Summary

Artificial Intelligence (AI) in Medical Imaging Market By Modality (CT scan, MRI, X-rays, Ultrasound Imaging, and Molecular Imaging) And By Technology (Deep Learning, Natural Language Processing (NLP), Computer Vision, and Others), By Application (Breast Imaging, Respiratory and Pulmonary, Neurology, Orthopedics, and Others), Global Market Size, Segmental analysis, Regional Overview, Company share analysis, Leading Company Profiles And Market Forecast, 2025 ? 2035
Artificial Intelligence (AI) in Medical Imaging Market accounted for USD 1.4 Billion in 2024 and is expected to reach USD 30.3 Billion by 2035, growing at a CAGR of around 31.8% between 2025 and 2035. The artificial intelligence (AI) in medical imaging market is primarily concerned with the integration of AI technologies such as machine learning and deep learning into medical imaging processes for prospects such as better image interpretation, improved diagnostic accuracy, and workflow efficiency. AI algorithms analyze patterns from imaging data that can be used to support radiologists and encourage early diagnosis in fields such as oncology, cardiology, and neurology. The pressure on healthcare institutions to provide faster and more accurate diagnoses is being alleviated by the scalable solution AI offers to enhance resource optimization and reduce human error. Moreover, the digitalization of health records and the shift toward precision medicine bolster the market. Technological advancements and higher investments in AI startups are fostering innovations in this domain. Since regulatory frameworks are being formulated so that AI can be applied in healthcare, the prospects for growth in this sector are strong and sustained in the years to come.
Integration of Artificial Intelligence in Radiology
The role of AI in radiological practice has become a benefit in making diagnoses more accurate and faster. In this regard, AI algorithms help radiologists in the detection of anomalies, prioritizing cases, and alleviating their workloads. Such integration results in faster diagnosis and better patient care, making AI a vital tool in present-day radiology. The capability of AI to quickly analyze enormous quantities of imaging data favors the early detection of diseases, which is essential for good treatment planning. Besides that, AI assists radiologists in the identification of probably missed areas of concern. In the future, with the rapid growth of AI, it will become central in the practice of radiology and change how imaging is perceived in most health discussions.
High Cost of Implementation
Building AI systems requires substantial investments in software, hardware, and training. The smaller hospitals would have a hard time justifying putting aside any meaningful amount of money for such implementation, which would in turn impede mass adoption. Costly factors in AI integration include the incorporation into the present system, technology upkeep, and training of personnel. Moreover, ever-advancing technology demands literally days of continuous updates and upgrades, thereby ballooning costs even more. These financial limitations restrict access to AI-based imaging solutions in low-resource settings and will serve to slow down the growth of the overall market.
An expansion in emerging markets
Emerging economies hold an untapped potential for AIs in medical imaging. Increased healthcare investments and the need for better diagnostic services create an opportunity for AI solutions to improve healthcare delivery in these areas. The rising incidence of chronic diseases and the shortage of trained healthcare professionals reinforce the need for advanced diagnostic facilities. AI can help narrow the gaps in healthcare accessibility by ensuring the accurate and timely delivery of diagnostic services, even in remote areas. Such collaborations between governments, healthcare providers, and tech companies can speed up the adoption of AI, promoting innovation and improving patient outcomes in emerging markets.
Segment Analysis
Regarding breast screening, AI applications assist with early detection of breast cancer through precise analysis of mammograms. This, in turn, diminishes the rates of false positive and false negative findings, thereby ensuring better patient outcomes. AI algorithms identify microcalcifications and masses, both of which are crucial precursors of breast cancer, more accurately and consistently than any human. AI fully integrates into breast screening arms, thus supporting radiologists by means of second opinions and diagnostic procedures. The procedure also boosts diagnostic confidence and workflow efficiencies, allowing for the screening of an even larger population in less time.
The use of AI in magnetic resonance imaging (MRI) improves image quality and shortens acquisition time. It assists in the accurate diagnosis of neuro-related and musculoskeletal disorders, thus enhancing the efficiency of the MRI workflow. An AI algorithm could reconstruct high-quality images from lower-quality input, yielding fewer repeat scans and less patient discomfort. Furthermore, AI will be able to automate the segmentation and analysis of MRI data, allowing for much quicker interpretation and diagnosis. The implementation of AI in MRI has the added advantage of diagnosing highly complex affections such as brain tumors or abnormalities of the spinal cord, where accurate imaging is critical for appropriate treatment planning.
