AI In Patient Engagement Market Size, Share & Trends Analysis Report By Technology (NLP, Chatbots), By End-use (Providers, Payers), By Delivery Type, By Functionality, By Therapeutic Area, By Application, And Segment Forecasts, 2023 - 2030

Market Size & Trends

The global AI in patient engagement market size was estimated at USD 5.1 billion in 2022 and is expected to expand at a compound annual growth rate (CAGR) of 21.0% from 2023 to 2030. The market is primarily driven by the growing demand for personalized treatment plans and healthcare experiences, tailored to patient interactions based on individual data & preferences. Furthermore, the growing availability of healthcare data drives the adoption of artificial intelligence (AI) for data analytics, enabling the prediction of health outcomes, identifying high-risk patients, and delivering actionable insights to enhance patient engagement and care management. AI in patient engagement refers to the use of AI technologies and techniques to improve the interaction between healthcare providers, healthcare systems, and patients.

Patient engagement is a crucial aspect of healthcare, as it involves patients actively participating in their healthcare journey, making informed decisions, and adhering to treatment plans. AI can play a significant role in enhancing various aspects of patient engagement, including:

• Personalized Communication: AI can analyze patient data, such as medical history, preferences, and demographics, to tailor communication and education materials. This ensures patients receive relevant information and reminders based on their specific needs

• Chatbots and Virtual Assistants: AI-powered chatbots and virtual assistants can provide patients with instant responses to their queries, appointment scheduling, medication reminders, and general health information. These tools are available 24/7, improving accessibility and engagement

• Predictive Analytics: AI can analyze patient data to predict health outcomes and identify patients at risk of certain conditions. Healthcare providers can use this information to engage with high-risk patients and provide early interventions proactively

• Remote Monitoring: AI-enabled devices can continuously monitor patients' vital signs and health metrics, sending real-time data to healthcare providers. This allows for timely interventions and reduces the need for in-person visits

• Behavioral Analysis: AI can analyze patient behavior patterns to detect non-compliance with treatment plans or potential mental health issues. Providers can then intervene to address these issues and improve patient engagement

• Telemedicine and Telehealth: AI can enhance telemedicine platforms by improving the quality of video consultations, assisting with medical image analysis, and facilitating remote diagnostics

Technological advancements and the increased need to curb rising healthcare costs make AI an attractive solution for healthcare providers, enabling automation and operational efficiency. The shift toward patient-centered care has emphasized improved communication and engagement, aligning with AI's potential to bridge the provider-patient gap. The ongoing digital transformation in healthcare, accelerated by the pandemic, underscores the role of AI in enhancing virtual care quality and patient experiences. Moreover, AI's capacity for personalized medicine, predictive analytics, and patient empowerment drives its adoption. Regulatory support, increased data accessibility, and the quest for a competitive edge further propel AI's integration with substantial investment in research and development.

In the context of the COVID-19 pandemic, the demand for remote healthcare solutions has accelerated, reaffirming AI's pivotal role in enhancing patient engagement and transforming healthcare delivery. The COVID-19 pandemic brought about significant demand for AI in the patient engagement market, reshaping healthcare delivery worldwide. The rapid adoption of telehealth and virtual care solutions emerged as a primary response to minimize in-person contact and mitigate the virus's spread. AI played a significant role in this shift, elevating the quality of virtual consultations, enabling remote diagnostics, and enhancing patient engagement within telehealth interactions.

The demand for AI-powered patient engagement solutions surged as healthcare providers introduced innovative solutions to support patients in virtual care. Furthermore, the pandemic accelerated the deployment of remote patient monitoring devices, with AI taking a crucial role in interpreting patient data collected beyond traditional clinical settings. AI-driven analytics empowered healthcare providers to remotely track and manage patient health, reducing the exposure risk to COVID-19 and encouraging patients to become more engaged in their self-care. Simultaneously, AI-powered chatbots and virtual therapists were instrumental in disseminating accurate and current COVID-19 information, alleviating the burden on healthcare communication channels, and ensuring patients had access to reliable information.

