With ever-expanding choices and unprecedented adoption rates, SaaS AI is probably one of the most volatile business technology markets. Clarity is needed more than ever for businesses to make the right choice.
This is the only regularly-updated report tracking the most popular SaaS AI tools by global adoption, plus breakdowns of key AI market trends and spending patterns.
Anthropic has grown its enterprise customer base by 205% in just six months. It's now the #2 most-adopted AI-native tool in the enterprise - no other comparable vendor has experienced anything close to this level of rapid expansion.
The average AI-native contract runs just 12 months - compared to 19 months for Applied AI contracts and 15 months across the broader SaaS market. Enterprise buyers are clearly hedging: they want access to the best AI tools, but they're not locking in long-term while the market is still moving so fast.
The average AI-native spend per customer grew 59% in six months. Over the same period, average spend per customer on established SaaS with AI features grew just 8.9%.
Harvey AI and Ivo.ai have both entered the Top 25 AI-native rankings - and Legal is the primary adopting department for both. Legal teams, historically slow to adopt new technology, are now one of the more active buyers of AI-Native tools. It's a category worth watching: the deal sizes are small today but the growth trajectory is steep.
The data and analysis in this report is drawn from the largest global dataset of pricing benchmarks and intel - covering:
We’ve placed the most widely-adopted AI tools into two distinct categories:
AI-Native - Standalone products where the user experience is entirely around interacting with AI (e.g. OpenAI and Glean).
Applied AI - Paid-for AI capabilities added to an established SaaS tool (e.g. Salesforce's "Einstein" or Google's "Gemini").
This distinction is important because, while they are both being heavily invested in by global businesses, their adoptions rates are very different. This indicates an initial difference in spending choices, popularity and corporate AI strategies.
AI tool adoption growth by category (YoY)
.jpg)
Key trends
Top end stability: The top four companies are largely unchanged, suggesting a strong foothold in adoption with relatively accepted use cases, while competition and experimentation are concentrated elsewhere.
Turbulent AI-Native market: The extreme volatility in the rest of the AI-Native rankings highlights how frequently new players are entering and making headway quickly.
Dominance of platforms over niche tools: Broad, general-purpose AI tools dominate the rankings, most notably OpenAI, Sana Labs and Glean Technologies. This may reflect companies' appetite for rapid AI transformation across multiple departments, and a preference for custom tools and functionality.
Notable absentees: While many might expect tools such as Perplexity, Otter.ai and Poe to feature in these leaderboards, these are far more popular with consumers than businesses.
A new AI feature isn’t enough to encourage switching: Stability among the Applied AI vendors suggests their AI capabilities are seen as enhancements, not primary purchase drivers. The complexity and cost of switching appears to override the benefit of new AI capabilities.
Average increase in AI spending since Dec'24
.jpg)
Corporate spending on AI is surging - almost 300% growth year-on-year for AI-Native platforms.
But there are differences in the direction of adoption. 12 months ago the split for spending between AI-Native and Applied AI applications was almost equal. Now it's 2.4 : 1 in favour of AI-Native, indicating where the market's preference lies.
"AI-native tools let organisations place smaller, faster bets. Lower entry costs and cleaner contracts make it easier to test real use cases, walk away when value isn't there and prove a business case early, which is a huge strategic advantage in an uncertain market."
And the slower rate of spend in Applied AI is perhaps understandable. Over 60% of enterprise SaaS products now include Applied AI, and 73% of these also charge an "AI premium" for these additions, sometimes increasing subscription costs by up to 100% - which may well be forcing businesses to investigate alternative AI-native point solutions to save costs.
AI spend increase (as a % of total software spend)
%20(1).jpg)
AI tools now account for 3.75% of all software spend - more than double its 1.64% share in just June 2025.
Vertice data shows that IT is the highest-spending industry on AI tools - spending 7.5x the cross-industry average. Financial Services (4.3x) and Healthcare & Life Sciences (1.5x) make up the top three biggest spenders.
Although, there is a clear lag among larger enterprise companies. They adopt tools only half as rapidly as SMBs, and at less than a third of the pace of mid-market companies.
AI tool adoption growth (YoY by company size)
%20(1).jpg)
This is likely due to stricter compliance policies, higher risk management barriers and more complex business cases.
However, this overall surge in spending is threatening to spiral out of control.
Overspend on AI (%)
.png)
Across all industries and SaaS categories, when current SaaS contracts are compared to Vertice data and pricing benchmarks, it shows that 90% of agreed prices are needlessly above benchmarks.
And in the case of AI specifically, AI-Native software buyers are overspending by an average of 22% due to lack of vendor pricing data and a structured negotiation strategy.
To avoid overspending on AI:
Leverage peer benchmarking data to determine what similar companies are paying for the same subscription.
Strategically negotiate contracts, using a combination of vendor benchmarks, usage data, and market insights to secure the best terms.
Protect future spend: Negotiate contract clauses such as removing auto-renewal provisions and including caps on price uplifts, limits on overage charges, performance guarantees, and exit or migration terms.
Discover how to unlock significant value while protecting yourself from risk when buying AI.
When buying AI SaaS is so turbulent, efficient procurement orchestration is business critical. And Vertice, the intelligent procurement platform built for the modern enterprise, is the way forward.
Dynamic intake forces clarity in business cases, countering poor tool selection.
Agentic workflows bring the right stakeholders into the process at the right time, ensuring speed, control and compliance at every step.
And through our benchmarking, AI insights and expert negotiation, you secure the best price.
Customers also have access to more than 50 specialist AI agents, rigorously and specifically trained to perform 70+ procurement tasks, ranging from negotiation tactics, to speeding up procurement cycles, or improving compliance.
See how simple yet powerful procurement can be with Vertice.
Cut AI SaaS waste. Lock in better deals.
We cut SaaS costs by 20% - and we guarantee your savings.
.png)
.jpg)
.webp)