
AI in Insurance Market By Offering (Hardware, Software, Service), By Deployment Model (On-premise, Cloud), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Others), By Enterprise Size (Large Enterprises, SMEs), By End-user (L
Description
AI in Insurance Market By Offering (Hardware, Software, Service), By Deployment Model (On-premise, Cloud), By Technology (Machine Learning, Natural Language Processing, Computer Vision, Others), By Enterprise Size (Large Enterprises, SMEs), By End-user (Life and Health Insurance, Property and Casualty Insurance), By Application (Fraud Detection and Credit Analysis, Customer Profiling and Segmentation, Product and Policy Design, Underwriting and Claims Assessment): Global Opportunity Analysis and Industry Forecast, 2021-2031
AI in insurance is the combination of network operations and business operations segments into one integrated platform that provides necessary agility to create innovative and personalized customer experience. In addition, it makes automated claims processing and claims estimates more quickly and accurately. Furthermore, many Insurtech are using AI capabilities to create a new range of innovative products, such as instantly customizable life insurance and on-demand property coverage. Moreover, AI in insurance helps insurers from risk, detects fraud, and reduces human error in the application process.
Increase in investment by insurance companies in AI & machine learning and rise in preference for personalized insurance services boost the growth of the global AI in insurance market. In addition, increase in collaboration between insurance companies and AI & machine learning solution company positively impact growth of the market. However, higher deployment cost of AI, advanced machine learning, and lack of skilled labor hamper the market growth. On the contrary, increase in government initiatives and rise in investments to leverage the AI technology are expected to offer remunerative opportunities for expansion of the market during the forecast period.
The AI in insurance market is segmented on the basis of offering, deployment model, technology, enterprise size, end users, application, and region. On the basis of offering, the market is categorized into hardware, software, and service. On the basis of deployment model, the market is bifurcated into on-premise and cloud. By technology, it is classified into machine learning, natural language processing, computer vision, and others. On the basis of enterprise size, the market is classified into large enterprise and SMEs. On the basis of end user, it is classified into life & health Insurance and property & casualty insurance. On the basis of application, the market is classified into fraud detection & credit analysis, customer profiling & segmentation, product & policy design, and underwriting & claims assessment. By region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players that operate in the AI in insurance market are Applied Systems, Cape Analytics, IBM Corporation, Microsoft Corporation, OpenText Corporation, Oracle Corporation, Pegasystems Inc, Quantemplate, Salesforce, Inc, SAP SE, SAS Institute Inc, Shift Technology, SimpleFinance, Slice Insurance Technologies, Vertafore, Inc, Zego, and Zurich Insurance Group Ltd. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
Key Benefits For Stakeholders
This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai in insurance market analysis from 2021 to 2031 to identify the prevailing ai in insurance market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the ai in insurance market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global ai in insurance market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Offering
Hardware
Software
Service
By Deployment Model
On-premise
Cloud
By Technology
Machine Learning
Natural Language Processing
Computer Vision
Others
By Enterprise Size
Large Enterprises
SMEs
By End-user
Life and Health Insurance
Property and Casualty Insurance
By Application
Fraud Detection and Credit Analysis
Customer Profiling and Segmentation
Product and Policy Design
Underwriting and Claims Assessment
By Region
North America
U.S.
Canada
Europe
United Kingdom
Germany
France
Italy
Spain
Netherlands
Rest of Europe
Asia-Pacific
China
India
Japan
South Korea
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
Applied Systems
IBM Corporation
Microsoft Corporation
OpenText Corporation
Oracle Corporation
Pegasystems Inc.
Quantemplate
Salesforce, Inc.
SAP SE
SAS Institute Inc.
Shift Technology
SimpleFinance
Slice Insurance Technologies
Vertafore, Inc.
Zego
Please Note: It will take 7-10 business days to complete the report upon order confirmation.
AI in insurance is the combination of network operations and business operations segments into one integrated platform that provides necessary agility to create innovative and personalized customer experience. In addition, it makes automated claims processing and claims estimates more quickly and accurately. Furthermore, many Insurtech are using AI capabilities to create a new range of innovative products, such as instantly customizable life insurance and on-demand property coverage. Moreover, AI in insurance helps insurers from risk, detects fraud, and reduces human error in the application process.
