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市场调查报告书
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全球医疗保健预测分析市场 2023-2030Global Healthcare Predictive Analytics Market 2023-2030 |
高品质资料的获取、组织规模、分析投资挑战、资料准确性和资料利用率在当前的医疗保健资料分析领域发挥重要作用。 2023 年 3 月,SpectrumAi 筹集了 2,000 万美元的 A 轮融资,由 CVS Health Ventures 领投。这笔资金将帮助这家新创公司推广其应用行为分析(ABA)电子健康记录、Twyll 及其网路分析平台 Patterns。对医疗保健预测分析技术的不断增长的投资预计将为全球市场的成长提供利润丰厚的机会。
全球医疗保健预测分析市场根据组件、部署模型和应用程式进行细分。根据组件,市场分为软体和服务。根据部署模型,市场分为基于云端的和本地的。根据应用,市场分为临床资料分析、财务资料分析、研究资料分析、营运管理等。
临床资料分析已成为医疗保健提供者中 IT 参与者关注的重要领域,他们正在转向负责任的患者护理。临床分析是一个利用即时医疗资料来产生见解、做出决策、增加收入和节省成本的领域。在组织中实施临床分析减少了用药错误,改善了人群健康,并为许多组织节省了成本。关键技术的快速进步和电子健康记录 (EHR) 的采用导致了该细分市场的成长。随着智慧型行动装置和应用经济的出现,患者期望在医院获得高品质的护理,这进一步促进了该细分市场的成长。
全球医疗保健预测分析市场根据地理位置进一步细分,包括北美(美国和加拿大)、欧洲(义大利、西班牙、德国、法国等)、亚太地区(印度、中国、日本、韩国、等)以及世界其他地区(中东、非洲和拉丁美洲)。在所有地区中,亚太地区预计在预测期内将以可观的CAGR成长。区域成长归因于老年人口的成长、复杂的医疗基础设施以及对医疗分析的投资。此外,越来越多旨在促进人工智慧、机器学习和分析在医疗保健组织中应用的政府措施进一步促进了区域市场的成长。
大量老年人口极易患慢性疾病,以及医疗机构对利用预测分析来改善病患照护的兴趣日益浓厚,是导致该区域市场占有率较高的一些突出因素。预测分析平台新创公司不断增长的资金进一步促进了区域市场的成长。例如,2021 年 7 月,总部位于辛辛那提的 Bon Secours Mercy Health 对医疗保健分析公司 Trilliant Health 进行了策略性投资。这个卫生系统的目标是加速 Trilliant 预测分析平台的开发,同时获取有关国家和地方医疗保健趋势的资料。
服务全球医疗保健预测分析市场的主要公司包括: Cerner Corp.、Information Builders Inc.、IBM Corp.、Oracle Corp. 和 Health Catalyst 等。市场参与者透过各种策略(包括併购、合作、合作、融资和新产品发布)为市场成长做出巨大贡献,以维持市场竞争力。
例如,2021 年 10 月,数位行为健康公司 SonderMind 收购了 Qntfy,这是一个预测分析平台,利用心理健康生物辨识资料来建议潜在的治疗方案。 SonderMind 的平台将患者与治疗师联繫起来,进行虚拟和麵对面的就诊,同时管理支付和远距医疗套件等操作。该交易将使该公司能够利用资料提供个人化护理,而无需为精神保健提供者带来额外的工作。
Title: Global Healthcare Predictive Analytics Market Size, Share & Trends Analysis Report by Component (Software, Services), By Deployment Model (Cloud Based, On-premises), and by Application (Clinical Data Analytics, Financial Data Analytics, Research Data Analytics, Operations Management, and Others),Forecast Period (2023-2030).
