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Top 50 Data Science and Machine Learning Platforms Companies (August 2026)

As of August 2026, Latka tracks 4,324 data science and machine learning platforms companies. They have combined revenues of $53.9B and employ 458.7K people. They have raised $66.5B and serve 3.8B customers combined.

Every company below sells data science and machine learning platforms 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 Data Science and Machine Learning Platforms Companies do

Data Science and Machine Learning Platforms are software solutions designed to facilitate the analysis, modeling, and interpretation of complex data sets using statistical and machine learning techniques. These platforms enable data scientists to build, train, and deploy machine learning models efficiently, often featuring tools for data visualization, preprocessing, and collaboration among team members. They support various workflows, including data ingestions, model development, and performance monitoring, catering to organizations aiming to leverage data-driven insights for decision-making. Typical use cases for these platforms include predictive analytics, customer segmentation, and operational optimization. They are utilized across various industries such as finance, healthcare, marketing, and technology. Common buyer personas include data scientists, data analysts, business intelligence professionals, and IT managers, who seek to extract actionable insights from data and improve business processes through advanced analytics and machine learning capabilities.

Companies
4,324
Revenue
$53.9B
Funding
$66.5B
Employees
458.7K

Filters

Sorting: Highest -> Lowest

Filters

Top Data Science and Machine Learning Platforms Companies by revenue

Showing 10 of 4,324 companies ranked by annual revenue.

1Databricks logo
Databricks

San Francisco, California, United States

a cloud-based data engineering, data science, and machine learning platform

Revenue
$5.4B
Customers
10K
Year founded
2013
Funding
$9B
Team size
8K
Growth
45.95%
2GrubMarket logo
GrubMarket

San Francisco, California, United States

AI-powered technology enabler and digital transformer of American…

Revenue
$2.4B
Year founded
2014
Funding
$515M
Team size
115
Growth
20%
3Surge AI logo
Surge AI

San Francisco, California, United States

The world's most powerful data labeling and RLHF platform, designed for the next generation of AI

Revenue
$1.4B
Year founded
2018
Funding
$25M
Team size
121
Growth
12.5%
4MegazoneCloud logo
MegazoneCloud

Seoul, South Korea

MegazoneCloud accelerates your journey to the AI era with comprehensive cloud, AI, and cybersecurity solutions.

Revenue
$1.2B
Year founded
2018
Funding
$510M
Team size
1K
5Celonis logo
Celonis

Munich, Bayern, Germany

process mining platform to help businesses analyze, visualize, and optimize their processes.

Revenue
$771M
Customers
500
Year founded
2011
Funding
$2.4B
Team size
3.7K
6Advance Intelligence Group logo
Advance Intelligence Group

Singapore

Advance Intelligence Group is an AI-driven technology company specializing in financial technology and services, founded in 2016 in Singapore. They provide AI-powered credit-enabled products and services in various sectors including financial services and retail.

Revenue
$770M
Year founded
2016
Funding
$80M
Team size
1.7K
7Hopper logo
Hopper

Montreal, Quebec, Canada

Hopper is a mobile app that leverages big data and machine learning to predict and analyze airfare

Revenue
$686.9M
Year founded
2007
Funding
$175M
Team size
1.2K
8TELUS Digital AI Data Solutions logo
TELUS Digital AI Data Solutions

Las Vegas, Nevada, United States

TELUS Digital AI & Data Solutions partners with a diverse and vibrant community to help our customers enhance their AI and machine learning models. The work of our AI Community contributes to improving technology and the digital experiences of many people around the world. Our AI Community works in our proprietary AI ...

Revenue
$507.1M
Year founded
2005
Funding
$1.6M
9Tenstorrent logo
Tenstorrent

Toronto, Ontario, Canada

Tenstorrent is a next-generation computing company that builds computers for AI.

Revenue
$501.6M
Year founded
2016
Funding
$793M
Team size
1.2K
10Gong logo
Gong

San Francisco, California, United States

a revenue intelligence platform for sales teams

Revenue
$500M
Customers
4K
Year founded
2015
Funding
$583M
Team size
1.3K

Frequently asked questions about Data Science and Machine Learning Platforms Companies

How many data science and machine learning platforms companies are there?

Latka tracks 4,324 data science and machine learning platforms companies with reported revenue. Together they generate $53.9B in annual revenue and employ 458.7K people.

Which data science and machine learning platforms company is the largest?

Databricks is the largest, with $5.4B in annual revenue, founded in 2013.

How much revenue does a typical data science and machine learning platforms company make?

The average data science and machine learning platforms company in this list makes $12.5M a year, across 4,324 companies with reported revenue. They serve 3.8B customers combined.

Who are the leading Data Science and Machine Learning platforms vendors?

Ranked by annual revenue, the leaders are Databricks, GrubMarket, Surge AI, MegazoneCloud and Celonis.

How much funding have data science and machine learning platforms companies raised?

The 4,324 data science and machine learning platforms companies tracked here have raised $66.5B in disclosed funding between them.

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Inclusion Criteria

- Must provide comprehensive tools for data preparation, analysis, and model deployment. - Must support collaboration features for data scientists and business stakeholders. - Must include capabilities for both supervised and unsupervised machine learning. - Must allow for the integration of various data sources and formats. - Not just for analysis; must also provide tools for model training and evaluation.