Global Artificial Intelligence In Insurtech 麻豆原创 Research Report 2023

Publication ID:

PB502231351

Publication Date:

February 15, 2023

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 2,900.00

IT Services [2]

Hardware (Computing & Electronics) [3]

Computing & Electronics [4]

Description:

Insurtech is use of technology and innovations to squeeze out the time and saving from current insurance model.
Highlights
The global Artificial Intelligence In Insurtech market was valued at US$ million in 2022 and is anticipated to reach US$ million by 2029, witnessing a CAGR of % during the forecast period 2023-2029. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.
North American market for Artificial Intelligence In Insurtech is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
Asia-Pacific market for Artificial Intelligence In Insurtech is estimated to increase from $ million in 2023 to reach $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The global market for Artificial Intelligence In Insurtech in Automotive is estimated to increase from $ million in 2023 to $ million by 2029, at a CAGR of % during the forecast period of 2023 through 2029.
The key global companies of Artificial Intelligence In Insurtech include Cognizant, Next IT Corp, Kasisto, Cape Analytics Inc., Microsoft, Google, Salesforce, Amazon Web Services and Lemonade, etc. In 2022, the world's top three vendors accounted for approximately % of the revenue.
Report Scope
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence In Insurtech, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence In Insurtech.
The Artificial Intelligence In Insurtech market size, estimations, and forecasts are provided in terms of and revenue ($ millions), considering 2022 as the base year, with history and forecast data for the period from 2018 to 2029. This report segments the global Artificial Intelligence In Insurtech market comprehensively. Regional market sizes, concerning products by type, by application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence In Insurtech companies, new entrants, and industry chain related companies in this market with information on the revenues for the overall market and the sub-segments across the different segments, by company, by type, by application, and by regions.
By Company
Cognizant
Next IT Corp
Kasisto
Cape Analytics Inc.
Microsoft
Google
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
UK
Italy
Russia
Nordic Countries
Rest of Europe
Asia-Pacific
China
Japan
South Korea
Southeast Asia
India
Australia
Rest of Asia
Latin America
Mexico
Brazil
Rest of Latin America
Middle East & Africa
Turkey
Saudi Arabia
UAE
Rest of MEA
Core Chapters
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by type, application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market 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, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence In Insurtech companies鈥� competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the key companies in the market in detail, including product revenue, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.

Please Note - This is an on demand report and will be delivered in 2 business days (48 hours) post payment.

Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence In Insurtech 麻豆原创 Size Growth Rate by Type: 2018 VS 2022 VS 2029
1.2.2 Service
1.2.3 Product
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence In Insurtech 麻豆原创 Growth by Application: 2018 VS 2022 VS 2029
1.3.2 Automotive
1.3.3 Healthcare
1.3.4 Information Technology
1.3.5 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence In Insurtech 麻豆原创 Perspective (2018-2029)
2.2 Artificial Intelligence In Insurtech Growth Trends by Region
2.2.1 Global Artificial Intelligence In Insurtech 麻豆原创 Size by Region: 2018 VS 2022 VS 2029
2.2.2 Artificial Intelligence In Insurtech Historic 麻豆原创 Size by Region (2018-2023)
2.2.3 Artificial Intelligence In Insurtech Forecasted 麻豆原创 Size by Region (2024-2029)
2.3 Artificial Intelligence In Insurtech 麻豆原创 Dynamics
2.3.1 Artificial Intelligence In Insurtech Industry Trends
2.3.2 Artificial Intelligence In Insurtech 麻豆原创 Drivers
2.3.3 Artificial Intelligence In Insurtech 麻豆原创 Challenges
2.3.4 Artificial Intelligence In Insurtech 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence In Insurtech Players by Revenue
3.1.1 Global Top Artificial Intelligence In Insurtech Players by Revenue (2018-2023)
3.1.2 Global Artificial Intelligence In Insurtech Revenue 麻豆原创 Share by Players (2018-2023)
3.2 Global Artificial Intelligence In Insurtech 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence In Insurtech Revenue
3.4 Global Artificial Intelligence In Insurtech 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence In Insurtech 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence In Insurtech Revenue in 2022
3.5 Artificial Intelligence In Insurtech Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence In Insurtech Product Solution and Service
3.7 Date of Enter into Artificial Intelligence In Insurtech 麻豆原创
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence In Insurtech Breakdown Data by Type
4.1 Global Artificial Intelligence In Insurtech Historic 麻豆原创 Size by Type (2018-2023)
4.2 Global Artificial Intelligence In Insurtech Forecasted 麻豆原创 Size by Type (2024-2029)
5 Artificial Intelligence In Insurtech Breakdown Data by Application
5.1 Global Artificial Intelligence In Insurtech Historic 麻豆原创 Size by Application (2018-2023)
5.2 Global Artificial Intelligence In Insurtech Forecasted 麻豆原创 Size by Application (2024-2029)
6 North America
6.1 North America Artificial Intelligence In Insurtech 麻豆原创 Size (2018-2029)
6.2 North America Artificial Intelligence In Insurtech 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
6.3 North America Artificial Intelligence In Insurtech 麻豆原创 Size by Country (2018-2023)
6.4 North America Artificial Intelligence In Insurtech 麻豆原创 Size by Country (2024-2029)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence In Insurtech 麻豆原创 Size (2018-2029)
7.2 Europe Artificial Intelligence In Insurtech 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
7.3 Europe Artificial Intelligence In Insurtech 麻豆原创 Size by Country (2018-2023)
7.4 Europe Artificial Intelligence In Insurtech 麻豆原创 Size by Country (2024-2029)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence In Insurtech 麻豆原创 Size (2018-2029)
8.2 Asia-Pacific Artificial Intelligence In Insurtech 麻豆原创 Growth Rate by Region: 2018 VS 2022 VS 2029
8.3 Asia-Pacific Artificial Intelligence In Insurtech 麻豆原创 Size by Region (2018-2023)
8.4 Asia-Pacific Artificial Intelligence In Insurtech 麻豆原创 Size by Region (2024-2029)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence In Insurtech 麻豆原创 Size (2018-2029)
9.2 Latin America Artificial Intelligence In Insurtech 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
9.3 Latin America Artificial Intelligence In Insurtech 麻豆原创 Size by Country (2018-2023)
9.4 Latin America Artificial Intelligence In Insurtech 麻豆原创 Size by Country (2024-2029)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence In Insurtech 麻豆原创 Size (2018-2029)
10.2 Middle East & Africa Artificial Intelligence In Insurtech 麻豆原创 Growth Rate by Country: 2018 VS 2022 VS 2029
10.3 Middle East & Africa Artificial Intelligence In Insurtech 麻豆原创 Size by Country (2018-2023)
10.4 Middle East & Africa Artificial Intelligence In Insurtech 麻豆原创 Size by Country (2024-2029)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 Cognizant
11.1.1 Cognizant Company Detail
11.1.2 Cognizant Business Overview
11.1.3 Cognizant Artificial Intelligence In Insurtech Introduction
11.1.4 Cognizant Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.1.5 Cognizant Recent Development
11.2 Next IT Corp
11.2.1 Next IT Corp Company Detail
11.2.2 Next IT Corp Business Overview
11.2.3 Next IT Corp Artificial Intelligence In Insurtech Introduction
11.2.4 Next IT Corp Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.2.5 Next IT Corp Recent Development
11.3 Kasisto
11.3.1 Kasisto Company Detail
11.3.2 Kasisto Business Overview
11.3.3 Kasisto Artificial Intelligence In Insurtech Introduction
11.3.4 Kasisto Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.3.5 Kasisto Recent Development
11.4 Cape Analytics Inc.
11.4.1 Cape Analytics Inc. Company Detail
11.4.2 Cape Analytics Inc. Business Overview
11.4.3 Cape Analytics Inc. Artificial Intelligence In Insurtech Introduction
11.4.4 Cape Analytics Inc. Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.4.5 Cape Analytics Inc. Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Artificial Intelligence In Insurtech Introduction
11.5.4 Microsoft Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.5.5 Microsoft Recent Development
11.6 Google
11.6.1 Google Company Detail
11.6.2 Google Business Overview
11.6.3 Google Artificial Intelligence In Insurtech Introduction
11.6.4 Google Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.6.5 Google Recent Development
11.7 Salesforce
11.7.1 Salesforce Company Detail
11.7.2 Salesforce Business Overview
11.7.3 Salesforce Artificial Intelligence In Insurtech Introduction
11.7.4 Salesforce Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.7.5 Salesforce Recent Development
11.8 Amazon Web Services
11.8.1 Amazon Web Services Company Detail
11.8.2 Amazon Web Services Business Overview
11.8.3 Amazon Web Services Artificial Intelligence In Insurtech Introduction
11.8.4 Amazon Web Services Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.8.5 Amazon Web Services Recent Development
11.9 Lemonade
11.9.1 Lemonade Company Detail
11.9.2 Lemonade Business Overview
11.9.3 Lemonade Artificial Intelligence In Insurtech Introduction
11.9.4 Lemonade Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.9.5 Lemonade Recent Development
11.10 Lexalytics
11.10.1 Lexalytics Company Detail
11.10.2 Lexalytics Business Overview
11.10.3 Lexalytics Artificial Intelligence In Insurtech Introduction
11.10.4 Lexalytics Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.10.5 Lexalytics Recent Development
11.11 H2O.ai
11.11.1 H2O.ai Company Detail
11.11.2 H2O.ai Business Overview
11.11.3 H2O.ai Artificial Intelligence In Insurtech Introduction
11.11.4 H2O.ai Revenue in Artificial Intelligence In Insurtech Business (2018-2023)
11.11.5 H2O.ai Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details

Companies Mentioned:

Cognizant
Next IT Corp
Kasisto
Cape Analytics Inc.
Microsoft
Google
Salesforce
Amazon Web Services
Lemonade
Lexalytics
H2O.ai

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