100+ datasets found
  1. D

    Location Data Provider Liability Insurance Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Location Data Provider Liability Insurance Market Research Report 2033 [Dataset]. https://dataintelo.com/report/location-data-provider-liability-insurance-market
    Explore at:
    pptx, pdf, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Location Data Provider Liability Insurance Market Outlook



    According to our latest research, the global Location Data Provider Liability Insurance market size reached USD 2.14 billion in 2024, reflecting growing awareness of data privacy risks and regulatory compliance across digital industries. The market is experiencing robust expansion, with a CAGR of 13.2% anticipated from 2025 to 2033. By 2033, the market is forecasted to reach USD 6.10 billion. This significant growth is driven by the increasing adoption of location-based services, stricter data protection regulations, and the rising frequency of cyber incidents impacting companies that handle sensitive geolocation data.




    The primary growth factor fueling the Location Data Provider Liability Insurance market is the exponential rise in the use of location intelligence across sectors such as retail, marketing, transportation, and financial services. As organizations leverage geospatial data to optimize operations and personalize customer experiences, the risk of data breaches, misuse, and regulatory non-compliance escalates. This has created a pressing need for tailored liability insurance products that protect data providers from legal claims, financial losses, and reputational damage. The proliferation of smartphones, IoT devices, and connected vehicles further amplifies the volume and sensitivity of location data, making robust insurance coverage an indispensable risk management tool for modern enterprises.




    Another significant driver is the evolving global regulatory landscape, with frameworks like the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the US, and similar laws emerging in Asia Pacific and Latin America. These regulations impose stringent requirements on the collection, processing, and sharing of location data, with severe penalties for non-compliance. As a result, location data providers are increasingly seeking specialized liability insurance policies that address the unique exposures related to regulatory investigations, fines, and third-party claims. Insurers, in turn, are innovating their product offerings to include comprehensive coverage for cyber liability, professional errors, and data privacy violations, driving further market expansion.




    Technological advancements are also playing a pivotal role in shaping the Location Data Provider Liability Insurance market. The integration of artificial intelligence, machine learning, and blockchain in insurance underwriting and claims management is enhancing risk assessment accuracy and streamlining policy administration. Insurtech platforms are enabling real-time monitoring of insured risks, facilitating dynamic pricing models, and improving customer engagement through digital channels. These innovations are attracting technology companies, marketing agencies, and even traditional financial institutions to the market, broadening the customer base and fostering a competitive insurance ecosystem tailored to the needs of data-driven enterprises.




    From a regional perspective, North America currently dominates the global Location Data Provider Liability Insurance market, accounting for over 38% of total market revenue in 2024. This leadership is attributed to the region’s advanced digital infrastructure, high adoption of location-based services, and proactive regulatory environment. Europe follows closely, with a strong focus on data privacy compliance and a mature insurance sector. Meanwhile, the Asia Pacific region is witnessing the fastest growth, propelled by rapid digitalization, a burgeoning startup ecosystem, and increasing awareness of data-related risks. Latin America and the Middle East & Africa are gradually catching up, driven by regulatory reforms and expanding digital economies.



    Coverage Type Analysis



    The Coverage Type segment in the Location Data Provider Liability Insurance market encompasses General Liability, Professional Liability, Cyber Liability, Product Liability, and Others. General Liability insurance serves as the foundational coverage, protecting location data providers from third-party claims related to bodily injury, property damage, and personal injury arising from their business operations. As location data becomes integral to various business models, the potential for disputes over data accuracy, misuse, or unintended harm increases, making general liability coverage essential. Insurers are

  2. Willingness to share selected personal data with insurance providers U.S....

    • statista.com
    Updated Jul 10, 2025
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    Statista (2025). Willingness to share selected personal data with insurance providers U.S. 2019 [Dataset]. https://www.statista.com/statistics/1184447/willingness-share-data-with-insurance-providers-type-us/
    Explore at:
    Dataset updated
    Jul 10, 2025
    Dataset authored and provided by
    Statistahttp://statista.com/
    Time period covered
    Oct 2019
    Area covered
    United States
    Description

    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 ********** of consumers would be willing to share driving and claims history. However, just ** percent of respondents are willing to share social media information, and only ** percent are comfortable sharing mobile phone data.

