工業人工智慧：應用與案例

本報告分析了工業人工智慧市場，並按行業和地區總結了其應用和案例。

實際優勢：

• 辨識工業人工智慧在製造軟體、硬體和工業自動化領域的關鍵應用案例。
• 了解工業人工智慧在各個產業、地區和應用案例中的關鍵轉折點。
• 了解從感知人工智慧到生成式人工智慧、智慧體人工智慧和物理人工智慧的演變過程。

解答關鍵問題：

• 工業人工智慧的關鍵應用案例有哪些？
• 不同產業、地區和人工智慧類型對工業人工智慧應用案例的評估有何差異？
• 工業人工智慧在各個應用案例中的應用時間表是什麼？

調查亮點：

• 基於廣泛的研究訪談、與行業利益相關者的對話以及初步調查問卷，列出了工業人工智慧應用案例
• 工業人工智慧技術採納現況：依應用案例、細分市場、產業和地區劃分
• 14類生成式人工智慧應用案例評估
• 工業智能體自動化演進框架

目錄

主要發現

工業智能體自動化演進

按細分市場劃分的工業人工智慧收入

按人工智慧類型劃分的工業人工智慧收入

技術採納

生成式人工智慧應用案例評估

Actionable Benefits:

• Identify the top use cases for AI in industrial & manufacturing across manufacturing software, hardware, and industrial automation
• Ascertain the key inflection points for industrial AI by industry, region, and use case.
• Understand the transition from perception to generative, agentic, and physical AI.

Critical Questions Answered:

• What are the top use cases for industrial AI?
• How does industrial AI use case sentiment differ by industry, region, and type of AI?
• What is the timeline for the adoption of industrial AI across use cases?

Research Highlights:

• A list of the top use cases for industrial AI based on extensive research interviews, industry conversations, and primary research surveys.
• Industrial AI technology adoption by use case, segment, industry, and region.
• Generative AI (Gen AI) use case sentiment across 14 categories.
• A framework for the industrial agentic automation journey.

Who Should Read This?

• Technology suppliers in strategy, marketing, product management, and sales.
• Manufacturing and technology end users, lean leaders, digital transformation executives, and project managers.
• Hardware Original Equipment Manufacturers (OEMs).
• Manufacturing technology implementers, including systems integrators and value-added resellers.

TABLE OF CONTENTS

Key Findings

The Industrial Agentic Automation Journey

Industrial AI Revenue by Segment

Industrial AI Revenue by Type of AI

Technology Adoption

Generative AI Use Case Sentiment