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AI Transforms Global Parametric Insurance
The article focuses on the development of the parametric insurance market through the contributions of artificial intelligence, where advanced techniques are employed in product design, risk assessment, and the development of claims models. Estimates indicate that the market size will reach $23.85 billion by 2026, with an expected annual growth rate exceeding 12.8% until 2030, involving new sectors such as agriculture and renewable energy. Modern models rely on analyzing various data sources such as climate records, satellite imagery, and geographic information to improve indicator accuracy and risk measurement—especially given the increasing frequency of extreme climate events. Additionally, parametric insurance systems are expanding through technologies like digital twins, monitoring risks of payout mismatches with losses, and fully automating claims payments. However, challenges related to data quality and regulation remain, which are essential to ensuring transparency. This reflects the industry's shift toward more dynamic and flexible products that better manage climate and economic risks effectively.
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