  3. D

    Satellite Data Provider Liability Insurance Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Satellite Data Provider Liability Insurance Market Research Report 2033 [Dataset]. https://dataintelo.com/report/satellite-data-provider-liability-insurance-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Satellite Data Provider Liability Insurance Market Outlook




    According to our latest research, the global Satellite Data Provider Liability Insurance market size in 2024 stands at USD 1.42 billion, with a robust CAGR of 13.7% projected throughout the forecast period. By 2033, the market is expected to reach USD 4.09 billion, reflecting the sector’s rapid expansion. This growth is primarily driven by the increasing reliance on satellite data for mission-critical applications across commercial, governmental, and defense sectors, and the corresponding rise in liability and risk exposure for data providers. As organizations leverage satellite data for decision-making, risk mitigation through specialized insurance solutions has become a top priority.




    The primary growth factor fueling the Satellite Data Provider Liability Insurance market is the exponential increase in satellite launches and the proliferation of data-driven services. The global satellite industry is experiencing a paradigm shift as constellations of small satellites deliver real-time Earth observation, communication, and navigation data to a wide range of industries, including agriculture, energy, transportation, and finance. This surge in satellite deployments has heightened the risk of data inaccuracies, cyber threats, and operational failures, driving demand for comprehensive liability insurance coverage. Satellite data providers are now seeking insurance policies that can safeguard them against financial losses arising from errors, omissions, and third-party claims, ensuring business continuity and regulatory compliance.




    Another significant driver for the market is the evolving regulatory landscape governing data privacy, security, and cross-border data flows. Governments and regulatory bodies worldwide are implementing stringent frameworks to address concerns related to data misuse, unauthorized access, and liability in the event of data breaches or misinformation. As satellite data becomes integral to critical infrastructure and national security, liability insurance has emerged as an essential risk management tool. Insurance providers are responding by developing tailored products that address the unique risks faced by satellite data operators, analytics companies, and end-use industries, thereby fostering greater trust and adoption of satellite-based services.




    Technological advancements in satellite systems, data analytics, and cybersecurity are also propelling the growth of the Satellite Data Provider Liability Insurance market. The integration of artificial intelligence, machine learning, and cloud computing has enhanced the value proposition of satellite data but has also introduced new vulnerabilities and complexities. As the threat landscape evolves, insurance providers are leveraging advanced risk assessment models and digital tools to accurately underwrite policies and manage claims. This synergy between technology and insurance is enabling the market to keep pace with the dynamic needs of satellite data providers, ensuring that coverage remains relevant and effective amid rapid innovation.




    From a regional perspective, North America currently dominates the Satellite Data Provider Liability Insurance market, accounting for the largest share in 2024. This leadership is attributed to the presence of major satellite operators, data analytics firms, and a mature insurance ecosystem. Europe follows closely, driven by robust regulatory standards and a strong focus on data security and privacy. The Asia Pacific region is witnessing the fastest growth, supported by increasing satellite launches, government initiatives, and expanding commercial applications. As the market continues to mature, regional dynamics and local regulatory requirements will play a pivotal role in shaping insurance offerings and market penetration.



    Coverage Type Analysis




    The Coverage Type segment of the Satellite Data Provider Liability Insurance market is highly diversified, encompassing Errors & Omissions, Cyber Liability, General Liability, Professional Liability, and other specialized coverages. Errors & Omissions (E&O) insurance is one of the most sought-after coverage types, providing protection against claims arising from inaccurate data, misinterpretations, and service delivery failures. Given the critical nature of satellite data in sectors such as defense, logistics, and agriculture, E&O insurance is essential for mitigating financial a

  4. R

    Road Weather Data Provider Liability Insurance Market Research Report 2033

    • researchintelo.com
    csv, pdf, pptx
    Updated Oct 1, 2025
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    The citation is currently not available for this dataset.
    Explore at:
    pptx, csv, pdfAvailable download formats
    Dataset updated
    Oct 1, 2025
    Dataset authored and provided by
    Research Intelo
    License

    https://researchintelo.com/privacy-and-policyhttps://researchintelo.com/privacy-and-policy