Increase in investment by insurance companies in AI & machine learning and rise in preference for personalized insurance services boost the growth of the global AI in insurance market. In addition, increase in collaboration between insurance companies and AI & machine learning solution company positively impact growth of the market. However, higher deployment cost of AI, advanced machine learning, and lack of skilled labor hamper the market growth. On the contrary, increase in government initiatives and rise in investments to leverage the AI technology are expected to offer remunerative opportunities for expansion of the market during the forecast period.
The AI in insurance market is segmented on the basis of offering, deployment model, technology, enterprise size, end users, application, and region. On the basis of offering, the market is categorized into hardware, software, and service. On the basis of deployment model, the market is bifurcated into on-premise and cloud. By technology, it is classified into machine learning, natural language processing, computer vision, and others. On the basis of enterprise size, the market is classified into large enterprise and SMEs. On the basis of end user, it is classified into life & health Insurance and property & casualty insurance. On the basis of application, the market is classified into fraud detection & credit analysis, customer profiling & segmentation, product & policy design, and underwriting & claims assessment. By region, the market is analyzed across North America, Europe, Asia-Pacific, and LAMEA.
The key players that operate in the AI in insurance market are Applied Systems, Cape Analytics, IBM Corporation, Microsoft Corporation, OpenText Corporation, Oracle Corporation, Pegasystems Inc, Quantemplate, Salesforce, Inc, SAP SE, SAS Institute Inc, Shift Technology, SimpleFinance, Slice Insurance Technologies, Vertafore, Inc, Zego, and Zurich Insurance Group Ltd. These players have adopted various strategies to increase their market penetration and strengthen their position in the industry.
Key Benefits For Stakeholders
This report provides a quantitative analysis of the market segments, current trends, estimations, and dynamics of the ai in insurance market analysis from 2021 to 2031 to identify the prevailing ai in insurance market opportunities.
The market research is offered along with information related to key drivers, restraints, and opportunities.
Porter's five forces analysis highlights the potency of buyers and suppliers to enable stakeholders make profit-oriented business decisions and strengthen their supplier-buyer network.
In-depth analysis of the ai in insurance market segmentation assists to determine the prevailing market opportunities.
Major countries in each region are mapped according to their revenue contribution to the global market.
Market player positioning facilitates benchmarking and provides a clear understanding of the present position of the market players.
The report includes the analysis of the regional as well as global ai in insurance market trends, key players, market segments, application areas, and market growth strategies.
Key Market Segments
By Offering
Hardware
Software
Service
By Deployment Model
On-premise
Cloud
By Technology
Machine Learning
Natural Language Processing
Computer Vision
Others
By Enterprise Size
Large Enterprises
SMEs
By End-user
Life and Health Insurance
Property and Casualty Insurance
By Application
Fraud Detection and Credit Analysis
Customer Profiling and Segmentation
Product and Policy Design
Underwriting and Claims Assessment
By Region
North America
U.S.
Canada
Europe
United Kingdom
Germany
France
Italy
Spain
Netherlands
Rest of Europe
Asia-Pacific
China
India
Japan
South Korea
Australia
Rest of Asia-Pacific
LAMEA
Latin America
Middle East
Africa
Key Market Players
Applied Systems
IBM Corporation
Microsoft Corporation
OpenText Corporation
Oracle Corporation
Pegasystems Inc.
Quantemplate
Salesforce, Inc.
SAP SE
SAS Institute Inc.
Shift Technology
SimpleFinance
Slice Insurance Technologies
Vertafore, Inc.
Zego
Please Note: It will take 7-10 business days to complete the report upon order confirmation.
