The Parametric Insurance Market Size was valued at USD 15.99 Billion in 2024 and is expected to reach USD 34.62 Billion by 2032 and grow at a CAGR of 10.1% over the forecast period 2025-2032.
Parametric insurance markets are thriving, providing fast data-triggered payouts on measurable peril episodes (like weather or disasters). It does not require a proof of loss, as does conventional insurance, so it is also lighter on the paperwork. Growing climate risk insurance and recovery urgency are driving adoption by agriculture, energy, and property. The cloud-based, hybrid, and on-premises deployment models, enhanced accessibility, with industry giants AXA, AIG, and Allianz providing tailored solutions.
For example, AXA’s heatwave parametric insurance product automatically pays out if temperatures hit a certain level, benefiting those working outside. Similarly, Allianz’s parametric insurance cover for cyclone risks in vulnerable regions, also underpinned by satellite data, results in quick completion of financial payments and demonstrates how insurance innovation delivers value.
The U.S. Parametric Insurance Market size was USD 4.29 billion in 2024 and is expected to reach USD 7.84 billion by 2032, growing at a CAGR of 7.82% during the forecast period of 2025-2032. The U.S. leads the Parametric Insurance Market, driven by advanced tech infrastructure, high insurance adoption, and climate-related risks. Frequent natural disasters heighten demand for faster claims via parametric models. Strong insurer-tech partnerships, real-time data use, and supportive regulations further fuel growth, positioning the U.S. as a global leader in expanding parametric insurance across various sectors.
Key Drivers:
Rising Climate Disasters and Weather Volatility Drive Global Demand for Parametric Insurance
In the parametric insurance market growth increasingly frequent and intense climate-related events, including hurricanes, floods, and droughts, have spurred demand for faster and more robust insurance payouts. Parametric insurance provides an answer using predefined triggers wind speeds or rainfall levels, for immediate claims settlement, with no inspections of traditional damage. The impact is particularly important for disaster-prone areas, in which traditional insurance can take weeks, months, or even longer to pay out claims.
For instance, when the temperature rises above certain levels, AXA’s heatwave parametric solution in Hong Kong automatically triggers, providing compensation to outdoor workers, demonstrating again how products like this are not theoretical, but very practical.
Restrain:
Limited Awareness and Understanding of Parametric Insurance Concepts Among Policyholders Hinder Market Expansion Efforts
The benefits of parametric insurance are clear, its penetration is held back by low awareness and understanding among potential customers. Several policyholders do not understand the principle of trigger-based losses and how these are different from traditional indemnity cover. This missing information can result in skepticism, lower acceptance, or misunderstandings about the veracity or fairness of such systems. Carriers and brokers will need to spend time educating customers to understand how parametric covers operate, especially in areas/industries that are less comfortable with progressive risk transfer options.
Opportunities:
Integration of Satellite, IoT, and Big Data Analytics Offers Lucrative Expansion Opportunities for Parametric Insurance Providers
The convergence and rapid development and adoption of these technologies, including satellites, IoT sensors, and big data analytics, are opening up huge opportunities in the parametric insurance space. These technologies allow insurers to capture real-time information, establish accurate triggers, and process claims across a wide range of scenarios from failed crops to seismic activity. This capacity extends the application of parametric insurance beyond the conventional to new areas such as renewable energy and infrastructure development.
For example, Allianz’s satellite-enabled flood insurance pilot in Ghana relies on geospatial information to trigger automatic payouts, illustrating the transformative nature of tech-enabled parametric models in underdeveloped markets.
Challenges:
Difficulty in Setting Accurate and Fair Triggers for Diverse Risks Creates Operational and Regulatory Challenges
The parametric insurance market is gaining triggers that are true and fair, that reflect losses without people disagreeing. If the trigger does not trip even though real damage is incurred, policyholders may find themselves insufficiently shielded. Conversely, if the trigger activates with minimal notional loss, insurers may be required to make a payout over what would otherwise be appropriate. This fine line makes underwriting difficult, and it takes the most cutting-edge data modeling and risk analysis. In addition, regulations in many countries are not yet well prepared to regulate parametrised models, and there are some concerns about the compliance hassles of using a side cart.
