target audience: TECH BUYER  Publication date: Sep 2024 - Document type: IDC Perspective - Doc  Document number: # AP52574824

IDC Perspective: Future of Health Insurance: Personalization through Predictive Analytics and Machine Learning

By:  Surya Narayan Saha Loading

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Table of Contents


  • Executive Snapshot

    • Figure: Executive Snapshot: Transforming Health Insurance with Analytics

  • Situation Overview

    • Technology Snapshot

    • Predictive Analytics

    • Key Applications in Health Insurance

    • Machine Learning

    • Key Applications in Health Insurance

    • Integration of Predictive Analytics and Machine Learning

    • Challenges and Considerations

    • Figure: Technology Overview and Potential Use Cases for Predictive Analytics and Machine Learning in Health Insurance

    • Benefits of Predictive Analytics and Machine Learning in Health Insurance

    • Case Study 1: Large Life Insurer Streamlines Sales and Operations Across Nine Markets in Asia with Automation Solution

    • Figure: Five Steps in the Automation Implementation Process by the Large Life Insurer

    • Case Study 2: Transforming Healthcare in Asia: A Leading Insurer's Launch of Health Insurtech

    • Figure: Outcomes that Added Value to the Healthcare Value Chain

    • Challenges and Considerations

    • Market Trends and Insights

    • Vendor Market Snapshot

    • Figure: Key Vendors in Predictive Analytics and Machine Learning for APEJC Insurance by Revenue Growth

    • Vendor Strengths and Market Positioning

  • Advice for the Technology Buyer

  • Learn More

    • Related Research

    • Synopsis