한글목차

이 보고서는 디스크리트 제조 산업에 대한 조사 분석을 통해 디스크리트 제조업체가 현재 직면하고 있는 주요 외부적, 업무적, 기술적 과제와 AI 활용에 대한 답변자들의 우려에 대한 정보를 제공합니다.

중요한 질문에 대한 답변

• 개별 제조업체들이 경영 환경과 관련하여 가장 중요하게 생각하는 점은 무엇인가?
• 개별 제조업체는 AI가 가장 효과적으로 지원할 수 있는 이용 사례를 어떻게 인식하고 있는가?
• 응답자들은 자사가 AI를 최대한 활용하기 위해 필요한 것을 갖추고 있다고 생각하는가?
• 개별 제조업체의 디지털 기술 대규모 배포를 방해하는 요인은 무엇인가?

목차

주요 조사 결과

디스크리트 제조업체가 현재 직면하고 있는 과제

투자 계획

AI의 활용

AI 에이전트의 활용

데이터 애널리틱스의 활용

채택 장벽

기술 도입의 과제

벤더의 평가

영문목차

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