October Industrial AI & Automation Roundup — Key News, Products & Market Signals

October Industrial AI & Automation Roundup — Accelerating into an AI-driven Autumn

Enterprise highlights

October brought heavyweight events and strategic moves across industrial automation and AI. Major vendors held innovation summits and partner gatherings that emphasized ecosystem collaboration and green digital transformation.

• Siemens hosted the Xcelerator conference focused on ecosystem and digital transformation.
• Schneider Electric launched its sixth-season innovation day emphasizing AI+ industry collaboration.
• ABB signed an agreement to sell its robotics business to SoftBank — a major industry reshuffle.
• Several companies released quarterly results: strong revenue growth from Inovance (HuiChuan), Rise in revenues for Ledasai (Leisai), and operational improvements at Xinshida.
• M&A and listing activity accelerated: Eastcom (Dongtu) proposed an acquisition to build a fuller automation chain; Luoshi Robotics filed for a Hong Kong IPO.

Industry signals & market data

Key macro and sector indicators show durable momentum for automation and industrial AI.

• Industrial robot output surged ~30% year‑to‑date — robotics remain a core growth engine.
• Manufacturing PMI rose to 51.2 in September, signaling continued expansion.
• National industrial added value exceeded ¥40.5 trillion, underscoring a robust industrial base.
• IDC and federation reports note growing interest in industrial large models and digital transformation budgets.

New products shaping AI-driven automation

October product launches focused on AI compute, edge intelligence, and OT resilience.

• Emerson introduced a new PACSystems IPC family for AI workloads and hardened edge computing.
• Rockwell expanded the Logix platform with the ControlLogix 5590 controller for multi-domain control.
• HMS rolled out Anybus Atlas2 Plus for predictive diagnostics and multi-protocol OT monitoring.
• Hikrobot and other vendors released new mobile robot hardware targeting logistics and material handling.

Keywords: industrial AI, automation, industrial robots, AI-driven automation, industrial PC, predictive maintenance, industrial internet, green factory.

Why this matters: companies are combining AI models, edge compute, and robust OT networking to enable autonomous operation and higher OEE. Market signals and product roadmaps point to faster adoption of industrial AI in 2026.

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