適用於離散製造的生成式人工智慧解決方案

本報告提供分離式製造的生成AI解決方案的市場調查，彙整離散製造業的生成AI的用途，終端用戶，使用案例，生成AI供應商的生態系統，成長機會分析等資料。

實用的優點:

• 了解生成式人工智慧的價值以及它將如何在未來十年影響製造業的各個領域
• 根據製造區域和行業查看供應商
• 尋找特定產業和解決方案提供者之間的共通性，並探索最佳合作夥伴關係的可能性

關鍵問題的答案：

• 哪些離散製造業將從採用生成式人工智慧中受益最多？
• 目前生成式人工智慧最豐富的用例是什麼？
• 生成式 AI 解決方案正在解決離散製造業的哪些課題？

研究亮點：

• 預測 2034 年離散製造中生成式 AI 用例的價值
• 依產業（工程、生產、營運）分類的生成式 AI 供應商生態系統
• 按行業分類的用例，以及當前供應商和最終用戶的具體範例

目錄

主要調查結果

主要的預測

主要企業生態系統

航太及防衛

汽車

CE產品

電子產品

重機

工具機

汽車零件

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