AI In Patient Engagement Market Key Insights, Drivers And Share Analysis – 2024

The ai in patient engagement global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
AI In Patient Engagement Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The AI in patient engagement market size has grown exponentially in recent years. It will grow from $6.28 billion in 2023 to $7.67 billion in 2024 at a compound annual growth rate (CAGR) of 22.1%. The growth in the historic period can be attributed to improved patient communication, rising demand for personalized healthcare, growing adoption of wearable devices, increased focus on patient-centered care, enhanced data security measures, rising chronic disease incidences.
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).
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Scope Of AI In Patient Engagement Market
The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
AI In Patient Engagement Market Overview
Market Drivers –
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.
Market Trends –
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 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
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Regional Insights –
North America was the largest region in the AI in patient engagement market in 2023. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the ai in patient engagement market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Key Companies –
ZS Associates, Health Catalyst, Viz.ai, Ada Health, Zocdoc, PathAI, Kyruus, Memora Health, HealthLoop, Qventus, Lark Health, Your.MD, Buoy Health, HealthTap, Welltok, Pillo Health, K Health, Mediktor, Clarify Health Solutions, Zebra Medical Vision, Sensely, Orbita, Ayasdi, Clinithink, WiserCare, Catalia Health, Conversa Health, Prevencio
Table of Contents
1. Executive Summary
2. AI In Patient Engagement Market Report Structure
3. AI In Patient Engagement Market Trends And Strategies
4. AI In Patient Engagement Market – Macro Economic Scenario
5. AI In Patient Engagement Market Size And Growth
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27. AI In Patient Engagement Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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