市場調査レポート

保険産業向け予測分析市場の動向

Exploring the Predictive Analytics Marketplace for the Insurance Industry

発行 Ovum, Ltd. 商品コード 277794
出版日 ページ情報 英文 20 Pages
納期: 即日から翌営業日
価格
本日の銀行送金レート: 1USD=102.12円で換算しております。
Back to Top
保険産業向け予測分析市場の動向 Exploring the Predictive Analytics Marketplace for the Insurance Industry
出版日: 2013年07月18日 ページ情報: 英文 20 Pages
概要

保険会社にとって、利益をあげる市場成長の源を探し当てることが徐々に難しくなってきております。役立ちそうなデータは増加しているもののそれを活かす新たなツールが求められております。

当レポートでは、保険産業向け予測分析市場の動向について調査分析を行い、市場動向、ベンダーの選定、主要企業などについてまとめ、概略下記の構成で取り上げております。

第1章 サマリー

  • 発展要因
  • Ovumの見解
  • 主なメッセージ

第2章 ますます複雑になるニーズに対応できる適切なベンダーを選択する

  • 将来を予測することは難しい
  • 予測分析ベンダーのスキルやgo-to-marketアプローチは様々で幅広い
  • 保険会社が予測分析ベンダーを選定する際に考慮すべき5つの点

第3章 主な予測分析ベンダー9社

  • Detica NetReveal
  • EagleEye Analytics
  • Earnix
  • FICO
  • IBM
  • LexisNexis
  • SAS
  • Teradata
  • Valen Analytics

第4章 提案

  • 予測分析ベンダーを選定する保険会社への提案
  • ベンダーへの提案

付録

図表

目次
Product Code: IT004-000370

Abstract

Introduction

Insurers are finding it increasingly difficult to identify sources of profitable market growth, rein in their claim expenses, and comply efficiently with stricter regulations. They can turn to a growing number of realtime and near-realtime data streams for help, but they need tools beyond those that are traditionally used by the actuarial department. Predictive analytics vendors can help insurers address their challenges.

Highlights

  • Predictive analytics enables insurers to understand and manage the future.
  • The predictive analytics technology vendor marketplace is varied.
  • Insurers should consider five attributes when choosing a predictive analytics technology vendor: essence of offering, scope of offering, insurance lines of business supported, types of offering, and deployment approach.

Features Benefits

  • Profiles nine different technology vendors offering predictive analytics capabilities.
  • Identifies five attributes that insurers should consider when choosing a predictive analytics vendor.

Questions Answers

  • What are the different types of predictive analytic capabilities offered by the nine vendors profiled in this report?
  • What are the five key attributes that insurers should consider when choosing a predictive analytics vendor?

About Ovum, Ltd.

Table of Contents

Headings

  • SUMMARY
    • Catalyst
    • Ovum view
    • Key messages
  • CHOOSING THE RIGHT VENDOR TO MEET INCREASINGLY COMPLEX NEEDS
    • It is difficult to predict the future
    • There is a broad spectrum of predictive analytics vendors with different skillsets and go-to-market approaches
    • Insurers should consider five attributes when choosing a predictive analytics vendor
  • NINE PREDICTIVE ANALYTICS VENDORS
    • Detica NetReveal
    • EagleEye Analytics
  • u00a0 u00a0
    • Earnix
    • FICO
    • IBM
    • LexisNexis
    • SAS
    • Teradata
    • Valen Analytics
  • RECOMMENDATIONS
    • Recommendations for insurance companies selecting a predictive analytics vendor
    • Recommendations for vendors
  • APPENDIX
    • Further reading
    • Methodology
    • Author
    • Ovum Consulting
    • Disclaimer

Figures

  • Figure 1: Detica NetReveal's insurance predictive analytics offering
  • Figure 2: EagleEye Analytics' insurance predictive analytics offerings
  • Figure 3: Earnix's insurance predictive analytics offerings
  • Figure 4: FICO's insurance predictive analytics offerings
  • Figure 5: IBM's insurance predictive analytics offerings
  • Figure 6: LexisNexis' insurance predictive analytics offerings
  • Figure 7: SAS's insurance predictive analytics offerings
  • Figure 8: Teradata's insurance predictive analytics offerings
  • Figure 9: Valen Analytics' insurance predictive analytics offerings
Back to Top