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Top 118 Statistical Analysis Software SaaS Companies in May 2026

As of May 2026, there are 118 SaaS companies in Statistical Analysis Software. They have combined revenues of $1.3B and employ 7K people. They have raised $431M and serve 20.1M customers combined.

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
118
Revenue
$1.3B
Funding
$431M
Employees
7K

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Top Statistical Analysis Software Companies

Showing 10 of 39 companies ranked by annual revenue.

1
Infopro Systems, Inc

Rockville, Maryland, United States

InfoPro Systems Inc. is a software development and consulting firm specializing in designing systems that collect, process and distribute clinical and research medical science data. InfoPro has executed a series of large-scale projects for health related studies and clinical trials for the Centers for Disease Control and Prevention (CDC) and the National Institutes of Health (NIH) as well as for commercial clients. The majority of projects were based on effective design of the metadata for health studies to dynamically drive data collection, data review, analyses and publishing. This approach also helps bring data and process transparency to non-IT users, including scientists and health content and domain experts.

Revenue
$1M
Customers
-
Year founded
1998
Funding
-
Team size
5
Growth
15.74%
2
MRDC Software

Tunbridge Wells, Kent, United Kingdom

MRDC Software specialise in the supply of software products and services to the market research industry, we are an established company with offices in the United Kingdom and the Philippines. The MRDC culture is to provide you with right solution for your business. Every customer is different and we have a range of products and services, from basic to advanced, means that we can listen to your problems, ask questions and deliver what you need. We believe that having the right tools to succeed or the right services to provide exactly what is needed will make your business or your clients’ business much better. The Software MRDC sells both its own software and leading third-party products, to provide its clients with the best software available for data collection, analysis and reporting. MRDCL is acknowledged by many as the most powerful tabulation software for data processing professionals. MRDC acts as an agent for QPSMR, the end to end data processing software in Asia. MRDC is an official re-seller of Intellex's DataDynamic software and Snap Survey's online data collection and analysis platform. The newest additions to our software solutions are communities247 & listening247. communities247Ⓡ is a private online communities platform that enables business’ to reach out to and engage with 10s, 100s or even 1000s of their customers whilst listening247Ⓡ is a 3rd generation Social Listening & Analytics solution, and the only one that was developed specifically for the purpose of customer insights. MRDC can truly offer a one stop shop for all your research software needs. The Services MRDC offers a complete service for data analysis services, online survey scripting and management, automated reporting services and consultancy services, to assist with the management of complex projects. Management The company is owned and operated by Phil Hearn and Sonja Rose. Phil has worked in market research software and DP services for over 25 years and has been a regular speaker at conferences around the world. Sonja has specialised in pharmaceutical research analysis and DP operations.

Revenue
$990K
Customers
-
Year founded
1993
Funding
-
Team size
9
Growth
-
3
Master AI & Data Analytics for Business

Milano, Lombardy, Italy

Data Engineering 2.Statistical Modelling and Machine Learning 3. AI & Computer Vision 4.Data Analytics and management for business

Revenue
$990K
Customers
-
Year founded
2012
Funding
-
Team size
9
Growth
-
4
Robexia AI Lab

Madrid, Madrid, Spain

25 years of experience in quantitative analysis for online brokers and banks.

Revenue
$880K
Customers
-
Year founded
-
Funding
-
Team size
8
Growth
-
5
Rivendell Technologies, Inc.

San Francisco, California, United States

HackerPulse enables software engineers to showcase their skills, verified through adaptive testing and data analysis. We use machine learning to analyze data from developer focused platforms and academic papers to create a comprehensive user profile. Engineers can verify their skills through adaptive testing and social validation.

Revenue
$880K
Customers
-
Year founded
-
Funding
-
Team size
8
Growth
-
6
TQIntelligence

Atlanta, Georgia, United States

Provider of a data analytics health platform intended to measure the severity of the emotional distress. The company's technology integrates with software sub-platforms using a proprietary algorithm developed from Machine Learning analytics to support a data-driven approach to treatment planning and outcomes management, empowering healthcare executives, direct service providers and patients to translate complex behavioral data into meaningful and actionable solutions while reducing the cost of care.

