市场调查报告书
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1466428
医疗保健分析市场:按技术、组件、部署、应用程式、最终用户划分 - 2024-2030 年全球预测Healthcare Analytics Market by Technology (Descriptive Analytics, Predictive Analytics, Prescriptive Analytics), Component (Services, Software), Deployment, Application, End-User - Global Forecast 2024-2030 |
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2023年医疗保健分析市场规模预计为362.9亿美元,预计2024年将达到449.3亿美元,复合年增长率为24.07%,到2030年将达到1643.3亿美元。
医疗保健分析分析与医疗保健服务相关的资料,以提供有助于改善患者护理和健康结果的见解。适当的医疗保健资料分析使医疗保健和医疗专业人员能够做出更具成本效益的决策,从而影响患者照护。资料可用于改善患者健康和临床结果。随着技术的进步,医疗保健产业正在采用电子健康记录(EHR) 和分析来简化医疗流程。世界各国政府都致力于遏制与支付相关的医疗保健诈欺,而医疗保健分析技术可以协助该行业监控诈欺。然而,与现有模型的整合、互通性和有限的资料隐私条款正在阻碍产品的普及。基于人工智慧和巨量资料的先进医疗分析技术可以透过更加重视安全来帮助解决这些问题。此外,全球对智慧医院设施的投资正在增加,医疗分析软体和服务的部署预计将加速。市场参与者透过引入各种医疗保健分析套件(包括预测分析和临床决策支援系统)来增加其在医疗保健领域的影响力。
主要市场统计 | |
---|---|
基准年[2023] | 362.9亿美元 |
预测年份 [2024] | 449.3亿美元 |
预测年份 [2030] | 1643.3亿美元 |
复合年增长率(%) | 24.07% |
技术 扩大预测和说明分析的技术进步,以实现更好的患者照护和系统效能
说明分析挖掘历史资料来识别病患结果、护理服务品质和业务效率的模式。在医疗保健领域,说明分析用于管理患者关係、了解人员配置和资金需求以及监控设备和药品销售。预测分析使用机器学习和人工智慧技术来识别医疗资料中的模式,这些模式可以预测未来的患者结果和护理服务品质。预测建模可帮助医疗机构更准确地预测患者需求,并针对特定人群(例如患有慢性病或有再入院风险的患者)制定有针对性的干预措施。规范性分析有助于预测医疗保健结果,同时提案采取哪些措施来优化患者结果和业务效率。处方模型使用基于多个来源的资料的先进演算法,包括人口统计、病历、接受的治疗和提供者行为。处方模型会推荐最佳治疗计划或提案对组织流程进行更改,以帮助改善医疗实践。
组件:医疗保健分析服务和软体,可增强医疗保健提供者的工作流程并支援资料主导的决策。
医疗保健分析服务包括帮助组织建立解决方案来实现其当前和未来业务目标的咨询。这些服务包括应用程式开发、研究报告、预测模型、模拟和其他优化医疗保健业务的分析解决方案。除了医疗保健分析专家提供的服务之外,医疗保健专业人员还可以使用许多强大的软体工具。这些工具允许使用者收集、储存、分析、视觉化和解释大量资料,并获得有关医疗保健组织绩效的宝贵见解。流行的软体程式包括资料透视表、神经网路、资料探勘演算法和人工智慧系统,可用于临床分析和医院营运优化。资料采集软体包括从电子健康记录、患者调查、实验室测试、医院就诊、申请记录、保险申请和其他来源收集资料,然后利用统计技术和演算法从资料中揭示相关性和见解,以改善医疗保健结果。
部署:云端基础的医疗保健服务在学术机构和生物技术应用中的需求日益增长,且具有较低的初始成本和扩充性。
医疗保健分析服务提供咨询,帮助组织建立解决方案来实现其当前和未来的业务目标。这些服务包括应用程式开发、研究报告、预测模型、模拟和其他优化医疗保健业务的分析解决方案。除了医疗保健分析专家提供的服务之外,医疗保健专业人员还可以使用许多强大的软体工具。这些工具允许使用者收集、储存、分析、视觉化和解释大量资料,并获得有关医疗保健组织绩效的宝贵见解。流行的软体程式包括资料透视表、神经网路、资料探勘演算法和人工智慧系统,可用于临床分析和医院营运优化。资料收集软体从电子健康记录、患者调查、实验室测试、医院就诊、申请记录、保险申请和其他资讯来源收集资料,并使用统计技术和演算法从收集的资料中得出相关性和见解,并改善医疗保健结果。
