Press release
AI in Medical Imaging Market Size Worth USD 20.21 Billion by 2030 With CAGR of 36.07 percentage
The ๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ 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.๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ ๐๐ฏ๐๐ซ๐ฏ๐ข๐๐ฐ:
The AI in medical imaging market is witnessing significant growth as healthcare providers increasingly integrate advanced technologies to improve diagnostic accuracy and operational efficiency. Artificial intelligence is being embedded into imaging modalities such as X-ray, MRI, CT scans, and ultrasounds to enhance their ability to analyze complex medical images. This integration allows for faster, more accurate diagnoses and early disease detection, thereby improving patient outcomes and streamlining workflows in medical facilities. The market's expansion is supported by the growing adoption of personalized medicine and the rising need for effective diagnostic tools, particularly in regions with limited access to skilled radiologists.
๐๐ก๐๐ญ'๐ฌ ๐ง๐๐ฑ๐ญ ๐๐จ๐ซ ๐ฒ๐จ๐ฎ๐ซ ๐๐ฎ๐ฌ๐ข๐ง๐๐ฌ๐ฌ? ๐ ๐ข๐ง๐ ๐จ๐ฎ๐ญ ๐๐๐ช๐ฎ๐๐ฌ๐ญ ๐ฒ๐จ๐ฎ๐ซ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐ญ๐จ๐๐๐ฒ :https://www.maximizemarketresearch.com/request-sample/190416/
๐๐ซ๐ข๐ฏ๐๐ซ๐ฌ ๐ข๐ง ๐ญ๐ก๐ ๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ:
One of the primary drivers of the AI in medical imaging market is the increasing prevalence of chronic diseases such as cancer, cardiovascular conditions, and neurological disorders. These diseases often require accurate and timely diagnosis, which is facilitated by AI-powered imaging solutions. By automating the detection of abnormalities and enhancing diagnostic precision, AI significantly reduces the time required to interpret complex medical images. This capability enables healthcare providers to deliver faster and more effective treatments, improving patient outcomes and reducing the overall burden on healthcare systems.
Another significant driver is the growing adoption of digital healthcare solutions, supported by advancements in computational power and data availability. Governments and private organizations are investing heavily in AI research and development to enhance the capabilities of medical imaging systems. Moreover, collaborations between healthcare providers and AI companies have accelerated the deployment of innovative solutions tailored to specific clinical needs. The ability of AI to integrate seamlessly with electronic health records (EHRs) and picture archiving and communication systems (PACS) further promotes its adoption by simplifying workflows and enhancing data management.
๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ ๐๐๐ฒ ๐๐ซ๐๐ง๐๐ฌ:
One notable trend in the AI in medical imaging market is the increasing focus on explainable AI (XAI). As healthcare professionals demand more transparency in how AI algorithms make decisions, developers are creating models that provide detailed insights into their reasoning. This trend addresses concerns about the "black box" nature of many AI systems, fostering greater trust among clinicians. Explainable AI not only enhances adoption rates but also supports compliance with stringent regulatory requirements, ensuring that AI-powered tools are reliable and clinically safe.
๐ฐ๐ก๐๐ญ ๐ข๐ฌ ๐ญ๐ก๐ ๐๐ฑ๐ฉ๐๐๐ญ๐๐ ๐ ๐ซ๐จ๐ฐ๐ญ๐ก ๐จ๐ ๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐ฒ ๐๐ฉ๐ฉ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐ฌ๐๐ ๐ฆ๐๐ง๐ญ๐๐ญ๐ข๐จ๐ง?
The AI in medical imaging market is poised for substantial growth across various applications, with oncology emerging as a key segment. Cancer diagnosis relies heavily on imaging technologies, and the integration of AI enhances the ability to detect tumors at earlier stages. AI algorithms trained on extensive datasets can analyze subtle variations in medical images, enabling more precise characterizations of malignancies. This capability supports oncologists in creating targeted treatment plans, contributing to the increased adoption of AI-powered imaging systems in cancer care.
