查看購物車
  • Simplified Chinese
  • English
  • Japanese
  • Korean
封面
市場調查報告書
商品編碼
1768671

全球保險分析市場：依組件、部署模式、應用、最終用戶、地區、機會及預測，2018-2032

Global Insurance Analytics Market Assessment, By Component, By Deployment Mode, By Application, By End-user, By Region, Opportunities and Forecast, 2018-2032F
出版日期: | 出版商: Markets & Data | 英文 220 Pages | 商品交期: 3-5個工作天內

價格

全球保險分析市場預計將從2024年的140.2億美元成長到2032年的325.9億美元，在2025-2032年預測期內的年複合成長率為 11.12%。全球保險分析市場的成長動力源自於巨量資料和人工智慧技術的日益普及，這些技術目的是增強風險評估、詐欺偵測和客戶個人化。對資料驅動決策的需求不斷成長、監管合規要求不斷提高以及對營運效率的需求進一步推動了市場的成長。此外，保險科技新創企業的崛起、物聯網設備的整合以及基於雲端的分析解決方案數量的不斷成長也促進了市場的擴張。新興市場和向預測分析的轉變也在塑造產業未來發展中發揮關鍵作用。

在競爭日益激烈的保險業中，隨著企業尋求差異化並在全球市場中佔據更有利的地位，對高階分析解決方案的需求也日益成長。企業採用可擴展且高效的分析平台來應對日益成長的風險敞口，增強災難應變能力，並確保遵守不斷發展的監管標準。此外，消費者現在可以全天候在線獲取多家保險公司的即時報價，獲得根據其需求量身定制的保障，這加劇了競爭。這些動態加速產業新進者對保險分析的採用，並成為市場擴張的關鍵驅動力。

例如，IBM Cloud 在2025年 5月宣布了一系列新的合作夥伴關係和新服務，目的是推動 AI 轉型，以應對不斷變化的監管環境。這些解決方案為保險公司提供先進的預測分析和風險能力，同時使用安全合規的基礎架構，彰顯了雲端供應商在支援保險業資料驅動創新方面的重要性。

目錄

第1章 專案範圍與定義

第2章 研究方法

第3章 執行摘要

第4章 客戶之聲

  • 受訪者人口統計
  • 對保險分析工具的認知度
  • 保險資料分析面臨的最大挑戰
  • 推薦供應商和選擇標準
  • 資料安全和合規性問題

第5章 2018-2032年全球保險分析市場展望

  • 市場規模分析與預測
    • 依價值
  • 市場佔有率分析與預測
    • 依組件
      • 軟體
      • 服務
    • 依部署模式
      • 本地部署
      • 雲端部署
    • 依應用
      • 理賠管理
      • 風險管理
      • 客戶管理與個人化
      • 詐欺偵測
      • 其他
    • 依最終用戶
      • 保險公司
      • 第三方管理員
      • 經紀人和代理人
      • 其他
    • 國家佔有率
      • 北美
      • 歐洲
      • 亞太地區
      • 南美
      • 中東和非洲
  • 2024年市場地圖分析
    • 依組件
    • 依部署模式
    • 依應用
    • 依最終用戶
    • 依國家/地區佔有率

第6章 北美保險分析市場展望，2018-2032

  • 市場規模分析與預測
    • 依價值
  • 市場佔有率分析與預測
    • 依組件
      • 軟體
      • 服務
    • 依部署模式
      • 本地部署
      • 雲端
    • 依應用
      • 理賠管理
      • 風險管理
      • 客戶關係管理與個人化
      • 詐欺偵測
      • 其他
    • 依最終用戶
      • 保險公司
      • 第三方管理機構
      • 經紀人和代理人
      • 其他
    • 依國家/地區
      • 美國
      • 加拿大
      • 墨西哥
  • 國家/地區市場評估
    • 美國保險分析市場展望，2018-2032
      • 市場規模分析與預測
      • 市場佔有率分析與預測
    • 加拿大
    • 墨西哥

第7章 歐洲保險分析市場展望2018-2032

  • 德國
  • 法國
  • 義大利
  • 英國
  • 俄羅斯
  • 荷蘭
  • 西班牙
  • 土耳其
  • 波蘭

第8章 亞太地區保險分析市場展望，2018-2032

  • 印度
  • 中國
  • 日本
  • 澳洲
  • 越南
  • 韓國
  • 印尼
  • 菲律賓

第9章 南美洲保險分析市場展望，2018-2032

  • 巴西
  • 阿根廷

第10章 中東與非洲保險分析市場展望，2018-2032

  • 沙烏地阿拉伯
  • 阿拉伯聯合大公國
  • 南非

第11章 需求與供給分析

第12章 價值鏈分析

第13章 波特五力分析

第14章 PESTLE分析

第15章 市場動態

  • 市場驅動因素
  • 市場挑戰

第16章 市場趨勢與發展

第17章 訂閱模式（基於使用量 vs. 固定費用）

第18章 個案分析研究

第19章 競爭格局

  • 五大市場領導者競賽矩陣
  • 五大公司SWOT分析
  • 市場十大主要參與者情勢
    • SAS Institute Inc.
    • Salesforce, Inc.
    • International Business Machines Corporation（IBM）
    • Oracle Corporation
    • Guidewire Software, Inc.
    • Microsoft Corporation
    • Verisk Analytics, Inc.
    • Tableau Software, LLC
    • OpenText Corporation
    • Palantir Technologies Inc.

第20章 策略建議

第21章 關於調查公司及免責聲明

Product Code: MX13604

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

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

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

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

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

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

Rising Demand for Data-Driven Risk Assessment and Fraud Detection

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

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

Risk Management Analytics Holds the Largest Global Insurance Analytics Market Share

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

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

North America Dominates the Global Insurance Analytics Market Size

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

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

Key Players Landscape and Outlook

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

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

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customers

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

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

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

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

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

All segments will be provided for all regions and countries covered

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

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

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

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

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

  • 9.1. Brazil
  • 9.2. Argentina

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

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

11. Demand Supply Analysis

12. Value Chain Analysis

13. Porter's Five Forces Analysis

14. PESTLE Analysis

15. Market Dynamics

  • 15.1. Market Drivers
  • 15.2. Market Challenges

16. Market Trends and Developments

17. Subscription Models (Usage-Based vs Fixed)

18. Case Studies

19. Competitive Landscape

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

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

20. Strategic Recommendations

21. About Us and Disclaimer

List of Tables

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

List of Figures

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