Global Artificial Intelligence in Insurance In Depth Monitoring and Development Analysis

Global Artificial Intelligence (AI) in Insurance In-Depth Monitoring and Development Analysis Report 2024

Global Artificial Intelligence in Insurance In Depth Monitoring and Development Analysis

Global Artificial Intelligence (AI) in Insurance In-Depth Monitoring and Development Analysis Report 2024


Market by End User (Office Building Construction, Retail Construction, Hospitality Construction, Institutional Construction, Other End Users), by North America (United States, Canada, Mexico), by South America (Brazil, Argentina, Rest of South America), by Europe (United Kingdom, Germany, France, Italy, Spain, Russia, Benelux, Nordics, Rest of Europe), by Middle East & Africa (Turkey, Israel, GCC, North Africa, South Africa, Rest of Middle East & Africa), by Asia Pacific (China, India, Japan, South Korea, ASEAN, Oceania, Rest of Asia Pacific) Forecast - is a comprehensive report that provides insights into the market dynamics, including the key drivers, challenges, and opportunities shaping the industry landscape. It also delves into the competitive landscape, highlighting the major players and their strategies.


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The global Artificial Intelligence (AI) in Insurance market size in 2023 is 3640.0 million US dollars, and it is expected to be 26880.3 million US dollars by 2030, with a compound annual growth rate of 33.06% expected in 2024-2030.

MARKET COMPETITIVE LANDSCAPE:

The main players in the Artificial Intelligence (AI) in Insurance market include Microsoft (U.S.), Infosys Limited (India), Tractable Ltd (U.S.), Insurify, Inc. (U.S.), and Slice Insurance Technologies Inc., (U.S.). The share of the top 3 players in the Artificial Intelligence (AI) in Insurance market is XX%.

REGION SHARE:

The report covers the market size information of North America, Europe, Asia Pacific, Latin America, Middle East and Africa, and North America accounted for XX%, Europe accounted for XX% of Artificial Intelligence (AI) in Insurance market, and Asia Pacific accounted for XX%.

SEGMENT OVERVIEW:

The report segments the market by Type and Application. Hardware accounted for XX% of Artificial Intelligence (AI) in Insurance market in 2023. Software share of XX%.

Large Enterprises accounted for XX% of the Artificial Intelligence (AI) in Insurance market in 2023. SMEs Enterprises accounts for XX%.

This Artificial Intelligence (AI) in Insurance market report provides detailed information on latest developments, trade regulations, value chain optimization, market share, impact of domestic and local market players, analyzes emerging revenue sources, market regulation changes Opportunities in Aspects, Strategic Market Growth Analysis, Market Size, Category Market Growth, Application Areas and Dominance, Product Approvals, Product Launches, Geographic Expansion, Technological Innovations in the Market.

Artificial Intelligence (AI) in Insurance market country level analysis

The countries covered in the Artificial Intelligence (AI) in Insurance market report include the United States, Canada, Germany, United Kingdom, France, Russia, Japan, China, India, South Korea, Brazil, UAE, Saudi Arabia, etc.

The presence and availability of global brands and challenges due to intense or scarce competition from local and domestic brands, and trade routes are also considered while providing the predictive analysis of country data.

Competitive Landscape and Artificial Intelligence (AI) in Insurance Market Share Analysis

Artificial Intelligence (AI) in Insurance market competitive landscape provides details by competitors. The detailed information includes company profile, company financials, revenue generated, market potential, R&D investments, new market plans, global reach. The data points presented above relate only to companies relevant to the Artificial Intelligence (AI) in Insurance market.

Chapter Outline

Chapter 1: Introduces the product overview, market scope, product classification, and application division, and then includes research purposes, report timeline, and economic analysis of global regions.

Chapter 2: Analyzes the Artificial Intelligence (AI) in Insurance manufacturing cost, including raw material analysis, manufacturing cost structure, and industrial chain.

Chapters 3-8: Provide Global, North America, Europe, Asia-Pacific, Latin America and Middle East & Africa Artificial Intelligence (AI) in Insurance market type, application and country market segmentation data.

Chapters 9-10: Segmented the global Artificial Intelligence (AI) in Insurance market by type, and application. Analyze the revenue, sales and price of market segments from different perspectives.

Chapter 11: Introduces the market dynamics, the trends factors and drivers factors of the market, and the challenges and restraints faced by manufacturers in the industry, and includes industry mergers & acquisitions and industry new entrants and expansion plans.

