Most U.S. consumers are open to sharing information with insurance providers, although a 2019 survey finds that this willingness quickly decreases the more personal the information becomes. According to the survey, around two-thirds of consumers would be willing to share driving and claims history. However, just 31 percent of respondents are willing to share social media information, and only 28 percent are comfortable sharing mobile phone data.

The Risk Management Agency (RMA) provides agent and company information as a service to our customers. All data displayed is provided by insurance providers operating under a reinsurance agreement with RMA.

In 2023, Prudential Financial was the largest life insurance company in the United States with assets amounting to approximately 532 billion U.S. dollars. Life insurance - additional information Life insurance is an important component of basic financial planning and acts as a form of protection against the loss of income resulting from the death of an insured individual. The person named as the beneficiary of the deceased receives the proceeds and is therefore protected against any financial impact that may result from the death.There are different forms of life insurance offered by life insurance companies. Some life insurance policies provide coverage at fixed payments for a length of time that it defined when the policy is initially taken out. After expiration of the fixed period, the previous rate of premiums can be no longer guaranteed to the insured and they are required to either forgo their coverage or accept different terms or conditions. This form of insurance is known as term insurance. Permanent or whole life insurance, on the other hand, is a form which provides the insured with life-long coverage. Term insurance is cheaper than whole life insurance as it is not designed to pay out in all cases. Many people decide to take out fixed-term policies due to their low-cost nature.

Consumer Insurance Experience & Demographic Profile

This dataset provides a detailed view of how individuals engage with insurance products, paired with demographic and lifestyle attributes to enable powerful segmentation, behavioral analysis, and customer journey mapping. By combining real-world insurance experiences with contextual information about each respondent’s background and preferences, this dataset supports a wide range of data-driven decision-making for insurance providers, policy designers, marketing teams, and product strategists.

Value of the Dataset Understanding how consumers perceive and interact with insurance offerings is critical to building products that resonate and services that retain. This dataset offers that visibility across multiple dimensions—capturing not only what type of insurance consumers hold and how they purchased it, but also what drives their satisfaction, loyalty, and likelihood to switch. Paired with demographic details like income, education, family status, and lifestyle, this information becomes a foundation for more personalized outreach, better-designed offerings, and improved customer experiences.

Because the data reflects lived experiences across diverse markets, it is particularly valuable for benchmarking consumer sentiment in emerging economies, identifying service delivery gaps, or evaluating potential uptake of new policy formats such as digital or personalized insurance.

Example Use Cases 1. Targeted Product Design A health insurer looking to launch short-term, digital-first plans could filter this dataset for consumers with low policy tenure, high digital communication preference, and dissatisfaction with current providers. This segment would inform feature design and positioning.

1. Competitive Analysis A provider evaluating churn risk can identify patterns among users who have filed claims but report dissatisfaction—indicating operational areas that may be driving customer loss and where improvements could increase retention.

2. Communication Channel Optimization By analyzing preferred communication methods across different demographic segments, insurers can tailor outreach strategies (e.g., SMS vs. in-app chat) to improve engagement and reduce support costs.

3. Market Expansion & Localization International insurers can explore regional variations in satisfaction drivers, awareness levels, and price sensitivity to refine go-to-market strategies in countries like Senegal, Tanzania, or the UAE.

4. Personalized Policy Offer Design Using data on interest in personalized policies and lifestyle indicators, providers can build customizable offerings for consumers more likely to value flexibility, such as frequent travelers or those with irregular incomes.

Insurance-Specific Fields & Descriptions Current Insurance Type Captures the kind of insurance the individual currently holds, with a focus on health insurance in this dataset.

Purchase Method Indicates how the insurance was obtained—through an agent, online, employer, etc.—to understand acquisition channels.

Policy Length Duration of the current policy, categorized (e.g., less than 1 year, 1–3 years, more than 5 years) to analyze tenure-based behaviors.

Satisfaction Self-reported satisfaction with the current insurance provider, useful for benchmarking sentiment.

Top Factor in Choosing Provider Highlights what influenced the purchase decision most—such as coverage options, customer service, pricing, or brand reputation.

Policy Review Frequency Shows how often individuals revisit their policy details or compare with alternatives, revealing levels of engagement or passive behavior.

