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Frost Radar

Artificial Intelligence-Enabled Clinical Trials, 2026

A Benchmarking System to Spark Companies to Action – Innovation That Fuels New Deal Flow and Growth Pipelines

Download our Complimentary Frost Radar

Stay ahead in the rapidly evolving clinical research landscape with our Frost Radar™, a data-driven benchmarking analysis designed to spotlight the innovators reshaping trial design, execution, and outcomes. As clinical pipelines surge and more than 7,000 molecules are currently in development, organizations face mounting pressure to accelerate recruitment, improve adherence, and reduce costs.

This Frost Radar™ reveals how AI-powered platforms are transforming every stage of the clinical trial lifecycle, from protocol optimization to patient identification, while highlighting the companies leading the charge in growth and innovation. The analysis draws on two major indices and ten analytical ingredients to evaluate market leaders’ strategies, performance, and future potential.

Download the Frost Radar™ to uncover which vendors are outperforming competitors, how emerging technologies like digital twins and real-world data are redefining trial success, and where the next wave of opportunity lies.

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AI transforms trial design and recruitment

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300,000+ active trials worldwide

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Digital twins improve outcomes

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Benchmark leaders and disruptors

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60 YEARS OF INSIGHTS

Our Global Initiatives

Empower innovation, echoing the voices of emerging technologies and companies, shaping progressive pathways in a dynamic market.
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ABOUT THE ANALYST

Aarti Natu Chitale

With over 15 years of experience, Aarti leads the Contract Research Services domain, encompassing peripheral and ancillary service segments, including tech-enabled R&D, eClinical solution providers, central labs, and related ecosystems.

About Our Firm

Frost & Sullivan

Frost & Sullivan has partnered with clients for more than 60 years, developing growth strategies centered on innovation, disruptive technologies, emerging markets, Mega Trends, and new business models.

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