Artificial Intelligence in Healthcare Diagnosis Market Report 2024: Size, Share, Trends, Growth Drivers, Forecast to 2033

Overview and Scope

Artificial intelligence (AI) in healthcare diagnosis refers to applying AI techniques, such as machine learning and deep learning algorithms, to diagnose medical conditions. It is employed to evaluate data, including clinical trials, medical records, and genetic information, that can aid medical practitioners in making a diagnosis much more quickly than any human could.

Sizing and Forecast

The artificial intelligence in healthcare diagnosis market size has grown exponentially in recent years. It will grow from $16.28 billion in 2023 to $23.58 billion in 2024 at a compound annual growth rate (CAGR) of 44.9%. The growth in the historic period can be attributed to advancements in medical imaging, data accessibility and digitization, clinical workflow optimization, research and development investments, shortage of healthcare professionals.

The artificial intelligence in healthcare diagnosis market size is expected to see exponential growth in the next few years. It will grow to $104.32 billion in 2028 at a compound annual growth rate (CAGR) of 45.0%. The growth in the forecast period can be attributed to ai-powered precision medicine, integration with electronic health records, expansion of medical imaging analysis, rise of wearable health tech, regulatory support and standards. Major trends in the forecast period include explainable ai in healthcare, ai-driven early disease detection, telehealth integration, ai in pathology and histopathology, ai-enabled point-of-care diagnostics.

To access more details regarding this report, visit the link:
https://www.thebusinessresearchcompany.com/report/artificial-intelligence-in-healthcare-diagnosis-global-market-report

Segmentation & Regional Insights

The artificial intelligence in healthcare diagnosis market covered in this report is segmented –

1) By Component: Software, Services, Hardware
2) By Diagnosis: Cardiology, Oncology, Pathology, Radiology, Chest And Lung, Neurology, Other Diagnoses
3) By Modality: MRI (Magnetic Resonance Imaging), CT (Computed Tomography), X-ray, Ultrasound
4) By Application: In Vivo Diagnostics, In Vitro Diagnostics
5) By End-User: Hospitals, Diagnostics Imaging Centers, Diagnostics Laboratories, Other End-Users

North America was the largest region in the artificial intelligence in healthcare diagnosis market in 2023. The regions covered in the artificial intelligence in healthcare diagnosis market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa

Intrigued to explore the contents? Secure your hands-on sample copy of the report:
https://www.thebusinessresearchcompany.com/sample.aspx?id=12609&type=smp

Major Driver Impacting Market Growth

The rising incidence rate of chronic diseases is expected to propel the growth of artificial intelligence in the healthcare diagnosis market going forward. Chronic diseases are long-term health conditions that generally progress slowly over time and often persist intermittently. Artificial Intelligence (AI) in healthcare diagnosis has the potential to significantly impact the management and diagnosis of chronic diseases as it can aid in cost savings and improved resource use. It can help medical practitioners make better decisions, spot patients in danger, and give more individualized care. For instance, in September 2022, according to the World Health Organization, a Switzerland-based specialized agency of the United Nations, there were 41 million deaths, which is 74% of those caused by non-communicable diseases (NCDs) or chronic diseases every year globally. There were 17.9 million deaths from cardiovascular diseases, 9.3 million deaths from cancer, 4.1 million deaths from chronic respiratory diseases, and 2.0 million deaths from diabetes. Therefore, the rising incidence rate of chronic diseases is driving the growth of artificial intelligence in the healthcare diagnosis market.

Key Industry Players

Major companies operating in the artificial intelligence in healthcare diagnosis market report are Johnson and Johnson Private Limited, Intel Corporation, International Business Machines Corporation, Medtronic, Nvidia Corporation, Siemens Healthcare GmbH, Koninklijke Philips N.V., GE Healthcare, Agfa-Gevaert Group, Google Deep Mind, Babylon Health, HeartFlow Inc., Corti HQ, Aidoc, Aidoc Medical Ltd., Imagen Technologies, AliveCor Inc., Digital Diagnostics Inc., Enlitic Inc., NovaSignal Corp., Cleerly Inc., Butterfly Network Inc., IBM Watson Health, Arterys Inc., Caption Health, Zebra Medical Vision Inc., Vuno Inc., Riverain Technologies, CloudMedX Inc., Neural Analytics Inc.

The artificial intelligence in healthcare diagnosis market report table of contents includes:

1. Executive Summary

2. Artificial Intelligence in Healthcare Diagnosis Market Characteristics

3. Artificial Intelligence in Healthcare Diagnosis Market Trends And Strategies

4. Artificial Intelligence in Healthcare Diagnosis Market – Macro Economic Scenario

5. Global Artificial Intelligence in Healthcare Diagnosis Market Size and Growth

32. Global Artificial Intelligence in Healthcare Diagnosis Market Competitive Benchmarking

33. Global Artificial Intelligence in Healthcare Diagnosis Market Competitive Dashboard

34. Key Mergers And Acquisitions In The Artificial Intelligence in Healthcare Diagnosis Market

35. Artificial Intelligence in Healthcare Diagnosis Market Future Outlook and Potential Analysis

36. Appendix

Contact Us:
The Business Research Company
Europe: +44 207 1930 708
Asia: +91 88972 63534
Americas: +1 315 623 0293

Email: [email protected]

Follow Us On:
LinkedIn: https://in.linkedin.com/company/the-business-research-company
Twitter: https://twitter.com/tbrc_info
Facebook: https://www.facebook.com/TheBusinessResearchCompany
YouTube: https://www.youtube.com/channel/UC24_fI0rV8cR5DxlCpgmyFQ
Blog: https://blog.tbrc.info/
Healthcare Blog: https://healthcareresearchreports.com/
Global Market Model: https://www.thebusinessresearchcompany.com/global-market-model