Filed Claim A yes/no indicator showing whether the consumer has ever filed a claim, useful for analyzing downstream service experiences.

Claim Satisfaction Measures satisfaction with how past claims were handled, providing insight into operational effectiveness.

Primary Value Sought Captures what consumers value most from their insurance—e.g., peace of mind, financial protection, access to quality care.

Likelihood to Recommend Acts as a proxy for Net Promoter Score (NPS), indicating brand advocacy and potential referral behavior.

Biggest Areas for Improvement Open-ended or multi-select responses identifying where insurers can do better—lower premiums, faster claims, more digital tools, etc.

Preferred Method of Communication Indicates how consumers want to be contacted—via online chat, phone, email, SMS—supporting channel strategy optimization.

Preferred Services Details the types of updates or services consumers want—such as claims status, policy changes, or coverage recommendations.

Insurance Awareness Score Self-reported awareness of how insurance works, including policy options, rights, and terms.

Interest in Personalized Policies Captures whether the individual is open to customized insurance plans, an important indicator for usage-ba...

Access United Healthcare Transparency in Coverage data for 76,000 employers. Analyze costs across providers, plans, and employers. Includes in-network rates, out-of-network amounts, and cost-sharing info. 400TB+ monthly data. Ideal for pricing insights and cost strategies.

This data package contains the Physician Quality Reporting System (PQRS), Performance Rates for Individual Eligible Professionals (EP) PQRS, Consumer Assessment of Healthcare Providers and Systems (CAHPS) and Group Practice.

Graph and download economic data for All Employees, Insurance Carriers and Related Activities (CEU5552400001) from Jan 1990 to Jun 2025 about insurance, financial, establishment survey, employment, and USA.

Graph and download economic data for Producer Price Index by Industry: Direct Life Insurance Carriers: Universal Life Insurance Policies (PCU52411352411310103) from Dec 1998 to May 2025 about life, insurance, tertiary schooling, education, PPI, industry, inflation, price index, indexes, price, and USA.

The website shows data on the plan and implementation of the health services program by individual health activities (VZD) :

• hospital medical activity,
• general outpatient medical activity,
• specialist outpatient medical activity,
• dental practice,
• other health activities,
• activity of accommodation facilities for patient care,
• social care without accommodation for the elderly and disabled,
• production of pharmaceutical preparations,
• retail trade in specialized stores with pharmaceutical products,
• compulsory social security activity.

Within the framework of each activity, the data for each period are shown separately by contractors and together, the activity by regional units of ZZZS and the activity data at the level of Slovenia together.

Data on the plan and implementation of the health services program are shown in the accounting unit (e.g. points, quotients, weights, groups of comparable cases, non-medical care day, care, days...), which are used to calculate the work performed in the field of individual activities.

The publication of information about the plan and implementation of the program on the ZZZS website is primarily intended for the professional public. The displayed program plan for an individual contractor refers to the defined billing period. (example: The plan for the period 1-3 201X is calculated as 3/12 of the annual plan agreed in the contract).

The data on the implementation of the program represents the implementation of the program at an individual provider for insured persons who benefited from medical services from him during the accounting period. Data on the realization of the program do not refer to persons insured in accordance with the European legal order and bilateral agreements on social security. Data for individual contractors are classified by regional units based on the contractor's headquarters. The content of the data on the "number of cases" is defined in the Instruction on recording and accounting for medical services and issued materials.

The institute reserves the right to change the data, in the event of subsequently discovered irregularities after already published on the Internet.

The number of life insurance companies in the United States rose significantly in the first few years of the time period under observation, before decreasing year-on-year until the present day. In 2023, there were a total of 719 life insurance companies in the United States, down from 727 in the previous year. The number of life insurers peaked in 1990, with well over 2,100 life insurance companies in the United States that year. Life and annuities in the United StatesBeing home to one of the largest insurance markets in the world, the life/annuity insurance industry in the United States generated a total revenue of over one trillion U.S. dollars in 2022. Generally, life insurance provides the insured individual's family with financial protection in the event that they die before meeting that individual's financial obligations. On the other hand, an annuity is a contract whereby the insured individual agrees to pay the insurer a certain amount of money, which then entitles them to receive a series of payments from the insurer in the future. Insurers dominate different areas of the industryThe U.S. insurance market is quite competitive, with different insurers leading the industry by varying factors. For instance, the largest life insurer on the U.S. market in 2021 was Northwestern Mutual when considering company market share. However, Prudential Financial was the largest life insurer in the U.S. in 2021 by the total value of assets held.

