保険向け生成AIのインド市場の評価：展開別、技術別、用途別、地域別、機会、予測（2018年度～2032年度）

インドの保険向け生成AIの市場規模は、2024年度の2,902万米ドルから2032年度に3億8,795万米ドルに達すると予測され、2024年度～2032年度の予測期間にCAGRで38.28％の成長が見込まれます。生成AIは、顧客との対話の強化、内部プロセスの最適化、リスク管理の改善などの要因により、インドの保険市場の様相を変えつつあり、保険向け生成AI市場の成長を促進しています。AIやバーチャルアシスタントに基づくチャットボットは、顧客からの問い合わせにカスタマイズされたタイムリーな回答を提供することで、保険契約の問い合わせや推計依頼などのタスクを自動化します。これにより顧客満足度が向上し、人間のアドバイザーがより複雑なタスクに対処するために時間を節約できます。また、書類の真正性をチェックしたり、保険金請求データの疑わしいパターンを分析したりすることで、不正行為の発見が容易になります。さらにAIは、顧客自身が決定できる個人向け保険商品やサービスのカスタムメイドを容易にします。

2023年7月、HDFC ERGO General Insurance Company Limitedは、HDFC ERGOを支援するため、生成AIとGoogle Cloud向けのCentre of Excellence（CoE）を立ち上げ、生成AIに関するチームのスキルアップとともにユースケースの特定と開発を行うことを発表しました。

ストリーミングカスタマーサービスが生成AIの市場成長を促進

生成AIは、インドの保険市場におけるカスタマーサービス体験を変えつつあります。これは、すべての保険契約者によりよい管理と個別化された体験をもたらすように設定されています。自然言語処理と機械学習アルゴリズムを使用することで、AI対応チャットボットは人間の会話をシミュレートし、顧客からの問い合わせに関する知識を得て、正確なソリューションをリアルタイムで回答することができます。これにより、全体的なインタラクションが強化され、人間の取次人の作業負荷が軽減され、複雑な問題により効果的に対処できるようになると予測されます。さらに、生成AIは膨大な量のデータを処理して、カスタマイズされた推奨の提供に向けたパターンを見つけることができるようになり、各顧客が要件や選好に応じてカスタマイズされた方針を推奨されるようになります。技術の継続的な発展により、生成AIは、保険契約の選択から保険金請求の管理までの保険プロセスを円滑化し、より満足度の高い顧客体験を形成し、ひいてはインドの保険企業に対するロイヤルティを高める上で重要な役割を果たします。

2024年1月、Bharti EnterprisesとAXAの合弁企業であるBharti AXA General Insuranceは、顧客からの問い合わせに個別化されたタイムリーな回答を提供するため、生成AIチャットボットを開始しました。

リスク評価と不正検知の強化が成長を促進

生成AIモデルは、保険の領域に関わるリスクをシミュレーションし、推定する能力を強化することができます。AIモデルは、過去のデータに基づいてさまざまなシナリオを生成することができます。これにより、保険企業はさまざまなリスクの可能性と潜在的な影響をよりよく理解することができます。これは、保険企業が適切な保険料を決定する際に、十分な情報に基づいた意思決定を行うのに役立ちます。さまざまなリスクのシナリオを実行し、その情報に基づいて、保険企業はある事象の確率や大きさの設定をより適切なものに修正することができます。保険企業にとっては自己のリスクの管理に役立つ一方で、顧客にとっては実際の保険コストを表す保険料が公正かつ正確に請求されることが保証されます。保険向け生成AIの活用は、よりよいリスク管理と顧客体験の向上に向けて先進技術をどのように活用できるかを示すものであり、それによって保険産業のレジリエンスを向上させます。

当レポートでは、インドの保険向け生成AI市場について調査分析し、市場規模と予測、市場力学、主要企業の情勢と見通しなどを提供しています。

目次

第1章 プロジェクトの範囲と定義

第2章 調査手法

第3章 エグゼクティブサマリー

第4章 顧客の声

• 製品と市場情報
• 購入決定において考慮される要素
• 請求処理の効率化
• 実装タイムライン
• カスタマーサポートとサービス

第5章 インドの保険向け生成AI市場の見通し（2018年度～2032年度）

• 市場規模の分析と予測
  • 金額
• 市場シェア分析と予測
  • 展開別
  • 技術別
  • 用途別
  • 地域別
  • 市場シェア分析：企業別（金額）（上位5社とその他 - 2024年度）
• 市場マップ分析（2024年度）
  • 展開別
  • 技術別
  • 用途別
  • 地域別

