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.

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

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.

In 2023, Prudential Financial was the largest life insurance company in the United States with assets amounting to approximately *** billion U.S. dollars.

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.

Healthcare Provider Data Management Solution Market Outlook

The global Healthcare Provider Data Management Solution market size was valued at approximately USD 3.2 billion in 2023 and is expected to reach around USD 8.5 billion by 2032, growing at a compound annual growth rate (CAGR) of 11.5% during the forecast period. This robust growth can be attributed to the increasing volume of healthcare data generated, the rising need for efficient data management systems, and the growing emphasis on improving patient outcomes and operational efficiency.

One of the primary growth factors driving the Healthcare Provider Data Management Solution market is the surge in healthcare data generation. The proliferation of electronic health records (EHRs), wearables, and other digital health tools has led to an exponential increase in the volume of healthcare data. This data, encompassing patient history, diagnostic information, treatment plans, and more, requires efficient management systems to ensure its accessibility, accuracy, and security. Additionally, the integration of data from various sources facilitates better patient care and informed decision-making, further driving the demand for advanced data management solutions.

Another significant growth factor is the ongoing digital transformation within the healthcare sector. Organizations are increasingly adopting advanced technologies such as artificial intelligence, machine learning, and big data analytics to enhance their data management capabilities. These technologies enable healthcare providers to derive actionable insights from vast datasets, optimize operational processes, and improve patient outcomes. Moreover, the implementation of cloud-based solutions offers scalability, flexibility, and cost-efficiency, making it an attractive option for healthcare providers of all sizes.

Furthermore, regulatory requirements and data privacy concerns are fueling the adoption of healthcare provider data management solutions. Governments and regulatory bodies across the globe have introduced stringent regulations to ensure the security and confidentiality of patient data. Compliance with regulations such as the Health Insurance Portability and Accountability Act (HIPAA) in the United States and the General Data Protection Regulation (GDPR) in Europe necessitates the use of robust data management systems. These solutions help healthcare providers maintain compliance, avoid penalties, and build trust with patients.

The regional outlook for the Healthcare Provider Data Management Solution market is also promising. North America holds a significant share of the market, driven by the advanced healthcare infrastructure, high adoption rate of digital technologies, and favorable government initiatives. The Asia Pacific region is expected to witness the highest growth rate during the forecast period, attributed to the expanding healthcare sector, increasing investments in healthcare IT, and growing awareness about the benefits of data management solutions. Europe, Latin America, and the Middle East & Africa are also anticipated to experience substantial growth, supported by ongoing digital transformation efforts and regulatory developments.

The integration of a Healthcare CRM Solution is becoming increasingly vital in the healthcare industry. As healthcare providers strive to enhance patient engagement and streamline communication, CRM solutions offer a comprehensive platform to manage patient interactions and data. These solutions facilitate personalized communication, enabling providers to deliver tailored healthcare experiences. By leveraging CRM systems, healthcare organizations can improve patient satisfaction, foster loyalty, and ultimately drive better health outcomes. Additionally, CRM solutions support the coordination of care by integrating with existing healthcare systems, ensuring that patient information is readily accessible and up-to-date. As the demand for patient-centered care grows, the adoption of Healthcare CRM Solutions is expected to rise, offering significant benefits to both providers and patients.

Component Analysis

In the Healthcare Provider Data Management Solution market, the component segment is bifurcated into software and services. The software segment encompasses various data management tools and platforms designed to streamline data collection, storage, and analysis. These software solutions are integral in managing patient records, financial data, and operational metrics. The increasi

CSV output from https://github.com/marks/health-insurance-marketplace-analytics/blob/master/flattener/flatten_from_index.py

Healthcare Provider/Professional Data contains the data of individual providers and facilities, including their information about opening hours, insurance networks, specialties, NPI, etcetera. In addition to discovering data sources, merging data, running analytics, and receiving decision-making guidance, the bigger problem is responding to marketplace business and patient care demands in a timely manner. Pharmacy contains the location details of pharmacies and has attributes such as addresses, opening hours, facilities, etcetera.

