As of August 2026, Latka tracks 90 image recognition software companies with $10M–$100M in annual revenue. They have combined revenues of $2.8B and employ 15.6K people. They have raised $4B and serve 1.9K customers combined.
Every company below sells image recognition software to other businesses and is ranked by its most recent annual revenue. Revenue, funding, headcount and customer figures come from CEO interviews on the Latka podcast, public company filings, and Latka estimates where a company has not disclosed a number.
Image Recognition Software refers to applications that utilize machine learning and artificial intelligence to identify and classify objects, people, and scenes within images or videos. This technology is extensively applied across various industries including healthcare, retail, automotive, and security, enabling organizations to automate processes, enhance user experience, and extract valuable insights from visual data. Primary use cases include facial recognition for security purposes, object detection for autonomous vehicles, and visual search capabilities in e-commerce. Key features of these solutions often encompass image classification, real-time processing, and integration with other data analytics tools. Common users of image recognition software span across business functions such as IT, marketing, and operations, where visual data processing offers significant operational efficiencies. Additionally, many image recognition solutions provide capabilities for customizing algorithms to fit specific industrial needs, ensuring that the software is adaptable to unique integrations and workflows. As technology evolves, advancements in image recognition continue to drive innovation in fields like agriculture for crop monitoring, and in logistics for inventory management.
Sorting: Highest -> Lowest
Showing 10 of 90 companies ranked by annual revenue.
Nanterre, Île-de-France, France
VusionGroup is the global leader in the digitalization solutions for commerce, serving over 350 large retailer groups around the world in Europe, Asia and North America. The Group develops technologies that create a positive impact on society by enabling sustainable and human-centered commerce.
Paris, France
DentalMonitoring is designed to assist healthcare professionals with remotely observing intraoral situations and monitoring orthodontic treatments through an AI-powered platform.
New Delhi, Delhi, India
NAYAN is a visual intelligence platform built on Computer Vision and Machine Learning, providing AI-powered computer-vision solutions aimed at indexing the real-world and improving road safety through real-time insights and actionable data.
New Delhi, Delhi, India
Spiffy convert your boring screenshots into aesthetic and beautiful screenshots. Up to 8K downloads, Custom & AI Background, Shadows, Corners & more.
Limassol, Cyprus
FaceApp is a mobile application known for its advanced photo editing capabilities, especially its use of artificial intelligence to transform users' faces. Developed by Wireless Lab, a company based in Russia, FaceApp gained popularity for its features that allow users to alter their appearance in photographs in various ways. These include changing their age, gender, hair color, style, and other facial features.
Boston, Massachusetts, United States
Powered by leading technology and proprietary data, Trax connects brands, retailers, and shoppers, setting the standard for retail excellence. Trax's AI-powered platform uniquely combines solutions that provide unparalleled data-driven signals to leading global CPGs and retailers to deliver real-time data, retail execution, and consumer engagement to increase ROI. 30 of the world's top 50 CPG companies, along with leading retailers and emerging brands, use Trax's shelf monitoring, analytics, merchandising, activation, and shopper engagement solutions at scale to drive positive shopper experiences and unlock revenue opportunities at all points of sale. Trax is a global company with hubs in the United States, Singapore, France, Hungary, China, Mexico, Japan, Brazil, and Israel, serving customers in more than 80 countries worldwide. To learn more, visit traxretail.com..
London, England, United Kingdom
Tractable is a technology company specializing in the development of Artificial Intelligence (AI) to assess damage to property and vehicles.
Nijmegen, Netherlands
Grand Challenge is an unfunded company based in the United States, founded in 2010. It operates as an AI-based biomedical imaging tool for providers.
New York, NY, United States
ODDITY is a consumer-tech platform built to transform the global beauty and wellness market. We deploy advanced technology, including data science, machine learning models, and computer vision, to develop exceptional products and deliver consumers a superior experience. Our first two brands, IL MAKIAGE and SpoiledChild, have brought millions of consumers online to shop for beauty products for the first time. Our New Ventures brand incubator leverages ODDITY's data and technology platform to develop new brands, solve consumer pain points, and disrupt additional categories in the global beauty and wellness market. ODDITY operates a business headquarters in New York, and an R&D center in Tel Aviv
Shenzhen, China
Developer of a driver assistance system designed to make driving safer. The company's system uses vision algorithm with deep learning technology and performs robustly under complicated conditions of weather, light and traffic, enabling drivers in China to use autonomous driving in bad weather to save from accidents.
Latka tracks 90 image recognition software companies with $10M–$100M in annual revenue. Together they generate $2.8B in annual revenue and employ 15.6K people.
VusionGroup is the largest, with $98.9M in annual revenue, founded in 1992.
The average image recognition software company in this list makes $31.5M a year, across 90 companies with reported revenue. They serve 1.9K customers combined.
Ranked by annual revenue, the leaders are VusionGroup, Dental Monitoring, NAYAN, Spiffy and FaceApp.
The 90 image recognition software companies with $10M–$100M in annual revenue tracked here have raised $4B in disclosed funding between them.
- The software must enable identification and classification of objects, people, or places within images. - It should utilize machine learning algorithms to enhance accuracy over time. - Must provide real-time processing capabilities to support immediate user needs. - The software should support integration with other systems, such as data analytics platforms. - Not just for simple image storage; must also include features for analysis and insights generation. - Must cater to specific industry applications such as healthcare, automotive, or retail.
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