Supply Chain Survey 2025 : 프로세스 제조업체에 대한 영향

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 process manufacturers plan to support their operations with Artificial Intelligence (AI) and AI agents.
• Appreciate the issues that currently prevent process manufacturers from scaling digital technologies across their facilities.

Critical Questions Answered:

• What is top of mind for process manufacturers with regard to their operating environment?
• Which use cases do process manufacturers believe AI is best suited to support?
• Do respondents believe they have what it takes to take full advantage of AI?
• What holds back process manufacturers from deploying digital technologies at scale?

Research Highlights:

• Insights into the key external, operational, and technical challenges that process 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 the 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 Process Manufacturers

Investment Plans

Using AI

Use of AI Agents

Using Data Analytics

Adoption Barriers

Challenges Deploying Technology

Evaluating Vendors