Regional Analysis
North America has been leading the AI in medical imaging markets owing to advanced medical infrastructure and hefty investments in AI research. It is further supplemented with important market players and favorable regulatory support for this region. Also, the streamlining of the clearance process by the U.S. Food and Drug Administration (FDA) for certain AI medical devices has promoted innovation. In addition, the development and adoption of AI solutions have been accelerated by the collaboration of technology companies with healthcare institutions. The increase in chronic diseases and special focus on personalized medicine will further boost the demand for AI-powered imaging tools in the region.
Competitive Landscape
The competitive landscape of AI in medical imaging is dynamic and marked by a strong presence of established healthcare giants as well as of niche emerging tech startups driven by accretive acquisitions. Industry leaders GE Healthcare, Siemens Healthineers, and Philips enter investments into AI-enhanced application solutions or corresponding developments in their imaging products. Digitally delivered AI solutions are secured through strategic tech-and-freed partnerships or alliances with provider organizations for co-development of clinical AI algorithms that meet specific market needs. Small-scale startups get by in the space by offering niche, specialized imaging applications for the AI. Ongoing regular product launch and acquisition activities in the market speak largely of competition on technological superiority. Regulatory approvals and clinical validation act as differentials, in terms of credibility and adoption, between products in the market. Ultimately, competition boils down to innovation and scalability, besides being clinically valuable in delivering outcomes.
Report Coverage:
By Modality
- CT scan
- MRI
- X-rays
- Ultrasound Imaging
- Molecular Imaging
By Technology
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Others

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Table of Contents

Table of Contents
1. Methodology & Report Coverage
1.1. Definition & Objective
1.2. Market Evaluation & forecast parameter
1.3. Research Methodology
1.4. Data Validation Sources
1.4.1. Secondary Research
1.4.2. Primary Research
2. Market Overview
3. Global AI in Medical Imaging Market: Market Dynamics
3.1. Executive Summary
3.2. Market Driving Factors
3.2.1. Integration of AI in Radiology is the Driver for Growth
3.2.2. Early detection and accurate diagnosis
3.2.3. Continuous development in AI technologies, such as deep learning and neural networks
3.3. Key industry pitfalls & challenges
3.3.1. High cost is one of the restraints
3.3.2. Handling large volumes of sensitive patient data raises significant privacy and security challenges.
3.3.3. Compatibility and interoperability challenges
3.4. Market Opportunities
3.4.1. Collaborations and Partnerships
3.4.2. Medical imaging, leading to innovations
3.4.3. Extension of medical expertise to underserved regions
3.5. Porter’s Five Forces Analysis
3.6. PESTLE Analysis
3.7. Regulatory landscape
3.8. Pipeline Analysis
3.9. ESG Scenario
3.10. Competitive landscape
3.10.1. Company Market Share
3.10.2. Market Positioning
3.10.3. Strategy framework
3.10.4. Recent Acquisitions & Mergers
4. AI in Medical Imaging Market, Product Type Segment Analysis
4.1. Overview Dynamics
4.1.1. Market Revenue Share, By Product Type, 2025 & 2035
4.1.2. Key Market Trends, Growth Factors, & Opportunities
4.2. CT scan
4.2.1. Market Size and Forecast, By 2025-2035 (USD Billion)
4.3. MRI
4.3.1. Market Size and Forecast, By 2025-2035 (USD Billion)
4.4. X-rays
4.4.1. Market Size and Forecast, By 2025-2035 (USD Billion)
4.5. Ultrasound Imaging
4.5.1. Market Size and Forecast, By 2025-2035 (USD Billion)
4.6. Molecular Imaging Accessories
4.6.1. Market Size and Forecast, By 2025-2035 (USD Billion)
5. AI in Medical Imaging Market, Application Segment Analysis
5.1. Overview
5.1.1. Market Revenue Share, By Application, 2025 & 2035
5.1.2. Key Market Trends, Growth Factors, & Opportunities
5.2. Knees
5.2.1. Market Size and Forecast, By 2025-2035 (USD Billion)
5.3. Deep Learning
5.3.1. Market Size and Forecast, By 2025-2035 (USD Billion)
5.4. Natural Language Processing (NLP)
5.4.1. Market Size and Forecast, By 2025-2035 (USD Billion)
5.5. Computer Vision
5.5.1. Market Size and Forecast, By 2025-2035 (USD Billion)
5.6. Others
5.6.1. Market Size and Forecast, By 2025-2035 (USD Billion)
6. AI in Medical Imaging Market, Technology Segment Analysis
6.1. Overview
6.1.1. Market Revenue Share, By Technology, 2025 & 2035
6.1.2. Key Market Trends, Growth Factors, & Opportunities
6.2. Breast Imaging
6.2.1. Market Size and Forecast, By 2025-2035 (USD Billion)
6.3. Respiratory and Pulmonary
6.3.1. Market Size and Forecast, By 2025-2035 (USD Billion)
6.4. Neurology
6.4.1. Market Size and Forecast, By 2025-2035 (USD Billion)
6.5. Orthopaedics
6.5.1. Market Size and Forecast, By 2025-2035 (USD Billion)
6.6. Others
6.6.1. Market Size and Forecast, By 2025-2035 (USD Billion)
7. AI in Medical Imaging Market, Region Segment Analysis
7.1. Overview
7.1.1. Global Market Revenue Share, By Region, 2025 & 2035
7.1.2. Global Market Revenue, By Region, 2025-2035 (USD Billion)
7.2. North America
7.2.1. North America Market Revenue, By Country, 2025-2035 (USD Billion)
7.2.2. North America Market Revenue, By Product Type, 2025-2035
7.2.3. North America Market Revenue, By Application, 2025-2035
7.2.4. North America Market Revenue, By Technology, 2025-2035
7.2.5. The U.S.
7.2.5.1. U.S. Market Revenue, By Product Type, 2025-2035
7.2.5.2. U.S. Market Revenue, By Application, 2025-2035
7.2.5.3. U.S. Market Revenue, By Technology, 2025-2035
7.2.5.4.
7.2.6. Canada
7.2.6.1. Canada Market Revenue, By Product Type, 2025-2035
7.2.6.2. Canada Market Revenue, By Application, 2025-2035
7.2.6.3. Canada Market Revenue, By Technology, 2025-2035
7.2.6.4.
