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Global Insurance Analytics Market Outlook to 2028

Region:Global

Author(s):Sanjna Verma

Product Code:KROD7117

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Published On

December 2024

Total pages

83

About the Report

Global Insurance Analytics Market Overview

  • Global insurance analytics market is valued at USD 13 billion, based on a five-year historical analysis. This market has been significantly driven by the increasing adoption of data analytics tools by insurance companies, aiming to enhance claims management, fraud detection, and underwriting processes. The insurance industry is increasingly reliant on data-driven decision-making, using advanced analytics to boost operational efficiency and customer retention.

market overviews

  • Countries such as the United States and the United Kingdom dominate the insurance analytics market due to their advanced insurance sectors, large consumer bases, and strong regulatory frameworks supporting digital transformation in insurance. The U.S. is a key player owing to its early adoption of big data and machine learning tools in the insurance industry, while the U.K. benefits from strong government support and a tech-driven insurance ecosystem.
  • Data privacy regulations like GDPR (Europe) and CCPA (California) have had a profound impact on the insurance industry. By 2023, global insurers faced over $1.5 billion in fines due to non-compliance with GDPR alone. These regulations mandate strict data handling procedures, compelling insurers to invest heavily in analytics tools that ensure data privacy and transparency. In the U.S., the CCPA has introduced new challenges for insurers managing customer data, further driving the adoption of privacy-compliant analytics platforms.

Global Insurance Analytics Market Segmentation

By Deployment Type: The insurance analytics market is segmented by deployment type into cloud-based analytics and on-premise analytics. Recently, cloud-based analytics hold a dominant market share in this segmentation due to their scalability, cost-effectiveness, and ease of integration. Insurance companies prefer cloud solutions to enhance real-time data processing, reduce overheads, and maintain flexibility in deployment. The adoption of cloud-based platforms is also accelerated by the growing need for remote access and business continuity, especially in the post-pandemic era.

market overviews

By Region: The insurance analytics market is segmented by region into North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. North America leads this segmentation, driven by the widespread adoption of big data technologies and a mature insurance market. The U.S., in particular, continues to dominate due to technological advancements, a high level of digital transformation, and regulatory compliance mandates that require real-time data analytics solutions.

market overviews

By Application: The insurance analytics market is segmented by application into risk management and fraud detection, claims management, customer retention and acquisition, and pricing and underwriting optimization. Risk management and fraud detection dominate this segment, as insurers increasingly rely on advanced analytics tools to mitigate risks and detect fraudulent activities in real-time. The use of predictive models helps in preventing fraud before it happens, and insurers are investing heavily in AI and machine learning to enhance these capabilities.

Global Insurance Analytics Market Competitive Landscape

The global insurance analytics market is dominated by key players focusing on innovation, partnerships, and acquisitions to strengthen their market position. Leading companies have adopted various strategies to integrate advanced technologies such as AI, machine learning, and big data analytics into their platforms, creating a competitive edge. Additionally, firms are expanding into emerging markets and forging strategic alliances with FinTech and InsurTech firms.

Company Name

Establishment Year

Headquarters

Data Analytics Tools

AI Capabilities

Key Clients

Global Footprint

Revenue (USD Bn)

No. of Employees

IBM Corporation

1911

New York, USA

-

-

-

-

-

-

Oracle Corporation

1977

Texas, USA

-

-

-

-

-

-

Microsoft Corporation

1975

Washington, USA

-

-

-

-

-

-

SAS Institute Inc.

1976

North Carolina, USA

-

-

-

-

-

-

Salesforce, Inc.

