India Generative AI in Insurance Market Assessment, By Deployment [Cloud-based, On-premises], By Technology [Machine Learning, Natural Language Processing], By Application [Fraud Detection and Credit Analysis, Customer Profiling and Segmentation, Product and Policy Design, Underwriting and Claims Assessment, Chatbots], By Region, Opportunities and Forecast, FY2018-FY2032F

The India generative AI in insurance market is growing due to factors, such as enhanced client interaction, optimization of internal processes, and better risk management, driving the growth of generative AI in insurance market.

Home>Industry Reports>India Generative AI in Insurance Market Assessment, Opportunities and Forecast, FY2018-FY2032F

India generative AI in insurance market is projected to witness a CAGR of 38.28% during the forecast period FY2024-FY2032, growing from USD 29.02 million in FY2024 to USD 387.95 million in FY2032. Generative AI is changing the face of the Indian insurance market, owing to factors such as enhanced client interaction, optimization of internal processes, and better risk management, driving the growth of generative AI in insurance market. Chatbots based on AI and virtual assistants provide customized and timely responses to client queries, thereby automating tasks such as policy enquiries and quotation requests. This improves customer satisfaction and saves time of human advisors to deal with more complex tasks. It makes fraud detection easier by checking document authenticity and analyzing suspicious patterns in claims data. Additionally, AI makes it easier to custom-create personal insurance products and services that customers, by themselves, can decide upon.

In July 2023, HDFC ERGO General Insurance Company Limited announced the launch of the Centre of Excellence (CoE) for the Generative Artificial Intelligence (AI) and Google Cloud to support HDFC ERGO in the identification and development of the use-cases along with upskilling its teams on Gen AI.

Streaming Customer Service to Drive Market Growth of Generative AI

Generative AI is changing the customer service experience in the India insurance market. It is set to bring better management and personalized experience for all policyholders. Using natural language processing and machine learning algorithms, AI-enabled chatbots can simulate human conversations to gain knowledge of customer queries and respond to them with accurate solutions in real time. This is expected to enhance overall interaction and reduce the workload on human agents, allowing them to deal with complex issues more effectively. Further, generative AI will be able to process huge amounts of data to find the pattern for providing customized recommendations so that each customer gets policy recommendations tailored according to their requirements and tastes. With continued developments in technology, generative AI is bound to play a crucial role in smoothing out insurance processes from policy selection to management of claims, which shapes customer experiences with greater satisfaction, and hence loyalty toward insurance companies in India.

In January 2024, Bharti AXA General Insurance, the joint venture between Bharti Enterprises and AXA, initiated generative AI chatbots to provide personalized and timely responses to customer queries.

Enhanced Risk Assessment and Fraud Detection to Drive Growth

Generative AI models can enhance the capability to simulate and estimate risks involved in the realm of insurance. It can generate a large spectrum of scenarios based on historical data. This helps insurers to better understand the likelihood and potential impact of various risks. These valuable insights help insurers make informed decisions in deciding appropriate premiums. It runs different risk scenarios, and based on that information, companies can correct the setting of probability and magnitude of an event with a better view, hence modifying their pricing accordingly. It is helpful in self-risk management for the insurers, but it assures the customers that they will be charged a priced premium fairly and precisely, representing the actual cost of coverage. The use of generative AI in insurance how advanced technologies can be harnessed toward better risk management and enhanced customer experience, thereby improving the resilience of the sector.

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Chatbot Segment to Dominate Market

The chatbot segment is dominating the Indian insurance industry. Generative AI is changing the face of insurance with new ways of analyzing data, customer interaction, fraud detection, and business insights. Chatbots and virtual assistants, powered by AI, are rendering customized and timely responses to customer queries, which are automating processes such as policy inquiries and quotation requests. The automation increases customer satisfaction and allows human advisors to engage in more complex value-adding tasks. In addition, AI algorithms can flag potentially fraudulent activities by checking the authenticity of documents and detecting suspicious patterns in claims data, hence aiding insurers in fraud detection and deterrence.

