Livestock Insurance Market by Animal Type (Cattle, Poultry, Sheep & Goats), Insurance Type (Indemnity, Index), Coverage Type, Provider, Premium Type, Distribution Channel - Global Forecast 2026-2032
Description
The Livestock Insurance Market was valued at USD 8.76 billion in 2025 and is projected to grow to USD 9.18 billion in 2026, with a CAGR of 5.00%, reaching USD 12.32 billion by 2032.
Contextual framing of why livestock insurance has surged in strategic importance amid biological, climatic, and geopolitical pressures affecting agricultural risk management
The livestock insurance sector is navigating a period of heightened strategic significance as agricultural volatility, supply chain complexity, and evolving risk profiles converge. Rising frequency of extreme weather events and shifting trade dynamics have intensified attention on financial risk transfer mechanisms for producers, processors, and lenders. As stakeholders reassess resilience strategies, insurance solutions are increasingly evaluated not just as indemnity mechanisms but as integral components of risk management, credit facilitation, and farm-level sustainability planning.
This executive summary synthesizes the most consequential developments that are reshaping decision-making across the value chain and highlights how insurers, reinsurers, policymakers, and distribution partners are responding. The analysis emphasizes the drivers behind product innovation, operational transformation, and distribution modernization while underscoring the interplay between regulatory shifts and market practice. Readers will find a concise framing of the prevailing forces, the segmentation characteristics that define product-market fits, and the strategic implications for organizations seeking to lead or adapt in an environment where both biological and geopolitical risks are material and persistent.
Fundamental market architecture evolution driven by digital underwriting, data-enabled index solutions, and partnership-based risk capacity innovations
Market participants are witnessing transformative shifts that extend beyond product tweaks and into the core architecture of risk transfer for livestock. Advances in data collection and analytics have enabled the emergence of index-based instruments and parametric overlays that shorten claim cycles and reduce moral hazard, while remote sensing and telemetry improve loss verification and pricing precision. Concurrently, digital distribution channels and embedded insurance models are lowering transaction costs and expanding accessibility for smallholder and commercial producers alike.
Operationally, insurers are prioritizing automation and straight-through processing to accelerate underwriting and claims settlement. Reinsurers and capital providers are likewise innovating with alternative risk transfer structures to broaden capacity and allocate risk more flexibly. Policy frameworks are adapting to support public-private partnerships designed to stabilize premiums and incentivize risk mitigation investments. Taken together, these changes are not merely incremental; they reflect a structural migration toward more modular, data-centric, and partnership-driven approaches to livestock risk management that reshape competitive dynamics and redefine customer expectations.
Comprehensive analysis of how tariff-driven commodity disruptions and shifting trade flows are compounding risk correlation and capital placement challenges for livestock insurance
The imposition of tariffs and trade measures in recent policy cycles has introduced additional complexity into the operating environment for livestock insurers and the producers they serve. Tariff-induced shifts in feed costs, import-export flows, and commodity price relationships have altered production economics in ways that influence loss exposure, herd management strategies, and the financial health of producers. Insurers must now incorporate macro-trade variables into loss models and stress-testing routines to properly anticipate correlated losses triggered by policy shocks.
In addition, tariff regimes can reshape reinsurance and capital flows by influencing the geographic distribution of risk and the stability of premium pools. This has prompted a reevaluation of counterparty concentration and cross-border reinsurance arrangements. As trade barriers change the competitive landscape for livestock commodities, insurers are increasingly factoring trade scenario analysis into product design, pricing governance, and reserve planning. These cumulative effects underscore the necessity for dynamic modeling capabilities and closer integration between commercial underwriters, agricultural economists, and policy specialists to ensure resilience against tariff-driven volatility.
Detailed segmentation-driven insight highlighting how animal class, insurance architecture, coverage scope, distribution pathways, provider type, and premium design shape strategic product choices
Segmentation dynamics reveal where product design and distribution must be most finely tuned to user needs and risk characteristics. Based on animal type, the market is examined across cattle, poultry, sheep and goats, and swine, with cattle further disaggregated into beef cattle and dairy cattle and poultry decomposed into broilers and layers; each animal class has distinct production cycles, mortality profiles, and revenue sensitivities that demand specialized underwriting criteria and claims protocols. Based on insurance type, distinctions between indemnity-based policies and index-based solutions matter for moral hazard, basis risk, and administrative complexity, influencing adoption among different producer profiles.