1999

San Francisco, USA

-

-

-

-

-

-

Global Insurance Analytics Market Analysis

Growth Drivers

  • Increased Digitalization: The global digital transformation in the insurance industry was significantly bolstered by cloud-based infrastructure. In 2023, over 60% of insurers worldwide reported integrating real-time analytics for claims processing and fraud detection, reducing manual errors and increasing efficiency. Predictive analytics, specifically for customer behavior modeling and risk assessment, also saw a rise in adoption, leading to faster claim settlements.
  • Data-Driven Decision Making: The adoption of data-driven decision-making processes in claims management has reduced fraud and improved operational efficiency. In 2023, insurers using advanced analytics identified and prevented nearly $40 billion in fraudulent claims globally. The shift to predictive models in fraud detection and customer relationship management has also helped insurers optimize policies, ensuring quicker claim approvals.
  • Regulatory Compliance Requirements: The insurance industry is under pressure to comply with global regulatory standards like GDPR (General Data Protection Regulation), IFRS 17 (International Financial Reporting Standard), and Solvency II. In Europe, 70% of insurers implemented compliance solutions for Solvency II by 2024, while GDPR's data privacy mandates pushed for stricter handling of personal data across the insurance sector globally. The adoption of these regulations boosted investment in analytics to meet reporting standards.

Market Challenges

  • Data Privacy and Security Issues: The increasing use of analytics has heightened data privacy concerns, with cyberattacks on insurance companies growing. In 2023 alone, global insurance companies faced over 600 data breach incidents, exposing millions of records. As insurers deal with vast amounts of sensitive data, regulatory pressures for enhanced cybersecurity, such as those from the U.S. National Institute of Standards and Technology (NIST), drive investments in secure analytics platforms.
  • Integration Complexities: Insurance companies face challenges in integrating advanced analytics with legacy IT systems, especially in markets like North America and Europe, where systems are decades old. In 2023, over 40% of global insurers reported operational inefficiencies due to data silos, which slow down the adoption of real-time analytics. Complexities arise in integrating unstructured data from legacy systems with predictive models, delaying the benefits of data-driven decision-making.

Global Insurance Analytics Market Future Outlook

Global insurance analytics market is expected to witness substantial growth, driven by the continued advancements in data analytics technologies, the rise of artificial intelligence, and the increasing focus on regulatory compliance. Insurance companies are projected to invest heavily in analytics solutions to enhance customer experience, optimize underwriting processes, and strengthen fraud detection capabilities. The shift towards digital transformation in the insurance sector and the growing adoption of cloud-based solutions will further support market expansion.

Market Opportunities

  • Growing Adoption of Cloud-Based Analytics Solutions: Cloud adoption has transformed the insurance analytics landscape, providing scalable infrastructure for real-time analytics and data storage. In 2023, over 65% of global insurers shifted to cloud-based analytics platforms, with North America leading in cloud adoption. As insurers seek greater agility and innovation, cloud-based platforms are expected to dominate the analytics space, simplifying regulatory compliance and reducing operational costs.
  • Emerging Markets Expansion: The insurance analytics market in emerging economies like Asia-Pacific and Latin America is expanding rapidly. In 2023, the Asia-Pacific region witnessed a 30% increase in analytics adoption by insurance companies due to rising demand for digital transformation. Latin America, led by Brazil and Mexico, saw increased investments in analytics technologies, driven by regulatory reforms and growing customer bases.

Scope of the Report

By Deployment Type

Cloud-Based Analytics

On-Premise Analytics

By Application

Risk Management and Fraud Detection

Claims Management

Customer Retention and Acquisition

Pricing and Underwriting Optimization

By Organization Size

Large Enterprises

Small and Medium Enterprises (SMEs)

By End-User

Life Insurance

Health Insurance

Property and Casualty Insurance

Travel Insurance

By Region

North America

Europe

Asia-Pacific

Latin America

Middle East & Africa

Products

Key Target Audience

  • Insurance Companies
  • InsurTech Startups
  • Financial Institutions
  • Cloud Service Providers
  • Data Analytics Firms
  • Risk Management Firms
  • Investors and Venture Capitalist Firms
  • Government and Regulatory Bodies (e.g., Financial Conduct Authority, National Association of Insurance Commissioners)