7.2.7. Mexico
7.2.7.1. Mexico Market Revenue, By Product Type, 2025-2035
7.2.7.2. Mexico Market Revenue, By Application, 2025-2035
7.2.7.3. Mexico Market Revenue, By Technology, 2025-2035
7.3. Europe
7.3.1. Europe Market Revenue, By Country, 2025-2035 (USD Billion)
7.3.2. Europe Market Revenue, By Product Type, 2025-2035
7.3.3. Europe Market Revenue, By Application, 2025-2035
7.3.4. Europe Market Revenue, By Technology, 2025-2035
7.3.5. Germany
7.3.5.1. Germany Market Revenue, By Product Type, 2025-2035
7.3.5.2. Germany Market Revenue, By Application, 2025-2035
7.3.5.3. Germany Market Revenue, By Technology, 2025-2035
7.3.6. France
7.3.6.1. Germany Market Revenue, By Product Type, 2025-2035
7.3.6.2. Germany Market Revenue, By Application, 2025-2035
7.3.6.3. Germany Market Revenue, By Technology, 2025-2035
7.3.7. U.K.
7.3.7.1. Germany Market Revenue, By Product Type, 2025-2035
7.3.7.2. Germany Market Revenue, By Application, 2025-2035
7.3.7.3. Germany Market Revenue, By Technology, 2025-2035
7.3.8. Italy
7.3.8.1. Germany Market Revenue, By Product Type, 2025-2035
7.3.8.2. Germany Market Revenue, By Application, 2025-2035
7.3.8.3. Germany Market Revenue, By Technology, 2025-2035
7.3.9. Spain
7.3.9.1. Germany Market Revenue, By Product Type, 2025-2035
7.3.9.2. Germany Market Revenue, By Application, 2025-2035
7.3.9.3. Germany Market Revenue, By Technology, 2025-2035
7.3.10. Rest of Europe
7.3.10.1. Germany Market Revenue, By Product Type, 2025-2035
7.3.10.2. Germany Market Revenue, By Application, 2025-2035
7.3.10.3. Germany Market Revenue, By Technology, 2025-2035
7.4. Asia Pacific
7.4.1. Asia Pacific Market Revenue, By Country, 2025-2035 (USD Billion)
7.4.2. Asia Pacific Market Revenue, By Product Type, 2025-2035
7.4.3. Asia Pacific Market Revenue, By Application, 2025-2035
7.4.4. Asia Pacific Market Revenue, By Technology, 2025-2035
7.4.5. China
7.4.5.1. China Market Revenue, By Product Type, 2025-2035
7.4.5.2. China Market Revenue, By Application, 2025-2035
7.4.5.3. Canada Market Revenue, By Technology, 2025-2035
7.4.6. Japan
7.4.6.1. Japan Market Revenue, By Product Type, 2025-2035
7.4.6.2. Japan Market Revenue, By Application, 2025-2035
7.4.6.3. Japan Market Revenue, By Technology, 2025-2035
7.4.7. India
7.4.7.1. India Market Revenue, By Product Type, 2025-2035
7.4.7.2. India Pacific Market Revenue, By Application, 2025-2035
7.4.7.3. India Pacific Market Revenue, By Technology, 2025-2035
7.4.8. South Korea
7.4.8.1. South Korea Market Revenue, By Product Type, 2025-2035
7.4.8.2. South Korea Market Revenue, By Application, 2025-2035
7.4.8.3. South Korea Market Revenue, By Technology, 2025-2035
7.4.9. Singapore
7.4.9.1. Singapore Market Revenue, By Product Type, 2025-2035
7.4.9.2. Singapore Market Revenue, By Application, 2025-2035
7.4.9.3. Singapore Market Revenue, By Technology, 2025-2035
7.4.10. Rest of Asia Pacific
7.4.10.1. Rest of Asia Pacific Market Revenue, By Product Type, 2025-2035
7.4.10.2. Rest of Asia Pacific Market Revenue, By Application, 2025-2035
7.4.10.3. Rest of Asia Pacific Market Revenue, By Technology, 2025-2035
7.5. Latin America
7.5.1. Latin America Market Revenue, By Country, 2025-2035 (USD Billion)
7.5.2. Latin America Market Revenue, By Product Type, 2025-2035
7.5.3. Latin America Market Revenue, By Application, 2025-2035
7.5.4. Latin America Market Revenue, By Technology, 2025-2035
7.5.5. Brazil
