Valuation benchmarks for AI Computer Vision Technology Companies. Access public trading comps, EV/EBITDA acquisition multiples, and private market data for pitch books and valuation analysis.
Companies in this group develop and monetize AI-powered computer vision platforms embedded in hardware and cloud software for image and video understanding. Offerings span intelligent transportation analytics, vehicle recognition, and medical imaging assistance for endoscopy. They generate revenue through software subscriptions, device sales, and licensing, making them relevant public trading comparables and valuation benchmarks for applied computer vision with similar use cases, deployment models, and recurring analytics services.
Core capabilities include real-time video analytics for traffic management, automated license plate and vehicle recognition, incident detection and roadway intelligence dashboards, and AI-assisted medical imaging for colorectal polyp detection during endoscopy. Vendors also provide developer tooling such as code editors and debugging utilities, model framework support and version control integration, and APIs for deploying computer vision at the edge and in the cloud. Solutions typically bundle hardware integration, analytics software, and data services.
Primary customers include transportation agencies and public safety departments, hospitals and GI care providers, and enterprise OEMs integrating vision into products. Key performance drivers tracked for valuation include ARR growth and subscription mix, software gross margins versus hardware, contract duration and customer retention, deployment footprint and accuracy rates in detection tasks, and unit placements generating recurring service revenue.
2. Valuation Analysis: Public Trading Comps & Multiples for AI Computer Vision Technology Companies companies
2.1 - Public Peer Groups & Median Valuation Multiples for AI Computer Vision Technology Companies sector
Description: Companies in this group develop and monetize AI-powered computer vision platforms embedded in hardware and cloud software for image and video understanding. Offerings span intelligent transportation analytics, vehicle recognition, and medical imaging assistance for endoscopy. They generate revenue through software subscriptions, device sales, and licensing, making them relevant public trading comparables and valuation benchmarks for applied computer vision with similar use cases, deployment models, and recurring analytics services.
Description:
Provider of intelligent development tools designed to enhance productivity by integrating smart navigation, coding assistance, debugging, and analysis capabilities for Java and Kotlin developers.
Key Products:
Code Editor: Smart editor for Java and Kotlin development
Debugging Tools: Integrated tools for code debugging and error identification
Framework Support: Built-in support for various development frameworks
Navigation Tools: Quick navigation across code files and projects
Version Control: Tools for managing code versions and collaboration.
Description:
Provider of innovative pharmaceutical solutions for gastrointestinal diseases, dermatology, and healthtech, focusing on developing and manufacturing patented treatments and diagnostics to improve patient outcomes using proprietary technologies such as Multi Matrix MMX.
Key Products:
Lialda: Oral medication for treating ulcerative colitis using MMX technology
GI Genius: AI-powered device for detecting colorectal polyps during colonoscopy
Eleview: Injectable composition for gastrointestinal endoscopic procedures
Aemcolo: Antibiotic for treating travelersΓ’β¬β’ diarrhea
Valuation FAQ: AI Computer Vision Technology Companies
What is the current median EV/Revenue multiple for AI Computer Vision Technology Companies?
Based on our index of public trading comparables, the median Enterprise Value to Revenue (EV/Rev) multiple for the AI Computer Vision Technology Companies sector is currently
β.βx.
High-growth peers in the top quartile are trading at
ββ.βx.
View full data.
What is the average EV/EBITDA multiple for companies in this sector?
Profitable companies in the AI Computer Vision Technology Companies sector trade at a median EV/EBITDA multiple of
ββ.βx.
This represents a change vs the 5-year historical average.
Our platform tracks EBITDA multiples for AI Computer Vision Technology Companies and other key peer groups.
How have valuation multiples for AI Computer Vision Technology Companies trended over the last 5 years?
Valuations have adjusted since 2021.
The sector saw peak multiples of ββ.βx EV/Revenue, settling to a 5-year average of β.βx today.
Access our Historical Trends chart for granular monthly data.
What are recent M&A transaction multiples in the AI Computer Vision Technology Companies space?
Recent precedent transactions indicate implied enterprise values ranging from
β.βx to
ββ.βx Revenue.
Private market deals often trade at a liquidity discount compared to public peers.
Unlock the full list of precedent transactions.
Which public companies are used as trading comps for AI Computer Vision Technology Companies?
The primary trading comparable group includes AI Computer Vision Technology Companies.
Key constituents used for benchmarking include large-cap leaders and specialized mid-cap players.
See the full list of companies in the Public Trading Comps section.
How do I value a private company in the AI Computer Vision Technology Companies sector?
Valuing a private AI Computer Vision Technology Companies company typically involves applying current
EV/Revenue and EV/EBITDA multiples from public peers to the private company's financial metrics.
A discount for lack of marketability (DLOM) of 20-30% is often applied.
Our private company valuation database provides the exact multiples needed for this calculation.
What are the AI Computer Vision Technology Companies industry valuation multiples for 2025?
For 2025, the AI Computer Vision Technology Companies industry is trading at a median EV/Revenue multiple of
β.βx.
This reflects current market sentiment, interest rates, and growth expectations.
Access our platform to see how these multiples have changed from 2024 to 2025.
What is the difference between trading comps and transaction multiples for AI Computer Vision Technology Companies?
Trading comps look at how public markets value similar companies today, while
transaction multiples (or precedent transactions) look at the price paid in past M&A deals.
Transaction multiples often include a "control premium," typically resulting in higher valuations than trading comps.
Our database tracks both trading multiples and M&A transaction multiples.
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