保险市场中的人工智能 (AI) 概览、增长、趋势、分析、研究报告(2023-2031 年)

  • Report Code : TIPRE00010645
  • Category : Technology, Media and Telecommunications
  • No. of Pages : 150
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2023 年至 2031 年期间,保险市场的人工智能 (AI) 预计将实现 32.7% 的复合年增长率。对预测分析和自动化的不断增长的需求可能仍是市场的主要趋势。

保险市场分析中的人工智能(AI)

  • 人工智能保险部门支持保险行业,并将海量数据提升到最佳水平。
  • 保险公司为个人设计定制保单,系统化承保流程,并为全球客户提供更准确的估价。
  • 整合人工智能技术可以进一步实现精准预测、管理客户互动并扩展个性化服务。

保险市场中的人工智能(AI)概览

  • 人工智能技术可以为保险行业的风险管理变革带来一系列潜在的好处。
  • 保险公司正在整合人工智能技术,以前所未有的精度和速度精确评估、管理客户互动并扩展个性化服务和产品线。
  • 在保险行业,担保人使用人工智能来改善客户服务、提高效率并有效打击欺诈​​。
  • 人工智能技术将允许保险公司利用已开发的数据集来恢复其流程,从机械化客户支持到改进风险建模和预测。

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保险市场中的人工智能 (AI):战略洞察

保险市场中的人工智能(AI)
  • Artificial Intelligence (AI) in Insurance Market
    复合年增长率(2023 - 2031)
    32.7%
  • 2023 年市场规模
    XX 百万美元
  • 市场规模 2031
    美元 XX 百万美元

市场动态

增长动力
  • 消费者对个性化体验的需求日益增长
未来趋势
  • 技术进步
机会
  • 对预测分析和自动化的需求不断增长

关键人物

  • 亚马逊网络服务公司
  • 阿瓦莫
  • Cape Analytics 有限责任公司
  • IBM 公司
  • 微软公司
  • Shift 技术
  • 威普罗有限公司
  • 阿文加国际有限公司
  • SAS 研究所
  • OpenText 公司

区域概况

Artificial Intelligence (AI) in Insurance Market
  • 北美
  • 欧洲
  • 亚太
  • 南美洲和中美洲
  • 中东和非洲

市场细分

Artificial Intelligence (AI) in Insurance Market成分
  • 软件
  • 服务
Artificial Intelligence (AI) in Insurance Market技术
  • 机器学习和深度学习
  • 自然语言处理[NLP]
  • 机器视觉
  • 机器人自动化
Artificial Intelligence (AI) in Insurance Market部署
  • 本地部署
Artificial Intelligence (AI) in Insurance Market应用
  • 索赔管理
  • 风险管理与合规
  • 聊天机器人
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

保险市场的人工智能(AI)驱动因素和机遇

消费者对个性化体验的需求不断增长,市场受益

  • 消费者期待个性化的体验,这鼓励市场参与者采用人工智能技术来实现保险流程的自动化。
  • 人工智能技术支持保险公司分析客户数据和行为,人工智能算法可以对客户进行分类,识别他们的偏好和需求,并定制营销信息和产品推荐。这通过增加市场参与者的交叉销售和追加销售机会来提高客户参与度和忠诚度。
  • 聊天机器人和虚拟助手等人工智能解决方案使保险公司能够满足客户对及时和个性化支持的需求,从而增加了需求,从而推动了市场发展。

技术进步

  • 保险公司高度需要机器学习、自然语言处理和计算机视觉等先进技术来追踪客户的行为并实时维护数据。
  • 人工智能和机器学习的蓬勃发展为从数据中提取价值提供了新的机会。
  • 此外,大型语言建模(LLM)是人工智能的一个分支,用于处理文档中包含的数据。
  • 保险公司使用 LLM 来加速索赔流程并提高准确性检测欺诈性索赔。
  • 此外,生成式人工智能的发展带来了收集的数据、工具和功能,为保险公司提供数据处理和管理解决方案。

