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Tech IPO Report 2017

Our 5th annual Tech IPO Pipeline Report takes a look at tech's 369 most highly-valued and high-momentum private companies.


50% of Tech IPO Pipeline companies raised their first financings in the past 5 years, 62% in the past 6 years. 2012 saw the greatest number of first funding rounds with 58. Highlighting the lengthening amount of time it takes to go public, 7% of Pipeline companies first raised before 2005.


These are the startups that will shape tech news in 2017. The report shows that despite a slowing down in startup funding overall, high momentum companies are able to raise money in the private markets and that there are more companies poised for IPOs next year than 2016.


$86.2B RAISED BY TECH IPO PIPELINE COMPANIES


After more than doubling between 2014 and 2015, the rate of $100M+ equity financing rounds to pipeline companies in 2016 YTD has fallen from 2015’s high. The 41 rounds this year raised a cumulative $16.1B, with Uber alone raising $3.5B in private equity.


50% OF IPO PIPELINE COMPANIES RAISED FIRST FUNDING IN PAST 6 YEARS


The 369 companies in the pipeline have raised $86.2B across nearly 2000 deals since 2000. Over one-third of that was raised in 2015 alone. Despite YoY funding increases to pipeline companies since 2009, funding is set to drop in 2016 at the current run rate. Deals to pipeline companies are set to drop for the 2nd consecutive year.


ONLY 12 PIPELINE COMPANIES JOIN THE UNICORN CLUB IN 2016 YTD

A SELECTION OF THE 2017 TECH IPO PIPELINE COMPANIES

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ABOUT CB INSIGHTS

With backing from the National Science Foundation and venture capital investors, we mine terabytes of data and knowledge contained in patents, venture capital financings, M&A transactions, hiring, startup and investor websites, news sentiment, social media chatter, hiring activity, and more. 


Our software algorithmically analyzes this data to help our clients see where the world is going tomorrow, today.

Our team comes to work every day to build technology that helps corporations guess less and win more.


We aggregate and analyze massive amounts of data and use machine learning, algorithms and data visualization to help corporations replace the three Gs (Google searches, gut instinct and guys with MBAs) so they can answer massive strategic questions using probability not punditry.


Questions Like:

  • Which disruptive companies should we worry about?
  • Which emerging trends could kill us?
  • What new markets should we enter?
  • What is our competitor's strategy?
  • Who should we acquire?
  • Who should we invest in?
  • Who is our next customer?
  • Who are the S&P 500 of tomorrow?