Top 83 Clinical Research Software SaaS Companies in May 2026
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.
Qureight is a clinical data curation and analytics company that accelerates drug development through AI-powered data curation. The company works with biopharma, contract research organizations, and healthcare institutions.
insitro is a data-driven drug discovery and development company that leverages machine learning and high-throughput biology to transform the way medicines are created to help patients.
Aignostics is an AI-powered precision diagnostics company that focuses on pathology to assist with drug development and clinical research. It specializes in transforming drug development and improving patient outcomes with AI that delivers novel insights for precision medicine.
Developer of eClinical software products designed for clinical studies in all phases and therapeutic areas. The company's software platform and a mobile suite of products provide a web-based electronic data for clinical research applications and also support various processes for clinical research, study design, data collection, management reports, statistical analyses and presentation, enabling study sponsors and contract research organizations (CROs) ton rapidly set-up and conduct clinical trials.
Provider of a cloud-based integrated platform intended to improve ways of leveraging data and information and speeding up decision-making process in the conduct of clinical research and development. The company's cloud-based integrated platform offers self-service data preparation and analytics products including clinical data repository, data management, data integration, statistical computing, advance analytics, reporting and visualization that are regulatory compliant, validated, cloud-based and delivered through alternate models, enabling bio pharmaceutical industry to save 40% time and 50% of their cost within clinical development data to decision processes.
ObjectiveHealth is a leading integrated research provider partnering with physicians and healthcare organizations to establish advanced infrastructure for research programs. The company takes an innovative approach to research aimed at improving patient outcomes at the point-of-care.
AI-powered drug discovery platform for rapid molecule screening and testing, from target identification to lab validation. Automating biotech R&D.
About Optic
Optic started as an AI research team developing high-performance similarity search algorithms. Today our proprietary AI-technology is powering products in multiple industries from blockchain to biotech.
Streamline access, organization, and sharing of medical data to enhance the quality of care and clinical research.
Revenue
$18.6M
Customers
-
Year founded
2015
Funding
-
Team size
169
Growth
-
Inclusion Criteria
- 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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