Chapter 12: Analyzes the Artificial Intelligence (AI) in Insurance industry chain, including marketing channels, distributors and major downstream buyers.

Chapter 13: Analyzes the main companies in the Artificial Intelligence (AI) in Insurance industry, including their main businesses, products/services, sales, prices, revenue and gross margin.

Chapter 14: The main points and conclusions of the report.

Highlights-Regions

North America

United States

Canada

Asia Pacific

China

Japan

Korea

Southeast Asia

India

Australia

Europe

Germany

France

UK

Italy

Russia

Spain

Nordic

Latin America

Brazil

Argentina

Colombia

Mexico

Middle East & Africa

Egypt

South Africa

Israel

Turkey

GCC Countries

Player list

Microsoft (U.S.)

Infosys Limited (India)

Tractable Ltd (U.S.)

Insurify, Inc. (U.S.)

Slice Insurance Technologies Inc., (U.S.)

Google (U.S.)

Oracle (U.S.)

Amazon Web Services Inc. (U.S.)

IBM (U.S.)

Avaamo (U.S.)

Cape Analytics (U.S.)

Wipro (India)

Acko General Insurance (India)

Shift Technology (France)

Quantemplate (U.K.)

Zurich (Switzerland)

Lemonade Insurance Agency, LLC (U.S.)

