查看购物车
  • Traditional Chinese
  • English
封面
市场调查报告书
商品编码
1701873

2025 年至 2033 年保险分析市场报告（按组件、部署模式、企业规模、应用、最终用户和地区划分）

Insurance Analytics Market Report by Component, Deployment Mode, Enterprise Size, Application, End User, and Region 2025-2033
出版日期: | 出版商: IMARC | 英文 136 Pages | 商品交期: 2-3个工作天内

价格

2024 年全球保险分析市场规模达 139 亿美元。展望未来， IMARC Group预计到 2033 年市场规模将达到 309 亿美元，2025-2033 年期间的成长率 (CAGR) 为 9.31%。对监管合规性的日益增长的需求、为确保保险业消费者保护、金融稳定和资料完整性而出台的新法规以及对自动化的日益增长的需求是推动市场增长的关键因素。

保险分析是指在保险业中使用资料分析工具和统计模型做出明智决策的实践。这种方法有助于保险公司深入了解其业务的各个方面，包括客户行为、风险评估和索赔管理。透过分析大量资料，保险公司可以识别传统方法可能无法发现的模式和趋势。这使他们能够提供更个人化的服务，设定准确的保费，并做出更快、更可靠的索赔决定。最终目的是提高效率、降低成本、增强客户满意度。在竞争激烈的市场中，保险分析可以帮助公司做出数据驱动的决策，从而提供关键优势。

对法规遵从性的日益增长的需求是全球市场的主要推动力。政府机构和国际组织不断修改和引入新的法规，以确保保险业的消费者保护、金融稳定性和资料完整性。这迫使保险公司采用先进的分析解决方案来管理风险并有效确保合规性。因此，这对市场产生了正面的影响。同时，各种来源产生的资料量的急剧增长是推动保险分析市场发展的关键因素。这一趋势对能够有效处理和分析大型资料集的分析工具产生了巨大的需求。此外，保险分析在行销活动、提高客户保留率甚至预测市场变化中的广泛应用也极大地支持了市场。此外，保险业对自动化的需求不断增长，从而推动了对高阶分析解决方案的需求。

保险分析市场趋势/驱动因素：

数据驱动决策的重要性日益增加

资料与商业策略的相关性日益增强，已成为保险分析的重要市场驱动力。基于数据驱动洞察做出决策的保险公司比仅依赖传统方法的保险公司具有关键优势。透过分析，保险公司可以处理大量资料，以便更好地了解客户的行为、偏好和风险状况。这使他们能够提供更个人化的政策、准确的保费率和更快的索赔处理。先进的分析演算法可以预测未来趋势，使保险公司能够主动调整其策略以应对即将到来的挑战或利用新兴机会。无论是识别潜在的诈欺计划还是确定哪些政策最有利可图，资料分析都能提供做出明智决策所需的可行见解。随着越来越多的公司认识到数据驱动的价值，对保险分析解决方案的需求进一步推动了产业的发展。

技术进步与创新

技术进步是推动保险分析市场发展的另一个关键驱动力。人工智慧 (AI)、机器学习和巨量资料等创新彻底改变了分析在保险业的应用方式。例如，人工智慧演算法可以比传统方法更快、更准确地评估风险或侦测诈欺活动。机器学习模型可以自动适应新资料，从而能够有效预测消费者行为和市场趋势。除此之外，云端运算也让分析变得更加容易，甚至小型保险公司也可以利用复杂的分析工具，而无需广泛的 IT 基础架构。此外，这些技术的整合提高了分析的质量，使其更具可扩展性和成本效益。随着技术的不断进步，保险公司正在为该行业的发展做出贡献。

消费者对个人化服务的期望

当今的消费者期望获得根据其独特需求和偏好量身定制的服务。这一趋势迫使保险业从一刀切的方式转变为更个人化的模式。保险分析在这一转变中发挥关键作用。透过利用社群媒体、购买历史甚至穿戴式装置等各种来源的资料，保险公司可以全面了解客户。如此细緻的洞察使保险公司能够提供高度个人化的政策和服务，提高客户满意度和忠诚度。例如，分析可以确定特定人群最有可能购买哪些类型的保险，或生活方式的改变如何影响风险状况。这使消费者受益，并使保险提供者能够优化其产品供应和行销策略。随着消费者对个人化服务的需求不断上升，保险公司正在进一步推动市场成长。