Graph and download economic data for Employment for Finance and Insurance: Insurance Carriers (NAICS 5241) in the United States (IPUKN5241W010000000) from 1987 to 2024 about finance, insurance, NAICS, IP, employment, and USA.

United States - Data Processing and Other Purchased Computer Services for Insurance Carriers and Related Activities, All Establishments, Employer Firms (DISCONTINUED) was 5426.00000 Mil. of $ in January of 2017, according to the United States Federal Reserve. Historically, United States - Data Processing and Other Purchased Computer Services for Insurance Carriers and Related Activities, All Establishments, Employer Firms (DISCONTINUED) reached a record high of 5426.00000 in January of 2017 and a record low of 3736.00000 in January of 2012. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Data Processing and Other Purchased Computer Services for Insurance Carriers and Related Activities, All Establishments, Employer Firms (DISCONTINUED) - last updated from the United States Federal Reserve on June of 2025.

United States - All Employees, Insurance Carriers and Related Activities was 3030.70000 Thous. of Persons in May of 2025, according to the United States Federal Reserve. Historically, United States - All Employees, Insurance Carriers and Related Activities reached a record high of 3030.70000 in May of 2025 and a record low of 2010.40000 in January of 1990. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - All Employees, Insurance Carriers and Related Activities - last updated from the United States Federal Reserve on July of 2025.

This dataset shows the issuer-level data identifying provider network URLs by the Centers for Medicare & Medicaid Services (CMS).

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Insurance Market Size 2025-2029

The insurance market size is forecast to increase by USD 1461.5 billion, at a CAGR of 4.3% between 2024 and 2029.

The Insurance Market is segmented by distribution channel (Sales Personnel, Insurance Agencies), type (Life, Non-life), mode (Offline, Online), end-user (Corporate, Individual), and geography (North America: US, Canada; Europe: France, Germany, UK; APAC: Australia, China, India, Japan, South Korea; Rest of World). This segmentation reflects the market's diversity, driven by growing demand for Online Non-life insurance among Individual consumers in APAC regions like India and China, increasing Corporate adoption of Life insurance through Sales Personnel in North America and Europe, and a strong Offline presence via Insurance Agencies to cater to varied financial protection needs across global markets.

The market is experiencing significant shifts driven by increasing government regulations on mandatory insurance coverage in developing countries and the integration of wearables into customer engagement metrics for life insurance software. These trends reflect a growing emphasis on risk mitigation and personalized customer experiences. Simultaneously, the regulatory environment for insurance players tightens, necessitating robust compliance strategies. Government initiatives mandating insurance coverage in emerging economies represent a substantial growth opportunity, particularly in sectors like health and motor insurance. Meanwhile, the integration of wearable technology into life insurance software enables insurers to offer customized policies based on individual health data, fostering a more proactive approach to risk management.
However, this trend also introduces challenges, as insurers must navigate privacy concerns and ensure secure data handling. The tightening regulatory environment adds another layer of complexity, with stricter guidelines around product offerings, pricing, and customer protection. To thrive in this landscape, insurers must invest in robust compliance frameworks, ensuring they stay ahead of regulatory changes and maintain customer trust. By embracing these trends and addressing associated challenges, insurance providers can capitalize on market opportunities and differentiate themselves in a competitive landscape.

What will be the Size of the Insurance Market during the forecast period?

Explore in-depth regional segment analysis with market size data - historical 2019-2023 and forecasts 2025-2029 - in the full report.
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The market continues to evolve, with dynamic market dynamics shaping various sectors. Travel insurance policies adapt to accommodate changing travel patterns and destinations, while pet insurance providers expand coverage options for veterinary care. Insurance brokers play a crucial role in facilitating customized solutions for clients, bridging the gap between insurers and policyholders. Fraud Detection And Prevention technologies, such as predictive modeling and advanced analytics, are increasingly integral to the industry. These tools help insurers mitigate risks and identify potential fraudulent activities, ensuring accurate claim settlements and maintaining trust with policyholders. Catastrophe modeling and risk assessment are essential components of property and casualty insurance, enabling insurers to assess potential losses and adjust premiums accordingly.

