Population Health Management

Population Health Management

Global Population Health Management Market to Reach US$89.3 Billion by 2030

The global market for Population Health Management estimated at US$40.0 Billion in the year 2023, is expected to reach US$89.3 Billion by 2030, growing at a CAGR of 12.1% over the analysis period 2023-2030. Software Component, one of the segments analyzed in the report, is expected to record a 13.1% CAGR and reach US$61.7 Billion by the end of the analysis period. Growth in the Services Component segment is estimated at 10.2% CAGR over the analysis period.

The U.S. Market is Estimated at US$10.4 Billion While China is Forecast to Grow at 16.2% CAGR

The Population Health Management market in the U.S. is estimated at US$10.4 Billion in the year 2023. China, the world`s second largest economy, is forecast to reach a projected market size of US$22.0 Billion by the year 2030 trailing a CAGR of 16.2% over the analysis period 2023-2030. Among the other noteworthy geographic markets are Japan and Canada, each forecast to grow at a CAGR of 8.1% and 10.1% respectively over the analysis period. Within Europe, Germany is forecast to grow at approximately 9.3% CAGR.

Global Population Health Management (PHM) Market – Key Trends & Drivers Summarized

What Is Population Health Management (PHM) and Why Is It Critical in Modern Healthcare?

Population Health Management (PHM) is a strategic approach in healthcare aimed at improving the health outcomes of a group by monitoring and addressing health indicators on a large scale. PHM involves the collection and analysis of health-related data from various populations, allowing healthcare providers and organizations to design more effective interventions, improve patient outcomes, reduce costs, and manage chronic diseases more efficiently. By focusing on preventative care, early intervention, and coordinated treatment, PHM seeks to shift healthcare systems from reactive, illness-based models to proactive, wellness-oriented models.

One of the key components of PHM is data integration from various sources such as electronic health records (EHRs), claims data, clinical analytics, and patient-reported information. This data is used to assess population health trends, identify at-risk individuals, and implement personalized care plans. PHM systems enable care coordination, ensuring that patients, particularly those with chronic conditions or high-risk factors, receive appropriate care from multiple healthcare providers. This approach is designed to improve patient engagement, enhance care outcomes, and reduce unnecessary hospital readmissions and emergency room visits.

In addition to improving individual patient care, PHM programs help organizations reduce healthcare costs by focusing on preventative measures, reducing the incidence of preventable diseases, and managing chronic conditions more effectively. Governments, healthcare providers, insurers, and employers are increasingly adopting PHM as part of their strategy to address the rising costs of healthcare, improve patient satisfaction, and meet the needs of aging populations and individuals with complex medical conditions.

How Are Technological Advancements Shaping the Population Health Management Market?

Technological advancements are driving significant growth in the PHM market, with innovations in big data analytics, artificial intelligence (AI), telemedicine, and wearable technologies transforming the way population health data is collected, analyzed, and acted upon. One of the most notable trends is the integration of artificial intelligence and machine learning into PHM platforms. AI algorithms can analyze vast amounts of data from different sources, enabling healthcare providers to identify high-risk populations more effectively, predict health outcomes, and personalize care plans. Predictive analytics, for instance, can flag patients at risk of hospitalization, allowing providers to intervene early with targeted care plans and prevent costly hospital admissions.

The rise of cloud-based PHM platforms is another major trend, making data storage, access, and analysis more efficient and scalable. Cloud-based systems enable healthcare organizations to centralize and integrate patient data from multiple sources, including EHRs, wearable devices, and claims data. These platforms offer real-time data analysis and enable better care coordination by allowing multiple healthcare providers to access the same patient data. Cloud computing also supports telehealth services, enabling healthcare providers to reach patients remotely, especially those in underserved or rural areas, while managing their health data securely.