保险市场人工智能(AI)报告细分分析

在保险市场分析中,促成人工智能(AI)衍生的关键部分是产品、部署、企业规模和最终用户。

  • 根据组成部分,保险市场的人工智能(AI)分为软件和服务。2023 年,软件部分占据了更大的市场份额。
  • 根据技术,市场分为机器学习和深度学习、自然语言处理 (NLP)、机器视觉和机器人自动化。机器学习和深度学习领域预计将在预测期内大幅扩张。
  • 在部署方面,保险市场的人工智能 (AI) 分为云端和本地部署。2023 年,云端部署占据了更大的市场份额。
  • 根据应用,市场分为索赔管理、风险管理、合规、聊天机器人等。预计聊天机器人细分市场在预测期内将出现增长。
  • 根据最终用户,市场分为人寿保险、健康保险、产权保险、汽车保险等。预计在预测期内,人寿保险领域将大幅扩张。

保险业人工智能(AI)市场份额按地区分析

保险市场报告中人工智能(AI)的地理范围主要分为五个区域:北美、亚太、欧洲、中东和非洲、南美和中美。

  • 由于技术进步和主要市场参与者的存在,预计亚太地区市场将在预测期内扩大。
  • IBM 公司、微软公司和 OpenText 公司等公司正致力于开发、升级和改进其产品组合,以满足客户的动态需求,从而推动市场发展。

保险市场中的人工智能(AI)报告范围

报告属性细节
2023 年的市场规模XX 百万美元
2031 年市场规模XX 百万美元
全球复合年增长率(2023 - 2031)32.7%
史料2021-2022
预测期2024-2031
涵盖的领域按组件
  • 软件
  • 服务
按技术分类
  • 机器学习和深度学习
  • 自然语言处理[NLP]
  • 机器视觉
  • 机器人自动化
按部署
  • 本地部署
按应用
  • 索赔管理
  • 风险管理与合规
  • 聊天机器人
覆盖地区和国家北美
  • 我们
  • 加拿大
  • 墨西哥
欧洲
  • 英国
  • 德国
  • 法国
  • 俄罗斯
  • 意大利
  • 欧洲其他地区
亚太
  • 中国
  • 印度
  • 日本
  • 澳大利亚
  • 亚太其他地区
南美洲和中美洲
  • 巴西
  • 阿根廷
  • 南美洲和中美洲其他地区
中东和非洲
  • 南非
  • 沙特阿拉伯
  • 阿联酋
  • 中东和非洲其他地区
市场领导者和主要公司简介
  • 亚马逊网络服务公司
  • 阿瓦莫
  • Cape Analytics 有限责任公司
  • IBM 公司
  • 微软公司
  • Shift 技术
  • 威普罗有限公司
  • 阿文加国际有限公司
  • SAS 研究所
  • OpenText 公司
  • 示例 PDF 通过定性和定量分析展示了内容结构和信息的性质。

保险市场中的人工智能(AI)新闻和最新发展

保险市场中的人工智能 (AI) 是通过收集一手和二手研究后的定性和定量数据来评估的,其中包括重要的公司出版物、协会数据和数据库。以下列出了保险市场中人工智能 (AI) 的一些发展:

  • 瑞士再保险推出其人寿和健康险承保手册 Life Guide 的增强版。新版本配备了 Swiss Re Life Guide Scout,这是瑞士再保险开发的一款基于生成式 AI 的承保助手,集成了 Microsoft Azure OpenAI 服务。人寿和健康险承保是一个复杂的过程,需要准确和最新的信息来评估投保人的风险。Swiss Re Life Guide Scout 旨在通过从精选的专家知识中汇编而成的快速答案来回答承保人用自然语言提出的问题,从而帮助提高承保的效率和质量。(来源:瑞士再保险,公司网站,2024 年 5 月)

保险市场中的人工智能 (AI) 报告范围和交付成果

“人工智能(AI)保险市场规模及预测(2021-2031)”报告对以下领域进行了详细的市场分析:

