サンプル依頼リスト カート
  • English
  • Korean
  • Traditional Chinese
  • Simplified Chinese
デフォルト表紙
市場調査レポート
商品コード
1768671

保険アナリティクスの世界市場：コンポーネント別、展開モード別、アプリケーション別、エンドユーザー別、地域別、機会、予測、2018年～2032年

Global Insurance Analytics Market Assessment, By Component, By Deployment Mode, By Application, By End-user, By Region, Opportunities and Forecast, 2018-2032F

出版日
ページ情報
英文 220 Pages
納期
3～5営業日
カスタマイズ可能
価格
価格表記: USDを日本円(税抜)に換算
本日の銀行送金レート: 1USD=148.47円
保険アナリティクスの世界市場：コンポーネント別、展開モード別、アプリケーション別、エンドユーザー別、地域別、機会、予測、2018年～2032年
出版日: 2025年07月11日
発行: Markets & Data
ページ情報: 英文 220 Pages
納期: 3～5営業日
GIIご利用のメリット
  • 全表示
  • 概要
  • 図表
  • 目次
概要

世界の保険アナリティクス市場は、2025～2032年の予測期間中にCAGR 11.12％を記録し、2024年の140億2,000万米ドルから2032年には325億9,000万米ドルに成長すると予測されます。世界の保険アナリティクス市場は、リスク評価、不正検知、顧客パーソナライゼーションを強化するためにビッグデータとAI技術の採用が増加していることが背景にあります。データ主導の意思決定に対する需要の高まり、規制遵守要件、業務効率化の必要性が市場成長をさらに後押ししています。さらに、インシュアテック新興企業の台頭、IoTデバイスの統合、クラウドベースの分析ソリューションの拡大が市場拡大に寄与しています。新興市場と予測分析へのシフトも、業界の将来形成に重要な役割を果たしています。

競合情勢が激化する保険業界では、企業が差別化を図り、世界マーケットでより強固な地位を確保しようとする中で、高度な分析ソリューションへの需要が高まっています。企業は、増大するリスク・エクスポージャーに対処し、災害対応能力を強化し、進化する規制基準へのコンプライアンスを確保するために、拡張可能で効率的な分析プラットフォームを導入しています。さらに、消費者が24時間いつでも複数の保険会社からオンラインで即座に見積もりを入手し、ニーズに合った保険を提供できるようになったことも、競争の激化に拍車をかけています。このようなダイナミクスは、業界参入企業の保険アナリティクスの導入を加速させ、市場拡大の重要な促進要因となっています。

例えば、2025年5月、IBMクラウドは、変化する規制状況に対応したAIトランスフォーメーションを推進する目的で、一連の新たなパートナーシップと新サービスを発表しました。これらのソリューションは、安全でコンプライアンスに準拠したインフラを使用しながら、保険会社に予測分析とリスクに関する高度な機能を提供し、保険全体のデータ主導型イノベーションを支えるクラウドプロバイダーの重要性を示しています。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

  • 回答者の人口統計
  • 保険アナリティクスツールの認知度
  • 保険データ分析における主な課題
  • 推奨ベンダーと選定基準
  • データセキュリティとコンプライアンスに関する懸念

第5章 世界の保険アナリティクス市場の展望、2018年～2032年

  • 市場規模分析と予測
    • 金額別
  • 市場シェア分析と予測
    • コンポーネント別
      • ソフトウェア
      • サービス
    • 展開モード別
      • オンプレミス
      • クラウド
    • アプリケーション別
      • クレーム管理
      • リスク管理
      • 顧客管理とパーソナライゼーション
      • 不正行為検出
      • その他
    • エンドユーザー別
      • 保険会社
      • サードパーティ管理者
      • ブローカーと代理店
      • その他
    • 国別シェア
      • 北米
      • 欧州
      • アジア太平洋
      • 南米
      • 中東・アフリカ
  • 2024年市場マップ分析
    • コンポーネント別
    • 展開モード別
    • アプリケーション別
    • エンドユーザー別
    • 国別シェア

