April 7, 2025

U.S. Patient Engagement Solutions Market Size to Reach USD 25.21 Billion by 2034

The U.S. patient engagement solutions market size surpassed USD 6.41 billion in 2024 and is projected to reach around USD 25.21 billion by 2034 with a CAGR of 14.68% from 2025 to 2034.

U.S. Patient Engagement Solutions Market Size 2025 to 2034

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U.S. Patient Engagement Solutions Market Key Points

  • The software segment held the largest share of the U.S. patient engagement solutions market by component in 2024.

  • The services segment is expected to experience notable CAGR growth over the forecast period.

  • The chronic diseases segment dominated the market by therapeutic area in 2024.

  • The fitness segment is projected to grow at a significant CAGR in the coming years.

  • The communication segment accounted for the largest market share by functionality in 2024.

  • The patient education segment is anticipated to grow at the highest CAGR during the forecast period.

  • The health management segment led the market by application in 2024.

  • The home healthcare management segment is projected to expand at the fastest CAGR in the forecast period.

  • The providers segment held the major share of the market by end use in 2024.

  • The payers segment is expected to witness considerable growth over the studied period.

  • The web/cloud-based segment contributed the highest market share by delivery type in 2024.

  • The on-premise segment is projected to see substantial growth during the forecast period.

Impact of Artificial Intelligence on the U.S. Patient Engagement Solutions Market

Artificial Intelligence (AI) is transforming the U.S. patient engagement solutions market by enhancing personalization, automation, and real-time decision-making in healthcare. AI-powered chatbots, virtual assistants, and predictive analytics are improving patient interactions by providing instant responses, appointment scheduling, and medication reminders.

Machine learning algorithms analyze patient data to identify health trends, enabling proactive care and early disease detection. AI also enhances remote patient monitoring by processing real-time health data, allowing healthcare providers to offer timely interventions and personalized treatment plans.

AI is also revolutionizing data management and analytics within patient engagement solutions. Natural Language Processing (NLP) and AI-driven insights help healthcare providers analyze large volumes of patient data, improving clinical decision-making and treatment outcomes. Moreover, AI-powered automation reduces administrative burdens, allowing healthcare professionals to focus more on patient care.

The integration of AI with telehealth and wearable devices is further driving engagement by ensuring continuous monitoring and seamless communication between patients and providers. As AI technology continues to evolve, it is expected to play a crucial role in improving patient satisfaction, reducing healthcare costs, and enhancing the overall efficiency of patient engagement solutions in the U.S.

U.S. Patient Engagement Solutions Market Overview

The U.S. patient engagement solutions market is experiencing rapid growth due to the increasing adoption of digital health technologies, telemedicine, and artificial intelligence. These solutions facilitate better communication between healthcare providers and patients, improving care coordination and health outcomes. The demand for personalized healthcare, remote monitoring, and AI-driven analytics is fueling the expansion of this market, making patient engagement a critical aspect of modern healthcare.

Market Scope

Report Coverage Details
Market Size by 2034 USD 25.21 Billion
Market Size in 2025 USD 7.40 Billion
Market Size in 2024 USD 6.41 Billion
Market Growth Rate from 2025 to 2034 CAGR of 14.68%
Base Year 2024
Forecast Period 2025 to 2034
Segments Covered Component, Therapeutic Area, Functionality, Application, End use, Delivery Type, and Regions

Market Dynamics 

Market Drivers

Key drivers of the market include the rising prevalence of chronic diseases, increasing healthcare digitization, and government initiatives promoting patient-centered care. Technological advancements in electronic health records (EHRs), mobile health applications, and AI-powered chatbots are further enhancing patient engagement. The growing emphasis on value-based care and improved patient experiences is also accelerating market growth.

Market Opportunities

Opportunities in the market are driven by the integration of AI, big data analytics, and machine learning into patient engagement platforms. The rise of telehealth services, wearable health devices, and mobile applications is creating new avenues for patient interaction and data collection. Additionally, the push for interoperable healthcare systems is enhancing real-time data exchange, leading to better patient engagement and treatment outcomes.

Market Challenges

Despite its growth, the market faces challenges such as data security concerns, high implementation costs, and resistance from healthcare providers to adopt new technologies. Regulatory compliance and interoperability issues also pose significant obstacles. Ensuring seamless integration of AI-driven engagement tools into existing healthcare workflows remains a challenge for many organizations.

Regional Insights

The U.S. remains a leader in the patient engagement solutions market due to its advanced healthcare infrastructure, strong investments in digital health, and supportive government policies. States with a higher focus on healthcare innovation, such as California and New York, are driving significant growth. Rural areas, however, face challenges in digital adoption, creating disparities in patient engagement across regions.

U.S. Patient Engagement Solutions Market Companies

U.S. Patient Engagement Solutions Market Companies
  • Athenahealth
  • Cerner Corporation (Oracle)
  • IBM
  • Epic Systems Corporation
  • Allscripts Healthcare, LLC
  • McKesson Corporation
  • ResMed
  • Nuance Communications, Inc.
  • Koninklijke Philips N.V.
  • Klara Technologies, Inc.
  • CPSI, Ltd.

Leaders’ Announcements

  • In February 2025, Paul Brient, chief product officer at Athenahealth, announced the Patient Digital Engagement Index (PDEI), which was launched in 2023 and is a novel tool that provides activity measurements and tracking of patients.
  • In February 2025, Casey Pittock, CEO of Smart Meter, announced AI-driven applications integration with companies’ cellular-enabled health monitoring devices to offer easier patient engagement in the company’s care while providing healthcare professionals with crucial data for improved decision-making.

Recent Developments 

  • In March 2025, Health Catalyst, Inc. announced the acquisition of Upfront Healthcare Services, Inc. in a deal valued at USD 86 million, with an additional earnout potential of USD 33.4 million to enhance its patient engagement capabilities.
  • In February 2025, athenahealth announced findings from new research using de-identified data from more than 6,300 practices and over 50 million patients, which shows healthcare practices with higher patient digital engagement experience enhanced financial performance and saw a reduction in time spent on after-hours documentation.
  • In September 2024, AiCure, a leading AI and advanced data analytics company that monitors patient behavior and enables remote patient engagement in clinical trials, launched its patient engagement platform, H.Code, at the 14th Annual DPHARM® conference.

Segments Covered in the Report

By Component

  • Software
  • Standalone
  • Integrated
  • Services
  • Consulting
  • Implementation and Training
  • Support and Maintenance
  • Others
  • Hardware

By Therapeutic Area

  • Chronic Diseases
  • Fitness
  • Women’s Health
  • Mental Health
  • Others

By Functionality

  • Communication
  • Health Tracking and Insights
  • Billing and Payments
  • Administrative
  • Patient Education
  • Others

By Application

  • Social Management
  • Health Management
  • Home Healthcare Management
  • Financial Health Management

By End Use

  • Payers
  • Providers
  • Individual Users

By Delivery Type

  • Web/Cloud-based
  • On-premise

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