  • 人工智能 (AI) 在保险市场规模及预测方面在全球、区域和国家层面涵盖的所有主要细分市场
  • 人工智能在保险市场的发展趋势以及市场动态,如驱动因素、限制因素和关键机遇
  • 详细的 PEST/波特五力分析和 SWOT 分析
  • 保险市场人工智能(AI)分析涵盖主要市场趋势、全球和、主要参与者、法规和最新市场发展
  • 行业格局和竞争分析,涵盖市场集中度、热点图分析、知名参与者以及保险市场人工智能 (AI) 的最新发展
  • 详细的公司简介
  • Historical Analysis (2 Years), Base Year, Forecast (7 Years) with CAGR
  • PEST and SWOT Analysis
  • Market Size Value / Volume - Global, Regional, Country
  • Industry and Competitive Landscape
  • Excel Dataset
Report Coverage
Report Coverage

Revenue forecast, Company Analysis, Industry landscape, Growth factors, and Trends

Segment Covered
Segment Covered

This text is related
to segments covered.

Regional Scope
Regional Scope

North America, Europe, Asia Pacific, Middle East & Africa, South & Central America

Country Scope
Country Scope

This text is related
to country scope.

Frequently Asked Questions


What is the expected CAGR of artificial intelligence (AI) in the insurance market?

The global artificial intelligence (AI) in the insurance market is estimated to register a CAGR of 32.7% during the forecast period 2023–2031.

Which are the leading players operating in artificial intelligence (AI) in the insurance market?

The key players holding majority shares in the global artificial intelligence (AI) in the insurance market are Amazon Web Services, Inc., Avaamo, Cape Analytics, LLC, IBM Corp, Microsoft Corp, Shift Technology, Wipro Limited, Avenga International GmbH, SAS Institute Inc., and OpenText Corporation.

What are the future trends of artificial intelligence (AI) in the insurance market?

The growing demand for predictive analytics and automation to play a significant role in the global artificial intelligence (AI) in the insurance market in the coming years.

Which region dominated the artificial intelligence (AI) in the insurance market in 2023?

North America dominated the artificial intelligence (AI) in the insurance market in 2023.

What are the driving factors impacting artificial intelligence (AI) in the insurance market?

The rising need for personalized experience among consumers is the major factors that propel global artificial intelligence (AI) in the insurance market.

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The List of Companies

1. Amazon Web Services, Inc.
2. Avaamo
3. Cape Analytics, LLC
4. IBM
5. Lemonade, Inc.
6. Microsoft
7. Osp Labs Pvt Ltd
8. Shift Technology
9. Trov Insurance Solutions, LLC
10. Wipro Limited


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The Insight Partners performs research in 4 major stages: Data Collection & Secondary Research, Primary Research, Data Analysis and Data Triangulation & Final Review.

  1. Data Collection and Secondary Research:

As a market research and consulting firm operating from a decade, we have published and advised several client across the globe. First step for any study will start with an assessment of currently available data and insights from existing reports. Further, historical and current market information is collected from Investor Presentations, Annual Reports, SEC Filings, etc., and other information related to company’s performance and market positioning are gathered from Paid Databases (Factiva, Hoovers, and Reuters) and various other publications available in public domain.

Several associations trade associates, technical forums, institutes, societies and organization are accessed to gain technical as well as market related insights through their publications such as research papers, blogs and press releases related to the studies are referred to get cues about the market. Further, white papers, journals, magazines, and other news articles published in last 3 years are scrutinized and analyzed to understand the current market trends.

  1. Primary Research:

The primarily interview analysis comprise of data obtained from industry participants interview and answers to survey questions gathered by in-house primary team.

For primary research, interviews are conducted with industry experts/CEOs/Marketing Managers/VPs/Subject Matter Experts from both demand and supply side to get a 360-degree view of the market. The primary team conducts several interviews based on the complexity of the markets to understand the various market trends and dynamics which makes research more credible and precise.

