【レポートの概要(一部)】
1 Introduction (Page No. – 19)
1.1 Objectives of the Study
1.2 Market Definition
1.3 Market Scope
1.3.1 Market Segmentation
1.3.2 Regions Covered
1.4 Years Considered for the Study
1.5 Currency Considered
1.6 Stakeholders
2 Research Methodology (Page No. – 23)
2.1 Research Data
2.1.1 Secondary Data
2.1.2 Primary Data
2.1.2.1 Breakup of Primary Profiles
2.1.2.2 Key Industry Insights
2.2 Market Breakup and Data Triangulation
2.3 Market Size Estimation
2.3.1 Top-Down Approach
2.3.2 Bottom-Up Approach
2.4 Market Forecast
2.5 Assumptions for the Study
2.6 Limitations of the Study
3 Executive Summary (Page No. – 31)
4 Premium Insights (Page No. – 35)
4.1 Attractive Market Opportunities in the Insurance Fraud Detection Market
4.2 Market By Component, 2019–2024
4.3 Market By Solution, 2019–2024
4.4 Market Market Share of Top 3 Solutions and Regions, 2019
4.5 Market By Organization Size, 2019
4.6 Market By Deployment Mode, 2019
4.7 Market Investment Scenario
5 Insurance Fraud Detection Market Overview and Industry Trends (Page No. – 39)
5.1 Introduction
5.2 Market Dynamics
5.2.1 Drivers
5.2.1.1 Need to Effectively Manage Huge Volumes of Identities By Organizations
5.2.1.2 Increasing Adoption of Advanced Analytics Techniques
5.2.1.3 Improved Operational Efficiency and Enhanced Customer Experience
5.2.1.4 Stringent Regulatory Compliances
5.2.2 Restraints
5.2.2.1 Insurance Institutions Lack Awareness Regarding the Fraud Detection Solutions
5.2.3 Opportunities
5.2.3.1 Increasing Adoption of IoT and Byod Trends
5.2.3.2 Proliferation of Cloud-Based Insurance Fraud Detection Solutions and Services Among Global Organizations
5.2.4 Challenges
5.2.4.1 Improper Implementation and Lack of Integration of Fraud Detection Solutions Across Organization Networks
5.3 Regulatory Compliances
5.3.1 Know Your Customer (KYC)
5.3.2 Anti-Money Laundering (AML)
5.3.3 General Data Protection Regulation (GDPR)
5.3.4 Electronic Identification, Authentication, and Trust Services (EIDAS)
5.4 Innovation Spotlight
5.5 Use Cases
5.5.1 Insurance Fraud Detection By BAE Systems
5.5.2 Claims Fraud Detection in Insurance, By Aureus Analytics
5.5.3 Optimizing Investigation Process for Identifying Additional Premium Opportunities, By Prads Inc.
6 Insurance Fraud Detection Market By Component (Page No. – 47)
6.1 Introduction
6.2 Solutions
6.2.1 Increasing Fraudulent Activities to Drive the Adoption of Insurance Fraud Detection Solutions
6.3 Services
6.3.1 Growing Need for Seamless Experience and Personalized Services to Fuel the Demand for Services
7 Insurance Fraud Detection Market By Solution (Page No. – 51)
7.1 Introduction
7.2 Fraud Analytics
7.2.1 Predictive Analytics
7.2.1.1 Need to Identify Potential Threats and Claim Frauds in Insurance Processes to Drive the Adoption of Predictive Analytics Solutions
7.2.2 Descriptive Analytics
7.2.2.1 Need for Interpretation of Historical Data to Yield Useful Information to Boost the Adoption of Descriptive Analytics Solutions in the Insurance Sector
7.2.3 Social Media Analytics
7.2.3.1 Need to Identify Suspicious Patterns Through Specialized Algorithms for Effective Fraud Detection Driving the Adoption of Social Media Analytics Solutions in the Insurance Sector
7.2.4 Big Data Analytics
7.2.4.1 Need for Advanced Analytical Solution That Proactively Defends Against Fraudulent Activities to Drive the Adoption of Big Data Analytics Solutions in the Insurance Sector
