Categories: Market Research

AI In Patient Engagement Market Growth Trajectory Through 2024-2033

The AI In Patient Engagement Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).

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According to The Business Research Company’s AI In Patient Engagement Global Market Report 2024, The AI in patient engagement market size is expected to see exponential growth in the next few years. It will grow to $16.88 billion in 2028 at a compound annual growth rate (CAGR) of 21.8%. The growth in the forecast period can be attributed to accelerated integration of AI in healthcare systems, expansion of telehealth services, increased emphasis on remote patient monitoring, continued development of AI-powered chatbots, surge in health data analytics. Major trends in the forecast period include adoption of AI for predictive analytics in patient care, integration of AI in electronic health records (EHR) systems, ongoing technological innovations in AI, personalized healthcare solutions, advancements in natural language processing (NLP).

The rising demand for personalized healthcare solutions is expected to propel the growth of AI in the patient engagement market going forward. Personalized healthcare solutions, or personalized medicine, are tailored medical treatments and preventative care strategies that consider an individual’s medical history, diagnostic testing, circumstances, and genetic information. AI in patient engagement is used in personalized healthcare solutions to leverage data analysis and machine learning to tailor treatments, predict patient outcomes, and optimize care plans based on individual genetic, lifestyle, and clinical factors. For instance, in 2022, according to the Personalized Medicine Coalition, a US-based organization that represents innovators, scientists, and patients, the Food and Drug Administration’s Center for Drug Evaluation and Research (CDER) approved 37 new molecular entities (NMEs) in 2022. Further, out of these 37 NMEs, 35 are therapeutic, and among them, 12 are classified as personalized medicines by the Personalized Medicine Coalition (PMC). Therefore, the rising demand for personalized healthcare solutions is driving the growth of AI in the patient engagement market.

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The ai in patient engagement market covered in this report is segmented –

1) By Technology: Chatbots, Natural Language Processing (NLP), Computer Vision
2) By Delivery Type: Cloud-based, On-premise
3) By Therapeutic Area: Health And Wellness, Chronic Disease Management, Other Therapeutic Areas
4) By Application: Outpatient Health Management, In-patient Health Management, Population Health Management, Other Applications
5) By End-Use: Providers, Payers, Other End-Uses

Major companies operating in the AI patient engagement market are developing innovative products with advanced technologies, such as artificial intelligence (AI) patient engagement tools, to gain a competitive edge in the market. Artificial intelligence patient engagement tools are AI-powered patient engagement tools utilized to improve communication, provide personalized care, and actively involve patients in their health management. For instance, in October 2023, ZS Associates, a US-based management consulting services company, launched the AI-powered ZAIDYN Connected Health solution, a comprehensive patient engagement platform that integrates AI-powered virtual assistants, personalized messaging, and actionable insights to improve patient care and experience. The platform is designed to help healthcare organizations scale personalized support across all points of care, ensuring patients receive timely and relevant information and resources.

The ai in patient engagement market report table of contents includes:

1. Executive Summary
2.AI In Patient Engagement Market Characteristics
3.AI In Patient Engagement Market Trends And Strategies
4.AI In Patient Engagement Market analysis
5.AI In Patient Engagement Market Size And Growth
6.AI In Patient Engagement Segmentation
7.AI In Patient Engagement Regional And Country Analysis
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27. AI In Patient EngagementCompetitive Landscape And Company Profiles
28.AI In Patient Engagement Key Mergers And Acquisitions
29.AI In Patient Engagement Future Outlook and Potential Analysis

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