IT & Communication Technology

AI In Medical Diagnostics Global Market 2024 – By Size, Share, Trends, Demand, Forecast To 2033 | International Business Machines Corporation, Siemens Healthineers AG, GE HealthCare Technologies Inc

The ai in medical diagnostics market size is expected to see exponential growth in the next few years. It will grow to $16.94 billion in 2028 at a compound annual growth rate (CAGR) of 42.8%.  The growth in the forecast period can be attributed to patient-centric approach, increasing healthcare expenditure, regulatory support and standards, enhanced clinical decision support, ai in disease prediction and prevention. Major trends in the forecast period include augmented radiology and imaging, ai-powered pathology, genomics and ai integration, predictive analytics in healthcare, natural language processing (nlp).

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Segmentation & Regional Insights
The ai in medical diagnostics market covered in this report is segmented –

1) By Component: Software, Services
2) By Technology: Natural Language Processing, Computer Vision, Machine Learning, Context-Aware Computing, Other Technologies
3) By Specialty: Brain And Neurological, Oncology, Cardiac And Vascular, Chest And Lung, Obstetrics And Gynecology, Other Specialties
4) By Application: Computer-Aided Detection, Computer-Aided Diagnosis, Quantitative Analysis Tools, Clinical Decision
5) By End User: Hospitals, Diagnostics Imaging Centers, Diagnostics Laboratories, Other End Users

North America was the largest region in the AI in medical diagnostics market in 2023. Asia-Pacific is expected to be the fastest-growing region in the global AI in medical diagnostics market report during the forecast period. The regions covered in the ai in medical diagnostics 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 increasing investment in healthcare is expected to propel the growth of the AI in medical diagnostics market going forward. Health expenditure refers to the portion of total revenue that is spent by the public and private sectors for healthcare services. It provides employment for healthcare professionals, boosts earnings for healthcare employees, expands municipal tax revenues, and stimulates demand for associated goods and services that will support AI technology’s application in healthcare. For instance, in February 2023, according to American Medical Association, a US-based professional organization company, from 2020 to 2021, health spending in the United States climbed by 2.7%, reaching $4.3 trillion, or $12,914 per person. Therefore, the increasing investment in healthcare is driving the growth of the AI in medical diagnostics market.

Key Industry Players
Major companies operating in the ai in medical diagnostics market report are International Business Machines Corporation, Siemens Healthineers AG, GE HealthCare Technologies Inc., Digital Diagnostics Inc., Heartflow Inc., Aidoc Medical Ltd., Koninklijke Philips N.V., Nanox Imaging Ltd., Microsoft Corporation, Nvidia Corporation, Intel Corporation, Xilinx Inc., Enlitic Inc., Aidence B.V., Butterfly Network Inc., Day Zero Diagnostics Inc., MicroHealth LLC, Arterys Inc., PathAI Inc., Zebra Medical Vision Inc., Tempus Labs Inc., Caption Health Inc., Proscia Inc., AliveCor Corporation, ResApp Health Limited, Volpara Health Technologies Limited, Koios Medical Inc., Ultromics Limited, MaxQ AI Ltd., Paige.AI Inc.

The ai in medical diagnostics market report table of contents includes:
1. Executive Summary
2. AI In Medical Diagnostics Market Characteristics
3. AI In Medical Diagnostics Market Trends And Strategies
4. AI In Medical Diagnostics Market – Macro Economic Scenario
5. Global AI In Medical Diagnostics Market Size and Growth
……………………………..
31. Global AI In Medical Diagnostics Market Competitive Benchmarking
32. Global AI In Medical Diagnostics Market Competitive Dashboard
33. Key Mergers And Acquisitions In The AI In Medical Diagnostics Market
34. AI In Medical Diagnostics Market Future Outlook and Potential Analysis
35. Appendix

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