Based on coverage type, differentiation across morbidity, mortality, and theft coverage defines actuarial risk buckets and mitigation incentives, shaping premium structures and eligibility rules. Based on distribution channel, banks, brokers, digital platforms, and direct insurer channels play unique roles in customer acquisition, financing linkage, and advisory services, with each channel presenting distinct cost-to-serve and trust considerations. Based on provider, the interplay between government-sponsored schemes and private insurers affects subsidy design, claims backstop arrangements, and the extent of market crowding. Finally, based on premium type, the choice between multi-peril and single-peril frameworks impacts risk pooling, product simplicity, and the capacity for modular add-ons, thereby informing strategic decisions around product portfolios and go-to-market sequencing.
Regional differentiation in innovation adoption, public-private roles, and distribution maturity shaping where livestock insurance can scale effectively across major global markets
Regional dynamics are central to understanding where innovation is most likely to accelerate and where structural constraints will persist. In the Americas, mature agricultural finance systems, broad reinsurer participation, and large commercial operations create conditions conducive to sophisticated product uptake and private market-led solutions. In contrast, Europe, Middle East & Africa presents a mosaic of regulatory regimes, varying levels of public sector involvement, and heterogeneous production systems, where targeted public-private partnerships and subsidy mechanisms often determine accessibility and scale.
Across Asia-Pacific, rapid modernization of livestock sectors, dense smallholder populations, and fast-evolving digital ecosystems are catalyzing novel distribution models and index-based approaches, yet affordability and basis risk management remain central concerns. Taken together, these regional landscapes indicate that the pace and form of product innovation are geographically differentiated: some regions can absorb market-led complexity and capital, while others require blended finance, capacity building, and policy alignment to translate product potential into accessible coverage at scale.
Strategic competitive moves by insurers, reinsurers, technology providers, and intermediaries driving ecosystem-wide capability building and integrated risk solutions for livestock cover
Leading players in the livestock insurance ecosystem are adapting their operating models to balance underwriting discipline with customer-centricity. Insurers are investing in specialized actuarial capabilities and biological risk expertise to refine likelihood estimations and loss severity assumptions, while reinsurers and alternative capital providers are offering bespoke capacity solutions that expand underwriting bandwidth. Technology vendors and insurtech partners are providing telemetry, remote sensing, and analytics platforms that reduce information asymmetry and enable near-real-time monitoring of risk drivers.
Distribution intermediaries, from traditional brokers to digital marketplaces, are recalibrating their value propositions to offer bundled advisory services and integrated financing options. Public institutions and donor partners continue to play a catalytic role by underwriting tail risk, supporting product piloting, and subsidizing access for high-value smallholder segments. Collectively, these stakeholders are constructing an ecosystem where risk transfer is complemented by prevention, finance linkage, and data-driven advisory, thereby moving the sector toward solutions that are more resilient, affordable, and operationally streamlined.
Action-oriented strategic priorities for carriers and partners to embed data-driven underwriting, blended finance models, hybrid distribution, and scenario-based resilience testing into operations
Industry leaders should pursue a multi-pronged approach that aligns product innovation with operational scalability and stakeholder incentives. First, embedding telemetry and remotely sensed indicators into underwriting and claims workflows will materially reduce friction and strengthen loss verification, but this must be accompanied by investments in data governance and privacy safeguards to maintain producer trust. Second, partnerships that blend public financial backstops with private underwriting expertise can accelerate reach while preserving commercial incentives; structuring layered risk financing with clear roles will be essential to avoid market distortion.
Third, distribution strategies should prioritize hybrid models that combine the trust and financing leverage of banks and brokers with the convenience and reach of digital platforms; aligning commission structures and advisory capabilities will increase penetration among small and medium producers. Fourth, prioritize modular product architectures that allow switching between multi-peril and single-peril options and enable riders for mortality, morbidity, and theft, thereby catering to heterogenous producer preferences. Finally, strengthen scenario-based stress testing that incorporates trade policy shifts and climate extremes to ensure capital adequacy and responsive pricing governance, enabling organizations to remain nimble in the face of systemic shocks.
Comprehensive mixed-methods research approach combining expert interviews, secondary evidence synthesis, triangulation, and scenario analysis to support practical and validated insights
The research underpinning this summary integrates qualitative and quantitative techniques to ensure robust, actionable conclusions. Primary research comprised structured interviews with underwriters, reinsurers, distribution partners, agricultural economists, and policy specialists to capture decision-making logic, product evolution, and operational constraints. Complementary secondary research synthesized publicly available regulatory documents, industry publications, and technical literature on livestock health, remote sensing methods, and agricultural finance to contextualize observed trends and validate practitioner perspectives.
