- AI-native vendors are capturing the fastest growth and dominating enterprise software budgets
- OpenAI and Anthropic are the biggest beneficiaries of rising AI spending
- Traditional SaaS tools are losing relevance as AI adoption accelerates
Enterprise software spending is undergoing a structural shift as artificial intelligence moves beyond limited trials and into core operating budgets, new research has confirmed.
Over the past year, decision-making has moved away from whether AI tools are worth funding to which vendors should receive increasing allocations, reflecting a broader shift in procurement priorities where AI is no longer treated as an add-on but as the central line item shaping software budgets.
Tropic’s analysis of more than $18 billion in managed spend found that overall software spending is rising sharply, with midmarket and enterprise organizations increasing spending by nearly 58% year-over-year.
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AI shifts from optional consumption to dominant budget line
Within this growth, AI-native categories are expanding much faster than traditional software, indicating a clear redistribution of budgets rather than uniform expansion.
The redistribution of expenses is concentrated among a small group of suppliers, with OpenAI and Anthropic emerging as major beneficiaries.
Anthropic recorded growth of more than 428%, while tools like Cursor saw increases of over 600%, reflecting rapid adoption across engineering teams.
At the same time, OpenAI continues to capture significant spend despite slower contract growth, reflecting a shift where a limited number of vendors are absorbing a growing share of budgets, reinforcing their role in day-to-day workflows and infrastructure.
The numbers indicate that AI tools are no longer experimental purchases as procurement teams receive repeated requests for the same platforms across departments.
As AI consumption increases, traditional SaaS providers are seeing slower growth and in some cases a declining share of overall budgets, as for smaller businesses spending on primarily SaaS tools has already fallen by around 8%, while AI-native and hybrid tools continue to expand.
This divergence suggests that organizations are reducing reliance on legacy systems that lack meaningful AI integration.
At the same time, vendors are introducing higher prices tied to AI capabilities, with increases ranging from 20% to 37%, well above historical norms, putting additional pressure on budgets as companies must justify higher costs while reassessing existing software commitments.
The data shows a shift where artificial intelligence is not just another category within software spending, but the decisive factor shaping allocation decisions.
While overall budgets are rising, the concentration of spending among a few AI vendors and the relative decline in traditional SaaS indicate a transition that could change how enterprise software markets operate.
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