Representative End User Clients
Representative Automation Clients
Representative Software Clients
Keywords: Industrial AI, ARC Industry Forum, Agentic AI, GenAI, Computer Vi-sion, End User Success Stories, Industrial Data Fabrics
Overview
ARC Advisory Group's Q4 2024 Survey of nearly 600 industrial sector respondents shows the increasing sophistication in Industrial AI deployments. Respondents are moving beyond the initial GenAI buzz and strategically selecting the right data science and AI/ML tools for each specific use case. This nuanced approach, encompassing a broader AI/ML toolkit beyond just GenAI, sets the stage for Agentic AI to truly unleash the FULL Industrial AI Toolbox in 2025.
This shift was palpable at ARC Advisory Group’s Industry Leadership Forum 2025 in Orlando. It was incredibly rewarding to witness our industrial customers sharing concrete progress on their Industrial AI journeys across all four tracks of the Forum. The atmosphere was a stark contrast to the 2024 Forum. Just a year ago, industrial end users were largely observers, eager to learn about GenAI plans from cloud hyperscalers and foundation model pioneers, as well as industrial automation and software vendors.
End Users Showcase Their Industrial AI Success
Fast forward to 2025, and the Forum was dominated by end user success stories. From keynotes to breakout sessions, industrial leaders took center stage, detailing their journeys in building industrial-grade data fabrics to ensure data quality, and scaling Industrial Copilots powered by GenAI interfaces—but crucially, orchestrating a diverse set of AI Agents underneath. These agents utilize fine-tuned LLMs, multi-modal models, traditional machine learning, neural networks, and computer vision to perform specialized tasks across machines, equipment, and industrial processes, ensuring accuracy, low latency, predictability, and explainability.
One particularly impressive session featured Don Morrison, Real-time System Architect at Devon Energy, who explained how their data scientists now access time-series data with a mere two-second latency—a testament to their advancements in assembling their Industrial-grade Data Fabric. Later, in that same session, the audience were captivated by Ibrahim Al-Syed, Director of Digital Transformation for Manufacturing at Celanese, who showcased JO.AI, Celanese's Industrial Copilot. JO.AI stands out as a prime example of GenAI in action, tackling a wide spectrum of Industrial AI use cases with remarkable efficacy.
ARC Advisory Group clients can view the complete report at the ARC Client Portal.
Contact Us if you would like to speak with the author.
Obtain more ARC In-depth Research Market Analysis.