Press release
AI in Medical Imaging Market to Increase At a CAGR of 36.07 % to Reach a Valuation of USD 20.21 billion by 2030
Forecast Increase in Revenue:The AI in Medical Imaging Market was valued at USD 2.34 billion in 2023 and is projected to reach USD 20.21 billion by 2030, growing at a CAGR of 36.07 % during the forecast period.
AI in Medical Imaging Market Overview:
The global AI in medical imaging market is experiencing significant growth due to the integration of advanced AI algorithms into various imaging systems such as X-ray, MRI, CT scans, and ultrasound. This growth is driven by the technology's ability to enhance diagnostic accuracy, streamline workflows, and support personalized treatment. As AI algorithms process large volumes of medical data, they improve early disease detection and aid in precise treatment planning, leading to better patient outcomes. The increasing demand for effective diagnostic tools and the rise of chronic diseases further fuel this market's expansion.
๐๐จ๐ฎ๐ซ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐๐๐ฉ๐จ๐ซ๐ญ ๐๐ฌ ๐๐ฎ๐ฌ๐ญ ๐ ๐๐ฅ๐ข๐๐ค ๐๐ฐ๐๐ฒ! https://www.maximizemarketresearch.com/request-sample/190416/
Drivers in the AI in Medical Imaging Market:
The primary drivers for the AI in medical imaging market include the growing need for accurate diagnostic tools due to the rise in chronic diseases and advancements in AI algorithms. These algorithms improve diagnostic precision and efficiency by analyzing complex medical images and identifying subtle abnormalities that might be missed by human eyes. The rapid development of deep learning techniques and machine learning models continues to enhance the capabilities of AI systems, enabling faster and more accurate diagnoses while reducing diagnostic errors.
AI in Medical Imaging Market Trends:
Key trends in the AI in medical imaging market include a surge in partnerships between healthcare organizations and AI companies to integrate AI solutions into existing imaging workflows. Advances in computer vision and natural language processing are also enhancing the precision of image analysis and integrating textual data for comprehensive diagnostics. Additionally, edge computing and cloud-based solutions are becoming prevalent, providing real-time analysis and scalable infrastructure, while specialized AI applications are emerging in subspecialties like oncology and cardiology.
๐๐๐๐ ๐๐จ๐ซ๐ ๐๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง? ๐๐ง๐ช๐ฎ๐ข๐ซ๐ ๐๐๐จ๐ฎ๐ญ ๐๐๐ฆ๐ฉ๐ฅ๐ + ๐๐ซ๐๐ฉ๐ก๐ฌ ๐๐๐ซ๐:๏ปฟ๏ปฟ https://www.maximizemarketresearch.com/inquiry-before-buying/190416/
AI in Medical Imaging Market Opportunities:
Opportunities in the AI in medical imaging market include the potential for improved workflow efficiency through automation of repetitive tasks and better integration with electronic health records (EHRs) and picture archiving systems (PACS). The ability of AI to offer personalized treatment planning and predict treatment responses opens avenues for more targeted and effective patient care. Furthermore, the growing focus on AI-driven solutions in emerging markets and the continued development of advanced algorithms present significant growth opportunities.
What is AI in Medical Imaging Market Regional Insight?
The AI in medical imaging market is currently led by North America and Europe, thanks to their advanced healthcare infrastructure and significant R&D investments. However, the Asia-Pacific region is emerging as a significant growth area due to increased healthcare spending and the adoption of digital health solutions. Latin America and the Middle East & Africa are also showing potential for growth, driven by improving healthcare infrastructures and government initiatives to enhance diagnostic capabilities.
๐๐ฎ๐ซ๐ข๐จ๐ฎ๐ฌ ๐ญ๐จ ๐ฉ๐๐๐ค ๐ข๐ง๐ฌ๐ข๐๐? ๐๐ซ๐๐ ๐ฒ๐จ๐ฎ๐ซ ๐ฌ๐๐ฆ๐ฉ๐ฅ๐ ๐๐จ๐ฉ๐ฒ ๐จ๐ ๐ญ๐ก๐ข๐ฌ ๐ซ๐๐ฉ๐จ๐ซ๐ญ ๐ง๐จ๐ฐ:๏ปฟ https://www.maximizemarketresearch.com/request-sample/190416/ ๏ปฟ๏ปฟ
Segmentation Analysis of the AI in Medical Imaging Market
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
Who is the largest manufacturers of AI in Medical Imaging Market worldwide?
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 Alemรฃo 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)
๐๐๐ญ ๐๐ข๐ฌ๐๐จ๐ฎ๐ง๐ญ ๐๐ง ๐๐ก๐ ๐๐ฎ๐ซ๐๐ก๐๐ฌ๐ ๐๐ ๐๐ก๐ข๐ฌ ๐๐๐ฉ๐จ๐ซ๐ญ @ https://www.maximizemarketresearch.com/market-report/ai-artificial-intelligence-in-medical-imaging-market/190416/ ๏ปฟ๏ปฟ
Key Offerings:
Past Market Size and Competitive Landscape
AI in Medical Imaging Market Size, Share, Size & Forecast by different segment
Market Dynamics - Growth Drivers, Restraints, Opportunities, and Key Trends by region
AI in Medical Imaging Market Segmentation - A detailed analysis by Product
Competitive Landscape - Profiles of selected key players by region from a strategic perspective
Competitive landscape - Market Leaders, Market Followers, Regional player
Competitive benchmarking of key players by region
PESTLE Analysis
PORTER's analysis
Value chain and supply chain analysis
Legal Aspects of business by region
Lucrative business opportunities with SWOT analysis
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