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Top 3,358 Machine Learning Software SaaS Companies in May 2026

As of May 2026, there are 3,358 SaaS companies in Machine Learning Software. They have combined revenues of $46.8B and employ 425.9K people. They have raised $59.3B and serve 2.9B customers combined.

Machine Learning Software encompasses tools and applications that enable systems to learn from data and improve their performance over time without explicit programming. These solutions often utilize algorithms and statistical models to analyze patterns, make predictions, and automate decision-making processes across various domains. Common use cases include predictive analytics, natural language processing, image recognition, and anomaly detection. Commonly adopted in sectors such as finance, healthcare, marketing, and IT, machine learning software is primarily used by data scientists, business analysts, and IT professionals. Typical features include data preprocessing, model training, evaluation, and deployment, which facilitate the integration of machine learning capabilities into existing workflows. By leveraging large datasets, organizations can enhance operational efficiency, improve customer experiences, and make better-informed strategic decisions.

Companies
3,358
Revenue
$46.8B
Funding
$59.3B
Employees
425.9K

Filters

Sorting: Highest -> Lowest

Filters

Top Machine Learning Software Companies

Showing 10 of 588 companies ranked by annual revenue.

1
Omni Jobs.

, , United States

OmniJobs analyses and categorises open job ads using AI so that anyone can find matching positions in seconds, regardless of their location or profession. Currently we list over +180K open jobs from +15K companies globally.

Revenue
$100M
Customers
-
Year founded
-
Funding
-
Team size
1
Growth
-
2
SambaNova Systems

Palo Alto, California, United States

SambaNova is the leading Enterprise AI company that delivers a full-stack infrastructure from silicon to software, specializing in machine learning and big data analytics platforms.

Revenue
$100M
Customers
-
Year founded
2017
Funding
$982M
Team size
417
Growth
-
3
Degreed

Pleasanton, United States

Degreed is an AI-driven learning platform that helps identify skill gaps, provides personalized learning, and automates learning experiences for upskilling and certification.

Revenue
$100M
Customers
-
Year founded
2012
Funding
$75.9M
Team size
565
Growth
-
4
Moka

Singapore, Singapore

Provider of a Saas recruitment management system designed to make the organizational recruitment process more effective. The company's platform uses artificial intelligence enabled screening program that automatically filters candidates and makes recommendations for companies, enabling recruiters to post job listings across multiple platforms with one click, saving them from the hassle of hopping between portals and achieve better recruitment results by employing suitable candidates.

Revenue
$100M
Customers
1.1K
Year founded
2015
Funding
$146.8M
Team size
1K
Growth
-
5
Fal.ai

San Francisco, California, United States

Customize, deploy, and scale models on Serverless GPUs with the world's first Python Cloud.

Revenue
$100M
Customers
-
Year founded
2021
Funding
$447M
Team size
92
Growth
-
6
Quantexa Limited

London, England, United Kingdom

AI data analytics platfor

Revenue
$100M
Customers
1K
Year founded
2016
Funding
$88M
Team size
872
Growth
9.37%
7
BUSINESSNEXT

Noida, Uttar Pradesh, India

BUSINESSNEXT is a universe of composable enterprise solutions with a focus on banks and financial services globally. Recognized as a Leader by leading industry analysts, it leverages technology, innovation, and experience to relentlessly deliver incredible, unique, and human experiences, acing the volatile and complex business environment. BUSINESSNEXT platforms namely CRMNEXT, CUSTOMERNEXT, DATANEXT & WORKNEXT are AI and ML-driven cloud-agnostic platforms dedicated to enabling digital transformations. It comprises an enriched portfolio of hyper SaaS modular solutions that are responsive, can readily plug & play, and have superlative integration capabilities with the eco-system. BUSINESSNEXT today powers 1 million+ users across 65,000 branches and call centers, managing 1 billion end customers worldwide. BUSINESSNEXT has its USA headquarter in Raleigh, North Carolina, and its international headquarters in Noida, India. It has a footprint across 5 continents and direct offices in 14 countries across the U.S.A, MEA, and APAC.

Revenue
$98.5M
Customers
-
Year founded
2001
Funding
-
Team size
895
Growth
-
8
ibi | Information Builders

Fort Lauderdale, Florida, United States

ibi™ - A global trusted leader in business intelligence, analytics, and data management solutions. Our fully-integrated platform empowers organisations to make smarter decisions, strengthen customer and supplier relationships, and drive efficiency growth. ibi solutions can be utilized together as a comprehensive solution set or separately to complement a company’s existing investments. Our modern BI approach to integrated data science allows companies to leverage their data strategies for their business needs. Headquartered in Fort Lauderdale, Florida, ibi is a proud business unit of Cloud Software Group.

Revenue
$98M
Customers
-
Year founded
1975
Funding
-
Team size
891
Growth
-
9
Verge Genomics

San Francisco, California, United States

We use human data and AI to develop better drugs faster.

Revenue
$98M
Customers
-
Year founded
2015
Funding
-
Team size
63
Growth
-
10
Aera Technology

Mountain View, California, United States

technology company specializing in software solutions

Revenue
$97M
Customers
-
Year founded
2017
Funding
$209.7M
Team size
443
Growth
-

Inclusion Criteria

- Must provide tools for data preprocessing and model training - Should support both supervised and unsupervised learning methods - Must enable the deployment of trained models for real-world application - Should include analytics capabilities for model evaluation and performance tracking - Must cater to users such as data scientists, analysts, and software engineers - Not just for simple data visualization; must also enable predictive modeling and automation