Does Winner Take Most in SaaS?

There’s a theory to the idea that winner takes most in Startupland. The startup that grows a bit faster at the beginning demonstrates more momentum. The startup raises capital sooner, hires people, builds the product, markets and sells the product, grows more, and raises capital. Repeat the process for each round of capital. Is it borne out in reality?

This theory suggests that irrespective of the category, the winner should capture most of the market value. Reality is far more complicated than this simple idea. After all, most startups face turbulence in their journey. Venture capitalists finance competitors to pursue a market opportunity. M&A environments ebb and flow. Undisclosed private sales or private valuations aren’t considered. Plus, survivorship bias plagues this analysis.

Setting all of that aside, I put together a basic data set across different software sectors. I examined 11 sectors which benefited from meaningful exit activity over the last 15 years. From email service providers (ESP) to application performance management (APM), I catalogued the companies who had sold or were public, and their values at time of exit or today’s market cap. Then I calculated the share of winnings per category. The analysis is far from perfect. It’s meant to be directional.

We can draw a few initial observations. First, there’s quite a bit of variance in the winner’s share by sector. At the top end, Okta and Github have dominated the market for single sign on and code repositories. They define their categories.

One could argue Atlassian belongs in the code repositories bucket. And that’s a good point, but it raises another complication to this type of analysis. How to divide Atlassian’s $15B market capitalization into the Bitbucket market cap and non-Bitbucket market cap? Atlassian’s public disclosures don’t break this out.

At the bottom of the list, the last wave of Business Intelligence (BI) saw 4 companies with an aggregate exit market cap of about $16B. The largest, BusinessObjects, captured 41% of the exit value.

Second, the median winner’s stake across categories is about two thirds. This is “consistent” with the theory, that the winner takes most. Second place takes home around 20-30% of exit market cap.

Third, it’s critical to play to win as a startup, and why being first matters so much. Dominating a market means somewhere between 50-100% of the exit market cap, an exit price 2-3x second place.

This analysis isn’t exhaustive, but as a directional guide, it provides some supporting evidence that even in categories where classic network effects, data network effects or other economies of scale don’t dominate the competitive dynamics, the winner does take most in software.

Matt Story

Sr. Engineering Manager (III), Site Reliability at Google

6 年

I really wish Atlassian would break their revenues out by product in their public filing. They do mention in that filing that their continued strong growth is tied to the JIRA product line though, so I think your assumption is fair.

要查看或添加评论,请登录

Tomasz Tunguz的更多文章

  • Theory Two

    Theory Two

    Today, we’re announcing our second fund of $450m to support our mission of partnering with early stage software…

    22 条评论
  • My Little Library

    My Little Library

    I didn’t notice it at first but there in the back corner of my laptop, I’ve been assembling a little library. The…

    4 条评论
  • 75 Cents per Month

    75 Cents per Month

    What does it cost to have an assistant with you like in the movie Her? The cost of using AI has dropped precipitously…

    12 条评论
  • Small but Mighty AI

    Small but Mighty AI

    77% of enterprise AI usage are using models that are small models, less than 13b parameters. Databricks, in their…

    4 条评论
  • The Post Election Surge is Unevenly Distributed

    The Post Election Surge is Unevenly Distributed

    After the election, the public markets have roared, but not equally. The broad software ecosystem has seen a relatively…

    7 条评论
  • I Talk to Robots While Driving

    I Talk to Robots While Driving

    Over the weekend, I found myself in an hour-long conversation during my drive with an AI. We jumped from discussing…

    12 条评论
  • The White Collar Revolution

    The White Collar Revolution

    The major areas of AI innovation automate white-collar work. Reviewing the BLS’ data on employment for white collar…

    8 条评论
  • Profit Dollars per GPU Dollar

    Profit Dollars per GPU Dollar

    “AWS’ AI business is a multibillion-dollar revenue run rate business that continues to grow at a triple-digit…

    6 条评论
  • My AI Rube Goldberg Machine

    My AI Rube Goldberg Machine

    In yesterday’s post, I calculated the profitability of public software companies. To calculate these figures, I built a…

    9 条评论
  • Productivity One Year from Now

    Productivity One Year from Now

    If AI continues on its current trajectory or accelerates, what will change in your business? We’ve been asking leaders…

    5 条评论

社区洞察

其他会员也浏览了