ICONIQ just published their State of Go-to-Market in 2026, based on a January 2026 survey of GTM executives at 150+ B2B + AI software companies. The data is always good, Iconiq invests at the growth state in a large cross section of the best in B2B + AI.
Here are the 10 findings that matter most for B2B + AI founders and execs:
1. Top-Quartile ARR Growth Is Reaccelerating For The Best. Dramatically So.
The best companies are pulling away from the pack. Top-quartile YoY ARR growth for companies under $50M ARR hit 111% in H2 2025, up from 104% in H1 2023. For companies in the $50M-$100M range, top-quartile growth reached 91% in H2 2025. Even at $100M+, top-quartile growth held at 33%. The market isn’t great for everyone — but for the best companies, it’s getting meaningfully better.
2. Free Trials and POCs Are Converting at 50% — Far Above Any Other Motion
This is the biggest funnel efficiency number in the report. Free trial and proof-of-concept motions are converting at 50% to paid, up 14 percentage points year over year. Compare that to SQL to Closed-Won (28%), Demo to Closed-Won (38%), or New Lead to MQL (28%). If you’re not treating your POC as a disciplined sales motion with dedicated support and clear success criteria, you’re leaving the highest-converting motion in B2B on the table.
3. High-Growth Companies Generate 62% of New Logo Pipeline From Sales, Not Marketing
Among high-growth companies under $100M, sales generates 62% of new logo pipeline. Marketing generates only 19%. For slower-growing peers, those numbers are 47% and 34%, respectively. The data is consistent across revenue bands: the fastest-growing B2B companies are not primarily marketing-led at the new logo stage. They are seller-led, with channel as a secondary lever.
4. Self-Serve Revenue Is Rising Fastest at High-Growth Companies — Projected at 19% of Revenue Mix in 2026
High-growth companies project that 19% of their 2026 revenue will come from self-serve, up from 17% in H2 2025. Non-high-growth companies project only 8%. The pattern emerging at the fastest AI companies is to use self-serve to reach user-level buyers first, build product demand, and then convert that bottom-up signal into a top-down enterprise deal. It’s not PLG as a standalone strategy — it’s PLG as a wedge into upmarket expansion.
5. Sales Cycles Shortened by About 6 Weeks in Past 12 Months
Average sales cycle length dropped from 25 weeks in H1 2025 to 19 weeks in H2 2025. For deals under $10K ACV, cycles average just 6 weeks. For $100K+ ACV deals, the average is 24 weeks. Shorter cycles are good — but they come with a catch covered below.
6. Contracts Are Getting Shorter: 13% of New Logos Are Now Signing Sub-1-Year Deals
In 2023, only 4% of new logo contracts were under 1 year. In 2026, that number is 13%. Meanwhile, 3-year deals dropped from 28% of new contracts in 2023 to 23% in 2026. Buyers are moving faster but committing for shorter periods. They want flexibility because in an AI market where the best solution can change in 6-12 months, multi-year lock-in feels like a risk they’re not being compensated for.
7. Net Dollar Retention Remains Stubbornly Strong at 110-123%
Despite everything, NDR is holding up. Top-quartile NDR for companies under $50M ARR reached 123% in H2 2025. For $100M+ companies, it sits at 109%. This matters because shorter contracts don’t necessarily mean weaker expansion. The companies that are winning are doing it by expanding within the install base, not just by signing longer upfront commitments.
8. Companies With AI Fully Embedded in GTM Have 67% of AEs Hitting Quota vs. 59% Without
When AI is fully embedded in GTM processes, 67% of ramped AEs hit quota. When it’s not, that number drops to 59%. The gap is even larger at the segment level: SMB AEs at high AI adopters hit 106% of quota attainment on average, versus 80% for low adopters. Enterprise AEs: 96% vs. 77%. Strategic AEs: 109% vs. 88%. These aren’t marginal differences.
9. High AI Adopters Run Leaner GTM Teams — 20-30% Fewer FTEs Across Every Revenue Band
At $10M-$25M revenue, high AI adopters average 20 GTM FTEs vs. 35 for low adopters. At $25M-$100M: 45 vs. 65. At $100M-$250M: 125 vs. 165. At $250M-$500M: 275 vs. 350. This is the efficiency story playing out in real numbers. AI is not just improving individual rep performance — it’s allowing GTM organizations to scale revenue with fewer people.
10. Net New Recurring Revenue Tie-Ins to AE Comp Jumped 8 Points Year Over Year
The shift in how AEs are measured is significant. NNRR as a comp metric went from 25% of companies including it in 2025 to 33% in 2026 — an 8-point jump, the largest single-year move of any metric tracked. Net Dollar Retention as an AE comp metric also rose 5 points. Gross New ARR and bookings-based comp are not disappearing, but operators are increasingly rewarding AEs for the quality and durability of revenue, not just the volume of it closed.
5 More Worth Knowing
- Quota attainment hit 62% in 2025, the best rate in three years — up from 58% in 2024 and 59% in 2023 — and the improvement is happening even as contract lengths shorten.
- Cost per lead for Strategic accounts fell 38% in one year, from $1,300 to $800 — the largest single-year efficiency gain of any customer segment.
- Hybrid pricing has held at exactly 48% for two straight years — despite all the noise around consumption-based pricing, the primary model for most B2B companies hasn’t budged.
- 63% of $100K+ ACV deals now include commission clawbacks when consumption doesn’t materialize, typically triggered 3–6 months after close — the comp structure is catching up to the pricing model shift.
- SMB AEs hit quota at the highest rate of any segment at 68%, vs. 59% for mid-market, 64% for enterprise, and 61% for strategic — and AI adoption amplifies this gap more at SMB than anywhere else.
The through-line across all of this: The best B2B + AI companies are growing faster, closing faster, and running leaner teams — all at the same time. The gap between high-growth and average is widening. If you’re not yet in the top quartile, the window to close that gap is not getting easier.
Source: ICONIQ State of Go-to-Market 2026, January 2026 survey of 150+ B2B GTM executives.
