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市場調查報告書
商品編碼
1451470

2024-2032 年按組件、部署模式、企業規模、應用程式、最終用戶和區域分類的保險分析市場報告

Insurance Analytics Market Report by Component, Deployment Mode, Enterprise Size, Application, End User, and Region 2024-2032
出版日期: | 出版商: IMARC | 英文 149 Pages | 商品交期: 2-3個工作天內

價格

2023 年，全球保險分析市場規模達到 126 億美元。展望未來， IMARC Group預計到 2032 年，市場規模將達到 297 億美元，2024-2032 年複合年成長率 (CAGR) 為 9.7%。對監管合規性的需求不斷成長、為確保保險業的消費者保護、金融穩定和資料完整性而訂定的新法規以及對自動化的需求不斷成長是推動市場成長的關鍵因素。

保險分析是指在保險業中使用資料分析工具和統計模型做出明智決策的實踐。這種方法可以幫助保險公司獲得對其業務各個方面的寶貴見解，包括客戶行為、風險評估和索賠管理。透過分析大量資料，保險公司可以識別傳統方法可能不明顯的模式和趨勢。這使他們能夠提供更個人化的服務，設定準確的保費，並做出更快、更可靠的索賠決策。最終目標是提高效率、降低成本、增強客戶滿意度。在競爭激烈的市場中，保險分析使公司能夠做出數據驅動的決策，從而提供了至關重要的優勢。

對監管合規性日益成長的需求主要推動了全球市場的發展。政府機構和國際組織不斷修訂和引入新法規，以確保保險業的消費者保護、金融穩定性和資料完整性。這迫使保險公司採用先進的分析解決方案來有效管理風險並確保合規性。因此，這對市場有正面影響。除此之外，各種來源產生的資料量呈指數級成長是推動保險分析市場的關鍵因素。這一趨勢對能夠有效處理和分析大型資料集的分析工具產生了巨大的需求。此外，保險分析在行銷活動中的廣泛採用、提高客戶保留率，甚至預測市場變化都大大支持了市場。此外，保險業對自動化日益成長的需求也推動了對高階分析解決方案的需求。

保險分析市場趨勢/促進因素：

數據驅動決策的重要性日益增加

資料在業務策略中日益重要的相關性已成為保險分析的重要市場驅動力。與那些僅依靠傳統方法的保險公司相比，基於數據驅動的洞察力做出決策的保險公司具有至關重要的優勢。透過分析，保險公司可以處理大量資料，以便更好地了解客戶行為、偏好和風險狀況。這使他們能夠提供更個人化的保單、準確的保費率和更快的理賠處理。先進的分析演算法可以預測未來趨勢，使保險公司能夠主動調整策略來應對即將到來的挑戰或利用新興機會。無論是識別潛在的詐欺計劃還是確定哪些保單最有利可圖，資料分析都可以提供做出明智決策所需的可行見解。隨著越來越多的公司認知到數據驅動的價值，對保險分析解決方案的需求正在進一步推動該行業。

技術進步與創新

技術進步的崛起是推動保險分析市場的另一個關鍵驅動力。人工智慧 (AI)、機器學習和巨量資料創新徹底改變了保險業的分析應用方式。例如，人工智慧演算法可以比傳統方法更快、更準確地評估風險或偵測詐欺活動。機器學習模型可以自動適應新資料，使其能夠非常有效地預測消費者行為和市場趨勢。除此之外，雲端運算也讓分析變得更加容易，使規模較小的保險公司能夠利用複雜的分析工具，而無需廣泛的 IT 基礎架構。此外，這些技術的整合提高了分析質量，並使其更具可擴展性和成本效益。隨著技術不斷進步，保險公司正在為該行業的成長做出貢獻。

消費者對個人化服務的期望

當今的消費者期望根據他們獨特的需求和偏好量身定做的服務。這一趨勢正在迫使保險業從一刀切的方式轉變為更個人化的模式。保險分析在這一轉變中發揮關鍵作用。透過利用社群媒體、購買歷史甚至穿戴式裝置等各種來源的資料，保險公司可以 360 度全方位了解其客戶。這種精細的洞察力使保險公司能夠提供高度個人化的保單和服務，從而提高客戶滿意度和忠誠度。例如，分析可以確定特定人群最有可能購買哪些類型的保單，或生活方式的變化如何影響風險狀況。這有利於消費者，並使保險提供者能夠最佳化其產品和行銷策略。隨著消費者對個人化服務的需求不斷上升，保險公司正在進一步推動市場成長。

目錄

第1章：前言

第 2 章：範圍與方法

  • 研究目的
  • 利害關係人
  • 資料來源
    • 主要資源
    • 二手資料
  • 市場預測
    • 自下而上的方法
    • 自上而下的方法
  • 預測方法