Variable life insurance and retirement planning solutions adapt to fluctuating market conditions and individual financial goals. Premium payments are streamlined through various channels, including digital platforms and insurance technology (insurtech) innovations. Policy administration and claims processing are further optimized through automation and data-driven insights. Insurance agents and independent adjusters facilitate settlement negotiations, providing expert guidance to policyholders during the claims process. Disability insurance and long-term care insurance offer essential protection for individuals facing extended periods of incapacity. Actuarial science and risk management strategies underpin the industry, ensuring that insurers can accurately assess risks and provide competitive pricing. Universal life insurance and estate planning solutions offer flexible, customizable options for policyholders.

How is this Insurance Industry segmented?

The insurance industry research report provides comprehensive data (region-wise segment analysis), with forecasts and estimates in 'USD billion' for the period 2025-2029, as well as historical data from 2019-2023 for the following segments.

Distribution Channel

  Sales personnel
  Insurance agencies


Type

  Life
  Non-life


Mode

  Offline
  Online


End-user

  Corporate
  Individual


Geography

  North America

    US
    Canada


  Europe

    France
    Germany
    UK


  APAC

    Australi

Insurance Analytics Software Market Outlook

The global insurance analytics software market size is expected to experience substantial growth, reaching an estimated USD 18.5 billion by 2032 from USD 7.8 billion in 2023, showcasing a robust CAGR of 10.1% over the forecast period from 2024 to 2032. This growth is primarily driven by technological advancements, increasing data generation, and the imperative need for data-driven decision-making processes within the insurance industry. The integration of artificial intelligence, machine learning, and big data analytics into insurance systems is transforming the traditional insurance business model, enabling better risk assessment, fraud detection, and enhanced customer experience.

One of the critical growth factors propelling the market is the exponential increase in data generation, which necessitates the adoption of advanced analytics solutions. The insurance sector is inundated with data from various sources, including policy documents, customer interactions, claims, and third-party data providers. This vast amount of data, if utilized effectively, can offer significant insights into customer behavior and preferences, enabling insurance companies to tailor their products and services. Moreover, the growing awareness among insurers about the benefits of leveraging analytics for operational efficiency, cost reduction, and improved customer satisfaction is further fueling the demand for insurance analytics software.

Another significant driver is the rising incidence of fraudulent activities in the insurance sector, which has heightened the need for sophisticated fraud detection and prevention systems. Insurance companies are increasingly deploying analytics solutions to identify patterns, anomalies, and potential fraudulent claims in real-time. This proactive approach not only reduces the financial losses associated with fraud but also enhances the trust and reliability of insurance services among consumers. Additionally, regulatory requirements mandating transparency and accountability in insurance operations are pushing insurers to adopt analytics solutions, ensuring compliance while minimizing the risk of penalties.

The growing emphasis on customer-centric approaches in the insurance industry is also contributing to market growth. Today’s consumers demand personalized experiences and tailored insurance products that cater to their unique needs and preferences. Insurance analytics software enables companies to achieve this by providing deep insights into customer data, preferences, and behavior patterns. By leveraging these insights, insurers can develop personalized product offerings, improve customer engagement, and ultimately increase customer retention rates. This shift towards personalization is a key trend that is expected to continue driving the adoption of analytics solutions in the insurance sector.

Regionally, North America holds a significant share of the insurance analytics software market, driven by the presence of numerous leading insurance companies and advanced technological infrastructure. The region's well-established regulatory framework and high adoption of digital technologies among insurers further bolster market growth. However, the Asia Pacific region is anticipated to witness the highest CAGR during the forecast period, attributable to the rapidly growing insurance industry, increasing investment in digital transformation, and the rising awareness of the benefits of analytics solutions. As insurance markets in countries such as China, India, and Japan continue to expand, the demand for analytics solutions is expected to rise, offering lucrative growth opportunities for market players.