Companies

Major Players

  • IBM Corporation
  • Oracle Corporation
  • Microsoft Corporation
  • SAS Institute Inc.
  • Salesforce, Inc.
  • Tableau Software
  • Vertafore, Inc.
  • LexisNexis Risk Solutions
  • Sapiens International Corporation
  • OpenText Corporation
  • MicroStrategy Incorporated
  • Pegasystems Inc.
  • Qlik Technologies
  • Guidewire Software Inc.
  • SAP SE

Table of Contents

1. Global Insurance Analytics Market Overview

1.1 Definition and Scope

1.2 Market Taxonomy

1.3 Market Dynamics

1.4 Market Segmentation Overview

2. Global Insurance Analytics Market Size (In USD Bn)

2.1 Historical Market Size

2.2 Year-on-Year Growth Analysis

2.3 Key Market Developments and Milestones

3. Global Insurance Analytics Market Analysis

3.1 Growth Drivers

3.1.1 Increased Digitalization (Real-Time Analytics, Predictive Analytics Integration)

3.1.2 Data-Driven Decision Making (Claims Management, Fraud Detection, Customer Retention)

3.1.3 Regulatory Compliance Requirements (GDPR, IFRS 17, Solvency II)

3.1.4 Rising Demand for Personalized Insurance Products

3.2 Market Challenges

3.2.1 Data Privacy and Security Issues (Data Breaches, Cybersecurity Risks)

3.2.2 Integration Complexities (Legacy Systems, Data Silos)

3.2.3 High Implementation Costs

3.2.4 Limited Skilled Workforce (Analytics Talent Shortage)

3.3 Opportunities

3.3.1 Growing Adoption of Cloud-Based Analytics Solutions

3.3.2 Emerging Markets Expansion (Asia-Pacific, Latin America)

3.3.3 Collaboration with FinTech and InsurTech Startups

3.3.4 Investment in AI, Machine Learning, and Blockchain Technologies

3.4 Trends

3.4.1 Usage-Based Insurance (UBI) Models

3.4.2 Predictive and Prescriptive Analytics Adoption

3.4.3 Rise in Self-Service Analytics Platforms

3.4.4 Increased Usage of AI-Powered Chatbots and Virtual Assistants

3.5 Government Regulation

3.5.1 Regulatory Framework (IFRS 17, Solvency II)

3.5.2 Data Privacy Laws (GDPR, CCPA)

3.5.3 Cyber Insurance Guidelines (Cyber Risk Management)

3.5.4 FinTech and InsurTech Regulations

3.6 SWOT Analysis (Strengths, Weaknesses, Opportunities, Threats)

3.7 Stakeholder Ecosystem (Insurers, Policyholders, Data Providers, Analytics Vendors)

3.8 Porters Five Forces Analysis

3.9 Competitive Landscape

4. Global Insurance Analytics Market Segmentation

4.1 By Deployment Type (In Value %)

4.1.1 Cloud-Based Analytics

4.1.2 On-Premise Analytics

4.2 By Application (In Value %)

4.2.1 Risk Management and Fraud Detection

4.2.2 Claims Management

4.2.3 Customer Retention and Acquisition

4.2.4 Pricing and Underwriting Optimization

4.3 By Organization Size (In Value %)

4.3.1 Large Enterprises

4.3.2 Small and Medium Enterprises (SMEs)

4.4 By End-User (In Value %)

4.4.1 Life Insurance

4.4.2 Health Insurance

4.4.3 Property and Casualty Insurance

4.4.4 Travel Insurance

4.5 By Region (In Value %)

4.5.1 North America

4.5.2 Europe

4.5.3 Asia-Pacific

4.5.4 Latin America

4.5.5 Middle East & Africa

5. Global Insurance Analytics Market Competitive Analysis

5.1 Detailed Profiles of Major Competitors

5.1.1 IBM Corporation

5.1.2 Oracle Corporation

5.1.3 SAP SE

5.1.4 Microsoft Corporation

5.1.5 SAS Institute Inc.

5.1.6 Salesforce, Inc.

5.1.7 Tableau Software

5.1.8 Vertafore, Inc.

5.1.9 LexisNexis Risk Solutions

5.1.10 Sapiens International Corporation

5.1.11 OpenText Corporation

5.1.12 MicroStrategy Incorporated

5.1.13 Pegasystems Inc.

5.1.14 Qlik Technologies

5.1.15 Guidewire Software Inc.

5.2 Cross Comparison Parameters (No. of Employees, Revenue, Headquarters, Data Analytics Tools, AI Capabilities, Key Clients, Cybersecurity Solutions, Global Footprint)

