Hannover Messe 2025:工業IoT/工業4.0的最新趨勢

本報告長達111頁，基於2025漢諾威工業博覽會期間，物聯網分析團隊的400多次展位參觀和300多次個人訪談，總結了關鍵主題和34條詳細見解。

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本報告包​​含 10 個關鍵主題的摘要、34 個趨勢的詳細分析以及總共 118 個案例及其詳細解釋。此外，報告中還包含 IoT Analytics 分析師團隊編製的供應商比較。這些洞察是基於超過 400 次展位參觀、超過 300 次個人訪談以及眾多個人演講的參與。

樣品預覽

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報告內容

• 摘要及重點：整體印象、參展商觀點
• 34 項深入洞察：範例/概念驗證重點、訪談重點
• 供應商比較：生成式 AI 解決方案、超大規模企業、DataOps 供應商
• AI 洞察：工業軟體中的生成式 AI、代理式 AI、AI 服務
• 雲端洞察：超大規模企業在生態系中的作用
• 軟體解決方案洞察：設計、模擬、預測性維護中的數位線程和 AI，以及生成式 AI維護、永續發展中的人工智慧、能源管理軟體 (EMS)、DPP 法規
• 資料洞察：DataOps、資料治理、GraphQL、數位孿生、資產管理外殼 (AAS)
• 連線洞察：單對乙太網路 (SPE)、私人 5G、5G 室內定位、LoRaWAN
• 硬體/邊緣洞察：vPLC、基於叢集的編排、邊緣軟體堆疊、視覺語言模型 (VLM)、控制櫃
• 支援技術洞察：機器人創新、認知機器人、驅動技術、機器視覺、量子運算

目錄

第1章 概要

第2章 摘要和主要的焦點

第3章 AI相關洞察

第4章 雲端相關洞察

第5章 軟體解決方案相關洞察

• a) 設計·工程
• b) 營運·製造
• c) 服務·維修
• d) 永續性·能源管理·供應鏈

第6章 資料相關洞察

第7章 連接性相關洞察

第8章 硬體設備/邊緣相關洞察

第9章 支援技術相關洞察

第10章 關於IoT Analytics分析師隊

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.

Sample preview

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