Telemedicine and remote patient monitoring (RPM) technologies are becoming increasingly integral to PHM programs. The COVID-19 pandemic accelerated the adoption of telehealth, and PHM systems have been integrating telemedicine solutions to provide care to patients who are unable to visit healthcare facilities. Remote monitoring devices, such as wearables and smart sensors, allow healthcare providers to track patients’ vital signs, medication adherence, and physical activity in real time. This constant stream of data helps clinicians monitor chronic conditions, such as diabetes and hypertension, and intervene when necessary, reducing hospital readmissions and emergency visits.

Another critical advancement is the use of blockchain technology in PHM to improve data security and interoperability. Blockchain allows for secure, decentralized storage of patient data, ensuring privacy while enabling seamless sharing of data across healthcare networks. This is particularly important as PHM programs rely heavily on the integration of data from different sources, including hospitals, insurance companies, and patients themselves.

Additionally, patient engagement technologies are becoming essential in PHM. Mobile health (mHealth) apps, patient portals, and digital tools empower individuals to take a more active role in managing their health. These tools allow patients to access their health data, track medication, schedule appointments, and communicate with their healthcare providers, fostering better engagement and adherence to treatment plans. Higher patient engagement translates to better health outcomes, which is a core goal of PHM programs.

What Are the Key Applications and End-Use Sectors for Population Health Management?

Population Health Management has broad applications across a variety of sectors, including healthcare providers, insurers, government agencies, and employers, each leveraging PHM systems to improve patient care and reduce costs. In the healthcare provider sector, PHM is used by hospitals, clinics, and physician networks to manage patient populations more efficiently. These systems enable providers to monitor chronic diseases, identify at-risk populations, and deliver personalized care plans that prevent disease progression. PHM programs are particularly critical in managing patients with chronic diseases such as diabetes, heart disease, and asthma, which require ongoing care coordination and monitoring.

The payer sector (insurance companies) is also a major user of PHM programs. Insurers use PHM to manage healthcare costs, reduce unnecessary medical expenses, and improve patient outcomes. By analyzing claims data, insurers can identify trends in patient health, such as rising rates of chronic conditions, and implement wellness programs or preventative care initiatives. PHM systems help payers design value-based care models that reward healthcare providers for keeping patients healthy rather than treating them when they are sick. This shift from fee-for-service to value-based care is increasingly becoming a core strategy for insurers aiming to reduce costs while improving patient outcomes.

Government health agencies and public health organizations utilize PHM programs to monitor public health trends, manage disease outbreaks, and implement population-wide health initiatives. For example, during the COVID-19 pandemic, governments used PHM systems to track infection rates, identify high-risk populations, and implement vaccination campaigns. Public health agencies can use PHM to design programs that target social determinants of health, such as access to clean water, nutritious food, and healthcare services, helping to improve health equity across different population groups.

Employers and corporate wellness programs also use PHM systems to monitor employee health, reduce absenteeism, and improve productivity. By analyzing employee health data, companies can implement wellness initiatives that promote healthy behaviors, prevent chronic diseases, and improve overall workforce health. For example, companies may offer fitness programs, mental health support, or smoking cessation programs based on the needs of their workforce as identified through PHM tools. These programs not only improve employee well-being but also reduce healthcare costs for employers, leading to a healthier and more productive workforce.

The pharmaceutical and life sciences industries are also adopting PHM to identify population health trends and design targeted therapies for specific groups. By analyzing population data, pharmaceutical companies can better understand the prevalence of diseases and develop drugs or treatment plans that meet the needs of specific populations. In addition, clinical trials are benefiting from PHM data by enabling more precise selection of participants based on health indicators, leading to better outcomes and more efficient trials.

What Factors Are Driving Growth in the Population Health Management Market?

Several factors are driving the growth of the population health management market, including the rising prevalence of chronic diseases, increasing healthcare costs, advancements in health data analytics, and government initiatives promoting value-based care. One of the most significant growth drivers is the global rise in chronic diseases, such as diabetes, cardiovascular disease, and obesity, which are placing a tremendous burden on healthcare systems. PHM programs are designed to manage these chronic conditions by focusing on early intervention, coordinated care, and patient engagement, ultimately reducing hospitalizations and emergency visits.

