Generative AI in Insurance Market By Component, By Technology (Generative Adversarial Networks, Transformers, Variational Auto-encoders, Diffusion Networks, Others), By Application : Global Opportunity Analysis and Industry Forecast, 2023-2032

Description

List of Tables

According to a new report published by Allied Market Research, titled, "Generative AI in Insurance Market," The generative ai in insurance market was valued at $761.36 million in 2022, and is estimated to reach $14.4 billion by 2032, growing at a CAGR of 34.4% from 2023 to 2032.

Generative AI in Insurance Market - IMG1

One of the key drivers of generative AI in insurance market is faster claims processing. Generative AI speeds up the claims process and automates the data analysis process, highlighting any anomalies and ensuring genuine claims by quickly resolving them. Furthermore, generative AI redefines customer interactions with insurers through advanced chatbots and virtual assistants. These AI-powered assistants handle routine queries and engage in sophisticated conversations, understanding complex customer needs and offering personalized recommendations for policies and coverage options. Thus, responsive and efficient customer service is a key driver behind the rapid growth of the generative AI in insurance market. In addition, generative AI is used to simulate different risk scenarios based on historical data and calculate the premium accordingly. For instance, by learning from previous customer data, generative models produce simulations of potential future customer data and their potential risks. These simulations can be used to train predictive models to better estimate risk and set insurance premiums, which drives the adoption of generative AI in insurance industry. However, data quality and regulatory challenges have emerged as significant barriers to the growth of the generative AI in insurance market. Moreover, due to the required computational power, generative AI technology may be costly and difficult to implement. Enterprises are facing new challenges when integrating generative AI with their existing technical infrastructures. Thus, high implementation cost of generative AI hampers the growth of the generative AI in insurance market. On the contrary, risk modeling and underwriting advancements, and the adoption of explainable AI (XAI) for transparency are expected to offer lucrative growth opportunities to the generative AI in insurance market in the upcoming years.

The generative AI in insurance market is segmented into component, technology, application, and region. On the basis of component, the market is differentiated into solution and service. On the basis of technology, the market is segmented into generative adversarial networks (GANs), transformers, variational auto-encoders, diffusion networks, and others. By application, the market is divided into personalized insurance policies, automated underwriting, claims processing automation, fraud detection and prevention, virtual assistants and customer support, and others. Region-wise, the market is segmented into North America, Europe, Asia-Pacific, and LAMEA.

The key players operating in the generative AI in insurance market include DataRobot, Inc., Microsoft Corporation, Amazon Web Services, Inc., Avaamo, IBM Corporation, LeewayHertz, Persado, Inc., Aisera, Shift Technology, and AlphaChat. These players have adopted various strategies to increase their market penetration and strengthen their position in the generative AI in insurance industry.

Key Benefits for Stakeholders

The study provides in-depth analysis of the generative AI in insurance market along with current trends and future estimations to illustrate the imminent investment pockets.
Information about key drivers, restrains, & opportunities and their impact analysis on the Generative AI in insurance market size are provided in the report.
The Porter's five forces analysis illustrates the potency of buyers and suppliers operating in the industry.
The quantitative analysis of the generative AI in insurance market from 2022 to 2032 is provided to determine the market potential.

Additional benefits you will get with this purchase are:

Quarterly Update and* (only available with a corporate license, on listed price)
5 additional Company Profile of client Choice pre- or Post-purchase, as a free update.
Free Upcoming Version on the Purchase of Five and Enterprise User License.
16 analyst hours of support* (post-purchase, if you find additional data requirements upon review of the report, you may receive support amounting to 16 analyst hours to solve questions, and post-sale queries)
15% Free Customization* (in case the scope or segment of the report does not match your requirements, 15% is equivalent to 3 working days of free work, applicable once)
Free data Pack on the Five and Enterprise User License. (Excel version of the report)
Free Updated report if the report is 6-12 months old or older.
24-hour priority response*
Free Industry updates and white papers.

