工业人工智慧：应用与案例

本报告分析了工业人工智慧市场，并按行业和地区总结了其应用和案例。

实际优势：

• 辨识工业人工智慧在製造软体、硬体和工业自动化领域的关键应用案例。
• 了解工业人工智慧在各个产业、地区和应用案例中的关键转折点。
• 了解从感知人工智慧到生成式人工智慧、智慧体人工智慧和物理人工智慧的演变过程。

解答关键问题：

• 工业人工智慧的关键应用案例有哪些？
• 不同产业、地区和人工智慧类型对工业人工智慧应用案例的评估有何差异？
• 工业人工智慧在各个应用案例中的应用时间表是什么？

调查亮点：

• 基于广泛的研究访谈、与行业利益相关者的对话以及初步调查问卷，列出了工业人工智慧应用案例
• 工业人工智慧技术采纳现况：依应用案例、细分市场、产业和地区划分
• 14类生成式人工智慧应用案例评估
• 工业智能体自动化演进框架

目录

主要发现

工业智能体自动化演进

按细分市场划分的工业人工智慧收入

按人工智慧类型划分的工业人工智慧收入

技术采纳

生成式人工智慧应用案例评估

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