๐๐ก๐ ๐๐ง๐ญ๐๐ซ๐๐ฌ๐ญ๐๐ ๐๐ญ๐๐ค๐๐ก๐จ๐ฅ๐๐๐ซ๐ฌ ๐๐๐ง ๐๐ง๐ช๐ฎ๐ข๐ซ๐ ๐๐จ๐ซ ๐ญ๐ก๐ ๐๐ฎ๐ซ๐๐ก๐๐ฌ๐ ๐จ๐ ๐ญ๐ก๐ ๐๐๐ฉ๐จ๐ซ๐ญ :https://www.maximizemarketresearch.com/inquiry-before-buying/190416/
๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐ซ๐จ๐ฐ๐ญ๐ก ๐๐ฉ๐ฉ๐จ๐ซ๐ญ๐ฎ๐ง๐ข๐ญ๐ข๐๐ฌ ๐ข๐ง ๐๐ข๐๐ญ๐ง๐๐ฆ
Vietnam has emerged as a promising market for ๐๐ ๐ข๐ง ๐ฆ๐๐๐ข๐๐๐ฅ ๐ข๐ฆ๐๐ ๐ข๐ง๐ , supported by growing investments in healthcare digitization. Government initiatives and collaborations with companies such as ๐๐ข๐ง๐๐ซ๐จ๐ฎ๐ฉ and ๐ ๐๐ ๐๐จ๐๐ญ๐ฐ๐๐ซ๐ are driving AI adoption in medical diagnostics. The market in Vietnam is expected to expand significantly, bolstered by partnerships aimed at improving diagnostic accuracy.
๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐ซ๐๐ง๐๐ฌ ๐ข๐ง ๐๐ก๐๐ข๐ฅ๐๐ง๐
In Thailand, hospitals are increasingly integrating AI-powered imaging tools for improved patient care. Key trends include the rise of teleradiology and cloud-based imaging solutions. Companies like ๐๐ก๐๐ข ๐๐จ๐ฌ๐ฉ๐ข๐ญ๐๐ฅ ๐๐ซ๐จ๐๐ฎ๐๐ญ๐ฌ ๐๐จ., ๐๐ญ๐. are adopting AI to enhance operational efficiency. Additionally, government support for healthcare modernization is propelling the market forward.
๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐ฉ๐ฉ๐จ๐ซ๐ญ๐ฎ๐ง๐ข๐ญ๐ข๐๐ฌ ๐ข๐ง ๐๐๐ฉ๐๐ง
Japan's advanced technological infrastructure positions it as a leader in ๐๐-๐๐ซ๐ข๐ฏ๐๐ง ๐ฆ๐๐๐ข๐๐๐ฅ ๐ข๐ฆ๐๐ ๐ข๐ง๐ . Companies like ๐ ๐ฎ๐ฃ๐ข๐๐ข๐ฅ๐ฆ ๐๐จ๐ฅ๐๐ข๐ง๐ ๐ฌ and ๐๐๐ง๐จ๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฒ๐ฌ๐ญ๐๐ฆ๐ฌ are at the forefront of innovation. The country is witnessing significant developments, including the integration of AI into cancer diagnostics, a trend supported by government incentives for research and development.
๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐ซ๐จ๐ฐ๐ญ๐ก ๐ข๐ง ๐๐จ๐ฎ๐ญ๐ก ๐๐จ๐ซ๐๐
South Korea has become a hub for ๐๐ ๐ข๐ง ๐ฆ๐๐๐ข๐๐๐ฅ ๐ข๐ฆ๐๐ ๐ข๐ง๐ , with companies such as ๐๐ฎ๐ง๐ข๐ญ and ๐๐ฎ๐ง๐จ making notable strides. The market is experiencing rapid growth due to increased investment in AI technologies by healthcare providers. The government's focus on AI adoption in public health services further accelerates market expansion.
๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐ซ๐๐ง๐๐ฌ ๐ข๐ง ๐๐ข๐ง๐ ๐๐ฉ๐จ๐ซ๐
Singapore is leveraging its position as a technological hub to lead advancements in ๐๐-๐๐ซ๐ข๐ฏ๐๐ง ๐ฆ๐๐๐ข๐๐๐ฅ ๐ข๐ฆ๐๐ . Companies like ๐๐จ๐ฅ๐ฆ๐ฎ๐ฌ๐ค and partnerships with global firms have fostered innovations in imaging analytics. The market is characterized by rising demand for precision medicine and AI-integrated diagnostic tools.
๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐ฉ๐ฉ๐จ๐ซ๐ญ๐ฎ๐ง๐ข๐ญ๐ข๐๐ฌ ๐ข๐ง ๐ญ๐ก๐ ๐๐
The US dominates the AI in medical imaging market with substantial investments in research and development. Companies such as ๐๐ ๐๐๐๐ฅ๐ญ๐ก๐๐๐ซ๐, ๐๐๐ ๐๐๐ญ๐ฌ๐จ๐ง ๐๐๐๐ฅ๐ญ๐ก, and ๐๐จ๐จ๐ ๐ฅ๐ ๐๐๐๐ฅ๐ญ๐ก are driving innovation. The market's growth is further supported by increasing adoption of AI in radiology and oncology diagnostics.
๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐จ๐ง๐ฌ๐จ๐ฅ๐ข๐๐๐ญ๐ข๐จ๐ง ๐ข๐ง ๐๐ฎ๐ซ๐จ๐ฉ๐
Europe is witnessing significant mergers and acquisitions in the AI in medical imaging sector. Recent deals include ๐๐ก๐ข๐ฅ๐ข๐ฉ๐ฌ acquiring ๐๐ข๐จ๐๐๐ฅ๐๐ฆ๐๐ญ๐ซ๐ฒ to enhance its AI portfolio. Germany, the UK, and France are leading markets due to robust healthcare infrastructure and government funding for AI integration.
๐๐จ๐ฐ๐ง๐ฅ๐จ๐๐ ๐ ๐ ๐ซ๐๐ ๐๐๐ ๐๐๐ฆ๐ฉ๐ฅ๐ ๐จ๐ ๐ญ๐ก๐ ๐๐๐ฉ๐จ๐ซ๐ญ: ๐ ๐ฎ๐ฅ๐ฅ ๐๐๐, ๐๐๐๐ฅ๐๐ฌ, ๐ ๐ข๐ ๐ฎ๐ซ๐๐ฌ & ๐๐ก๐๐ซ๐ญ๐ฌ ๐๐ง๐๐ฅ๐ฎ๐๐๐@https://www.maximizemarketresearch.com/request-sample/190416/
๐๐๐ ๐ฆ๐๐ง๐ญ๐๐ญ๐ข๐จ๐ง ๐๐ง๐๐ฅ๐ฒ๐ฌ๐ข๐ฌ ๐จ๐ ๐ญ๐ก๐ ๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ:
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
๐ ๐จ๐ซ ๐ฆ๐จ๐ซ๐ ๐ข๐ง๐๐จ๐ซ๐ฆ๐๐ญ๐ข๐จ๐ง ๐๐๐จ๐ฎ๐ญ ๐ญ๐ก๐ข๐ฌ ๐ซ๐๐ฉ๐จ๐ซ๐ญ ๐ฏ๐ข๐ฌ๐ข๐ญ:https://www.maximizemarketresearch.com/market-report/ai-artificial-intelligence-in-medical-imaging-market/190416/
๐๐ก๐จ ๐ข๐ฌ ๐ญ๐ก๐ ๐ฅ๐๐ซ๐ ๐๐ฌ๐ญ ๐ฆ๐๐ง๐ฎ๐๐๐๐ญ๐ฎ๐ซ๐๐ซ๐ฌ ๐จ๐ ๐๐ ๐ข๐ง ๐๐๐๐ข๐๐๐ฅ ๐๐ฆ๐๐ ๐ข๐ง๐ ๐๐๐ซ๐ค๐๐ญ ๐ฐ๐จ๐ซ๐ฅ๐๐ฐ๐ข๐๐?
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)
๐๐๐ฅ๐๐ญ๐๐ ๐๐๐ฉ๐จ๐ซ๐ญ๐ฌ ๐๐ฒ ๐๐๐ฑ๐ข๐ฆ๐ข๐ณ๐ ๐๐๐ซ๐ค๐๐ญ ๐๐๐ฌ๐๐๐ซ๐๐ก :
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