7.3 Authentication
7.3.1 Single-Factor Authentication
7.3.1.1 Need for Simple and Less Complex Form of Authentication Solutions to Boost the Adoption of Sfa Solutions
7.3.2 Multi-Factor Authentication
7.3.2.1 Need to Secure Data and Information Against Frauds Driving the Adoption of Mfa Solutions
7.3.3 Risk-Based Authentication
7.3.3.1 Need to Analyze Risk Levels and Apply Stringent Authentication Processes Driving the Adoption of Rba Solutions
7.4 Governance, Risk, and Compliance
7.4.1 Need to Adhere to Various Compliances and Mitigate Risk Driving the Adoption of Grc Solutions
7.5 Others
8 Insurance Fraud Detection Market By Service (Page No. – 64)
8.1 Introduction
8.2 Professional Services
8.2.1 Consulting Services
8.2.1.1 Growing Need for Highly-Qualified Experts, Domain Experts, and Security Professionals to Fuel the Demand for Consulting Services
8.2.2 Training and Education
8.2.2.1 Increasing Need for Skilled Security Professionals to Fuel the Demand for Training and Education Services
8.2.3 Support and Maintenance
8.2.3.1 Growing Need for Installation, Maintenance, and Other Support Activities to Boost the Demand for Support and Maintenance Services
8.3 Managed Services
8.3.1 Growing Need for Technical Expertise to Maintain and Update Insurance Fraud Detection Solutions to Boost the Demand for Managed Services
9 Insurance Fraud Detection Market By Application Area (Page No. – 70)
9.1 Introduction
9.2 Claims Fraud
9.2.1 Rise in Fraudulent Claims in Healthcare, Life, and Motor Insurance Areas to Boost the Adoption of Insurance Fraud Detection Solutions
9.3 Identity Theft
9.3.1 Growing Identity-Related Frauds to Fuel the Adoption of Insurance Fraud Detection Solutions
9.4 Payment Fraud and Billing Fraud
9.4.1 Increasing Fraudulent Activities Related to Digital Transactions and Payments to Boost the Adoption of Insurance Fraud Detection Solutions
9.5 Money Laundering
9.5.1 Need to Detect and Prevent Growing Money Laundering Activities to Boost the Adoption of Insurance Fraud Detection Solutions
10 Insurance Fraud Detection Market By Deployment Mode (Page No. – 73)
10.1 Introduction
10.2 Cloud
10.2.1 Low Cost of Installation, Upgrade, and Maintenance to Boost the Adoption of Cloud-Based Insurance Fraud Detection Solutions
10.3 On-Premises
10.3.1 Need to Secure the In-House Applications, Platforms, and Systems Against Operational Frauds to Fuel the Adoption of On-Premises Insurance Fraud Detection Solutions
11 Insurance Fraud Detection Market By Organization Size (Page No. – 77)
11.1 Introduction
11.2 Small and Medium-Sized Enterprises
11.2.1 Growing Fraudulent Activities to Drive the Adoption of Insurance Fraud Detection Solutions Among Small and Medium-Sized Enterprises
11.3 Large Enterprises
11.3.1 Increasing Financial Losses and Hefty Fines for Regulatory Non-Compliance to Boost the Adoption of Insurance Fraud Detection Solutions Among Large Enterprises
12 Insurance Fraud Detection Market By Region (Page No. – 81)
12.1 Introduction
12.2 North America
12.2.1 United States
12.2.1.1 Increasing Investments By the Insurance Sector in Fraud Detection Solutions to Drive the Growth of Market in the United States
12.2.2 Canada
12.2.2.1 Government Initiatives to Safeguard Network Systems Against Frauds Driving the Growth of Market in Canada
12.3 Europe
