AI in Medical Imaging Market Overview, Market Dynamics, Market Trends, Segmentation, Competitive Analysis for 2022-2029

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 37.07% during the forecast period.

AI in the Medical Imaging Market Overview:

The AI in Medical Imaging market report includes New recent developments, trade rules, import-export assessment, business model, value chain optimization, market share, the impact of domestic and localized market participants, an evaluation of opportunity in terms of emerging income pockets, shifts in market restrictions, tactical market growth analysis, sales volume, segment’s market growths, application niches and dominance, product approvals, product releases, geographic regions, etc.

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Market Scope:

A competitor's information is provided in the highly competitive environment for the AI in medical imaging market. The information includes a business overview, financials, revenue generated, market potential, research and development investment, new market efforts, geographical presence, firm advantages and disadvantages, product introduction, and application dominance. The information shown above is only related to the businesses' focus on AI in the medical imaging industry.

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

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Key Players:

The major players covered in the AI in Medical Imaging market report are

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)

Regional Analysis:

The causes of the global AI in medical imaging market's rise and the industry's numerous users are explored. Market participants, geographies, and special requirements all provide data. This study proposal is ready for the market and offers a full evaluation of all the important advancements that are now prevalent in all market sectors. Statistics, infographics, and demonstrations have been used to provide key data analysis.

COVID-19 Impact Analysis on AI in the Medical Imaging Market:

The COVID-19 pandemic resulted in a severe and prolonged decline in production utilization, while travel bans and facility closures kept people away from their facilities, leading the AI in Medical Imaging market to slow in 2029. The new research features COVID-19's impact on the AI in Medical Imaging market, as well as insights, analysis, estimations, and projections.

Key questions answered in the AI in Medical Imaging Market Report are:

• Which segment was responsible for the largest share in the AI in medical imaging market?
• How was the competitive scenario of the AI in medical imaging market in 2029?
• Which are the key factors responsible for the AI in medical imaging market growth?
• Which region held the maximum share in the AI in medical imaging market in 2029?

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