目录

第一章：前言

第二章：范围与方法

  • 研究目标
  • 利害关係人
  • 资料来源
    • 主要来源
    • 次要来源
  • 市场评估
    • 自下而上的方法
    • 自上而下的方法
  • 预测方法

第三章：执行摘要

第四章：简介

  • 概述
  • 主要行业趋势

第五章：全球保险分析市场

  • 市场概览
  • 市场表现
  • COVID-19的影响
  • 市场预测

第六章：市场细分：按组成部分

  • 解决方案
  • 服务

第七章：市场区隔：依部署模式

  • 本地
  • 基于云端

第八章：市场区隔：依企业规模

  • 中小企业
  • 大型企业

第九章：市场区隔：依应用

  • 索赔管理
  • 风险管理
  • 客户管理
  • 销售和行销
  • 其他的

第十章：市场区隔：依最终用户

  • 保险公司
  • 政府机构
  • 第三方管理人、经纪人和顾问公司

第 11 章：市场区隔：按地区

  • 北美洲
    • 美国
    • 加拿大
  • 亚太
    • 中国
    • 日本
    • 印度
    • 韩国
    • 澳洲
    • 印尼
    • 其他的
  • 欧洲
    • 德国
    • 法国
    • 英国
    • 义大利
    • 西班牙
    • 俄罗斯
    • 其他的
  • 拉丁美洲
    • 巴西
    • 墨西哥
    • 其他的
  • 中东和非洲
    • 市场区隔：依国家

第 12 章：SWOT 分析

  • 概述
  • 优势
  • 弱点
  • 机会
  • 威胁

第 13 章：价值链分析

第 14 章：波特五力分析

  • 概述
  • 买家的议价能力
  • 供应商的议价能力
  • 竞争程度
  • 新进入者的威胁
  • 替代品的威胁

第 15 章：价格分析

第 16 章：竞争格局

  • 市场结构
  • 关键参与者
  • 关键参与者简介
    • Applied Systems Inc.
    • Hexaware Technologies Limited
    • International Business Machines Corporation
    • LexisNexis Risk Solutions (RELX PLC)
    • Microsoft Corporation
    • MicroStrategy Incorporated
    • Open Text Corporation
    • Oracle Corporation
    • Pegasystems Inc.
    • Salesforce.com inc.
    • SAP SE
    • Sapiens International Corporation
Product Code: SR112025A4859

The global insurance analytics market size reached USD 13.9 Billion in 2024. Looking forward, IMARC Group expects the market to reach USD 30.9 Billion by 2033, exhibiting a growth rate (CAGR) of 9.31% during 2025-2033. The growing need for regulatory compliance, the introduction of new regulations to ensure consumer protection, financial stability, and data integrity in the insurance sector and the growing demand for automation are among the key factors driving the market growth.

Insurance analytics refers to the practice of using data analysis tools and statistical models to make informed decisions in the insurance industry. This approach helps insurance companies gain valuable insights into various aspects of their business, including customer behavior, risk assessment, and claims management. By analyzing large sets of data, insurers can identify patterns and trends that may not be apparent through traditional methods. This enables them to offer more personalized services, set accurate premiums, and make quicker and more reliable claims decisions. The ultimate goal is to improve efficiency, reduce costs, and enhance customer satisfaction. In a competitive market, insurance analytics provides a crucial edge by empowering companies to make data-driven decisions.

The growing need for regulatory compliance majorly drives the global market. Government bodies and international organizations are continually revising and introducing new regulations to ensure consumer protection, financial stability, and data integrity in the insurance sector. This is compelling insurance companies to adopt advanced analytics solutions to manage risk and ensure compliance efficiently. Thus, this is positively influencing the market. Along with this, the exponential growth in the volume of data generated by various sources is a key factor driving the insurance analytics market. This trend is creating a significant demand for analytics tools capable of processing and analyzing large data sets efficiently. In addition, the widespread adoption of insurance analytics for marketing campaigns, improving customer retention, and even predicting market shifts is significantly supporting the market. Moreover, the growing demand for automation in the insurance industry is thus driving the need for advanced analytics solutions.

