AI in patient engagement market is anticipated to grow at a CAGR of 21.0% during the forecast period (2024-2031). The market is driven by demand for personalized healthcare plans and AI for data analytics. The AI improves patient engagement and care management by predicting health outcomes, identifying high-risk patients, and enhancing interaction between providers and patients.

Market Dynamics

Increasing Accessibility of Healthcare

By eliminating the gap between patients and healthcare professionals, AI-powered patient engagement technologies such as telemedicine and virtual health assistants are increasingly driven by healthcare services to underserved areas. According to the World Economic Forum - Patient First Health with Generative AI: Reshaping the Care Experience report, in January 2024,  the a global shortage of healthcare workers, with an estimated 15 million shortfall, including 10 million doctors. By 2030, this figure is projected to decrease to 10 million. The majority of this shortage, approximately 95%, is concentrated in low- and middle-income countries (LMICs). 

Growing demand for personalized solutions

The demand for personalized healthcare is on the rise, with AI-powered solutions enabling healthcare providers to deliver such experiences at scale. For instance, in October 2023, ZS, launched an AI-powered ZAIDYN Connected Health solution, part of the ZAIDYN by ZS platform. ZAIDYN Connected Health enables pharmaceutical companies, healthcare providers, and payers to innovate by identifying treatment gaps and unmet needs, enhancing patient engagement, and improving health outcomes. It includes Health Insights, which delivers personalized messages and AI-driven interventions. 

Market Segmentation

Our in-depth analysis of the global AI in patient engagement market includes the following segments by delivery type, application, and end-user:

• Based on delivery type, the market is sub-segmented into cloud-based, and on-premise.

• Based on application, the market is augmented into population health management, outpatient health management, in-patient health management, and others (clinical trial recruitment and management, and patient feedback and experience management).

• Based on end-user, the market is sub-segmented into hospitals and clinics, healthcare providers, healthcare payers, and others (pharmaceutical and life sciences companies, and medical, and device manufacturers).

Cloud Based is Projected to Emerge as the Largest Segment

Based on the deployment, the AI in patient engagement market is sub-segmented into on-premises and cloud-based. Among these, the cloud-based sub-segment is expected to hold the largest share of the market. The primary factor supporting the segment's growth includes the increasing demand for enabling advanced analytical capabilities and enabling innovative ideas for patient care and population health management, AI and machine learning technologies, particularly integrated with cloud-based platforms, have revolutionized the healthcare industry. For instance, in October 2023, CipherHealth launched a new strategic initiative to leverage Google Cloud’s Vertex AI platform to revolutionize hospital operations and patient care. It utilizes Google Cloud's Vertex AI for machine learning and AI models, leveraging secure, interoperable data for data science integration across various products and care services.

Healthcare Providers Sub-segment to Hold a Considerable Market Share

AI-powered chatbots help patients 24/7, increasing satisfaction and engagement by offering prompt responses to questions, appointment booking, and access to medical information. For instance, in November 2023, Artera and Hyro partnered to launch a chatbot-style AI assistant for healthcare providers' websites, providing 24/7 24/7 patient assistance based on existing information. The tool aimed to address labor-related issues and improve patient engagement. Additionally, in March 2023, Videra Health introduced Ava, an AI-powered digital health companion designed to improve patient engagement and care delivery for healthcare providers and payers. It aimed to enhance patient compliance, awareness, and involvement in medical treatment ultimately improving patient outcomes.

Regional Outlook

The global AI in patient engagement market is further segmented based on geography including North America (the US, and Canada), Europe (UK, Italy, Spain, Germany, France, and the Rest of Europe), Asia-Pacific (India, China, Japan, South Korea, and Rest of Asia), and the Rest of the World (the Middle East & Africa, and Latin America). 

Utilizing AI to Drive Influential Healthcare Growth in India (Asia-Pacific Region)

In order to satisfy the needs of consumers and improve digital engagement and personalized healthcare experiences, healthcare providers have made investments in artificial intelligence (AI) technologies. According to the World Economic Forum, in April 2022, it projected AI expenditure in India is estimated to reach $11.78 billion by 2025, and it is anticipated to contribute approximately $1 trillion to India's economy by 2035. Furthermore, AI is currently being incorporated into diagnostic algorithms used for disease screenings, including cancer, diabetic retinopathy, and cardiovascular disease. It is essential to adopt a measured approach that balances the implementation of AI in healthcare with the preservation of meaningful human control and informed consent to ensure sustained success in the long run.

Global AI in Patient Engagement Market Growth by Region 2024-2031

North America Holds Major Market Share

Among all the regions, North America holds a significant share owing to the growing demand for AI-powered patient involvement, and improved health results have grown possible due to the digitalization of medical records, the growth of wearable technology, and the Internet of Things (IoT) sensors. According to the International Business Machines (IBM) in July 2023, the AI healthcare market is experiencing significant growth, with a projected value of $187 billion by 2030, compared to $11 billion in 2021. This growth can be attributed to factors such as advancements in machine learning algorithms, increased access to data, affordable hardware, and the emergence of 5G technology. These advancements enable AI and ML technologies to efficiently analyze large volumes of health data, including medical records, clinical studies, and genetic information, at a much faster rate than humans. As a result, there have been significant alterations to the functioning of healthcare providers, hospitals, pharmaceutical and biotechnology companies, and other relevant stakeholders.

Market Players Outlook

*Note: Major Players Sorted in No Particular Order

The major companies serving the global AI in patient engagement market include Ada Health GmbH, Cerner Corp., Nuance Communications, Inc., IBM Watson Health, Veradigm LLC, and others. and others. and others. The market players are increasingly focusing on business expansion and product development by applying strategies such as collaborations, mergers, and acquisitions to stay competitive in the market. For instance, in January 2024, Fabric, acquired GYANT, it enabled faster patient intake, shorter virtual visit wait times, and reduced documentation burden. The platform improves patient access, scheduling appointments, and managing health through self-service tools, offered a seamless and personalized experience.

The Report Covers

• Market value data analysis of 2023 and forecast to 2031.
• Annualized market revenues ($ million) for each market segment.
• Country-wise analysis of major geographical regions.
• Key companies operating in the global AI in patient engagement market. Based on the availability of data, information related to new product launches, and relevant news is also available in the report.
• Analysis of business strategies by identifying the key market segments positioned for strong growth in the future.
• Analysis of market-entry and market expansion strategies.
• Competitive strategies by identifying ‘who-stands-where’ in the market.