Understand the key challenges that manufacturers are currently experiencing in 2024 and where improving quality fits in.
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 that can support quality improvement initiatives.
Critical Questions Answered
What’s top of mind for manufacturers with regard to technology investments to improve quality levels?
What are respondents’ perceptions of the potential benefits that Generative Artificial Intelligence (Gen AI) and the industrial metaverse can support?
What holds back manufacturers from deploying digital technologies at scale that can improve quality levels?
Research Highlights
Insights into the key external, operational, and technical challenges that manufacturers currently face.
Time frame for the adoption of individual digital technologies.
Respondents’ concerns with regard to cybersecurity.
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 improving quality levels.
System integrators looking to understand issues concerning the identification and deployment of technologies.
Manufacturing firms looking to understand how their digitalization plans compare with others and how respondents’ perceptions of emerging technologies compare with theirs.
Table of Contents
Key Findings
Operational and Business Challenges
Investments for Improving Quality Levels
Technology Deployments That Improve Quality
Improving Quality with Digital Transformation
Transforming Operations to Improve Quality
Adoption Barriers to Improving Quality with Digital Technologies
What Vendors Need to Appreciate to Help Improve Customers’ Quality Levels