AI In Patient Engagement Market (By Technology: NLP, Chatbots; By End-use: Providers, Payers; By Delivery Type; By Functionality; By Therapeutic Area; By Application) - Global Industry Analysis, Size, Share, Growth, Trends, Revenue, Regional Outlook and Forecast 2024-2033

The global AI in patient engagement market size was estimated at around USD 6.14 billion in 2023 and it is projected to hit around USD 41.41 billion by 2033, growing at a CAGR of 21.03% from 2024 to 2033. The intersection of artificial intelligence (AI) and healthcare has given rise to a transformative era in patient engagement. AI technologies are revolutionizing how healthcare providers interact with patients, offering innovative solutions to enhance communication, personalize care, and improve overall patient outcomes.

Key Pointers

• North America held the largest revenue share of 59% in 2023.
• Asia Pacific is anticipated to grow at the noteworthy CAGR of 24.08% from 2024 to 2033. 
• By Delivery Type, the cloud-based segment registered the maximum market share of 79% in 2023.
• By Technology, the chatbots segment led the market with largest revenue share of 42% in 2023. The segment is also anticipated to grow at the CAGR of 21.68% from 2024 to 2033.
• By Functionality, the communication segment generated the maximum market share of 37% in 2022.
• By Functionality, the health tracking & insights segment is anticipated to grow the fastest CAGR of 22.56% between 2024 to 2033.
• By Application, the outpatient health management segment captured the maximum market share of 41% in 2023.
• By Therapeutic Area, the chronic disease management segment contributed more than 47% of revenue share in 2023. 

AI In Patient Engagement Market Growth 

The AI in patient engagement market is experiencing significant growth due to several key factors. The rising demand for personalized healthcare solutions, coupled with the prevalence of chronic diseases, has accelerated the adoption of AI technologies. These advanced tools enable healthcare providers to analyze patient data in real-time, tailoring treatments and interventions to individual needs, thereby enhancing patient outcomes and satisfaction. Additionally, the industry's shift towards preventive healthcare and value-based care models has spurred the integration of AI-driven predictive analytics.

Report Scope of the Ai In Patient Engagement Market

AI In Patient Engagement Market Dynamics

Drivers

• Rising Demand for Personalized Healthcare: The increasing demand for personalized healthcare solutions has propelled the adoption of AI in patient engagement. AI technologies enable healthcare providers to deliver tailored treatments and interventions, improving patient outcomes and satisfaction.
• Preventive Healthcare Initiatives: The healthcare industry's focus on preventive measures and early intervention has led to the integration of AI-driven predictive analytics. Machine learning algorithms analyze vast datasets to identify high-risk patients, allowing healthcare professionals to intervene proactively, reducing hospitalizations, and healthcare costs.

Restraints

• Ethical Considerations: The ethical use of AI in patient engagement, especially in decision-making processes, raises moral dilemmas. Determining the appropriate level of AI involvement in critical healthcare decisions, balancing human judgment with machine intelligence, and ensuring transparency in AI algorithms are essential ethical considerations that healthcare providers and AI developers must address.
• Resistance to Change: Healthcare professionals and patients may exhibit resistance to adopting new AI technologies. Skepticism, lack of familiarity, and fear of job displacement among healthcare workers can impede the successful implementation of AI solutions. Overcoming this resistance requires comprehensive training, education, and a gradual shift in mindset.

Opportunities

• Predictive Analytics for Preventive Care: AI-driven predictive analytics offer insights into patient behavior and health patterns. By identifying high-risk patients, healthcare providers can intervene early, preventing complications and hospitalizations. This proactive approach not only improves patient outcomes but also reduces healthcare costs significantly.
• Virtual Health Assistants and Chatbots: Virtual health assistants and chatbots equipped with AI capabilities offer instant support, answering patient queries, providing medication reminders, and offering basic medical advice. These virtual interactions enhance patient engagement, ensuring that patients have access to information and support whenever they need it.

Delivery Type Insights

The cloud-based segment held the largest revenue share of 79% in 2023. Cloud-based delivery has gained significant traction due to its flexibility, scalability, and accessibility. Healthcare providers are increasingly turning to cloud-based AI solutions, as they offer the advantage of remote access to patient data and engagement tools. This model allows healthcare professionals to access vital information securely from any location, fostering seamless communication and collaboration among medical teams. Furthermore, cloud-based AI solutions facilitate real-time data analysis and updates, ensuring that healthcare providers have access to the most recent patient information, leading to informed decision-making and personalized patient engagement strategies.

On-premise delivery of AI in patient engagement solutions remains relevant for organizations with specific security and compliance requirements. Certain healthcare institutions prefer to maintain control over their data by hosting AI applications on their own servers within their facilities. On-premise solutions provide a higher level of data governance, allowing organizations to adhere to strict regulatory guidelines and internal policies. This model offers a sense of security for healthcare providers, ensuring that sensitive patient information is kept within their physical boundaries.

