AI in patient engagement market seen growing to $24.74 billion by 2030

The Business Research Company says the AI in patient engagement market is set to nearly double from 2026 to 2030 as healthcare providers expand use of virtual assistants, predictive tools and cloud platforms. North America led in 2025, while Asia-Pacific is expected to be the fastest-growing region.

Why it matters: - AI tools are becoming a bigger part of how providers communicate with patients, support care plans and improve outcomes. - The market’s projected growth points to rising demand for personalized care, remote monitoring and digital health infrastructure.

What happened: - The Business Research Company published its AI in Patient Engagement Market Global Market Report 2026, covering market size, trends and forecasts through 2035. - The report says the market rose from $9.28 billion in 2025 to $11.28 billion in 2026. - The report projects the market will reach $24.74 billion by 2030. - The report links the 2026-2030 expansion to a 21.7% compound annual growth rate. - A free sample of the report is available here. - The full report is available here.

The details: - AI in patient engagement covers technologies that improve patient experience, optimize care and support health equity. - Use cases include online education, automated reminders and alerts, personalized health information and patient data analysis. - The market’s early growth came from limited availability of engagement tools, manual healthcare management systems, broader electronic health record adoption, greater focus on patient-centered care and early chatbot use for appointment scheduling. - Key growth drivers now include advances in AI and machine learning, computer vision for patient monitoring, investment in digital health infrastructure, personalized engagement and cloud-based healthcare delivery platforms. - The report highlights wider use of AI-powered virtual health assistants. - The report also points to stronger natural language processing for patient data and sentiment analysis. - Other expected trends include more cloud-based patient engagement systems, more AI-enabled population health management tools and better remote monitoring and inpatient care through computer vision. - Personalized healthcare solutions are a major application area because they tailor treatment to medical history, diagnostics, lifestyle and genetic makeup. - In February 2024, the Personalized Medicine Coalition reported that the US Food and Drug Administration approved 16 new personalized treatments for rare diseases in 2023, up from six approvals in 2022.

Between the lines: - The forecast suggests AI in patient engagement is shifting from a support tool to a core layer of digital care delivery. - The fastest-growing use cases appear tied to automation, personalization and continuous monitoring, which are areas where providers can reduce friction and improve follow-up. - North America led the market in 2025 because of early adoption of healthcare technology and a mature digital health base. - Asia-Pacific is expected to be the fastest-growing region as healthcare investment, digital infrastructure and awareness of AI-enabled care expand. - The report also covers South East Asia, Western Europe, Eastern Europe, South America, the Middle East and Africa.

What's next: - The report says future growth will depend on continued AI and machine learning gains, broader cloud adoption and more investment in digital health systems. - The company’s 2026 report package adds market attractiveness scoring, TAM analysis, company scoring matrix graphics, Excel forecasting dashboards, market hotspots infographics, and updated trend graphics and tables. - Businesses and investors watching the sector will likely focus on virtual assistants, remote monitoring and population health tools as the main commercial opportunities.

The bottom line: - AI in patient engagement is moving from an emerging category to a fast-scaling healthcare market, with demand for personalized, connected care driving the next phase of growth.