医疗保健分析在临床和人口健康分析应用中的广泛部署
临床分析使用资料和分析来确定患者照护的改进并提供可行的见解。这个概念已被广泛使用,特别是由于预测分析在临床实践中的高度部署。财务分析着重于提高医院环境中具有成本效益的资源利用率和财务绩效。这包括衡量治疗的成本效益、了解报销模式以及确定降低成本的机会。营运和管理分析透过分析 IT、财务和人力资源的职能成本来优化营运效率。人口健康分析从人口观点研究医疗保健,重点关注不同类别患者和地区的健康结果。检视各种疾病的发生率和治疗方法随时间变化的趋势,并评估政策和倡议对特定族群的影响。
最终用户:医疗保健支付者和生物技术公司扩大医疗保健分析的使用
学术机构使用分析来深入了解医疗问题、开发循证治疗方法并设计研究,而生物技术行业则使用医疗保健分析来简化药物开发、确定新产品的潜在市场并优化定价。此外,生技公司可以使用来自各种资讯来源的个人化资料,包括电子病历、穿戴式装置、公共卫生资料库和环境资料,以就产品开发和行销宣传活动做出明智的决策。分析资料可帮助医疗保健付款人最大限度地提高业务效率并降低成本,同时提供优质照护。医疗保健分析可协助保险公司评估大量复杂的健康和医疗资料,例如申请、医疗记录、诊断和治疗、药房记录、实验室测试结果和其他相关患者资料,以提高业务。包括医院和诊所在内的医疗保健提供者正在利用分析透过改善决策、供应链管理和财务绩效来实现个人化患者照护。透过这种方式,医疗保健分析可以为医疗保健行业的所有相关人员做出更明智的决策。
区域洞察
美洲的医疗保健分析市场是创新主导的,受到资料科学技术进步的持续研究活动的推动,并更加关注该地区的医院,以提供更好的患者治疗效果并节省成本。该地区拥有许多成熟的巨量资料技术供应商,他们不断致力于扩展其医疗保健知识以升级其现有产品组合。医疗保健分析的采用在亚太地区正在缓慢而稳定地成长,许多数位转型倡议和医疗保健新兴企业为突破性的诊断解决方案获得了新的资金。在亚洲,各国政府越来越认识到采用电子病历和人口分析来扩大资料的可用性,以便更好地监测区域健康状况。欧洲医疗保健分析的使用预计将大幅增加,其标誌是该地区医疗保健基础设施的进步以及扩大智慧医院的倡议。 Horizon Europe 和 EU4Health倡议等计划正在帮助改善医疗保健领域的数位化和分析。
FPNV定位矩阵
FPNV 定位矩阵对于评估医疗保健分析市场至关重要。我们检视与业务策略和产品满意度相关的关键指标,以对供应商进行全面评估。这种深入的分析使用户能够根据自己的要求做出明智的决策。根据评估,供应商被分为四个成功程度不同的像限:前沿(F)、探路者(P)、利基(N)和重要(V)。
市场占有率分析
市场占有率分析是一种综合工具,可以对医疗保健分析市场中供应商的现状进行深入而深入的研究。全面比较和分析供应商在整体收益、基本客群和其他关键指标方面的贡献,以便更好地了解公司的绩效及其在争夺市场占有率时面临的挑战。此外,该分析还提供了对该行业竞争特征的宝贵见解,包括在研究基准年观察到的累积、分散主导地位和合併特征等因素。这种详细程度的提高使供应商能够做出更明智的决策并制定有效的策略,从而在市场上获得竞争优势。
1. 市场渗透率:提供有关主要企业所服务的市场的全面资讯。
2. 市场开拓:我们深入研究利润丰厚的新兴市场,并分析其在成熟细分市场的渗透率。
3. 市场多元化:提供有关新产品发布、开拓地区、最新发展和投资的详细资讯。
4.竞争评估与资讯:对主要企业的市场占有率、策略、产品、认证、监管状况、专利状况、製造能力等进行全面评估。
5. 产品开发与创新:提供对未来技术、研发活动和突破性产品开发的见解。
1. 医疗保健分析市场的市场规模和预测是多少?
2.在医疗保健分析市场的预测期内,需要考虑投资哪些产品、细分市场、应用程式和领域?
3. 医疗保健分析市场的技术趋势和法规结构是什么?
4.医疗保健分析市场主要供应商的市场占有率为何?
5. 进入医疗保健分析市场的适当型态和策略手段是什么?
[190 Pages Report] The Healthcare Analytics Market size was estimated at USD 36.29 billion in 2023 and expected to reach USD 44.93 billion in 2024, at a CAGR 24.07% to reach USD 164.33 billion by 2030.