Analytical methods included triangulation across sources to reconcile divergent viewpoints, cross-sectional analysis of product features and distribution models to identify replicable patterns, and scenario analysis to evaluate the interaction between trade policy shifts and production risk. Data quality protocols emphasized source provenance, temporal relevance, and methodological transparency. Throughout, the approach prioritized practical relevance by testing hypotheses against commercial feasibility and regulatory considerations, ensuring that recommendations are grounded in both empirical evidence and the operational realities of deployment.
Concise synthesis of market maturation pathways, resilience imperatives, and the strategic levers necessary to scale effective livestock insurance solutions sustainably
In summary, livestock insurance is maturing from a niche risk transfer instrument into a strategic lever for resilience, financial inclusion, and supply chain stability. Technological advances and evolving distribution models are lowering barriers to access and enabling new product families, but successful scale depends on aligning underwriting rigor with affordability and public policy support. Tariff-induced market shifts and climate stressors increase the need for dynamic modeling and capital flexibility, making blended finance structures and partnership-driven capacity solutions essential components of a robust market architecture.
The way forward requires coordinated action across providers, distributors, and public actors to design products that are operationally viable, financially sustainable, and socially equitable. By integrating data-driven underwriting, layered financing, and hybrid distribution approaches, stakeholders can expand coverage while preserving actuarial discipline. The cumulative picture is one of opportunity tempered by complexity: actors that invest in capability building, partnership design, and adaptive governance will be best positioned to convert emerging demand into long-term, scalable risk protection solutions.
Note: PDF & Excel + Online Access - 1 Year
Contextual framing of why livestock insurance has surged in strategic importance amid biological, climatic, and geopolitical pressures affecting agricultural risk management
The livestock insurance sector is navigating a period of heightened strategic significance as agricultural volatility, supply chain complexity, and evolving risk profiles converge. Rising frequency of extreme weather events and shifting trade dynamics have intensified attention on financial risk transfer mechanisms for producers, processors, and lenders. As stakeholders reassess resilience strategies, insurance solutions are increasingly evaluated not just as indemnity mechanisms but as integral components of risk management, credit facilitation, and farm-level sustainability planning.
This executive summary synthesizes the most consequential developments that are reshaping decision-making across the value chain and highlights how insurers, reinsurers, policymakers, and distribution partners are responding. The analysis emphasizes the drivers behind product innovation, operational transformation, and distribution modernization while underscoring the interplay between regulatory shifts and market practice. Readers will find a concise framing of the prevailing forces, the segmentation characteristics that define product-market fits, and the strategic implications for organizations seeking to lead or adapt in an environment where both biological and geopolitical risks are material and persistent.
Fundamental market architecture evolution driven by digital underwriting, data-enabled index solutions, and partnership-based risk capacity innovations
Market participants are witnessing transformative shifts that extend beyond product tweaks and into the core architecture of risk transfer for livestock. Advances in data collection and analytics have enabled the emergence of index-based instruments and parametric overlays that shorten claim cycles and reduce moral hazard, while remote sensing and telemetry improve loss verification and pricing precision. Concurrently, digital distribution channels and embedded insurance models are lowering transaction costs and expanding accessibility for smallholder and commercial producers alike.
Operationally, insurers are prioritizing automation and straight-through processing to accelerate underwriting and claims settlement. Reinsurers and capital providers are likewise innovating with alternative risk transfer structures to broaden capacity and allocate risk more flexibly. Policy frameworks are adapting to support public-private partnerships designed to stabilize premiums and incentivize risk mitigation investments. Taken together, these changes are not merely incremental; they reflect a structural migration toward more modular, data-centric, and partnership-driven approaches to livestock risk management that reshape competitive dynamics and redefine customer expectations.
Comprehensive analysis of how tariff-driven commodity disruptions and shifting trade flows are compounding risk correlation and capital placement challenges for livestock insurance
The imposition of tariffs and trade measures in recent policy cycles has introduced additional complexity into the operating environment for livestock insurers and the producers they serve. Tariff-induced shifts in feed costs, import-export flows, and commodity price relationships have altered production economics in ways that influence loss exposure, herd management strategies, and the financial health of producers. Insurers must now incorporate macro-trade variables into loss models and stress-testing routines to properly anticipate correlated losses triggered by policy shocks.
