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Hannover Messe 2025- the Latest Industrial IoT/Industry 4.0 Trends

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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.

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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

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