Global healthcare predictive analytics market is anticipated to grow at a significant CAGR of 25.5% during the forecast period. Healthcare predictive analytics support healthcare organizations, hospitals, and doctors to access, analyze, and process patient data to provide data-based quality care, accurate diagnosis, and personalized treatments. In August 2023, a survey conducted by the Healthcare Information and Management Systems Society (HIMSS) and healthcare data analytics company Arcadia about the current state of healthcare analytics platforms demonstrates that less than 60 percent of health systems' data is used to inform intelligent business decisions.
Access to high-quality data, organization size, analytics investment challenges, data accuracy, and data utilization play major roles in the current healthcare data analytics landscape. In March 2023, SpectrumAi raised $20 million in Series A funding, with investment led by CVS Health Ventures. The funding will help the startup push its applied behavior analysis (ABA) electronic health record, Twyll, and Patterns, its network analytics platform. The growing investment in healthcare predictive analytics technologies is anticipated to offer lucrative opportunities for the growth of the global market.
The global healthcare predictive analytics market is segmented based on component, deployment model, and application. Based on components, the market is segmented into software and services. Based on the deployment model, the market is segmented into cloud-based and on-premises. Based on application, the market is segmented into clinical data analytics, financial data analytics, research data analytics, operations management, and others.
Clinical data analytics has emerged as a significant area of focus for IT players among healthcare providers, who are moving toward adopting accountable patient care. Clinical analytics is a field that makes use of real-time medical data to generate insights, make decisions, increase revenues, and save on costs. The implementation of clinical analytics in organizations has led to reduced medication errors, improved population health, and cost savings for many organizations. The rapid advancements in key technologies and the adoption of electronic health records (EHRs) have led to the growth of this market segment. With the emergence of smart mobile devices and the app economy, patients expect high-quality care in hospitals which has further contributed to the growth of this market segment.
The global healthcare predictive analytics market is further segmented based on geography, including North America (the US and Canada), Europe (Italy, Spain, Germany, France, and others), Asia-Pacific (India, China, Japan, South Korea, and others), and the Rest of the World (the Middle East & Africa and Latin America). Among all regions, the Asia-Pacific region is anticipated to grow at a considerable CAGR over the forecast period. Regional growth is attributed to the growing geriatric population coupled with sophisticated healthcare infrastructure along with investment in healthcare analytics. Moreover, an increasing number of government initiatives that aim to promote the application of AI, ML, and analytics in healthcare organizations are further contributing to the regional market growth.
The presence of a huge geriatric population which is highly prone to chronic disorders and the rising interest of healthcare organizations towards utilization of predictive analytics for better patient care are some of the prominent factors contributing to the high share of the regional market. The growing funding for predictive analytics platform startups is further contributing to regional market growth. For instance, in July 2021, Cincinnati-based Bon Secours Mercy Health made a strategic investment in healthcare analytics firm Trilliant Health. The health system's goal is to accelerate the development of Trilliant's predictive analytics platform, while also gaining access to data on national and local healthcare trends.
The major companies serving the global healthcare predictive analytics market include: Cerner Corp., Information Builders Inc., IBM Corp., Oracle Corp., and Health Catalyst among others. The market players are considerably contributing to the market growth by the adoption of various strategies, including mergers and acquisitions, partnerships, collaborations, funding, and new product launches, to stay competitive in the market.
For instance, in October 2021, Digital behavioral health company SonderMind acquired Qntfy, a predictive analytics platform that uses mental health biometric data to suggest potential treatment options. SonderMind's platform connects patients with therapists for virtual and in-person visits while managing operations like payments and the telehealth suite. The deal will allow the company to deliver personalized care using data without loading that extra work on mental healthcare providers.
In the same month, Signant Health made a strategic investment in ThoughtSphere, a leading provider of data aggregation and analytics software that helps clinical trial sponsors and contract research organizations (CROs) take control over the increasing volume and variety of clinical trial data. With this investment, Signant now offers customers additional opportunities beyond data capture to cover the full continuum of the patient-data journey, up to the point of regulatory dossier and submission.