Component Analysis

In the insurance analytics software market, the components are primarily categorized into software and services, each playing a pivotal role in shaping the market landscape. The software segment holds a larger share owing to the increasing adoption of advanced analytics platforms and tools by insurance companies to streamline operations and enhance decision-making processes. These software solutions offer a wide range of functionalities, including predictive analytics, data visualization, and reporting, enabling insurers to derive actionable insights from large volumes of data. The continuous evolution of software solutions with the integration of AI and machine learning capabilities is further enhancing their efficiency and attractiveness to insurers.

The services segment, although smaller in comparison to software, is witnessing significant growth due to the rising demand for deploymen

The largest health insurance companies in the U.S. include big names such as Kaiser Permanente, Elevance Health and UnitedHealthcare Group. As of 2023 the largest health insurance company in the U.S. was Kaiser Permanente with approximately *** million members. However, UnitedHealthcare was the largest health insurance company in the U.S. by revenue. Elevance Health (Anthem) was the second largest at that time with almost *** million members. Health insurance is an important part of the health care landscape in the U.S. and enrollment has been on the rise since the passing of the Affordable Care Act in 2010 by U.S. President Barack Obama. Health insurance in the U.S. The health insurance industry in the United States is a combination of both private and publicly funded schemes that provide a range of health services to individuals and families. The overall health care administration costs and net cost of private health insurance in the U.S. has increased rapidly since the early *****. In recent years, the U.S. has seen a rise in the cost of monthly health insurance premiums. In 2019, the average monthly health insurance premium in the individual market earned an insurer over *** U.S. dollars on average. Health care costs However, despite the combination of private and public funding, the U.S. health system has some of the highest per capita costs globally. The reason behind the increase and difference in health care costs in the U.S. is said to be a combination of doctors’ earnings, the cost of diagnostics and cost of health care administration and overhead. Compared to other developed countries such as France, Germany and Canada, the U.S. spends significantly more of it’s GDP on health care costs. As an example, the cost of a heart bypass surgery in the United States in 2019 was over **** times as expensive as a heart bypass surgery in Israel.

United States - Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Group Managed Care Medical Service Plans was 237.63700 Index Dec 2002=100 in April of 2025, according to the United States Federal Reserve. Historically, United States - Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Group Managed Care Medical Service Plans reached a record high of 237.63700 in April of 2025 and a record low of 84.70000 in December of 2000. Trading Economics provides the current actual value, an historical data chart and related indicators for United States - Producer Price Index by Industry: Direct Health and Medical Insurance Carriers: Group Managed Care Medical Service Plans - last updated from the United States Federal Reserve on June of 2025.

The data is formatted as a spreadsheet, encompassing the primary activities over a span of three full years (November 2015 to December 2018) concerning non-life motor insurance portfolio. This dataset comprises 105,555 rows and 30 columns. Each row signifies a policy transaction, while each column represents a distinct variable.

The insurance industry is undergoing a significant transformation driven by the increasing adoption of data analytics. The global market for insurance data analytics, valued at $12,010 million in 2025, is projected to experience robust growth, fueled by a compound annual growth rate (CAGR) of 3.3% from 2025 to 2033. This growth is primarily driven by the need for insurers to enhance operational efficiency, improve risk management, personalize customer experiences, and combat fraud. The rising volume and complexity of data, coupled with advancements in artificial intelligence (AI) and machine learning (ML), are creating significant opportunities for data analytics solutions across various insurance segments, including property & casualty, life, and health. Specifically, the demand for solutions focused on pricing optimization, fraud prevention and detection, and customer segmentation is driving substantial market expansion. Key players such as Deloitte, Verisk Analytics, IBM, and others are actively investing in developing sophisticated analytical tools and services to cater to these evolving industry needs. The market segmentation reveals a strong preference for service-based solutions, alongside the growing adoption of software and applications. The pricing premiums segment within applications is particularly noteworthy, reflecting the strategic importance of accurate pricing models for profitability. Geographic distribution reveals strong market presence in North America and Europe, reflecting the higher adoption rates and technological advancement in these regions. However, emerging economies in Asia-Pacific and other regions are experiencing rapid growth, driven by increasing digitalization and the expanding insurance landscape. The competitive landscape is characterized by a mix of established consulting firms, technology vendors, and specialized insurance analytics providers, each contributing to the innovation and advancement of this crucial market sector. Continued technological advancements, regulatory changes and the rising demand for personalized insurance services are expected to shape the future trajectory of the insurance data analytics market.