Another significant pandemic effect was the increased mental health challenges, prompting the deployment of AI-powered chatbots and virtual therapists to provide mental health support, counseling, and crisis intervention. This enhanced patient engagement in addressing mental health concerns. In addition, AI contributed to vaccine distribution by aiding in population identification, appointment scheduling, and issuing reminders. This streamlined vaccination procedures and actively engaged patients by guiding their vaccination journey. In addition to these direct effects, the pandemic underscored the importance of data security, privacy, and regulatory flexibility.

AI solutions were employed to support data security measures, ensuring the protection of patient data during remote interactions. Regulatory bodies introduced temporary changes to facilitate the use of telehealth and digital health solutions, further encouraging the adoption of AI in patient engagement. Certain regulatory adjustments that made it easier to use telehealth became permanent, such as the Centers for Medicare & Medicaid Services expanding the list of telehealth services covered by reimbursement codes in the 2021 physician fee schedule. While the pandemic accelerated these trends, ongoing challenges include ensuring equitable access to AI-powered healthcare solutions, addressing data privacy and security issues, and maintaining the momentum of digital healthcare transformation post-pandemic.

Delivery Type Insights

The cloud-based segment dominated the market and held the largest revenue share of 77.8% in 2022. The segment is projected to expand further at the fastest CAGR of 21.2% retaining its leading position throughout the forecasted period. The growth of cloud-based delivery type can be attributed to its scalability, remote accessibility, and flexibility, making it an ideal choice for healthcare providers seeking cost-efficient and agile solutions. Cloud platforms facilitate seamless data integration from various sources, ensuring the analysis of patient data for personalized engagement.

They also offer regular updates, robust data security measures, and compliance certifications, alleviating maintenance burdens and addressing privacy concerns. Cloud-based solutions promote collaboration, connectivity, and effective communication among healthcare professionals and patients while harnessing advanced machine learning and AI capabilities for data-driven insights. Moreover, their predictable cost structures and disaster recovery plans contribute to their popularity among healthcare organizations seeking to optimize patient engagement while streamlining operations.

By harnessing artificial intelligence, healthcare providers can streamline administrative processes, personalize patient interactions, and improve overall practice efficiency. These advancements can create a patient-centric healthcare environment that enhances communication, accessibility, and overall quality of care. These solutions are pivotal in enhancing the overall patient experience by offering efficient communication channels, remote monitoring capabilities, and data-driven insights.

Regional Insights

North America held the largest revenue share of 57.8% in 2022 owing to the involvement of major industry players, rising utilization of mHealth (mobile health) & electronic health record (EHR) systems, and substantial investments by prominent companies in patient engagement software. Furthermore, high awareness levels among stakeholders and increased government expenditures in the healthcare sector are anticipated to expedite this growth further. For instance, in August 2023, ZextGen Healthcare, a provider of healthcare technology solutions, launched its new patient engagement platform, NextGen Luma.

This innovative platform is designed to enhance patient interactions and experiences by offering a seamless, user-friendly interface. With features like automated appointment reminders, secure messaging, and real-time access to health information, NextGen Luma aims to improve patient engagement & satisfaction while streamlining healthcare workflows. Asia Pacific is expected to witness the fastest growth rate of 24.0% from 2023 to 2030.

The market is poised for substantial expansion in the foreseeable future, primarily driven by several factors. These include the increasing prevalence of internet and smartphone usage, a considerable patient demographic, ongoing enhancements in healthcare infrastructure and service quality, and the active participation of indigenous industry players. Furthermore, the economic progress observed in nations like India and China is significantly boosting the region's overall growth prospects. These factors collectively create a favorable environment for robust market growth in the coming years.

Technology Insights

The chatbots segment dominated the market and held the largest revenue share of 40.6% in 2022. The segment is also expected to register the fastest CAGR of 21.6% over the forecasted period. Chatbots have emerged as a dominant force in the AI in the patient engagement market, revolutionizing the healthcare industry by providing real-time, automated patient interactions. Their 24/7 availability, immediate responses, and ability to handle a wide range of tasks, from appointment scheduling to health information dissemination, have made them a preferred choice for healthcare providers looking to enhance patient engagement, streamline processes, and improve overall healthcare experiences. AI-driven chatbots for patient engagement promise to transform healthcare, offering the potential to improve patient results and lower expenses.