Table of Contents
350 Pages
- 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.Secondary research
- 1.4.2.Primary research
- 1.4.3.Analyst tools and models
- CHAPTER 2:EXECUTIVE SUMMARY
- 2.1.Key findings of the study
- 2.2.CXO Perspective
- CHAPTER 3:MARKET OVERVIEW
- 3.1.Market definition and scope
- 3.2.Key findings
- 3.2.1.Top investment pockets
- 3.3.Porter’s five forces analysis
- 3.4.Top player positioning
- 3.5.Market dynamics
- 3.5.1.Drivers
- 3.5.2.Restraints
- 3.5.3.Opportunities
- 3.6.COVID-19 Impact Analysis on the market
- CHAPTER 4: AI IN INSURANCE MARKET, BY OFFERING
- 4.1 Overview
- 4.1.1 Market size and forecast
- 4.2 Hardware
- 4.2.1 Key market trends, growth factors and opportunities
- 4.2.2 Market size and forecast, by region
- 4.2.3 Market analysis by country
- 4.3 Software
- 4.3.1 Key market trends, growth factors and opportunities
- 4.3.2 Market size and forecast, by region
- 4.3.3 Market analysis by country
- 4.4 Service
- 4.4.1 Key market trends, growth factors and opportunities
- 4.4.2 Market size and forecast, by region
- 4.4.3 Market analysis by country
- CHAPTER 5: AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL
- 5.1 Overview
- 5.1.1 Market size and forecast
- 5.2 On-premise
- 5.2.1 Key market trends, growth factors and opportunities
- 5.2.2 Market size and forecast, by region
- 5.2.3 Market analysis by country
- 5.3 Cloud
- 5.3.1 Key market trends, growth factors and opportunities
- 5.3.2 Market size and forecast, by region
- 5.3.3 Market analysis by country
- CHAPTER 6: AI IN INSURANCE MARKET, BY TECHNOLOGY
- 6.1 Overview
- 6.1.1 Market size and forecast
- 6.2 Machine Learning
- 6.2.1 Key market trends, growth factors and opportunities
- 6.2.2 Market size and forecast, by region
- 6.2.3 Market analysis by country
- 6.3 Natural Language Processing
- 6.3.1 Key market trends, growth factors and opportunities
- 6.3.2 Market size and forecast, by region
- 6.3.3 Market analysis by country
- 6.4 Computer Vision
- 6.4.1 Key market trends, growth factors and opportunities
- 6.4.2 Market size and forecast, by region
- 6.4.3 Market analysis by country
- 6.5 Others
- 6.5.1 Key market trends, growth factors and opportunities
- 6.5.2 Market size and forecast, by region
- 6.5.3 Market analysis by country
- CHAPTER 7: AI IN INSURANCE MARKET, BY ENTERPRISE SIZE
- 7.1 Overview
- 7.1.1 Market size and forecast
- 7.2 Large Enterprises
- 7.2.1 Key market trends, growth factors and opportunities
- 7.2.2 Market size and forecast, by region
- 7.2.3 Market analysis by country
- 7.3 SMEs
- 7.3.1 Key market trends, growth factors and opportunities
- 7.3.2 Market size and forecast, by region
- 7.3.3 Market analysis by country
- CHAPTER 8: AI IN INSURANCE MARKET, BY END-USER
- 8.1 Overview
- 8.1.1 Market size and forecast
- 8.2 Life and Health Insurance
- 8.2.1 Key market trends, growth factors and opportunities
- 8.2.2 Market size and forecast, by region
- 8.2.3 Market analysis by country
- 8.3 Property and Casualty Insurance
- 8.3.1 Key market trends, growth factors and opportunities
- 8.3.2 Market size and forecast, by region
- 8.3.3 Market analysis by country
- CHAPTER 9: AI IN INSURANCE MARKET, BY APPLICATION
- 9.1 Overview
- 9.1.1 Market size and forecast
- 9.2 Fraud Detection and Credit Analysis
- 9.2.1 Key market trends, growth factors and opportunities
- 9.2.2 Market size and forecast, by region
- 9.2.3 Market analysis by country
- 9.3 Customer Profiling and Segmentation
- 9.3.1 Key market trends, growth factors and opportunities
- 9.3.2 Market size and forecast, by region
- 9.3.3 Market analysis by country
- 9.4 Product and Policy Design
- 9.4.1 Key market trends, growth factors and opportunities
- 9.4.2 Market size and forecast, by region
- 9.4.3 Market analysis by country
- 9.5 Underwriting and Claims Assessment
- 9.5.1 Key market trends, growth factors and opportunities
- 9.5.2 Market size and forecast, by region
- 9.5.3 Market analysis by country
- CHAPTER 10: AI IN INSURANCE MARKET, BY REGION
- 10.1 Overview
- 10.1.1 Market size and forecast
- 10.2 North America
- 10.2.1 Key trends and opportunities
- 10.2.2 North America Market size and forecast, by Offering
- 10.2.3 North America Market size and forecast, by Deployment Model
- 10.2.4 North America Market size and forecast, by Technology
- 10.2.5 North America Market size and forecast, by Enterprise Size
- 10.2.6 North America Market size and forecast, by End-user
- 10.2.7 North America Market size and forecast, by Application
- 10.2.8 North America Market size and forecast, by country
- 10.2.8.1 U.S.