In March 2024, Bajaj Allianz General Insurance launched Insurance Samjho, a Gen AI-powered bot, to simplify insurance for customers. This bridges the gap for customers by explaining the meaning of jargons in simplified and conversational terms. Customers are free to ask anything with regard to policies such as about what is covered or excluded and procedures of buying insurance.

Future Market Scenario (FY2024 – FY2032F)

1. The potential of generative AI in insurance is tremendous. The market is gradually moving into the space where AI can perform customer service and underwriting processes more efficiently, along with largely reducing fraudulent activities.

2. AI-driven chatbots and virtual assistants will provide personalized and timely responses to customer queries, increasing satisfaction, and allowing human advisors to address higher-core value functions. Predictive AI and machine learning models will help insurers to avoid adverse selection, perform constant fraud detection and remote claims assessment, and process claims quickly and seamlessly.

3. Generative AI will enable interactions that are hyper-personalized in nature, where the channels of interactions offer customized solutions to the customers based on their choices and risk profiles.

Report Scope

“India Generative AI in Insurance Market Assessment, Opportunities and Forecast, FY2018-FY2032F”, is a comprehensive report by Markets and Data, providing in-depth analysis and qualitative and quantitative assessment of the current state of India generative AI in the insurance market, industry dynamics, and challenges. The report includes market size, segmental shares, growth trends, opportunities, and forecast between FY2025 and FY2032. Additionally, the report profiles the leading players in the industry, mentioning their respective market share, business models, competitive intelligence, etc.

Report Attribute

Details

Base Year of the Analysis

FY2024

Historical Period

FY2018-FY2023

Forecast Period

FY2025-FY2032

Projected Growth Rate

CAGR of 38.28% between FY2025 and FY2032

Revenue Forecast in FY2032

USD 387.95 million

Segments Covered

Deployment, Technology, Application

Regions Covered

North, East, West and Central, South

Key Companies Profile

Markovate Inc., Leewayhertz Technologies Private Limited, Insurstaq Technologies Private Limited, Simplifai Cognitive Services Private Limited, Lithasa Technologies Private Limited

Customization Scope

15% free report customization with purchase

Pricing and Purchase Options

Avail the customized purchase options to fulfill your precise research needs

Delivery Format

PDF and Excel through email (subject to the license purchased)

In the report, India generative AI in insurance market has been segmented into the following categories:

  • By Deployment
    • Cloud-based
    • On-premises
  • By Technology
    • Machine Learning
    • Natural Language Processing
  • By Application
    • Fraud Detection and Credit Analysis
    • Customer Profiling and Segmentation
    • Product and Policy Design
    • Underwriting and Claims Assessment
    • Chatbots
  • By Region
    • North
    • East
    • West and Central
    • South

Key Players Landscape and Outlook

The growth of generative AI in insurance market is driven by increasing adoption across digital platforms, growing demand for personalized solutions in insurance, and government investments in research and development to focus on process optimization of products and services. With increasing adoption of generative AI in the India insurance industry the rise of competition from global and domestic market players can be witnessed. The insurers who are better equipped to use generative AI to achieve operational efficiencies, manage risks, and improve customer experience will gain a competitive advantage over others in the transforming Indian insurance market.

In May 2024, Bajaj Allianz General Insurance introduced generative AI systems for its underwriting process automation. These AI models will analyze data from applicants, medical records, and other information that may award risky profiles and modify accordingly the coverage and premium charged for that particular risk. It quickens the speed of underwriting with more consistency and accuracy.

Key Players Operating in India Generative AI in Insurance Market are:

  • Markovate Inc.
  • Leewayhertz Technologies Private Limited
  • Insurstaq Technologies Private Limited
  • Simplifai Cognitive Services Private Limited
  • Lithasa Technologies Private Limited

Markets and Data’s reports answer the following questions:

  • What is the current and future market size of the product/service in question globally or specific to different countries?
  • How are the markets divided into different product/service segments and the market size and growth of each segment? 
  • What is the market potential of different product segments and their investment case?
  • How are the markets predicted to develop in the future and what factors will drive or inhibit growth?
  • What is the business environment and regulatory landscape specific to the product/service?

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2,970

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3,960

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5,950

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