Possible Customization with this report (with additional cost and timeline, please talk to the sales executive to know more)

Investment Opportunities
Market share analysis of players by products/segments
Regulatory Guidelines
Additional company profiles with specific to client's interest
Additional country or region analysis- market size and forecast
Expanded list for Company Profiles
Market share analysis of players at global/region/country level

Key Market Segments

By Component

Solution
Service

By Technology

Generative Adversarial Networks (GANs)
Transformers
Variational Auto-encoders
Diffusion Networks
Others

By Application

Personalized Insurance Policies
Automated Underwriting
Claims Processing Automation
Fraud Detection and Prevention
Virtual Assistants and Customer Support
Others

By Region

North America
- U.S.
- Canada
Europe
- UK
- Germany
- France
- Italy
- Spain
- Rest of Europe
Asia-Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of Asia-Pacific
LAMEA
- Latin America
- Middle East
- Africa

Key Market Players:

IBM Corporation
Microsoft Corporation
DataRobot, Inc.
Amazon Web Services, Inc.
AlphaChat
Avaamo
LeewayHertz
Aisera
Shift Technology
Persado, Inc.

Product Code: A283347

CHAPTER 1: INTRODUCTION

1.1. Report description
1.2. Key market segments
1.3. Key benefits to the stakeholders
1.4. Research methodology
- 1.4.1. Primary research
- 1.4.2. Secondary research
- 1.4.3. Analyst tools and models

CHAPTER 2: EXECUTIVE SUMMARY

2.1. CXO Perspective

CHAPTER 3: MARKET OVERVIEW

3.1. Market definition and scope
3.2. Key findings
- 3.2.1. Top impacting factors
- 3.2.2. Top investment pockets
3.3. Porter's five forces analysis
- 3.3.1. Low bargaining power of suppliers
- 3.3.2. Low threat of new entrants
- 3.3.3. Low threat of substitutes
- 3.3.4. Low intensity of rivalry
- 3.3.5. Low bargaining power of buyers
3.4. Market dynamics
- 3.4.1. Drivers
  - 3.4.1.1. Faster claims processing through generative AI
  - 3.4.1.2. Responsive and efficient customer service
  - 3.4.1.3. Better risk assessment and premium determination
- 3.4.2. Restraints
  - 3.4.2.1. Data quality and regulatory challenges
  - 3.4.2.2. High implementation cost
- 3.4.3. Opportunities
  - 3.4.3.1. Risk modeling and underwriting advancements
  - 3.4.3.2. Adoption of explainable AI (XAI) for transparency

CHAPTER 4: GENERATIVE AI IN INSURANCE MARKET, BY COMPONENT

4.1. Overview
- 4.1.1. Market size and forecast
4.2. Solution
- 4.2.1. Key market trends, growth factors and opportunities
- 4.2.2. Market size and forecast, by region
- 4.2.3. Market share analysis by country
4.3. Service
- 4.3.1. Key market trends, growth factors and opportunities
- 4.3.2. Market size and forecast, by region
- 4.3.3. Market share analysis by country

CHAPTER 5: GENERATIVE AI IN INSURANCE MARKET, BY TECHNOLOGY

5.1. Overview
- 5.1.1. Market size and forecast
5.2. Generative Adversarial Networks (GANs)
- 5.2.1. Key market trends, growth factors and opportunities
- 5.2.2. Market size and forecast, by region
- 5.2.3. Market share analysis by country
5.3. Transformers
- 5.3.1. Key market trends, growth factors and opportunities
- 5.3.2. Market size and forecast, by region
- 5.3.3. Market share analysis by country
5.4. Variational Auto-encoders
- 5.4.1. Key market trends, growth factors and opportunities
- 5.4.2. Market size and forecast, by region
- 5.4.3. Market share analysis by country
5.5. Diffusion Networks
- 5.5.1. Key market trends, growth factors and opportunities
- 5.5.2. Market size and forecast, by region
- 5.5.3. Market share analysis by country
5.6. Others
- 5.6.1. Key market trends, growth factors and opportunities
- 5.6.2. Market size and forecast, by region
- 5.6.3. Market share analysis by country