Insurance Analytics Market Trends/Drivers:

Growing importance of data-driven decision making

The increasing relevance of data in business strategy has become a significant market driver for insurance analytics. Insurance companies that make decisions based on data-driven insights gain a crucial edge over those relying solely on traditional methods. With analytics, insurers can crunch vast amounts of data to better understand customer behavior, preferences, and risk profiles. This enables them to offer more personalized policies, accurate premium rates, and quicker claims processing. Advanced analytics algorithms can predict future trends, allowing insurers to proactively adapt their strategies to meet upcoming challenges or capitalize on emerging opportunities. Whether it is identifying potential fraud schemes or determining which policies are most profitable, data analytics provides the actionable insights needed for making informed decisions. As more companies recognize the value of being data-driven, the demand for insurance analytics solutions is further driving the industry.

Technological advancements and innovations

The rise in technological advancements is another key driver fueling the insurance analytics market. Innovations, such as artificial intelligence (AI), machine learning, and big data have revolutionized the way analytics can be applied within the insurance industry. For instance, AI algorithms can assess risk or detect fraudulent activity much quicker and more accurately than traditional methods. Machine learning models can automatically adapt to new data, making them highly effective at predicting consumer behavior and market trends. Apart from this, cloud computing has also made analytics more accessible, enabling even smaller insurance companies to take advantage of sophisticated analytics tools without the need for extensive IT infrastructure. Moreover, the integration of these technologies improves the quality of analytics and makes it more scalable and cost-effective. As technology continues to advance, insurance companies are contributing to the sector's growth.

Consumer expectations for personalized services

Today's consumers expect services that are tailored to their unique needs and preferences. This trend is forcing the insurance industry to evolve from a one-size-fits-all approach to a more individualized model. Insurance analytics plays a pivotal role in this transformation. By leveraging data from various sources such as social media, purchase histories, and even wearable devices, insurance companies can gain a 360-degree view of their customers. Such granular insights allow insurers to offer highly personalized policies and services, improving customer satisfaction and loyalty. For example, analytics can identify what types of policies a particular demographic is most likely to purchase or how lifestyle changes affect risk profiles. This benefits consumers and enables insurance providers to optimize their product offerings and marketing strategies. As consumer demand for personalized services continues to rise, insurance companies are further driving market growth.

Insurance Analytics Industry Segmentation:

Breakup by Component:

  • Solution
  • Service

Solution accounts for the majority of the market share

The demand for various solution components in the insurance analytics industry is being driven by multiple factors that enhance operational efficiency and business intelligence. Components such as data warehousing, predictive modeling, and dashboarding tools are becoming increasingly vital. Along with this, regulatory compliance continues to be a significant driver, as these components help in generating automated reports and real-time monitoring to ensure adherence to legal norms. With the rise in data volume, effective data management and storage solutions are indispensable, driving the market for data warehousing components. Predictive modeling tools are gaining traction due to their ability to forecast market trends and customer behavior, enabling insurers to make data-driven strategic decisions. Moreover, dashboarding tools are becoming popular for their user-friendly interfaces that offer valuable insights at a glance, thereby aiding in quick decision-making. The growing focus on customer personalization and the urgent need for cybersecurity measures are also fueling the demand for specialized analytics solutions in the insurance industry.

Breakup by Deployment Mode:

  • On-premises
  • Cloud-based

Cloud-based holds the largest share in the industry

The adoption of cloud-based deployment modes in the insurance analytics industry is gaining momentum, driven by several key factors. Cloud-based solutions offer unparalleled scalability and flexibility, allowing insurance companies to easily adjust their analytics capabilities in line with fluctuating business needs. This is especially valuable for small to medium-sized enterprises (SMEs) that may not have the infrastructure for on-premises solutions but still want to harness the power of analytics. Cost-efficiency is another significant driver; cloud-based services often operate on a subscription model that eliminates the need for substantial upfront investment in hardware and software. Moreover, cloud solutions facilitate easier data integration from multiple sources and quicker implementation of updates or new features. As insurers increasingly recognize the importance of real-time data analysis for everything from compliance monitoring to customer engagement, the speed and accessibility offered by cloud-based deployment become critical. This shift towards more agile, cost-effective solutions is significantly driving the market for cloud-based insurance analytics.