Types list

Hardware

Software

Services

Application list

Large Enterprises

SMEs Enterprises

Table of Content

1 Artificial Intelligence (AI) in Insurance Market Introduction and Overview

1.1 Artificial Intelligence (AI) in Insurance Definition

1.2 Market Size Analysis by Types

1.3 Market Size Analysis by Application

1.4 Research Purposes

1.5 Report Timeline

1.6 Economic Analysis of Global Regions

2 Artificial Intelligence (AI) in Insurance Manufacturing Cost Analysis

2.1 Artificial Intelligence (AI) in Insurance Key Raw Materials Analysis

2.1.1 Key Raw Materials

2.1.2 Price Trend of Key Raw Materials

2.1.3 Key Suppliers of Raw Materials

2.2 Proportion of Manufacturing Cost Structure

2.2.1 Raw Materials

2.2.2 Labor Cost

2.2.3 Manufacturing Expenses

2.3 Manufacturing Process Analysis of Artificial Intelligence (AI) in Insurance

2.4 Artificial Intelligence (AI) in Insurance Industrial Chain Analysis

3 Global Market Growth Trends Analysis

3.1 Global Artificial Intelligence (AI) in Insurance Market Size & Forecast (2019-2030)

3.2 Artificial Intelligence (AI) in Insurance Growth Trends Analysis by Regions

3.2.1 Artificial Intelligence (AI) in Insurance Market Size by Regions: 2019 VS 2024 VS 2030

3.2.2 Artificial Intelligence (AI) in Insurance Historic Market Size by Regions (2019-2024)

3.2.3 Artificial Intelligence (AI) in Insurance Forecasted Market Size by Regions (2024-2030)

3.2.4 North America Artificial Intelligence (AI) in Insurance Market Size & Forecast (2019-2030)

3.2.5 Europe Artificial Intelligence (AI) in Insurance Market Size & Forecast (2019-2030)

3.2.6 Asia-Pacific Artificial Intelligence (AI) in Insurance Market Size & Forecast (2019-2030)

3.2.7 Latin America Artificial Intelligence (AI) in Insurance Market Size & Forecast (2019-2030)

3.2.8 Middle East & Africa Artificial Intelligence (AI) in Insurance Market Size & Forecast (2019-2030)

4 North America

4.1 North America Artificial Intelligence (AI) in Insurance Revenue by Countries

4.1.1 North America Artificial Intelligence (AI) in Insurance Revenue by Countries (2019-2030)

4.1.2 North America Artificial Intelligence (AI) in Insurance Sales by Countries (2019-2030)

4.2 North America Artificial Intelligence (AI) in Insurance Revenue by Players

4.3 North America Artificial Intelligence (AI) in Insurance Sales by Types

4.4 North America Artificial Intelligence (AI) in Insurance Sales by Applications

4.5 United States

4.6 Canada

5 Asia Pacific

5.1 Asia Pacific Artificial Intelligence (AI) in Insurance Revenue by Countries

5.1.1 Asia Pacific Artificial Intelligence (AI) in Insurance Revenue by Countries (2019-2030)

5.1.2 Asia Pacific Artificial Intelligence (AI) in Insurance Sales by Countries (2019-2030)

5.2 Asia Pacific Artificial Intelligence (AI) in Insurance Revenue by Players

5.3 Asia Pacific Artificial Intelligence (AI) in Insurance Sales by Types

5.4 Asia Pacific Artificial Intelligence (AI) in Insurance Sales by Applications

5.5 China

5.6 Japan

5.7 Korea

5.8 Southeast Asia

5.9 India

5.10 Australia

6 Europe

6.1 Europe Artificial Intelligence (AI) in Insurance Revenue by Countries

6.1.1 Europe Artificial Intelligence (AI) in Insurance Revenue by Countries (2019-2030)

6.1.2 Europe Artificial Intelligence (AI) in Insurance Sales by Countries (2019-2030)

6.2 Europe Artificial Intelligence (AI) in Insurance Revenue by Players

6.3 Europe Artificial Intelligence (AI) in Insurance Sales by Types

6.4 Europe Artificial Intelligence (AI) in Insurance Sales by Applications

6.5 Germany

6.6 France

6.7 UK

6.8 Italy

6.9 Russia

6.10 Spain

6.11 Nordic

7 Latin America

7.1 Latin America Artificial Intelligence (AI) in Insurance Revenue by Countries

7.1.1 Latin America Artificial Intelligence (AI) in Insurance Revenue by Countries (2019-2030)

7.1.2 Latin America Artificial Intelligence (AI) in Insurance Sales by Countries (2019-2030)

7.2 Latin America Artificial Intelligence (AI) in Insurance Revenue by Players

7.3 Latin America Artificial Intelligence (AI) in Insurance Sales by Types

7.4 Latin America Artificial Intelligence (AI) in Insurance Sales by Applications

7.5 Brazil

7.6 Argentina

7.7 Colombia

7.8 Mexico

8 Middle East & Africa

8.1 Middle East & Africa Artificial Intelligence (AI) in Insurance Revenue by Countries

8.1.1 Middle East & Africa Artificial Intelligence (AI) in Insurance Revenue by Countries (2019-2030)

8.1.2 Middle East & Africa Artificial Intelligence (AI) in Insurance Sales by Countries (2019-2030)

8.2 Middle East & Africa Artificial Intelligence (AI) in Insurance Revenue by Players

8.3 Middle East & Africa Artificial Intelligence (AI) in Insurance Sales by Types

8.4 Middle East & Africa Artificial Intelligence (AI) in Insurance Sales by Applications

8.5 Egypt

8.6 South Africa

8.7 Israel

8.8 Turkey

8.9 GCC Countries

9 Global Artificial Intelligence (AI) in Insurance Historical and Forecast Market Analysis by Type

9.1 Global Artificial Intelligence (AI) in Insurance Revenue and Market Share by Type

9.2 Global Artificial Intelligence (AI) in Insurance Sales and Market Share by Type

9.3 Global Artificial Intelligence (AI) in Insurance Revenue Market Forecast by Type (2024-2030)

9.4 Global Artificial Intelligence (AI) in Insurance Sales Market Forecast by Type (2024-2030)

10 Global Artificial Intelligence (AI) in Insurance Historical and Forecast Market Analysis by Application

10.1 Global Artificial Intelligence (AI) in Insurance Revenue Market Share by Application (2019-2024)

10.2 Global Artificial Intelligence (AI) in Insurance Sales Market Share by Application (2019-2024)

10.3 Artificial Intelligence (AI) in Insurance Revenue Market Forecast by Application (2024-2030)

10.4 Artificial Intelligence (AI) in Insurance Sales Market Forecast by Application (2024-2030)

11 Artificial Intelligence (AI) in Insurance Industry Dynamic Analysis

11.1 Artificial Intelligence (AI) in Insurance Market Trends Analysis

11.2 Artificial Intelligence (AI) in Insurance Market Drivers Analysis

11.3 Artificial Intelligence (AI) in Insurance Market Challenges Analysis

11.4 Artificial Intelligence (AI) in Insurance Market Restraints Analysis

11.5 Artificial Intelligence (AI) in Insurance Industry Mergers & Acquisitions

11.6 Artificial Intelligence (AI) in Insurance Industry New Entrants and Expansion Plans

12 Market Channel, Distributors, Traders and Dealers

12.1 Market Channel Status

12.1.1 Direct Marketing

12.1.2 Indirect Marketing

12.2 Artificial Intelligence (AI) in Insurance Typical Distributors

12.3 Artificial Intelligence (AI) in Insurance Typical Customers

13 Players Profiles13.1 Microsoft (U.S.)

13.1.1 Microsoft (U.S.) Company Profile

13.1.2 Artificial Intelligence (AI) in Insurance Product Overview

13.1.3 Microsoft (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.1.4 Microsoft (U.S.) Business Overview

13.2 Infosys Limited (India)

13.2.1 Infosys Limited (India) Company Profile

13.2.2 Artificial Intelligence (AI) in Insurance Product Overview

13.2.3 Infosys Limited (India) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.2.4 Infosys Limited (India) Business Overview

