保险分析市场规模- 按组件（软体、服务）、部署模式（本地、云端）、最终用户（保险公司、保险经纪人和代理人、第三方管理机构）、组织类型、应用程式和预测，2024 年至2032 年

2024年至2032年，全球保险分析市场的复合年增长率将超过13%。这些创新利用资料分析来快速适应客户期望、提高风险评估准确性并简化营运。

保险科技公司利用人工智慧和机器学习等先进技术来提高效率、个人化客户互动并引入动态定价策略。

举个例子，Claycove23 Insurance Tech Pvt 旗下的保险科技平台 CoverSure 在 Enam Holdings Pvt. 领投的 Pre-A 轮融资中获得了 400 万美元。这笔资金旨在开发一个以客户为中心的保险互动平台，提供整合资料分析和机器学习的客製化选项。

这种转型加速了产业数位化，并培育了更敏捷和以客户为中心的方法，使保险公司能够更好地应对不断变化的需求，并在数据驱动时代实现永续成长。

整个保险分析市场根据组件、部署模式、最终用户、组织类型、应用程式和区域进行分类。

由于服务部门在提高营运效率和客户满意度方面发挥关键作用，因此到 2032 年，服务部门将呈现显着的复合年增长率。分析使保险公司能够更深入地研究资料，使他们能够完善风险管理策略、优化定价模型并根据不断变化的消费者需求量身定制产品。此外，随着监管要求变得更加严格，分析提供了一个强大的框架来确保合规性，同时保持获利能力。这种数据驱动的方法改善了决策流程，并促进了行业内的创新，推动保险公司采用尖端技术，以在快速发展的市场环境中保持竞争力和弹性。

到 2032 年，本地部署领域将获得前景光明的保险分析市场资料。透过在本地部署分析解决方案，保险公司可以确保增强资料保护和机密性，同时严格遵守行业特定法规。这种方法为保险公司提供了更大的灵活性和客製化选项，将分析无缝整合到现有基础设施中，优化营运流程和资源分配。向本地分析的转变反映了保险公司内部加强资料治理和营运效率的策略性措施。

欧洲保险分析市场在预测期内将出现强劲的复合年增长率。随着监管环境的多样化以及 GDPR 对消费者资料隐私的日益重视，保险公司正在转向利用分析来应对合规性挑战，同时利用资料来获得竞争优势。欧洲保险市场的特点是高度重视以客户为中心的策略和数位转型，其中分析在增强客户体验和营运效率方面发挥着至关重要的作用。欧洲积极采用先进技术，促进保险业的创新和復原力，推动了这一趋势。

目录

第 1 章：方法与范围

第 2 章：执行摘要

第 3 章：产业洞察

• 产业生态系统分析
• 供应商格局
  • 保险公司
  • 分析提供者
  • 技术提供者
  • 服务供应商
• 利润率分析
• 技术与创新格局
• 专利分析
• 重要新闻和倡议
• 监管环境
• 衝击力
  • 成长动力
    • 越来越多采用数据驱动的决策
    • 需要准确的风险评估和定价
    • 简化索赔处理并减少欺诈
    • 监管合规要求刺激分析投资业
  • 陷阱与挑战
    • 资料隐私和安全问题带来风险
    • 整合不同资料来源的复杂性
• 成长潜力分析
• 波特的分析
• PESTEL分析