By Insurance Type
The Index-Based Insurance segment held the largest revenue share of 35% in 2024, driven by its simplicity and scalability in covering large, vulnerable populations. Companies like Swiss Re and AXA have launched innovative index-linked policies, particularly in agriculture and catastrophe-prone regions. For instance, AXA Climate's parametric agriculture cover offers index-based payouts triggered by satellite-observed data on drought and rainfall.
The Weather-Based Insurance segment is growing at the highest CAGR of 12.3% during the forecast period, fueled by increasing weather unpredictability and demand for rapid financial protection. Chubb and Munich Re have introduced customizable weather-based products using historical and forecasted data to protect businesses from climate variability.
By Deployment Mode
The Cloud-Based segment held the largest parametric insurance market share of 46% in 2024, driven by the rising demand for scalable, real-time insurance platforms. Companies such as AXA Climate and Aon are leveraging cloud-based solutions to deploy global parametric insurance schemes with real-time data analytics and automated claim triggers. This segment supports the parametric insurance market by enhancing operational agility, enabling insurers to expand coverage in climate-sensitive regions with minimal infrastructure constraints.
The On-Premise segment is growing at the highest CAGR of 12.31% during the forecast period, due to heightened security concerns and regulatory requirements in sectors such as defense, utilities, and finance. Firms like Berkshire Hathaway Specialty Insurance are investing in customized on-premise parametric platforms for sensitive data environments.
By Application
The agriculture segment held the largest revenue share of 32% in 2024, as parametric insurance provides rapid financial relief to farmers affected by drought, floods, or extreme weather. Companies like Swiss Re and the World Bank have launched index-based agricultural insurance in Africa and Asia, using rainfall or NDVI (vegetation index) triggers. These tools ensure timely payouts without the need for field assessments.
The Energy segment is growing at the highest CAGR of 11.9% during the forecast period, driven by the rising climate risk to renewable energy infrastructure. Munich Re and Lloyd’s have developed parametric wind and solar insurance to protect against low generation days or excess rainfall.
By Use Case
In 2023, the Large Enterprises segment accounted for 68% of revenue, as global corporations pursue quick and comprehensive risk transfer solutions in various regions. Aon and Swiss Re initiated parametric programs for Fortune 500 companies, addressing issues like natural disasters, supply chain interruptions, and climate-related risks. This segment propels the parametric insurance market by showcasing how large companies can navigate uncertainty with scalable, transparent, and efficient insurance models.
The SMEs segment is growing at the highest CAGR of 24.7% during the forecast period, fueled by increasing climate awareness and access to digital platforms. Startups like Skyline Partners and Arbol offer cloud-native parametric products tailored for small businesses in agriculture, tourism, and retail.
North America is projected to account for the largest parametric insurance market share of 38% in the Parametric Insurance Market during the forecast period, with the U.S. being the leading country. The region is dominated by a very developed technology infrastructure, a high level of adoption of new insurance solutions, and increasing risk from severe weather events, including hurricanes and wildfires. U.S. insurers, including Axa and Aon, are turning to parametric products instead of traditional insurance as they cut claims-processing time and limit risk exposure, meaning that Asia is the market that's turning heads.
The Asia Pacific is expected to grow at the highest CAGR is 14.8% in the market in 2024. India, China, Japan, among other nations, have increasingly been more and more open to disruptive innovation as they find themselves more susceptible to the effects of climate change, including floods, droughts, and typhoons. India is a dominating country in the Asia Pacific Parametric Insurance Market due to its high exposure to climate-related disasters like floods and droughts. To protect rural livelihoods, the government and insurers are adopting index-based solutions for faster payouts. Initiatives such as RARM use weather and satellite data to deliver quick, data-driven compensation to affected farmers.
