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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.

Companies
83
Revenue
$1.5B
Funding
$2.3B
Employees
7.6K

Filters

Sorting: Highest -> Lowest

Filters

Top Clinical Research Software Companies

Showing 10 of 27 companies ranked by annual revenue.

1
Retinai

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.

Revenue
$4.7M
Customers
-
Year founded
2017
Funding
-
Team size
43
Growth
-
2
Miracle

San Francisco, California, United States

Accelerate clinical trials with actionable insights from your data

Revenue
$4.2M
Customers
-
Year founded
2022
Funding
-
Team size
28
Growth
-
3
YUNU

Cary, North Carolina, United States

Yunu provides innovative imaging workflow and data management solutions designed to optimize clinical trial processes. By integrating advanced technologies, Yunu enables life sciences organizations to streamline imaging workflows, improve accuracy, and accelerate timelines. Yunu’s platform supports clinical trials across various therapeutic areas, offering scalability and flexibility for organizations of all sizes.

Revenue
$4M
Customers
-
Year founded
-
Funding
-
Team size
36
Growth
-
4
Reliant AI

Quebec, Canada

AI -Powered Research for the Life Sciences

Revenue
$3.9M
Customers
-
Year founded
-
Funding
-
Team size
35
Growth
-
5
Cremeglobal

Dublin, Ireland

Data Science in Life Sciences

Revenue
$3.5M
Customers
60
Year founded
2005
Funding
-
Team size
25
Growth
16.35%
6
Discngine

Paris, France

Developer of life sciences research software and applications. The company's software-as-a-service, plate based assay data acquisition platform facilitates discovery of of innovative molecules, conceives high content screening experiments analyses, organizes and stores experimental results from a large variety of sources and provides primary and secondary screening of results and designs dose response screening runs, enabling pharmaceutical and cosmetics firms to manage and visualize data and speed up the decision-making processes.

Revenue
$3.4M
Customers
-
Year founded
2004
Funding
$1.3M
Team size
65
Growth
101.63%
7
Strategikon Pharma

San Rafael, California, United States

Developer of disruptive software designed to cater to the needs of business management of pharmaceutical clinical trials. The company's software offers planning, outsourcing, financial and contract management of clinical trials, enabling businesses to generate unprecedented insights and analytics into their clinical portfolio's and providers' performance.

Revenue
$3.2M
Customers
-
Year founded
2017
Funding
-
Team size
28
Growth
48%
8
VivoSense

Newport Coast, California, United States

Provider of software and data analysis services intended for research and clinical trials. The company's data analysis and software specialize in wearable sensor physiological monitoring solutions, enabling pharmaceutical companies and researchers to get data analyzed at a low cost for their clinical trials and research.

Revenue
$3.1M
Customers
-
Year founded
2010
Funding
-
Team size
47
Growth
89.94%
9
Ripple Science

Ann Arbor, Michigan, United States

Provider of SaaS software that is designed to facilitate the recruitment and management of research participants for clinical studies. The company's software offers better recruitment and retention, centralized & intuitive project management, fast and searchable participant registry, recruitment campaign management, among other, providing users with access to a dynamic registry, which accelerates time to study completion, lowers fail risk, lowers costs, and improves research productivity.

Revenue
$3M
Customers
271.9K
Year founded
2016
Funding
-
Team size
23
Growth
11.71%
10
VeriSIM Life

San Francisco, California, United States

Developer of disease-specific simulation models designed to replace animal drug testing by using artificial intelligence. The company's models increase human life expectancy through intelligence driven biosystem simulations to truly personalize patient treatment, enabling pharmaceutical scientists to improve the accuracy and efficiency of drug development and make personalized health care a reality.

Revenue
$3M
Customers
-
Year founded
2017
Funding
$21.7M
Team size
26
Growth
32.97%

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.