According to a recent LinkedIn post from Cledara, artificial intelligence tools have expanded from under 9% of SaaS transactions on its platform fourteen months ago to more than one in four purchases today. The post highlights rising demand across developer infrastructure, content and research, and low-code or no-code categories, citing tools such as Cursor, GitHub Copilot, Claude, Perplexity, Lovable, and n8n.
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The post suggests that companies are adopting AI software roughly three times faster than they are cutting budgets for traditional SaaS, which Cledara characterizes as creating a potential “budget crisis” if spending is not managed proactively. For investors, this pattern may indicate both sustained growth in AI-related SaaS and mounting pressure on overall software budgets, a dynamic that could benefit spend-management platforms while forcing broader SaaS vendors to justify pricing and ROI more rigorously.