Artificial Intelligence in Industrial Companies
We analyzed the enterprise AI use cases of 10 industrial companies to understand trends, impact, and insights.
Industrial companies' adoption of AI
Overview
John Deere has progressively integrated AI and machine learning since at least 2018, pioneering technologies like 'See & Spray' for precision weed control and autonomous tractors, evolving towards a fully autonomous farm vision by 2030.
General Electric (GE) has demonstrated a clear and accelerating adoption of AI technologies from 2016 through early 2026, evolving from foundational AI workforce building to expansive deployment across aerospace, healthcare, energy, and manufacturing sectors.
3M has progressively integrated AI and machine learning across various business segments since 2018, evolving from predictive analytics in healthcare and supply chain to advanced AI-powered digital assistant tools by 2026.
Honeywell has progressively scaled its AI adoption from pioneering AI-powered digital assistants for single-pilot operations in late 2023 to deploying generative AI across its 95,000 employees by Q3 2024, signaling rapid internal integration and automation.
Caterpillar has progressively integrated AI technologies since at least 2018, evolving from data management and machine learning applications to advanced AI assistants and autonomous system development by early 2026.
Emerson Electric has steadily expanded and integrated AI into its industrial automation and energy management platforms from Q3 2023 through early 2026, highlighting products like the REVAMP software, Ovation 4.0 Automation Platform, and Guardian Virtual Advisor. The company has partnered with academic institutions such as the University of Texas at Austin and industry players like TotalEnergies and Advantest to enhance AI research and application in semiconductors, power, and water sectors.
Parker Hannifin has progressively integrated AI-driven technologies across its industrial and manufacturing operations from 2022 through early 2026, focusing on partnerships (e.g., Camgian), advanced diagnostics, and predictive maintenance solutions, highlighted by the leadership of Anne Marie (Head of IoT and Smart Connected Products Center).
Illinois Tool Works (ITW) has progressively integrated AI technologies, especially in manufacturing areas like predictive maintenance, leading to incremental efficiency improvements without dramatic revenue growth jumps up to early 2026.
Eaton has experienced a significant growth trajectory driven by its strategic focus on powering AI infrastructure, with market value increases akin to $100 billion since 2019, and continued profit forecasts above estimates into 2025.
Rockwell Automation has progressively integrated AI into its industrial automation and manufacturing operations since 2019, starting with the FactoryTalk Analytics LogixAI module for anomaly detection and expanding to generative AI collaborations with Microsoft and Nvidia by 2024-2025.
54 Use Cases in Industrial
| Company | Use Case |
|---|---|
| Eaton | Modular data centers Eaton supplies power backup, racks, and cable management for modular data center designs that enable faster deployment and enhanced scalability for AI and edge computing infrastructure. traditional |
| Rockwell Automation | Data Analysis Automation AI agents are used to automate complex industrial data analyses, accelerate root cause analysis, and support confident decision-making across operations. agentic |
| General Electric | Agentic Automation GE Aerospace deploys advanced agentic AI solutions with partners like Palantir to autonomously plan and execute actions for maximizing military aircraft readiness, production efficiency, and predictive maintenance, enhancing defense capabilities. agentic |
| Honeywell | Smart Shopping Honeywell’s AI Smart Shopping Platform connects retailer digital product data with in-store workflows using Google Cloud AI to personalize and enhance both shopper and staff experiences. generative |
| Caterpillar | Autonomous Operation Caterpillar develops autonomous control systems and AI-powered assistance, such as the Cat AI Assistant and remote operation platforms, to improve equipment safety and operational efficiency. agentic |
| 3M | Customer Innovation 3M launched the generative AI-powered digital assistant 'Ask 3M' to accelerate product design and innovation by helping customers navigate technical product solutions quickly. generative |
| Caterpillar | Power Generation Caterpillar capitalizes on AI-driven demand for data center infrastructure by expanding production of large engines and turbines, critical for powering AI data centers worldwide. traditional |
| Eaton | Infrastructure scaling Eaton’s innovations around next-generation 800 VDC power architectures and partnerships with NVIDIA accelerate scaling of AI factory and data center infrastructures to meet AI compute demands. traditional |
| Honeywell | Workforce Efficiency AI-driven guided work solutions and frontline workforce performance tools help retail associates perform tasks faster and more accurately, improving operational performance and customer responsiveness. traditional |
| 3M | Data Center Efficiency 3M develops advanced materials and sensor solutions that improve energy efficiency and reliability of data centers supporting growing AI workloads with optimized connectivity. traditional |