HealthcareServices

Market Analysis on AI In Patient Engagement Industry – Insights for Corporate Strategy and R&D

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What Is the Forecast for the AI In Patient Engagement Market from 2024 to 2025?

The market size for AI in patient engagement has seen a significant growth surge in the preceding years. There will be a progression from a market value of $7.67 billion in 2024 to an expected worth of $9.34 billion in 2025, with a compound annual growth rate (CAGR) of 21.8%. Factors attributed to the growth in the historical period include better patient communication, increasing need for personalized healthcare, wider use of wearable technology, greater emphasis on patient-focused care, upgraded data protection measures, and the rise in chronic disease cases.

What Is the Projected Market Size of the AI In Patient Engagement Market?

The market size of AI in patient engagement is set to experience substantial growth in the coming years, with projections indicating a rise to $20.6 billion by 2029, growing at a CAGR of 21.8%. This expected surge in the forecast period is largely due to the fast-paced incorporation of AI into healthcare systems, the booming sector of telehealth services, a growing focus on remote patient monitoring, continuous advancements in AI-based chatbots, and the proliferation of health data analytics. The period also anticipates trends such as the application of AI in prescient patient care analytics, introduction of AI into Electronic Health Records (EHR) systems, ongoing technical developments in AI, and progress in personalized healthcare solutions and Natural Language Processing (NLP).

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Who are the Major Competitors in the AI In Patient Engagement Market Outlook?

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

What Is Fueling Growth in the AI In Patient Engagement Market?

The anticipated increase in demand for customized healthcare options is set to fuel the expansion of AI within the patient engagement market. Having personalized treatments and preventive care tactics built on the patient’s medical background, diagnostic testings, fundamental genetic information, and personal circumstances is what personalized health care delivers. Data assessment and machine learning are utilized in AI-designed patient engagement for the provision of personalized healthcare solutions. They tailor treatment plans, make patient outcome predictions, and fine-tune care procedures based on a blend of genetic, lifestyle, and medical specifics on an individual level. For instance, in 2022, the Food and Drug Administration’s Center for Drug Evaluation and Research (CDER) authorized 37 novel molecular entities (NMEs), according to reports by the Personalized Medicine Coalition, a U.S.-based group which includes innovators, scientists, and patients. Of these new NMEs, 35 possess therapeutic properties, and the Personalized Medicine Coalition (PMC) has categorized 12 as personalized medicines. As such, the increasing demand for tailored healthcare solutions is giving a positive push to AI’s role in the patient engagement market.

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Which AI In Patient Engagement Market Segments Are Growing the Fastest?

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

Subsegments:

1) By Chatbots: Virtual Health Assistants, Appointment Scheduling Bots, Symptom Checkers

2) By Natural Language Processing (NLP): Text Analysis Tools, Sentiment Analysis Applications, Voice Recognition Systems

3) By Computer Vision: Image Analysis for Diagnostics, Patient Monitoring Systems, Augmented Reality For Medical Training

Which Industry Trends Are Shaping the Future of the AI In Patient Engagement Market?

Top-tier companies active in the domain of AI patient engagement are working on creating innovative products leveraging cutting-edge technologies such as AI patient engagement tools, to stay ahead in the market. These engagement tools, powered by artificial intelligence, are utilized to enhance communication, deliver personalized medical care, and engage patients actively in managing their health. As an illustration, ZS Associates, a management consulting firm based in the US, introduced the AI-driven ZAIDYN Connected Health solution in October 2023. This exhaustive patient engagement platform combines AI-enhanced virtual assistants, personalized messages, and actionable insights to boost patient care and experience. The platform is engineered to assist healthcare institutions in scaling personalized assistance across all care points, ensuring patients are provided with pertinent and timely information and resources.

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Which Countries Are Leading the AI In Patient Engagement Market?

North America was the largest region in the AI in patient engagement market in 2024. 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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This Report Delivers Insight On:

1. How big is the ai in patient engagement market, and how is it changing globally?

2. Who are the major companies in the ai in patient engagement market, and how are they performing?

3. What are the key opportunities and risks in the ai in patient engagement market right now?

4. Which products or customer segments are growing the most in the ai in patient engagement market?

5. What factors are helping or slowing down the growth of the ai in patient engagement market?

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