AI In Patient Engagement Solutions Market
Get a free sample of this report
Your inquiry has been received. Our team will reach out to you with the required details via email. To ensure that you don't miss their response, kindly remember to check your spam folder as well!
Form submitted successfully!
Error submitting form. Please try again.
Request Sectional Data
Your inquiry has been received. Our team will reach out to you with the required details via email. To ensure that you don't miss their response, kindly remember to check your spam folder as well!
Form submitted successfully!
Error submitting form. Please try again.
AI in Patient Engagement Solutions Market size was valued at USD 5 billion in 2023 and is anticipated to witness growth at a CAGR of 20.1% from 2024 to 2032. The market is experiencing growth driven by the rising demand for personalized healthcare coupled with the growing adoption of digital health solutions.
As patients increasingly seek healthcare experiences tailored to their unique needs, AI-powered tools are becoming essential in delivering personalized care. These solutions leverage data analytics, machine learning, and predictive modeling to provide customized treatment plans, improve patient outcomes, and enhance overall satisfaction.
Report Attribute | Details |
---|---|
Base Year: | 2023 |
AI In Patient Engagement Solutions Market size in 2023: | USD 5 Billion |
Forecast Period: | 2024 - 2032 |
Forecast Period 2023 - 2032 CAGR: | 20.1 |
2023 Value Projection: | USD 25.7 Billion |
Historical Data for: | 2021 - 2023 |
No of Pages: | 110 |
Tables, Charts & Figures: | 153 |
Segments Covered: | Software Type, Deployment Mode, Application, End-use, and Region |
Growth Drivers: |
|
Pitfalls Challenges: |
|
AI in patient engagement enables healthcare providers to offer individualized communication, reminders, and health recommendations based on a patient's medical history, preferences, and lifestyle. This personalized approach not only fosters stronger patient-provider relationships but also encourages patient adherence to treatment plans, leading to better health outcomes.
Additionally, AI-driven personalized healthcare aligns with the broader shift towards value-based care, where the focus is on patient outcomes rather than the volume of services. As a result, healthcare organizations are increasingly adopting AI in patient engagement solutions to meet the growing expectations for tailored care, driving the market's expansion.
AI in patient engagement solutions refers to advanced technology platforms and tools that utilize artificial intelligence to enhance the interaction between healthcare providers and patients. By automating routine tasks, providing real-time insights, and facilitating proactive health management, AI in patient engagement aims to create a more efficient, patient-centered healthcare experience.
The rapid evolution of AI technologies has enabled healthcare providers to offer more personalized, efficient, and proactive care, significantly enhancing patient engagement. AI-powered solutions can analyse vast amounts of patient data, providing insights that help tailor healthcare delivery to individual patient needs, thus improving patient outcomes and satisfaction.
Based on software type, the market is segmented into enhanced communication, AI-powered chatbots, virtual health assistants, predictive analytics tools, patient portal solutions, and other software types. The enhanced communication segment held a dominant market share of 31.4% in 2023.
Based on deployment mode, the AI in patient engagement solutions market is classified into cloud-based, web-based, and on-premises. The cloud-based segment accounted for the highest market share and was valued at USD 2.9 billion in 2023.
Based on application, the AI in patient engagement solutions market is categorized into patient communication, patient monitoring, patient engagement analytics, personalized care, and other applications. The patient communication segment is projected to reach USD 9.2 billion by 2032.
Based on end-use, the AI in patient engagement solutions market is categorized into healthcare facilities, home healthcare, payors, and other end-users. The healthcare facilities segment is projected to reach USD 11.4 billion by 2032.
The North America AI in patient engagement solutions market size in 2023 was valued at USD 2.2 billion and is predicted to grow at a CAGR of 19.4% over the analysis timeframe.
The U.S. market is anticipated to grow at a CAGR of 19.3% to reach USD 10.1 billion by the end of the forecast timeframe.
Germany AI in patient engagement solutions market is projected to grow remarkably in the coming years.
Japan is experiencing high market growth in the AI in patient engagement solutions market.
The AI in patient engagement solutions industry is characterized by the presence of several established and emerging players that offer a variety of services across the globe. The market players compete based on factors such as service quality, innovation, regulatory compliance, customer service, and pricing strategies.
Prominent players operating in the AI in patient engagement solutions industry include:
Market, By Software Type
Market, By Deployment Mode
Market, By Application
Market, By End-use
The above information is provided for the following regions and countries:
Epic Systems Corporation, GE HealthCare, Health Catalyst, IBM, Luma Health Inc., Microsoft, Nuance Communications, Inc., and Oracle
North America AI in patient engagement solutions industry size was valued at USD 2.2 billion in 2023 characterized by a strong focus on research and development, leading to the introduction of innovative AI in patient engagement solutions.
The cloud-based segment recorded USD 2.9 billion in 2023 as they provide unparalleled scalability, allowing healthcare providers to easily expand their patient engagement efforts as needed.
The AI in patient engagement solutions industry size was valued at USD 5 billion in 2023 and is anticipated to witness CAGR 20.1% through 2032 driven by the rising demand for personalized healthcare coupled with the growing adoption of digital health solutions.