第6章 北米の保険アナリティクス市場の展望、2018年～2032年

  • 市場規模分析と予測
    • 金額別
  • 市場シェア分析と予測
    • コンポーネント別
      • ソフトウェア
      • サービス
    • 展開モード別
      • オンプレミス
      • クラウド
    • アプリケーション別
      • クレーム管理
      • リスク管理
      • 顧客管理とパーソナライゼーション
      • 不正行為検出
      • その他
    • エンドユーザー別
      • 保険会社
      • サードパーティ管理者
      • ブローカーと代理店
      • その他
    • 国別シェア
      • 米国
      • カナダ
      • メキシコ
  • 国別市場評価
    • 米国の保険アナリティクス市場の展望、2018年～2032年
      • 市場規模分析と予測
      • 市場シェア分析と予測
    • カナダ
    • メキシコ

第7章 欧州の保険アナリティクス市場の展望、2018年～2032年

  • ドイツ
  • フランス
  • イタリア
  • 英国
  • ロシア
  • オランダ
  • スペイン
  • トルコ
  • ポーランド

第8章 アジア太平洋の保険アナリティクス市場の展望、2018年～2032年

  • インド
  • 中国
  • 日本
  • オーストラリア
  • ベトナム
  • 韓国
  • インドネシア
  • フィリピン

第9章 南米の保険アナリティクス市場の展望、2018年～2032年

  • ブラジル
  • アルゼンチン

第10章 中東・アフリカの保険アナリティクス市場の展望、2018年～2032年

  • サウジアラビア
  • アラブ首長国連邦
  • 南アフリカ

第11章 需要供給分析

第12章 バリューチェーン分析

第13章 ポーターのファイブフォース分析

第14章 PESTLE分析

第15章 市場力学

  • 市場促進要因
  • 市場の課題

第16章 市場動向と発展

第17章 サブスクリプションモデル（使用ベース vs. 固定）

第18章 ケーススタディ

第19章 競合情勢

  • 市場リーダー上位5社の競合マトリックス
  • トップ5社のSWOT分析
  • 市場トップ10社の主要企業の情勢
    • SAS Institute Inc.
    • Salesforce, Inc.
    • International Business Machines Corporation（IBM）
    • Oracle Corporation
    • Guidewire Software, Inc.
    • Microsoft Corporation
    • Verisk Analytics, Inc.
    • Tableau Software, LLC
    • OpenText Corporation
    • Palantir Technologies Inc.

第20章 戦略的提言

第21章 調査会社について・免責事項

図表

List of Tables

  • Table 1. Competition Matrix of Top 5 Market Leaders
  • Table 2. Mergers & Acquisitions/ Joint Ventures (If Applicable)
  • Table 3. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

