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Ai In Medical Imaging Market

AI in Medical Imaging Market Component Type (Platform, Software, and Services), Imaging Type (2D Imaging, 3D Imaging, and 4D Imaging), Technology (X-Ray, Computed Tomography, Magnetic Resonance Imaging, Ultrasound Imaging, and Molecular Imaging), Application (Orthopedic, Dental, Neurology, Cardiology, Oncology, Gynecology, and Others), and Industry Vertical (Hospitals, Clinics, and Research Laboratories & Diagnostic Centers, Healthcare, Biotechnology, Pharmaceuticals, Medical Devices, and Others): Global Opportunity Analysis and Industry Forecast, 2021–2030

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Sep 2022 | 698 Views
Author(s) : Vineet Kumar
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AI in Medical Imaging Market Statistics: 2030

Medical imaging can be described as the diagnostic procedure that involves the creation of visual aids and image representations of the human body, and involves the monitoring of performance and functioning of the organs of the human body. There is a change in the way the diagnostics and the entire procedure is carried out with the integration of artificial intelligence (AI) in healthcare and medical imaging. The AI assists the surgeons in carrying out the image capturing process and the diagnosis of these images for the conclusion and personalized treatment with respect to every individual and patient. Artificial intelligence mainly consists of robots and machine learning. Machine learning involves the recognition and application of algorithm in computer systems for rendering of images. Whereas, robots are engaged in the assistance of patients, doctors and operators in the visualization and diagnostic procedures.

Report Matric


 Market size available for the years


 Base year considered


 Forecast period


 Forecast unit

 Value (USD)

 Segments covered

  • Component Type
  • Imaging Type
  • Technology
  • Application
  • Industry Vertical
  • Region

 Regions covered

  • North America (U.S. and Canada),
  • Europe (Germany, UK, France, and the Rest of Europe),
  • Asia-Pacific (China, Japan, India, and the Rest of Asia-Pacific).
  • LAMEA (Latin America, Middle East, and Africa)

 Companies covered


  1. Fujifilm Holdings Corporation
  2. General Electric Company
  3. Hologic, Inc.
  4. Hyperfine
  5. iCAD, Inc.
  6. Koninklije Philips N.V.
  8. Nanox
  9. Nuance Communications, Inc.
  10. NVIDIA Corporation
  11. Siemens Healthineers AG
  12. Synopsys, Inc.
  13. VUNO lnc.
  14. Zebra Medical Vision, Inc.
  15. Others

COVID-19 scenario Analysis:

  • The emergence of COVID-19 pandemic has severely affected almost all industries except Healthcare across the world. Further, lockdown restriction on movement has disrupted the supply chain across the globe and affected the distribution of the medical image analysis software’s. Medical imaging has the prime field in the healthcare industry in developing AI enabled solutions.
  • The outbreak of COVID-19 pandemic has considering the large use of radiology has increased in various hospitals due to COVID-19 for imaging of lung and infectious disease across the globe.
  • In addition, it is notable the changes in the consumer behavior and demand, purchasing patterns, re-routing of the supply chain, current AI in medical imaging market forces, and significant interventions of governments. Several government have also playing important role in sustain the adoption of AI enabled imaging solutions to overcome this crisis.
  • Furthermore, there are strong indications that the current pandemic has pushed the demand for technology and digital solutions. In the medium-to-long run the COVID-19 technology impact may be extremely positive. Everyone is forced to embrace new AI-Enabled technologies and discover their benefits. Additional investments in digital infrastructure can be expected.

Top impacting factors: Market Scenario Analysis, Trends, Drivers, and Impact Analysis

Increase in incidence of chronic diseases, rise in demand for healthcare services for the aging population, and continuous developments in the field of imaging technology, such as computer aided diagnosis are the major factors expected to drive the growth of the medical image analysis software market. 

AI-based Computer Vision in Healthcare to Improve Care Models:

Advanced AI technology and tools is expected to play a key role in transforming the healthcare and radiology space in the coming years. The adoption of AI in the medical sphere, especially in radiology, is anticipated to present a plethora of opportunities for companies involved in the current AI in medical imaging industry. Major key factors that will help to improve the adoption of AI in medical imaging, such as radiology, is the widening gap between the ascending number of scans and the number of available radiologists that can read data.

Reluctance among medical practitioners to adopt AI-based technologies:

Extensive growth in digital health has enabled healthcare providers to assist patients through novel treatment. AI technologies offer doctors with tools that help them better diagnose and effectively treat patients. However, there is an observed reluctance among doctors about new technologies. Doctors and radiologists believe that skills such as empathy and persuasion are human skills, and thus, technologies cannot completely rule out the presence of a doctor. In addition, there is a concern that patients may show an excessive inclination toward these technologies and may forgo necessary in-person treatments, which might also challenge long-term doctor-patient relationships.

Key Segments covered:



 Component Type

  • Software
  • Services

 Imaging Type

  • 2D Imaging
  • 3D Imaging
  • 4D Imaging


  • X-Ray
  • Computed Tomography
  • Magnetic Resonance Imaging
  • Ultrasound Imaging
  • Molecular Imaging


  • Orthopedic
  • Dental
  • Neurology
  • Cardiology
  • Oncology
  • Gynecology
  • Others

 Industry Vertical

  • Hospitals
  • Clinics
  • Research Laboratories
  • Diagnostic Centers
  • Healthcare
  • Pharmaceuticals
  • Medical Devices
  • Others

Key benefits of the report:

  • This study presents the analytical depiction of the global AI in medical imaging market along with the current trends and future estimations to determine the imminent investment pockets.
  • The report presents information related to key drivers, restraints, and opportunities along with detailed analysis of global AI in medical imaging market share.
  • The current market is quantitatively analyzed from 2020 to 2030 to highlight the global AI in medical imaging market growth scenario.
  • Porter’s five forces analysis illustrates the potency of buyers & suppliers in the AI in medical imaging market.
  • The report provides detailed global AI in medical imaging market analysis based on competitive intensity and how the competition will take shape in coming years.

Key Market Segments & Key Market Players

Segments Sub-segments
By Component
  • Software
  • Services

By Technology
  • Machine Learning
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision

By Application
  • Patient Data & Risk Analysis
  • Inpatient Care & Hospital Management
  • Medical Imaging & Diagnostics
  • Lifestyle Management & Monitoring
  • Virtual Assistants
  • Drug Discovery
  • Research
  • Healthcare Assistant Robots
  • Precision Medicine
  • Emergency Room & Surgery
  • Wearables
  • Mental Health
  • Cybersecurity

By Industry Vertical
  • Hospital & Healthcare Providers
  • Patients
  • Pharmaceuticals & Biotechnology Companies
  • Healthcare Payers
  • Others

By Region
  • North America
    • U.S.
    • Canada
  • Europe
    • France
    • Germany
    • Italy
    • Spain
    • UK
    • Russia
    • Rest of Europe
  • Asia-Pacific
    • China
    • Japan
    • India
    • South Korea
    • Australia
    • Thailand
    • Malaysia
    • Indonesia
    • Rest of Asia-Pacific
    • Latin America
    • Middle East
    • Africa

Key Market Players
  • Atlas Wearables
  • Biotronik
  • Cisco Systems
  • General Electronic company
  • Philips
  • Medtronic
  • IBM Corporation
  • Siemens
  • Hill-Rom
  • Johnson & Johnson.

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