Top 118 Statistical Analysis Software SaaS Companies in May 2026

Paris, France

Probabl delivers universal technology enabling data scientists and teams to make the most of their data, leveraging the best practice in machine learning and artificial intelligence. Probabl is a spinoff from the Inria research lab and co-founded by experienced tech entrepreneurs and core-developers of scikit-learn. Probabl is the official operator of the scikit-learn brand, and its main contributor. Probabl's core mission is to develop and maintain commons for data science, from scikit-learn to a complete suite of tools and solutions for machine learning and artificial intelligence.

Dublin, Dublin, Ireland

At Output our mission is to make elite-level sports-science data simple and scalable. We specialise in providing high-value, low-burden data and insights to sports practitioners working at all levels of sport. Our single sensor V2 solution provides a 360 degree view of a weight-room and physio clinic with seamless athlete testing and tracking with a single state of the art wearable and real-time decision making dashboards in the Output Hub. Having launched in 2020, we are now proud to work with hundreds of sports-orgs globally including flagship clients in the NFL, MLB, NHL, MLS, PGA, NWSL and EPL to help provide them rapid performance insights with minimal burden.

Bern, Bern, Switzerland

RetinAI is a Swiss & US-based software company improving and supporting R&D of first-in-human drug candidates, supercharging management and oversight of clinical trials and enabling the research needed to elevate the quality of care on patients with eye diseases. We achieve this goal by building tools to collect, analyze and to organize health data. Our fundamental belief is that in the future every patient will use drugs alongside a digital application that will enable them and their physicians to better assess the right drug, in the right amount and the right frequency for patients.

Düsseldorf, North Rhine-Westphalia, Germany

Simreka is an AI and Data-Driven Simulation Software that helps R&D and Manufacturing teams of consumer product brands and chemical companies to run the huge number of data-driven simulated experiments instead of actual physical experiments, thus leading to faster development of new products and better manufacturing processes in a very short time. Our data-powered AI engines can run hundreds to millions of Simulated R&D experiments in matters of hours to days with data (both from public and company internal sources), thereby greatly increasing the chances of developing a functional product that is cost-effective, safe and sustainable at the same time.

Wuxi Shi, Jiangsu, China

Developer of medical records software systems. The company's professional electronic medical record software compatible with statistical and analytical applications for quick data extraction and analysis enabling hospitals and medical institutions to maintain patient and treatment records securely.

Jaipur, Rajasthan, India

We provide sports analytic data solution for multiple sports like Cricket,Football. Our team of data scientists research sports data to provide a turn key solution for our clients.

Tokyo, Tokyo, Japan

Developer of a statistical analysis application created to deliver suggestions to all data and bring happiness to everyone. The company's statistical analysis software includes a web application that do analytics in order to enhance business efficiency in companies, enabling clients to predict their growth and development opportunities and plan accordingly.

Avignon, Provence-Alpes-Côte d'Azur, France

Project Jupyter is a set of open-source software tools for interactive and exploratory computing. Developed by a community of worldwide contributors, these tools support reproducible and collaborative scientific computing and data science across a wide range of programming languages (Python, Julia, R, etc.). The Jupyter Notebook, a web-based, interactive computing platform that allows users to perform data cleaning, data analysis, statistical modeling, numerical simulation, and data visualization, has over two million worldwide users across every imaginable technical field. To learn more visit www.jupyter.org.

Dublin, Ireland

Data Science in Life Sciences

London, England, United Kingdom

Developer of industrial planning and scheduling platform intended to apply cutting-edge technology to industrial data. The company's industrial planning and scheduling platform offers engineering optimization and statistical data analytics for enabling industrial automation in the process systems and energy sector, enabling them to improve operational efficiency and reduce operational cost.