2025 Industrial Intelligent Agents: Current State & Trends — Siemens & Zhidin Report

Key findings from the Siemens & Zhidin 2025 report

Industrial intelligent agents are driving manufacturing from automation to autonomy.

Surveyed: 200+ Chinese manufacturers; 43% are still observing; only 8% have multi-scenario deployments.

Top deployment areas: production (44%), R&D & design (32%), operations & maintenance (25%).

Main goals: improve efficiency (77%), cut costs (62%), and raise product quality (33%).

Selection priorities: stability & reliability (69%) and local deployment for data security (50%).

Challenges, trends and recommended actions

Barriers include high cost (63%), talent shortage (46%), and technology immaturity (40%).

Trend — More autonomous: solutions like Siemens Industrial Copilot enable adaptive, generative industrial AI assistance.

Trend — More systematic: Industrial Foundation Models unify multimodal industrial data (time series, drawings, recipes, 3D).

Trend — More open: platforms such as Siemens Xcelerator foster ecosystem co-creation and scalable deployments.

Actions: pilot focused use cases, prioritize stable local deployments, and co-develop vertical models with vendors.

Keywords: industrial AI, intelligent agents, Industrial Copilot, Industrial Foundation Model, Siemens Xcelerator, manufacturing autonomy.