Share of spend
2026 Software Budget Allocation Trends: Vertice Q2 SaaS Spend Report
New Q2 2026 data from Vertice highlights an accelerating shift in software budget allocation priorities between Enterprises and Small and Medium Businesses (SMBs). As the SaaS market matures, organizations are shrinking the share of their software budget devoted to traditional defensive software stacks in order to fund AI integration and collaboration infrastructure.
Executive Summary: Key Q2 2026 SaaS Spend Takeaways
- Artificial Intelligence is the #1 SMB software expense: In Q2 2026, SMB AI budget share skyrocketed by 183%, jumping from 4% to 11.3% of total software spend officially surpassing Security (9.2%) and Development (9.7%).
- Enterprises prioritize Collaboration and Productivity: Large enterprise organizations shifted focus heavily toward internal synergy, increasing Collaboration & Productivity budget share by 47%, now accounting for 9.7% of total enterprise software spend.
- The “Security and CRM” funding tax: To fund the increased AI and collaboration spend, both SMBs and Enterprises allocated significantly less budget to their Security (SMB -19%, Enterprise -17%) and CRM tools (SMB -11%, Enterprise: -6%).
SMB software budget allocation analysis
For Small and Medium Businesses (SMBs), the Q2 2026 data reveals that AI has transitioned from an experimental line item into an operational necessity. SMB budget share for Artificial Intelligence almost tripled quarter-over-quarter, surging 183% – from 4.0% in Q1 2026 to 11.3% in Q2 2026.
To fund this huge AI expansion, SMBs aggressively clawed back budgets from legacy foundational categories. SaaS budget share for Security tools fell 19% (from 11.3% to 9.2%), while Marketing dropped 16% (from 7.3% to 6.1%) and CRM declined 11% (7.4% to 6.6%). Aside from AI, the only notable growth categories for SMBs were Design tools, up 77% (from 1.3% to 2.3%) and IT Infrastructure, up 11.3% (from 6.2% to 6.9%). This indicates a strategic trend among SMBs to build leaner, highly automated and AI-first operational stacks.
Enterprise software budget allocation analysis
Enterprise organizations are also reallocating software budgets decisively, just across a wider spread of categories than SMBs.
While enterprise Artificial Intelligence spend share grew significantly – more than tripling and up 206%, from 1.6% to 4.9% – the primary driver of enterprise software realignment in Q2 2026 was Collaboration & Productivity. This category grew by 47%, jumping from an already notable 6.6% to 9.7% of total enterprise software budget.
Conversely, these organizations trimmed budget shares from traditional administrative, HR and growth categories. Enterprise HR software share, for example, fell 13% (from 9.9% to 8.6%), Security dropped 17% (from 10.5% to 8.7%) and CRM declined 6% (from 10% to 9.4%).
This pattern indicates that enterprise IT leaders are consolidating disparate solutions in favor of unified, highly integrated collaboration hubs and data environments.
Data source: These insights are derived from over $75bn of global processed spend managed by Vertice in 2026.
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Enterprises are spreading their budget shifts across more categories, trimming HR, Security and CRM budgets in favor of Collaboration & Productivity. In contrast, SMBs are concentrating almost all reallocated budgets into a single category: AI.
It's worth noting that a shrinking share doesn't necessarily mean a shrinking budget: with software cost inflation running at 14.2%, categories like Security and CRM may still be seeing flat or even higher absolute spend, even as their share of the total software budget declines.
As AI tools account for an increasing portion of software budgets, finance, procurement and IT leaders need visibility into where the rest of their spend is going in order to fund that shift without overspending elsewhere. SaaS spend management software gives teams a consolidated view of contracts, renewals and usage across the entire tech stack, making it easier to identify where budget can be reallocated.
AI software spend is more difficult to forecast because most AI tools use consumption-based pricing, where costs scale with usage rather than fixed subscription fees. While this pricing model is becoming more common across software, it's already the standard for AI.
Vertice's research on monthly budget variance found that spending on consumption-based software can fluctuate by as much as 37.6% month over month, making traditional annual budgeting far less reliable. As AI adoption grows, these unpredictable usage patterns can quickly lead to budget overruns if left unchecked.
Purpose-built AI cost optimization platforms help finance and IT teams monitor AI usage in near real time, identify unusual spending patterns, and control variable AI costs before they exceed quarterly budgets. Broader SaaS spend management platforms complement these tools by providing visibility and control across the rest of the software portfolio.
As AI's share of software budgets shifts rapidly – among SMBs, it increased by 183% in a single quarter – annual budgeting cycles are becoming less effective. Finance and procurement teams should review forecasts and reallocate software budgets more frequently to keep pace with changing priorities and spending patterns.
Budget management tools like Vertice make this process easier by providing a centralized view of software spend, enabling teams to adjust allocations as AI investment grows while maintaining visibility and control across the broader software portfolio.