  • Figure 1. Global Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 2. Global Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 3. Global Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 4. Global Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 5. Global Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 6. Global Insurance Analytics Market Share (%), By Country share, 2018-2032F
  • Figure 7. North America Insurance Analytics Market, By Value, In USD Billion, 20182032F
  • Figure 8. North America Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 9. North America Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 10. North America Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 11. North America Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 12. North America Insurance Analytics Market Share (%), By Country, 2018-2032F
  • Figure 13. United States Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 14. United States Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 15. United States Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 16. United States Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 17. United States Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 18. Canada Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 19. Canada Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 20. Canada Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 21. Canada Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 22. Canada Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 23. Mexico Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 24. Mexico Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 25. Mexico Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 26. Mexico Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 27. Mexico Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 28. Europe Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 29. Europe Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 30. Europe Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 31. Europe Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 32. Europe Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 33. Europe Insurance Analytics Market Share (%), By Country, 2018-2032F
  • Figure 34. Germany Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 35. Germany Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 36. Germany Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 37. Germany Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 38. Germany Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 39. France Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 40. France Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 41. France Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 42. France Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 43. France Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 44. Italy Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 45. Italy Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 46. Italy Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 47. Italy Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 48. Italy Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 49. United Kingdom Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 50. United Kingdom Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 51. United Kingdom Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 52. United Kingdom Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 53. United Kingdom Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 54. Russia Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 55. Russia Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 56. Russia Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 57. Russia Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 58. Russia Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 59. Netherlands Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 60. Netherlands Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 61. Netherlands Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 62. Netherlands Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 63. Netherlands Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 64. Spain Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 65. Spain Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 66. Spain Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 67. Spain Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 68. Spain Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 69. Turkey Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 70. Turkey Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 71. Turkey Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 72. Turkey Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 73. Turkey Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 74. Poland Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 75. Poland Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 76. Poland Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 77. Poland Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 78. Poland Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 79. South America Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 80. South America Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 81. South America Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 82. South America Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 83. South America Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 84. South America Insurance Analytics Market Share (%), By Country, 2018-2032F
  • Figure 85. Brazil Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 86. Brazil Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 87. Brazil Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 88. Brazil Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 89. Brazil Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 90. Argentina Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 91. Argentina Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 92. Argentina Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 93. Argentina Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 94. Argentina Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 95. Asia-Pacific Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 96. Asia-Pacific Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 97. Asia-Pacific Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 98. Asia-Pacific Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 99. Asia-Pacific Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 100. Asia-Pacific Insurance Analytics Market Share (%), By Country, 2018-2032F
  • Figure 101. India Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 102. India Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 103. India Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 104. India Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 105. India Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 106. China Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 107. China Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 108. China Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 109. China Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 110. China Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 111. Japan Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 112. Japan Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 113. Japan Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 114. Japan Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 115. Japan Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 116. Australia Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 117. Australia Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 118. Australia Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 119. Australia Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 120. Australia Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 121. Vietnam Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 122. Vietnam Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 123. Vietnam Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 124. Vietnam Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 125. Vietnam Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 126. South Korea Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 127. South Korea Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 128. South Korea Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 129. South Korea Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 130. South Korea Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 131. Indonesia Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 132. Indonesia Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 133. Indonesia Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 134. Indonesia Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 135. Indonesia Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 136. Philippines Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 137. Philippines Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 138. Philippines Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 139. Philippines Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 140. Philippines Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 141. Middle East & Africa Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 142. Middle East & Africa Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 143. Middle East & Africa Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 144. Middle East & Africa Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 145. Middle East & Africa Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 146. Middle East & Africa Insurance Analytics Market Share (%), By Country, 2018-2032F
  • Figure 147. Saudi Arabia Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 148. Saudi Arabia Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 149. Saudi Arabia Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 150. Saudi Arabia Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 151. Saudi Arabia Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 152. UAE Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 153. UAE Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 154. UAE Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 155. UAE Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 156. UAE Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 157. South Africa Insurance Analytics Market, By Value, In USD Billion, 2018-2032F
  • Figure 158. South Africa Insurance Analytics Market Share (%), By Component, 2018-2032F
  • Figure 159. South Africa Insurance Analytics Market Share (%), By Deployment Mode, 2018-2032F
  • Figure 160. South Africa Insurance Analytics Market Share (%), By Application, 2018-2032F
  • Figure 161. South Africa Insurance Analytics Market Share (%), By End-user, 2018-2032F
  • Figure 162. By Component Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 163. By Deployment Mode Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 164. By Application Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 165. By End-user Map-Market Size (USD Billion) & Growth Rate (%), 2024
  • Figure 166. By Country Share Map-Market Size (USD Billion) & Growth Rate (%), 2024
目次
Product Code: MX13604

Global insurance analytics market is projected to witness a CAGR of 11.12% during the forecast period 2025-2032, growing from USD 14.02 billion in 2024 to USD 32.59 billion in 2032. The global insurance analytics market is driven by the increasing adoption of big data and AI technologies to enhance risk assessment, fraud detection, and customer personalization. The growing demand for data-driven decision-making, regulatory compliance requirements, and the need for operational efficiency further propel market growth. Additionally, the rise of insurtech startups, the integration of IoT devices, and the expansion of cloud-based analytics solutions contribute to market expansion. Emerging markets and the shift toward predictive analytics also play a significant role in shaping the industry's future.

In an increasingly competitive insurance landscape, the demand for advanced analytical solutions is intensifying as organizations seek to differentiate themselves and secure a stronger position in the global marketplace. Companies are embracing scalable, efficient analytics platforms to address mounting risk exposures, enhance disaster response capabilities, and ensure compliance with evolving regulatory standards. Moreover, heightened competition is fueled by consumers' access to instantaneous online quotations and tailored insurance offerings from multiple providers around the clock. These dynamics are collectively accelerating the adoption of insurance analytics among leading industry participants and represent key drivers of market expansion.

For instance, in May 2025, IBM Cloud announced a series of new partnerships and new offerings with the purpose of advancing AI transformation in response to the changing regulatory context. These solutions provide insurers with advanced capabilities in predictive analytics and risk, while still using secure and compliant infrastructure, demonstrating the importance of cloud providers in supporting data-driven innovation across insurance.