Breakup by Enterprise Size:

  • Small and Medium-sized Enterprises
  • Large Enterprises

Large enterprises accounts for the majority of the market share

Large enterprises in the insurance sector are major contributors to the growing demand for advanced analytics solutions. One of the primary market drivers for this segment is the complexity and volume of data these organizations handle. Large insurance firms have diverse portfolios, multiple customer segments, and operate across different geographies, generating enormous amounts of structured and unstructured data. Analytics help them synthesize this data into actionable insights for strategic decision-making. Another driver is the growing need for real-time analytics to enhance customer experiences and streamline operations. Large enterprises often have the resources to invest in sophisticated analytics platforms that offer real-time insights, thus providing them with a competitive advantage. Furthermore, these companies face stringent regulatory compliance requirements that necessitate robust analytics capabilities for risk assessment and reporting. The economies of scale also allow large enterprises to invest in cutting-edge technologies, thereby driving innovation and growth in the insurance analytics market.

Breakup by Application:

  • Claims Management
  • Risk Management
  • Customer Management
  • Sales and Marketing
  • Others

Risk management holds the largest share in the industry

Risk management stands as one of the most critical applications driving the insurance analytics market. With increasing complexities in the insurance landscape, characterized by volatile markets and evolving customer behaviors, accurate risk assessment has become indispensable for long-term sustainability. Analytics tools are pivotal in analyzing diverse data points to identify trends, anomalies, and potential risks that could impact an insurer's portfolio. Machine learning algorithms, for example, can process large datasets to predict the likelihood of events like claims or defaults, enabling proactive risk mitigation strategies. Moreover, in a regulatory environment that is becoming increasingly stringent, risk management analytics help in complying with capital adequacy and solvency norms by providing real-time insights into the risk profile of assets and liabilities. As insurers strive for more nuanced and predictive models for risk identification and assessment, the demand for analytics in risk management is expected to grow, further driving the market.

Breakup by End User:

  • Insurance Companies
  • Government Agencies
  • Third-party Administrators, Brokers and Consultancies

Insurance companies account for the majority of the market share

Insurance companies themselves are a significant end-user segment driving the growth of the global industry. The dynamics of the insurance market are evolving rapidly due to technological advancements, regulatory changes, and shifting consumer behaviors. To remain competitive, insurance companies are increasingly relying on analytics to gain insights that inform strategic planning, product development, and customer engagement. Analytics enable insurers to build more accurate risk models, tailor products to specific customer segments, and optimize pricing strategies. The technology also plays a crucial role in claims management, fraud detection, and regulatory compliance, reducing costs and streamlining operations. Moreover, the advent of big data and machine learning offers opportunities for real-time analytics, enabling insurance companies to make faster and more informed decisions. These capabilities improve profitability and enhance customer satisfaction and loyalty, which are critical for business success in a competitive market.

Breakup by Region:

  • North America
  • United States
  • Canada
  • Asia-Pacific
  • China
  • Japan
  • India
  • South Korea
  • Australia
  • Indonesia
  • Others
  • Europe
  • Germany
  • France
  • United Kingdom
  • Italy
  • Spain
  • Russia
  • Others
  • Latin America
  • Brazil
  • Mexico
  • Others
  • Middle East and Africa

North America exhibits a clear dominance,, accounting for the largest insurance analytics market share

The market research report has also provided a comprehensive analysis of all the major regional markets, which include North America (the United States and Canada); Asia-Pacific (China, Japan, India, South Korea, Australia, Indonesia, and others); Europe (Germany, France, the United Kingdom, Italy, Spain, Russia, and others); Latin America (Brazil, Mexico, and others); and the Middle East and Africa. According to the report, North America accounted for the largest market share.