Europe is predicted to continue with substantial growth in the Market in 2024, along with added focus on offering more effective risk management solutions across agricultural, energy, and infrastructure. Germany dominates the Parametric Insurance Market due to its strong insurance ecosystem, advanced technological infrastructure, and proactive climate risk management strategies.
In march 2024, Munich Re has developed parametric products that utilize weather stations and satellite data to provide immediate payouts for events like floods or hailstorms, reducing claims processing time.
The Latin America and Middle East & Africa regions are some of those that are showing substantial growth in the Parametric Insurance Market in 2024, due to the rise in climate risks, including droughts, floods, and weather conditions. Countries such as South Africa, UAE, Brazil, and Mexico are implementing parametric insurance, and insurers such as Swiss Re, Munich Re, Aon, and Zurich are providing data-driven, rapid payout solutions for improving disaster recovery and resilience.
The major players operating in the market are AXA, AIG, Allianz, Aon, Berkshire Hathaway Specialty Insurance, Chubb, Lloyd of London, Marsh & McLennan, Munich Re, and Swiss Re.
In August 2024, AXA Hong Kong and Macau unveiled the first-to-market heatwave parametric insurance product, which protects outdoor workers against extreme heat. The policy provides payouts or heatwave kits for when temperatures reach more than 36°C for three straight days, and the process is designed to be claims automatically with triggers, and no proof of loss is necessary.
In September 2024, AIG has been at the lead in shaping the parametric insurance market, delivering cutting-edge options to protect against climate-related risks. The importance of parametric products in deploying rapid financial aid to disaster-hit areas and preparing for future disasters in the affected communities has been highlighted by the company.
| Report Attributes | Details |
|---|---|
| Market Size in 2024 | USD 15.99 Billion |
| Market Size by 2032 | USD 34.62 Billion |
| CAGR | CAGR of 10.1% From 2025 to 2032 |
| Base Year | 2024 |
| Forecast Period | 2025-2032 |
| Historical Data | 2021-2023 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Insurance Type (Index-Based Insurance, Weather-Based Insurance, Catastrophe Bonds, Other Parametric Insurance Types) • By Application (Agriculture, Property and Casualty, Energy, Other Applications) • By Deployment Model (Cloud-Based, On-Premise, Hybrid) • By Use Case (Risk Mitigation, Index Tracking, Catastrophe Response, Other Use Cases) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Germany, France, UK, Italy, Spain, Poland, Turkey, Rest of Europe), Asia Pacific (China, India, Japan, South Korea, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (UAE, Saudi Arabia, Qatar, South Africa, Rest of Middle East & Africa), Latin America (Brazil, Argentina, Rest of Latin America) |
| Company Profiles | AXA, AIG, Allianz, Aon, Berkshire Hathaway Specialty Insurance, Chubb, Lloyd of London, Marsh & McLennan, Munich Re, Swiss Re. |
Ans: The Parametric Insurance Market is expected to grow at a CAGR of 10.1% during 2025-2032.
Ans: The Parametric Insurance Market size was USD 15.99 billion in 2024 and is expected to reach USD 34.62 billion by 2032.
Ans: The major growth factor of the Parametric Insurance Market is the increasing frequency of climate-related events, driving demand for faster, data-driven risk management solutions.
Ans: The Index-Based Insurance segment dominated the Parametric Insurance Market.
Ans: North America dominated the Parametric Insurance Market in 2024.