Increased Implementation of AI and ML Drives Global Insurance Analytics Market Demand

The rise in application of Artificial Intelligence (AI) and Machine Learning (ML), further unlocked demand for insurance analytics in the global market. Insurers are using AI and ML technology for better data processing capabilities, creating better risk assessments, detecting fraud, and assessing claims. AI and ML models can sort through vast amounts of structured and unstructured data and continuously assess risk in a timeframe that allows insurance companies to make faster and increasingly immediate decisions based on data. This not only enhances operational processes but also allows them to design personalized insurance products and create a system of dynamic pricing. As competition heats up and customer expectations rise, it's no longer a choice for insurance analytics to deploy AI and ML technology; it is simply how to innovate and enhance profitability and will either be a departure from business together in the insurance industry, or long-term sustainable innovation.

For example, in May 2025, Axa S.A. and Allianz SE adopted AI at scale in the insurance sector to evaluate across four pillars-Talent, Innovation, Leadership, and Transparency-both insurers scored within the top five, demonstrating sustained, and strategic investment in AI over multiple years.

Rising Demand for Data-Driven Risk Assessment and Fraud Detection

As insurance claims continue to grow in complexity and fraud is constantly evolving, insurers are looking to data-based analytics as a new pillar for risk management. Using data-based tools to better identify outliers, understanding the risk profiles of their policyholders better, performing predictive modeling to lower opportunities for fraud before it happens, are just a few examples of the advantages afforded through data-based tools that insurers can leverage. The advanced reasoning that data-based tools enable will help insurers not only reduce manual errors in processing, increase efficiency and speed in claims investigations, and create better capacity in underwriting. In the end, using data-based analytics is more than a way to mitigate loss; it is an opportunity to enhance efficiency, improve the decision-making process across the insurance value chain.

For example, in September 2024, Sapiens International Corporation entered a partnership with Addresscloud to enhance geographic risk assessment capabilities for insurers. This collaboration integrates Addresscloud's precise geocoding and property data services with Sapiens' software solutions, aiming to improve the accuracy of underwriting decisions and streamline claims management processes. The partnership is designed to equip insurers with more reliable risk insights, ultimately providing them with a competitive edge in the market.

Risk Management Analytics Holds the Largest Global Insurance Analytics Market Share

Risk management analytics in the insurance industry has emerged as a key enabler of change in the way organizations evaluate, manage, and respond to risk. In an extremely complicated and data-driven environment, the insurance market can be getting more discerning in terms of the opportunities and risks it accepts. The industry has traditionally relied on actuarial models and historical data to stack rank threats, but now the insurance sector has started to capitalize on technology, particularly Artificial Intelligence (AI), Machine Learning (ML), and predictive analytics, in their risk evaluations. This allows an organization to spot risks it may not have known about, as well as provide an opportunity to create proactive action plans, and to also ultimately make quicker decisions that are more informed. The increase in risk management analytics also gives the insurer an edge in the global market that is evolving at light speed. There is a great level of enthusiasm with organizations taking on digital transformation, including a large insurer in Canada developing their digital products and services business unit, of which risk management analytics is going to play a role. The increase of risk management analytics represents a major shift in how the insurance industry can become smarter and more data-driven around the globe.

For example, in October 2024, LexisNexis introduced Life Smart Path, a new analytics solution for U.S. life insurers. Purpose-built to support early-stage underwriting, Life Smart Path uses real-time data to provide insights into risk and accelerate decision-making. By covering risk more accurately at the point of policy issuance, LexisNexis demonstrates how advanced analytics can enhance risk management capabilities in the insurance industry.

North America Dominates the Global Insurance Analytics Market Size

North America has the largest market share of the global insurance analytics market due to its early adoption and significant use of advanced analytics, a wealth of advanced technologies, an established insurance ecosystem, and supportive regulations. North American insurers have invested heavily in AI/ML-driven underwriting, risk modeling, fraud detection, and claims optimization tools for their processors. Many of the analytics vendors are solidifying the participant's role as the analytical leader in the insurance industry. Also, North America uses the NAIC and state regulations surrounding privacy and compliance as a precondition to using analytics to optimize and better manage risk but will often use analytics as a foundation to raise the level of trust and cut through competition.

