Gartner Research

Hype Cycle for Life Science Research and Development, 2016

Published: 19 July 2016

ID: G00304001

Analyst(s): Michael Shanler


R&D CIOs are challenged with prioritizing IT investments across a wide range of technologies to help develop new drugs, devices and therapies. To be effective, leaders must augment a very diverse portfolio of scientific, laboratory and information technologies across a shifting environment.

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • On the Rise
    • IoT-Enabled Laboratory
    • Wearable Devices for Clinical Trials
    • RWE for Clinical Trials
    • Nanomedicine
    • Centralized Monitoring/RBM
    • Smart Data Discovery
    • Mobile Laboratory Applications
    • Proactive Search
  • At the Peak
    • Adaptive Trials
    • Clinical Trial Data Transparency
    • SaaS-Regulated EDMS
    • Genomics Medicine
    • NLP
    • Enterprise Laboratory Informatics
    • Machine Learning
    • 3D Bioprinting for Life Science R&D
    • Data Lakes
    • Cloud-Based Drug Discovery Platform
    • 3D Printing of Medical Devices
    • Patient Communities for Trial Recruitment
    • SaaS-LIMS
    • Cloud ELN
  • Sliding Into the Trough
    • Semantic Knowledge Graphing
    • Compliant GxP Cloud
    • Precompetitive Alliances
    • Big Data in R&D
    • EHR-Based Clinical Studies
    • Innovation Management Technology for Product Development
    • Enterprise IP Management
    • Pharma PLM
    • Scientific Text Analytics and Annotators
  • Climbing the Slope
    • Clinical Resource Management
    • E-Clinical
    • eTMF
    • Structured Content and Product Label Management
    • Electronic Laboratory Notebook
    • Formula and Recipe Management
    • Global Regulatory Information Management
    • Scientific Analytics
    • Medical Devices — PLM
  • Entering the Plateau
    • Global Pharmacovigilance/Safety/AERS
    • LIMS
    • ePRO, E-Patient Diaries and eCOA
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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