第 3 章：執行摘要

第 4 章：簡介

  • 概述
  • 主要行業趨勢

第 5 章：全球保險分析市場

  • 市場概況
  • 市場業績
  • COVID-19 的影響
  • 市場預測

第 6 章：市場區隔：按組成部分

  • 解決方案
    • 市場走向
    • 市場預測
  • 服務
    • 市場走向
    • 市場預測

第 7 章：市場區隔：依部署模式

  • 本地
    • 市場走向
    • 市場預測
  • 基於雲端
    • 市場走向
    • 市場預測

第 8 章：市場區隔：依企業規模

  • 中小企業
    • 市場走向
    • 市場預測
  • 大型企業
    • 市場走向
    • 市場預測

第 9 章：市場區隔：按應用

  • 理賠管理
    • 市場走向
    • 市場預測
  • 風險管理
    • 市場走向
    • 市場預測
  • 使用者管理
    • 市場走向
    • 市場預測
  • 銷售和行銷
    • 市場走向
    • 市場預測
  • 其他
    • 市場走向
    • 市場預測

第 10 章：市場區隔：依最終用戶

  • 保險公司
    • 市場走向
    • 市場預測
  • 政府機構
    • 市場走向
    • 市場預測
  • 第三方管理員、經紀人和顧問公司
    • 市場走向
    • 市場預測

第 11 章：市場區隔：按地區

  • 北美洲
    • 美國
      • 市場走向
      • 市場預測
    • 加拿大
      • 市場走向
      • 市場預測
  • 亞太
    • 中國
      • 市場走向
      • 市場預測
    • 日本
      • 市場走向
      • 市場預測
    • 印度
      • 市場走向
      • 市場預測
    • 韓國
      • 市場走向
      • 市場預測
    • 澳洲
      • 市場走向
      • 市場預測
    • 印尼
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 歐洲
    • 德國
      • 市場走向
      • 市場預測
    • 法國
      • 市場走向
      • 市場預測
    • 英國
      • 市場走向
      • 市場預測
    • 義大利
      • 市場走向
      • 市場預測
    • 西班牙
      • 市場走向
      • 市場預測
    • 俄羅斯
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 拉丁美洲
    • 巴西
      • 市場走向
      • 市場預測
    • 墨西哥
      • 市場走向
      • 市場預測
    • 其他
      • 市場走向
      • 市場預測
  • 中東和非洲
    • 市場走向
    • 市場細分：按國家/地區
    • 市場預測

第 12 章：SWOT 分析

  • 概述
  • 優勢
  • 弱點
  • 機會
  • 威脅

第 13 章：價值鏈分析

第 14 章：波特五力分析

  • 概述
  • 買家的議價能力
  • 供應商的議價能力
  • 競爭程度
  • 新進入者的威脅
  • 替代品的威脅

第 15 章：價格分析

第16章：競爭格局

  • 市場結構
  • 關鍵參與者
  • 關鍵參與者簡介
    • 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: SR112024A4859

The global insurance analytics market size reached US$ 12.6 Billion in 2023. Looking forward, IMARC Group expects the market to reach US$ 29.7 Billion by 2032, exhibiting a growth rate (CAGR) of 9.7% during 2024-2032. 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:

IMARC Group provides an analysis of the key trends in each segment of the market, along with forecasts at the global, regional and country levels from 2024-2032. Our report has categorized the market based on component, deployment mode, enterprise size, application and end user.

Breakup by Component:

Solution

Service

Solution accounts for the majority of the market share

The report has provided a detailed breakup and analysis of the market based on the component. This includes solution and service. According to the report, solution represented the largest segment.

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

A detailed breakup and analysis of the market based on the deployment mode has also been provided in the report. This includes on-premises and cloud-based. According to the report, cloud-based accounted for the largest market share.

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

The report has provided a detailed breakup and analysis of the market based on the enterprise size. This includes small and medium-sized enterprises, and large enterprises. According to the report, large enterprises represented the largest segment.

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

A detailed breakup and analysis of the market based on the application has also been provided in the report. This includes claims management, risk management, customer management, sales and marketing, and others. According to the report, risk management accounted for the largest market share.

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

The report has provided a detailed breakup and analysis of the market based on the end user. This includes insurance companies, government agencies, and third-party administrators, brokers, and consultancies. According to the report, insurance companies represented the largest segment.

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

(Please note that this is only a partial list of the key players, and the complete list is provided in the report.)

Recent Developments:

In August 2023, International Business Machines Corporation consented to pay an unknown sum to private equity company Francisco Partners in exchange for selling its weather business. The Weather Company's consumer-focused properties, such Weather.com and Storm Radar, as well as its business solutions for sectors like media and aviation, are included in the deal.

In May 2023, LexisNexis Risk Solutions (RELX PLC) announced the acquisition of Human API, a top supplier of a proprietary consumer-driven data platform.