Technology Insights

The chatbots segment dominated the market with largest revenue share of 42% in 2023. The segment is also expected to register the fastest CAGR of 21.65% over the forecasted period. Chatbots, powered by AI algorithms, serve as virtual assistants capable of engaging in real-time conversations with patients. These intelligent chatbots offer a user-friendly interface, enabling patients to ask questions, seek medical advice, and receive instant responses. By simulating human conversation, chatbots provide a seamless and interactive experience, enhancing patient engagement and satisfaction.

• For instance, in January 2020, QliqSOFT unveiled an innovative healthcare chatbot that addresses patient engagement challenges promptly.

Functionality Insights

The communication segment led the market with the revenue share of 37% in 2023. AI-driven communication tools facilitate seamless interactions between healthcare providers and patients, transcending geographical boundaries and time constraints. Through virtual health assistants and chatbots, patients can engage in real-time conversations, seeking medical advice, scheduling appointments, and receiving timely updates about their healthcare plans.

The health tracking & insights segment is expected to grow the fastest CAGR of 22.56% over the forecasted period. Health Tracking & Insights have become integral components of AI-driven patient engagement solutions. These functionalities empower patients to monitor their health parameters and gain valuable insights into their well-being. AI-powered applications can track vital signs, physical activity, and medication adherence, providing patients with a comprehensive overview of their health status.

Application Insights

The outpatient health management segment generated the maximum market share of 41% in 2023. Outpatient care constitutes a substantial portion of healthcare services, encompassing various medical consultations, diagnostic procedures, and follow-up treatments. AI-driven patient engagement solutions tailored for outpatient management are instrumental in optimizing these processes.

The others segment is expected to expand at the highest CAGR of 21.37% over the forecasted period. AI in patient engagement finds application in various other healthcare scenarios, forming a diverse category of solutions that cater to specific needs beyond outpatient management. In telemedicine, AI-powered virtual consultations offer patients access to healthcare professionals remotely, ensuring timely medical advice without the need for physical visits.

Therapeutic Area Insights

The chronic disease management segment contributed the largest market share of 47% in 2023. Chronic Disease Management stands as a critical domain where AI technologies are making a substantial impact. Patients suffering from chronic diseases require continuous, personalized care and support. AI-driven solutions in chronic disease management empower healthcare providers to monitor patients' conditions in real-time. Through predictive analytics, these technologies can identify patterns and potential complications, allowing for early intervention and personalized treatment plans.

The health & wellness segment anticipated to grow at the noteworthy CAGR of 21.45% over the forecasted period. Health & Wellness, AI-driven patient engagement solutions have taken a proactive approach to healthcare. These technologies promote preventive measures, encouraging individuals to adopt healthier lifestyles and make informed choices about their well-being. AI applications analyze user data, including physical activity, dietary habits, and sleep patterns, to provide personalized insights and recommendations.

End-use Insights

The providers end-use segment dominated the global with largest revenue share of 48% in 2023. By integrating AI applications into their systems, healthcare providers can streamline administrative tasks, allowing staff to focus on delivering high-quality medical services. Virtual health assistants and chatbots equipped with AI capabilities serve as valuable tools in engaging patients, addressing inquiries, and providing essential information.

• For instance, in December 2021, Northwell Health implemented a patient engagement software in the U.S. developed by Playback Health at specific clinical sites.

The payers segment is estimated to register the fastest CAGR of 21.35% over the forecast period. Payers, comprising insurance companies and other healthcare payers, are also recognizing the potential of AI technologies in transforming patient engagement. These entities are leveraging AI-driven applications to optimize various aspects of healthcare services, including claims processing, risk assessment, and member engagement.

Regional Insights

North America held the largest revenue share of 58% in 2023. In North America, particularly in the United States, robust investments in healthcare technology and a strong focus on patient-centered care have driven significant growth in the adoption of AI-powered patient engagement solutions. The region benefits from a well-established healthcare infrastructure, fostering collaborations between technology developers and healthcare providers, leading to innovative AI applications for patient engagement.

• For instance, in August 2023, ZextGen Healthcare, a provider of healthcare technology solutions, launched its new patient engagement platform, NextGen Luma.

Asia Pacific is anticipated to grow at the noteworthy CAGR of 24.08% from 2024 to 2033.  Asia-Pacific, encompassing diverse economies such as China, Japan, India, and Australia, represents a burgeoning market for AI in patient engagement. Rapid urbanization, increasing healthcare expenditure, and a growing awareness of the benefits of AI-driven healthcare solutions have fueled the adoption of patient engagement technologies in the region.

AI In Patient Engagement Market Report Segmentations:

By Delivery Type

• Cloud Based
• On-premise

 By Technology

• NLP (Natural Language Processing)
• Chatbots
• Computer Vision

By Functionality

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

By Application

• Population Health Management
• Outpatient Health Management
• In-Patient Health Management
• Others

By Therapeutic Area

• Health & Wellness
• Chronic Disease Management
• Others
• By End-use
• Payers
• Providers
• Others

By Region

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East & Africa