ICONIQ数据:不同增速SaaS公司的团队扩张策略与效率变化
ICONIQ: The 100%+ Growers Added 133% More Headcount in H1 2026. But The 50%-100% Growers Cut Hiring Almost in Half.
用最新的一手数据拆解了不同增速阶段SaaS公司的人力策略差异,为创业者判断自身处于哪个象限并制定相应的人效目标提供了清晰的参照系。
New ICONIQ data (as of 08/04/2026, covering 2022 through Q2 2026) on median headcount change by revenue growth band. ICONIQ’s own framing was that AI isn’t freezing headcount at hypergrowth companies, and that part is right. The more useful story is in the other three rows of the chart.
ICONIQ 最新数据(截至 2026 年 8 月 4 日,涵盖 2022 年至 2026 年第二季度)显示按收入增长区间划分的员工中位数变化。ICONIQ 自身的观点是,AI 并没有冻结高增长公司的员工规模,这部分是正确的。更有价值的故事在于图表中的其他三行。
N-size: 390 (2022-2023), 200 (2024), 195 (2025), 57 (2026)
样本量 N:390(2022-2023 年),200(2024 年),195(2025 年),57(2026 年)
#1. The 100%+ Growers Are Hiring Harder Now Than They Did in 2022
#1. 增长率超过 100% 的公司现在的招聘力度比 2022 年更大
119% in 2022-2023, then 65% in 2024, then back to 119% in 2025, now 133% in the first half of 2026.
2022-2023 年为 119%,随后 2024 年降至 65%,2025 年回升至 119%,2026 年上半年目前为 133%。
2024 was the discipline year. Even the fastest-growing companies in the dataset cut their headcount growth roughly in half. It did not stick. The companies growing 100%+ today are adding people faster than they were at the top of the 2021-2022 market.
2024 年是纪律整顿之年。即使数据集里增长最快的公司也将员工增长幅度大致减半。但这并未持续。如今增长率超过 100% 的公司,其人员扩充速度比 2021-2022 年市场高峰期还要快。
Who’s in that bucket now is most of the explanation. Growth above 100% in 2026 is overwhelmingly AI-native B2B, usually well-funded, usually in a land grab against three or four direct competitors. When you’re tripling, nobody in the building is running a headcount efficiency exercise. Are the fastest growing AI+B2B startups leaner than a generation ago, overall? Yes, in most cases. But they aren’t staying super lean as they scale. They’re still growing headcount triple digit percentage a year.
现在处于该梯队的是大部分解释所在。2026 年增长率超过 100% 的公司绝大多数是 AI 原生 B2B 企业,通常资金充裕,通常在与三到四个直接竞争对手争夺市场份额。当你实现三倍增长时,公司内部没人会去搞人效优化。总体而言,增长最快的 AI+B2B 初创公司是否比上一代更精简?是的,在大多数情况下是这样。但它们在规模化过程中并不会保持极度精简的状态。它们每年仍以三位数百分比的速度增加员工人数。
#2. The Biggest Change in the Chart Is 46% to 25% in the 50%-100% Band
#2. 图表中最大的变化是 50%-100% 区间从 46% 降至 25%
Companies growing 50%-100% cut their headcount growth from 46% to 25% in a single year. Nothing else in the data moved that much.
增长率在 50%-100% 的公司,其员工增长幅度在一年内从 46% 降至 25%。数据集中没有其他指标发生如此巨大的变动。
The opposite of the fastest growerrs. These are not struggling companies. Growing 60%-80% at scale is a great year. But they aren’t AI rocketships.
这与最快增长者截然相反。这些并非陷入困境的公司。在大规模基础上实现 60%-80% 的增长是非常好的一年。但它们并不是 AI 火箭式增长的公司。
The 25%-50% band did the same thing at smaller scale: 16% down to 10%. A company growing 35% is now adding 10% more people. In 2022-2023 that number was 17%, and five years before that it would have been 25%-30%.
25%-50% 区间也在较小规模上发生了同样的情况:从 16% 降至 10%。一家增长率为 35% 的公司现在只会增加 10% 的人员。在 2022-2023 年,这个数字是 17%,而在五年前的那个时期,它本会是 25%-30%。
If AI leverage is showing up anywhere in this dataset, it’s here. Not in layoffs at companies that missed their number, but in healthy companies quietly planning smaller teams for the same growth.
如果 AI 杠杆效应在这个数据集中有所体现,那就体现在这里。它不是出现在未达目标的裁员公司中,而是出现在那些健康运营的公司悄悄为相同的增长目标规划更小团队的过程中。
#3. Sub-25% Growers Stopped Cutting, and … Then Stopped Hiring
#3. 增长率低于 25% 的公司停止了裁员,然后……也停止了招聘
(6%) in 2022-2023, (5%) in 2024, +4% in 2025, +3% in H1 2026.
(6%) 在 2022-2023 年,(5%) 在 2024 年,+4% 在 2025 年,+3% 在 2026 年上半年。
The layoff cycle in this cohort is over. What came after it wasn’t a rebound. It’s flat. A company growing 20% is now adding 3% more people, which at 200 employees is six hires for the year across every function.
这一批次的裁员周期已经结束。紧随其后的并非反弹,而是持平。一家增长率为 20% 的公司现在只会增加 3% 的人员,对于拥有 200 名员工的该公司来说,这意味着全年各部门总共只招聘六人。
For a lot of B2B companies that crossed $50M-$100M in the 2021 cohort and settled into 15%-25% growth, the flat team is now the plan, not a phase.
