Cambashi says AI is reshaping CAE simulation software

Cambashi released a new report on June 24, 2026, saying AI is the biggest disruption in CAE and simulation software in 50 years. The research points to more than 120 AI-for-CAE startups, about $2.3 billion in venture funding, and fast-moving adoption in automotive, aerospace and defense.

Why it matters: - AI is changing how CAE and simulation software is built, sold and used. - Cambashi says the shift is structural, not incremental. - The near-term payoff is higher productivity for scarce simulation engineers. - The longer-term impact could be broader tool-chain convergence across CAE, EDA and PLM.

What happened: - Cambashi published its latest report, “Cambashi’s View: The Impact of AI on CAE and Simulation,” on June 24, 2026. - The Cambridge-based market intelligence and consulting firm tracks more than 120 AI-for-CAE start-ups and SMBs worldwide. - Keith Hanna, a Cambashi Associate, said AI is “the single biggest disruptor to the CAE and EDA industry in 50 years.” - Cambashi made the report available to download.

The details: - More than 120 AI-for-CAE start-ups and SMB companies have been identified globally. - About half of those companies were founded after COVID as the sector shifted into AI-enabled simulation. - The launch of ChatGPT in 2022 accelerated formation to an average of 10 startups a year, double the pre-COVID rate. - Roughly $2.3 billion in venture capital has flowed into these companies. - EMEA accounts for more than 51% of AI-for-CAE startups, with London and Berlin as major hubs. - AMER holds 35% of startups and has the highest venture capital per company. - APAC makes up 14% of startups and is expanding quickly, with Seoul, Tokyo and India emerging as active hubs. - Machine learning and surrogate model approaches are producing the clearest near-term commercial value. - Those tools are being used to augment engineers and speed design-space optimization in built environment flows, molding, engine modeling and turbomachinery. - LLM, agentic AI and generative AI tools have reported at least 10x workflow compression. - Automotive and aerospace and defense are the most active early adopters. - MedTech and AECO are seeing targeted niche solutions emerge. - Cambashi says the Cambashi Observatory covers CAE and simulation market size, share and forecast data updated quarterly. - Cambashi said information on the Observatory is available by contacting info@cambashi.com.

Between the lines: - The startup surge suggests AI is creating a new competitive layer in a market that was previously dominated by established simulation vendors. - The strongest early value appears to be automation and acceleration, not full replacement of engineering expertise. - Regional startup activity also points to where talent, capital and regulatory friction are shaping the market first. - Cambashi expects regulatory compliance to slow or shape adoption in aerospace, automotive and biomedical use cases. - Data sovereignty concerns are likely to push more startup formation in Europe and Asia.

What's next: - Cambashi expects multi-physics simulation at scale to become a major long-term opportunity. - The firm also sees bidirectional digital twins as part of the next wave. - Consolidation across the industry in 2024 to 2026 is expected to accelerate convergence among CAE, EDA and PLM tool chains. - Cambashi sees AI and machine learning adoption in CAE as durable, not temporary. - More startup formation is likely in regions where data rules and sovereignty concerns are pushing buyers toward local solutions.

The bottom line: - AI has moved from experiment to market force in CAE and simulation, and Cambashi believes the biggest changes are still ahead.