- 10.2.8.1.1 Market size and forecast, by Offering
- 10.2.8.1.2 Market size and forecast, by Deployment Model
- 10.2.8.1.3 Market size and forecast, by Technology
- 10.2.8.1.4 Market size and forecast, by Enterprise Size
- 10.2.8.1.5 Market size and forecast, by End-user
- 10.2.8.1.6 Market size and forecast, by Application
- 10.2.8.2 Canada
- 10.2.8.2.1 Market size and forecast, by Offering
- 10.2.8.2.2 Market size and forecast, by Deployment Model
- 10.2.8.2.3 Market size and forecast, by Technology
- 10.2.8.2.4 Market size and forecast, by Enterprise Size
- 10.2.8.2.5 Market size and forecast, by End-user
- 10.2.8.2.6 Market size and forecast, by Application
- 10.3 Europe
- 10.3.1 Key trends and opportunities
- 10.3.2 Europe Market size and forecast, by Offering
- 10.3.3 Europe Market size and forecast, by Deployment Model
- 10.3.4 Europe Market size and forecast, by Technology
- 10.3.5 Europe Market size and forecast, by Enterprise Size
- 10.3.6 Europe Market size and forecast, by End-user
- 10.3.7 Europe Market size and forecast, by Application
- 10.3.8 Europe Market size and forecast, by country
- 10.3.8.1 United Kingdom
- 10.3.8.1.1 Market size and forecast, by Offering
- 10.3.8.1.2 Market size and forecast, by Deployment Model
- 10.3.8.1.3 Market size and forecast, by Technology
- 10.3.8.1.4 Market size and forecast, by Enterprise Size
- 10.3.8.1.5 Market size and forecast, by End-user
- 10.3.8.1.6 Market size and forecast, by Application
- 10.3.8.2 Germany
- 10.3.8.2.1 Market size and forecast, by Offering
- 10.3.8.2.2 Market size and forecast, by Deployment Model
- 10.3.8.2.3 Market size and forecast, by Technology
- 10.3.8.2.4 Market size and forecast, by Enterprise Size
- 10.3.8.2.5 Market size and forecast, by End-user
- 10.3.8.2.6 Market size and forecast, by Application
- 10.3.8.3 France
- 10.3.8.3.1 Market size and forecast, by Offering
- 10.3.8.3.2 Market size and forecast, by Deployment Model
- 10.3.8.3.3 Market size and forecast, by Technology
- 10.3.8.3.4 Market size and forecast, by Enterprise Size
- 10.3.8.3.5 Market size and forecast, by End-user
- 10.3.8.3.6 Market size and forecast, by Application
- 10.3.8.4 Italy
- 10.3.8.4.1 Market size and forecast, by Offering
- 10.3.8.4.2 Market size and forecast, by Deployment Model
- 10.3.8.4.3 Market size and forecast, by Technology
- 10.3.8.4.4 Market size and forecast, by Enterprise Size
- 10.3.8.4.5 Market size and forecast, by End-user
- 10.3.8.4.6 Market size and forecast, by Application
- 10.3.8.5 Spain
- 10.3.8.5.1 Market size and forecast, by Offering
- 10.3.8.5.2 Market size and forecast, by Deployment Model
- 10.3.8.5.3 Market size and forecast, by Technology
- 10.3.8.5.4 Market size and forecast, by Enterprise Size
- 10.3.8.5.5 Market size and forecast, by End-user
- 10.3.8.5.6 Market size and forecast, by Application
- 10.3.8.6 Netherlands
- 10.3.8.6.1 Market size and forecast, by Offering
- 10.3.8.6.2 Market size and forecast, by Deployment Model
- 10.3.8.6.3 Market size and forecast, by Technology
- 10.3.8.6.4 Market size and forecast, by Enterprise Size
- 10.3.8.6.5 Market size and forecast, by End-user
- 10.3.8.6.6 Market size and forecast, by Application
- 10.3.8.7 Rest of Europe
- 10.3.8.7.1 Market size and forecast, by Offering
- 10.3.8.7.2 Market size and forecast, by Deployment Model
- 10.3.8.7.3 Market size and forecast, by Technology
- 10.3.8.7.4 Market size and forecast, by Enterprise Size
- 10.3.8.7.5 Market size and forecast, by End-user
- 10.3.8.7.6 Market size and forecast, by Application
- 10.4 Asia-Pacific
