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Insurance Analytic Market Research Report: By Industry Vertical (Banking, Insurance, Healthcare, Manufacturing, Retail), By Deployment Type (On-premises, Cloud, Hybrid), By Application (Fraud Detection, Risk Assessment, Pricing Optimization, Customer Segmentation, Underwriting Automation), By Component (Software, Services, Consulting), By End User Type (Large Enterprises, Small and Medium-sized Enterprises (SMEs), Individuals) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2032.


ID: MRFR/ICT/24975-HCR | 111 Pages | Author: Aarti Dhapte| December 2024

Insurance Analytic Market Overview


As per MRFR analysis, the Insurance Analytic Market Size was estimated at 6.22 (USD Billion) in 2022.The Insurance Analytic Market Industry is expected to grow from 6.94(USD Billion) in 2023 to 18.67 (USD Billion) by 2032. The Insurance Analytic Market CAGR (growth rate) is expected to be around 11.62% during the forecast period (2024 - 2032).


Key Insurance Analytic Market Trends Highlighted


Key market drivers for insurance analytics include the increasing volume and complexity of data, the need for insurers to improve their risk assessment and pricing capabilities, and the growing demand for personalized insurance products. Opportunities to be explored or captured include the development of new and innovative insurance analytics solutions, the expansion of insurance analytics into new markets, and the integration of insurance analytics with other technologies such as artificial intelligence and machine learning. Recent trends in insurance analytics include the adoption of cloud-based solutions, the use of big data and data mining techniques, and the development of predictive analytics models. Insurers are increasingly using insurance analytics to improve their underwriting, claims processing, and customer service operations.


Insurance Analytic Market Overview


Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Insurance Analytic Market Drivers


Increasing Adoption of AI and Machine Learning


The insurance industry is swiftly taking adoptive measures to implement artificial intelligence and machine learning. AI and ML algorithms allow for the analysis of large data volumes to identify patterns and trends, allowing insurers to develop more precise pricing and risk assessment methods, identify fraudulent claims and offer personalized products and services. For instance, AI chatbots can be used to provides customers with personalized advice and assistance in selecting the right type of insurance.According to the Insurance Analytic Market Industry , AI and ML will be the dominant drivers of growth in the Insurance Analytics Market Industry in the years to come.


Growing Demand for Personalized Insurance Products


Customers are increasingly demanding personalized insurance products that meet their specific needs. This trend is being driven by the rise of digital technologies, which have made it easier for customers to compare insurance policies and find the best coverage for their needs. Insurers are responding to this demand by developing new products and services that are tailored to the individual needs of their customers. For example, some insurers are now offering usage-based insurance policies that track how much a customer drives and charge them accordingly.In the Insurance Analytic Market Industry, the demand for personalized insurance products is expected to continue to grow in the coming years.


Rising Regulatory Compliance Costs


Insurance companies face increasing costs related to regulatory compliance in the insurance industry. This fact drives the demand for insurance analytics solutions that can be used by insurers to automate compliance and reduce their risk of non-compliance and related losses. Insurance analytics solutions can be also used to identify the most significant compliance risks and create reports to be provided to regulators to demonstrate compliance.In the Insurance Analytic Market Industry regulatory compliance costs were identified as one of the trends that will continue to drive the demand for insurance analytics solutions in the next years.


Insurance Analytic Market Segment Insights


Insurance Analytic Market Industry Vertical Insights


The Insurance Analytic Market is segmented by Industry Vertical into Banking, Insurance, Healthcare, Manufacturing, and Retail. The Banking segment is expected to hold the largest market share in 2023, owing to the increasing adoption of analytics to improve customer service, identify fraud, and manage risk. The Insurance segment is also expected to witness significant growth, as insurers are increasingly using analytics to underwrite policies, assess risk, and prevent fraud. The Healthcare segment is expected to grow at a rapid pace, as healthcare providers are using analytics to improve patient care, reduce costs, and prevent disease.The Manufacturing segment is also expected to see strong growth, as manufacturers are using analytics to improve production efficiency, optimize supply chains, and predict demand.

The Retail segment is expected to grow steadily, as retailers are using analytics to understand customer behavior, optimize pricing, and improve inventory management. The Insurance Analytic Market is driven by several factors, including the increasing volume of data available, the growing sophistication of analytics tools, and the need for businesses to make better decisions.The market is also being driven by the increasing adoption of cloud computing, which is making it easier for businesses to access and use analytics tools. The Insurance Analytic Market is expected to grow significantly over the next five years. The growth of the market is expected to be driven by the increasing adoption of analytics by businesses of all sizes.


Insurance Analytic Market Industry Vertical

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review



Insurance Analytic Market Deployment Type Insights


Deployment Type Segment Insights and Overview The deployment type segment of the Insurance Analytic Market is classified into on-premises, cloud, and hybrid. The cloud deployment model is anticipated to dominate the market, capturing a substantial share of Insurance Analytic Market revenue in the coming years. The growing adoption of cloud-based solutions by insurance companies is driven by the numerous benefits offered by the cloud, such as scalability, flexibility, cost-effectiveness, and enhanced security. Additionally, the cloud deployment model allows insurance companies to access advanced analytics capabilities and real-time data insights, enabling them to make data-driven decisions and improve operational efficiency.

