The Global AI in Medical Imaging Market was valued at USD 1.72 billion in 2022 and is projected to reach USD 14.9 billion by 2029, growing at a CAGR of 36.07 % during the forecast period.
Report Scope:
The comprehensive AI in Medical Imaging market study delves into competitive landscapes, offering insights into market share and company profiles of major global competitors. The research scope extends to a thorough analysis of the AI in Medical Imaging Market, exploring factors contributing to regional growth disparities.
Research Methodology:
Employing a meticulous approach, market engineering involved statistical computations, size estimations, forecasts, breakdowns, and data triangulation. Extensive primary research validated critical figures, utilizing top-down and bottom-up strategies alongside diverse data triangulation methods. Qualitative and quantitative analyses of acquired data were integral to this process, ensuring vital information throughout the report.
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Identified through both primary and secondary research, market leaders were assessed, and revenue calculations were based on comprehensive interviews with key industry figures. In-depth discussions with frontline personnel, CEOs, and marketing executives formed primary research, while secondary research encompassed an examination of major manufacturers' annual and financial reports.
Segmentation:
by Imaging Mode
X-ray
MRI(Magnetic Resonance Imaging)
Computed Tomography scans
Ultrasound Imaging
Others
by Technology
Machine Learning
Natural Language Processing
Others
by Application
Oncology
Neurology
Cardiology
Radiology
Others
by End-User
Hospitals
Diagnostic Centers
Research Institutions
by Deployment Mode
On-Premise
Cloud Based
Key Players:
Key players in the AI in Medical Imaging market, derived from primary and secondary research, contributed to market revenue calculations. Interviews with industry experts and a thorough review of manufacturers' reports informed this assessment.
1. North America:
2. GE Healthcare (United States)
3. IBM Watson Health (United States)
4. NVIDIA Corporation (United States)
5. Aidoc (United States)
6. Butterfly Network (United States)
7. Europe:
8. Siemens Healthineers (Germany)
9. Philips Healthcare (Netherlands)
10. Sectra AB (Sweden)
11. Agfa-Gevaert Group (Belgium)
12. Zebra Medical Vision (Israel)
13. Asia Pacific:
14. Canon Medical Systems Corporation (Japan)
15. Ping An Healthcare and Technology Company Limited (China)
16. Infervision (China)
17. Carestream Health (United States, with a strong presence in Asia Pacific)
18. Huiying Medical Technology Co., Ltd. (China)
19. Latin America:
20. Grupo Fleury (Brazil)
21. Hospital Alemão Oswaldo Cruz (Brazil)
22. Inbrain Neuroelectronics (Spain, with operations in Latin America)
23. Inova (Mexico)
24. Radiologia Integrada (Chile)
25. Middle East and Africa:
26. AIDoc Medical (Israel)
27. AlemHealth (United Arab Emirates)
28. Quantib (South Africa)
29. Mirai Medical (South Africa)
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Regional Insights:
The AI in Medical Imaging market analysis covers individual market influencers, encompassing changes in market laws and their impact on current and future trends. A comprehensive study of prevailing and future trends aims to evaluate overall market potential and discern profitable patterns. Geographical assessments are based on existing conditions and anticipated trends.
COVID-19 Impact Analysis:
The pandemic significantly impacted end-user sectors utilizing AI in Medical Imaging , resulting in reduced growth across various countries. Lockdowns and global COVID-19 events led to decreased demand for AI in Medical Imaging , affecting the market in 2029.
Key Questions Addressed:
The AI in Medical Imaging Market Report addresses critical inquiries such as:
Dominant segment in the AI in Medical Imaging market in 2029
Overview of the competitive landscape
Primary drivers fueling AI in Medical Imaging market growth
Region with the highest market share
Expected CAGR of the AI in Medical Imaging market during the projected period (2023-2029)
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