Zylo: AI Fuels 108% SaaS Spend Surge, App Counts Flat

The latest SaaS Management Index report from Zylo, an SaaS expense management platform, reveals a significant transformation in B2B spending, largely driven by the rapid adoption of Artificial Intelligence. Built on extensive real-world data—over $75 billion in SaaS spend and more than 40 million licenses under management—the 2026 report offers a comprehensive look at how AI is reshaping enterprise software economics.

While overall B2B SaaS budgets have climbed by 8%, and per-employee spend now averages $11,530, the number of applications used by organizations remains largely flat. This indicates a shift in where the money is going: not towards acquiring new apps, but rather into AI features, consumption-based pricing, and general vendor price increases within existing software portfolios.

The AI Effect: Surging Costs and Shadow Adoption

Unexpected Charges and Project Cuts

A striking 78% of IT leaders reported being hit with unexpected charges related to AI features or usage-based pricing in the past year. This unpredictability has tangible consequences, with 61% of these leaders forced to cut other projects to accommodate these unforeseen expenses. Budgeting for SaaS has become considerably more complex due to these mid-term contract changes and usage spikes.

ChatGPT Leads the Charge in Expensed Apps

The rise of "shadow AI" is evident, with expense-based SaaS purchasing skyrocketing by 267% year-over-year. ChatGPT has emerged as the most expensed application, with OpenAI API ranking fifth. Overall, eight of the top 50 most expensed applications are now AI-native. This trend highlights that employees are adopting AI tools at a pace that often outstrips corporate governance, shifting the focus from whether to allow AI to how to gain visibility into its widespread use.

AI-Native Spend More Than Doubles

Spending on AI-native applications—tools where AI is central to the product, such as ChatGPT, Claude, or Perplexity—has surged by an impressive 108% year-over-year. Large enterprises (with over 10,000 employees) saw an even more dramatic increase, with AI-native spend growing by 393%. The Artificial Intelligence category recorded the fastest growth across Zylo's entire dataset at 181%, signaling that enterprise AI is no longer an early adoption trend but a significant line item in core budgets.

Shifting Control and Persistent Challenges

Business Units Drive SaaS Decisions

The landscape of SaaS ownership has dramatically shifted. IT's share of SaaS spend has fallen to an all-time low of just 15%, with business units now controlling 81% of spending and more than half of all applications. Individual employees are responsible for introducing approximately one-third of all apps. This decentralization presents a new challenge: how to implement effective governance without stifling innovation or becoming a gatekeeper, ensuring teams have the tools they need while maintaining visibility.

Lingering License Waste

Despite a 13% improvement in utilization rates (from 47% to 54%), organizations still face substantial license waste, averaging $19.8 million per company. Unused licenses remain one of the largest and most recoverable sources of SaaS cost. The report emphasizes that renewals are the critical juncture for addressing this waste, as contracts cannot typically be altered mid-term.

Generative AI: A New Source of Redundancy

For years, Zylo has tracked redundant applications in categories like project management and team collaboration. Now, Generative AI has joined this list, with companies averaging seven redundant GenAI apps. This proliferation stems from teams experimenting with various AI tools without organizational visibility, exacerbated by low switching costs. Renewals offer a prime opportunity to consolidate and standardize these tools.

Multi-Year Contracts for Predictability, Not Savings

Multi-year contracts have seen a 68% increase, now accounting for 38% of all agreements. However, the savings advantage traditionally associated with longer commitments has largely disappeared. While 12-month contracts offer an average of 16% savings, 24-month contracts yield 14%, and 36-month contracts only 13%. This suggests that organizations are opting for multi-year deals not for discounts, but for the predictability they offer in an environment marked by variable AI features and usage-based pricing.

IT's Blind Spot: Lack of AI Visibility

A significant 60% of IT leaders admit to lacking full visibility into all Generative AI tools in use, and 77% have discovered AI-powered features or applications operating without their awareness. This isn't merely a cost issue; it's a critical security concern. 43% of IT leaders identify the exposure of sensitive data as their top AI-related worry, with 93% expressing some level of concern about AI risks. The core problem, the report notes, is not just AI visibility but general SaaS visibility, as AI capabilities are increasingly embedded across various applications.

Renewals: The Untapped Opportunity for Cost Reduction

The average company manages 211 SaaS renewals annually—nearly one every business day. These renewals represent a staggering 87% of total SaaS spend, dwarfing new purchases which account for only 13%. Despite this, only 38% of IT leaders view renewals as a key opportunity to reduce costs. This oversight is where significant money is lost, as renewals are often the only time to rightsize licenses, renegotiate terms, eliminate redundant tools, or discontinue services entirely. Missing this window locks in another year of potential waste.

Implications for Founders

For B2B founders, understanding these trends is crucial. Your buyers are grappling with:

• Unexpected charges from AI features and consumption-based pricing.
• Ongoing pressure to consolidate redundant tools.
• Intense scrutiny during renewals, which are their primary opportunity to reduce spend.
• The challenge of managing shadow AI adoption within their organizations.

The report clearly indicates that while AI budgets are soaring by 108%, the flat app count means that AI-native vendors are gaining significant market share, often at the expense of other SaaS providers. Founders must consider which camp their company falls into in this evolving landscape.