- 10.4.1 Key trends and opportunities
- 10.4.2 Asia-Pacific Market size and forecast, by Offering
- 10.4.3 Asia-Pacific Market size and forecast, by Deployment Model
- 10.4.4 Asia-Pacific Market size and forecast, by Technology
- 10.4.5 Asia-Pacific Market size and forecast, by Enterprise Size
- 10.4.6 Asia-Pacific Market size and forecast, by End-user
- 10.4.7 Asia-Pacific Market size and forecast, by Application
- 10.4.8 Asia-Pacific Market size and forecast, by country
- 10.4.8.1 China
- 10.4.8.1.1 Market size and forecast, by Offering
- 10.4.8.1.2 Market size and forecast, by Deployment Model
- 10.4.8.1.3 Market size and forecast, by Technology
- 10.4.8.1.4 Market size and forecast, by Enterprise Size
- 10.4.8.1.5 Market size and forecast, by End-user
- 10.4.8.1.6 Market size and forecast, by Application
- 10.4.8.2 India
- 10.4.8.2.1 Market size and forecast, by Offering
- 10.4.8.2.2 Market size and forecast, by Deployment Model
- 10.4.8.2.3 Market size and forecast, by Technology
- 10.4.8.2.4 Market size and forecast, by Enterprise Size
- 10.4.8.2.5 Market size and forecast, by End-user
- 10.4.8.2.6 Market size and forecast, by Application
- 10.4.8.3 Japan
- 10.4.8.3.1 Market size and forecast, by Offering
- 10.4.8.3.2 Market size and forecast, by Deployment Model
- 10.4.8.3.3 Market size and forecast, by Technology
- 10.4.8.3.4 Market size and forecast, by Enterprise Size
- 10.4.8.3.5 Market size and forecast, by End-user
- 10.4.8.3.6 Market size and forecast, by Application
- 10.4.8.4 South Korea
- 10.4.8.4.1 Market size and forecast, by Offering
- 10.4.8.4.2 Market size and forecast, by Deployment Model
- 10.4.8.4.3 Market size and forecast, by Technology
- 10.4.8.4.4 Market size and forecast, by Enterprise Size
- 10.4.8.4.5 Market size and forecast, by End-user
- 10.4.8.4.6 Market size and forecast, by Application
- 10.4.8.5 Australia
- 10.4.8.5.1 Market size and forecast, by Offering
- 10.4.8.5.2 Market size and forecast, by Deployment Model
- 10.4.8.5.3 Market size and forecast, by Technology
- 10.4.8.5.4 Market size and forecast, by Enterprise Size
- 10.4.8.5.5 Market size and forecast, by End-user
- 10.4.8.5.6 Market size and forecast, by Application
- 10.4.8.6 Rest of Asia-Pacific
- 10.4.8.6.1 Market size and forecast, by Offering
- 10.4.8.6.2 Market size and forecast, by Deployment Model
- 10.4.8.6.3 Market size and forecast, by Technology
- 10.4.8.6.4 Market size and forecast, by Enterprise Size
- 10.4.8.6.5 Market size and forecast, by End-user
- 10.4.8.6.6 Market size and forecast, by Application
- 10.5 LAMEA
- 10.5.1 Key trends and opportunities
- 10.5.2 LAMEA Market size and forecast, by Offering
- 10.5.3 LAMEA Market size and forecast, by Deployment Model
- 10.5.4 LAMEA Market size and forecast, by Technology
- 10.5.5 LAMEA Market size and forecast, by Enterprise Size
- 10.5.6 LAMEA Market size and forecast, by End-user
- 10.5.7 LAMEA Market size and forecast, by Application
- 10.5.8 LAMEA Market size and forecast, by country
- 10.5.8.1 Latin America
- 10.5.8.1.1 Market size and forecast, by Offering
- 10.5.8.1.2 Market size and forecast, by Deployment Model
- 10.5.8.1.3 Market size and forecast, by Technology
- 10.5.8.1.4 Market size and forecast, by Enterprise Size
- 10.5.8.1.5 Market size and forecast, by End-user
- 10.5.8.1.6 Market size and forecast, by Application
- 10.5.8.2 Middle East
- 10.5.8.2.1 Market size and forecast, by Offering
- 10.5.8.2.2 Market size and forecast, by Deployment Model
- 10.5.8.2.3 Market size and forecast, by Technology
- 10.5.8.2.4 Market size and forecast, by Enterprise Size