These smart chatbots enable efficient communication between patients and healthcare providers, deliver personalized care experiences, simplify administrative tasks, and ensure the security of patient data. As healthcare continues its digital evolution, integrating AI-powered chatbots into patient engagement approaches can empower healthcare organizations to excel in this tech-driven era. For instance, in January 2020, QliqSOFT unveiled an innovative healthcare chatbot that addresses patient engagement challenges promptly. This advanced chatbot leverages AI technology to streamline communication between healthcare providers and patients, offering real-time solutions for enhanced patient engagement. With its instant responsiveness and personalized interaction capabilities, this chatbot has the potential to significantly improve the overall patient experience while optimizing healthcare communication and efficiency.

Functionality Insights

The communication segment dominated the market and held the largest revenue share of 35.0% in 2022. Communication-focused AI solutions facilitate seamless and personalized interactions between healthcare providers and patients, enhancing engagement and overall healthcare experiences. These technologies encompass chatbots, virtual assistants, and telehealth solutions, enabling immediate responses to patient inquiries, appointment scheduling, health education, and real-time monitoring. With their ability to improve accessibility, streamline communication, and offer personalized care, communication-focused AI functionalities have become a cornerstone of patient engagement strategies, revolutionizing the healthcare landscape.

The health tracking & insights segment is projected to register the fastest CAGR of 22.5% over the forecasted period. This segment is characterized by AI-powered tools and devices that continuously monitor patients' health metrics and behaviors, generating valuable insights for healthcare providers and patients. These solutions empower proactive healthcare interventions, personalized treatment plans, and improved patient engagement by offering real-time data analysis and predictive capabilities. The surge in demand for remote patient monitoring and data-driven healthcare approaches, particularly in the wake of the COVID-19 pandemic, has fueled the accelerated growth of the health tracking and insights segment, making it a dynamic and pivotal component of AI-driven patient engagement strategies.

Therapeutic Area Insights

The chronic disease management segment dominated the market and held the largest revenue share of 44.6% in 2022. The substantial share of the chronic disease management segment can be attributed to several factors. These include the growing elderly population in significant markets, the increasing incidence of chronic health conditions, and the accelerated adoption of digital technologies due to the impact of the COVID-19 pandemic. Patient engagement solutions, particularly those driven by AI, play a pivotal role in addressing chronic diseases by aiding in their prevention, early detection, and ongoing management.

These solutions support patients in collaborating with healthcare providers and empower them to take a more active role in self-managing their conditions. The health & wellness segment will record the fastest CAGR of 21.4% over the forecasted period. The segment growth is driven by various factors, including the increasing elderly population in significant markets, the widespread occurrence of chronic illnesses, and the accelerated adoption of digital technologies spurred by the COVID-19 pandemic. AI-driven patient engagement solutions play a crucial role in promoting health and wellness by aiding in the prevention and early detection of health issues and supporting individuals in managing their well-being, either in collaboration with healthcare providers or through self-care practices.

Application Insights

The outpatient health management segment dominated the market and held the largest revenue share of 38.9% in 2022. This segment has emerged as a pivotal force, shaping the landscape of patient engagement solutions. With a focus on managing healthcare outside traditional clinical settings, it plays a key role in delivering personalized care, facilitating remote monitoring, and enhancing patient interactions. The increasing demand for outpatient health management solutions, driven by factors like the growing prevalence of chronic diseases and the adoption of telehealth, underscores the segment's significance in revolutionizing patient engagement and healthcare delivery.

The others segment is likely to register the fastest CAGR of 21.3% over the forecasted period. This segment encompasses various innovative solutions and emerging applications beyond the prominent categories, and it is characterized by its agility and adaptability in addressing evolving healthcare needs. With a surge in novel AI-driven technologies and creative approaches to patient engagement, the others application segment is projected to have substantial growth in the coming years, underscoring the ongoing innovation and diversity within the AI-powered patient engagement landscape.

