← 產業報告目錄
AI in Insurance Market Size, Share & Trends Analysis Report By Type (Machine Learning, Natural Language Processing (NLP), Computer Vision, Expert Systems, Robotics), By Application, By End User, By Region, And By Segment Forecasts, 2024-2031.
出版商 InsightAce Analytic產業別 ICT & Media出版日期 2026-02-13頁數 179報告編號 INSIGHTACE-398f4f1222
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| Single User PDF | $4,500 USD |
| Global Site License PDF | $9,500 USD |
報告摘要
Valued at USD 10.9 billion as of 2023, the global AI in Insurance Market is poised to climb to USD 98.7 billion by 2031, reflecting a compound annual growth rate of 32.3% over the 2024–2031 period.
AI in Insurance encompasses ai in insurance is transforming how insurers operate by enhancing customer service, improving risk assessment, automating claims processing, and detecting fraud. The sector has gained traction as organizations seek innovative approaches to address evolving technology and communications challenges.
The market's upward path is supported by rising healthcare spending, technological evolution, and the rising focus on personalized and precision-based approaches in technology and communications.
The market landscape is structured across several key segments—spanning type, application, distribution channel, and region—each contributing uniquely to overall market expansion.
From a regional perspective, mature markets in North America and Europe continue to hold substantial shares, while the Asia-Pacific region is gaining momentum through accelerated economic development and rising investment in the sector.
The competitive arena features a mix of established conglomerates and agile innovators, each vying for market position through strategic acquisitions, product launches, and capacity expansion.
This comprehensive research study delivers granular insights into market sizing, trend analysis, competitive benchmarking, and forward-looking projections to support strategic decision-making for industry participants and investors.
目錄 Table of Contents
Chapter 1. Methodology and Scope
1.1. Research Methodology
1.2. Research Scope & Assumptions
Chapter 2. Executive Summary
Chapter 3. Global AI in Insurance Market Snapshot
Chapter 4. Global AI in Insurance Market Variables, Trends & Scope
4.1. Market Segmentation & Scope
4.2. Drivers
4.3. Challenges
4.4. Trends
4.5. Investment and Funding Analysis
4.6. Industry Analysis – Porter's Five Forces Analysis
4.7. Competitive Landscape & Market Share Analysis
4.8. Impact of Covid-19 Analysis
Chapter 5. Market Segmentation 1: by Type Estimates & Trend Analysis
5.1. by Type & Market Share, 2019 & 2031
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Type:
5.2.1. Machine Learning
5.2.2. Natural Language Processing (NLP)
5.2.3. Computer Vision
5.2.4. Expert Systems
5.2.5. Robotics
5.2.6. Other Devices
Chapter 6. Market Segmentation 2: by End user Estimates & Trend Analysis
6.1. by End user & Market Share, 2019 & 2031
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End user:
6.2.1. Insurance Companies
6.2.2. Insurance Brokers and Agents
6.2.3. Reinsurance Companies
Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis
7.1. by Application & Market Share, 2019 & 2031
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:
7.2.1. Underwriting and Risk Assessment
7.2.2. Claims Processing and Fraud Detection
7.2.3. Customer Service and Support
7.2.4. Personalized Marketing and Sales
7.2.5. Policy Pricing and Recommendations
Chapter 8. AI in Insurance Market Segmentation 4: Regional Estimates & Trend Analysis
8.1. North America
8.1.1. North America AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.1.2. North America AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by End user, 2023-2031
8.1.3. North America AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.1.4. North America AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031
8.2. Europe
8.2.1. Europe AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.2.2. Europe AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by End user, 2023-2031
8.2.3. Europe AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.2.4. Europe AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031
8.3. Asia Pacific
8.3.1. Asia Pacific AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.3.2. Asia Pacific AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by End user, 2023-2031
8.3.3. Asia-Pacific AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.3.4. Asia Pacific AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031
8.4. Latin America
8.4.1. Latin America AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.4.2. Latin America AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by End user, 2023-2031
8.4.3. Latin America AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.4.4. Latin America AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031
8.5. Middle East & Africa
8.5.1. Middle East & Africa AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Type, 2023-2031
8.5.2. Middle East & Africa AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by End user, 2023-2031
8.5.3. Middle East & Africa AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by Application, 2023-2031
8.5.4. Middle East & Africa AI in Insurance Market Revenue (US$ Million) Estimates and Forecasts by country, 2023-2031
Chapter 9. Competitive Landscape
9.1. Major Mergers and Acquisitions/Strategic Alliances
9.2. Company Profiles
9.2.1. Lemonade
9.2.2. Tractable
9.2.3. Shift Technology
9.2.4. ZhongAn
9.2.5. Metromile
9.2.6. Slice Labs
9.2.7. Insurify
9.2.8. Trov
9.2.9. PolicyGenius
9.2.10. Hippo Insurance
9.2.11. Snapsheet
9.2.12. Atidot
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