第 4 章：竞争格局

• 介绍
• 公司市占率分析
• 竞争定位矩阵
• 战略展望矩阵

第 5 章：市场估计与预测：按组成部分 2021 - 2032 年

• 主要趋势
• 软体
• 服务
  • 咨询
  • 实施与支持

第 6 章：市场估计与预测：依部署模式，2021 - 2032 年

• 主要趋势
• 本地
• 云

第 7 章：市场估计与预测：依应用分类，2021 - 2032

• 主要趋势
• 风险管理和承保。
• 索赔管理。
• 客户管理和个人化
• 诈欺检测与预防
• 定价和收入管理
• 供应链和营运管理。

第 8 章：市场估计与预测：依组织类型，2021 - 2032

• 主要趋势
• 大型企业
• 中小企业

第 9 章：市场估计与预测：依最终使用者分类，2021 - 2032 年

• 主要趋势
• 保险公司
• 保险经纪人和代理人
• 第三方管理机构
• 其他的

第 10 章：市场估计与预测：按地区，2021 - 2032

• 主要趋势
• 北美洲
  • 我们
  • 加拿大
• 欧洲
  • 英国
  • 德国
  • 法国
  • 义大利
  • 西班牙
  • 俄罗斯
  • 欧洲其他地区
• 亚太地区
  • 中国
  • 印度
  • 日本
  • 韩国
  • 澳新银行
  • 东南亚
  • 亚太地区其他地区
• 拉丁美洲
  • 巴西
  • 墨西哥
  • 阿根廷
  • 拉丁美洲其他地区
• MEA
  • 阿联酋
  • 南非
  • 沙乌地阿拉伯
  • MEA 的其余部分

第 11 章：公司简介

• Birst
• Claim Analytics
• Deloitte
• IBM Corporation
• LexisNexis Risk Solutions
• Majesco
• Microsoft Corporation
• Mindtree
• OpenText
• Oracle Corporation
• Pegasystems
• Prima Solutions
• Salesforce
• SAP SE

Global Insurance Analytics Market will exhibit over 13% CAGR from 2024 to 2032. The emergence of Insurtech has significantly reshaped the insurance landscape by leveraging analytics to innovate business models, refine underwriting processes, and boost market competitiveness. These innovations harness data analytics to swiftly adapt to customer expectations, improve risk assessment accuracy, and streamline operations.

Insurtech firms utilize advanced technologies such as AI and machine learning to enhance efficiency, personalize customer interactions, and introduce dynamic pricing strategies.

Quoting an instance, CoverSure, an insurtech platform under Claycove23 Insurance Tech Pvt, secures 4 million in a pre-Series A round led by Enam Holdings Pvt. Ltd. The funding aims to develop a customer-centric insurance interaction platform with customization options integrating data analytics and machine learning.

This transformation accelerates industry digitization and fosters a more agile and customer-centric approach, positioning insurers to better navigate evolving demands and achieve sustainable growth in a data-driven era.

The overall insurance analytics market is categorized based on component, deployment mode, end-user, organization type, application, and region.

The services segment will indicate a noticeable CAGR through 2032 due to its pivotal role in enhancing operational efficiencies and customer satisfaction. Analytics empower insurers to delve deeper into data, enabling them to refine risk management strategies, optimize pricing models, and tailor products to evolving consumer needs. Moreover, as regulatory requirements become more stringent, analytics provide a robust framework for ensuring compliance while maintaining profitability. This data-driven approach improves decision-making processes as well as fosters innovation within the industry, driving insurers to adopt cutting-edge technologies to stay competitive and resilient in a rapidly evolving market landscape.

The on-premises segment will procure a promising insurance analytics market share by 2032. The market is escalating across the on-premises segment primarily because of concerns over data security, compliance with regulatory standards, and the need for greater control over sensitive information. By deploying analytics solutions on-premises, insurers can ensure enhanced data protection and confidentiality while maintaining strict adherence to industry-specific regulations. This approach offers insurers more flexibility and customization options to integrate analytics seamlessly into existing infrastructure, optimizing operational processes and resource allocation. The shift towards on-premises analytics reflects a strategic move towards bolstering data governance and operational efficiency within insurance enterprises.

Europe insurance analytics market will witness a robust CAGR during the forecast period. With a diverse regulatory landscape and increasing emphasis on consumer data privacy under GDPR, insurers are turning to analytics to navigate compliance challenges while leveraging data for competitive advantage. Europe insurance market is characterized by a strong focus on customer-centric strategies and digital transformation, where analytics play a crucial role in enhancing customer experience and operational efficiency. This trend is fueled by Europe's proactive adoption of advanced technologies, fostering innovation and resilience in the insurance sector.

