Hannover Messe 2025:工业IoT/工业4.0的最新趋势

本报告长达111页，基于2025汉诺威工业博览会期间，物联网分析团队的400多次展位参观和300多次个人访谈，总结了关键主题和34条详细见解。

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本报告包​​含 10 个关键主题的摘要、34 个趋势的详细分析以及总共 118 个案例及其详细解释。此外，报告中还包含 IoT Analytics 分析师团队编製的供应商比较。这些洞察是基于超过 400 次展位参观、超过 300 次个人访谈以及众多个人演讲的参与。

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报告内容

• 摘要及重点：整体印象、参展商观点
• 34 项深入洞察：范例/概念验证重点、访谈重点
• 供应商比较：生成式 AI 解决方案、超大规模企业、DataOps 供应商
• AI 洞察：工业软体中的生成式 AI、代理式 AI、AI 服务
• 云端洞察：超大规模企业在生态系中的作用
• 软体解决方案洞察：设计、模拟、预测性维护中的数位线程和 AI，以及生成式 AI维护、永续发展中的人工智慧、能源管理软体 (EMS)、DPP 法规
• 资料洞察：DataOps、资料治理、GraphQL、数位孪生、资产管理外壳 (AAS)
• 连线洞察：单对乙太网路 (SPE)、私人 5G、5G 室内定位、LoRaWAN
• 硬体/边缘洞察：vPLC、基于丛集的编排、边缘软体堆迭、视觉语言模型 (VLM)、控制柜
• 支援技术洞察：机器人创新、认知机器人、驱动技术、机器视觉、量子运算

目录

第1章 概要

第2章 摘要和主要的焦点

第3章 AI相关洞察

第4章 云端相关洞察

第5章 软体解决方案相关洞察

• a) 设计·工程
• b) 营运·製造
• c) 服务·维修
• d) 永续性·能源管理·供应链

第6章 资料相关洞察

第7章 连接性相关洞察

第8章 硬体设备/边缘相关洞察

第9章 支援技术相关洞察

第10章 关于IoT Analytics分析师队

A 111-page comprehensive summary of the key themes and 34 in-depth insights based on >400 booth visits, >300 individual interviews by the IoT Analytics analyst team at Hannover Fair 2025.

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The "Hannover Messe 2025-the latest Industrial IoT/Industry 4.0 Trends" report contains a comprehensive summary of the 10 main themes, 34 in-depth trends, and a total of 118 individual examples with detailed explanations. The report also contains several vendor comparisons as assembled by the IoT Analytics analyst team at Hannover Fair 2025. These insights are based on >400 booth visits, >300 individual interviews, and attendance of many individual presentations. 20 team members were present for a combined total of 45 days.

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The main purpose of this document is for our readers to keep up with the latest Industrial IoT developments and to stay ahead of the tidal changes in current market trends.

Sample preview

The report includes:

• Summary & key highlights (General impressions, exhibitor sentiment)
• 34 in-depth insights with examples/proof points and interview highlights
• Vendor comparison (GenAI solutions, Hyperscalers, DataOps vendors)
• AI insights (GenAI in industrial software, Agentic AI, AI services)
• Cloud insights (Hyperscaler role in ecosystem)
• Software solutions insights (Digital thread and AI in design, Simulation, Predictive maintenance, GenAI in maintenance, AI in sustainability, Energy management software (EMS), DPP regulation)
• Data insights (DataOps, Data governance, GraphQL, Digital twin, Asset Administration Shells (AAS))
• Connectivity insights (Single-pair Ethernet (SPE), Private 5G, 5G indoor positioning, LoRaWAN)
• Hardware/Edge insights (vPLC, cluster-based orchestration, Software stack for edge, Vision-language models (VLMs), Control cabinets)
• Supporting technologies insights (Robot innovation, Cognitive robots, Drives technology, Machine vision, Quantum compute)

Table of Contents

1. Overview

2. Summary and key highlights

3. AI insights

4. Cloud insights

5. Software solution insights

• a) Design & engineering
• b) Ops & manufacturing
• c) Service & maintenance
• d) Sustainability & energy management & supply chain

6. Data insights

7. Connectivity insights

8. Hardware/edge insights

9. Supporting technology insights

10. About IoT Analytics