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Top 52 Pharma and Biotech Software SaaS Companies in May 2026

As of May 2026, there are 52 SaaS companies in Pharma and Biotech Software. They have combined revenues of $856.1M and employ 6.1K people. They have raised $1.3B and serve 850M customers combined.

Pharma and Biotech Software encompasses a range of software solutions specifically designed to meet the needs of the pharmaceutical and biotechnology industries. These tools facilitate activities such as drug discovery, development, regulatory compliance, clinical trials, and post-market surveillance. By streamlining workflows and improving data management, these software solutions can enhance productivity and support the innovation process within these highly regulated sectors. Typical features of Pharma and Biotech Software include data analytics, laboratory information management systems (LIMS), electronic lab notebooks (ELN), clinical trial management systems (CTMS), and regulatory compliance tools. Users commonly include researchers, clinical trial managers, regulatory affairs professionals, and quality assurance teams, all focused on ensuring that products meet rigorous standards for safety and efficacy. As the industry continues to evolve, there is a growing emphasis on integrating advanced technologies such as artificial intelligence and machine learning to improve decision-making processes and accelerate drug development timelines. These innovations not only help organizations maintain competitiveness but also foster collaboration across various departments and stakeholders involved in the drug development lifecycle.

Companies
52
Revenue
$856.1M
Funding
$1.3B
Employees
6.1K

Filters

Sorting: Highest -> Lowest

Filters

Top Pharma and Biotech Software Companies

Showing 10 of 1 companies ranked by annual revenue.

1
Benchling

San Francisco, California, United States

life science R&D platform

Revenue
$200M
Customers
850M
Year founded
2012
Funding
$411.9M
Team size
793
Growth
-

Inclusion Criteria

- Software must support drug discovery and development processes. - Must provide tools for regulatory compliance and quality assurance. - Should enable efficient data management and analytics capabilities. - Must cater to end users such as researchers, clinical trial managers, and regulatory professionals. - Not just focus on general business functions; must cater specifically to pharma and biotech workflows.