    Time period covered
    2024 - 2033
    Area covered
    Global
    Description

    Road Weather Data Provider Liability Insurance Market Outlook



    According to our latest research, the Global Road Weather Data Provider Liability Insurance market size was valued at $1.2 billion in 2024 and is projected to reach $3.7 billion by 2033, expanding at a robust CAGR of 13.2% during the forecast period of 2025–2033. One of the primary factors fueling the growth of this market globally is the rising reliance on accurate, real-time weather data for road safety management and transportation logistics, which has increased the exposure of data providers to liability risks. As governments and private sector entities integrate advanced weather data analytics into their operations, the demand for specialized liability insurance products that address unique risks associated with data accuracy, cyber threats, and professional errors is surging. This trend is further reinforced by the rapid digital transformation in transportation and logistics, where even minor inaccuracies in weather data can have significant legal and financial repercussions for service providers.



    Regional Outlook



    North America holds the largest share of the global Road Weather Data Provider Liability Insurance market, accounting for approximately 38% of the total market value in 2024. This dominance is primarily attributed to the region’s mature insurance sector, widespread adoption of advanced weather monitoring technologies, and stringent regulatory frameworks that mandate liability coverage for data providers. The United States, in particular, has seen significant investments in road weather infrastructure and data analytics, driven by both public and private sector initiatives. Additionally, the proliferation of autonomous vehicles and smart transportation systems has heightened the need for robust liability insurance, as the accuracy of weather data becomes a critical safety factor. Insurance companies in North America have responded by developing tailored products for weather data providers, further consolidating the region’s leadership in this market.



    Asia Pacific is projected to be the fastest-growing region, with a CAGR exceeding 16% during the forecast period. This dynamic growth is underpinned by rapid urbanization, expanding transportation networks, and increasing government investments in smart infrastructure across key economies such as China, Japan, and India. The region’s burgeoning technology sector is fostering innovation in weather data analytics, creating new opportunities for liability insurance providers. Strategic partnerships between local insurers and global reinsurers are facilitating the introduction of advanced insurance products tailored to the unique risk profiles of Asian weather data providers. Furthermore, the rising frequency of extreme weather events in the region is prompting transportation companies and government agencies to seek comprehensive liability coverage, thereby propelling market expansion.



    Emerging economies in Latin America and the Middle East & Africa are experiencing gradual adoption of road weather data provider liability insurance, albeit at a slower pace compared to developed regions. Challenges such as limited insurance penetration, lack of standardized regulations, and constrained access to advanced weather data technologies are impeding market growth. However, localized demand is being driven by increasing awareness of road safety and the economic impact of weather-related transportation disruptions. Governments in these regions are beginning to recognize the value of weather data in disaster preparedness and urban mobility planning, which is expected to gradually boost demand for liability insurance among both public and private data providers. Policy reforms and international collaborations are likely to play a pivotal role in overcoming adoption barriers and unlocking future growth potential.



    Report Scope





    Attributes Details
    Report Title Road Weather Data Provider Liability Insurance Market Research Report 2033
    By Coverage Type General Liability, Professional Liability, Cyber

  5. p

    Insurance agencies Business Data for United States

    • poidata.io
    csv, json
    Updated Oct 7, 2025
    + more versions
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    Business Data Provider (2025). Insurance agencies Business Data for United States [Dataset]. https://www.poidata.io/report/insurance-agency/united-states
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    United States
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 226,872 verified Insurance agency businesses in United States with complete contact information, ratings, reviews, and location data.

  6. D

    Geospatial Data Provider Liability Insurance Market Research Report 2033

    • dataintelo.com
    csv, pdf, pptx
    Updated Sep 30, 2025
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    Dataintelo (2025). Geospatial Data Provider Liability Insurance Market Research Report 2033 [Dataset]. https://dataintelo.com/report/geospatial-data-provider-liability-insurance-market
    Explore at:
    pdf, pptx, csvAvailable download formats
    Dataset updated
    Sep 30, 2025
    Dataset authored and provided by
    Dataintelo
    License

    https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

    Time period covered
    2024 - 2032
    Area covered
    Global
    Description

    Geospatial Data Provider Liability Insurance Market Outlook



    According to our latest research, the global geospatial data provider liability insurance market size reached USD 1.42 billion in 2024, with a robust compound annual growth rate (CAGR) of 12.3% projected through the forecast period. This strong growth trajectory is expected to drive the market to a value of USD 4.01 billion by 2033. The increasing integration of geospatial data across diverse industries, coupled with heightened regulatory scrutiny and the rising frequency of data-related litigation, are among the primary factors fueling the expansion of this market.