7.5.5.1. Brazil Market Revenue, By Product Type, 2025-2035
7.5.5.2. Brazil Market Revenue, By Application, 2025-2035
7.5.5.3. Brazil Market Revenue, By Technology, 2025-2035
7.5.6. Argentina
7.5.6.1. Argentina Market Revenue, By Product Type, 2025-2035
7.5.6.2. Argentina Market Revenue, By Application, 2025-2035
7.5.6.3. Argentina Market Revenue, By Technology, 2025-2035
7.5.7. Rest of Latin America
7.5.7.1. Rest of Latin America Market Revenue, By Product Type, 2025-2035
7.5.7.2. Rest of Latin America Market Revenue, By Application, 2025-2035
7.5.7.3. Rest of Latin America Market Revenue, By Technology, 2025-2035
7.6. MEA
7.6.1. MEA Market Revenue, By Country, 2025-2035 (USD Billion)
7.6.2. MEA Market Revenue, By Product Type, 2025-2035
7.6.3. MEA Market Revenue, By Application, 2025-2035
7.6.4. MEA Market Revenue, By Technology, 2025-2035
7.6.5. GCC Countries
7.6.5.1. GCC Countries Market Revenue, By Product Type, 2025-2035
7.6.5.2. GCC Countries Market Revenue, By Application, 2025-2035
7.6.5.3. GCC Countries Market Revenue, By Technology, 2025-2035
7.6.6. South Africa
7.6.6.1. South Africa Countries Market Revenue, By Product Type, 2025-2035
7.6.6.2. South Africa Countries Market Revenue, By Application, 2025-2035
7.6.6.3. South Africa Countries Market Revenue, By Technology, 2025-2035
7.6.7. Rest of Middle-East Africa
7.6.7.1. Rest of Middle-East Africa Countries Market Revenue, By Product Type, 2025-2035
7.6.7.2. Rest of Middle-East Africa Countries Market Revenue, By Application, 2025-2035
7.6.7.3. Rest of Middle-East Africa Countries Market Revenue, By Technology, 2025-2035
8. Company Profile
8.1. GE Healthcare
8.1.1. Business Overview
8.1.2. Financial Performance
8.1.3. Product/Service Offerings
8.1.4. Strategies & recent developments
8.1.5. SWOT Analysis
8.2. Microsoft
8.2.1. Business Overview
8.2.2. Financial Performance
8.2.3. Product/Service Offerings
8.2.4. Strategies & recent developments
8.2.5. SWOT Analysis
8.3. Butterfly Network, Inc.
8.3.1. Business Overview
8.3.2. Financial Performance
8.3.3. Product/Service Offerings
8.3.4. Strategies & recent developments
8.3.5. SWOT Analysis
8.4. Canon Medical Systems USA, Inc.
8.4.1. Business Overview
8.4.2. Financial Performance
8.4.3. Product/Service Offerings
8.4.4. Strategies & recent developments
8.4.5. SWOT Analysis
8.5. Viz.ai, Inc.
8.5.1. Business Overview
8.5.2. Financial Performance
8.5.3. Product/Service Offerings
8.5.4. Strategies & recent developments
8.5.5. SWOT Analysis
8.6. EchoNous, Inc.
8.6.1. Business Overview
8.6.2. Financial Performance
8.6.3. Product/Service Offerings
8.6.4. Strategies & recent developments
8.6.5. SWOT Analysis
8.7. HeartFlow, Inc.
8.7.1. Business Overview
8.7.2. Financial Performance
8.7.3. Product/Service Offerings
8.7.4. Strategies & recent developments
8.7.5. SWOT Analysis
8.8. Enlitic, Inc.
8.8.1. Business Overview
8.8.2. Financial Performance
8.8.3. Product/Service Offerings
8.8.4. Strategies & recent developments
8.8.5. SWOT Analysis
8.9. HeartVista Inc.
8.9.1. Business Overview
8.9.2. Financial Performance
8.9.3. Product/Service Offerings
8.9.4. Strategies & recent developments
8.9.5. SWOT Analysis
8.10. Exo Imaging, Inc
8.10.1. Business Overview
8.10.2. Financial Performance
8.10.3. Product/Service Offerings
8.10.4. Strategies & recent developments
8.10.5. SWOT Analysis
8.11. Digital Diagnostics Inc. (formerly known as Butterfly Network)
8.11.1. Business Overview
