Intent Data Vendor Landscape 2026: Where Delivr.ai Fits

The B2B intent data market has grown to $3.5 billion and now includes more than 36 vendors spanning four distinct resolution tiers. For buyers, the sheer number of options obscures a fundamental question: does this vendor tell me which company is interested, or which person is interested? The answer determines everything downstream — from activation speed to conversion rate.

This report maps the entire vendor landscape across four tiers, scores key capabilities, and explains where Delivr.ai fits as the only vendor delivering person-level, PII-resolved intent at scale.

The Four Resolution Tiers

The intent data market is stratified by resolution depth — how far down the funnel a vendor can identify the buyer. Understanding these tiers is essential for any evaluation.

Why Resolution Tier Matters

The gap between account-level and person-level intent is not incremental — it is structural. Account-level intent tells your sales team to "call Acme Corp." Person-level intent tells them to call Sarah Chen, VP of IT, who has been researching zero-trust architecture for the past 72 hours and whose interest is accelerating.

That specificity eliminates the research phase that consumes 40–60% of SDR time. It transforms outreach from cold to warm. And it gives marketing the signal quality needed to build precision audiences that actually convert.

The Competitive Scoring Landscape

Across 36 vendors evaluated on 12 capability dimensions — signal methodology, resolution depth, topic taxonomy, activation breadth, data ownership, compliance posture, and more — a clear pattern emerges: no single vendor excels at everything, but vendors that resolve to the person level consistently outperform on downstream metrics.

Delivr.ai ranks in the top 5 overall, driven by three capabilities that no other vendor matches simultaneously: 100% deterministic person-level resolution, a 26,000+ topic taxonomy updated daily, and a built-in DSP for same-day activation. The combination of knowing exactly who, what they care about, and the ability to reach them immediately creates a closed loop that account-level vendors cannot replicate.

Signal Methodology Breakdown

Intent vendors collect signals through fundamentally different methods, each with trade-offs:

The V2 Intent Model: Precision Beyond Surge

Most intent vendors deliver a binary signal: this account is "surging" or it isn't. Delivr.ai's V2 Intent Model introduces two dimensions that change how teams operationalize intent:

These two dimensions unlock capabilities no other vendor offers: cold topic activation (detect when someone engages with a topic they have never engaged with before), trend-based audiences (segment by behavioral momentum), precision scoring (clients tune their own thresholds on a 100-point scale), and win-back alerts (notify when a prospect's intent is fading).

Where Delivr.ai Fits

Delivr.ai is the only vendor that combines person-level PII resolution, multi-source signal collection, a precision scoring model, and a built-in DSP in a single platform. This eliminates the vendor stack that most enterprises assemble: one vendor for intent signals, another for identity resolution, a third for activation, and a fourth for analytics.

For teams evaluating the landscape, the question is straightforward: do you need to know which company is interested, or which person is interested? If the answer is "person," the vendor list narrows to one.