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Top 587 Image Recognition Software SaaS Companies in May 2026

As of May 2026, there are 587 SaaS companies in Image Recognition Software. They have combined revenues of $9B and employ 42.4K people. They have raised $9.5B and serve 1B customers combined.

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
587
Revenue
$9B
Funding
$9.5B
Employees
42.4K

Filters

Sorting: Highest -> Lowest

Filters

Top Image Recognition Software Companies

Showing 10 of 587 companies ranked by annual revenue.

1
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
5.8K
Growth
129.89%
2
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
Customers
-
Year founded
2011
Funding
$175M
Team size
1.4K
Growth
-
3
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
Customers
-
Year founded
2017
Funding
$1.8B
Team size
603
Growth
430.37%
4
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
Customers
-
Year founded
2008
Funding
-
Team size
4.3K
Growth
-
5
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
Customers
-
Year founded
2014
Funding
-
Team size
835
Growth
-
6
Wayve

London, Greater London, United Kingdom

Wayve is pioneering Embodied AI technology for autonomous vehicles, developing AI that empowers vehicles to perceive, predict, and navigate dynamic environments.

Revenue
$208.1M
Customers
-
Year founded
2017
Funding
-
Team size
648
Growth
-
7
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
Customers
-
Year founded
2011
Funding
$1.7B
Team size
3K
Growth
-
8
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
Customers
-
Year founded
2009
Funding
-
Team size
115
Growth
-
9
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
Customers
-
Year founded
2018
Funding
-
Team size
236
Growth
-
10
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
Customers
-
Year founded
2015
Funding
$490M
Team size
427
Growth
-

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.