IoT Analytics’ Post

In 2025, most large manufacturers now have CEO-driven AI strategies. Here are 10 insights from our new Industrial AI Market Report: https://lnkd.in/dd_ChqUY 1️⃣ Industrial AI today represents a small share of manufacturing budgets 2️⃣ Most large manufacturers now have formalized CEO-driven AI strategies 3️⃣ Quality & inspection leads industrial AI use cases 4️⃣ Industrial AI delivers tangible ROI 5️⃣ Large-scale Industrial AI requires scalable data architectures 6️⃣ Training and upskilling for AI is of major importance 7️⃣ Copilots becoming standard features in industrial software 8️⃣ Edge AI may be the next big thing in industrial AI 9️⃣ Domain-specific industrial foundation models coming up 🔟 Agentic AI is emerging but not yet practical   📃 Read more about these 10 insights in our latest article: https://lnkd.in/dd_ChqUY   The full 400-page report delves into the current state of the industrial AI market, including detailed market sizing, forecasts, competitor market shares, key trends, use cases, and more.   Authors: Knud Lasse Lueth and Fernando Brügge #industrialAI #edgeAI #I40 #AI #agenticAI #GenAI #manufacturing #copilots #IFM #IoTAnalytics

  • Industrial AI Market 2025 - Market size and outlook, key market players, market insights.

When we first performed market research for Industrial AI in 2018, AI was at the bottom of the priority list for manufacturers (yes, it was in spot 12 of 12 in our surveys!). Fascinating to see how the topic has come up to the top! --> And just when we thought we were ready to release the report a few weeks ago, the first agentic AI strategies for manufacturing started to pop up, so we spent another few weeks to analyze those and include them in our full report. Very dynamic space...

This is such a powerful report - almost 400 pages of awesome research and insights! 😀

At the Mountain IOT Group we see Agentic Workflow, Process Automation & AI-based Predictive Maintenance as having huge potential to reduce the cost of operating and maintaining buildings.

We have been diving into this one - great report. I find the AI Project Database especially useful.

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