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Top 50 Image Recognition Software Companies (September 2026)

As of September 2026, Latka tracks 586 image recognition software companies. They have combined revenues of $8.8B and employ 37.6K people. They have raised $11.5B and serve 1B 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
586
Revenue
$8.8B
Funding
$11.5B
Employees
37.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Image Recognition Software Companies by revenue

Showing 10 of 586 companies ranked by annual revenue.

1Scale AI logo
Scale AI

San Francisco, California, United States

Scale AI Inc. is a machine learning data annotation platform that provides high-quality training data to help develop and improve artificial intelligence (AI) models.

Revenue
$2B
Customers
1K
Year founded
2016
Funding
$1.6B
Team size
1.4K
Growth
129.89%
2PicsArt logo
PicsArt

San Francisco, California, United States

Picsart is the world's largest digital creation platform. Its AI-powered tools allow creators of all levels to design, edit, draw and share photo and video.

Revenue
$750M
Year founded
2011
Funding
$175M
Team size
1.4K
3Metropolis logo
Metropolis

Los Angeles, California, United States

Metropolis is a proprietary AI- and computer vision-based operating system designed to revolutionize parking management and support the advancement of mobility capabilities.

Revenue
$580M
Year founded
2017
Funding
$1.8B
Team size
603
4sama.com logo
sama.com

San Francisco, California, United States

Sama is the global leader in ethical data annotation and model evaluation solutions for computer vision, generative AI and other major applications of artificial intelligence. Our solutions minimize the risk of model failure and lower the total cost of ownership through an enterprise ready ML-powered platform, actionable data insights uncovered by proprietary algorithms, and a highly skilled on-staff team of over 5,000 data experts. 25% of Fortune 50 companies, including GM, Ford, Microsoft and Google, trust Sama to help deliver industry-leading ML models. Ethical AI is responsible AI, and as a Certified B-Corp, we’ve pioneered an impact model that harnesses the power of markets for social good, and has been proven to meaningfully improve employment and income outcomes for those with the greatest barriers to formal work. So far, helping more than 65,000 people lift themselves out of poverty.

Revenue
$470.6M
Year founded
2008
Team size
4.3K
5Skydio logo
Skydio

San Mateo, California, United States

Skydio, Inc. is an American manufacturer of drones headquartered in San Mateo, California. The company specializes in creating autonomous drones using artificial intelligence for various applications including consumer, enterprise, and government sectors.

Revenue
$295.1M
Year founded
2014
Team size
835
6MEGVII logo
MEGVII

Beijing, China

Megvii is a Chinese technology company that designs image recognition and deep-learning software. It is widely known for its Face++ system and provides AI and IoT solutions.

Revenue
$199M
Year founded
2011
Funding
$1.7B
Team size
3K
7Robovision logo
Robovision

Gent, Flanders, Belgium

Robovision is the adaptive engine for image-to-action AI solutions, specializing in machine vision and automation, focusing on industries such as agriculture and equipment manufacturing.

Revenue
$139.9M
Year founded
2009
Team size
115
8Harrison.ai logo
Harrison.ai

Haymarket, New South Wales, Australia

Harrison.ai is a global healthcare technology company on a mission to urgently scale healthcare capacity through AI-powered medical imaging diagnostic support. The company is clinician-led and leverages deep learning to improve healthcare outcomes.

Revenue
$137.7M
Year founded
2018
Team size
236
9Quantum Systems logo
Quantum Systems

Gilching, Germany

Quantum Systems is the powerhouse of intelligent unmanned systems. As a leading dual‑use and defence technology company, we deliver multi‑domain solutions - on land, in the air, at sea, and in software - for government agencies and commercial customers worldwide. Quantum Systems is Europe's highest valued dual-use scale up and a global leader in the development of intelligent unmanned systems. We supply mission-grade ISR, autonomy, and integrated mission solutions to military, government, and commercial customers. Quantum Systems products combine proven hardware, AI, and interoperable software to deliver persistent, reliable intelligence where it matters most.

Revenue
$124.4M
Year founded
2015
Funding
$490M
Team size
427
10Scandit logo
Scandit

Zurich, Switzerland

Developer of computer vision applications designed to reinvent how enterprises and consumers interact with everyday objects and augmented reality. The company's enterprise technology platform for mobile computer vision, barcode scanning and augmented reality, combines deep learning and machine learning with more traditional computer vision heuristics, and extends the Internet of Things to everyday objects, enabling enterprises to identify, track and superimpose relevant digital information on these objects without requiring them to have a computer chip embedded or be connected online.

Revenue
$119.1M
Customers
1K
Year founded
2009
Funding
$273.1M
Team size
364

Frequently asked questions about Image Recognition Software Companies

How many image recognition software companies are there?

Latka tracks 586 image recognition software companies with reported revenue. Together they generate $8.8B in annual revenue and employ 37.6K people.

Which image recognition software company is the largest?

Scale AI is the largest, with $2B in annual revenue, founded in 2016.

How much revenue does a typical image recognition software company make?

The average image recognition software company in this list makes $14.9M a year, across 586 companies with reported revenue. They serve 1B customers combined.

Who are the leading Image Recognition software vendors?

Ranked by annual revenue, the leaders are Scale AI, PicsArt, Metropolis, sama.com and Skydio.

How much funding have image recognition software companies raised?

The 586 image recognition software companies tracked here have raised $11.5B 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.