제조업에서의 생성 AI 사용 사례

Actionable Benefits:

• Prioritize investments in use cases that yield the best Time to Value (TTV) and Return on Investment (ROI).
• Building a realistic timeline for generative Artificial Intelligence (AI) deployment in manufacturing so software providers can stay ahead of evolution curve.
• Understand which generative AI use cases are most applicable to specific manufacturing verticals, such as aerospace, automotive, pharmaceuticals, and consumer goods.

Critical Questions Answered:

• Which generative AI use cases have been actively deployed, are currently being worked on, or are in the conceptional phase of development?
• When should manufacturers expect generative AI to impact their bottom line?
• What are the early examples and leading companies in the collaboration of manufacturing and generative AI?

Research Highlights:

• Timeline, benefits, and examples of 25 independent generative AI use cases in manufacturing.
• Generative AI added revenue by manufacturing vertical forecast through 2033.
• Comparative TTV versus ROI graphic for prioritizing investment, development, and adoption.

Who Should Read This?

• Generative AI providers that want to learn how generative AI can impact the manufacturing sector.
• Manufacturing software providers that are surveying the partnership landscape between themselves and generative AI providers.
• Manufacturers that want to understand which use cases fit their respective industry and company size.

Table of Contents

• Executive Summary
• Generative AI Added Revenue by Manufacturing Vertical
• List of Use Cases
• Assessment of Generative AI Use Cases in Manufacturing
• Product Design
• Manufacturing Engineering
• Manufacturing Production
• Manufacturing Operations