A young African - American doctor works on HUD or graphic display in front of her, we see her from the waist up in a modern laboratory
The Artificial Intelligence in Healthcare Diagnosis Global Market Report 2024 by The Business Research Company provides market overview across 60+ geographies in the seven regions – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, the Middle East, and Africa, encompassing 27 major global industries. The report presents a comprehensive analysis over a ten-year historic period (2010-2021) and extends its insights into a ten-year forecast period (2023-2033).
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According to The Business Research Company’s Artificial Intelligence in Healthcare Diagnosis Global Market Report 2024, 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.
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.
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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
Technological advancement is a key trend gaining popularity in artificial intelligence in the healthcare diagnosis market. Major companies operating in artificial intelligence in the healthcare diagnosis market are concentrating on creating innovative technologies to sustain their position in the market. For instance, in March 2023, Genomic Vision, a France-based biotechnology company, launched FiberSmart, an AI-powered software to automate detecting and quantifying fluorescent signals on combed DNA (Deoxyribonucleic acid) molecules. FiberSmart offers a simple and user-friendly interface, allowing fast analysis of DNA replication signals to deduce essential parameters describing replication kinetics. Compared to Genomic Vision’s current software solutions, the program uses advanced AI techniques to visualize, detect, and evaluate DNA replication kinetics up to three times more accurately and up to ten times faster. FiberSmart’s user-friendly interface and ergonomic design enable quick analysis of DNA replication signals to determine crucial variables describing replication kinetics.
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
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26. South America Artificial Intelligence in Healthcare Diagnosis Market
27. Brazil Artificial Intelligence in Healthcare Diagnosis Market
28. Middle East Artificial Intelligence in Healthcare Diagnosis Market
29. Africa Artificial Intelligence in Healthcare Diagnosis Market
30. Artificial Intelligence in Healthcare Diagnosis Market Competitive Landscape And Company Profiles
Top Major Players:
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