第6章 需給分析

第7章 バリューチェーン分析

第8章 ポーターのファイブフォース分析

第9章 PESTLE分析

第10章 サブスクリプションコスト分析

第11章 市場力学

• 市場促進要因
• 市場の課題

第12章 市場の動向と発展

第13章 ケーススタディ

第14章 競合情勢

• マーケットリーダー上位5社の競合マトリクス
• 上位5社のSWOT分析
• 主要企業上位5社の情勢
  • Markovate Inc.
  • Leewayhertz Technologies Private Limited
  • Insurstaq Technologies Private Limited
  • Simplifai Cognitive Services Private Limited
  • Lithasa Technologies Private Limited

第15章 戦略的推奨

第16章 当社について、免責事項

List of Tables

• Table 1. Pricing Analysis of Products from Key Players
• Table 2. Competition Matrix of Top 5 Market Leaders
• Table 3. Mergers & Acquisitions/ Joint Ventures (If Applicable)
• Table 4. About Us - Regions and Countries Where We Have Executed Client Projects

List of Figures

• Figure 1. India Generative AI in Insurance Market, By Value, In USD Million, FY2018-FY2032F
• Figure 2. India Generative AI in Insurance Market Share (%), By Deployment, FY2018-FY2032F
• Figure 3. India Generative AI in Insurance Market Share (%), By Technology, FY2018-FY2032F
• Figure 4. India Generative AI in Insurance Market Share (%), By Application, FY2018-FY2032F
• Figure 5. India Generative AI in Insurance Market Share (%), By Region, FY2018-FY2032F
• Figure 6. By Deployment Map-Market Size (USD Million) & Growth Rate (%), FY2024
• Figure 7. By Technology Map-Market Size (USD Million) & Growth Rate (%), FY2024
• Figure 8. By Application Map-Market Size (USD Million) & Growth Rate (%), FY2024
• Figure 9. By Region Map-Market Size (USD Million) & Growth Rate (%), FY2024

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.

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)

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.

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.

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.

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.

Table of Contents

1. Project Scope and Definitions

2. Research Methodology

3. Executive Summary

4. Voice of Customer

• 4.1. Product and Market Intelligence
• 4.2. Factors Considered in Purchase Decisions
  • 4.2.1. Customization and Flexibility
  • 4.2.2. Data Security and Privacy
  • 4.2.3. Company Reputation
  • 4.2.4. Product Scalability
  • 4.2.5. Integration Capabilities
  • 4.2.6. Regulatory Compliance
• 4.3. Claim Processing Efficiency
• 4.4. Implementation Timeline
• 4.5. Customer Support and Service

5. India Generative AI in Insurance Market Outlook, FY2018-FY2032F

• 5.1. Market Size Analysis & Forecast
  • 5.1.1. By Value
• 5.2. Market Share Analysis & Forecast
  • 5.2.1. By Deployment
    • 5.2.1.1. Cloud-based
    • 5.2.1.2. On-premises
  • 5.2.2. By Technology
    • 5.2.2.1. Machine Learning
    • 5.2.2.2. Natural Language Processing
  • 5.2.3. By Application
    • 5.2.3.1. Fraud Detection and Credit Analysis
    • 5.2.3.2. Customer Profiling and Segmentation
    • 5.2.3.3. Product and Policy Design
    • 5.2.3.4. Underwriting and Claims Assessment
    • 5.2.3.5. Chatbots
  • 5.2.4. By Region
    • 5.2.4.1. North
    • 5.2.4.2. East
    • 5.2.4.3. West and Central
    • 5.2.4.4. South
  • 5.2.5. By Company Market Share Analysis (Top 5 Companies and Others - By Value, FY2024)
• 5.3. Market Map Analysis, FY2024
  • 5.3.1. By Deployment
  • 5.3.2. By Technology
  • 5.3.3. By Application
  • 5.3.4. By Region

6. Demand Supply Analysis

7. Value Chain Analysis

8. Porter's Five Forces Analysis

9. PESTLE Analysis

10. Subscription Cost Analysis

11. Market Dynamics

• 11.1. Market Drivers
• 11.2. Market Challenges

12. Market Trends and Developments

13. Case Studies

14. Competitive Landscape

• 14.1. Competition Matrix of Top 5 Market Leaders
• 14.2. SWOT Analysis for Top 5 Players
• 14.3. Key Players Landscape for Top 5 Market Players
  • 14.3.1. Markovate Inc.
    • 14.3.1.1. Company Details
    • 14.3.1.2. Key Management Personnel
    • 14.3.1.3. Products and Services
    • 14.3.1.4. Financials (As Reported)
    • 14.3.1.5. Key Market Focus and Geographical Presence
    • 14.3.1.6. Recent Developments/Collaborations/Partnerships/Mergers and Acquisition
  • 14.3.2. Leewayhertz Technologies Private Limited
  • 14.3.3. Insurstaq Technologies Private Limited
  • 14.3.4. Simplifai Cognitive Services Private Limited
  • 14.3.5. Lithasa Technologies Private Limited

Companies mentioned above DO NOT hold any order as per market share and can be changed as per information available during research work.

15. Strategic Recommendations

16. About Us and Disclaimer