AI In Patient Engagement Market Size, Share & Trends Analysis Report By Technology (NLP), By Delivery Type (Cloud-based, On-premise), By Functionality (Enhanced Communication, Predictive Analytics), By Therapeutic Area, By End Use, By Region, And Segment Forecasts, 2024 - 2030
AI In Patient Engagement Market Growth & Trends
The global AI in patient engagement market size is expected to reach USD 23.1 billion by 2030, registering a CAGR of 21.2% from 2024 to 2030, according to a new report by Grand View Research, Inc. The market is driven by the growing demand for AI-based personalized treatment plans and healthcare experiences and the emergence of digital platforms and necessity for omnichannel approach. In addition, the increasing role of artificial intelligence (AI) in enhancing pharmacy efficiency and managing supply chain complexities and business strategies by market players is also driving the market growth. For instance, in May 2024, EmpiRx Health introduced Clinically, a new AI-powered platform that incorporates established technologies. This platform enhances pharmacy claims processing and clinical evaluations and includes a unique population health engine, reinforcing EmpiRx Health's clinical-focused Pharmacy Benefit Management (PBM) approach.
Moreover, the growing prevalence of chronic diseases, such as diabetes and hypertension, necessitates continuous patient engagement & management, which AI can effectively facilitate. Furthermore, AI technologies such as machine learning and natural language processing (NLP) can significantly enhance patient engagement by providing personalized support & interventions. These technologies analyze patient data to offer tailored recommendations, reminders, & educational content, improving adherence and health outcomes. For instance, in March 2022, Uniphore entered into a strategic partnership with SpinSci Technologies, a provider of digital patient engagement solutions, to improve patient access and interaction with healthcare providers. This collaboration integrated Uniphore’s conversational AI and automation technology into SpinSci Technologies Patient Access Care solutions, which are compatible with Electronic Health Records (EHR) systems. The integration aimed to enhance efficiency for contact center agents and streamline patient self-service workflows.
The integration of AI enables healthcare organizations to deliver tailored educational content based on individual patient preferences, health literacy levels, and language proficiency, thereby improving patient engagement & adherence to treatment plans. For instance, in February 2024, Ascend, a startup platform backed by the Accolade Group, announced its intention to deliver educational and healthcare services tailored to specific requirements utilizing AI. As a result of such initiatives, the patient education functionality segment is expected to witness substantial growth, driving overall market expansion in the coming years.
In addition, the market in North America is driven by the integration of AI, enabling healthcare organizations to deliver tailored educational content based on individual patient preferences, health literacy levels, and language proficiency, thereby improving patient engagement & adherence to treatment plans. For instance, in February 2024, Ascend, a startup platform backed by the Accolade Group, announced its intention to deliver educational and healthcare services tailored to specific requirements utilizing AI. As a result of such initiatives, the patient education functionality segment is expected to witness substantial growth, driving overall market expansion in the coming years.
AI In Patient Engagement Market Report Highlights
- On the basis of delivery mode, the cloud-based segment dominated the market and held a revenue share of 72.37% in 2023. Cloud-based solutions provide scalable resources, enabling healthcare organizations to adjust capacity according to demand fluctuations
- On the basis of functionality, enhanced communication held the largest revenue share of 25.84% in 2023. The growing integration of AI-driven solutions in the healthcare sector is driving the need for enhanced communication capabilities
- On the basis of technology, Natural Language Processing (NLP) held the largest revenue share of 88.82% in 2023. The segment growth can be attributed to several benefits offered by NLP models such as improved patient engagement and education through the provision of tailored & comprehensible health information
- On the basis of therapeutic area, chronic disease management held the largest revenue share of 64.87% in 2023. The segment growth can be attributed to the increasing prevalence of chronic conditions such as diabetes, hypertension, and heart disease
- On the basis of end use, the healthcare providers segment held the largest revenue share of 38.31% in 2023. The increasing focus on patient-centric care, coupled with the growing need for effective use of resources and a rising demand for personalized healthcare experiences, is driving healthcare providers to adopt AI for patient engagement
- North America dominated the market with a share of 43.60% in 2023. Key factors contributing to this notable share include the presence of a well-established healthcare infrastructure equipped with advanced technology, increasing awareness of the advantages of integrating AI-enabled patient engagement solutions, and a growing preference for personalized healthcare experiences & treatment plans
- The market is fragmented owing to the presence of several players. This is expected to intensify the competition in the coming years. Key companies are increasingly adopting strategies such as new product development, collaborations, and mergers & acquisitions to strengthen their market position. In June 2024, MedAdvisor Solutions announced the launch of Omnichannel Engagement for Pharmacy powered by THRiV, its AI-enabled platform. This suite enables pharmacies to enhance their digital patient engagement strategies and existing initiatives, including providing paperless options increasingly preferred by patients
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