세계의 보험 분석 시장 : 용도, 최종 사용자, 도입 형태, 조직 규모별 예측(2025-2030년)

The Insurance Analytics Market was valued at USD 19.70 billion in 2023, expected to reach USD 22.63 billion in 2024, and is projected to grow at a CAGR of 15.23%, to USD 53.18 billion by 2030.

Insurance analytics refers to the utilization of advanced data analysis tools and techniques to enhance decision-making processes in the insurance sector, encompassing tasks such as risk assessment, fraud detection, customer behavior analytics, and operational efficiency improvement. The necessity for insurance analytics arises from the industry's increasing need to optimize premium pricing, improve claims management, and enhance customer service amidst rising competition and regulatory demands. The application of insurance analytics extends across various functions such as underwriting, customer relationship management, and marketing, with significant end-use in sectors like life insurance, health insurance, and property and casualty insurance. Market growth within insurance analytics is largely influenced by technological advancements like artificial intelligence, machine learning, and big data analytics, enabling insurers to extract actionable insights from vast data sets. Growing digitalization within the financial services sector further propels this trend by facilitating the adoption of telematics and IoT-enabled devices. Key opportunities lie in enhancing cybersecurity measures and personalizing products through predictive analytics and real-time data analysis to meet diverse customer needs. However, the market faces challenges, including data privacy concerns, resistance to technological adoption, and the need for high initial investments. The limitations also involve managing vast amounts of unstructured data and maintaining data quality and accuracy. To overcome these challenges and drive innovation, businesses should focus on areas such as developing advanced algorithms for more precise risk assessment, exploring blockchain for secure data transactions, and leveraging cloud computing for scalability and cost-efficiency. Emphasizing investment in skilled data professionals and fostering partnerships with tech firms can enhance the market's adaptability. The nature of the insurance analytics market is dynamic and rapidly evolving, demanding continuous innovation and strategic adaptation to sustain growth and leverage new technological capabilities effectively.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Insurance Analytics Market

The Insurance Analytics Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Rising adoption of data-driven decision-making technologies across insurance companies
  • Expanding digital infrastructure and increasing fraudulent activities in insurance companies
  • Growing demand for IoT insurance worldwide
• Market Restraints
  • Difficulty in integrating insurance platforms with legacy systems
• Market Opportunities
  • Emerging of cloud-based digital insurance solutions
  • Innovative data-driven tech transforming insurance analytics
• Market Challenges
  • Data security and privacy issues with insurance analytics platforms

Porter's Five Forces: A Strategic Tool for Navigating the Insurance Analytics Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Insurance Analytics Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Insurance Analytics Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Insurance Analytics Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Insurance Analytics Market

A detailed market share analysis in the Insurance Analytics Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Insurance Analytics Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Insurance Analytics Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Insurance Analytics Market

A strategic analysis of the Insurance Analytics Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Insurance Analytics Market, highlighting leading vendors and their innovative profiles. These include Applied Systems, Arceo.AI, Artivatic.AI, Board International, Bridgei2I, Cybercube, Guidewire Software, Habit Analytics, Hexaware Technologies, IBM, Insuredmine, Lexisnexis Risk Solutions, Microsoft, Microstrategy, Opentext, Oracle, Pegasystems, Pentation Analytics, Qlik, Refocus AI, Riskville, Salesforce, Sap, Sapiens, Sas Institute, Tibco, Verisk Analytics, Vertafore, and WNS.

Market Segmentation & Coverage

This research report categorizes the Insurance Analytics Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Application, market is studied across Claims Management, Customer Management and Personalization, Process Optimization, and Risk Management.
• Based on End-user, market is studied across Brokers & Consultancies, Government Agencies, Insurance Companies, and Third-party Administrators.
• Based on Deployment Mode, market is studied across On-Cloud and On-Premises.
• Based on Organization Size, market is studied across Large Enterprises and Small and Medium-Sized Enterprises.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Rising adoption of data-driven decision-making technologies across insurance companies
    • 5.1.1.2. Expanding digital infrastructure and increasing fraudulent activities in insurance companies
    • 5.1.1.3. Growing demand for IoT insurance worldwide
  • 5.1.2. Restraints
    • 5.1.2.1. Difficulty in integrating insurance platforms with legacy systems
  • 5.1.3. Opportunities
    • 5.1.3.1. Emerging of cloud-based digital insurance solutions
    • 5.1.3.2. Innovative data-driven tech transforming insurance analytics
  • 5.1.4. Challenges
    • 5.1.4.1. Data security and privacy issues with insurance analytics platforms
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Insurance Analytics Market, by Application

• 6.1. Introduction
• 6.2. Claims Management
• 6.3. Customer Management and Personalization
• 6.4. Process Optimization
• 6.5. Risk Management

7. Insurance Analytics Market, by End-user

• 7.1. Introduction
• 7.2. Brokers & Consultancies
• 7.3. Government Agencies
• 7.4. Insurance Companies
• 7.5. Third-party Administrators

8. Insurance Analytics Market, by Deployment Mode

• 8.1. Introduction
• 8.2. On-Cloud
• 8.3. On-Premises

9. Insurance Analytics Market, by Organization Size

• 9.1. Introduction
• 9.2. Large Enterprises
• 9.3. Small and Medium-Sized Enterprises

10. Americas Insurance Analytics Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Insurance Analytics Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Insurance Analytics Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Applied Systems
• 2. Arceo.AI
• 3. Artivatic.AI
• 4. Board International
• 5. Bridgei2I
• 6. Cybercube
• 7. Guidewire Software
• 8. Habit Analytics
• 9. Hexaware Technologies
• 10. IBM
• 11. Insuredmine
• 12. Lexisnexis Risk Solutions
• 13. Microsoft
• 14. Microstrategy
• 15. Opentext
• 16. Oracle
• 17. Pegasystems
• 18. Pentation Analytics
• 19. Qlik
• 20. Refocus AI
• 21. Riskville
• 22. Salesforce
• 23. Sap
• 24. Sapiens
• 25. Sas Institute
• 26. Tibco
• 27. Verisk Analytics
• 28. Vertafore
• 29. WNS