The on-premises deployment model is expected to hold a significant share of the market, as some insurance companies prefer to maintain control over their data and infrastructure. However, the market growth for on-premises deployment is projected to be slower compared to cloud deployment due to the high upfront investment and maintenance costs associated with on-premises solutions. The hybrid deployment model, which combines both cloud and on-premises deployments, is gaining traction as it offers a balance between flexibility and control. Insurance companies can leverage the benefits of cloud deployment while maintaining critical data and applications on-premises for security reasons.


Insurance Analytic Market Application Insights


The Application segment is a key component of the Insurance Analytic Market. The market is segmented into various applications, including Fraud Detection, Risk Assessment, Pricing Optimization, Customer Segmentation, and Underwriting Automation. Each application has its own unique characteristics and growth drivers, influencing the overall market dynamics. Fraud Detection is expected to witness significant growth due to the rising incidence of insurance fraud. Insurers are increasingly adopting analytic solutions to detect and prevent fraudulent claims, leading to substantial cost savings.Risk Assessment is another major application, with insurers leveraging analytics to assess and manage risks associated with underwriting insurance policies.

This helps them make informed decisions and optimize their risk portfolio. Pricing Optimization is gaining traction as insurers seek to optimize their pricing strategies based on individual risk profiles and market conditions. Analytic solutions enable insurers to determine the optimal price for each policy, maximizing profitability while remaining competitive. Customer Segmentation is crucial for insurers to understand their customers' needs and behaviors.Analytics helps insurers segment their customer base and tailor their products and services accordingly, leading to improved customer satisfaction and retention.

Underwriting Automation is revolutionizing the insurance industry by streamlining and automating the underwriting process. Analytic solutions enable insurers to automate tasks such as data gathering, risk assessment, and policy issuance, reducing underwriting time and costs while improving accuracy. This segment is projected to grow rapidly as insurers embrace digital transformation and seek to enhance operational efficiency.


Insurance Analytic Market Component Insights


The Insurance Analytic Market segmentation by Component comprises Software, Services, and Consulting. Software held the largest market share in 2023 and is projected to continue its dominance throughout the forecast period. The growth of the software segment can be attributed to the increasing adoption of data analytics solutions by insurance companies to improve their underwriting, pricing, and risk management capabilities. Services and Consulting segments are also expected to witness significant growth during the forecast period due to the growing demand for expert guidance and support in implementing and managing insurance analytics solutions.


Insurance Analytic Market End User Type Insights


The Insurance Analytic Market is segmented into 'Large Enterprises', 'Small and Medium-sized Enterprises (SMEs)', and 'Individuals' based on End User Type. Large Enterprises held the largest market share in 2023, accounting for over 63.2%. This is due to the increasing adoption of advanced analytics solutions by large enterprises to improve their risk management, underwriting, and claims processing capabilities.

SMEs are expected to witness significant growth over the forecast period due to the growing awareness of the benefits of insurance analytics and the increasing availability of affordable solutions.Individuals are also expected to contribute to market growth, as they become more aware of the importance of financial planning and risk management. Overall, the Insurance Analytic Market is expected to grow at a CAGR of 11.62% from 2023 to 2032, reaching a value of USD 18.67 billion by 2032.


Insurance Analytic Market Regional Insights


The Insurance Analytic Market is segmented regionally into North America, Europe, APAC, South America, and MEA. North America is the largest regional segment, accounting for over 40% of the market share. The region is home to a large number of insurance companies and brokers, as well as a growing number of InsurTech startups. Europe is the second-largest regional segment, with a market share of over 30%.

The region has a well-developed insurance industry, with a number of large, established insurance companies. APAC is the fastest-growing regional segment, with a market share of over 20%.The region is home to a rapidly growing number of insurance companies and brokers, as well as a large and increasingly affluent population. South America and MEA are the smallest regional segments, with market shares of around 5% and 2%, respectively. However, these regions are also experiencing growth, driven by increasing insurance penetration rates.


Insurance Analytic Market Regional

Source: Primary Research, Secondary Research, MRFR Database and Analyst Review


Insurance Analytic Market Key Players And Competitive Insights


Major players in Insurance Analytic Market industry are constantly innovating and developing new solutions to meet the evolving needs of the market. Leading Insurance Analytic Market players are investing heavily in research and development to stay ahead of the competition. The Insurance Analytic Market development is driven by the increasing adoption of digital technologies and the need for insurers to improve their operational efficiency and customer service. The Insurance Analytic Market Competitive Landscape is highly competitive, with a number of established players and new entrants vying for market share.A leading company in the Insurance Analytic Market is SAS Institute Inc.

