Revenue Forecast

The revenue estimate for the base year 2023 is $29,538.5 million, with a CAGR of 11.4% projected for the study period 2023–2029.

The Impact of the Top 3 Strategic Imperatives on the Population Health Management (PHM) Industry

Disruptive Technologies

• The explosion of healthcare data from various sources, such as electronic health records (EHRs), wearables, genomics, and social determinants of health (SDoH), presents a rich opportunity for analytics.

• Payers and providers recognize the value of leveraging this data to identify disease patterns, improve diagnostics, and make more informed treatment decisions.
• PHM software vendors are now focused on enhancing their analytical capabilities. By integrating machine learning, deep learning, and natural language processing (NLP) into their platforms, they can offer more sophisticated risk stratification, predictive modeling, and clinical decision support tools.
• These advancements enable providers to identify at-risk patients, predict healthcare needs, and personalize care plans more effectively.

Internal Challenges

• Providers worldwide struggle with operational, financial, and clinical challenges and workforce scarcity. Payers as well are challenged with rising healthcare costs and shrinking margins.

• PHM software vendors must demonstrate the return on investment (ROI) of their solutions.
• This involves showcasing how their software helps identify unnecessary expenditures, streamline care processes, and optimize resource utilization. Providing tools for cost benchmarking and performance improvement is crucial.

Transformative Megatrends

• PHM software providers must develop robust risk assessment and analytics capabilities. This includes predicting patient health risks, identifying care gaps, and analyzing cost drivers.

• Vendors can position themselves as strategic partners by helping healthcare providers transition from volume to value-based care (VBC).

Scope of Analysis

• This research service provides an overview of the global population health management (PHM) market.

• The study’s revenue forecast involves an end-user-level breakdown of the global market during the study period.

• The top-end users of PHM IT solutions are hospitals and health systems, primary care/physician practices, payers, and public health organizations.
• The study also covers revenue forecasts by solution type, which includes software and services.
• The study delivers detailed analyses of important business models, the regulatory outlook, cost structures, and the competitive landscape.
• The research offers a description of the top growth opportunities for the global PHM market in the context of user relevance and calls to action.

Segmentation by Region

Global

• North America (NA)

  • North America includes the United States and Canada.
• Europe
  • Europe includes the United Kingdom, Germany, Italy, France, Spain, Benelux (Belgium, the Netherlands, and Luxembourg), and Scandinavia (Denmark, Norway, Sweden, and Finland).
• Asia-Pacific (APAC)
  • APAC includes China, the Philippines, Indonesia, India, Malaysia, Singapore, Japan, Vietnam, South Korea, Taiwan, Australia, and Thailand.
• Latin America (LATAM) & the Middle East and Africa (MEA)
  • This encompasses countries not in the other 3 regions.

Competitive Environment

Growth Drivers

• VBC Solutions: The transition from volume- to value-based care models drives the need for PHM software that supports risk stratification, care gap identification, and quality improvement initiatives. These solutions enable providers to thrive in value-based reimbursement structures.

• Internet of Things (IoT) and Remote Monitoring: The growing adoption of IoT and wearable devices enables remote patient monitoring and real-time data collection. PHM software integrates with these devices to track patients' vital signs, medication adherence, and health behaviors, facilitating proactive care and early intervention.

• Advanced Analytics and AI: The expansion of IoT, telehealth, and remote patient monitoring (RPM) is generating a huge amount of patient health data, which creates the need for AI-driven advanced analytics. Demand for PHM software that analyzes vast amounts of data via AI and ML for risk stratification, predictive analytics, and treatment plan optimization is growing.

• Aging Population and Chronic Disease Management: Globally, the rising burden of chronic conditions and the aging population as well as a scarcity of resources to address this burden present the need for an effective PHM strategy for preventive measures that support risk mitigation and optimal resource utilization.