12.3.1 United Kingdom
12.3.1.1 Growing Trend of Byod and Increased Use of Applications in Enterprises and Threat to Organizational Data Driving the Growth of Market in the United Kingdom
12.3.2 Germany
12.3.2.1 Rising Use of Online Transactions to Pay Premiums and Increasing Threat to Confidential Information Driving the Growth of Market in Germany
12.3.3 France
12.3.3.1 Growing Money Laundering and Identity Impersonation to Fuel the Growth of Market in France
12.3.4 Rest of Europe
12.4 Asia Pacific
12.4.1 China
12.4.1.1 Increasing Need to Secure Apis, Mobile Apps, and Websites From Fraudsters to Contribute to the Growth of Market in China
12.4.2 Japan
12.4.2.1 Increasing Number of Potential Frauds Due to High Internet Penetration to Fuel the Growth of Market in Japan
12.4.3 India
12.4.3.1 Growing Adoption of Fraud Detection Solutions in the Insurance Sector Due to Increase in Mobile Applications Use, Digitalization of Various Services, and Rise in Fraud Attacks to Drive the Adoption of Insurance Fraud Detection Solutions on A Large Scale in India
12.4.4 Rest of Asia Pacific
12.5 Middle East and Africa
12.5.1 Middle East
12.5.1.1 Increasing Frauds in the Insurance Vertical to Drive the Growth of Insurance Fraud Detection Market in the Middle East
12.5.2 Africa
12.5.2.1 Hefty Financial Losses Due to Fraudulent Attacks Across the Insurance Organizations to Contribute to the Growth of Market in Africa
12.6 Latin America
12.6.1 Brazil
12.6.1.1 Increasing Investments By SMEs and Large Enterprises Due to Growing Frauds Across Endpoints, Networks, and Applications to Drive the Growth of Market in Brazil
12.6.2 Mexico
12.6.2.1 Increasing Fraud Attacks on Insurance Verticals to Drive the Growth of Market in Mexico
12.6.3 Rest of Latin America
13 Competitive Landscape (Page No. – 108)
13.1 Competitive Leadership Mapping
13.1.1 Visionary Leaders
13.1.2 Innovators
13.1.3 Dynamic Differentiators
13.1.4 Emerging Companies
13.2 Strength of Product Portfolio
13.3 Business Strategy Excellence
13.4 Competitive Scenario
13.4.1 Partnerships, Agreements, and Collaborations
13.4.2 Mergers and Acquisitions
13.4.3 New Product Launches/Product Enhancements
13.4.4 Business Expansions
14 Company Profiles (Page No. – 116)
14.1 Introduction
(Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View)*
14.2 FICO
14.3 IBM
14.4 BAE Systems
14.5 SAS Institute
14.6 Experian
14.7 Lexisnexis
14.8 Iovation
14.9 Friss
14.10 SAP
14.11 Fiserv
14.12 ACI Worldwide
14.13 Simility
14.14 Kount
14.15 Software AG
14.16 Bridgei2i Analytics Solutions
14.17 Perceptiviti
*Details on Business Overview, Products & Services, Key Insights, Recent Developments, SWOT Analysis, MnM View Might Not Be Captured in Case of Unlisted Companies.
15 Appendix (Page No. – 148)
15.1 Discussion Guide
15.2 Knowledge Store: Marketsandmarkets’ Subscription Portal
15.3 Available Customizations
15.4 Related Reports
15.5 Author Details
【レポート販売概要】
■ タイトル:保険詐欺検知の世界市場予測(~2024年)■ 英文:Insurance Fraud Detection Market by Component (Solutions (Fraud Analytics, Authentication, and GRC), Service) Application Area (Claims Fraud, Identity Theft, Payment and Billing Fraud, and Money Laundering), Deployment Mode, Organization Size, and Region - Global Forecast to 2024
■ 発行日:2019年6月25日
■ 調査会社:MarketsandMarkets
■ 商品コード:TC-7184
■ 調査対象地域:グローバル
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