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    Home » AI in Predictive Healthcare Market to Reach $47.93 Billion by 2030
    Digital Health Technology

    AI in Predictive Healthcare Market to Reach $47.93 Billion by 2030

    techgeekwireBy techgeekwireMarch 18, 2025No Comments3 Mins Read
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    AI’s Role in Healthcare Surging, Report Predicts

    Dublin, March 18, 2025 – The global market for AI in predictive healthcare is poised for substantial expansion, according to a recently released report from ResearchAndMarkets.com. The report, titled “AI for Predictive Healthcare Market by Component, Data Type, AI Model Type, Application, End-Use – Global Forecast 2025-2030,” projects a significant rise in market value over the next few years.

    The report details a market that grew from USD 8.85 billion in 2024 to USD 11.69 billion in 2025. Perhaps even more striking is the predicted compound annual growth rate (CAGR) of 32.49%, which is expected to propel the market to USD 47.93 billion by 2030. This rapid expansion reflects a fundamental shift in the healthcare landscape, driven by advancements in AI-driven solutions.

    Market Trends

    Several key trends are fueling this growth.

    • Digitization and Data Analytics: Healthcare is increasingly adopting data-centric models, where information is used to improve patient outcomes. Advanced data analytics and computational power are key in collecting, processing, and interpreting health data.
    • Real-Time Monitoring: Connected devices and sensors allow for constant monitoring, which permits practitioners to make decisions quickly. It’s helping to reshape how healthcare providers approach patient care.
    • Regulation and Collaboration: Regulatory bodies globally are adopting standardized protocols for the ethical use of patient data. This is creating collaborations among technology vendors, research institutions, and healthcare providers.

    These converging factors are creating a new era in healthcare that emphasizes precision, preventative care, and operational resilience.

    Regional Dynamics

    Market dynamics vary by region, each with its own unique conditions.

    • The Americas: This region benefits from significant investments in health tech and well-established public-private partnerships promoting innovation. These factors have created a rich ecosystem for AI-driven healthcare.
    • Europe, Middle East, and Africa: The region encourages AI research and implementation in healthcare with progressive regulatory frameworks and government incentives.
    • Asia-Pacific: Driven by expanding healthcare infrastructures, increasing patient awareness, and early technology adaptation, the Asia-Pacific region sees substantial investments in digital transformation.

    These regional differences reveal how technology is able to meet localized needs and bridge any discrepancies in healthcare quality and access.

    Key Players

    The report identifies several leading global companies at the forefront of AI in healthcare. Some of the key players include:

    • Aidoc Medical Ltd.
    • Aiforia Technologies
    • Amazon Web Services Inc.
    • Athenahealth Inc.
    • Bigfinite Inc., dba Aizon
    • CloudMedx Inc.
    • CognitiveCare Inc.
    • Epic Systems Corporation
    • Exscientia Ltd.
    • Flatiron Health
    • GE Healthcare
    • Health Catalyst
    • Intel Corporation
    • International Business Machines Corporation
    • Koninklijke Philips N.V.
    • Medtronic plc
    • Microsoft Corporation
    • NVIDIA Corporation
    • PathAI Inc.
    • Proscia Inc.
    • Sensely Inc.
    • Siemens Healthineers
    • SOPHiA GENETICS
    • Tempus Labs Inc.
    • Wipro Limited

    Recommendations for Leaders

    For industry leaders, the report offers the following recommendations:

    • Prioritize AI Deployment: Integrate AI into operational initiatives, focusing on scalable platforms that work with existing and new technologies.
    • Adopt a Holistic Approach: Make sure insights are used to improve product generation and service. Leaders should pursue collaboration with innovators, regulatory bodies, and academia.
    • Embrace Data Governance: Ensure that data is secure and of high quality and that systems can work together effectively. Leaders should provide the means to unlock information in order to inform predictive insights and improve medicine.
    • Foster Agility: Continuous development of the workforce and continuous research will help build an organization’s ability to innovate and stay flexible in a dynamic business environment.
    AI for Predictive Healthcare Market
    AI for Predictive Healthcare Market
    AI healthcare market research predictive analytics
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