13.3 Tractable Ltd (U.S.)

13.3.1 Tractable Ltd (U.S.) Company Profile

13.3.2 Artificial Intelligence (AI) in Insurance Product Overview

13.3.3 Tractable Ltd (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.3.4 Tractable Ltd (U.S.) Business Overview

13.4 Insurify, Inc. (U.S.)

13.4.1 Insurify, Inc. (U.S.) Company Profile

13.4.2 Artificial Intelligence (AI) in Insurance Product Overview

13.4.3 Insurify, Inc. (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.4.4 Insurify, Inc. (U.S.) Business Overview

13.5 Slice Insurance Technologies Inc., (U.S.)

13.5.1 Slice Insurance Technologies Inc., (U.S.) Company Profile

13.5.2 Artificial Intelligence (AI) in Insurance Product Overview

13.5.3 Slice Insurance Technologies Inc., (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.5.4 Slice Insurance Technologies Inc., (U.S.) Business Overview

13.6 Google (U.S.)

13.6.1 Google (U.S.) Company Profile

13.6.2 Artificial Intelligence (AI) in Insurance Product Overview

13.6.3 Google (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.6.4 Google (U.S.) Business Overview

13.7 Oracle (U.S.)

13.7.1 Oracle (U.S.) Company Profile

13.7.2 Artificial Intelligence (AI) in Insurance Product Overview

13.7.3 Oracle (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.7.4 Oracle (U.S.) Business Overview

13.8 Amazon Web Services Inc. (U.S.)

13.8.1 Amazon Web Services Inc. (U.S.) Company Profile

13.8.2 Artificial Intelligence (AI) in Insurance Product Overview

13.8.3 Amazon Web Services Inc. (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.8.4 Amazon Web Services Inc. (U.S.) Business Overview

13.9 IBM (U.S.)

13.9.1 IBM (U.S.) Company Profile

13.9.2 Artificial Intelligence (AI) in Insurance Product Overview

13.9.3 IBM (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.9.4 IBM (U.S.) Business Overview

13.10 Avaamo (U.S.)

13.10.1 Avaamo (U.S.) Company Profile

13.10.2 Artificial Intelligence (AI) in Insurance Product Overview

13.10.3 Avaamo (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.10.4 Avaamo (U.S.) Business Overview

13.11 Cape Analytics (U.S.)

13.11.1 Cape Analytics (U.S.) Company Profile

13.11.2 Artificial Intelligence (AI) in Insurance Product Overview

13.11.3 Cape Analytics (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.11.4 Cape Analytics (U.S.) Business Overview

13.12 Wipro (India)

13.12.1 Wipro (India) Company Profile

13.12.2 Artificial Intelligence (AI) in Insurance Product Overview

13.12.3 Wipro (India) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.12.4 Wipro (India) Business Overview

13.13 Acko General Insurance (India)

13.13.1 Acko General Insurance (India) Company Profile

13.13.2 Artificial Intelligence (AI) in Insurance Product Overview

13.13.3 Acko General Insurance (India) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.13.4 Acko General Insurance (India) Business Overview

13.14 Shift Technology (France)

13.14.1 Shift Technology (France) Company Profile

13.14.2 Artificial Intelligence (AI) in Insurance Product Overview

13.14.3 Shift Technology (France) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.14.4 Shift Technology (France) Business Overview

13.15 Quantemplate (U.K.)

13.15.1 Quantemplate (U.K.) Company Profile

13.15.2 Artificial Intelligence (AI) in Insurance Product Overview

13.15.3 Quantemplate (U.K.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.15.4 Quantemplate (U.K.) Business Overview

13.16 Zurich (Switzerland)

13.16.1 Zurich (Switzerland) Company Profile

13.16.2 Artificial Intelligence (AI) in Insurance Product Overview

13.16.3 Zurich (Switzerland) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.16.4 Zurich (Switzerland) Business Overview