The company offers a wide range of insurance analytics solutions, including fraud detection, risk management, and customer analytics. SAS Institute Inc. has a strong track record of innovation and has been recognized for its leadership in the insurance analytics market. The company has a presence and serves a wide range of insurance companies, from small businesses to large enterprises.A competitor company in the Insurance Analytic Market is LexisNexis Risk Solutions. The company offers a range of insurance analytics solutions, including underwriting, fraud detection, and claims management. LexisNexis Risk Solutions has a strong focus on data and analytics and has developed a number of innovative solutions to help insurers improve their decision-making. The company has a presence and serves a wide range of insurance companies, from small businesses to large enterprises.


Key Companies in the Insurance Analytic Market Include




  • LexisNexis Risk Solutions




  • Accenture




  • Microsoft




  • Willis Towers Watson




  • Oracle




  • Pegasystems




  • SAS Institute




  • Alteryx




  • SAP




  • TIBCO Software




  • Guidewire Software




  • FICO




  • IBM




  • Celonis




  • Informatica




Insurance Analytic Market Industry Developments


The insurance analytics market is projected to grow from USD 6.94 billion in 2023 to USD 18.67 billion by 2032, at a CAGR of 11.62% during the forecast period. The growth of the market is attributed to factors such as the increasing adoption of artificial intelligence (AI) and machine learning (ML) technologies by insurance companies, the rising need for data-driven decision-making, and the growing demand for personalized insurance products.Some recent news developments and current affairs in the insurance analytics market include:In March 2023, Accenture acquired Verisk's insurance technology unit for $5.6 billion.

This acquisition strengthens Accenture's position in the insurance analytics market and expands its portfolio of insurance software and services.In April 2023, Google Cloud and Duck Creek Technologies announced a partnership to offer a joint insurance analytics solution. This solution will combine Duck Creek's insurance core systems with Google Cloud's data analytics and AI capabilities.In May 2023, Amazon Web Services (AWS) launched a new insurance analytics platform called AWS Insurance Analytics. This platform provides insurers with a range of tools and services to help them analyze their data and make better decisions.


Insurance Analytic Market Segmentation Insights


 


Insurance Analytic Market Industry Vertical Outlook




  • Banking




  • Insurance




  • Healthcare




  • Manufacturing




  • Retail




Insurance Analytic Market Deployment Type Outlook




  • On-premises




  • Cloud




  • Hybrid




Insurance Analytic Market Application Outlook




  • Fraud Detection




  • Risk Assessment




  • Pricing Optimization




  • Customer Segmentation




  • Underwriting Automation




Insurance Analytic Market Component Outlook




  • Software




  • Services




  • Consulting




Insurance Analytic Market End User Type Outlook




  • Large Enterprises




  • Small and Medium-sized Enterprises (SMEs)




  • Individuals




Insurance Analytic Market Regional Outlook




  • North America




  • Europe




  • South America




  • Asia Pacific




  • Middle East and Africa



Report Attribute/Metric Details
Market Size 2022 6.22(USD Billion)
Market Size 2023 6.94(USD Billion)
Market Size 2032 18.67(USD Billion)
Compound Annual Growth Rate (CAGR) 11.62% (2024 - 2032)
Report Coverage Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Base Year 2023
Market Forecast Period 2024 - 2032
Historical Data 2019 - 2023
Market Forecast Units USD Billion
Key Companies Profiled LexisNexis Risk Solutions, Accenture, Microsoft, Willis Towers Watson, Oracle, Pegasystems, SAS Institute, Alteryx, SAP, TIBCO Software, Guidewire Software, FICO, IBM, Celonis, Informatica
Segments Covered Industry Vertical, Deployment Type, Application, Component, End User Type, Regional
Key Market Opportunities Predictive analytics AIdriven fraud detection Personalized insurance products Usagebased insurance Telematicsbased insurance
Key Market Dynamics Growing adoption of artificial intelligence AI and machine learning MLIncreasing demand for personalized insurance productsRising regulatory compliance requirementsSurge in data volumes and complexityEmergence of new technologies such as blockchain and IoT
Countries Covered North America, Europe, APAC, South America, MEA


Frequently Asked Questions (FAQ) :

The Insurance Analytic Market is expected to reach USD 6.94 billion in 2023.

The Insurance Analytic Market is projected to grow at a CAGR of 11.62% from 2023 to 2032.

North America is expected to hold the largest market share in the Insurance Analytic Market in 2023.

The underwriting segment is expected to hold the largest market share in the Insurance Analytic Market in 2023.

Some of the key competitors in the Insurance Analytic Market include SAS Institute, IBM, Oracle, SAP, and Microsoft.

The major factors driving the growth of the Insurance Analytic Market include the increasing adoption of digital technologies, the growing need for data-driven decision-making, and the rising demand for personalized insurance products.

The challenges facing the Insurance Analytic Market include the lack of skilled professionals, the high cost of implementation, and the concerns over data privacy.

The opportunities for growth in the Insurance Analytic Market include the development of new technologies, the expansion into new markets, and the increasing adoption of cloud-based solutions.

The key trends in the Insurance Analytic Market include the use of artificial intelligence, the adoption of machine learning, and the development of new data visualization tools.

The Insurance Analytic Market is expected to reach USD 18.67 billion by 2032.

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