North America is a significant market for insurance analytics, driven by a combination of technological innovation, regulatory environment, and consumer expectations. The region is home to a mature insurance industry with companies that are early adopters of emerging technologies, such as artificial intelligence, big data, and machine learning. This technological edge stimulates the demand for analytics solutions designed to optimize various aspects of the insurance business. Regulatory compliance is another important driver; stringent laws and regulations around data governance and consumer protection necessitate advanced analytics for real-time monitoring and reporting.

Additionally, the consumer base in North America is increasingly digitally-savvy and expects personalized, efficient services. This encourages insurance companies to leverage analytics for customer segmentation, tailored product offerings, and targeted marketing strategies. The convergence of these factors makes North America a fertile ground for the growth and adoption of insurance analytics, significantly driving the market in this region.

Competitive Landscape:

The key players are continually upgrading their analytics platforms to incorporate the latest technologies such as artificial intelligence, machine learning, and big data processing capabilities. These updates offer more accurate and faster data analysis. Along with this, various firms are forming partnerships with insurance companies, technology providers, and even academic institutions to share expertise and resources. Such collaborations often result in the development of specialized analytics tools tailored to specific industry needs. With rising consumer expectations for personalized services, companies are focusing on developing analytics tools that can analyze customer behavior, preferences, and risk profiles to offer customized insurance products. In addition, regulatory compliance is a big challenge for the insurance industry. Analytics companies are developing features that can automatically monitor compliance metrics and generate reports, thereby reducing the risk of non-compliance for their clients. As data security is a primary concern, especially given the sensitive nature of information in insurance, companies are investing in robust security protocols to ensure data integrity and confidentiality.

The market research report has provided a comprehensive analysis of the competitive landscape in the market. Detailed profiles of all major companies have also been provided. Some of the key players in the market include:

  • Applied Systems Inc.
  • Hexaware Technologies Limited
  • International Business Machines Corporation
  • LexisNexis Risk Solutions (RELX PLC)
  • Microsoft Corporation
  • MicroStrategy Incorporated
  • Open Text Corporation
  • Oracle Corporation
  • Pegasystems Inc.
  • Salesforce.com inc.
  • SAP SE
  • Sapiens International Corporation

Key Questions Answered in This Report

  • 1.What was the size of the global insurance analytics market in 2024?
  • 2.What is the expected growth rate of the global insurance analytics market during 2025-2033?
  • 3.What are the key factors driving the global insurance analytics market?
  • 4.What has been the impact of COVID-19 on the global insurance analytics market?
  • 5.What is the breakup of the global insurance analytics market based on the component?
  • 6.What is the breakup of the global insurance analytics market based on the deployment mode?
  • 7.What is the breakup of the global insurance analytics market based on the enterprise size?
  • 8.What is the breakup of the global insurance analytics market based on the application?
  • 9.What is the breakup of the global insurance analytics market based on the end user?
  • 10.What are the key regions in the global insurance analytics market?
  • 11.Who are the key players/companies in the global insurance analytics market?

Table of Contents

1 Preface

2 Scope and Methodology

  • 2.1 Objectives of the Study
  • 2.2 Stakeholders
  • 2.3 Data Sources
    • 2.3.1 Primary Sources
    • 2.3.2 Secondary Sources
  • 2.4 Market Estimation
    • 2.4.1 Bottom-Up Approach
    • 2.4.2 Top-Down Approach
  • 2.5 Forecasting Methodology

3 Executive Summary

4 Introduction

  • 4.1 Overview
  • 4.2 Key Industry Trends

5 Global Insurance Analytics Market

  • 5.1 Market Overview
  • 5.2 Market Performance
  • 5.3 Impact of COVID-19
  • 5.4 Market Forecast

6 Market Breakup by Component

  • 6.1 Solution
    • 6.1.1 Market Trends
    • 6.1.2 Market Forecast
  • 6.2 Service
    • 6.2.1 Market Trends
    • 6.2.2 Market Forecast