对于许多在 2021 年批次中跨越 5000 万至 1 亿美元大关并稳定在 15%-25% 增长率的 B2B 公司来说,团队规模持平现在是既定计划,而非一个过渡阶段。
#4. At 133% Headcount Growth, the Top of the Market Is Getting Less Efficient As It Scales
#4. 在人员增长133%的情况下,市场顶部的扩张效率正在降低
Rough math, using the bucket floor: in 2024, companies growing at least 100% added 65% more headcount. Revenue per employee went up meaningfully. In H1 2026, the same cohort is adding 133% more headcount. Unless the median company in that band is growing revenue faster than 133%, revenue per employee at the very top of the market is flat to down.
粗略计算,以桶底数据为基准:2024年,增长率至少达到100%的公司增加了65%的人员。人均收入显著上升。而在2026年上半年,同一批公司的人员增幅达到了133%。除非该区间内中位数公司的收入增速超过133%,否则市场最顶层公司的人均收入将持平或下降。
That runs against the story most people are telling about AI right now. The fastest-growing AI companies are not doing more with fewer people. They’re hiring engineers, forward-deployed engineers, and solutions people at a rate that outpaces almost everything from the last cycle.
这与当前大多数人讲述的AI故事相悖。增长最快的AI公司并非在用更少的人做更多的事。它们招聘工程师、前置部署工程师和解决方案人员的速度几乎超过了上一周期的所有行业。
One honest caveat: 100%+ is a floor, not a midpoint. Some companies in that bucket are growing 200%-300%, which would put headcount growth back below revenue growth. The chart can’t distinguish. But the direction of travel from 65% to 133% in two years is real.
一个诚实的说明:100%+是下限,而非中位数。该组别中有些公司增长率达到200%-300%,这会使人员增长重新低于收入增长。图表无法区分这一点。但从两年间从65%到133%的变化趋势是真实的。
A Few Things to Note
几点注意事项
A few things to hold loosely:
以下几点需灵活看待:
- N=57 for 2026 versus 195 for 2025. That’s a small sample, and it’s a specific portfolio (ICONIQ’s private venture and growth companies plus a select set of public software companies), not the whole market.
- It’s a half year. The 2026 number covers Q1 and Q2 only.
- ICONIQ’s post says “average,” the chart says “median.” Those are different numbers, and in headcount data with a few extreme outliers, very different.
- The bands are self-selecting over time. The companies in the 100%+ bucket in 2026 are mostly not the companies that were in it in 2022. The chart is tracking growth bands, not the same companies moving through time.
- 2026年的样本量为57家,而2025年为195家。这是一个小样本,且属于特定投资组合(ICONIQ的私募风投及成长期公司,加上精选的一批公开上市的软件公司),并非整个市场。
- 这是半年数据。2026年的数据仅涵盖第一季度和第二季度。
- ICONIQ的文章说的是“平均”,而图表显示的是“中位数”。这是两个不同的数值,在存在几个极端异常值的人员数据中,差异会非常大。
- 这些分组随时间自我选择。2026年处于100%+区间的公司,大多不是2022年时在该区间的公司。图表追踪的是增长区间,而非同一批公司随时间的变化。
Three Different Hiring Playbooks For Three Different Growth Rates
针对三种不同增长率的三种不同招聘策略
The useful output here isn’t a benchmark to hit. It’s the ratio you’re implicitly choosing when you build the plan.
这里有用的产出不是一个需要达到的基准。而是你在制定计划时隐含选择的比率。
Using bucket midpoints, companies growing 50%-100% added about 0.7 points of headcount for every point of revenue growth in 2025. In H1 2026, roughly 0.4. That’s the number that changed.
使用区间中位数计算,2025年增长率为50%-100%的公司,每实现1个点的收入增长,约增加0.7个点的人员。而在2026年上半年,这一比例约为0.4。这就是发生变化的数字。
So three decisions to make on purpose rather than by default:
因此,有三个决策需要有意识地做出,而不是由默认情况决定:
- If you’re growing 100%+, the constraint isn’t efficiency. The cohort that’s winning right now added 133%. Under-hiring against an AI efficiency thesis while a competitor doubles the team is how you end up in the 50%-100% band next year.
- If you’re planning 50%-100% growth in 2027, and your headcount plan grows the team by 45%, you’re planning like it’s 2025. Your comparables cut that to 25% in one year. Either you have a reason yours is different, or you have a plan nobody rebuilt.
- If you’re growing under 25%, a flat team is now the market-normal way to run. The 3% number means the growth has to come from price, mix, retention, and better sales productivity. Hiring your way out is no longer what your peer group is doing.
- 如果你正处于100%+的增长率,约束条件不再是效率。目前获胜的那一批公司增加了133%的人员。在竞争对手将团队规模翻倍的同时,基于AI效率理论而减少招聘,会导致你明年落入50%-100%的增长区间。
- 如果你计划在2027年实现50%-100%的增长,而你的人头计划仅让团队规模增长45%,那你的规划还停留在2025年的思维。你的可比公司数据将这一增长率在一年内削减至25%。要么你有理由说明为何你的情况不同,要么你制定的计划无人愿意重新构建。
- 如果你的增长率低于25%,那么维持团队规模不变已成为市场常态下的运营方式。3%的增长率意味着增长必须来自价格、产品组合、客户留存以及销售效率的提升。靠招聘来驱动增长已不再是你的同行群体所采取的做法。
Source: ICONIQ, quarterly financial and operating data from private venture and growth portfolio companies plus a select dataset of public software companies, 2022 through Q2 2026, as of 08/04/2026. For educational purposes, not investment advice.
数据来源:ICONIQ,涵盖私募风投及成长期投资组合公司的季度财务与运营数据,加上精选的公开软件公司数据集,时间范围为2022年至2026年第二季度,截至2026年8月4日。仅供教育用途,不构成投资建议。
更进一步:量化金融体系
看懂新闻只是起点——沿量化金融路径,把它变成能交付的工程能力