In addition, tariff regimes can reshape reinsurance and capital flows by influencing the geographic distribution of risk and the stability of premium pools. This has prompted a reevaluation of counterparty concentration and cross-border reinsurance arrangements. As trade barriers change the competitive landscape for livestock commodities, insurers are increasingly factoring trade scenario analysis into product design, pricing governance, and reserve planning. These cumulative effects underscore the necessity for dynamic modeling capabilities and closer integration between commercial underwriters, agricultural economists, and policy specialists to ensure resilience against tariff-driven volatility.
Detailed segmentation-driven insight highlighting how animal class, insurance architecture, coverage scope, distribution pathways, provider type, and premium design shape strategic product choices
Segmentation dynamics reveal where product design and distribution must be most finely tuned to user needs and risk characteristics. Based on animal type, the market is examined across cattle, poultry, sheep and goats, and swine, with cattle further disaggregated into beef cattle and dairy cattle and poultry decomposed into broilers and layers; each animal class has distinct production cycles, mortality profiles, and revenue sensitivities that demand specialized underwriting criteria and claims protocols. Based on insurance type, distinctions between indemnity-based policies and index-based solutions matter for moral hazard, basis risk, and administrative complexity, influencing adoption among different producer profiles.
Based on coverage type, differentiation across morbidity, mortality, and theft coverage defines actuarial risk buckets and mitigation incentives, shaping premium structures and eligibility rules. Based on distribution channel, banks, brokers, digital platforms, and direct insurer channels play unique roles in customer acquisition, financing linkage, and advisory services, with each channel presenting distinct cost-to-serve and trust considerations. Based on provider, the interplay between government-sponsored schemes and private insurers affects subsidy design, claims backstop arrangements, and the extent of market crowding. Finally, based on premium type, the choice between multi-peril and single-peril frameworks impacts risk pooling, product simplicity, and the capacity for modular add-ons, thereby informing strategic decisions around product portfolios and go-to-market sequencing.
Regional differentiation in innovation adoption, public-private roles, and distribution maturity shaping where livestock insurance can scale effectively across major global markets
Regional dynamics are central to understanding where innovation is most likely to accelerate and where structural constraints will persist. In the Americas, mature agricultural finance systems, broad reinsurer participation, and large commercial operations create conditions conducive to sophisticated product uptake and private market-led solutions. In contrast, Europe, Middle East & Africa presents a mosaic of regulatory regimes, varying levels of public sector involvement, and heterogeneous production systems, where targeted public-private partnerships and subsidy mechanisms often determine accessibility and scale.
Across Asia-Pacific, rapid modernization of livestock sectors, dense smallholder populations, and fast-evolving digital ecosystems are catalyzing novel distribution models and index-based approaches, yet affordability and basis risk management remain central concerns. Taken together, these regional landscapes indicate that the pace and form of product innovation are geographically differentiated: some regions can absorb market-led complexity and capital, while others require blended finance, capacity building, and policy alignment to translate product potential into accessible coverage at scale.
Strategic competitive moves by insurers, reinsurers, technology providers, and intermediaries driving ecosystem-wide capability building and integrated risk solutions for livestock cover
Leading players in the livestock insurance ecosystem are adapting their operating models to balance underwriting discipline with customer-centricity. Insurers are investing in specialized actuarial capabilities and biological risk expertise to refine likelihood estimations and loss severity assumptions, while reinsurers and alternative capital providers are offering bespoke capacity solutions that expand underwriting bandwidth. Technology vendors and insurtech partners are providing telemetry, remote sensing, and analytics platforms that reduce information asymmetry and enable near-real-time monitoring of risk drivers.
Distribution intermediaries, from traditional brokers to digital marketplaces, are recalibrating their value propositions to offer bundled advisory services and integrated financing options. Public institutions and donor partners continue to play a catalytic role by underwriting tail risk, supporting product piloting, and subsidizing access for high-value smallholder segments. Collectively, these stakeholders are constructing an ecosystem where risk transfer is complemented by prevention, finance linkage, and data-driven advisory, thereby moving the sector toward solutions that are more resilient, affordable, and operationally streamlined.
