Global Artificial Intelligence In Insurtech Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
Published on: 2024-01-04 | No of Pages : 400 | Industry : Latest Trends
Publisher : MRA | Format : PDF
Global Artificial Intelligence In Insurtech Market Report, History and Forecast 2018-2034, Breakdown Data by Companies, Key Regions, Types and Application
Insurtech is use of technology and innovations to squeeze out the time and saving from current insurance model.
Artificial Intelligence In Insurtech report published by MRA Research reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2023. Global Artificial Intelligence In Insurtech market is projected to reach US$ million in 2033, increasing from US$ million in 2023, with the CAGR of % during the period of 2023 to 2033. Demand from Automotive and Healthcare are the major drivers for the industry.
North America, Europe and Asia Pacific are the key regions for Artificial Intelligence In Insurtech industry. Among those areas, stimulated by rigid demand from downstream industries, Asia Pacific is estimated to experience fast growth, with the CAGR of % during 2023 to 2033.
Globally, Artificial Intelligence In Insurtech key companies include Cognizant, Next IT Corp, Kasisto, Cape Analytics Inc., Microsoft, Google, Salesforce, Amazon Web Services and Lemonade, etc. Cognizant, Next IT Corp, Kasisto are top 3 players and held % share in total in 2023.
Artificial Intelligence In Insurtech can be divided into Service and Product, etc. Service is the mainstream product in the market, accounting for % share globally in 2023.
Artificial Intelligence In Insurtech is widely used in various fields, such as Automotive, Healthcare, Information Technology and Others, etc. Automotive provides greatest supports to the Artificial Intelligence In Insurtech industry development. In 2023, global % share of Artificial Intelligence In Insurtech went into Automotive filed.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Artificial Intelligence In Insurtech market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Companies, Type, Application and Regions Listed in the Report
Cognizant
Next IT Corp
Kasisto
Cape Analytics Inc.
Microsoft
Google
Salesforce
Amazon Web Services
Lemonade
Lexalytics
H2O.ai
Segment by Type
Service
Product
Automotive
Healthcare
Information Technology
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the Artificial Intelligence In Insurtech market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, Artificial Intelligence In Insurtech introduction, etc. Artificial Intelligence In Insurtech Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry.
Chapter 12MRA Research’s Conclusions of Artificial Intelligence In Insurtech market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRA Research.
Artificial Intelligence In Insurtech report published by MRA Research reveals that COVID-19 and Russia-Ukraine War impacted the market dually in 2023. Global Artificial Intelligence In Insurtech market is projected to reach US$ million in 2033, increasing from US$ million in 2023, with the CAGR of % during the period of 2023 to 2033. Demand from Automotive and Healthcare are the major drivers for the industry.
North America, Europe and Asia Pacific are the key regions for Artificial Intelligence In Insurtech industry. Among those areas, stimulated by rigid demand from downstream industries, Asia Pacific is estimated to experience fast growth, with the CAGR of % during 2023 to 2033.
Globally, Artificial Intelligence In Insurtech key companies include Cognizant, Next IT Corp, Kasisto, Cape Analytics Inc., Microsoft, Google, Salesforce, Amazon Web Services and Lemonade, etc. Cognizant, Next IT Corp, Kasisto are top 3 players and held % share in total in 2023.
Artificial Intelligence In Insurtech can be divided into Service and Product, etc. Service is the mainstream product in the market, accounting for % share globally in 2023.
Artificial Intelligence In Insurtech is widely used in various fields, such as Automotive, Healthcare, Information Technology and Others, etc. Automotive provides greatest supports to the Artificial Intelligence In Insurtech industry development. In 2023, global % share of Artificial Intelligence In Insurtech went into Automotive filed.
Report Scope
This report, based on historical analysis (2018-2023) and forecast calculation (2023-2033), aims to help readers to get a comprehensive understanding of global Artificial Intelligence In Insurtech market with multiple angles, which provides sufficient supports to readers’ strategy and decision making.
Companies, Type, Application and Regions Listed in the Report
By Company
Cognizant
Next IT Corp
Kasisto
Cape Analytics Inc.
Microsoft
Salesforce
Amazon Web Services
Lemonade
Lexalytics
H2O.ai
Segment by Type
Service
Product
Segment by Application
Automotive
Healthcare
Information Technology
Others
By Region
North America
United States
Canada
Europe
Germany
France
U.K.
Italy
Russia
Nordic Countries
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Latin America
Mexico
Brazil
Middle East & Africa
Turkey
Saudi Arabia
UAE
Each chapter of the report provides detailed information for readers to understand the Artificial Intelligence In Insurtech market further
Chapter 1Global and regional market size and CAGR for the history and forecast period (2018-2023, 2024-2033).
Chapter 2Product Types and Revenue analysis of Each Type in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 3Product Application and Revenue analysis of Each Application in North America, Europe, Asia-Pacific, Latin America, Middle East and Africa from 2018 to 2023.
Chapter 4Company Competition Status, Detailed analysis of Product Name companies’ competitive landscape, revenue, market share and ranking, latest development plan, merger, and acquisition information, etc.
Chapter 5Companies’ Outline, covering company’s basic information, Artificial Intelligence In Insurtech introduction, etc. Artificial Intelligence In Insurtech Revenue and Gross Margin of each company as well as Recent Development are also contained in this part.
Chapter 6 to 10Country Level analysis of North America, Europe, Asia-Pacific, Latin America, Middle East and Africa by revenue.
Chapter 11Market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry.
Chapter 12MRA Research’s Conclusions of Artificial Intelligence In Insurtech market based on comprehensive survey.
Chapter 13Methodology and Data Sources adopted by MRA Research.