with others and how respondents’ perceptions of Gen AI compare with theirs.
Table of Contents
Key Findings
Use Cases of Gen AI
Current Deployment Levels
Key Challenges
Operational and Business Challenges
Collecting and Utilizing Data
People-Related Issues Preventing Digital Transformation