Pricing and Packaging Strategies for Generative AI

Pricing and Packaging Strategies for Generative AI


This IDC Market Perspective provides an in-depth analysis of pricing and packaging strategies for generative AI (GenAI) software offerings, including foundation models as a service, automation workflows, and GenAI applications. It emphasizes the importance of understanding customer value, the economics of offerings, and the competitive landscape to devise pricing models that reflect short- and long-term objectives, thereby enabling technology suppliers to effectively navigate the GenAI market with innovative and intelligent pricing strategies."Technology suppliers will be better equipped to navigate the challenging GenAI market when they have a clearer understanding of the pricing landscape and how to set an innovative and intelligent pricing strategy that does justice to the transformative power of their GenAI software solutions," said Ritu Jyoti, GVP/GM, AI and Data Market Research and Advisory Services, IDC.


Executive Snapshot

New Market Developments and Dynamics

How Do You Price Your GenAI Software Offerings?

Foundation Models

Consumption-Based Model

Automation Workflows

GenAI Applications

How Do You Learn and Leverage Emerging Best Practices?

Emerging Best Practices for Packaging Your B2B GenAI Feature

Core

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Add-on

Importance of Predictability in Costs

Pricing Metric

Offer Some Form of Committed Consumption

Carefully Consider Overages

Sales

Offer True Ups

Product Capabilities

Customer Support

Proactive Engagement from Customer Success Managers

Conclusion

Advice for the Technology Supplier

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Related Research

Synopsis

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