The Numbers
Top-quartile enterprise AEs at well-funded B2B and AI startups are now carrying $2.25M annual quotas, according to ICONIQ's 2026 State of GTM report. Mid-market sits at $1.35M. SMB at $750K.
These are not average market numbers. This is what 150+ fast-growing, well-funded startups with strong product-market fit are running. ICONIQ invests at growth stage in top-tier B2B software, so treat these as high-performer benchmarks, not industry median.
Worth noting: quotas went up, but attainment did not crater. Top B2B and AI companies are hitting 85-90% attainment, above the traditional 65-75% rate.
Why Quotas Went Up Without Breaking Attainment
Pipeline generation improved. Companies using AI in marketing and SDR motions are seeing 10-11 points higher lead-to-MQL conversion and 8 points higher MQL-to-SQL conversion. More qualified pipeline per rep means higher quotas without punishing attainment rates.
AEs own more of the customer. At high performers, 65% of AEs own cross-sell (vs 49% at others), 55% own upsell (vs 44%), and 37% own renewals (vs 24%). Quotas reflect the expanded scope.
Comp followed the work. AE comp tied to net new recurring revenue jumped from 25% to 33% in one year. Comp tied to net dollar retention went from 18% to 23%. If your plan is still 80% new business, 20% expansion, you are out of step with how top companies pay.
What This Means for ANZ
These are global benchmarks from U.S. and European growth-stage companies. ANZ enterprise AE quotas typically run 20-30% below U.S. equivalents when adjusted for market size and comp.
If your enterprise AE quota is sitting at $1.5M, you are either conservative or your pipeline generation has not kept pace. The gap between high performers and everyone else is not strategy anymore. It is quota-setting, pipeline tooling, and comp architecture.
The data is clear: higher quotas are sustainable when pipeline quality improves and comp plans pay reps for the full customer lifecycle, not just the initial close.
Methodology note: ICONIQ surveyed CROs, CEOs, and RevOps leaders at 150+ B2B and AI software companies in early 2026, combining survey data with operating metrics from their growth-stage portfolio. Sample size ranged from 143-149 depending on question.