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Top 1 Statistical Analysis Software Companies $100M+ Revenue (August 2026)

As of August 2026, Latka tracks 1 statistical analysis software companies with $100M+ in annual revenue. They have combined revenues of $380M and employ 1.4K people.

Every company below sells statistical analysis 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 Statistical Analysis Software Companies do

Statistical Analysis Software refers to tools designed to analyze, interpret, and visualize datasets. These software applications provide a collection of statistical algorithms and functionalities that help users discover patterns and insights within the data they are working with. The primary use cases include descriptive statistics, inferential statistics, and predictive modeling, catering to fields such as research, finance, healthcare, and marketing. Typical features of statistical analysis software include data manipulation capabilities, graphical representations of data, advanced computational statistics, and reporting tools. Workflows often involve data importation, transformation, analysis through various statistical techniques, and exporting results in accessible formats. Common buyers of these solutions range from data scientists and researchers to business analysts and operational teams within organizations, all seeking to make data-informed decisions based on rigorous statistical insights.

Companies
1
Revenue
$380M
Funding
-
Employees
1.4K

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Top Statistical Analysis Software Companies $100M+ Revenue

Showing 1 of 1 companies ranked by annual revenue.

1SurveyMonkey logo
SurveyMonkey

San Mateo, California, United States

SurveyMonkey is a global leader in online surveys and forms that empowers people with the insights they need to make decisions with speed and confidence. Our fast, intuitive feedback management platform connects millions of users worldwide with real-time AI-powered insights that drive meaningful decisions. We provide answers to more than 20 million questions every day so that people and organizations can attract new audiences, delight customers, create advocates, and extend their competitive advantage in the marketplace. Our vision is to raise the bar for human experiences by amplifying individual voices. Learn more at surveymonkey.com.

Revenue
$380M
Team size
1.4K

Frequently asked questions about Statistical Analysis Software Companies $100M+ Revenue

How many statistical analysis software companies with $100M+ in annual revenue are there?

Latka tracks 1 statistical analysis software companies with $100M+ in annual revenue. Together they generate $380M in annual revenue and employ 1.4K people.

Which statistical analysis software company with $100M+ in annual revenue is the largest?

SurveyMonkey is the largest, with $380M in annual revenue.

How much revenue does a typical statistical analysis software company with $100M+ in annual revenue make?

The average statistical analysis software company in this list makes $380M a year, across 1 companies with reported revenue.

Who are the leading Statistical Analysis software vendors with $100M+ in annual revenue?

Ranked by annual revenue, the leaders are SurveyMonkey.

Related Analytics Tools & Software categories

All Analytics Tools & Software SaaS categoriesEvery category we track inside Analytics Tools & Software, each ranked by revenue.Browse every SaaS industryThe full A-Z of SaaS categories Latka tracks, from Statistical Analysis to everything else.

Inclusion Criteria

- Must provide tools for both descriptive and inferential statistical analysis - Should include data visualization capabilities to represent findings effectively - Must support data import and export in various formats - Should offer functionalities for advanced statistical modeling and analytics - Not merely data collection tools; must also enable comprehensive data analysis - Should allow for user customization and scripting to enhance analysis flexibility - Must cater to a wide range of industries, supporting diverse statistical applications