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 demonstrated consistent and increasing adoption of AI technologies from 2018 through mid-2025, evolving from early machine learning applications like the 'see and spray' weed detection system to fully autonomous tractors and integrated farm ecosystems.
Since 2016, General Electric (GE) has steadily expanded its adoption of AI across multiple industrial domains including manufacturing, aerospace, healthcare, and energy, showing a trend of increasing AI integration up to 2025.
3M has progressively integrated AI across its manufacturing, healthcare, and sales operations from 2018 through 2025, advancing from predictive analytics to generative AI applications, highlighted by partnerships with AWS, Microsoft Azure, and Telefónica Tech.
Honeywell has progressively integrated AI across its aerospace, industrial, building automation, and life sciences manufacturing sectors from late 2023 through mid-2025, including collaborations with Qualcomm, Google, and Chevron, serving a large internal employee base of 95,000 and targeting over $100 million in AI-driven value.
Caterpillar has steadily increased integration of AI technologies since 2018, evolving from machine learning for logistics and asset intelligence to leveraging generative AI and autonomy by 2024-2025.
Emerson Electric has rapidly advanced its AI integration from 2023 through 2025, launching AI-powered platforms like Ovation 4.0 Automation with generative AI capabilities, driving automation in power and water industries.
Parker-Hannifin has steadily increased its adoption and integration of AI technologies from 2022 through 2025, focusing on AI-driven predictive maintenance, manufacturing process optimization, and enhancing service offerings, highlighted by partnerships with Camgian and implementation of advanced AI-driven inspection systems like Delvitech.
Illinois Tool Works (ITW) has steadily integrated AI technologies since at least 2020, initially leveraging machine learning for debt outcome predictions and advancing to predictive maintenance programs by 2024.
Eaton has shown a strong upward trend in AI-related infrastructure and solution deployment from Q3 2023 through Q3 2025, focusing on power management and data center optimization to support the expanding AI market, especially around generative AI and edge computing.
Rockwell Automation has significantly scaled its AI adoption from initial anomaly detection in 2019 with the FactoryTalk Analytics LogixAI module to broad generative AI integration by 2024, including partnerships with Microsoft and NVIDIA, focusing on enhancing industrial automation productivity and digital transformation.
50 Use Cases in Industrial
| Company | Use Case |
|---|---|
| Illinois Tool Works | Decision Intelligence Illinois Tool Works integrates decentralized AI and federated learning systems to support smarter enterprise-grade decision-making across manufacturing processes and customer engagement. agentic |
| Honeywell | Building Optimization Honeywell launched an AI platform that integrates HVAC, lighting, and security systems using advanced analytics and machine learning to optimize energy consumption, preventive maintenance, and operational performance in buildings. traditional |
| Eaton | Load Spike Detection Eaton introduced edge-based innovation that helps customers detect AI load spikes in real-time, enhancing resiliency of critical data center and grid infrastructure amid surging AI workloads. agentic |
| Caterpillar | Equipment Reliability AI is used by Caterpillar to improve equipment reliability through precision parts fabrication, predictive analytics, and real-time monitoring. traditional |
| Caterpillar | Predictive Maintenance Caterpillar uses AI algorithms to predict equipment failures and schedule maintenance proactively, optimizing uptime and reducing unexpected breakdown costs. traditional |
| Emerson Electric | Data Optimization Emerson leverages AI and industrial data fabrics for enhanced decision-making and operational efficiency in partnership with energy firms like TotalEnergies, focusing on data-driven optimization and emission reductions. traditional |
| Emerson Electric | Operational Insights Emerson uses AI-enabled analytics and generative AI virtual advisors to provide plant operators with real-time actionable intelligence, guiding immediate decisions and optimizing control system operations. generative |
| Rockwell Automation | Workforce Enablement AI technologies help address manufacturing labor shortages and skills gaps by augmenting worker capabilities and automating routine tasks, supporting workforce productivity. traditional |
| Deere & Co. | Labor Optimization AI and robotics solutions help farmers manage labor shortages by automating complex farming tasks and enabling more efficient workforce allocation. agentic |
| Deere & Co. | Weed Detection John Deere utilizes machine learning and computer vision to identify and selectively treat weeds in crop fields, minimizing herbicide use and enhancing precision agriculture. traditional |