Healthcare analytics involves analyzing data related to healthcare services to gain insights that can be used to improve patient care and health outcomes. Hospitals and healthcare professionals can make more cost-effective decisions that impact patient care with proper healthcare data analysis. The data can be used to improve patient health and clinical outcomes. The healthcare industry is transforming technology advances, adopting electronic health records (EHR) and analytics to streamline healthcare processes. Governments worldwide focus on controlling healthcare fraud related to payments, and healthcare analytics technologies can assist the industry in monitoring fraud activities. However, integration and interoperability with existing models and their limited data privacy provisions impede product penetration. Advanced healthcare analytics technologies based on AI & Big Data with a better focus on safety can assist in addressing these issues. Moreover, increased investments in smart hospital facilities worldwide are expected to accelerate the deployment of healthcare analytics software and services. Market players are introducing different suites of products within healthcare analytics, such as predictive analytics or clinical decision support systems, to elevate their presence across the healthcare sector.
KEY MARKET STATISTICS | |
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Base Year [2023] | USD 36.29 billion |
Estimated Year [2024] | USD 44.93 billion |
Forecast Year [2030] | USD 164.33 billion |
CAGR (%) | 24.07% |
Technology: Growing technological advancements in predictive and prescriptive analytics for better patient care and system performance
Descriptive analytics involves mining historical data to identify patterns in patient outcomes, quality of care delivery, and operational efficiency. In healthcare, descriptive analytics is used for patient relationship management, understanding staffing and funding needs, or monitoring equipment or pharmaceutical sales. Predictive analytics uses ML and AI techniques to identify patterns in healthcare data that may predict future patient outcomes or quality of care delivery. Predictive modeling can help healthcare organizations anticipate patient needs more accurately and develop targeted interventions for specific populations, such as those at risk for chronic disease or readmissions. Prescriptive analytics helps in predicting healthcare results while also suggesting actions that should be taken to optimize patient outcomes or operational efficiency. Prescriptive models use advanced algorithms based on data from multiple sources, including demographics, medical history, treatments received, and provider behavior. Prescriptive models recommend optimal treatment plans or suggest changes to organizational processes that can aid in improving medical practices.
Component: Pertaining advantage of healthcare analytics services and software for enhancing the workflow of healthcare providers in making data-driven decisions
Healthcare analytics services involve consulting with organizations to help them build solutions to address their current and future business objectives. These services often include the development of applications, research reports, predictive models, simulations, and other analytical solutions that optimize healthcare operations. In addition to the services provided by healthcare analytics experts, many powerful software tools are available for healthcare professionals to use. These tools allow users to collect, store, analyze, visualize, and interpret large amounts of data to gain valuable insights into their healthcare organization's performance. Popular software programs include pivot tables, neural networks, data mining algorithms, and artificial intelligence systems that can be used for clinical analysis and hospital operational optimization. Data capture software includes collecting data from electronic medical records, patient surveys, lab tests, hospital visits, billing records, insurance claims, and other sources, which then utilizes statistical methods and algorithms to uncover correlations and insights from collected data to improve healthcare outcomes.
Deployment: Increasing demand for cloud-based healthcare services in academic organizations & biotechnology applications providing lower upfront costs and scalability
Healthcare analytics services involve consulting with organizations to help them build solutions to address their current and future business objectives. These services often include the development of applications, research reports, predictive models, simulations, and other analytical solutions that optimize healthcare operations. In addition to the services provided by healthcare analytics experts, many powerful software tools are available for healthcare professionals to use. These tools allow users to collect, store, analyze, visualize, and interpret large amounts of data to gain valuable insights into their healthcare organization's performance. Popular software programs include pivot tables, neural networks, data mining algorithms, and artificial intelligence systems that can be used for clinical analysis and hospital operational optimization. Data capture software includes collecting data from electronic medical records, patient surveys, lab tests, hospital visits, billing records, insurance claims, and other sources, which then utilizes statistical methods and algorithms to uncover correlations and insights from collected data to improve healthcare outcomes.
Application: Extensive deployment of healthcare analytics in the clinical and population health analytics
Clinical analytics involves using data and analytics to identify areas of improvement in patient care, providing actionable insights. This concept has grown to be widely used, particularly with the high deployment of predictive analytics in clinical practice. Financial analytics focuses on cost-effective resource utilization and improving financial performance in hospital settings. This can involve measuring the cost-effectiveness of treatments, understanding reimbursement models, and identifying opportunities for cost savings. Operational & administrative analytics optimize operational efficiency by analyzing functional costs across IT, finance, and HR departments. Population health analytics approaches healthcare from a population perspective, focusing on health outcomes in different categories of patients or regions. It involves examining trends in various disease rates or treatments over time and assessing the impact of policies or initiatives on specific people.