8.11.2. Financial Performance
8.11.3. Product/Service Offerings
8.11.4. Strategies & recent developments
8.11.5. SWOT Analysis
8.12. Siemens Healthineers AG
8.12.1. Business Overview
8.12.2. Financial Performance
8.12.3. Product/Service Offerings
8.12.4. Strategies & recent developments
8.12.5. SWOT Analysis
8.13. Nanox Imaging Ltd.
8.13.1. Business Overview
8.13.2. Financial Performance
8.13.3. Product/Service Offerings
8.13.4. Strategies & recent developments
8.13.5. SWOT Analysis
8.14. Advanced Micro Devices, Inc.
8.14.1. Business Overview
8.14.2. Financial Performance
8.14.3. Product/Service Offerings
8.14.4. Strategies & recent developments
8.14.5. SWOT Analysis
8.15. ContextVision (Image Enhancement Developer)
8.15.1. Business Overview
8.15.2. Financial Performance
8.15.3. Product/Service Offerings
8.15.4. Strategies & recent developments
8.15.5. SWOT Analysis
8.16. Fujifilm Medical Systems USA, Inc.
8.16.1. Business Overview
8.16.2. Financial Performance
8.16.3. Product/Service Offerings
8.16.4. Strategies & recent developments
8.16.5. SWOT Analysis
8.17. Agfa-Gevaert Group
8.17.1. Business Overview
8.17.2. Financial Performance
8.17.3. Product/Service Offerings
8.17.4. Strategies & recent developments
8.17.5. SWOT Analysis
8.18. Carestream Health
8.18.1. Business Overview
8.18.2. Financial Performance
8.18.3. Product/Service Offerings
8.18.4. Strategies & recent developments
8.18.5. SWOT Analysis
8.19. Koninklijke Philips N.V. (Philips Healthcare)
8.19.1. Business Overview
8.19.2. Financial Performance
8.19.3. Product/Service Offerings
8.19.4. Strategies & recent developments
8.19.5. SWOT Analysis
8.20. Zebra Medical Vision
8.20.1. Business Overview
8.20.2. Financial Performance
8.20.3. Product/Service Offerings
8.20.4. Strategies & recent developments
8.20.5. SWOT Analysis

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List of Tables/Graphs

Tables
TABLE 1.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 2.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR ACTIVATED CARBON, BY GEOGRAPHY, 2022-2028 (USD BILLION)
TABLE 3.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR CARBON DERIVATIVES, BY GEOGRAPHY, 2022-2028 (USD BILLION)
TABLE 4.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR METAL OXIDES, BY GEOGRAPHY, 2022-2028 (USD BILLION)
TABLE 5.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR CONDUCTIVE POLYMERS, BY GEOGRAPHY, 2022-2028 (USD BILLION)
TABLE 6.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR OTHERS, BY GEOGRAPHY, 2022-2028 (USD BILLION)
TABLE 7.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 8.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR CONSUMER ELECTRONICS, 2022-2028 (USD BILLION)
TABLE 9.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR INDUSTRIAL, BY GEOGRAPHY, 2022-2028 (USD BILLION)
TABLE 10.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR TRANSPORTATION, BY GEOGRAPHY, 2022-2028 (USD BILLION)
TABLE 11.GLOBAL ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE FOR OTHERS, BY GEOGRAPHY, 2022-2028 (USD BILLION)
TABLE 12.NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY COUNTRY, 2022-2028 (USD BILLION)
TABLE 13.NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 14.NORTH AMERICA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 15.U.S ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 16.U.S ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 17.CANADA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 18.CANADA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 19.EUROPE ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY COUNTRY, 2022-2028 (USD BILLION)