Action-oriented strategic priorities for carriers and partners to embed data-driven underwriting, blended finance models, hybrid distribution, and scenario-based resilience testing into operations
Industry leaders should pursue a multi-pronged approach that aligns product innovation with operational scalability and stakeholder incentives. First, embedding telemetry and remotely sensed indicators into underwriting and claims workflows will materially reduce friction and strengthen loss verification, but this must be accompanied by investments in data governance and privacy safeguards to maintain producer trust. Second, partnerships that blend public financial backstops with private underwriting expertise can accelerate reach while preserving commercial incentives; structuring layered risk financing with clear roles will be essential to avoid market distortion.
Third, distribution strategies should prioritize hybrid models that combine the trust and financing leverage of banks and brokers with the convenience and reach of digital platforms; aligning commission structures and advisory capabilities will increase penetration among small and medium producers. Fourth, prioritize modular product architectures that allow switching between multi-peril and single-peril options and enable riders for mortality, morbidity, and theft, thereby catering to heterogenous producer preferences. Finally, strengthen scenario-based stress testing that incorporates trade policy shifts and climate extremes to ensure capital adequacy and responsive pricing governance, enabling organizations to remain nimble in the face of systemic shocks.
Comprehensive mixed-methods research approach combining expert interviews, secondary evidence synthesis, triangulation, and scenario analysis to support practical and validated insights
The research underpinning this summary integrates qualitative and quantitative techniques to ensure robust, actionable conclusions. Primary research comprised structured interviews with underwriters, reinsurers, distribution partners, agricultural economists, and policy specialists to capture decision-making logic, product evolution, and operational constraints. Complementary secondary research synthesized publicly available regulatory documents, industry publications, and technical literature on livestock health, remote sensing methods, and agricultural finance to contextualize observed trends and validate practitioner perspectives.
Analytical methods included triangulation across sources to reconcile divergent viewpoints, cross-sectional analysis of product features and distribution models to identify replicable patterns, and scenario analysis to evaluate the interaction between trade policy shifts and production risk. Data quality protocols emphasized source provenance, temporal relevance, and methodological transparency. Throughout, the approach prioritized practical relevance by testing hypotheses against commercial feasibility and regulatory considerations, ensuring that recommendations are grounded in both empirical evidence and the operational realities of deployment.
Concise synthesis of market maturation pathways, resilience imperatives, and the strategic levers necessary to scale effective livestock insurance solutions sustainably
In summary, livestock insurance is maturing from a niche risk transfer instrument into a strategic lever for resilience, financial inclusion, and supply chain stability. Technological advances and evolving distribution models are lowering barriers to access and enabling new product families, but successful scale depends on aligning underwriting rigor with affordability and public policy support. Tariff-induced market shifts and climate stressors increase the need for dynamic modeling and capital flexibility, making blended finance structures and partnership-driven capacity solutions essential components of a robust market architecture.
The way forward requires coordinated action across providers, distributors, and public actors to design products that are operationally viable, financially sustainable, and socially equitable. By integrating data-driven underwriting, layered financing, and hybrid distribution approaches, stakeholders can expand coverage while preserving actuarial discipline. The cumulative picture is one of opportunity tempered by complexity: actors that invest in capability building, partnership design, and adaptive governance will be best positioned to convert emerging demand into long-term, scalable risk protection solutions.
