Israel Computer Vision Startup Landscape of 2019

Israel Computer Vision Startup Landscape of 2019
The Computer Vision startup ecosystem of Israel has raised $2.9 billion in cumulative funding to date and is a driving force in Israel's Artificial Intelligence ecosystem. The infographic above depicts Israel's Computer Vision startups by the vertical in which they operate.

Here’s the top highlights of Israel's Computer Vision startup ecosystem to date:

  1. There are over 245 active startups utilizing or developing Computer Vision technologies, of which 150 startups have raised one or more funding rounds. Since 2014, an average of 35 startups are established annually.
  2. Computer Vision startups raised $892 million funds in 2018, across 69 deals, up 10% from 2017.
  3. 71% of AI startups offer software-based solutions, while 29% offer a mixed offering of hardware and software.
  4. 75% of startups are business-facing (B2B), while 25% are consumer-facing (B2C).
  5. Cumulative Israeli Computer Vision startup exits total nearly $1.9 billion over 19 exits. Over the last five years, Computer Vision startup exits averaged $102 million per deal and sell for 8.8 times their total funding at the date of exit. On average, Computer Vision startups raised $16 million before exiting.
  6. The typical startup takes 7.6 years to exit following their establishment.
  7. In 2018, OurCrowd ranked as the most active investor in Computer Vision startups in Israel with 9 total investments, followed by Maniv Mobility and Vertex Ventures. MizMaa Ventures, TheTime and Viola Ventures followed.
  8. The most concentrated sub-sector of the computer vision startup ecosystem is the computer vision technology stack with 58 startups and $500 million in combined funding. Healthcare (45 startups with $415 million), automotive (35 startups with $760 million) and agriculture (18 startups with $76 million) sub-sectors of computer vision startups followed.
Subscribe to our weekly newsletter here.
© 2019 StartupHub.ai. All rights reserved. You may not republish this article in full without a license. Search engines and AI research tools may crawl and summarize for reference. Bulk reproduction or model training requires a license. See our terms.
Daniel Singer

Written by

Daniel Singer

Editor, StartupHub.ai

Daniel Singer is the editor of StartupHub.ai, a technology expert and thought leader on AI and its applications across sectors, from fintech and healthcare to developer tooling and consumer software. He writes and tests the tools covered here thoroughly and regularly, and built StartupHub.ai to give founders, operators and buyers a clearer read on what they are actually being sold.