CHAPTER 6: GENERATIVE AI IN INSURANCE MARKET, BY APPLICATION

6.1. Overview
- 6.1.1. Market size and forecast
6.2. Personalized Insurance Policies
- 6.2.1. Key market trends, growth factors and opportunities
- 6.2.2. Market size and forecast, by region
- 6.2.3. Market share analysis by country
6.3. Automated Underwriting
- 6.3.1. Key market trends, growth factors and opportunities
- 6.3.2. Market size and forecast, by region
- 6.3.3. Market share analysis by country
6.4. Claims Processing Automation
- 6.4.1. Key market trends, growth factors and opportunities
- 6.4.2. Market size and forecast, by region
- 6.4.3. Market share analysis by country
6.5. Fraud Detection and Prevention
- 6.5.1. Key market trends, growth factors and opportunities
- 6.5.2. Market size and forecast, by region
- 6.5.3. Market share analysis by country
6.6. Virtual Assistants and Customer Support
- 6.6.1. Key market trends, growth factors and opportunities
- 6.6.2. Market size and forecast, by region
- 6.6.3. Market share analysis by country
6.7. Others
- 6.7.1. Key market trends, growth factors and opportunities
- 6.7.2. Market size and forecast, by region
- 6.7.3. Market share analysis by country

CHAPTER 7: GENERATIVE AI IN INSURANCE MARKET, BY REGION

7.1. Overview
- 7.1.1. Market size and forecast By Region
7.2. North America
- 7.2.1. Key market trends, growth factors and opportunities
- 7.2.2. Market size and forecast, by Component
- 7.2.3. Market size and forecast, by Technology
- 7.2.4. Market size and forecast, by Application
- 7.2.5. Market size and forecast, by country
  - 7.2.5.1. U.S.
  - 7.2.5.1.1. Market size and forecast, by Component
  - 7.2.5.1.2. Market size and forecast, by Technology
  - 7.2.5.1.3. Market size and forecast, by Application
  - 7.2.5.2. Canada
  - 7.2.5.2.1. Market size and forecast, by Component
  - 7.2.5.2.2. Market size and forecast, by Technology
  - 7.2.5.2.3. Market size and forecast, by Application
7.3. Europe
- 7.3.1. Key market trends, growth factors and opportunities
- 7.3.2. Market size and forecast, by Component
- 7.3.3. Market size and forecast, by Technology
- 7.3.4. Market size and forecast, by Application
- 7.3.5. Market size and forecast, by country
  - 7.3.5.1. UK
  - 7.3.5.1.1. Market size and forecast, by Component
  - 7.3.5.1.2. Market size and forecast, by Technology
  - 7.3.5.1.3. Market size and forecast, by Application
  - 7.3.5.2. Germany
  - 7.3.5.2.1. Market size and forecast, by Component
  - 7.3.5.2.2. Market size and forecast, by Technology
  - 7.3.5.2.3. Market size and forecast, by Application
  - 7.3.5.3. France
  - 7.3.5.3.1. Market size and forecast, by Component
  - 7.3.5.3.2. Market size and forecast, by Technology
  - 7.3.5.3.3. Market size and forecast, by Application
  - 7.3.5.4. Italy
  - 7.3.5.4.1. Market size and forecast, by Component
  - 7.3.5.4.2. Market size and forecast, by Technology
  - 7.3.5.4.3. Market size and forecast, by Application
  - 7.3.5.5. Spain
  - 7.3.5.5.1. Market size and forecast, by Component
  - 7.3.5.5.2. Market size and forecast, by Technology
  - 7.3.5.5.3. Market size and forecast, by Application
  - 7.3.5.6. Rest of Europe
  - 7.3.5.6.1. Market size and forecast, by Component
  - 7.3.5.6.2. Market size and forecast, by Technology
  - 7.3.5.6.3. Market size and forecast, by Application
7.4. Asia-Pacific
- 7.4.1. Key market trends, growth factors and opportunities
- 7.4.2. Market size and forecast, by Component
- 7.4.3. Market size and forecast, by Technology
- 7.4.4. Market size and forecast, by Application
- 7.4.5. Market size and forecast, by country
  - 7.4.5.1. China
  - 7.4.5.1.1. Market size and forecast, by Component
  - 7.4.5.1.2. Market size and forecast, by Technology
  - 7.4.5.1.3. Market size and forecast, by Application
  - 7.4.5.2. Japan
  - 7.4.5.2.1. Market size and forecast, by Component
  - 7.4.5.2.2. Market size and forecast, by Technology
  - 7.4.5.2.3. Market size and forecast, by Application
  - 7.4.5.3. India
  - 7.4.5.3.1. Market size and forecast, by Component
  - 7.4.5.3.2. Market size and forecast, by Technology
  - 7.4.5.3.3. Market size and forecast, by Application
  - 7.4.5.4. Australia
  - 7.4.5.4.1. Market size and forecast, by Component
  - 7.4.5.4.2. Market size and forecast, by Technology
  - 7.4.5.4.3. Market size and forecast, by Application
  - 7.4.5.5. South Korea
  - 7.4.5.5.1. Market size and forecast, by Component
  - 7.4.5.5.2. Market size and forecast, by Technology
  - 7.4.5.5.3. Market size and forecast, by Application
  - 7.4.5.6. Rest of Asia-Pacific
  - 7.4.5.6.1. Market size and forecast, by Component
  - 7.4.5.6.2. Market size and forecast, by Technology
  - 7.4.5.6.3. Market size and forecast, by Application
7.5. LAMEA
- 7.5.1. Key market trends, growth factors and opportunities
- 7.5.2. Market size and forecast, by Component
- 7.5.3. Market size and forecast, by Technology
- 7.5.4. Market size and forecast, by Application
- 7.5.5. Market size and forecast, by country
  - 7.5.5.1. Latin America
  - 7.5.5.1.1. Market size and forecast, by Component
  - 7.5.5.1.2. Market size and forecast, by Technology
  - 7.5.5.1.3. Market size and forecast, by Application
  - 7.5.5.2. Middle East
  - 7.5.5.2.1. Market size and forecast, by Component
  - 7.5.5.2.2. Market size and forecast, by Technology
  - 7.5.5.2.3. Market size and forecast, by Application
  - 7.5.5.3. Africa
  - 7.5.5.3.1. Market size and forecast, by Component
  - 7.5.5.3.2. Market size and forecast, by Technology
  - 7.5.5.3.3. Market size and forecast, by Application

