The market for enterprise software as a service (SaaS) has been marked by rapid economic shifts, technological advancements, and evolving customer expectations, all influencing the way in which software is consumed and paid. The advent of generative AI features, tools, and capabilities is likely to have an outsized and lasting impact on how SaaS platforms are packaged and priced over the coming months and years, as vendors attempt to gain market share while ensuring that the cost of providing the functionality—which can be costly—is appropriately managed.
Currently, a number of pricing schemes are being utilized to deliver generative AI functionality within enterprise SaaS platforms, including embedding the functionality within the standard license, seat-license pricing, charging for specific generative AI features, and, to a limited extent, consumption-based pricing.
In our latest offering, Market Insight Report: SaaS-Based Generative AI Pricing Trends, we detail the current state of enterprise-focused SaaS platform pricing, discuss how generative AI features are being delivered and priced, and discuss the value of shifting to a consumption-based model.
In this report, you will learn:
- How SaaS platforms are currently pricing their generative AI offerings and features, with specific mentions of vendors deploying these tools
- The specific factors and drivers that are forcing a shift in the way generative AI will be priced in the future
- Methods for applying metrics and value to generative AI
- Why consumption-based pricing is a great fit for both vendors delivering generative AI and customers that are increasingly consuming those services and functionality
- Implications for vendors and customers as generative AI becomes ubiquitous
Successfully monetizing generative AI not only yields financial benefits but also enables organizations to deliver advanced and competitive solutions to their customers. By striking the right balance between price, feature sets, and customization, SaaS vendors can position themselves for long-term success in this rapidly evolving area. If you are interested in learning more, download your copy of our Market Insight Report: SaaS-Based Generative AI Pricing Trends today.
Download Now
Author Information
Keith has over 25 years of experience in research, marketing, and consulting-based fields.
He has authored in-depth reports and market forecast studies covering artificial intelligence, biometrics, data analytics, robotics, high performance computing, and quantum computing, with a specific focus on the use of these technologies within large enterprise organizations and SMBs. He has also established strong working relationships with the international technology vendor community and is a frequent speaker at industry conferences and events.
In his career as a financial and technology journalist he has written for national and trade publications, including BusinessWeek, CNBC.com, Investment Dealers’ Digest, The Red Herring, The Communications of the ACM, and Mobile Computing & Communications, among others.
He is a member of the Association of Independent Information Professionals (AIIP).
Keith holds dual Bachelor of Arts degrees in Magazine Journalism and Sociology from Syracuse University.