End-use Insights

The providers end-use segment dominated the global market and held the largest revenue share of 47.3% in 2022. Healthcare providers cater to the highest number of patients and serve as the initial point of contact for a wide range of health issues, from general inquiries to specialized consultations. Consequently, they represent the largest group of users embracing patient engagement solutions. For instance, in December 2021, Northwell Health implemented a patient engagement software in the U.S. developed by Playback Health at specific clinical sites.

This deployment aimed to enhance patient mobility and facilitate the real-time sharing of medical information at the point of care, all while ensuring compliance with stringent health data security standards. The payers segment is estimated to register the fastest CAGR of 21.3% over the forecasted period. The expansion of the payers segment can be credited to the rising acceptance of solutions for engaging patients and customers, which facilitate extensive coverage and support the delivery of value-based healthcare services. To bolster this growth, payers are strategizing to oversee patient care and establish connections with patients throughout every phase of their treatment journey.

Key Companies & Market Share Insights

In response to the growing demand and technological advancements, many companies and businesses have entered the market. These companies are investing heavily in innovation, research, and development to create cutting-edge AI solutions tailored to the specific needs of healthcare providers and patients. Startups are introducing innovative ideas and solutions that leverage AI to solve various challenges in patient engagement, ranging from improving medication adherence to enhancing telehealth experiences. Established tech giants are also expanding their presence in the healthcare sector by developing AI-powered healthcare platforms and services. For instance:

• In July 2022, PatientBond and Vizient joined forces to provide digital tools for behavioral change in healthcare. This patient engagement collaboration seeks to assist academic medical centers (AMCs), pediatric providers, community hospitals, and similar institutions in addressing care gaps, minimizing readmissions, and achieving other healthcare objectives

• In January 2021, Nuance Communications, Inc. launched an AI-driven virtual assistant platform for patient engagement to revamp voice and digital interactions throughout the patient's healthcare experience. Leveraging healthcare knowledge and acclaimed intelligent engagement technology relied upon by 85 percent of Fortune 100 companies globally, this advanced platform seamlessly incorporates and expands the functionalities of electronic health records, customer relationship management, and Patient Access Center systems

• In April 2023, Notable, a prominent leader in intelligent automation for the healthcare sector, introduced Patient AI. It conducts ongoing evaluations of an extensive array of data points within medical records and external data sources, enabling the development of a comprehensive understanding of each patient's clinical and social context. These insights are then automatically transformed into personalized recommendations presented to the patient through adaptive design without requiring staff intervention. The outcome is that patients are engaged at precisely the right moments to prompt action toward achieving their health objectives.

AI In Patient Engagement Market Report Scope

Global AI In Patient Engagement Market Report Segmentation

This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest trends in each sub-segment from 2018 to 2030. For this study, Grand View Research has segmented the global AI in patient engagement market report based on delivery type, functionality, application, technology, therapeutic area, end-use, and region:

• Delivery Type Outlook (Revenue, USD Million, 2018 - 2030)

  • Cloud Based

  • On-premise

• Technology Outlook (Revenue, USD Million, 2018 - 2030)

  • NLP (Natural Language Processing)

  • Chatbots

  • Computer Vision

• Functionality Outlook (Revenue, USD Million, 2018 - 2030)

  • Communication

  • Health Tracking & Insights

  • Billing & Payments

  • Administrative

  • Patient Education

  • Others

• Therapeutic Area Outlook (Revenue, USD Million, 2018 - 2030)

  • Health & Wellness

  • Chronic Disease Management

  • Others

• Application Outlook (Revenue, USD Million, 2018 - 2030)

  • Population Health Management

  • Outpatient Health Management

  • In-Patient Health Management

  • Others

• End-use Outlook (Revenue, USD Million, 2018 - 2030)

  • Payers

  • Providers

  • Others

• Regional Outlook (Revenue, USD Million, 2018 - 2030)

  • North America

    • U.S.

    • Canada

  • Europe

    • UK

    • Germany

    • France

    • Italy

    • Spain

    • Denmark

    • Sweden

    • Norway

  • Asia Pacific

    • Japan

    • China

    • India

    • Australia

    • Thailand

    • South Korea

  • Latin America

    • Brazil

    • Mexico

    • Argentina

  • Middle East & Africa

    • South Africa

    • Saudi Arabia

    • UAE

    • Kuwait