    The growth of the geospatial data provider liability insurance market is propelled by the surging adoption of geospatial technologies in critical sectors such as urban planning, transportation, agriculture, and environmental monitoring. As organizations increasingly rely on accurate geospatial data for decision-making, the risks associated with errors, omissions, or cyber threats have become more pronounced. This heightened risk profile has driven demand for specialized insurance products that can mitigate financial losses and legal liabilities arising from data inaccuracies or breaches. The proliferation of location-based services and remote sensing applications further intensifies the need for comprehensive liability coverage, as even minor inaccuracies can result in significant operational disruptions or legal consequences.




    Another significant growth driver is the evolving regulatory landscape governing data privacy, usage, and sharing. Governments and regulatory bodies across regions are implementing stricter compliance requirements for geospatial data usage, which in turn increases the potential for legal claims against data providers. The introduction of new data protection laws, such as the General Data Protection Regulation (GDPR) in Europe and similar frameworks in other regions, has made it imperative for geospatial data providers to secure liability insurance. This regulatory pressure not only elevates the baseline risk for providers but also creates opportunities for insurers to develop tailored products addressing the unique exposures faced by this sector. The ongoing digital transformation and the expansion of smart city initiatives globally further amplify these risks and opportunities.




    A third critical factor contributing to market growth is the increasing complexity and sophistication of cyber threats targeting geospatial data providers. With the rapid digitization of geospatial information and the expansion of cloud-based platforms, the industry faces heightened exposure to cyberattacks, data breaches, and ransomware incidents. These threats can lead to significant financial losses, reputational damage, and legal liabilities for data providers. As a result, organizations are seeking specialized cyber liability insurance policies that offer protection against a wide range of cyber risks. The insurance market is responding by innovating new products and coverage options that address the emerging risks associated with the digitalization of geospatial data, thereby driving overall market growth.




    From a regional perspective, North America currently dominates the geospatial data provider liability insurance market, owing to its advanced technological infrastructure, high adoption of geospatial services, and stringent regulatory environment. Europe follows closely, benefiting from robust data protection regulations and a mature insurance sector. The Asia Pacific region is expected to witness the fastest growth over the forecast period, driven by rapid urbanization, increasing investments in smart city projects, and growing awareness of data-related risks. Latin America and the Middle East & Africa, while representing smaller shares of the global market, are poised for steady growth as digital transformation initiatives gain momentum in these regions. The interplay of regional regulatory frameworks, technological adoption rates, and insurance market maturity will continue to shape the competitive landscape and growth prospects of the global geospatial data provider liability insurance market.



    Coverage Type Analysis



    The coverage type segment of the geospatial data provider liability insurance market encompasses various insurance solutions designed to address the multifaceted risks faced by data providers. Errors & Omissions (E&O) insurance remains the most sought-a

  7. Health Insurance Provider Network PUF

    • johnsnowlabs.com
    csv
    Updated Jan 20, 2021
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    John Snow Labs (2021). Health Insurance Provider Network PUF [Dataset]. https://www.johnsnowlabs.com/marketplace/health-insurance-provider-network-puf/
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    csvAvailable download formats
    Dataset updated
    Jan 20, 2021
    Dataset authored and provided by
    John Snow Labs
    Time period covered
    2023
    Area covered
    United States
    Description

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

  8. p

    Insurance companies Business Data for Georgia

    • poidata.io
    csv, json
    Updated Oct 5, 2025
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    Business Data Provider (2025). Insurance companies Business Data for Georgia [Dataset]. https://poidata.io/report/insurance-company/georgia
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 5, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Georgia
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 53 verified Insurance company businesses in Georgia with complete contact information, ratings, reviews, and location data.

  9. p

    Insurance companies Business Data for Connecticut, United States

    • poidata.io
    csv, json
    Updated Oct 7, 2025
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    Business Data Provider (2025). Insurance companies Business Data for Connecticut, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/connecticut
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Connecticut
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 227 verified Insurance company businesses in Connecticut, United States with complete contact information, ratings, reviews, and location data.