13.17 Lemonade Insurance Agency, LLC (U.S.)

13.17.1 Lemonade Insurance Agency, LLC (U.S.) Company Profile

13.17.2 Artificial Intelligence (AI) in Insurance Product Overview

13.17.3 Lemonade Insurance Agency, LLC (U.S.) Artificial Intelligence (AI) in Insurance Market Performance (2019-2024)

13.17.4 Lemonade Insurance Agency, LLC (U.S.) Business Overview

14 Research Findings and Conclusion

Tables & Figures:
Show more
Research Methodology:
This research study involved the extensive usage of both primary and secondary data sources. The research process involved the study of various factors affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry, and market risks, opportunities, market barriers and challenges. The following illustrative figure shows the market research methodology applied in this report.
Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development Market Size Estimation

To estimate market size and trends, we use a combination of top-down and bottom-up methods. This allows us to evaluate the market from various perspectives—by company, region, product type, and end users.

Our estimates are based on actual sales data, excluding any discounts. Segment breakdowns and market shares are calculated using weighted averages based on usage rates and average prices. Regional insights are determined by how widely a product or service is adopted in each area.

Key companies are identified through secondary sources like industry reports and company filings. We then verify revenue estimates and other key data points through primary research, including interviews with industry experts, company executives, and decision-makers.

We take into account all relevant factors that could influence the market and validate our findings with real-world input. Our final insights combine both qualitative and quantitative data to provide a well-rounded view. Please note, these estimates do not account for unexpected changes such as inflation, economic downturns, or policy shifts.

Data Source

Secondary Sources

This study draws on a wide range of secondary sources, including press releases, annual reports, non-profit organizations, industry associations, government agencies, and customs data. We also referred to reputable databases and directories such as Bloomberg, Wind Info, Hoovers, Factiva, Trading Economics, Statista, and others. Additional references include investor presentations, company filings (e.g., SEC), economic data, and documents from regulatory and industry bodies.

These sources were used to gather technical and market-focused insights, identify key players, analyze market segmentation and classification, and track major trends and developments across industries.

Market Size
  • Segmental value
  • Geographic Penetration
  • Product Adoption Rate for Different market
  • Journals, Websites, and Press Releases
  • Annual Reports and SEC Filings
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Market Intellix Data Repository
Market Position of Top Company
  • Product Financials
  • Geographic value Mix
  • Total Company value
  • Business/Segmental value Mix
Qualitative Analysis
  • Influence Factors
  • Market Potential
  • Market Risks and Opportunities
  • Industry Trends
  • Geographical Features
  • Government Policies
  • Company Websites and Press Releases
  • Public and Paid Databases
  • Annual Reports
  • Industry Associations
  • Market Intellix Data Repository

Primary Sources

As part of our primary research, we interviewed a variety of stakeholders from both the supply and demand sides to gather valuable qualitative and quantitative insights.

On the supply side, we spoke with product manufacturers, competitors, industry experts, research institutions, distributors, traders, and raw material suppliers. On the demand side, we engaged with business leaders, marketing and sales heads, technology and innovation directors, supply chain executives, and end users across key organizations.

These conversations helped us better understand market segmentation, pricing, applications, leading players, supply chains, demand trends, industry outlook, and key market dynamics—including risks, opportunities, barriers, and strategic developments.

Key Data Information from Primary Sources

Primary Sources Parameters Key Data
Market Segments(by Application, by Type)
  • Value by Type
  • Status and Forecast
  • Value by Application
  • Value by Regions, Status and Forecast (2025-2031)
  • Value Market Share by Type
  • Value Growth Rate by Type
  • Value by Application
  • Percentage and Growth Rate by Application
  • Value Growth Rate and Market Share by Regions
  • Market Size Status and Forecast (2025-2031)
Total Market
  • Overall Size, Status and Forecast
  • Market Size Status and Forecast (2025-2031)
Frequently asked questions(FAQ's):
How are players chosen for the research coverage of the Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development Market study?
MI used a variety of industry standards such as NAICS, ICB, TRIC, and others to identify functional players in the industry, which they then shortlist and validate in an iterative process to finalize the most relevant players.
What are the major applications for Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development?
Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development has a wide range of applications, including and others.
What is the forecasted growth rate of the Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development Market?
The Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development Market is expected to grow at a moderate CAGR during the forecast period of 2025 to 2030.
Where does the Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development Industry stands in terms of scaling end-use implementations?
According to the Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development Market research paper, organizations are making more progress than their supply chain counterparts, including suppliers.
Who should consider the Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development Market study?
The Global Artificial Intelligence (AI) in Insurance In Depth Monitoring and Development Industry stakeholders, executives, and experts, as well as individuals who need to develop consumer-friendly strategies and use technology to stay ahead of the competition.