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AI SaaS Product Classification Criteria: A Definitive Guide
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Ongoing, First published Oct 15
The global AI SaaS market is expected to surge from $115 billion in 2024 to nearly $3 trillion by 2034, fueled by agentic AI, hyper-personalization, and enterprise adoption. But with 30,000+ SaaS companies vying for the same customers, the winners won't be defined by features alone - it's about how effectively you classify, position, and segment your AI SaaS product. 

Proper classification determines investor interest, GTM strategy, scalability, and customer acquisition efficiency. 

So, in this article, I will share:

How to effectively classify AI SaaS products
Why this matters and
How founders can leverage this framework
to dominate specific market segments and build high-growth, investor-ready products. Let's start with...


Why AI SaaS product classification criteria matter in 2025 & beyond

38.4% CAGR through 2034. But this growth comes with cutthroat competition and sky-high expectations from investors, enterprises, and end-users alike. In this environment, how you classify your AI SaaS product can decide whether you thrive or fade away.


 Why 2025 Is Different for AI SaaS

Five years ago, SaaS success depended on features and speed-to-market. But today, intelligence-driven value defines leadership. Customers, investors, and partners now want to know:

What role does your AI play in the value chain?

Does it automate, augment, or innovate?

Is it designed for specific industries or broad horizontal use cases?
If you can't answer these questions clearly, you'll struggle to stand out in an ocean of AI-driven platforms.


Source: https://www.agicent.com/blog/saas-clasification-criteria/
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