End-User: Growing utilization of healthcare analytics by healthcare payers and biotechnological companies
Academic organizations are using analytics to gain insights into healthcare issues, develop evidence-based treatments, and design research studies, while the biotechnology industry is applying healthcare analytics to increase the efficiency of drug development, identify potential markets for new products, and optimize pricing. Moreover, biotechnology companies can make informed decisions about product development and marketing campaigns with personalized data from various sources such as EHRs, wearables, public health databases, environmental data, and more. Analytics data help healthcare payers to maximize operational efficiency and reduce costs while still providing quality care, which increasingly focuses on preventive care rather than reactive interventions. Insurance companies can leverage healthcare analytics to enhance their business operations and assess large volumes of complex health and medical data such as claims, medical records, diagnoses and treatments, pharmacy records, laboratory test results, and other relevant patient data. Healthcare providers, including hospitals & clinics, use analytics to personalize patient care through improved decision-making, supply chain management, and financial performance. As such, healthcare analytics enables more informed decisions across all stakeholders in the healthcare industry.
Regional Insights
The healthcare analytics market in the Americas is highly innovation-driven, characterized by consistent research activities on advancing data science technologies and a growing focus on the region's hospitals to offer better patient outcomes and cost savings. The region is home to many established big data technology providers constantly working on expanding their healthcare knowledge to upgrade their existing portfolio. The Asia-Pacific region observes a slow and steady growth in healthcare analytics adoption, with many digital transformation initiatives and healthcare startups obtaining new funds for breakthrough diagnostic solutions. Increasing recognition from governments has been observed regarding deploying EHR and population analytics in the Asian region to expand data availability for better monitoring of regional health. Europe is expected to observe a vital increase in the use of healthcare analytics, characterized by the rising number of advances in healthcare infrastructure in the region and a growing number of initiatives for expanding smart hospitals. Programs such as Horizon Europe and the EU4Health initiative have supported digitalization and improved analytics in healthcare.
FPNV Positioning Matrix
The FPNV Positioning Matrix is pivotal in evaluating the Healthcare Analytics Market. It offers a comprehensive assessment of vendors, examining key metrics related to Business Strategy and Product Satisfaction. This in-depth analysis empowers users to make well-informed decisions aligned with their requirements. Based on the evaluation, the vendors are then categorized into four distinct quadrants representing varying levels of success: Forefront (F), Pathfinder (P), Niche (N), or Vital (V).
Market Share Analysis
The Market Share Analysis is a comprehensive tool that provides an insightful and in-depth examination of the current state of vendors in the Healthcare Analytics Market. By meticulously comparing and analyzing vendor contributions in terms of overall revenue, customer base, and other key metrics, we can offer companies a greater understanding of their performance and the challenges they face when competing for market share. Additionally, this analysis provides valuable insights into the competitive nature of the sector, including factors such as accumulation, fragmentation dominance, and amalgamation traits observed over the base year period studied. With this expanded level of detail, vendors can make more informed decisions and devise effective strategies to gain a competitive edge in the market.
Key Company Profiles
The report delves into recent significant developments in the Healthcare Analytics Market, highlighting leading vendors and their innovative profiles. These include Alteryx, Inc., Apixio, Inc., Arcadia Solutions, LLC, Athenahealth, Inc., Cisco Systems, Inc., CitiusTech Inc., Clarify Health Solutions, Inc., ClosedLoop.ai Inc., Cloudticity, L.L.C, Cotiviti, Inc., Epic Systems Corporation, GE HealthCare Technologies Inc., Google LLC by Alphabet Inc., Health Catalyst, Inc., HealthVerity, Inc., HOKUTO Inc., Inovalon Holdings, Inc., International Business Machines Corporation, IQVIA Inc., McKesson Corporation, MedeAnalytics, Inc., Microsoft Corporation, Optum, Inc., Oracle Corporation, RIB Datapine GmbH, SAP SE, SAS Institute, Inc., Veradigm LLC, Verinovum, Virgin Pulse, and Wipro.
Market Segmentation & Coverage
1. Market Penetration: It presents comprehensive information on the market provided by key players.
2. Market Development: It delves deep into lucrative emerging markets and analyzes the penetration across mature market segments.
3. Market Diversification: It provides detailed information on new product launches, untapped geographic regions, recent developments, and investments.
4. Competitive Assessment & Intelligence: It conducts an exhaustive assessment of market shares, strategies, products, certifications, regulatory approvals, patent landscape, and manufacturing capabilities of the leading players.
5. Product Development & Innovation: It offers intelligent insights on future technologies, R&D activities, and breakthrough product developments.
1. What is the market size and forecast of the Healthcare Analytics Market?
2. Which products, segments, applications, and areas should one consider investing in over the forecast period in the Healthcare Analytics Market?
3. What are the technology trends and regulatory frameworks in the Healthcare Analytics Market?
4. What is the market share of the leading vendors in the Healthcare Analytics Market?
5. Which modes and strategic moves are suitable for entering the Healthcare Analytics Market?