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Showing 24 results
  • Thematic Report
    May 04, 2026

    The global Clinical Research Organization (CRO) market is undergoing a transformation, shaped by rising clinical trial complexity, increasing regulatory requirements, and growing demand for faster, more efficient drug development. CROs continue to play a pivotal role…
  • State of the Market
    Oct. 01, 2025

    The surge in case volumes, more stringent regulatory demands, and therapeutic areas’ rising complexities are significantly transforming pharmacovigilance (PV). As the industry adapts to more tailored reporting requirements and longer patient monitoring periods, enterprises are under…
  • Viewpoint
    April 28, 2026

    The global safety database market is at an inflection point, driven by increasing complexities in Pharmacovigilance (PV) operations, growing regulatory expectations, and rapid expansion of data sources such as real-world evidence, digital health tools, and patient-generated…
  • State of the Market
    Feb. 25, 2026

    The clinical development technology market transform as life sciences enterprises increasingly rely on digital and AI-enabled solutions to manage rising costs, complex regulatory demands, and longer development cycles. This State of the Market report outlines how…
  • Provider Compendium
    Sep. 16, 2025

    Pharmacovigilance (PV) operations have become a strategic priority for life sciences enterprises facing heightened regulatory scrutiny, evolving safety standards, and growing complexity across global markets. This report provides an in-depth assessment of 12 leading PV service…
  • PEAK Matrix®
    July 16, 2025

    In recent years, life sciences enterprises have reprioritized and overhauled their R&D investments. They now focus on streamlining their pipelines and shifting toward new and large molecules. This transformation has compelled aggressive cost containment initiatives, prompting…
  • Tech Launch Perspective
    Feb. 26, 2026

    Life sciences enterprises are under pressure to accelerate research, improve evidence generation, and operationalize AI across clinical and commercial functions. Fragmented data estates, evolving regulatory requirements, and the growing importance of real-world and genomic data are…
  • Viewpoint
    Oct. 29, 2024

    The clinical development landscape is rapidly evolving, with hybrid trial approaches and the growing use of RWD/RWE. Clinical trial sponsors are increasingly challenged to manage the vast volume of data generated during multiple, simultaneously running trials.…
  • PEAK Matrix®
    Aug. 19, 2025

    Clinical Data Management (CDM) is rapidly transforming as life sciences enterprises navigate increasing trial complexity, heightened regulatory scrutiny, and the expansion of decentralized and real-world data sources. CDM now plays a strategic role in enabling faster,…
  • PEAK Matrix®
    Nov. 25, 2025

    With global and adaptive clinical trials’ rising complexities, life sciences organizations are increasingly adopting intelligent Randomization and Trial Supply Management (RTSM) platforms to enhance operational efficiency, ensure regulatory compliance, and safeguard patient integrity. RTSM systems have…
  • Provider Compendium
    Feb. 28, 2025

    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…
  • Provider Compendium
    Sep. 30, 2025

    In recent years, life sciences enterprises have reoriented their R&D investments, prioritizing pipeline efficiency and a strategic focus on large and novel molecules. This shift has intensified efforts around cost containment and created a stronger need…
  • Provider Compendium
    Nov. 06, 2025

    Clinical Data Management (CDM) operations have become a strategic priority for life sciences enterprises as they face growing trial complexities, expanding data volumes, and the integration of decentralized and real-world data sources. These dynamics are reshaping…
  • PEAK Matrix®
    Nov. 12, 2024

    Due to decentralized and hybrid designs, the growing clinical trial complexity generates vast data volumes from diverse sources and creates significant data management challenges. In response, sponsors are increasingly employing unified clinical data and analytics (D&A)…
  • Provider Compendium
    Dec. 17, 2025

    Life sciences organizations are increasingly prioritizing automation, configurability, and real-time visibility to support modern clinical trial requirements. As adaptive designs, decentralized models, and global multi-protocol studies become more prevalent, the role of Randomization and Trial Supply…
  • PEAK Matrix®
    Sep. 01, 2025

    eCOA solutions are transforming clinical trials by enabling accurate, real-time capture of patient, clinician, and caregiver-reported outcomes through smartphones, tablets, web portals, and provisioned devices. These platforms are redefining how clinical trials capture participant-reported data by…
  • Provider Compendium
    Nov. 25, 2025

    Life sciences enterprises are accelerating their shift to modern digital platforms to meet evolving demands for agility, patient-centricity, and regulatory compliance. Traditional ERP and CRM systems are giving way to cloud-based platforms that enable intelligent, connected…
  • Viewpoint
    March 26, 2024

    This report underscores synthetic data’s vital role in addressing data challenges during AI initiatives. It highlights the significance of leveraging synthetic data to train and optimize AI models effectively. Additionally, it explores best practices for using…
  • PEAK Matrix®
    July 24, 2023

    The pandemic accelerated the need to extract value from data as it led to a substantial increase in data generation from various clinical sources, characterized by high veracity, variety, and volume. As a result, there has…
  • Provider Compendium
    Aug. 29, 2023

    The pandemic accelerated the need to extract value from data due to the substantial increase in data generation from various clinical sources, characterized by high veracity, variety, and volume. As a result, the adoption of clinical…

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