AI in Patient Engagement Market Analysis

  • Report ID: 6624
  • Published Date: Oct 30, 2024
  • Report Format: PDF, PPT

AI in Patient Engagement Market Analysis

Software Type (Enhanced Communication, AI-powered Chatbots, Virtual Health assistants, Predictive Analytics Tools, and Patient Portal Solutions)

The enhanced communication segment is anticipated to dominate AI in patient engagement market share of over 34.3% by 2037. Enhanced communication, powered by AI, is crucial in patient engagement. AI-driven chatbots, virtual assistants, multilingual support, and personalized outreach transform patient-provider communication, helping healthcare organizations offer continuous, accessible, and meaningful interactions. By prioritizing enhanced communication, healthcare systems can boost patient engagement, improve satisfaction, and drive better health outcomes in an increasingly digital healthcare landscape.

Additionally, voice recognition advancements are making it easier for patients, especially those with disabilities or limited digital literacy, to interact with healthcare systems. Voice-activated AI tools allow patients to ask questions, receive health updates, and access their health data without needing to type, enhancing accessibility and engagement for a broader range of patients.

Deployment Mode (Cloud-based, Web-based, and On-premises)

By the end of 2037, cloud-based segment in the AI in patient engagement market is poised to cross USD 39.46 billion. By leveraging cloud technology, healthcare providers and organizations can streamline operations, enhance accessibility, and improve patient interactions more efficiently than ever before. Cloud-based AI solutions allow for centralized data storage and processing, making it easier to analyze patient data in real time and across platforms, which is vital for proactive and personalized care.

Cloud-based platforms can integrate data from multiple sources, including EHRs, wearables, and other digital health tools, offering a comprehensive view of the patient’s health for personalized care. Moreover, patients and providers can access cloud-based platforms from anywhere, fostering seamless communication and engagement through mobile devices or web portals.

Our in-depth analysis of the AI in patient engagement market includes the following segments: 

Software Type

  • Enhanced Communication
  • AI-powered Chatbots
  • Virtual Health Assistants
  • Predictive Analytics Tools
  • Patient Portal Solutions
  • Others

Deployment Mode

  • Cloud-based
  • Web-based
  • On-premises

Application

  • Patient Communication
  • Patient Monitoring
  • Patient Engagement Analytics
  • Personalized Care
  • Others

End use

  • Healthcare Facilities
  • Home Healthcare
  • Payors
  • Others
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Author Credits:  Radhika Pawar


  • Report ID: 6624
  • Published Date: Oct 30, 2024
  • Report Format: PDF, PPT

Frequently Asked Questions (FAQ)

The global AI in patient engagement market registered a valuation of USD 6.03 million in 2024 and is positioned to expand at a CAGR of 20.5% during the forecast period, i.e., 2025-2037.

The global AI in patient engagement sector registered a profitable valuation of USD 6.03 million in 2024 and is poised to reach USD 68.13 billion in 2037 expanding at a profitable CAGR of 20.5% during the forecast period, i.e., 2025-2037.

The major players in the market are Innovaccer, Inc, EnlivenHealth (a subdivision of Omnicell, Inc.), EmpiRx Health, LLC., IBM, Huma, mPulse Mobile, and AllazoHealth.

The enhanced communication segment is projected to hold the largest market share of 34.3% by the end of 2037. Enhanced communication, powered by AI, is crucial in patient engagement. AI-driven chatbots, virtual assistants, multilingual support, and personalized outreach transform patient-provider communication, helping healthcare organizations offer continuous, accessible, and meaningful interactions.

The North America AI in patient engagement market will be valued at USD 29.9 billion during the forecast period. The market's growth is attributed to the growing demand for personalized healthcare, rising patient expectations for digital engagement, and technological advancements, including AI-powered chatbots, predictive analytics, and virtual assistants.
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