For example, in June 2025, SAS Institute Inc. announced the integration of Azure Confidential Computing (in collaboration with Microsoft and AMD) into its SAS Viya platform. This initiative empowers insurance companies to perform advanced risk modeling, underwriting analytics, and fraud detection on fully encrypted data, even while its being processed in cloud memory. The solution uses AMD's SEV-SNP technology to ensure sensitive customer and risk data remains protected during active computation.

Key Players Landscape and Outlook

The global insurance analytics market is characterized by the presence of several key players that are leveraging advanced technologies to transform how insurers manage risk, streamline operations, and enhance customer experience. Companies are actively innovating and providing comprehensive, analytics-driven platforms that use both traditional and advanced technology tools that mitigate the threat of becoming obsolete using unviable channels. Specifically, they are implementing tools and technology to identify risk blessings, battling fraud, underwriting specimens, automating investigations, developing other tools to help their partners assess risk, and preserving their membership channels fully via cloud channels to leverage their presence in the summer. With insurance positivity at an all-time high, even so, the platform market outlook is better than promised, as forever improved. The global statutory systems are remarkably inconsistent, indicating that the market is most definitely still moving towards adopting cloud insurance platforms. The regulatory obligation with insurance fuels demand, as is InsurTech's forward thinking and the consumer's demands for life and more personalized and time-sensitive benefits. The persistent gap between the Americas ' cross-section and far relative sector commentary forecasts and leads all digitization in momentum, the APAC region is displaying very high growth potential, and the global entities appear to be challenging for market share through innovation, finding valuable or high-return partners and regional planning.

For example, in September 2024, Guardian Life Insurance, a leading U.S.-based insurer, implemented Oracle Fusion Cloud ERP (Oracle Corporation) to streamline its financial and operational workflows. By leveraging Oracle's embedded AI capabilities, the company significantly enhanced productivity and gained actionable insights, demonstrating the growing trend of insurers using advanced analytics tools to drive digital transformation and improve performance.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customers

  • 4.1. Respondent Demographics
  • 4.2. Awareness of Insurance Analytics Tools
  • 4.3. Key Challenges in Insurance Data Analysis
  • 4.4. Preferred Vendors and Selection Criteria
  • 4.5. Data Security and Compliance Concerns

5. Global Insurance Analytics Market Outlook, 2018-2032F

  • 5.1. Market Size Analysis & Forecast
    • 5.1.1. By Value
  • 5.2. Market Share Analysis & Forecast
    • 5.2.1. By Component
      • 5.2.1.1. Software
      • 5.2.1.2. Services
    • 5.2.2. By Deployment Mode
      • 5.2.2.1. On-premises
      • 5.2.2.2. Cloud
    • 5.2.3. By Application
      • 5.2.3.1. Claims Management
      • 5.2.3.2. Risk Management
      • 5.2.3.3. Customer Management and Personalization
      • 5.2.3.4. Fraud Detection
      • 5.2.3.5. Others
    • 5.2.4. By End-user
      • 5.2.4.1. Insurance Companies
      • 5.2.4.2. Third-party Administrators
      • 5.2.4.3. Brokers and Agencies
      • 5.2.4.4. Others
    • 5.2.5. By Country share
      • 5.2.5.1. North America
      • 5.2.5.2. Europe
      • 5.2.5.3. Asia-Pacific
      • 5.2.5.4. South America
      • 5.2.5.5. Middle East and Africa
  • 5.3. Market Map Analysis, 2024
    • 5.3.1. By Component
    • 5.3.2. By Deployment Mode
    • 5.3.3. By Application
    • 5.3.4. By End-user
    • 5.3.5. By Country share