A. Usecase/Applications possible with the data:

a. Provider network data systems (PNDS) - The primary goal of the PNDS is to collect data needed to evaluate provider networks, which include physicians, hospitals, labs, home health agencies, durable medical equipment providers, and so on, for all types of Health Insurers. Such information can be used to:

b. Find health care providers in my network - Use this directory to easily find other providers in my network.

c. Comprehensive services assessment - Determine whether insurers have contracted with a sufficient number of primary care practitioners, clinical specialists, and service facilities (hospitals, labs, etc.) within the insurer's service area.

d. Capacity analysis - Calculate the potential capacity of a managed care plan’s primary care providers.

e. Locate pharmacies in your local areas.

f. Support Employee Benefits Decisions - Having access to network data can help you make better decisions about which providers to use for Employee Medical Benefits.

g. Know about the facilities available across different pharmacies.

How does it work?

• Analyze sample data
• Customize parameters to suit your needs
• Add to your projects
• Contact support for further customization

The global Medical Insurance Information System (MIIS) market, valued at $7055.7 million in 2025, is projected to experience robust growth, driven by factors such as increasing healthcare expenditure, the rising adoption of electronic health records (EHRs), and the expanding need for efficient claims processing and fraud detection. Government initiatives promoting digital healthcare transformation and the increasing prevalence of chronic diseases further fuel market expansion. The market's Compound Annual Growth Rate (CAGR) of 5% indicates a steady upward trajectory, with significant opportunities for established players like Cerner, Epic Systems, and McKesson, as well as emerging regional players in Asia-Pacific and other developing regions. Competition is intensifying, with companies focusing on developing advanced analytics capabilities, cloud-based solutions, and AI-powered tools for improved data management and risk assessment. This technological advancement, coupled with stricter regulatory compliance requirements, is shaping the market landscape. The segmentation of the MIIS market is primarily driven by the types of systems offered (e.g., claims processing, provider management, and member management systems), deployment models (cloud-based versus on-premise), and end-users (insurance companies, government agencies, and healthcare providers). Future market growth will be influenced by the successful integration of MIIS with other healthcare IT systems, advancements in data security, and the increasing demand for personalized medicine initiatives. The increasing focus on interoperability and data standardization across different healthcare systems promises to streamline data exchange and enhance the overall efficiency of healthcare operations. The market presents substantial growth opportunities for companies that can effectively address these evolving needs.

Register of Health Care Providers is the basic national database
on health care system, medical staff and other health care employees. It is intended for planning and monitoring the public health service network, planning and monitoring the movement of health personnel, and implementation of health care and health insurance systems. It serves as a register of individual groups of medical staff, separately
doctors, dentists, pharmacists and private health professionals.

A comparison of standardized ESG scores of the 27 largest insurance companies in the world shows significant differences between ESG score providers in many cases. The world's largest insurer by market capitalization, UnitedHealth, saw the largest range of scores, with S&P rating the company with the score of ** out of 100 (indicating the company has a high level of ESG risk), while Sustainalytics awarded the equivalent score of **** out of 100 (indicating a low average level of ESG risk). MSCI was somewhere in the middle, awarding a score which was the equivalent of ****. However, there was also some degree of convergence between the three ESG score providers as well. For example, all three companies awarded high ESG scores (indicating low risk) to most of the large European insurers such as Allianz, Munich Re, AXA, and Zurich Insurance Group. What do ESG scores mean?Environmental, social, and governance (ESG) scores are a vital investor tool used to assess a company's sustainability and ethical performance. As mentioned briefly above, ESG scores range from 0 to 100, with a score of more than 70 considered good, and a score of less than 50 considered relatively poor. In 2021, a survey was carried out to determine investor satisfaction with the quality of ESG reporting globally. It was found that the largest share of investors reported poor satisfaction with their ESG reporting. Allianz is one of Europe's leading insurer groupsAmong the European insurance companies that were awarded high ESG scores, Allianz was the largest in terms of market capitalization, which amounted to nearly ****** billion U.S. dollars as of February 2025. One of the world's leading insurers, Allianz is a German financial services company headquartered in Munich that provides insurance and asset management as its core business products. In 2023, the Allianz Group generated the highest revenues recorded during the period of observation, amounting to a value of over *** billion euros.