The shift toward value-based care is another major driver of the PHM market. As healthcare systems around the world move away from fee-for-service models, where providers are paid based on the volume of services they deliver, to value-based care models that focus on patient outcomes, PHM systems are becoming increasingly critical. Value-based care requires a deep understanding of patient populations, health trends, and care delivery metrics, all of which are facilitated by PHM programs. By using data analytics to identify gaps in care and intervene early, healthcare providers can improve outcomes while controlling costs, aligning with the goals of value-based care.

Government initiatives and regulatory frameworks are also pushing the adoption of PHM programs. In the United States, the Affordable Care Act (ACA) and Medicare’s Accountable Care Organization (ACO) model incentivize healthcare providers to implement PHM systems that track patient outcomes and reduce costs. Similar initiatives are being rolled out in countries across Europe and Asia, where governments are focusing on improving healthcare quality while managing aging populations and chronic diseases.

Advances in healthcare data analytics and the growing availability of health data from diverse sources are enabling healthcare providers to better understand and manage population health. Big data analytics, AI, and machine learning are allowing providers to analyze patient data in real time, identify at-risk individuals, and design targeted interventions. The proliferation of wearable devices, mobile health apps, and remote monitoring technologies is further driving the growth of the PHM market by providing continuous, real-time health data that can be integrated into PHM platforms for more comprehensive patient monitoring.

Finally, the aging population in many countries is increasing the demand for PHM systems. As the global population ages, the prevalence of chronic diseases and the need for coordinated care for elderly patients is rising. PHM programs can help healthcare providers manage the complex needs of aging populations by providing proactive, patient-centered care that reduces hospitalizations and improves quality of life.

In conclusion, the population health management market is set for robust growth, driven by the rising prevalence of chronic diseases, technological advancements, government initiatives, and the global shift toward value-based care. With its focus on improving patient outcomes, reducing healthcare costs, and promoting preventative care, PHM is becoming a cornerstone of modern healthcare systems worldwide.

SCOPE OF STUDY:

The report analyzes the Population Health Management market in terms of US$ Million by the following Component; Deployment; End-Use, and Geographic Regions/Countries:

Segments:
Component (Software, Services); Deployment (On-Premise, Cloud); End-Use (Healthcare Providers, Healthcare Payers, Other End-Uses)

Geographic Regions/Countries:
World; United States; Canada; Japan; China; Europe (France; Germany; Italy; United Kingdom; Spain; Russia; and Rest of Europe); Asia-Pacific (Australia; India; South Korea; and Rest of Asia-Pacific); Latin America (Argentina; Brazil; Mexico; and Rest of Latin America); Middle East (Iran; Israel; Saudi Arabia; United Arab Emirates; and Rest of Middle East); and Africa.

Select Competitors (Total 34 Featured) -

• Allscripts Healthcare Solutions
• Arcadia
• athenahealth
• Citra Health Solutions
• Conifer Health Solutions
• Cotiviti
• eClinicalWorks
• Enli Health Intelligence
• Epic Systems Corporation
• Evolent Health, Inc.
• Health Catalyst
• HealthEC LLC
• i2i Population Health
• IBM Corporation
• Innovaccer
• Koninklijke Philips
• Lightbeam Health Solutions
• Lumeris
• Medecision
• NextGen Healthcare, Inc.
• Optum
• Orion Health
• SPH Analytics
• Cerner Corporation
• Forward Health Group

Please note: Reports are sold as single-site single-user licenses. Electronic versions require 24-48 hours as each copy is customized to the client with digital controls and custom watermarks. The Publisher uses digital controls protecting against copying and printing is restricted to one full copy to be used at the same location.

The latest version of Adobe Acrobat Reader is required to view the report. Upon ordering an electronic version, the Publisher will provide a link to download the purchased report.

Prior to fulfillment of an order, the client will be required to sign a document detailing the purchase terms for a publication from this publisher.