The Business Research Company’s Artificial Intelligence In Healthcare Diagnosis Global Market Report 2023 is the most detailed report available on the market, including broad forecast periods and multiple geographies. The report covers the historic period – 2010-2021, and the forecast period – 2023-2032. The Artificial Intelligence In Healthcare Diagnosis Global Market Report 2023 evaluates artificial intelligence in healthcare diagnosis market size, growth rate, drivers, trends, and major companies.

The report provides a global perspective by covering 60 geographies and focusing on major economies in each region – Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

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The global artificial intelligence in healthcare diagnosis market is poised for a substantial expansion, exhibiting a remarkable growth trajectory. In 2022, this burgeoning market stood at a valuation of $11.21 billion, and it is projected to ascend to an impressive $16.28 billion by the dawn of 2023. This growth is underpinned by a robust compound annual growth rate (CAGR) of 45.2%, highlighting the dynamic nature of this sector.

Nonetheless, the global landscape has been significantly affected by the disruptive consequences of the Russia-Ukraine conflict. This geopolitical turmoil has hampered the global economic recovery process following the adverse impact of the COVID-19 pandemic. As a direct result of this war, numerous countries have been subjected to stringent economic sanctions, ushering in a surge in commodity prices and creating perturbations within the global supply chain. The cumulative effect of these disruptions has inevitably led to an inflationary surge across a spectrum of goods and services, consequently culminating in increased interest rates, which have reverberated through diverse markets worldwide. These factors, while challenging, remain integral aspects of the backdrop against which the artificial intelligence in healthcare diagnosis market is set to flourish, eventually reaching a formidable valuation of $71.24 billion by 2027, buoyed by a CAGR of 44.6%.

Looking ahead, the persistent escalation in the incidence rate of chronic diseases is poised to be a key driving force propelling the expansion of artificial intelligence within the realm of healthcare diagnosis. Chronic diseases, characterized by their protracted development and intermittent persistence, pose a significant healthcare challenge. The integration of Artificial Intelligence (AI) within healthcare diagnosis processes promises to revolutionize the management and diagnosis of these chronic ailments, heralding a new era of cost-efficiency and optimal resource utilization.

AI has the potential to empower medical practitioners with enhanced decision-making capabilities, allowing for the early identification of patients at risk and the delivery of personalized care. For illustrative context, the World Health Organization's September 2022 report, a specialized agency within the United Nations based in Switzerland, highlighted a stark statistic: approximately 74% of global annual deaths, totaling 41 million, were attributed to non-communicable diseases (NCDs) or chronic ailments. Within this context, 17.9 million deaths were ascribed to cardiovascular diseases, 9.3 million to cancer, 4.1 million to chronic respiratory diseases, and 2.0 million to diabetes. These statistics underscore the compelling need for the integration of AI in healthcare diagnosis to tackle the rising prevalence of chronic diseases.

In conclusion, the confluence of dynamic market growth, global economic challenges, and the pressing healthcare demand for AI-driven solutions underscores the pivotal role of artificial intelligence in shaping the future of healthcare diagnosis. The continuous rise in chronic diseases serves as a poignant reminder of the vital contribution that AI can make in reshaping the healthcare landscape, optimizing resources, and ultimately enhancing the quality of patient care. This augurs well for the sustained growth of the artificial intelligence in healthcare diagnosis market.

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The artificial intelligence in healthcare diagnosis market segments in the report are:
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

The table of contents in TBRC’s artificial intelligence in healthcare diagnosis market report 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 Drivers and Restraints

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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

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