  10. p

    Insurance companies Business Data for California, United States

    • poidata.io
    csv, json
    Updated Sep 20, 2025
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    Business Data Provider (2025). Insurance companies Business Data for California, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/california
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 20, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    California
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 1,471 verified Insurance company businesses in California, United States with complete contact information, ratings, reviews, and location data.

  11. p

    Insurance companies Business Data for Utah, United States

    • poidata.io
    csv, json
    Updated Oct 7, 2025
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    Business Data Provider (2025). Insurance companies Business Data for Utah, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/utah
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Utah
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 231 verified Insurance company businesses in Utah, United States with complete contact information, ratings, reviews, and location data.

  12. p

    Insurance companies Business Data for Washington, United States

    • poidata.io
    csv, json
    Updated Sep 6, 2025
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    Business Data Provider (2025). Insurance companies Business Data for Washington, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/washington
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 6, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Washington, United States, Washington
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 458 verified Insurance company businesses in Washington, United States with complete contact information, ratings, reviews, and location data.

  13. p

    Insurance companies Business Data for New Hampshire, United States

    • poidata.io
    csv, json
    Updated Oct 7, 2025
    + more versions
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    Business Data Provider (2025). Insurance companies Business Data for New Hampshire, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/new-hampshire
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    New Hampshire
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 83 verified Insurance company businesses in New Hampshire, United States with complete contact information, ratings, reviews, and location data.

  14. p

    Insurance companies Business Data for Illinois, United States

    • poidata.io
    csv, json
    Updated Sep 23, 2025
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    Business Data Provider (2025). Insurance companies Business Data for Illinois, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/illinois
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 23, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Illinois
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 497 verified Insurance company businesses in Illinois, United States with complete contact information, ratings, reviews, and location data.

  15. p

    Insurance companies Business Data for Iowa, United States

    • poidata.io
    csv, json
    Updated Aug 29, 2025
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    Business Data Provider (2025). Insurance companies Business Data for Iowa, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/iowa
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Aug 29, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Iowa
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 255 verified Insurance company businesses in Iowa, United States with complete contact information, ratings, reviews, and location data.

  16. p

    Insurances Business Data for Pennsylvania, United States

    • poidata.io
    csv, json
    Updated Oct 7, 2025
    + more versions
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    Business Data Provider (2025). Insurances Business Data for Pennsylvania, United States [Dataset]. https://www.poidata.io/report/insurance/united-states/pennsylvania
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Pennsylvania
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 28 verified Insurance businesses in Pennsylvania, United States with complete contact information, ratings, reviews, and location data.

  17. p

    Insurance companies Business Data for Indiana, United States

    • poidata.io
    csv, json
    Updated Sep 7, 2025
    + more versions
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    Business Data Provider (2025). Insurance companies Business Data for Indiana, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/indiana
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Sep 7, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Indiana
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 505 verified Insurance company businesses in Indiana, United States with complete contact information, ratings, reviews, and location data.

  18. p

    Insurance companies Business Data for Mississippi, United States

    • poidata.io
    csv, json
    Updated Oct 7, 2025
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    Business Data Provider (2025). Insurance companies Business Data for Mississippi, United States [Dataset]. https://www.poidata.io/report/insurance-company/united-states/mississippi
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 7, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    Mississippi
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 322 verified Insurance company businesses in Mississippi, United States with complete contact information, ratings, reviews, and location data.

  19. p

    Insurance companies Business Data for EH

    • poidata.io
    csv, json
    Updated Sep 25, 2025
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    Business Data Provider (2025). Insurance companies Business Data for EH [Dataset]. https://poidata.io/report/insurance-company/eh
    Explore at:
    json, csvAvailable download formats
    Dataset updated
    Sep 25, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    EH
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 11 verified Insurance company businesses in EH with complete contact information, ratings, reviews, and location data.