Table of Contents

Chapter 1 Methodology & Scope

• 1.1 Market scope & definitions
• 1.2 Research design
  • 1.2.1 Research approach
  • 1.2.2 Data collection methods
• 1.3 Base estimates & calculations
  • 1.3.1 Base year calculation
  • 1.3.2 Key trends for market estimation
• 1.4 Forecast model
• 1.5 Primary research and validation
  • 1.5.1 Primary sources
  • 1.5.2 Data mining sources

Chapter 2 Executive Summary

• 2.1 Industry 360° synopsis, 2021 - 2032

Chapter 3 Industry Insights

• 3.1 Industry ecosystem analysis
• 3.2 Supplier landscape
  • 3.2.1 Insurance companies
  • 3.2.2 Analytics providers
  • 3.2.3 Technology providers
  • 3.2.4 Service providers
• 3.3 Profit margin analysis
• 3.4 Technology & innovation landscape
• 3.5 Patent analysis
• 3.6 Key news & initiatives
• 3.7 Regulatory landscape
• 3.8 Impact forces
  • 3.8.1 Growth drivers
    • 3.8.1.1 Increasing adoption of data-driven decision-making
    • 3.8.1.2 Demand for accurate risk assessment and pricing
    • 3.8.1.3 Streamlining claims processing and reducing fraud
    • 3.8.1.4 Regulatory compliance mandates spur analytics investment Industry
  • 3.8.2 Pitfalls & challenges
    • 3.8.2.1 Data privacy and security concerns pose risks
    • 3.8.2.2 Complexity of integrating disparate data sources
• 3.9 Growth potential analysis
• 3.10 Porter's analysis
• 3.11 PESTEL analysis

Chapter 4 Competitive Landscape, 2023

• 4.1 Introduction
• 4.2 Company market share analysis
• 4.3 Competitive positioning matrix
• 4.4 Strategic outlook matrix

Chapter 5 Market Estimates & Forecast, By Component 2021 - 2032 ($Bn)

• 5.1 Key trends
• 5.2 Software
• 5.3 Services
  • 5.3.1 Consulting
  • 5.3.2 Implementation & support

Chapter 6 Market Estimates & Forecast, By Deployment Mode, 2021 - 2032 ($Bn)

• 6.1 Key trends
• 6.2 On-premises
• 6.3 Cloud

Chapter 7 Market Estimates & Forecast, By Application, 2021 - 2032 ($Bn)

• 7.1 Key trends
• 7.2 Risk management and underwriting.
• 7.3 Claims management.
• 7.4 Customer management and personalization
• 7.5 Fraud detection and prevention
• 7.6 Pricing and revenue management
• 7.7 Supply chain and operations management.

Chapter 8 Market Estimates & Forecast, By Organization type, 2021 - 2032 ($Bn)

• 8.1 Key trends
• 8.2 Large enterprises
• 8.3 SMEs

Chapter 9 Market Estimates & Forecast, By End-User, 2021 - 2032 ($Bn)

• 9.1 Key trends
• 9.2 Insurance companies
• 9.3 Insurance brokers & agents
• 9.4 Third party administrations
• 9.5 Others

Chapter 10 Market Estimates & Forecast, By Region, 2021 - 2032 ($Bn)

• 10.1 Key trends
• 10.2 North America
  • 10.2.1 U.S.
  • 10.2.2 Canada
• 10.3 Europe
  • 10.3.1 UK
  • 10.3.2 Germany
  • 10.3.3 France
  • 10.3.4 Italy
  • 10.3.5 Spain
  • 10.3.6 Russia
  • 10.3.7 Rest of Europe
• 10.4 Asia Pacific
  • 10.4.1 China
  • 10.4.2 India
  • 10.4.3 Japan
  • 10.4.4 South Korea
  • 10.4.5 ANZ
  • 10.4.6 Southeast Asia
  • 10.4.7 Rest of Asia Pacific
• 10.5 Latin America
  • 10.5.1 Brazil
  • 10.5.2 Mexico
  • 10.5.3 Argentina
  • 10.5.4 Rest of Latin America
• 10.6 MEA
  • 10.6.1 UAE
  • 10.6.2 South Africa
  • 10.6.3 Saudi Arabia
  • 10.6.4 Rest of MEA

Chapter 11 Company Profiles

• 11.1 Birst
• 11.2 Claim Analytics
• 11.3 Deloitte
• 11.4 IBM Corporation
• 11.5 LexisNexis Risk Solutions
• 11.6 Majesco
• 11.7 Microsoft Corporation
• 11.8 Mindtree
• 11.9 OpenText
• 11.10 Oracle Corporation
• 11.11 Pegasystems
• 11.12 Prima Solutions
• 11.13 Salesforce
• 11.14 SAP SE