市场调查报告书
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1533620
人口健康管理市场规模、份额和成长分析:按组成部分、按交付模式、按最终用户、按地区 - 行业预测,2024-2031 年Population Health Management Market Size, Share, Growth Analysis, By Component (Software, Services), By Mode of Delivery (On-premises, Cloud-based), By End-User (Healthcare Providers, Healthcare Payers), By Region - Industry Forecast 2024-2031 |
2022年全球人口健康管理市场规模将为334.9亿美元,预测期间(2024-2031年)复合年增长率为19.93%,从2023年的401.8亿美元增加到2031年的401.8亿美元。
由于越来越注重提高医疗品质和降低成本,人口健康管理市场正在经历快速成长和转型。该领域需要管理人群的健康状况和风险。推动市场扩张的关键因素包括慢性病的增加、人口老化以及对具有成本效益的医疗保健解决方案的需求不断增加。电子健康记录(EHR)、资料分析和远端医疗技术进步透过促进病患资料评估、风险评估和介入策略,大大支持人口健康管理工作。此外,基于价值的护理和责任护理组织等倡议继续推动对人口健康管理工具的需求。该市场竞争激烈,许多公司提供各种软体平台、咨询服务和外包护理管理解决方案。随着医疗保健公司意识到人口健康管理可以提高护理品质、提高业务效率并降低成本,预计该市场将继续成长。
Global Population Health Management Market was worth USD 33.49 Billion in 2022 and it is expected to increase from USD 40.18 Billion in 2023 to USD 171.94 Billion by 2031 at a CAGR of 19.93% over the forecast period (2024-2031).
The population health management market is experiencing rapid growth and transformation, driven by the increasing focus on enhancing healthcare quality and reducing costs. This field involves managing both the health conditions and risks of entire populations. Key factors propelling market expansion include the rising prevalence of chronic diseases, an aging population, and a growing demand for cost-effective healthcare solutions. Advances in technologies such as electronic health records (EHRs), data analytics, and telehealth have significantly supported population health management efforts by facilitating patient data assessment, risk evaluation, and intervention strategies. Additionally, initiatives like value-based care and accountable care organizations continue to boost the demand for population health management tools. The market is highly competitive, with numerous players offering a range of software platforms, consulting services, and outsourced care management solutions. As healthcare organizations increasingly recognize the benefits of population health management in improving care quality, operational efficiency, and cost reduction, the market is poised for continued growth in the coming years.
Top-down and bottom-up approaches were used to estimate and validate the size of the Global Population Health Management 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 analyzed to get the final quantitative and qualitative data.
Global Population Health Management Market Segmental Analysis
The global population health management market is segmented into Component, Mode of Delivery, End-user, and region. Based on Component, the market is segmented into Software and Services. Based on Mode of Delivery, the market is segmented into On-premises and Cloud-based. Based on End-user, the market is segmented into Healthcare Providers, Healthcare Payers, and Others. By region the market is segmented into North America, Europe, Asia-Pacific, Latin America, and Middle East and Africa.
Drivers of the Global Population Health Management Market
A major driver of growth in the population health management market is the rising prevalence of chronic diseases such as diabetes, cardiovascular conditions, and respiratory illnesses. The increasing burden of these chronic conditions has created a pressing need for enhanced population health interventions. Population health management solutions provide healthcare organizations with essential tools to identify individuals at risk, prevent adverse events, and manage long-term care for chronic diseases effectively. By addressing these health challenges, population health management not only improves overall health outcomes but also helps reduce healthcare costs over time.
Restraints in the Global Population Health Management Market
A significant challenge facing the global population health management market is the complexity of data integration and interoperability. Effective population health management depends on the seamless integration of diverse health data sources, such as electronic health records, health information exchanges, and wearable technologies. However, the healthcare industry struggles with issues related to integrating disparate data sources, ensuring data protection, and standardizing interoperability. Problems like inconsistent data formats and interconnection difficulties impede the effective use of population health management solutions, limiting their adoption and efficiency. Addressing these issues through improved interoperability and data harmonization efforts is crucial for unlocking the full potential of population health management.
Market Trends of the Global Population Health Management Market
The integration of Artificial Intelligence (AI) into population health management is an emerging trend that is gaining traction. By leveraging advanced data analytics and predictive models, AI enhances the ability to deliver personalized healthcare. This technology allows for more precise tailoring of treatments and improved prevention strategies, thereby elevating the overall effectiveness of healthcare services. AI's role in analyzing vast amounts of data enables healthcare providers to make more informed decisions and implement targeted interventions. As a result, patient care is not only more customized but also more efficient, leading to improved health outcomes and optimized care standards.