- 10.5.8.2.5 Market size and forecast, by End-user
- 10.5.8.2.6 Market size and forecast, by Application
- 10.5.8.3 Africa
- 10.5.8.3.1 Market size and forecast, by Offering
- 10.5.8.3.2 Market size and forecast, by Deployment Model
- 10.5.8.3.3 Market size and forecast, by Technology
- 10.5.8.3.4 Market size and forecast, by Enterprise Size
- 10.5.8.3.5 Market size and forecast, by End-user
- 10.5.8.3.6 Market size and forecast, by Application
- CHAPTER 11: COMPANY LANDSCAPE
- 11.1. Introduction
- 11.2. Top winning strategies
- 11.3. Product Mapping of Top 10 Player
- 11.4. Competitive Dashboard
- 11.5. Competitive Heatmap
- 11.6. Key developments
- CHAPTER 12: COMPANY PROFILES
- 12.1 Applied Systems
- 12.1.1 Company overview
- 12.1.2 Company snapshot
- 12.1.3 Operating business segments
- 12.1.4 Product portfolio
- 12.1.5 Business performance
- 12.1.6 Key strategic moves and developments
- 12.2 IBM Corporation
- 12.2.1 Company overview
- 12.2.2 Company snapshot
- 12.2.3 Operating business segments
- 12.2.4 Product portfolio
- 12.2.5 Business performance
- 12.2.6 Key strategic moves and developments
- 12.3 Microsoft Corporation
- 12.3.1 Company overview
- 12.3.2 Company snapshot
- 12.3.3 Operating business segments
- 12.3.4 Product portfolio
- 12.3.5 Business performance
- 12.3.6 Key strategic moves and developments
- 12.4 OpenText Corporation
- 12.4.1 Company overview
- 12.4.2 Company snapshot
- 12.4.3 Operating business segments
- 12.4.4 Product portfolio
- 12.4.5 Business performance
- 12.4.6 Key strategic moves and developments
- 12.5 Oracle Corporation
- 12.5.1 Company overview
- 12.5.2 Company snapshot
- 12.5.3 Operating business segments
- 12.5.4 Product portfolio
- 12.5.5 Business performance
- 12.5.6 Key strategic moves and developments
- 12.6 Pegasystems Inc.
- 12.6.1 Company overview
- 12.6.2 Company snapshot
- 12.6.3 Operating business segments
- 12.6.4 Product portfolio
- 12.6.5 Business performance
- 12.6.6 Key strategic moves and developments
- 12.7 Quantemplate
- 12.7.1 Company overview
- 12.7.2 Company snapshot
- 12.7.3 Operating business segments
- 12.7.4 Product portfolio
- 12.7.5 Business performance
- 12.7.6 Key strategic moves and developments
- 12.8 Salesforce, Inc.
- 12.8.1 Company overview
- 12.8.2 Company snapshot
- 12.8.3 Operating business segments
- 12.8.4 Product portfolio
- 12.8.5 Business performance
- 12.8.6 Key strategic moves and developments
- 12.9 SAP SE
- 12.9.1 Company overview
- 12.9.2 Company snapshot
- 12.9.3 Operating business segments
- 12.9.4 Product portfolio
- 12.9.5 Business performance
- 12.9.6 Key strategic moves and developments
- 12.10 SAS Institute Inc.
- 12.10.1 Company overview
- 12.10.2 Company snapshot
- 12.10.3 Operating business segments
- 12.10.4 Product portfolio
- 12.10.5 Business performance
- 12.10.6 Key strategic moves and developments
- 12.11 Shift Technology
- 12.11.1 Company overview
- 12.11.2 Company snapshot
- 12.11.3 Operating business segments
- 12.11.4 Product portfolio
- 12.11.5 Business performance
- 12.11.6 Key strategic moves and developments
- 12.12 SimpleFinance
- 12.12.1 Company overview
- 12.12.2 Company snapshot
- 12.12.3 Operating business segments
- 12.12.4 Product portfolio
- 12.12.5 Business performance
- 12.12.6 Key strategic moves and developments
- 12.13 Slice Insurance Technologies
- 12.13.1 Company overview
- 12.13.2 Company snapshot
- 12.13.3 Operating business segments
- 12.13.4 Product portfolio
- 12.13.5 Business performance
- 12.13.6 Key strategic moves and developments
- 12.14 Vertafore, Inc.