7 Market Breakup by Deployment Mode

  • 7.1 On-premises
    • 7.1.1 Market Trends
    • 7.1.2 Market Forecast
  • 7.2 Cloud-based
    • 7.2.1 Market Trends
    • 7.2.2 Market Forecast

8 Market Breakup by Enterprise Size

  • 8.1 Small and Medium-sized Enterprises
    • 8.1.1 Market Trends
    • 8.1.2 Market Forecast
  • 8.2 Large Enterprises
    • 8.2.1 Market Trends
    • 8.2.2 Market Forecast

9 Market Breakup by Application

  • 9.1 Claims Management
    • 9.1.1 Market Trends
    • 9.1.2 Market Forecast
  • 9.2 Risk Management
    • 9.2.1 Market Trends
    • 9.2.2 Market Forecast
  • 9.3 Customer Management
    • 9.3.1 Market Trends
    • 9.3.2 Market Forecast
  • 9.4 Sales and Marketing
    • 9.4.1 Market Trends
    • 9.4.2 Market Forecast
  • 9.5 Others
    • 9.5.1 Market Trends
    • 9.5.2 Market Forecast

10 Market Breakup by End User

  • 10.1 Insurance Companies
    • 10.1.1 Market Trends
    • 10.1.2 Market Forecast
  • 10.2 Government Agencies
    • 10.2.1 Market Trends
    • 10.2.2 Market Forecast
  • 10.3 Third-party Administrators, Brokers and Consultancies
    • 10.3.1 Market Trends
    • 10.3.2 Market Forecast

11 Market Breakup by Region

  • 11.1 North America
    • 11.1.1 United States
      • 11.1.1.1 Market Trends
      • 11.1.1.2 Market Forecast
    • 11.1.2 Canada
      • 11.1.2.1 Market Trends
      • 11.1.2.2 Market Forecast
  • 11.2 Asia-Pacific
    • 11.2.1 China
      • 11.2.1.1 Market Trends
      • 11.2.1.2 Market Forecast
    • 11.2.2 Japan
      • 11.2.2.1 Market Trends
      • 11.2.2.2 Market Forecast
    • 11.2.3 India
      • 11.2.3.1 Market Trends
      • 11.2.3.2 Market Forecast
    • 11.2.4 South Korea
      • 11.2.4.1 Market Trends
      • 11.2.4.2 Market Forecast
    • 11.2.5 Australia
      • 11.2.5.1 Market Trends
      • 11.2.5.2 Market Forecast
    • 11.2.6 Indonesia
      • 11.2.6.1 Market Trends
      • 11.2.6.2 Market Forecast
    • 11.2.7 Others
      • 11.2.7.1 Market Trends
      • 11.2.7.2 Market Forecast
  • 11.3 Europe
    • 11.3.1 Germany
      • 11.3.1.1 Market Trends
      • 11.3.1.2 Market Forecast
    • 11.3.2 France
      • 11.3.2.1 Market Trends
      • 11.3.2.2 Market Forecast
    • 11.3.3 United Kingdom
      • 11.3.3.1 Market Trends
      • 11.3.3.2 Market Forecast
    • 11.3.4 Italy
      • 11.3.4.1 Market Trends
      • 11.3.4.2 Market Forecast
    • 11.3.5 Spain
      • 11.3.5.1 Market Trends
      • 11.3.5.2 Market Forecast
    • 11.3.6 Russia
      • 11.3.6.1 Market Trends
      • 11.3.6.2 Market Forecast
    • 11.3.7 Others
      • 11.3.7.1 Market Trends
      • 11.3.7.2 Market Forecast
  • 11.4 Latin America
    • 11.4.1 Brazil
      • 11.4.1.1 Market Trends
      • 11.4.1.2 Market Forecast
    • 11.4.2 Mexico
      • 11.4.2.1 Market Trends
      • 11.4.2.2 Market Forecast
    • 11.4.3 Others
      • 11.4.3.1 Market Trends
      • 11.4.3.2 Market Forecast
  • 11.5 Middle East and Africa
    • 11.5.1 Market Trends
    • 11.5.2 Market Breakup by Country
    • 11.5.3 Market Forecast

