A commissioned study conducted by Forrester Consulting on behalf of Monolith

The State of AI in Engineering  

First-ever study on AI in product development surveys US and European automotive, aerospace and industrial engineering leaders.

forrester report with monolith state of AI in engineering-1

Risk of losing market share 

How much do you agree with the following statement when it comes to the development of products involving complex, non-linear physics?

Market share forrester page

Cost of inefficient testing: 

MILLIONS

What is the cost of each of the following in a typical product development cycle?  

Inefficient Testing (1)

Data inventories are underutilised 

 

underutilized-desktop (2)

Capitalise on AI opportunity

Engineering leaders who implemented AI are more likely to perform better

Capitalise on AI Opportunity-desktop (2)

Firmographics

In February 2023, Monolith commissioned Forrester Consulting to conduct a study of 163 engineering leaders to understand their challenges and priorities during the validation and verification stage of the engineering workflow, and how AI can empower their efforts.

Firmographics forrester page

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BMW
BAE Systems
Mercedes
Honda
Siemens
Honeywell
Kautex-Textron
Michelin
Aptar
Jota