Most technology leaders suspect they’re overspending on software. Few know by how much.
The answer, according to multiple industry studies, is somewhere between 25% and 35% of total SaaS spend — wasted on licenses nobody uses, tools that duplicate each other, and renewals that auto-execute without review.
Software waste doesn’t come from one place. It accumulates across three distinct categories, each with its own root cause and remediation path.
The most straightforward category. These are seats you’re paying for that either have no assigned user or haven’t been accessed in 90+ days.
Common examples:
Industry data from Gartner and Zylo consistently puts shelfware at 25% of total SaaS spend for mid-market organizations.
This is harder to detect because the tools themselves are being used — just by different teams solving the same problem independently.
We regularly see organizations running three or more project management platforms, two or three diagramming tools, and multiple BI solutions. Each team chose what worked for them. Nobody had visibility into what was already available.
The overlap rate across a typical mid-market software portfolio is 30% or higher when measured by functional capability rather than product name.
Shadow IT isn’t inherently malicious — it’s a symptom of procurement processes that can’t keep up with how teams actually buy software. When a team needs a tool next week and the procurement cycle takes six, they put it on a corporate card and move on.
Productiv and Zylo both estimate that 40% of SaaS applications in a typical enterprise were procured outside formal IT channels.
SaaS waste isn’t a one-time cleanup problem. It’s structural. Three dynamics keep it in place:
You don’t need a six-month audit to get clarity. A focused assessment of your top 50 SaaS vendors by spend — cross-referenced against usage data and contract terms — will surface the majority of recoverable waste.
The key inputs:
With these three data sources, you can build a clear picture of where money is being lost and what’s recoverable within the current contract cycle.
The typical mid-market organization with $5M–$20M in annual SaaS spend has $1.2M–$6M in identifiable waste. Not theoretical savings — actual line items that can be eliminated or renegotiated within existing contract windows.
The organizations that address this systematically don’t just save money. They gain the visibility and governance infrastructure needed to make better technology decisions going forward — including knowing where AI investments will actually pay off.
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