AI Agents Poised to Become Martech Buyers
The future of procurement may involve AI agents, not humans, evaluating and purchasing martech solutions on behalf of organizations. This shift necessitates that SaaS products feature machine-readable documentation, robust APIs, and transparent data handling to be properly assessed. As AI features become table stakes, vendors are expected to differentiate on trust, compliance, and data governance.
- Gartner predicts that by 2028, AI agents will handle 90% of B2B purchasing, driving over $15 trillion of spending through AI agent exchanges and shifting focus from traditional SEO to "agent engine optimization". - A significant majority of martech buyers, 84%, already consider APIs important or very important when evaluating new platforms, and for 51%, APIs are a top requirement. However, only 17.3% of core marketing platforms are rated as having excellent API coverage, presenting a competitive opportunity for vendors. - The adoption of AI in procurement is rapidly increasing, with 94% of procurement executives now using generative AI at least weekly, a 44 percentage point increase from 2023 to 2024. Despite this, only 4% of procurement teams had achieved large-scale generative AI deployment in 2024. - As AI takes on more procurement tasks, the human roles are shifting. Gartner forecasts that by 2030, 20% of procurement professionals will be in new AI-driven roles such as AI product manager or agentic AI portfolio manager. - For AI agents to effectively evaluate martech, they require machine-readable data and documentation. This involves structuring content with clear definitions, consistent terminology, and practical examples, moving beyond formats like Markdown which lack deep semantic context for machines. - Data governance is becoming a key marketing differentiator in the age of AI. For AI to function effectively and ethically, it requires high-quality, accessible data, which has led to marketers playing a more significant role in data governance, a function traditionally handled by IT and legal departments. - While 76.6% of marketers report having AI policies in place, 71.6% have not established ROI targets for their AI investments, leading to what some call "governance theater"—the appearance of control without a clear strategy. - The shift to AI-driven procurement will necessitate a focus on a unified data layer that connects various sources like web, product, and CRM data in real-time to feed AI models effectively. Fragmented data stacks create uncertainty for AI systems, reducing the likelihood of a brand's inclusion in AI-driven considerations.
