Pricing Industrial AI: What Works When Buyers Need Predictable Costs
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Generative and agentic AI are changing the economics of industrial software, introducing variable, compute-heavy costs that sit uneasily with fixed SaaS subscriptions. Industrial buyers are investing in AI, yet they want predictable costs they can budget and defend, and 85% of respondents to the 2026 Verdantix global industrial transformation survey say difficulty measuring ROI is a significant barrier to adoption.
In this webinar, Verdantix analysts explore why pricing approaches emerging across the wider software market often fall short in industrial settings, and examine the trade-offs of embedded, consumption-based and premium-tier AI pricing models. The session will help product, strategy and go-to-market leaders at industrial software vendors shape a pricing strategy that supports adoption while protecting margins.
About the authors

Jatinder Devgun
Senior Analyst
Jatinder is a Senior Analyst at Verdantix, providing insights on emerging technologies and market dynamics for technology buyers and software vendors. His expertise lies in as...
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Reece Hayden
Senior Analyst
Reece is a Senior Analyst at Verdantix, delivering data-driven insights on enterprise AI technologies and market dynamics for software vendors and technology buyers. He focuse...
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Sayanh Alam
Industry Analyst
Sayanh is an Industry Analyst at Verdantix specializing in industrial asset management and operational risk management solutions. She advises software vendors and services fir...
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