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Free Research

Supply Chain Survey 2025: Impacts on Discrete Manufacturers

Price: Starting at USD 1,950
Publish Date: 02 Sep 2025
Code: PT-3856
Research Type: Presentation
Pages: 12
Actionable Benefits

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.
Research Highlights

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.
Critical Questions Answered

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?     
Who Should Read This?

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