Table Of Content
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Payout Efficiency Statistics
5.2 Customer Satisfaction/Retention Rate
5.3 Insurance Penetration Rate by Region or Country
5.4 Loss Avoidance or Mitigation Metrics
6. Competitive Landscape
6.1 List of Major Companies By Region
6.2 Market Share Analysis By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Parametric Insurance Market Segmentation By Deployment Mode
7.1 Chapter Overview
7.2 Cloud-Based
7.2.1 Cloud-Based Market Trends Analysis (2020-2032)
7.2.2 Cloud-Based Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 On-premise
7.3.1 On-premise Market Trends Analysis (2020-2032)
7.3.2 On-premise Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Hybrid
7.4.1 Hybrid Market Trends Analysis (2020-2032)
7.4.2 Hybrid Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Parametric Insurance Market Segmentation By Insurance Type
8.1 Chapter Overview
8.2 Index-Based Insurance
8.2.1 Index-Based Insurance Market Trends Analysis (2020-2032)
8.2.2 Index-Based Insurance Market Size Estimates and Forecasts to 2032 (USD Billion)
8.3 Weather-Based Insurance
8.3.1 Weather-Based Insurance Market Trends Analysis (2020-2032)
8.3.2 Weather-Based Insurance Market Size Estimates and Forecasts to 2032 (USD Billion)
8.4 Catastrophe Bonds
8.4.1 Catastrophe Bonds Market Trends Analysis (2020-2032)
8.4.2 Catastrophe Bonds Market Size Estimates and Forecasts to 2032 (USD Billion)
8.5 Other Parametric Insurance Types
8.5.1 Other Parametric Insurance Types Market Trends Analysis (2020-2032)
8.5.2 Other Parametric Insurance Types Market Size Estimates and Forecasts to 2032 (USD Billion)
9. Parametric Insurance Market Segmentation by Application
9.1 Chapter Overview
9.2 Agriculture
9.2.1 Agriculture Market Trends Analysis (2020-2032)
9.2.2 Agriculture Market Size Estimates and Forecasts to 2032 (USD Billion)
9.3 Property and Casualty
9.3.1 Property and Casualty Market Trends Analysis (2020-2032)
9.3.2 Property and Casualty Market Size Estimates and Forecasts to 2032 (USD Billion)
9.4 Energy
9.4.1 Energy Market Trends Analysis (2020-2032)
9.4.2 Energy Market Size Estimates and Forecasts to 2032 (USD Billion)
9.5 Other Applications
9.5.1 Other Applications Market Trends Analysis (2020-2032)
9.5.2 Other Applications Market Size Estimates and Forecasts to 2032 (USD Billion)
10. Parametric Insurance Market Segmentation by Use Cases
10.1 Chapter Overview
10.2 Risk Mitigation
10.2.1 Risk Mitigation Market Trends Analysis (2020-2032)
10.2.2 Risk Mitigation Market Size Estimates and Forecasts to 2032 (USD Billion)
10.3 Index Tracking
10.3.1 Index Tracking Market Trend Analysis (2020-2032)
10.3.2 Index Tracking Market Size Estimates and Forecasts to 2032 (USD Billion)
10.4 Catastrophe Response
10.4.1 Catastrophe Response Market Trends Analysis (2020-2032)
10.4.2 Catastrophe Response Market Size Estimates and Forecasts to 2032 (USD Billion)
10.5 Other Use Cases
10.5.1 Other Use Cases Market Trends Analysis (2020-2032)
10.5.2 Other Use Cases Market Size Estimates and Forecasts to 2032 (USD Billion)
11. Regional Analysis
11.1 Chapter Overview
11.2 North America
11.2.1 Trend Analysis
11.2.2 North America Parametric Insurance Market Estimates and Forecasts by Country (2020-2032) (USD Billion)
11.2.3 North America Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.2.4 North America Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.2.5 North America Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.2.6 North America Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.2.7 USA
11.2.7.1 USA Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.2.7.2 USA Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.2.7.3 USA Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.2.7.4 USA Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.2.8 Canada
11.2.8.1 Canada Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.2.8.2 Canada Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.2.8.3 Canada Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.2.8.4 Canada Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.2.9 Mexico
11.2.9.1 Mexico Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.2.9.2 Mexico Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.2.9.3 Mexico Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.2.9.4 Mexico Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3 Europe
11.3.1 Trend Analysis
11.3.2 Europe Parametric Insurance Market Estimates and Forecasts by Country (2020-2032) (USD Billion)
11.3.3 Europe Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.4 Europe Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.5 Europe Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.6 Europe Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3.7 Germany
11.3.7.1 Germany Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.7.2 Germany Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.7.3 Germany Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.7.4 Germany Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3.8 France
11.3.8.1 France Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.8.2 France Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.8.3 France Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.8.4 France Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3.9 UK