Revenue
$792.8K
Customers
-
Year founded
2016
Funding
-
Team size
5
Growth
75.62%
7
Silvi.ai

United States

Silvi is an end-to-end screening and data extraction tool supporting Systematic Literature Review and Meta-analysis. Silvi helps create systematic literature reviews and meta-analyses that follow Cochrane guidelines in a highly reduced time frame, giving a fast and easy overview. It supports the user through the full process, from literature search to data analyses. Silvi is directly connected with databases such as PubMed and ClinicalTrials.gov and is always updated with the latest published research. It also supports RIS files, making it possible to upload a search string from your favorite search engine (i.e., Ovid). Silvi has a tagging system that can be tailored to any project. Silvi is transparent, meaning it documents and stores the choices (and the reasons behind them) the user makes. Whether publishing the results from the project in a journal, sending them to an authority, or collaborating on the project with several colleagues, transparency is optimal to create robust evidence. Silvi is developed with the user experience in mind. The design is intuitive and easily available to new users. There is no need to become a super-user. However, if any questions should arise anyway, we have a series of super short, instructional videos to get back on track.

Revenue
$770K
Customers
-
Year founded
2019
Funding
-
Team size
7
Growth
-
8
Chemometric Brain

United States

Chemometric Brain is a cloud-based software leveraging NIR technology for digitized quality control, fraud detection and production monitoring in the food industry. We offer a hardware agnostic solution that is compatible with most NIR spectrometers on the market, along with wide range of existing product libraries and models for qualitative and quantitative analysis of food and nutrition products. We believe, in the near future all food products and supply chains will become digital. In pursuit of this vision, we aim to democratize the use of NIR technology, which remains underutilized and inaccessible 40 years after its first usage.

Revenue
$770K
Customers
-
Year founded
-
Funding
-
Team size
7
Growth
-
9
1000minds

Dunedin, Otago, New Zealand

1000minds’ powerful conjoint analysis and decision-making tools give your organization a complete, auditable process for discovering customer or stakeholder preferences and making consistent, fair and transparent decisions.1000minds utilizes the award-winning, patented PAPRIKA algorithm for Conjoint Analysis and Multi-Criteria Decision-Making (MCDM) to help you make the best decision, every time. 1000minds’ uniquely-designed conjoint surveys make it easy to discover what matters to people when making choices involving trade-offs. It’s quick and easy to include participants in your survey and analyze the results in a meaningful way with our user-friendly reporting. Our conjoint surveys have limitless applications, including identifying stakeholder or customer preferences for marketing research, healthcare and public policy decisions, and staff surveys to understand diverse perspectives. 1000minds’ decision-making tools are invaluable for any organization that needs an auditable process to determine which projects or options are good value for money and to prioritize alternatives fairly and transparently. You will also be able to make more consistent decisions by revealing the variability or ‘noise’ in people’s reasoning, and improve group decision-making to capture expert judgment and consensus. Our decision-making tools have a multitude of applications, including for important financial, operational and strategic business decisions, health care decisions like patient prioritization, and prioritization for research and development of products, services, and life-saving medications. Get started today by requesting a demo from our friendly team.

Revenue
$770K
Customers
-
Year founded
2003
Funding
-
Team size
7
Growth
-
10
Syntegra

San Francisco, California, United States

Syntegra is unlocking the promise of real-world evidence by employing a groundbreaking machine learning model — the Syntegra Medical Mind — to enable low-burden access to privacy-preserved and equitable synthetic health data, increasing the value of data for those who have it and providing access for those who need it. Synthetic data matches the statistical accuracy of the underlying data without linking to any actual patients, fully protecting patient privacy. Syntegra’s ever-growing model is built from the statistical patterns of structured healthcare data to serve the diverse needs of our customers, including health systems, life sciences, health tech, payers and clinical research organizations. Gain immediate access to patient-level data via our Synthetic Data API today. Users can leverage our data to accelerate data science and analytics, build predictive models, generate synthetic control groups for clinical trials and so much more. Syntegra is backed by well-established investment firms, including Sweat Equity Ventures, Hike Ventures, Impact Venture Capital, Village Global, Wisconn Valley Ventures and Innovation Global Capital.

Revenue
$770K
Customers
-
Year founded
2019
Funding
-
Team size
7
Growth
-

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