Global AI In Patient Engagement Market Share Analysis, Size, Major Key Players, Growth Trends | ZS Associates, Health Catalyst, Viz.ai, Ada Health, Zocdoc

Overview and Scope
AI in patient engagement refers to the use of artificial intelligence (AI) technologies to improve patient care, enhance patient experience, and promote health equity. AI can be leveraged in various ways to engage patients, such as providing online support and education, automating reminders and alerts, providing personalized health information, and analyzing patient data to identify trends and patterns and optimize healthcare delivery.

Sizing and Forecast
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.

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Segmentation & Regional Insights
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

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.

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Major Driver Impacting Market Growth
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.

Key Industry Players
Major companies operating in the ai in patient engagement market report are 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

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 – Macro Economic Scenario

5. Global AI In Patient Engagement Market Size and Growth

…..

32. Global AI In Patient Engagement Market Competitive Benchmarking

33. Global AI In Patient Engagement Market Competitive Dashboard

34. Key Mergers And Acquisitions In The AI In Patient Engagement Market

35. AI In Patient Engagement Market Future Outlook and Potential Analysis

36. Appendix

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