12 SWOT Analysis

  • 12.1 Overview
  • 12.2 Strengths
  • 12.3 Weaknesses
  • 12.4 Opportunities
  • 12.5 Threats

13 Value Chain Analysis

14 Porters Five Forces Analysis

  • 14.1 Overview
  • 14.2 Bargaining Power of Buyers
  • 14.3 Bargaining Power of Suppliers
  • 14.4 Degree of Competition
  • 14.5 Threat of New Entrants
  • 14.6 Threat of Substitutes

15 Price Analysis

16 Competitive Landscape

  • 16.1 Market Structure
  • 16.2 Key Players
  • 16.3 Profiles of Key Players
    • 16.3.1 Applied Systems Inc.
      • 16.3.1.1 Company Overview
      • 16.3.1.2 Product Portfolio
    • 16.3.2 Hexaware Technologies Limited
      • 16.3.2.1 Company Overview
      • 16.3.2.2 Product Portfolio
    • 16.3.3 International Business Machines Corporation
      • 16.3.3.1 Company Overview
      • 16.3.3.2 Product Portfolio
      • 16.3.3.3 Financials
      • 16.3.3.4 SWOT Analysis
    • 16.3.4 LexisNexis Risk Solutions (RELX PLC)
      • 16.3.4.1 Company Overview
      • 16.3.4.2 Product Portfolio
    • 16.3.5 Microsoft Corporation
      • 16.3.5.1 Company Overview
      • 16.3.5.2 Product Portfolio
      • 16.3.5.3 Financials
      • 16.3.5.4 SWOT Analysis
    • 16.3.6 MicroStrategy Incorporated
      • 16.3.6.1 Company Overview
      • 16.3.6.2 Product Portfolio
      • 16.3.6.3 Financials
      • 16.3.6.4 SWOT Analysis
    • 16.3.7 Open Text Corporation
      • 16.3.7.1 Company Overview
      • 16.3.7.2 Product Portfolio
      • 16.3.7.3 Financials
      • 16.3.7.4 SWOT Analysis
    • 16.3.8 Oracle Corporation
      • 16.3.8.1 Company Overview
      • 16.3.8.2 Product Portfolio
      • 16.3.8.3 Financials
      • 16.3.8.4 SWOT Analysis
    • 16.3.9 Pegasystems Inc.
      • 16.3.9.1 Company Overview
      • 16.3.9.2 Product Portfolio
      • 16.3.9.3 Financials
      • 16.3.9.4 SWOT Analysis
    • 16.3.10 Salesforce.com inc.
      • 16.3.10.1 Company Overview
      • 16.3.10.2 Product Portfolio
      • 16.3.10.3 Financials
      • 16.3.10.4 SWOT Analysis
    • 16.3.11 SAP SE
      • 16.3.11.1 Company Overview
      • 16.3.11.2 Product Portfolio
      • 16.3.11.3 Financials
      • 16.3.11.4 SWOT Analysis
    • 16.3.12 Sapiens International Corporation
      • 16.3.12.1 Company Overview
      • 16.3.12.2 Product Portfolio

