Gartner Research

Hype Cycle for Life Science Research and Development, 2020


Life science CIOs are building fully digital R&D organizations in cooperation with their industry peers. Use this Hype Cycle to select technologies and identify innovations to build digital capabilities, products and therapies that improve patient outcomes and create new therapeutic value.

Published: 13 August 2020

ID: G00450338

Analyst(s): Jeff Smith Michael Shanler

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Quantum Computing in Drug Discovery
    • Digital Trials
    • Digital Life Science Platform (DLSP)
    • Cell and Gene Therapy Platform
    • eSource
    • AI-Enabled Material Informatics
    • Immersive AR/VR/MR Experiences in Life Science
    • Clinical Development Automation
  • At the Peak
    • IoT-Enabled Laboratory
    • Clinical Data Analytics Platforms
    • AI Augmented Safety Vigilance
    • RWE in Clinical Research
    • AI in Clinical Development
    • Wearable Devices for Clinical Trials
    • AI in Early Drug Research
    • Blockchain in Life Sciences
  • Sliding Into the Trough
    • 3D Printed Drugs
    • Augmented Analytics
    • Lab Apps
    • Clinical Trial Data Transparency
    • Genomics Medicine
    • Adaptive Trials
    • 3D Bioprinting for Life Science R&D
    • Accelerated Patient Recruitment
    • SaaS LIMS
    • Enterprise Laboratory Informatics
    • Quality by Design
    • SaaS ELN
    • Semantic Knowledge Graph
    • Compliant GxP Cloud Services
    • SaaS-Regulated CSP
    • RWD-Based Trials
    • Risk-Based and Centralized Monitoring
    • Precompetitive Alliances
  • Climbing the Slope
    • Enterprise Intellectual Property Management
    • Innovation Management Technology for Product Development
    • Text Analytics for Scientific Research
    • Pharma PLM
    • eTMF
    • Clinical Trial Resource Management
    • E-Clinical Platforms
    • Structured Content and Component Authoring
    • ELN
    • Global Regulatory Information Management
  • Entering the Plateau
    • Scientific Analytics Platforms
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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