CHAPTER 8: COMPETITIVE LANDSCAPE

8.1. Introduction
8.2. Top winning strategies
8.3. Product mapping of top 10 player
8.4. Competitive dashboard
8.5. Competitive heatmap
8.6. Top player positioning, 2022

CHAPTER 9: COMPANY PROFILES

9.1. DataRobot, Inc.
- 9.1.1. Company overview
- 9.1.2. Key executives
- 9.1.3. Company snapshot
- 9.1.4. Operating business segments
- 9.1.5. Product portfolio
9.2. Amazon Web Services, Inc.
- 9.2.1. Company overview
- 9.2.2. Key executives
- 9.2.3. Company snapshot
- 9.2.4. Operating business segments
- 9.2.5. Product portfolio
- 9.2.6. Business performance
9.3. Avaamo
- 9.3.1. Company overview
- 9.3.2. Key executives
- 9.3.3. Company snapshot
- 9.3.4. Operating business segments
- 9.3.5. Product portfolio
- 9.3.6. Key strategic moves and developments
9.4. IBM Corporation
- 9.4.1. Company overview
- 9.4.2. Key executives
- 9.4.3. Company snapshot
- 9.4.4. Operating business segments
- 9.4.5. Product portfolio
- 9.4.6. Business performance
- 9.4.7. Key strategic moves and developments
9.5. Microsoft Corporation
- 9.5.1. Company overview
- 9.5.2. Key executives
- 9.5.3. Company snapshot
- 9.5.4. Operating business segments
- 9.5.5. Product portfolio
- 9.5.6. Business performance
- 9.5.7. Key strategic moves and developments
9.6. LeewayHertz
- 9.6.1. Company overview
- 9.6.2. Key executives
- 9.6.3. Company snapshot
- 9.6.4. Operating business segments
- 9.6.5. Product portfolio
9.7. Persado, Inc.
- 9.7.1. Company overview
- 9.7.2. Key executives
- 9.7.3. Company snapshot
- 9.7.4. Operating business segments
- 9.7.5. Product portfolio
9.8. Aisera
- 9.8.1. Company overview
- 9.8.2. Key executives
- 9.8.3. Company snapshot
- 9.8.4. Operating business segments
- 9.8.5. Product portfolio
9.9. Shift Technology
- 9.9.1. Company overview
- 9.9.2. Key executives
- 9.9.3. Company snapshot
- 9.9.4. Operating business segments
- 9.9.5. Product portfolio
- 9.9.6. Key strategic moves and developments
9.10. AlphaChat
- 9.10.1. Company overview
- 9.10.2. Key executives
- 9.10.3. Company snapshot
- 9.10.4. Operating business segments
- 9.10.5. Product portfolio
- 9.10.6. Business performance
- 9.10.7. Key strategic moves and developments