  20. p

    Insurance companies Business Data for GP

    • poidata.io
    csv, json
    Updated Oct 2, 2025
    Share
    FacebookFacebook
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    Click to copy link
    Link copied
    Close
    Cite
    Business Data Provider (2025). Insurance companies Business Data for GP [Dataset]. https://poidata.io/report/insurance-company/gp
    Explore at:
    csv, jsonAvailable download formats
    Dataset updated
    Oct 2, 2025
    Dataset authored and provided by
    Business Data Provider
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Time period covered
    2025
    Area covered
    GP
    Variables measured
    Website URL, Phone Number, Review Count, Business Name, Email Address, Business Hours, Customer Rating, Business Address, Business Categories, Geographic Coordinates
    Description

    Comprehensive dataset containing 46 verified Insurance company businesses in GP with complete contact information, ratings, reviews, and location data.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Dataintelo (2025). Location Data Provider Liability Insurance Market Research Report 2033 [Dataset]. https://dataintelo.com/report/location-data-provider-liability-insurance-market

Location Data Provider Liability Insurance Market Research Report 2033

Explore at:
pptx, pdf, csvAvailable download formats
Dataset updated
Sep 30, 2025
Dataset authored and provided by
Dataintelo
License

https://dataintelo.com/privacy-and-policyhttps://dataintelo.com/privacy-and-policy

Time period covered
2024 - 2032
Area covered
Global
Description

Location Data Provider Liability Insurance Market Outlook



According to our latest research, the global Location Data Provider Liability Insurance market size reached USD 2.14 billion in 2024, reflecting growing awareness of data privacy risks and regulatory compliance across digital industries. The market is experiencing robust expansion, with a CAGR of 13.2% anticipated from 2025 to 2033. By 2033, the market is forecasted to reach USD 6.10 billion. This significant growth is driven by the increasing adoption of location-based services, stricter data protection regulations, and the rising frequency of cyber incidents impacting companies that handle sensitive geolocation data.




The primary growth factor fueling the Location Data Provider Liability Insurance market is the exponential rise in the use of location intelligence across sectors such as retail, marketing, transportation, and financial services. As organizations leverage geospatial data to optimize operations and personalize customer experiences, the risk of data breaches, misuse, and regulatory non-compliance escalates. This has created a pressing need for tailored liability insurance products that protect data providers from legal claims, financial losses, and reputational damage. The proliferation of smartphones, IoT devices, and connected vehicles further amplifies the volume and sensitivity of location data, making robust insurance coverage an indispensable risk management tool for modern enterprises.




Another significant driver is the evolving global regulatory landscape, with frameworks like the General Data Protection Regulation (GDPR) in Europe, the California Consumer Privacy Act (CCPA) in the US, and similar laws emerging in Asia Pacific and Latin America. These regulations impose stringent requirements on the collection, processing, and sharing of location data, with severe penalties for non-compliance. As a result, location data providers are increasingly seeking specialized liability insurance policies that address the unique exposures related to regulatory investigations, fines, and third-party claims. Insurers, in turn, are innovating their product offerings to include comprehensive coverage for cyber liability, professional errors, and data privacy violations, driving further market expansion.




Technological advancements are also playing a pivotal role in shaping the Location Data Provider Liability Insurance market. The integration of artificial intelligence, machine learning, and blockchain in insurance underwriting and claims management is enhancing risk assessment accuracy and streamlining policy administration. Insurtech platforms are enabling real-time monitoring of insured risks, facilitating dynamic pricing models, and improving customer engagement through digital channels. These innovations are attracting technology companies, marketing agencies, and even traditional financial institutions to the market, broadening the customer base and fostering a competitive insurance ecosystem tailored to the needs of data-driven enterprises.




From a regional perspective, North America currently dominates the global Location Data Provider Liability Insurance market, accounting for over 38% of total market revenue in 2024. This leadership is attributed to the region’s advanced digital infrastructure, high adoption of location-based services, and proactive regulatory environment. Europe follows closely, with a strong focus on data privacy compliance and a mature insurance sector. Meanwhile, the Asia Pacific region is witnessing the fastest growth, propelled by rapid digitalization, a burgeoning startup ecosystem, and increasing awareness of data-related risks. Latin America and the Middle East & Africa are gradually catching up, driven by regulatory reforms and expanding digital economies.



Coverage Type Analysis



The Coverage Type segment in the Location Data Provider Liability Insurance market encompasses General Liability, Professional Liability, Cyber Liability, Product Liability, and Others. General Liability insurance serves as the foundational coverage, protecting location data providers from third-party claims related to bodily injury, property damage, and personal injury arising from their business operations. As location data becomes integral to various business models, the potential for disputes over data accuracy, misuse, or unintended harm increases, making general liability coverage essential. Insurers are

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