The global insurance fraud detection market is projected to grow from $8.52 billion in 2026 to $20.2 billion by 2031, according to new research from Mordor Intelligence. The report attributes the growth to increasing fraud activity, rising claim volumes, stronger regulatory oversight, and widespread adoption of artificial intelligence and machine learning technologies throughout the insurance industry.
For claims professionals, the report highlights how fraud detection tools are becoming more deeply embedded in claim operations. Insurers are using advanced analytics, predictive modeling, natural language processing, computer vision, and automated workflows to identify suspicious claims earlier in the process. These technologies can analyze claim notes, photos, videos, and claimant behavior patterns to flag potential fraud before payments are issued.
The report also points to growing use of telematics and Internet of Things data. Connected vehicle information, property sensors, and other real-time data sources provide additional evidence that can help adjusters validate losses, identify inconsistencies, and uncover organized fraud schemes. As insurers collect more digital information from policyholders and insured assets, fraud investigations are increasingly supported by objective data rather than solely relying on interviews and documentation.
Regional developments suggest different approaches to fraud prevention. In Asia-Pacific markets, insurers are leveraging mobile-first platforms, digital identity systems, and alternative data sources. North American carriers continue expanding the use of behavioral biometrics, connected vehicle data, and sophisticated analytics platforms to strengthen fraud monitoring while meeting regulatory requirements.
The broader takeaway for adjusters is that fraud detection technology is shifting from a specialized function to a core component of modern claims handling. As insurers continue investing in automation and AI-driven investigation tools, claims professionals will likely encounter more automated fraud alerts, enhanced digital evidence, and greater expectations for data-informed claim decisions.
