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HomeApplications & Use CasesGenerative AI Propels Customer Retention and NPS in Indian...

Generative AI Propels Customer Retention and NPS in Indian Insurance Sector, Report Reveals

TLDR: A new report highlights that generative AI is significantly enhancing customer retention and Net Promoter Scores (NPS) within the Indian insurance sector. Insurers leveraging this technology have seen a 14% increase in customer retention and a 30% rise in NPS, with experts foreseeing its crucial role in achieving ‘Insurance for All by 2047’. The global generative AI in insurance market is also experiencing exponential growth, driven by needs for fraud detection, operational efficiency, and improved customer experience.

A recent report, based on information released by Aritvatic.AI, indicates that generative artificial intelligence (AI) is making a substantial impact on the Indian insurance landscape. Insurers in India who have adopted generative AI technologies are experiencing notable improvements in key performance indicators. Specifically, customer retention has seen a significant boost of 14 percent, while Net Promoter Scores (NPS), a measure of customer loyalty and satisfaction, have surged by 30 percent. This data underscores the tangible benefits that AI-driven solutions are bringing to the sector.

Industry experts believe that generative AI is poised to play a pivotal role in achieving India’s ambitious target of ‘Insurance for All by 2047’, suggesting its potential to revolutionize accessibility and service delivery within the industry.

The broader global market for generative AI in insurance is also witnessing exponential growth. Valued at approximately $1.08 billion in 2024, it is projected to reach $1.51 billion in 2025, demonstrating a compound annual growth rate (CAGR) of 39.8%. Forecasts suggest this market could expand to $5.7 billion by 2029, maintaining a robust CAGR of 39.4%. This growth is primarily fueled by the increasing demand for advanced fraud detection, regulatory compliance, enhanced operational efficiency, and the proliferation of data within the insurance domain.

Looking ahead, the market’s continued expansion is expected to be driven by factors such as enhanced fraud detection capabilities, sophisticated predictive analytics, significant improvements in customer experience, the pursuit of competitive advantage, and the seamless integration of emerging technologies. Key trends anticipated in the forecast period include the development of hyper-personalized policies, advanced predictive risk modeling, automated claims processing, AI-driven customer service solutions, and the establishment of ethical AI governance frameworks.

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Beyond retention, productivity enhancement stands out as a primary motivator for insurers implementing generative AI. A survey by EY-Parthenon revealed that 70% of insurers with US$10 to US$25 billion in direct premiums written (DPW) and 82% of those with over US$25 billion DPW cite productivity gains as a key driver. The survey also highlighted that 84% of insurers without dedicated GenAI teams plan to establish them before 2025, with 61% aiming for Q2 2024, and all InsurTechs planning immediate team launches. Furthermore, 65% of all insurance companies anticipate a revenue uplift of over 10%, and 52% expect additional cost savings from their GenAI initiatives.

Karthik Mehta
Karthik Mehtahttps://blogs.edgentiq.com
Karthik Mehta is a data journalist known for his data-rich, insightful coverage of AI news and developments. Armed with a degree in Data Science from IIT Bombay and years of newsroom experience, Karthik merges storytelling with metrics to surface deeper narratives in AI-related events. His writing cuts through hype, revealing the real-world impact of Generative AI on industries, policy, and society. You can reach him out at: [email protected]

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