Decentralized and hybrid designs add more complexity to clinical trials, generating vast data volumes from diverse sources. This complexity creates significant data management challenges. In response, sponsors are adopting unified clinical Data and Analytics (D&A) platforms to centralize and standardize clinical data for actionable insights, offering real-time monitoring, predictive analytics, and risk management. These platforms transform disparate datasets into cohesive, structured formats, helping stakeholders detect outliers, predict adverse events, and generate on-demand dashboards and reports.

D&A platforms offer centralized repositories, Risk-based Quality Management (RBQM), and seamless integration with Electronic Health Records (EHRs), wearables, and medical devices. These features improve data access and interoperability, contributing to more informed decision-making and enhanced quality and risk oversight. To meet sponsor needs, clinical D&A platform providers are integrating AI and generative AI to automate repetitive tasks, generate insights, and strengthen quality and risk management.

In this report, we analyze 18 clinical D&A platform providers’ capabilities and offerings. The report empowers buyers to select the right provider for their sourcing considerations and enables providers to benchmark themselves against their competition.

Scope

• Industry: life sciences
• Geography: global

Contents

In this report, we:

• Examine the clinical D&A platform provider landscape
• Assess clinical D&A platform providers on their capabilities and market success-related dimensions

Membership(s)

Clinical Development Technology

Sourcing and Vendor Management