List of Figures

  • Figure 1: Global: Insurance Analytics Market: Major Drivers and Challenges
  • Figure 2: Global: Insurance Analytics Market: Sales Value (in Billion USD), 2019-2024
  • Figure 3: Global: Insurance Analytics Market Forecast: Sales Value (in Billion USD), 2025-2033
  • Figure 4: Global: Insurance Analytics Market: Breakup by Component (in %), 2024
  • Figure 5: Global: Insurance Analytics Market: Breakup by Deployment Mode (in %), 2024
  • Figure 6: Global: Insurance Analytics Market: Breakup by Enterprise Size (in %), 2024
  • Figure 7: Global: Insurance Analytics Market: Breakup by Application (in %), 2024
  • Figure 8: Global: Insurance Analytics Market: Breakup by End User (in %), 2024
  • Figure 9: Global: Insurance Analytics Market: Breakup by Region (in %), 2024
  • Figure 10: Global: Insurance Analytics (Solution) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 11: Global: Insurance Analytics (Solution) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 12: Global: Insurance Analytics (Service) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 13: Global: Insurance Analytics (Service) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 14: Global: Insurance Analytics (On-premises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 15: Global: Insurance Analytics (On-premises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 16: Global: Insurance Analytics (Cloud-based) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 17: Global: Insurance Analytics (Cloud-based) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 18: Global: Insurance Analytics (Small and Medium-sized Enterprises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 19: Global: Insurance Analytics (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 20: Global: Insurance Analytics (Large Enterprises) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 21: Global: Insurance Analytics (Large Enterprises) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 22: Global: Insurance Analytics (Claims Management) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 23: Global: Insurance Analytics (Claims Management) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 24: Global: Insurance Analytics (Risk Management) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 25: Global: Insurance Analytics (Risk Management) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 26: Global: Insurance Analytics (Customer Management) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 27: Global: Insurance Analytics (Customer Management) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 28: Global: Insurance Analytics (Sales and Marketing) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 29: Global: Insurance Analytics (Sales and Marketing) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 30: Global: Insurance Analytics (Other Applications) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 31: Global: Insurance Analytics (Other Applications) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 32: Global: Insurance Analytics (Insurance Companies) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 33: Global: Insurance Analytics (Insurance Companies) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 34: Global: Insurance Analytics (Government Agencies) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 35: Global: Insurance Analytics (Government Agencies) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 36: Global: Insurance Analytics (Third-party Administrators, Brokers and Consultancies) Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 37: Global: Insurance Analytics (Third-party Administrators, Brokers and Consultancies) Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 38: North America: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 39: North America: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 40: United States: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 41: United States: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 42: Canada: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 43: Canada: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 44: Asia-Pacific: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 45: Asia-Pacific: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 46: China: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 47: China: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 48: Japan: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 49: Japan: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 50: India: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 51: India: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 52: South Korea: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 53: South Korea: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 54: Australia: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 55: Australia: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 56: Indonesia: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 57: Indonesia: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 58: Others: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 59: Others: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 60: Europe: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 61: Europe: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 62: Germany: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 63: Germany: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 64: France: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 65: France: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 66: United Kingdom: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 67: United Kingdom: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 68: Italy: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 69: Italy: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 70: Spain: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 71: Spain: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 72: Russia: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 73: Russia: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 74: Others: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 75: Others: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 76: Latin America: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 77: Latin America: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 78: Brazil: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 79: Brazil: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 80: Mexico: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 81: Mexico: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 82: Others: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 83: Others: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 84: Middle East and Africa: Insurance Analytics Market: Sales Value (in Million USD), 2019 & 2024
  • Figure 85: Middle East and Africa: Insurance Analytics Market: Breakup by Country (in %), 2024
  • Figure 86: Middle East and Africa: Insurance Analytics Market Forecast: Sales Value (in Million USD), 2025-2033
  • Figure 87: Global: Insurance Analytics Industry: SWOT Analysis
  • Figure 88: Global: Insurance Analytics Industry: Value Chain Analysis
  • Figure 89: Global: Insurance Analytics Industry: Porter's Five Forces Analysis

List of Tables

  • Table 1: Global: Insurance Analytics Market: Key Industry Highlights, 2024 and 2033
  • Table 2: Global: Insurance Analytics Market Forecast: Breakup by Component (in Million USD), 2025-2033
  • Table 3: Global: Insurance Analytics Market Forecast: Breakup by Deployment Mode (in Million USD), 2025-2033
  • Table 4: Global: Insurance Analytics Market Forecast: Breakup by Enterprise Size (in Million USD), 2025-2033
  • Table 5: Global: Insurance Analytics Market Forecast: Breakup by Application (in Million USD), 2025-2033
  • Table 6: Global: Insurance Analytics Market Forecast: Breakup by End User (in Million USD), 2025-2033
  • Table 7: Global: Insurance Analytics Market Forecast: Breakup by Region (in Million USD), 2025-2033
  • Table 8: Global: Insurance Analytics Market: Competitive Structure
  • Table 9: Global: Insurance Analytics Market: Key Players