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市場調查報告書

商品編碼

1524220

保險分析市場規模- 按組件（軟體、服務）、部署模式（本地、雲端）、最終用戶（保險公司、保險經紀人和代理人、第三方管理機構）、組織類型、應用程式和預測，2024 年至2032 年

Insurance Analytics Market Size - By Component (Software, Services), Deployment Mode (On-Premises, Cloud), End-User (Insurance Companies, Insurance Brokers & Agents, Third Party Administrations), Organization Type, Application & Forecast, 2024 - 2032

出版日期: 2024年04月22日 | 出版商:

Global Market Insights Inc. | 英文 270 Pages | 商品交期: 2-3個工作天內

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簡介目錄

2024年至2032年，全球保險分析市場的複合年成長率將超過13%。這些創新利用資料分析來快速適應客戶期望、提高風險評估準確性並簡化營運。

保險科技公司利用人工智慧和機器學習等先進技術來提高效率、個人化客戶互動並引入動態定價策略。

舉個例子，Claycove23 Insurance Tech Pvt 旗下的保險科技平台 CoverSure 在 Enam Holdings Pvt. 領投的 Pre-A 輪融資中獲得了 400 萬美元。這筆資金旨在開發一個以客戶為中心的保險互動平台，提供整合資料分析和機器學習的客製化選項。

這種轉型加速了產業數位化，並培育了更敏捷和以客戶為中心的方法，使保險公司能夠更好地應對不斷變化的需求，並在數據驅動時代實現永續成長。

整個保險分析市場根據組件、部署模式、最終用戶、組織類型、應用程式和區域進行分類。

由於服務部門在提高營運效率和客戶滿意度方面發揮關鍵作用，因此到 2032 年，服務部門將呈現顯著的複合年成長率。分析使保險公司能夠更深入地研究資料，使他們能夠完善風險管理策略、最佳化定價模型並根據不斷變化的消費者需求量身定做產品。此外，隨著監管要求變得更加嚴格，分析提供了一個強大的框架來確保合規性，同時保持獲利能力。這種數據驅動的方法改善了決策流程，並促進了行業內的創新，推動保險公司採用尖端技術，以在快速發展的市場環境中保持競爭力和彈性。

到 2032 年，本地部署領域將獲得前景光明的保險分析市場資料。透過在本地部署分析解決方案，保險公司可以確保增強資料保護和機密性，同時嚴格遵守行業特定法規。這種方法為保險公司提供了更大的靈活性和客製化選項，將分析無縫整合到現有基礎設施中，最佳化營運流程和資源分配。向本地分析的轉變反映了保險公司內部加強資料治理和營運效率的策略性措施。

歐洲保險分析市場在預測期內將出現強勁的複合年成長率。隨著監管環境的多樣化以及 GDPR 對消費者資料隱私的日益重視，保險公司正在轉向利用分析來應對合規性挑戰，同時利用資料來獲得競爭優勢。歐洲保險市場的特點是高度重視以客戶為中心的策略和數位轉型，其中分析在增強客戶體驗和營運效率方面發揮著至關重要的作用。歐洲積極採用先進技術，促進保險業的創新和復原力，推動了這一趨勢。

產業生態系統分析
供應商格局
- 保險公司
- 分析提供者
- 技術提供者
- 服務供應商
利潤率分析
技術與創新格局
專利分析
重要新聞和舉措
監管環境
衝擊力
- 成長動力
  - 越來越多採用數據驅動的決策
  - 需要準確的風險評估和定價
  - 簡化索賠處理並減少欺詐
  - 監管合規要求刺激分析投資業
- 陷阱與挑戰
  - 資料隱私和安全問題帶來風險
  - 整合不同資料來源的複雜性
成長潛力分析
波特的分析
PESTEL分析

第 4 章：競爭格局

介紹
公司市佔率分析
競爭定位矩陣
戰略展望矩陣

第 5 章：市場估計與預測：按組成部分 2021 - 2032 年

主要趨勢
軟體
服務
- 諮詢
- 實施與支持

第 6 章：市場估計與預測：依部署模式，2021 - 2032 年

主要趨勢
本地
雲

第 7 章：市場估計與預測：依應用分類，2021 - 2032

主要趨勢
風險管理和承保。
索賠管理。
客戶管理和個人化
詐欺檢測與預防
定價和收入管理
供應鏈和營運管理。

第 8 章：市場估計與預測：依組織類型，2021 - 2032

主要趨勢
大型企業
中小企業

第 9 章：市場估計與預測：依最終使用者分類，2021 - 2032 年

主要趨勢
保險公司
保險經紀人和代理人
第三方管理機構
其他

第 10 章：市場估計與預測：按地區，2021 - 2032

主要趨勢
北美洲
- 美國
- 加拿大
歐洲
- 英國
- 德國
- 法國
- 義大利
- 西班牙
- 俄羅斯
- 歐洲其他地區
亞太地區
- 中國
- 印度
- 日本
- 韓國
- 澳新銀行
- 東南亞
- 亞太地區其他地區
拉丁美洲
- 巴西
- 墨西哥
- 阿根廷
- 拉丁美洲其他地區
MEA
- 阿拉伯聯合大公國
- 南非
- 沙烏地阿拉伯
- MEA 的其餘部分

第 11 章：公司簡介

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

簡介目錄

Product Code: 9132

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.

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