适用于离散製造的生成式人工智慧解决方案

本报告提供分离式製造的生成AI解决方案的市场调查，彙整离散製造业的生成AI的用途，终端用户，使用案例，生成AI供应商的生态系统，成长机会分析等资料。

实用的优点:

• 了解生成式人工智慧的价值以及它将如何在未来十年影响製造业的各个领域
• 根据製造区域和行业查看供应商
• 寻找特定产业和解决方案提供者之间的共通性，并探索最佳合作伙伴关係的可能性

关键问题的答案：

• 哪些离散製造业将从采用生成式人工智慧中受益最多？
• 目前生成式人工智慧最丰富的用例是什么？
• 生成式 AI 解决方案正在解决离散製造业的哪些课题？

研究亮点：

• 预测 2034 年离散製造中生成式 AI 用例的价值
• 依产业（工程、生产、营运）分类的生成式 AI 供应商生态系统
• 按行业分类的用例，以及当前供应商和最终用户的具体范例

目录

主要调查结果

主要的预测

主要企业生态系统

航太及防卫

汽车

CE产品

电子产品

重机

工具机

汽车零件

Actionable Benefits:

• Understand the value of generative Artificial Intelligence (AI) and how it will impact each discrete manufacturing vertical over the next 10 years.
• Locate suppliers based on manufacturing domain and industry.
• Find commonality between specific industries and solution providers for best partnership potential.

Critical Questions Answered:

• Which discrete manufacturing industry will see the most benefit from generative AI adoption?
• What is the most abundant use case of generative AI currently available?
• What challenges are generative AI solutions solving in discrete manufacturing verticals?

Research Highlights:

• Forecasting the value of generative AI use cases in discrete manufacturing through 2034.
• Ecosystem of generative AI suppliers, delineated by domain (engineering, production, operations).
• Use cases broken down by industry with tangible examples from current vendors and end users.

Who Should Read This?

• Discrete manufacturers who want to understand the current impact of generative AI.
• Generative AI suppliers gauging the market and competing solutions.
• Both suppliers and users to see what partnerships are currently underway, and where there is potential for growth.

TABLE OF CONTENTS

Key Findings

Key Forecasts

Key Companies and Ecosystems

Aerospace and Defense

Automotive

Appliances

Electronics

Heavy Equipment

Machine Tools

Automotive Parts