11.3.9.1 UK Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.9.2 UK Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.9.3 UK Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.9.4 UK Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3.10 Italy
11.3.10.1 ItalyParametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.10.2 Italy Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.10.3 Italy Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.10.4 Italy Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3.11 Spain
11.3.11.1 Spain Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.11.2 Spain Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.11.3 Spain Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.11.4 Spain Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3.12 Poland
11.3.12.1 Poland Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.12.2 Poland Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.12.3 Poland Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.12.4 Poland Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3.13 Turkey
11.3.13.1 Turkey Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.13.2 Turkey Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.13.3 Turkey Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.13.4 Turkey Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.3.14 Rest of Europe
11.3.14.1 Rest of Europe Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.3.14.2 Rest of Europe Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.3.14.3 Rest of Europe Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.3.14.4 Rest of Europe Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.4 Asia Pacific
11.4.1 Trend Analysis
11.4.2 Asia Pacific Parametric Insurance Market Estimates and Forecasts by Country (2020-2032) (USD Billion)
11.4.3 Asia Pacific Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.4.4 Asia Pacific Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.4.5 Asia Pacific Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.4.6 Asia Pacific Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.4.7 China
11.4.7.1 China Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.4.7.2 China Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.4.7.3 China Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.4.7.4 China Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.4.8 India
11.4.8.1 India Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.4.8.2 India Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.4.8.3 India Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.4.8.4 India Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.4.9 Japan
11.4.9.1 Japan Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.4.9.2 Japan Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.4.9.3 Japan Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.4.9.4 Japan Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.4.10 South Korea
11.4.10.1 South Korea Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.4.10.2 South Korea Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.4.10.3 South Korea Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.4.10.4 South Korea Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.4.11 Singapore
11.4.11.1 Singapore Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.4.11.2 Singapore Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.4.11.3 Singapore Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.4.11.4 Singapore Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.4.12 Australia
11.4.12.1 Australia Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.4.12.2 Australia Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.4.12.3 Australia Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.4.12.4 Australia Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.4.13 Rest of Asia Pacific
11.4.13.1 Rest of Asia Pacific Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.4.13.2 Rest of Asia Pacific Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.4.13.3 Rest of Asia Pacific Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.4.13.4 Rest of Asia Pacific Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.5 Middle East and Africa
11.5.1 Trend Analysis
11.5.2 Middle East and Africa Parametric Insurance Market Estimates and Forecasts by Country (2020-2032) (USD Billion)
11.5.3 Middle East and Africa Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.5.4 Middle East and Africa Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.5.5 Middle East and Africa Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.5.6 Middle East and Africa Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.5.7 UAE
11.5.7.1 UAE Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.5.7.2 UAE Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.5.7.3 UAE Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.5.7.4 UAE Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.5.8 Saudi Arabia
