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Top 50 Image Recognition Software Companies With $5M–$10M Revenue (August 2026)

As of August 2026, Latka tracks 60 image recognition software companies with $5M–$10M in annual revenue. They have combined revenues of $411.4M and employ 3.4K people. They have raised $738.1M and serve 15M 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.

What Image Recognition Software Companies do

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.

Companies
60
Revenue
$411.4M
Funding
$738.1M
Employees
3.4K

Filters

Sorting: Highest -> Lowest

Filters

Top Image Recognition Software Companies With $5M–$10M Revenue

Showing 10 of 60 companies ranked by annual revenue.

1Physna logo
Physna

Cincinnati, Ohio, United States

AI-powered 3D scanning and modeling software

Revenue
$9.8M
Customers
30
Year founded
2015
Funding
$26.9M
Team size
50
2Mashgin logo
Mashgin

Palo Alto, California, United States

Self-Checkout using Computer Vision.

Revenue
$9.8M
Customers
15M
Year founded
2015
Funding
$62.5M
Team size
120
3dataspan.ai logo
dataspan.ai

Farmers Branch, Texas, United States

dataspan. ai is the GenAI-powered platform for automating industrial visual inspection. We solve the traditional barriers to visual inspection automation: lack of high-quality, diverse defect data, shortage of computer vision experts, and high integration costs. By combining diffusion models with a human-in-the-loop...

Revenue
$9.7M
Team size
88
4Roboflow logo
Roboflow

San Francisco, California, United States

🖼️ Give your software the sense of sight.

Revenue
$9.6M
Year founded
2019
Team size
65
5Ripik.AI logo
Ripik.AI

New Delhi, New Delhi, India

Ripik AI is the world leading Vision AI SaaS company to revolutionize the manufacturing sector with our patented SaaS technology. We are an Applied AI company headquartered in the cloud with a proprietary computer vision AI platform - deployed at global levels, committed to redefine industries worldwide. Our objective is to achieve cost reductions, enhance efficiency, and drive sustainability in manufacturing through sector-specific knowledge, technical proficiency, and effective change management. Our patented computer vision software for process control reduces operational variability and minimizes human error through automated 24/7 processes. Ripik AI with a team exceeding 70 exceptional professionals, we've successfully deployed our technology over 100 times, consistently delivering tangible results and value to more than 30 satisfied customers. We're honored to have esteemed partners such as Nvidia, Dell, Google Cloud Platform, and Microsoft Azure, whose expertise enhances our solutions. Ripik AI is backed by prestigious venture capitalists such as Accel, Venture highway and several angels such as Varun Aalagh (Mamaearth), Vidit Aatrey (Meesho), Amrit Acharya (zetwerk).

Revenue
$9.1M
Year founded
2021
Team size
83
6Umbo Computer Vision logo
Umbo Computer Vision

San Francisco, California, United States

Provider of autonomous video security system designed to identify suspicious activity and prevent crimes. The company's system offers accurate human behavior alerts by reducing false alerts from common outdoor sources like foliage, weather and animals without the need for additional hardware, enabling enterprises to manage and configure all events, cameras and users from one simple-to-use platform.

Revenue
$9M
Year founded
2014
Funding
$17.6M
Team size
22
7understand.ai logo
understand.ai

Karlsruhe, Germany

We believe that AI is the most powerful tool our generation has at hand. At understand. ai , we make deep learning accessible for real-world applications like self-driving cars. More Info: https://understand. ai /privacy-policy Founded in 2017 in Karlsruhe, Germany, we are the ideal annotation partner throughout...

Revenue
$8.9M
Year founded
2017
Team size
81
8Focal Systems logo
Focal Systems

United States

Auto checkout from stores using computer vision

Revenue
$8.9M
Customers
10
Year founded
2016
Funding
$4M
Team size
155
9Verihubs logo
Verihubs

Jakarta, Indonesia

AI-powered Deepfake Detection

Revenue
$8.9M
Year founded
2019
Team size
62
10DeltaX logo
DeltaX

Seoul, South Korea

DeltaX is a rapidly growing AI company specialized in Industry-grade Computer Vision Solutions and Advanced Machine Learning Research relying on cutting-edge technologies. Since the establishment of the company on September 15, 2020, we have been running breathlessly and made some significant achievements: winning the 2020 Artificial Intelligence Championship and the Minister of SMEs Award-and being selected as the 1,000 representatives of innovative companies in May 2021. And until now, DeltaX's remarkable movement in the AI industry is still in progress. DeltaX is now focusing on R&D to become Korea's No.1 AI company. Our main research areas are Machine Vision, Natural Language Processing, and Semantic Analysis. The number of patents we are applying for is expected to reach about 50 from 2021 to 2023. Also, we have already established our own AI solution based on the research and development field. **Self-driving X-Pilot that cares about people**, and **X-Vision, a comprehensive video analysis technology**, are those. We know better, we do better. DeltaX will continue to develop our machine vision technology.

Revenue
$8.7M
Year founded
2020
Team size
79

Frequently asked questions about Image Recognition Software Companies With $5M–$10M Revenue

How many image recognition software companies with $5M–$10M in annual revenue are there?

Latka tracks 60 image recognition software companies with $5M–$10M in annual revenue. Together they generate $411.4M in annual revenue and employ 3.4K people.

Which image recognition software company with $5M–$10M in annual revenue is the largest?

Physna is the largest, with $9.8M in annual revenue, founded in 2015.

How much revenue does a typical image recognition software company with $5M–$10M in annual revenue make?

The average image recognition software company in this list makes $6.9M a year, across 60 companies with reported revenue. They serve 15M customers combined.

Who are the leading Image Recognition software vendors with $5M–$10M in annual revenue?

Ranked by annual revenue, the leaders are Physna, Mashgin, dataspan.ai, Roboflow and Ripik.AI.

How much funding have image recognition software companies with $5M–$10M in annual revenue raised?

The 60 image recognition software companies with $5M–$10M in annual revenue tracked here have raised $738.1M in disclosed funding between them.

Related Artificial Intelligence Software categories

Inclusion Criteria

- 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.