Note: PDF & Excel + Online Access - 1 Year
Table of Contents
188 Pages
- 1. Preface
- 1.1. Objectives of the Study
- 1.2. Market Definition
- 1.3. Market Segmentation & Coverage
- 1.4. Years Considered for the Study
- 1.5. Currency Considered for the Study
- 1.6. Language Considered for the Study
- 1.7. Key Stakeholders
- 2. Research Methodology
- 2.1. Introduction
- 2.2. Research Design
- 2.2.1. Primary Research
- 2.2.2. Secondary Research
- 2.3. Research Framework
- 2.3.1. Qualitative Analysis
- 2.3.2. Quantitative Analysis
- 2.4. Market Size Estimation
- 2.4.1. Top-Down Approach
- 2.4.2. Bottom-Up Approach
- 2.5. Data Triangulation
- 2.6. Research Outcomes
- 2.7. Research Assumptions
- 2.8. Research Limitations
- 3. Executive Summary
- 3.1. Introduction
- 3.2. CXO Perspective
- 3.3. Market Size & Growth Trends
- 3.4. Market Share Analysis, 2025
- 3.5. FPNV Positioning Matrix, 2025
- 3.6. New Revenue Opportunities
- 3.7. Next-Generation Business Models
- 3.8. Industry Roadmap
- 4. Market Overview
- 4.1. Introduction
- 4.2. Industry Ecosystem & Value Chain Analysis
- 4.2.1. Supply-Side Analysis
- 4.2.2. Demand-Side Analysis
- 4.2.3. Stakeholder Analysis
- 4.3. Porter’s Five Forces Analysis
- 4.4. PESTLE Analysis
- 4.5. Market Outlook
- 4.5.1. Near-Term Market Outlook (0–2 Years)
- 4.5.2. Medium-Term Market Outlook (3–5 Years)
- 4.5.3. Long-Term Market Outlook (5–10 Years)
- 4.6. Go-to-Market Strategy
- 5. Market Insights
- 5.1. Consumer Insights & End-User Perspective
- 5.2. Consumer Experience Benchmarking
- 5.3. Opportunity Mapping
- 5.4. Distribution Channel Analysis
- 5.5. Pricing Trend Analysis
- 5.6. Regulatory Compliance & Standards Framework
- 5.7. ESG & Sustainability Analysis
- 5.8. Disruption & Risk Scenarios
- 5.9. Return on Investment & Cost-Benefit Analysis
- 6. Cumulative Impact of United States Tariffs 2025
- 7. Cumulative Impact of Artificial Intelligence 2025
- 8. Livestock Insurance Market, by Animal Type
- 8.1. Cattle
- 8.1.1. Beef Cattle
- 8.1.2. Dairy Cattle
- 8.2. Poultry
- 8.2.1. Broilers
- 8.2.2. Layers
- 8.3. Sheep & Goats
- 8.4. Swine
- 9. Livestock Insurance Market, by Insurance Type
- 9.1. Indemnity
- 9.2. Index
- 10. Livestock Insurance Market, by Coverage Type
- 10.1. Morbidity
- 10.2. Mortality
- 10.3. Theft
- 11. Livestock Insurance Market, by Provider
- 11.1. Government
- 11.2. Private
- 12. Livestock Insurance Market, by Premium Type
- 12.1. Multi-Peril
- 12.2. Single-Peril
- 13. Livestock Insurance Market, by Distribution Channel
- 13.1. Banks
- 13.2. Brokers
- 13.3. Digital
- 13.4. Direct
- 14. Livestock Insurance Market, by Region
- 14.1. Americas
- 14.1.1. North America
- 14.1.2. Latin America
- 14.2. Europe, Middle East & Africa
- 14.2.1. Europe
- 14.2.2. Middle East
- 14.2.3. Africa
- 14.3. Asia-Pacific
- 15. Livestock Insurance Market, by Group
- 15.1. ASEAN
- 15.2. GCC
- 15.3. European Union
- 15.4. BRICS
- 15.5. G7
- 15.6. NATO
- 16. Livestock Insurance Market, by Country
- 16.1. United States
- 16.2. Canada
- 16.3. Mexico
- 16.4. Brazil
- 16.5. United Kingdom
- 16.6. Germany
- 16.7. France
- 16.8. Russia
- 16.9. Italy
- 16.10. Spain
- 16.11. China
- 16.12. India
- 16.13. Japan
- 16.14. Australia
- 16.15. South Korea
- 17. United States Livestock Insurance Market
- 18. China Livestock Insurance Market
- 19. Competitive Landscape
- 19.1. Market Concentration Analysis, 2025
- 19.1.1. Concentration Ratio (CR)
- 19.1.2. Herfindahl Hirschman Index (HHI)
- 19.2. Recent Developments & Impact Analysis, 2025
- 19.3. Product Portfolio Analysis, 2025
- 19.4. Benchmarking Analysis, 2025
- 19.5. Allianz SE
- 19.6. American International Group, Inc.
- 19.7. AXA S.A.
- 19.8. Chubb Limited
- 19.9. Farmers Mutual Hail Insurance Company of Iowa
- 19.10. FBL Financial Group, Inc.
- 19.11. Hannover Rück SE
- 19.12. ICICI Lombard General Insurance Company Limited
- 19.13. Liberty Mutual Insurance Company
- 19.14. Munich Reinsurance Company
- 19.15. SCOR SE
- 19.16. Swiss Re AG
- 19.17. The Hartford Financial Services Group, Inc.
- 19.18. Tokio Marine & Nichido Fire Insurance Co., Ltd.
- 19.19. Zurich Insurance Group AG
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