A typical research interview fulfils the following functions:

  • Provides first-hand information on the market size, market trends, growth trends, competitive landscape, and outlook
  • Validates and strengthens in-house secondary research findings
  • Develops the analysis team’s expertise and market understanding

Primary research involves email interactions and telephone interviews for each market, category, segment, and sub-segment across geographies. The participants who typically take part in such a process include, but are not limited to:

  • Industry participants: VPs, business development managers, market intelligence managers and national sales managers
  • Outside experts: Valuation experts, research analysts and key opinion leaders specializing in the electronics and semiconductor industry.

Below is the breakup of our primary respondents by company, designation, and region:

Research Methodology

Once we receive the confirmation from primary research sources or primary respondents, we finalize the base year market estimation and forecast the data as per the macroeconomic and microeconomic factors assessed during data collection.

  1. Data Analysis:

Once data is validated through both secondary as well as primary respondents, we finalize the market estimations by hypothesis formulation and factor analysis at regional and country level.

  • Macro-Economic Factor Analysis:

We analyse macroeconomic indicators such the gross domestic product (GDP), increase in the demand for goods and services across industries, technological advancement, regional economic growth, governmental policies, the influence of COVID-19, PEST analysis, and other aspects. This analysis aids in setting benchmarks for various nations/regions and approximating market splits. Additionally, the general trend of the aforementioned components aid in determining the market's development possibilities.

  • Country Level Data:

Various factors that are especially aligned to the country are taken into account to determine the market size for a certain area and country, including the presence of vendors, such as headquarters and offices, the country's GDP, demand patterns, and industry growth. To comprehend the market dynamics for the nation, a number of growth variables, inhibitors, application areas, and current market trends are researched. The aforementioned elements aid in determining the country's overall market's growth potential.

  • Company Profile:

The “Table of Contents” is formulated by listing and analyzing more than 25 - 30 companies operating in the market ecosystem across geographies. However, we profile only 10 companies as a standard practice in our syndicate reports. These 10 companies comprise leading, emerging, and regional players. Nonetheless, our analysis is not restricted to the 10 listed companies, we also analyze other companies present in the market to develop a holistic view and understand the prevailing trends. The “Company Profiles” section in the report covers key facts, business description, products & services, financial information, SWOT analysis, and key developments. The financial information presented is extracted from the annual reports and official documents of the publicly listed companies. Upon collecting the information for the sections of respective companies, we verify them via various primary sources and then compile the data in respective company profiles. The company level information helps us in deriving the base number as well as in forecasting the market size.

  • Developing Base Number:

Aggregation of sales statistics (2020-2022) and macro-economic factor, and other secondary and primary research insights are utilized to arrive at base number and related market shares for 2022. The data gaps are identified in this step and relevant market data is analyzed, collected from paid primary interviews or databases. On finalizing the base year market size, forecasts are developed on the basis of macro-economic, industry and market growth factors and company level analysis.

  1. Data Triangulation and Final Review:

The market findings and base year market size calculations are validated from supply as well as demand side. Demand side validations are based on macro-economic factor analysis and benchmarks for respective regions and countries. In case of supply side validations, revenues of major companies are estimated (in case not available) based on industry benchmark, approximate number of employees, product portfolio, and primary interviews revenues are gathered. Further revenue from target product/service segment is assessed to avoid overshooting of market statistics. In case of heavy deviations between supply and demand side values, all thes steps are repeated to achieve synchronization.

We follow an iterative model, wherein we share our research findings with Subject Matter Experts (SME’s) and Key Opinion Leaders (KOLs) until consensus view of the market is not formulated – this model negates any drastic deviation in the opinions of experts. Only validated and universally acceptable research findings are quoted in our reports.

We have important check points that we use to validate our research findings – which we call – data triangulation, where we validate the information, we generate from secondary sources with primary interviews and then we re-validate with our internal data bases and Subject matter experts. This comprehensive model enables us to deliver high quality, reliable data in shortest possible time.