5.3 Market Share Analysis

5.4 Strategic Initiatives (Partnerships, Joint Ventures, Collaborations)

5.5 Mergers and Acquisitions

5.6 Investment Analysis

5.7 Venture Capital Funding

5.8 Government Grants

5.9 Private Equity Investments

6. Global Insurance Analytics Market Regulatory Framework

6.1 Data Privacy Regulations (GDPR, CCPA)

6.2 Compliance Requirements (Solvency II, IFRS 17)

6.3 Cybersecurity Protocols (NIST, ISO/IEC 27001)

7. Global Insurance Analytics Future Market Size (In USD Bn)

7.1 Future Market Size Projections

7.2 Key Factors Driving Future Market Growth

8. Global Insurance Analytics Future Market Segmentation

8.1 By Deployment Type (In Value %)

8.2 By Application (In Value %)

8.3 By Organization Size (In Value %)

8.4 By End-User (In Value %)

8.5 By Region (In Value %)

9. Global Insurance Analytics Market Analysts Recommendations

9.1 TAM/SAM/SOM Analysis

9.2 Customer Cohort Analysis

9.3 Marketing Initiatives

9.4 White Space Opportunity Analysis

Disclaimer

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Research Methodology

Step 1: Identification of Key Variables

The first step involves identifying key variables within the global insurance analytics market. This is achieved through extensive desk research, leveraging both secondary and proprietary databases. The goal is to map out the market ecosystem and highlight critical stakeholders influencing market trends.

Step 2: Market Analysis and Construction

At this stage, historical data on the global insurance analytics market is gathered and analyzed to assess market penetration, the revenue contributions from various segments, and the performance of major players. The data collected is cross-verified to ensure accuracy.

Step 3: Hypothesis Validation and Expert Consultation

In this step, we validate market assumptions through direct engagement with industry experts. Computer-assisted telephone interviews (CATIs) are conducted with professionals from insurance firms and analytics service providers, helping to refine our findings.

Step 4: Research Synthesis and Final Output

The final stage involves synthesizing the research and validating the findings through consultations with top insurance analytics providers. This step ensures that the data reflects an accurate representation of the market landscape.

Frequently Asked Questions

01. How big is the global insurance analytics market?

The global insurance analytics market is valued at USD 13 billion, driven by the adoption of data-driven decision-making tools and the increased focus on compliance and regulatory requirements within the insurance industry.

02. What are the challenges in the global insurance analytics market?

Key challenges in Global Insurance Analytics market include data privacy and security concerns, integration complexities with legacy systems, and the high costs of implementing advanced analytics solutions.

03. Who are the major players in the global insurance analytics market?

Leading players of Global Insurance Analytics Market include IBM Corporation, Oracle Corporation, Microsoft Corporation, SAS Institute Inc., and Salesforce, Inc., all of which are known for their advanced data analytics tools and global presence.

04. What are the growth drivers of the global insurance analytics market?

Growth of Global Insurance Analytics Market is driven by the increasing adoption of cloud-based analytics solutions, rising demand for personalized insurance products, and regulatory compliance requirements that necessitate real-time data analytics.

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