Benchmarking AI in PLM: Launching the First Global Study on AI Adoption across Product Development
A Complimentary CIMdata Educational Webinar with Dr. Diego Tamburini, Director, AI Consulting Practice
20 November 2025
11:00 EST | 08:00 PST | 17:00 CET
Register About our Speaker
Are you experiencing any of the following challenges relative to your company's adoption of AI?
- We lack a clear understanding of our position in AI adoption compared to our direct peers, putting us at risk of a competitive disadvantage from being too slow or investing in the wrong areas.
- Justifying AI spend is difficult because we lack objective data on which AI applications provide measurable value and ROI in product development.
- Leadership is uncertain about how to structure and fund our AI initiatives.
- We do not have the right metrics to measure AI's impact, leading to poor decisions, misallocated budgets, and an inability to demonstrate ROI.
- There is a significant gap between what our company needs for high-value AI and what our solution providers can currently deliver.
- We lack clear guidance on how to address responsible AI practices, governance, and compliance.
Despite the dominance of Artificial Intelligence (AI) in every industry conversation, companies are facing a critical gap: there is no neutral, fact-based data to help industrial organizations understand how AI is actually being applied in PLM. This lack of objective benchmarking makes it nearly impossible for leaders to confidently assess their standing, validate investment priorities, or build reliable, forward-looking strategies.
In response, CIMdata is launching this first global study to benchmark AI across the front end of the product lifecycle—from concept through design, simulation, and manufacturing planning. This webinar introduces the methodology and scope for a multi-track research program, the first in a planned series. Industrial companies, software providers, and system integrators will be surveyed to establish the industry’s first authoritative baseline on AI in PLM. It will also share some of the questions we are investigating, explain when the results will be available, and show you exactly how you can participate and gain essential insight from the findings.
By Attending this Webinar, You Will
- Understand The Data Focus: Preview the metrics and key issues the study will investigate, covering adoption patterns, benefits, challenges, and investment priorities.
- Understand the Methodology: Learn how CIMdata’s research approach will cut through AI hype to deliver neutral, fact-based industry benchmarks.
- Understand Why it is Important to Take your Seat at the Table: Learn about your participation options—how to contribute your company’s unique perspective through the survey and how you can obtain the final results.
- Learn about the Deliverables: Understand what will be available, from executive summaries to analytical reports.
- Learn How to Translate Data into Action: Hear how you can apply these insights to inform your organization’s AI strategy and planning decisions.
Who should attend?
Anyone seeking fact-based insights on where AI in product development is today and where it's heading will find the webinar and survey interesting. Specific roles include:
- Engineering and product development leaders who are considering implementing or actually implementing AI initiatives.
- PLM, digital transformation, and innovation executives who are developing AI strategies.
- IT and technology leaders evaluating AI-enabled PLM solutions.
- Software and service providers supporting industrial clients with AI capabilities or considering them.
- Industry analysts and researchers who are tracking AI adoption trends.
During the webinar, you’ll also have the opportunity to ask questions about the topics discussed.