Computer Vision: The 60:1 Research-to-Market Gap

Why it matters

Computer Vision (CV) exhibits the highest lab-to-market friction in the tech ecosystem. While it generates massive academic output—16,427 papers in the current index—it translates to only 272 dedicated job postings. This 60.4:1 ratio suggests that pure "Computer Vision Engineer" roles are scarce. Instead, CV skills are likely being absorbed as secondary requirements into broader "AI Engineer" or "Machine Learning Engineer" roles, or the technology is being productized by a very small number of highly specialized lab teams rather than being democratized across the enterprise layer.

Counter-signals

• CV requirements are often embedded in general "AI Engineer" or "Robotics" roles rather than being called out as dedicated CV positions.(job_descriptions)

Evidence

• 16,427 Computer Vision papers identified (primary_category cs.CV) in the current index.(research_papers)
• 272 dedicated CV job postings found (computer vision keyword in job description), resulting in a 60.4:1 research-to-market friction ratio.(jobs)