- 12.14.1 Company overview
- 12.14.2 Company snapshot
- 12.14.3 Operating business segments
- 12.14.4 Product portfolio
- 12.14.5 Business performance
- 12.14.6 Key strategic moves and developments
- 12.15 Zego
- 12.15.1 Company overview
- 12.15.2 Company snapshot
- 12.15.3 Operating business segments
- 12.15.4 Product portfolio
- 12.15.5 Business performance
- 12.15.6 Key strategic moves and developments
- LIST OF TABLES
- TABLE 1. GLOBAL AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 2. AI IN INSURANCE MARKET SIZE, FOR HARDWARE, BY REGION, 2021-2031 ($MILLION)
- TABLE 3. AI IN INSURANCE MARKET FOR HARDWARE BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 4. AI IN INSURANCE MARKET SIZE, FOR SOFTWARE, BY REGION, 2021-2031 ($MILLION)
- TABLE 5. AI IN INSURANCE MARKET FOR SOFTWARE BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 6. AI IN INSURANCE MARKET SIZE, FOR SERVICE, BY REGION, 2021-2031 ($MILLION)
- TABLE 7. AI IN INSURANCE MARKET FOR SERVICE BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 8. GLOBAL AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 9. AI IN INSURANCE MARKET SIZE, FOR ON-PREMISE, BY REGION, 2021-2031 ($MILLION)
- TABLE 10. AI IN INSURANCE MARKET FOR ON-PREMISE BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 11. AI IN INSURANCE MARKET SIZE, FOR CLOUD, BY REGION, 2021-2031 ($MILLION)
- TABLE 12. AI IN INSURANCE MARKET FOR CLOUD BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 13. GLOBAL AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 14. AI IN INSURANCE MARKET SIZE, FOR MACHINE LEARNING, BY REGION, 2021-2031 ($MILLION)
- TABLE 15. AI IN INSURANCE MARKET FOR MACHINE LEARNING BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 16. AI IN INSURANCE MARKET SIZE, FOR NATURAL LANGUAGE PROCESSING, BY REGION, 2021-2031 ($MILLION)
- TABLE 17. AI IN INSURANCE MARKET FOR NATURAL LANGUAGE PROCESSING BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 18. AI IN INSURANCE MARKET SIZE, FOR COMPUTER VISION, BY REGION, 2021-2031 ($MILLION)
- TABLE 19. AI IN INSURANCE MARKET FOR COMPUTER VISION BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 20. AI IN INSURANCE MARKET SIZE, FOR OTHERS, BY REGION, 2021-2031 ($MILLION)
- TABLE 21. AI IN INSURANCE MARKET FOR OTHERS BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 22. GLOBAL AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 23. AI IN INSURANCE MARKET SIZE, FOR LARGE ENTERPRISES, BY REGION, 2021-2031 ($MILLION)
- TABLE 24. AI IN INSURANCE MARKET FOR LARGE ENTERPRISES BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 25. AI IN INSURANCE MARKET SIZE, FOR SMES, BY REGION, 2021-2031 ($MILLION)
- TABLE 26. AI IN INSURANCE MARKET FOR SMES BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 27. GLOBAL AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 28. AI IN INSURANCE MARKET SIZE, FOR LIFE AND HEALTH INSURANCE, BY REGION, 2021-2031 ($MILLION)
- TABLE 29. AI IN INSURANCE MARKET FOR LIFE AND HEALTH INSURANCE BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 30. AI IN INSURANCE MARKET SIZE, FOR PROPERTY AND CASUALTY INSURANCE, BY REGION, 2021-2031 ($MILLION)
- TABLE 31. AI IN INSURANCE MARKET FOR PROPERTY AND CASUALTY INSURANCE BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 32. GLOBAL AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 33. AI IN INSURANCE MARKET SIZE, FOR FRAUD DETECTION AND CREDIT ANALYSIS, BY REGION, 2021-2031 ($MILLION)
- TABLE 34. AI IN INSURANCE MARKET FOR FRAUD DETECTION AND CREDIT ANALYSIS BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 35. AI IN INSURANCE MARKET SIZE, FOR CUSTOMER PROFILING AND SEGMENTATION, BY REGION, 2021-2031 ($MILLION)
- TABLE 36. AI IN INSURANCE MARKET FOR CUSTOMER PROFILING AND SEGMENTATION BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 37. AI IN INSURANCE MARKET SIZE, FOR PRODUCT AND POLICY DESIGN, BY REGION, 2021-2031 ($MILLION)
- TABLE 38. AI IN INSURANCE MARKET FOR PRODUCT AND POLICY DESIGN BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 39. AI IN INSURANCE MARKET SIZE, FOR UNDERWRITING AND CLAIMS ASSESSMENT, BY REGION, 2021-2031 ($MILLION)
- TABLE 40. AI IN INSURANCE MARKET FOR UNDERWRITING AND CLAIMS ASSESSMENT BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 41. AI IN INSURANCE MARKET, BY REGION, 2021-2031 ($MILLION)
- TABLE 42. NORTH AMERICA AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 43. NORTH AMERICA AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 44. NORTH AMERICA AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 45. NORTH AMERICA AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 46. NORTH AMERICA AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 47. NORTH AMERICA AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 48. NORTH AMERICA AI IN INSURANCE MARKET, BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 49. U.S. AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 50. U.S. AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 51. U.S. AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 52. U.S. AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 53. U.S. AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 54. U.S. AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 55. CANADA AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 56. CANADA AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 57. CANADA AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 58. CANADA AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 59. CANADA AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 60. CANADA AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 61. EUROPE AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 62. EUROPE AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 63. EUROPE AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 64. EUROPE AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 65. EUROPE AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 66. EUROPE AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 67. EUROPE AI IN INSURANCE MARKET, BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 68. UNITED KINGDOM AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 69. UNITED KINGDOM AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 70. UNITED KINGDOM AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 71. UNITED KINGDOM AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 72. UNITED KINGDOM AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 73. UNITED KINGDOM AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 74. GERMANY AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 75. GERMANY AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 76. GERMANY AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 77. GERMANY AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 78. GERMANY AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 79. GERMANY AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 80. FRANCE AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 81. FRANCE AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 82. FRANCE AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 83. FRANCE AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 84. FRANCE AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 85. FRANCE AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 86. ITALY AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 87. ITALY AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 88. ITALY AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 89. ITALY AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 90. ITALY AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 91. ITALY AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 92. SPAIN AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 93. SPAIN AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 94. SPAIN AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 95. SPAIN AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 96. SPAIN AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 97. SPAIN AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 98. NETHERLANDS AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 99. NETHERLANDS AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 100. NETHERLANDS AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 101. NETHERLANDS AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 102. NETHERLANDS AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 103. NETHERLANDS AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 104. REST OF EUROPE AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 105. REST OF EUROPE AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 106. REST OF EUROPE AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 107. REST OF EUROPE AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 108. REST OF EUROPE AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 109. REST OF EUROPE AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 110. ASIA-PACIFIC AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 111. ASIA-PACIFIC AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 112. ASIA-PACIFIC AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 113. ASIA-PACIFIC AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 114. ASIA-PACIFIC AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 115. ASIA-PACIFIC AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 116. ASIA-PACIFIC AI IN INSURANCE MARKET, BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 117. CHINA AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 118. CHINA AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 119. CHINA AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 120. CHINA AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 121. CHINA AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 122. CHINA AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 123. INDIA AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 124. INDIA AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 125. INDIA AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 126. INDIA AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 127. INDIA AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 128. INDIA AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 129. JAPAN AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 130. JAPAN AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 131. JAPAN AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 132. JAPAN AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 133. JAPAN AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 134. JAPAN AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 135. SOUTH KOREA AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 136. SOUTH KOREA AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 137. SOUTH KOREA AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 138. SOUTH KOREA AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 139. SOUTH KOREA AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 140. SOUTH KOREA AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 141. AUSTRALIA AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 142. AUSTRALIA AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 143. AUSTRALIA AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 144. AUSTRALIA AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 145. AUSTRALIA AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 146. AUSTRALIA AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 147. REST OF ASIA-PACIFIC AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 148. REST OF ASIA-PACIFIC AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 149. REST OF ASIA-PACIFIC AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 150. REST OF ASIA-PACIFIC AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 151. REST OF ASIA-PACIFIC AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 152. REST OF ASIA-PACIFIC AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 153. LAMEA AI IN INSURANCE MARKET, BY OFFERING, 2021-2031 ($MILLION)
- TABLE 154. LAMEA AI IN INSURANCE MARKET, BY DEPLOYMENT MODEL, 2021-2031 ($MILLION)
- TABLE 155. LAMEA AI IN INSURANCE MARKET, BY TECHNOLOGY, 2021-2031 ($MILLION)
- TABLE 156. LAMEA AI IN INSURANCE MARKET, BY ENTERPRISE SIZE, 2021-2031 ($MILLION)
- TABLE 157. LAMEA AI IN INSURANCE MARKET, BY END-USER, 2021-2031 ($MILLION)
- TABLE 158. LAMEA AI IN INSURANCE MARKET, BY APPLICATION, 2021-2031 ($MILLION)
- TABLE 159. LAMEA AI IN INSURANCE MARKET, BY COUNTRY, 2021-2031 ($MILLION)
- TABLE 160. LATIN AMERICA AI IN INSURANCE MARKET, BY OFFER
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