Date of Award
1-1-2026
Document Type
Thesis
Degree Name
Bachelors
Department
Social Sciences
First Advisor
Khemraj, Tarron
Area of Concentration
Economics
Abstract
This paper develops a comprehensive industry analysis of the U.S. insurance market, integrating market definition, value-chain mapping, industry dynamics, competitive forces, benchmarking, and company applications. It concludes with a focused assessment of how artificial intelligence (AI) is reshaping underwriting, claims, fraud detection, customer interaction, and product innovation. Drawing on regulatory and industry sources (NAIC, Insurance Information Institute, U.S. Treasury’s Federal Insurance Office), and management/consulting research (McKinsey, Deloitte, EY, IBM), the analysis finds a large, mature sector under structural transformation via data and AI. Premiums exceed $1.7 trillion, with Property & Casualty (P/C) representing ~53% and Life/Annuity ~47%. Key risks include climate-related loss volatility, inflation in claims severity, and algorithmic governance. Strategic advantages increasingly hinge on data assets, model governance, and operating discipline.
Recommended Citation
de Mendonca Marques, Luan, "U.S. Insurance Industry: Strategic Analysis on Auto and Property Insurance" (2026). Theses & ETDs. 6760.
https://digitalcommons.ncf.edu/theses_etds/6760