In October 2022, Applied Systems Inc. introduced a digital payments solution in the North American market that works with its management systems for insurance companies, Applied Epic and EZLynx.

Key Questions Answered in This Report

  • 1. What was the size of the global insurance analytics market in 2023?
  • 2. What is the expected growth rate of the global insurance analytics market during 2024-2032?
  • 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 US$), 2018-2023
  • Figure 3: Global: Insurance Analytics Market Forecast: Sales Value (in Billion US$), 2024-2032
  • Figure 4: Global: Insurance Analytics Market: Breakup by Component (in %), 2023
  • Figure 5: Global: Insurance Analytics Market: Breakup by Deployment Mode (in %), 2023
  • Figure 6: Global: Insurance Analytics Market: Breakup by Enterprise Size (in %), 2023
  • Figure 7: Global: Insurance Analytics Market: Breakup by Application (in %), 2023
  • Figure 8: Global: Insurance Analytics Market: Breakup by End User (in %), 2023
  • Figure 9: Global: Insurance Analytics Market: Breakup by Region (in %), 2023
  • Figure 10: Global: Insurance Analytics (Solution) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 11: Global: Insurance Analytics (Solution) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 12: Global: Insurance Analytics (Service) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 13: Global: Insurance Analytics (Service) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 14: Global: Insurance Analytics (On-premises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 15: Global: Insurance Analytics (On-premises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 16: Global: Insurance Analytics (Cloud-based) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 17: Global: Insurance Analytics (Cloud-based) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 18: Global: Insurance Analytics (Small and Medium-sized Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 19: Global: Insurance Analytics (Small and Medium-sized Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 20: Global: Insurance Analytics (Large Enterprises) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 21: Global: Insurance Analytics (Large Enterprises) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 22: Global: Insurance Analytics (Claims Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 23: Global: Insurance Analytics (Claims Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 24: Global: Insurance Analytics (Risk Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 25: Global: Insurance Analytics (Risk Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 26: Global: Insurance Analytics (Customer Management) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 27: Global: Insurance Analytics (Customer Management) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 28: Global: Insurance Analytics (Sales and Marketing) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 29: Global: Insurance Analytics (Sales and Marketing) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 30: Global: Insurance Analytics (Other Applications) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 31: Global: Insurance Analytics (Other Applications) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 32: Global: Insurance Analytics (Insurance Companies) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 33: Global: Insurance Analytics (Insurance Companies) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 34: Global: Insurance Analytics (Government Agencies) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 35: Global: Insurance Analytics (Government Agencies) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 36: Global: Insurance Analytics (Third-party Administrators, Brokers and Consultancies) Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 37: Global: Insurance Analytics (Third-party Administrators, Brokers and Consultancies) Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 38: North America: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 39: North America: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 40: United States: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 41: United States: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 42: Canada: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 43: Canada: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 44: Asia-Pacific: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 45: Asia-Pacific: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 46: China: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 47: China: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 48: Japan: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 49: Japan: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 50: India: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 51: India: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 52: South Korea: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 53: South Korea: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 54: Australia: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 55: Australia: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 56: Indonesia: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 57: Indonesia: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 58: Others: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 59: Others: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 60: Europe: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 61: Europe: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 62: Germany: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 63: Germany: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 64: France: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 65: France: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 66: United Kingdom: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 67: United Kingdom: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 68: Italy: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 69: Italy: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 70: Spain: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 71: Spain: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 72: Russia: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 73: Russia: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 74: Others: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 75: Others: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 76: Latin America: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 77: Latin America: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 78: Brazil: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 79: Brazil: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 80: Mexico: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 81: Mexico: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 82: Others: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 83: Others: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • Figure 84: Middle East and Africa: Insurance Analytics Market: Sales Value (in Million US$), 2018 & 2023
  • Figure 85: Middle East and Africa: Insurance Analytics Market: Breakup by Country (in %), 2023
  • Figure 86: Middle East and Africa: Insurance Analytics Market Forecast: Sales Value (in Million US$), 2024-2032
  • 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, 2023 and 2032
  • Table 2: Global: Insurance Analytics Market Forecast: Breakup by Component (in Million US$), 2024-2032
  • Table 3: Global: Insurance Analytics Market Forecast: Breakup by Deployment Mode (in Million US$), 2024-2032
  • Table 4: Global: Insurance Analytics Market Forecast: Breakup by Enterprise Size (in Million US$), 2024-2032
  • Table 5: Global: Insurance Analytics Market Forecast: Breakup by Application (in Million US$), 2024-2032
  • Table 6: Global: Insurance Analytics Market Forecast: Breakup by End User (in Million US$), 2024-2032
  • Table 7: Global: Insurance Analytics Market Forecast: Breakup by Region (in Million US$), 2024-2032
  • Table 8: Global: Insurance Analytics Market: Competitive Structure
  • Table 9: Global: Insurance Analytics Market: Key Players