As of May 2026, there are 83 SaaS companies in Clinical Research Software. They have combined revenues of $1.5B and employ 7.6K people. They have raised $2.3B and serve 852.3M customers combined.
Clinical Research Software encompasses a range of digital tools designed to aid the planning, execution, monitoring, and analysis of clinical trials. These platforms support various stages of clinical research, including data collection, compliance tracking, and reporting, ensuring that trials adhere to regulatory standards and industry best practices. Typical features of these software products include electronic data capture, trial management functionality, subject recruitment tools, and analytics dashboards. The primary users of Clinical Research Software are research organizations, pharmaceutical companies, and healthcare institutions that conduct clinical studies. Buyer personas often include clinical researchers, project managers, data managers, and regulatory compliance officers. These stakeholders utilize the software to streamline processes, enhance data accuracy, and improve the overall efficiency of clinical trials, facilitating better decision-making based on real-time data insights.
Sorting: Highest -> Lowest
Showing 10 of 15 companies ranked by annual revenue.
Hoersholm, Denmark
Provider of image analysis and stereology software. The company provides software for quantitative microscopy within the life science industry. Its software combines the strengths of image analysis and stereology into one software platform, which is designed to operate on a wide variety of microscopes and virtual slide microscopes.
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.
Jersey City, New Jersey, United States
Dyania Health is an advanced healthcare AI research company that has developed a computational-based platform to identify patients who match a complex set of criteria. Their medically specialized Synapsis AI automates manual chart review, empowering clinicians in clinical research and everyday care.
Tustin, California, United States
AI teammates for clinical research
Cambridge, Massachusetts, United States
Ketryx is the first and only connected application lifecycle management software for the life sciences industry. Our automation-based software enables companies building FDA-regulated software and AI-based applications to accelerate development through modern cloud-based tools while improving quality and compliance. Ketryx creates a real-time, and traceable, single source of truth by overlaying product development tools and connecting all items, risks, code, and tests. Teams reduce their time to market with automated documentation and improve their quality and compliance through the enforcement of SOPs across connected systems.
Malmö, Sweden
Developer of a clinical trial technology designed to simplify and drive clinical research as a care option. The company's platform provides a system to accelerate patient recruitment for the matching candidates with recruiting clinical trials, enabling pharmaceutical companies and contract research organizations (CROs) to accelerate drug development.
Pasadena, California, United States
Deep 6 AI disrupts the clinical trial enrollment process by transforming the way researchers identify eligible patients. Using artificial intelligence and natural language processing to mine structured and unstructured patient data, DEEP 6 AI finds more, better-matching patients for trials in minutes, not months. Deep 6 AI works with some of the most prominent health systems, pharma companies, and CROs in the world --making the DEEP 6 platform a crucial step in their clinical research workflow and greatly accelerating patients’ access to clinical trials. DEEP 6 AI was founded in 2015 and is based in Pasadena, CA.
Waltham, Massachusetts, United States
OpenClinica accelerates clinical trials by automating data acquisition through its software-as-a-service platform. Offering a secure bridge between healthcare and research, OpenClinica is trusted by the world’s foremost life science companies, academic institutions, and government entities and has been used in more than 10,000 studies involving over five million patients. OpenClinica is proud to support hundreds of small, midsize and large research organizations spanning biotech, pharma, medical device manufacturing and contract research organizations. Learn more at openclinica.com or email us at [email protected]
Valbonne, Provence-alpes-cote D'Azur, France
Median Technologies is a France based company engaged in providing medical imaging products and services for diagnosing and monitoring cancer patients in both routine clinical practice and clinical drug development. The firm intends to target the oncology clinical trials market and the cancer patient care market. It developed software-based tools that are integrated into a clinical applications portfolio called Lesion Management Solutions. It generates revenue from France and by exports of which the majority of the revenue is made by exports.
Cambridge, England, United Kingdom
Developer of smart data management platform designed to help life sciences companies with data-intensive research. The company's platform provides an easy to use intuitive approach for curating, integrating, sharing, analyzing and valuing scientific data for clinical and molecular studies in the life sciences industry, as well as in other industries where similar challenges have been addressed, enabling industries to deliver game-changing products and technologies into their respective markets.
- The software must facilitate the management and tracking of clinical trials. - It should provide tools for electronic data capture and data management. - Must support compliance with regulatory standards such as Good Clinical Practice (GCP). - Should include features for subject recruitment and site management. - Not just focused on data entry; must also provide analytical reporting capabilities. - Must enable collaborations among various stakeholders in the research process. - Should offer secure data storage and protection measures to safeguard sensitive patient information.
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