11.5.8.1 Saudi Arabia Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.5.8.2 Saudi Arabia Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.5.8.3 Saudi Arabia Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.5.8.4 Saudi Arabia Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.5.1.9 Qatar
11.5.9.1 Qatar Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.5.9.2 Qatar Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.5.9.3 Qatar Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.5.1.9.4 Qatar Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.5.10 South Africa
11.5.10.1 South Africa Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.5.10.2 South Africa Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.5.10.3 South Africa Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.5.10.4 South Africa Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.5.11 Rest of Middle East & Africa
11.5.11.1 Rest of Middle East & Africa Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.5.11.2 Rest of Middle East & Africa Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.5.11.3 Rest of Middle East & Africa Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.5.11.4 Rest of Middle East & Africa Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.6 Latin America
11.6.1 Trend Analysis
11.6.2 Latin America Parametric Insurance Market Estimates and Forecasts by Country (2020-2032) (USD Billion)
11.6.3 Latin America Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.6.4 Latin America Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.6.5 Latin America Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.6.6 Latin America Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.6.7 Brazil
11.6.7.1 Brazil Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.6.7.2 Brazil Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.6.7.3 Brazil Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.6.7.4 Brazil Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.6.8 Argentina
11.6.8.1 Argentina Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.6.8.2 Argentina Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.6.8.3 Argentina Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.6.8.4 Argentina Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
11.6.9 Rest of Latin America
11.6.9.1 Rest of Latin America Parametric Insurance Market Estimates and Forecasts By Deployment Mode (2020-2032) (USD Billion)
11.6.9.2 Rest of Latin America Parametric Insurance Market Estimates and Forecasts By Insurance Type (2020-2032) (USD Billion)
11.6.9.3 Rest of Latin America Parametric Insurance Market Estimates and Forecasts by Application (2020-2032) (USD Billion)
11.6.9.4 Rest of Latin America Parametric Insurance Market Estimates and Forecasts by Use Cases (2020-2032) (USD Billion)
12. Company Profiles
12.1 AXA
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Services Offered
12.1.4 SWOT Analysis
12.2 AIG (American International Group)
12.2.1 Company Overview
12.2.2 Financial
12.2.3 Products/ Services Offered
12.2.4 SWOT Analysis
12.3 Allianz
12.3.1 Company Overview
12.3.2 Financial
12.3.3 Products/ Services Offered
12.3.4 SWOT Analysis
12.4 Aon
12.4.1 Company Overview
12.4.2 Financial
12.4.3 Products/ Services Offered
12.4.4 SWOT Analysis
12.5 Berkshire Hathaway Specialty Insurance
12.5.1 Company Overview
12.5.2 Financial
12.5.3 Products/ Services Offered
12.5.4 SWOT Analysis
12.6 Chubb
12.6.1 Company Overview
12.6.2 Financial
12.6.3 Products/ Services Offered
12.6.4 SWOT Analysis
12.7 Lloyd of London
12.7.1 Company Overview
12.7.2 Financial
12.7.3 Products/ Services Offered
12.7.4 SWOT Analysis
12.8 Marsh & McLennan
12.8.1 Company Overview
12.8.2 Financial
12.8.3 Products/ Services Offered
12.8.4 SWOT Analysis
12.9 Munich Re
12.9.1 Company Overview
12.9.2 Financial
12.9.3 Products/ Services Offered
12.9.4 SWOT Analysis
12.10 Swiss Re
12.10.1 Company Overview
12.10.2 Financial
12.10.3 Products/ Services Offered
12.10.4 SWOT Analysis
13. Use Cases and Best Practices
14. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
Key Segments:
By Insurance Type
Index-Based Insurance
Weather-Based Insurance
Catastrophe Bonds
Other Parametric Insurance Types
By Application
Agriculture
Property and Casualty
Energy
Other Applications
By Deployment Model
Cloud-Based
On-Premise
Hybrid
By Use Case
Risk Mitigation
Index Tracking
Catastrophe Response
Other Use Cases
Request for Segment Customization as per your Business Requirement: Segment Customization Request
Regional Coverage:
North America
US
Canada
Mexico
Europe
Germany
France
UK
Italy
Spain
Poland
Turkey
Rest of Europe
Asia Pacific
China
India
Japan
South Korea
Singapore
Australia
Rest of Asia Pacific
Middle East & Africa
UAE
Saudi Arabia
Qatar
South Africa
Rest of Middle East & Africa
Latin America
Brazil
Argentina
Rest of Latin America
Request for Country Level Research Report: Country Level Customization Request
Available Customization
With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Detailed Volume Analysis
Criss-Cross segment analysis (e.g. Product X Application)
Competitive Product Benchmarking
Geographic Analysis
Additional countries in any of the regions
Customized Data Representation
Detailed analysis and profiling of additional market players
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