Enterprise technology buyers are entering 2026 with clearer priorities than in previous AI hype cycles. Research from ETR.ai identifies the areas attracting the strongest spending intent: agentic AI, automation platforms, data quality and governance, real-time analytics, and AI-powered development tools.
For vendors and procurement teams alike, this list is a useful reality check. Buyers are not asking for more demos of generative chat. They are asking for systems that integrate, automate and operate reliably inside existing enterprise stacks.
Agentic AI, but practical
Agentic AI — systems that pursue goals across multiple steps and tools — tops buyer interest. But enterprise interest is conditional. Buyers want agents that connect to their own systems, respect their permissions model and explain what they did. A standalone agent with no integration strategy is a science project, not a product.
The vendors winning in this space are those that ship with connectors, clear observability and human-in-the-loop controls. The ones losing are those that describe autonomy in the abstract and leave the integration to the customer.
Automation with governance
Automation is not new, but AI is expanding what can be automated and where exceptions are handled. Buyers want platforms that combine rules-based automation with AI-driven decision support. Equally important, they want audit trails, version control and the ability to roll back changes.
This is why data quality and governance remain high on the list. An automated workflow is only as trustworthy as the data feeding it. Buyers are prioritising vendors that help them understand lineage, enforce policies and surface anomalies before they propagate.
Real-time analytics and AI-powered development
Real-time analytics investment reflects a shift from retrospective dashboards to operational decision systems. AI that can act on streaming data — routing orders, adjusting prices, flagging fraud — is moving from nice-to-have to essential in competitive sectors.
AI-powered development tools are also maturing. Buyers are looking beyond code completion to tools that help with testing, documentation, security review and legacy modernisation. The value proposition is not “write code faster” but “ship more reliable software with less toil.”
What this means for mid-market buyers
Large enterprise priorities are a useful signal for smaller firms. Even if your budget is a fraction of a FTSE 100 company’s, the same principles apply:
- Prefer vendors with strong integration and governance over vendors with the most impressive demos.
- Ask how agentic features handle errors, escalations and audits.
- Treat data quality as a prerequisite, not a later phase.
- Evaluate tools on whether they reduce toil for your existing team, not whether they replace people outright.
What this means for vendors selling into the mid-market
Mid-market buyers are increasingly sophisticated. They will compare your roadmap against the same analyst frameworks used by larger enterprises, but they have less patience for heavy professional-services engagements. Products that are quick to deploy, easy to govern and visibly reliable will win.
The 2026 buyer landscape rewards substance over spectacle. The question is no longer “can your AI generate a clever response?” It is “can your AI operate safely inside my business?”