Gartner Research

Hype Cycle for Analytics and Business Intelligence, 2020


This Hype Cycle will help data and analytics leaders evaluate the maturity of innovations across the analytics and BI sector. Key trends include human augmentation, consumerization of analytics and BI platforms, and a focus on enabling organizations to make appropriate use of data and analytics.

Published: 05 August 2020

ID: G00444807

Analyst(s): Austin Kronz Jim Hare Peter Krensky

Table Of Contents


  • What You Need to Know
  • The Hype Cycle
  • The Priority Matrix
  • Off the Hype Cycle
  • On the Rise
    • Immersive Analytics
    • Analytics Catalog
    • Analytics Stewardship
    • Multiexperience Analytics
    • Conversational Chatbots for Analytics
    • Data for Good
    • Data Literacy
  • At the Peak
    • Decision Intelligence
    • Continuous Intelligence
    • Natural Language Generation (NLG)
    • Edge Analytics
    • Data Storytelling
    • Digital Ethics
    • Explainable AI
    • Data Catalog
    • Prescriptive Analytics
  • Sliding Into the Trough
    • Augmented Analytics
    • Natural Language Query
    • Data and Analytics Governance
    • Embedded Analytics
    • Graph Analytics
    • Event Stream Processing
    • Cloud Analytics
    • Indoor Location Intelligence
  • Climbing the Slope
    • Social Analytics
    • Outdoor Location Intelligence
    • In-DBMS Analytics
    • Predictive Analytics
    • Text Analytics
  • Entering the Plateau
    • Logical Data Warehouse
    • Data and Analytics Services
  • Appendixes
    • Hype Cycle Phases, Benefit Ratings and Maturity Levels

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