6. North America Insurance Analytics Market Outlook, 2018-2032F

  • 6.1. Market Size Analysis & Forecast
    • 6.1.1. By Value
  • 6.2. Market Share Analysis & Forecast
    • 6.2.1. By Component
      • 6.2.1.1. Software
      • 6.2.1.2. Services
    • 6.2.2. By Deployment Mode
      • 6.2.2.1. On-premises
      • 6.2.2.2. Cloud
    • 6.2.3. By Application
      • 6.2.3.1. Claims Management
      • 6.2.3.2. Risk Management
      • 6.2.3.3. Customer Management and Personalization
      • 6.2.3.4. Fraud Detection
      • 6.2.3.5. Others
    • 6.2.4. By End-user
      • 6.2.4.1. Insurance Companies
      • 6.2.4.2. Third-party Administrators
      • 6.2.4.3. Brokers and Agencies
      • 6.2.4.4. Others
    • 6.2.5. By Country Share
      • 6.2.5.1. United States
      • 6.2.5.2. Canada
      • 6.2.5.3. Mexico
  • 6.3. Country Market Assessment
    • 6.3.1. United States Insurance Analytics Market Outlook, 2018-2032F*
      • 6.3.1.1. Market Size Analysis & Forecast
        • 6.3.1.1.1. By Value
      • 6.3.1.2. Market Share Analysis & Forecast
        • 6.3.1.2.1. By Component
          • 6.3.1.2.1.1. Software
          • 6.3.1.2.1.2. Services
        • 6.3.1.2.2. By Deployment Mode
          • 6.3.1.2.2.1. On-premises
          • 6.3.1.2.2.2. Cloud
        • 6.3.1.2.3. By Application
          • 6.3.1.2.3.1. Claims Management
          • 6.3.1.2.3.2. Risk Management
          • 6.3.1.2.3.3. Customer Management and Personalization
          • 6.3.1.2.3.4. Fraud Detection
          • 6.3.1.2.3.5. Others
        • 6.3.1.2.4. By End-user
          • 6.3.1.2.4.1. Insurance Companies
          • 6.3.1.2.4.2. Third-party Administrators
          • 6.3.1.2.4.3. Brokers and Agencies
          • 6.3.1.2.4.4. Others
    • 6.3.2. Canada
    • 6.3.3. Mexico

All segments will be provided for all regions and countries covered

7. Europe Insurance Analytics Market Outlook, 2018-2032F

  • 7.1. Germany
  • 7.2. France
  • 7.3. Italy
  • 7.4. United Kingdom
  • 7.5. Russia
  • 7.6. Netherlands
  • 7.7. Spain
  • 7.8. Turkey
  • 7.9. Poland

8. Asia-Pacific Insurance Analytics Market Outlook, 2018-2032F

  • 8.1. India
  • 8.2. China
  • 8.3. Japan
  • 8.4. Australia
  • 8.5. Vietnam
  • 8.6. South Korea
  • 8.7. Indonesia
  • 8.8. Philippines

9. South America Insurance Analytics Market Outlook, 2018-2032F

  • 9.1. Brazil
  • 9.2. Argentina

10. Middle East and Africa Insurance Analytics Market Outlook, 2018-2032F

  • 10.1. Saudi Arabia
  • 10.2. UAE
  • 10.3. South Africa

11. Demand Supply Analysis

12. Value Chain Analysis

13. Porter's Five Forces Analysis

14. PESTLE Analysis

15. Market Dynamics

  • 15.1. Market Drivers
  • 15.2. Market Challenges

16. Market Trends and Developments

17. Subscription Models (Usage-Based vs Fixed)

18. Case Studies

19. Competitive Landscape

  • 19.1. Competition Matrix of Top 5 Market Leaders
  • 19.2. SWOT Analysis for Top 5 Players
  • 19.3. Key Players Landscape for Top 10 Market Players
    • 19.3.1. SAS Institute Inc.
      • 19.3.1.1. Company Details
      • 19.3.1.2. Key Management Personnel
      • 19.3.1.3. Products and Services
      • 19.3.1.4. Financials (As Reported)
      • 19.3.1.5. Key Market Focus and Geographical Presence
      • 19.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
    • 19.3.2. Salesforce, Inc.
    • 19.3.3. International Business Machines Corporation (IBM)
    • 19.3.4. Oracle Corporation
    • 19.3.5. Guidewire Software, Inc.
    • 19.3.6. Microsoft Corporation
    • 19.3.7. Verisk Analytics, Inc.
    • 19.3.8. Tableau Software, LLC
    • 19.3.9. OpenText Corporation
    • 19.3.10. Palantir Technologies Inc.

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

20. Strategic Recommendations

21. About Us and Disclaimer