市场调查报告书
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全球保险分析市场规模、份额、成长分析、按组成部分、按配置- 2023-2030 年产业预测Global Insurance Analytics Market Size, Share, Growth Analysis, By Component(Solution and Service), By Deployment(On premise and Cloud) - Industry Forecast 2023-2030 |
全球保险分析市场规模预计在2022年达到106.5亿美元,预测期内(2024-2031年)复合年增长率为11.9%,从2023年的119.2亿美元增长到2031年,预计将增长至293亿美元。
这些技术的采用是由其向客户提供整合附加价值服务的需求、部署和交付所驱动的。此外,随着客户全天候 (24/7) 向多个提供者寻求线上报价和个人化保险解决方案,业界的竞争也在加剧。因此,保险分析市场可望扩大。最近对 68 家 EMEA 保险公司进行的一项调查发现,85-90% 的保险公司正在努力了解资料分析解决方案的经济案例。保险公司在充分利用资料分析解决方案的潜力方面面临一些障碍。在保持领先竞争对手的压力下,保险公司意识到需要强大的资料分析能力。此外,近年来,美国的人寿保险公司简化了核保流程,并使得线上购买人寿保险成为可能。这些因素促使人们越来越接受市场成长趋势。
自上而下和自下而上的方法已用于估计和检验全球保险分析市场的规模,并估计其他各个相关子市场的规模。用于估计市场规模的调查方法包括以下细节:透过二次研究确定市场的主要企业,并透过初步和二次研究确定每个地区的市场占有率。整个过程包括研究主要企业的年度和财务报告以及广泛的采访,以获得执行长、副总裁、董事和行销负责人等行业领导者的重要见解。所有股份比率和细分均使用二手资讯确定并使用主要资讯检验。本研究涵盖的所有可能影响市场的参数都经过详细考虑,并透过初步研究检验并分析,以获得最终的定量和定性资料。
全球保险分析市场的細項分析
全球保险分析市场根据组件、部署、公司规模、最终用途和区域进行细分。按组成部分,市场分为解决方案和服务。根据部署,市场分为本地和云端。依公司规模,公司分为大型公司和中小型公司。依最终用途分为保险公司、政府机构、第三方组织以及仲介和顾问。依地区划分,分为北美、欧洲、亚太地区、中东/非洲、拉丁美洲。
全球保险分析市场的驱动因素
保险公司越来越认识到资料分析在做出明智决策方面的重要性。透过利用先进的调查方法,保险公司可以获得有关客户行为、风险评估、诈欺识别、价格优化等的宝贵见解。对资料驱动决策的日益增长的需求正在推动保险分析解决方案的采用。
保险业从各种来源收集大量资料,包括客户互动、保单资讯、申请记录和外部资料。随着物联网 (IoT) 和远端资讯处理等技术的出现,保险公司可以更好地存取来自设备和感测器的资料。透过保险分析,保险公司可以有效地利用这些资料并获得可行的见解。
全球保险分析市场的限制因素
保险公司在处理和整合多个来源的资料时经常面临挑战,包括遗留系统、外部供应商和外部资料经销店。不准确资料资料破坏保险分析解决方案的有效性,并导致错误的见解和决策。与资料品质和整合复杂性相关的挑战是保险分析采用和有效性的主要阻碍因素。
全球保险分析市场趋势
保险公司正逐步采用机器学习、人工智慧、自然语言处理和预测建模等先进的分析技术。这些技术使保险公司能够从大量资料集获取洞察、自动化业务并根据资料主导的分析做出决策。高级分析的整合正在彻底改变传统的保险业务并提高客户互动的品质。
Global Insurance Analytics Market size was valued at USD 10.65 Billion in 2022 and is poised to grow from USD 11.92 Billion in 2023 to USD 29.30 Billion by 2031, at a CAGR of 11.9% during the forecast period (2024-2031).
The adoption of these technologies is driven by their necessity, deployment, and the provision of integrated and value-added services to clients. Moreover, customers increasingly seek online quotes and personalized insurance solutions from multiple providers at all hours, intensifying competition within the industry. Consequently, the insurance analytics market is poised for expansion. Recent research on 68 EMEA insurance companies indicates that 85 to 90% of them struggle to find a compelling economic rationale for data analytics solutions. Insurers face several hurdles hindering their ability to fully leverage the potential of data analytics solutions. Pressured to stay ahead of competitors, insurers recognize the need for robust data analytics capabilities. Furthermore, in the US, life insurers have streamlined their underwriting procedures in recent years to simplify and make purchasing life insurance online more affordable. These factors contribute to the growing acceptance of market growth trends.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Insurance Analytics Market and to estimate the size of various other dependent submarkets. The research methodology used to estimate the market size includes the following details: The key players in the market were identified through secondary research, and their market shares in the respective regions were determined through primary and secondary research. This entire procedure includes the study of the annual and financial reports of the top market players and extensive interviews for key insights from industry leaders such as CEOs, VPs, directors, and marketing executives. All percentage shares split, and breakdowns were determined using secondary sources and verified through Primary sources. All possible parameters that affect the markets covered in this research study have been accounted for, viewed in extensive detail, verified through primary research, and analysed to get the final quantitative and qualitative data.
Global Insurance Analytics Market Segmental Analysis
Global Insurance Analytics Market is segmented on the basis of component, deployment, enterprise size, end use and region. By component, the market is segmented into solution and service. By deployment, the market is segmented into on-premise and cloud. By enterprise size, the market is segmented into large and small & medium enterprise. By end use, the market is segmented into insurance companies, government agencies, third party administrators, brokers & consultancies. By region, the market is segmented into North America, Europe, Asia Pacific, Middle East and Africa, and Latin America.
Drivers of the Global Insurance Analytics Market
Insurers are progressively acknowledging the significance of data analytics in informed decision-making. Through the utilization of advanced analytics methodologies, insurers can acquire valuable insights into customer behaviour, risk evaluation, fraud identification, and price optimization. This growing need for data-informed decision-making is spurring the uptake of insurance analytics solutions.
The insurance sector collects extensive data from diverse origins including customer interactions, policy information, claims records, and external data outlets. The emergence of technologies like the Internet of Things (IoT) and telematics further expands insurers' access to data from devices and sensors. Through insurance analytics, insurers can efficiently utilize this data and extract actionable insights.
Restraints in the Global Insurance Analytics Market
Insurance firms frequently encounter difficulties in handling and consolidating data from multiple origins, such as outdated systems, external vendors, and external data outlets. Inaccurate or insufficient data can compromise the efficacy of insurance analytics solutions, resulting in erroneous insights and decision-making. Challenges related to data quality and integration complexities represent significant impediments to the uptake and effectiveness of insurance analytics.
Market Trends of the Global Insurance Analytics Market
Insurance firms are progressively embracing sophisticated analytics methodologies like machine learning, artificial intelligence, natural language processing, and predictive modelling. These methodologies empower insurers to derive insights from vast datasets, automate operations, and base decisions on data-driven analyses. The integration of advanced analytics is revolutionizing conventional insurance practices and elevating the quality of customer interactions.