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 global data analytics market in the insurance industry is projected to reach USD 21,180 million by 2033, exhibiting a CAGR of 7.3% from 2025 to 2033. The growing need for risk assessment, fraud detection, and enhanced customer experience drives market expansion. Insurance companies leverage data analytics to analyze vast amounts of data from various sources, including customer demographics, policy history, and external market trends. This analysis enables them to tailor risk profiles, optimize pricing premiums, and identify fraudulent claims effectively, leading to improved underwriting decisions and reduced operational costs. Moreover, data analytics helps insurers gain valuable insights into customer behavior, preferences, and risk appetite, allowing them to develop personalized products and enhance customer engagement. The market is segmented based on type (service and software) and application (pricing premiums, fraud prevention, waste reduction, and customer insights). Geographically, North America holds a dominant position, followed by Europe and Asia-Pacific. Key market players include Deloitte, Verisk Analytics, IBM, SAP AG, and LexisNexis. Strategic collaborations and partnerships among technology providers and insurance companies are expected to drive innovation and fuel growth in the data analytics market for insurance. The integration of advanced technologies like artificial intelligence (AI), machine learning (ML), and cloud computing will further enhance the accuracy and efficiency of data analysis, creating new growth opportunities in the market. Data analytics has revolutionized the insurance industry, empowering insurers to make data-driven decisions, optimize operations, and enhance customer experiences. This report provides a comprehensive overview of the data analytics market in insurance, covering key trends, market dynamics, and competitive landscapes.

The Texas Department of Insurance (TDI) collects and reports information about billing rates for emergency service providers within political subdivisions as reported by those political subdivisions. The National Provider Identifier Standard (NPI) is a unique ten-digit identification number for covered health care providers. This dataset relates emergency service providers by NPI with the political subdivisions where they operate by year and quarter. There is a row for each emergency service provider operating within a political subdivision. Subdivisions with more than one provider operating in them or providers operating in more than one subdivision will be listed in multiple rows. The data includes the year and quarter the information applies to as well as the date the political subdivision submitted their report. The Texas Legislature amended Texas Insurance Code Chapter 38 via Senate Bill 2476 during the 88th session to add reporting “relating to consumer protections against certain medical and health care billing by emergency medical services providers. A political subdivision may submit to the department a rate set, controlled, or regulated by the political subdivision for emergency services.” ► For contact information, refer to dataset:  Emergency Services Billing Rates - Contact List. ► For procedure codes rates, refer to dataset:  Emergency Services Billing Rates - Code Rates. ► For ZIP codes within political subdivisions, refer to dataset:  Emergency Services Billing Rates - ZIPs. Users are responsible for reviewing and updating data before the submission deadlines. Information entered or found in this dataset is subject to change. Visit TDI’s web site disclaimer for more information. For more information related to this data, visit TDI’s FAQ page.

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 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.

Insurance companies participating in the Voluntary Health Insurance Scheme (VHIS) offering individual indemnity hospital insurance plans certified by the Health Bureau are named as "VHIS Providers". A related dataset has been released on the CSDI portal in 11/2024.

Dental insurance providers have experienced revenue growth over the past five years. The often complex and expensive nature of dental insurance has limited the number of individuals purchasing dental insurance plans because of falling consumer sentiment spurred by the outbreak of the pandemic and inflationary pressures. However, dental insurance providers have encountered growth over the current period due to a rise in disposable income levels, a rising number of people getting private health insurance and dental insurance through work and increased health expenditure. Overall, industry revenue has climbed at a CAGR of 1.8% to $107.1 billion over the five years to 2024, including an expected increase of 1.8% in 2024 alone. One of the main trends of recent years has been an increase in the use of technology and data analytics to improve the customer experience, streamline operations and identify new business opportunities. Another trend has been the growth of private dental insurance exchanges and the expansion of dental benefits offered by health insurance plans. Dental insurance providers have seen an increase in dental insurance companies partnering with tele-dentistry providers to offer virtual dental consultations and other remote services. Several trends will impact dental insurance providers over the next five years. One major trend is the increasing focus on oral health as part of overall health and wellness, with dental insurance companies offering more preventive care services and partnering with health and wellness companies to promote healthy habits. Another trend is the continued growth of tele-dentistry and virtual care, as more patients seek remote and convenient dental services. Various trends will lead to profit growth. Overall, industry revenue is forecast to grow at a CAGR of 2.1% to $118.6 billion over the next five years.