TABLE 20.EUROPE ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 21.EUROPE ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, APPLICATION, 2022-2028 (USD BILLION)
TABLE 22.GERMANY ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 23.GERMANY ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 24.U.K ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 25.U.K ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 26.FRANCE ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 27.FRANCE ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 28.ITALY ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 29.ITALY ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 30.SPAIN ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 31.SPAIN ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 32.ROE ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 33.ROE ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 34.ASIA PACIFC ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY COUNTRY, 2022-2028 (USD BILLION)
TABLE 35.ASIA PACIFC ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 36.ASIA PACIFC ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 37.CHINA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 38.CHINA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 39.INDIA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 40.INDIA ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 41.JAPAN ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 42.JAPAN ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 43.REST OF APAC ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 44.REST OF APAC ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 45.REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY TECHNOLOGY, 2022-2028 (USD BILLION)
TABLE 46.REST OF WORLD ARTIFICIAL INTELLIGENCE (AI) IN MEDICAL IMAGING MARKET VALUE, BY APPLICATION, 2022-2028 (USD BILLION)
TABLE 47.CABOT(NORIT): FINANCIALS
TABLE 48.CABOT(NORIT): PRODUCTS & SERVICES
TABLE 49.CABOT(NORIT): RECENT DEVELOPMENTS
TABLE 50.KURARY CO. LTD: FINANCIALS
TABLE 51.KURARY CO. LTD: PRODUCTS & SERVICES
TABLE 52.KURARY CO. LTD: RECENT DEVELOPMENTS
TABLE 53.BAYER MATERIALSCIENCE AG: FINANCIALS
TABLE 54.BAYER MATERIALSCIENCE AG: PRODUCTS & SERVICES
TABLE 55.BAYER MATERIALSCIENCE AG: RECENT DEVELOPMENTS
TABLE 56.CALGON CARBON CORPORATION: FINANCIALS
TABLE 57.CALGON CARBON CORPORATION: PRODUCTS & SERVICES
TABLE 58.CALGON CARBON CORPORATION: RECENT DEVELOPMENTS
TABLE 59.CARBON NT&F: FINANCIALS
TABLE 60.CARBON NT&F: PRODUCTS & SERVICES
TABLE 61.CARBON NT&F: RECENT DEVELOPMENTS
TABLE 62.SHENZHEN NTP: FINANCIALS
TABLE 63.SHENZHEN NTP: PRODUCTS & SERVICES
TABLE 64.SHENZHEN NTP: RECENT DEVELOPMENTS
TABLE 65.CECA SA: FINANCIALS
TABLE 66.CECA SA: PRODUCTS & SERVICES
TABLE 67.CECA SA: RECENT DEVELOPMENTS
TABLE 68.CNANO TECHNOLOGY: FINANCIALS
TABLE 69.CNANO TECHNOLOGY: PRODUCTS & SERVICES
TABLE 70.CNANO TECHNOLOGY: RECENT DEVELOPMENTS
TABLE 71.DONAU CHEMIE GROUP: FINANCIALS
TABLE 72.DONAU CHEMIE GROUP: PRODUCTS & SERVICES
TABLE 73.DONAU CHEMIE GROUP: RECENT DEVELOPMENTS
TABLE 74.SHOWA DENKO: FINANCIALS
TABLE 75.SHOWA DENKO: PRODUCTS & SERVICES
TABLE 76.SHOWA DENKO: RECENT DEVELOPMENTS