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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

Filters

Sorting: Highest -> Lowest

Filters

Top Statistical Analysis Software Companies

Showing 10 of 15 companies ranked by annual revenue.

1
TileDB

Cambridge, Massachusetts, United States

TileDB is foundational software designed by scientists for scientific discovery. TileDB structures all data types, including that data that does not fit into relational databases built for structured tabular data. Built on a powerful shape-shifting array database, TileDB handles the complexities of non-traditional “unstructured” multimodal data, such as genomic variants, bulk and single-cell transcriptomics, proteomics, biomedical imaging, as well as the frontier data of the future. Used by science and data teams within big pharma and biotechs to power their multiomic FAIR data platforms, TileDB is the destination for scientific breakthroughs where frontier multimodal data is driving drug discovery.

Revenue
$8.8M
Customers
-
Year founded
2017
Funding
-
Team size
80
Growth
-
2
SigTech

London, England, United Kingdom

SigTech is a cutting-edge fintech platform blending AI and quantitative analysis for market professionals, including quants. We offer deep financial market data analysis, robust instrument valuation, and advanced strategy backtesting. Ideal for analysts, portfolio managers, and traders, SigTech combines data-driven insights with quantitative modeling, streamlining decision-making in finance. The work on the SigTech platform started in 2013 to manage systematic investments at Brevan Howard, which remains a SigTech client today. After the spinoff into an independent company in early 2019, the team has grown substantially and established SigTech as the leading provider of quant technologies. MAGIC (Multi-Agent Generative Investment Copilots) enhances our platform's capabilities by providing an all-in-one solution for investment professionals. It leverages AI and advanced quantitative tools to deliver unparalleled market insights, helping users build and test investment strategies more efficiently.

Revenue
$8.7M
Customers
-
Year founded
2019
Funding
-
Team size
79
Growth
-
3
EdgeTier

Dublin 2, Dublin, Ireland

EdgeTier deliver high-quality analytics products and services to our clients in the areas of customer service, customer simulation, and analytics services. Customer service is changing. Customer expectations are rising. Faster response times, better service, faster time to resolution are basic expectations bundled with inbound requests. EdgeTier combine domain knowledge with specialist technical skills to deliver high-impact statistical insights, predictive models and data-driven business advice. Arthur is EdgeTier's automated agent assistant which works seamlessly with customer service agents to answer customer queries more efficiently and accurately, yet retaining a personal touch for every customer. Arthur uses cutting edge analytics, machine learning, automation, and artificial intelligence technology to generate personalised and accurate responses to every customer query. Customer contact centres using Arthur are seeing reductions in average handling times of up to 80% for inbound customer queries - get in touch with us now to see how Arthur can revolutionise your contact centre.

Revenue
$8.6M
Customers
-
Year founded
2015
Funding
-
Team size
57
Growth
-
4
Quantifi

New York, New York, United States

Quantifi is a provider of risk, analytics and trading solutions for the global financial markets and commodities industries. Quantifi is trusted by the world's most sophisticated financial institutions, including five of the six largest global banks, two of the three largest asset managers, leading hedge funds, insurance companies, pension funds and global commodity firms. Quantifi's integrated framework delivers accurate analytics, comprehensive risk management, cross-asset trading, front-to-back operations, position management, market, credit, counterparty and liquidity risk management, margining, and regulatory reporting all on a single platform. By applying the latest technology innovations, Quantifi provides new levels of usability, flexibility, and integration. This translates into dramatically lower time to market, lower total cost of ownership and significant improvements in operational efficiency, allowing you to focus on your core business. Renowned for our client focus, depth of experience, and commitment to innovation, Quantifi is consistently first-to-market with intuitive, award-winning solutions.

Revenue
$8.5M
Customers
-
Year founded
2002
Funding
-
Team size
77
Growth
-
5
Julia Computing

Cambridge, Massachusetts, United States

Developer of open-source language software designed to make programming language easy to deploy, use and scale. The company's open-source language software is used for data science, machine learning and scientific computing which includes research, back testing, trading, contract modeling and series analytics as well as provides the functionality, ease-of-use and intuitive syntax of R, Python, Matlab, SAS or Stata combined with the speed, capacity and performance of C, C++ or Java, enabling users to receive a fast and modern language for crunching data.

Revenue
$7.9M
Customers
20M
Year founded
2015
Funding
$4.6M
Team size
102
Growth
80.27%
6
Alva Labs

Stockholm, Stockholm County, Sweden

Evaluating a candidate in a recruitment process is difficult. Even more so, when you have 200 candidates for one position. At Alva, we are committed to making candidate assessment better for everyone. By combining AI and machine learning with established science and research, we have created a platform for psychometric testing that all recruiters can use. Save time in the screening process, while also ensuring all candidates get a fair chance. Remove bias, open up for diversity and most importantly - base your hiring decisions on objective data that actually predict success on the job.

Revenue
$7.2M
Customers
-
Year founded
2017
Funding
-
Team size
65
Growth
-
7
Periodic Labs

Menlo Park, United States

Periodic Labs uses AI to analyze large-scale scientific data and collaborates with academic and industry partners to support material science research. It aims to build AI that can accelerate discoveries in physics, chemistry and other fields.

Revenue
$6.6M
Customers
-
Year founded
2025
Funding
$300M
Team size
33
Growth
-
8
Yields

Ghent, Oost Vlaanderen, Belgium

Yields - Uncompromising in Model Risk Management Yields is an international technology company providing an award-winning SaaS platform for financial institutions to stay in control of their models. The modular and model agnostic solution empowers firms to oversee, test and document their models at scale while ensuring full reproducibility and auditability. Leading global and local firms have successfully deployed the Yields MRM platform to boost the effectiveness and efficiency of their model development and validation activities. Yields is backed by renowned investment firms including investors Volta Ventures, Pamica NV, and G+D Ventures. For additional information, please visit our website: www.yields.io

Revenue
$6.5M
Customers
-
Year founded
2017
Funding
-
Team size
59
Growth
-
9
Triumph Research Intelligence

Cambridge, England, United Kingdom

Developer of risk-based monitoring solutions for clinical trials. The company's cloud-based, fully validated monitoring platform enables companies to prove their compliance to ICH E6 (R2) through the innovative combination of data visualization, statistical modeling, decision making support, activity management, and time base audit trials.

Revenue
$5.9M
Customers
-
Year founded
2013
Funding
-
Team size
72
Growth
46.75%
10
Auquan

London, England, United Kingdom

Developer of an algorithmic trading skills platform intended to discover and implement newer trading ideas. The company's platform develop high quality trading strategies and bridge the gap between data science and finance, enabling clients to translate analytical skills of talented people into trading profits.

Revenue
$5.9M
Customers
-
Year founded
2016
Funding
$1.1M
Team size
75
Growth
66.02%

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