The AI In Patient Management Market is being driven by Imperative for operational efficiency and cost containment
The AI In Patient Management Market is expected to grow at a CAGR of 21.4% during 2024 and 2029. During this period, the market is also expected to show a growth of USD 6135.9 million. The global AI in patient management market is experiencing a pivotal shift with the increasing adoption of generative AI technology. This advanced form of artificial intelligence goes beyond predictive analytics to provide ambient clinical intelligence, enabling systems to understand, summarize, and generate human-like text and dialogue. This innovation is revolutionizing healthcare by streamlining clinical workflows and addressing the burdensome administrative tasks faced by clinicians. Ambient intelligence solutions employing generative AI technology listen to and interpret natural conversations between patients and healthcare professionals, automatically generating structured clinical notes, orders, and summaries within electronic health records (EHRs).
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The market is segmented based on
According to Technavio, There are several factors that are causing the market to flourish during the forecast period, which are as follows:
However, the market also witnesses some limitations, which are as follows:
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Market Scope |
|
Report Coverage |
Details |
Page number |
243 |
Base year |
2024 |
Historic period |
2019-2023 |
Forecast period |
2025-2029 |
Growth momentum & CAGR |
Accelerate at a CAGR of 21.4% |
Market growth 2025-2029 |
USD 6135.9 million |
Market structure |
fragmentation |
YoY growth 2024-2025(%) |
20.5 |
Key countries |
US, Germany, UK, China, Canada, South Korea, France, Brazil, Japan, and India |
Competitive landscape |
Leading Companies, Market Positioning of Companies, Competitive Strategies, and Industry Risks |
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The AI in Patient Management Market focuses on enhancing healthcare delivery through advanced technologies like deep learning applications, computer vision algorithms, and real-time data processing. It prioritizes patient data security and ensures AI model interpretability. Sensor fusion techniques and data anonymization methods are used for clinical trial recruitment and adverse event detection. AI also improves patient satisfaction metrics, reduces healthcare costs, and enhances diagnostic accuracy. Preventative healthcare AI, chronic disease management, and personalized treatment plans are key areas of development. Proactive patient care, faster disease diagnosis, improved treatment efficacy, efficient resource allocation, and healthcare workflow automation are additional benefits. AI is also used for enhanced diagnostic accuracy, reduced hospital readmissions, improved treatment adherence, and drug interaction prediction. AI technology aids in patient journey mapping and enables the development of personalized treatment plans. It facilitates preventative healthcare, enhances diagnostic precision, and streamlines healthcare operations.
The AI in Patient Management Market encompasses businesses specializing in patient monitoring systems, AI-driven diagnostics, and predictive analytics models. This market falls under the broader Application Software sector within the IT Software industry. Technavio's market analysis includes revenue generated by companies offering these advanced solutions, such as remote patient monitoring systems and AI-assisted diagnosis tools. These companies contribute to the Application Software market, which focuses on creating software for specific business or consumer needs, excluding those producing interactive home entertainment software or database management software.. Industries are leveraging the products belonging to the market for customer engagement, transactional notifications, and promotional offers.
Technavio Research
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