Global AI in Medical Imaging Market to Reach USD 20.21 Billion by 2030, Growing at a CAGR of 36.07%

Global AI in Medical Imaging Market Expected to Reach USD 20.21 Billion by 2030, Growing at a CAGR of 36.07%

Global AI in Medical Imaging Market Set to Surpass USD 20.21 Billion by 2030, Driven by Rapid Technological Advancements

Summary:
The global AI in Medical Imaging market was valued at USD 2.34 billion in 2023 and is anticipated to grow at a remarkable CAGR of 36.07% during the forecast period, reaching USD 20.21 billion by 2030. This growth is driven by the increasing adoption of AI technologies for medical imaging applications across various healthcare sectors, including oncology, neurology, and cardiology. The report provides a comprehensive analysis of market trends, dynamics, competitive landscape, and the key players contributing to the market’s expansion.

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A) Market Size
The global AI in Medical Imaging market was valued at USD 2.34 billion in 2023. It is projected to witness a substantial growth rate of 36.07% during the forecast period, reaching USD 20.21 billion by 2030. This growth is primarily attributed to the technological innovations and increasing integration of AI systems in healthcare applications, particularly medical imaging solutions.

B) Scope and Research Methodology
The research for this report was conducted through a combination of primary and secondary methods. Primary research included expert interviews and surveys with key industry stakeholders, while secondary research involved gathering data from existing market reports, government publications, and trade journals. The study provides detailed insights into the current market trends, competitive landscape, and growth drivers in the AI in Medical Imaging market.

C) Report Coverage
The report offers in-depth coverage of the following areas:

  • Market size and forecast
  • Market dynamics, including drivers, restraints, and opportunities
  • Competitive landscape and key players
  • Market segmentation based on technology, application, and end-users
  • Regional and country-level market analysis

D) Overview
AI in medical imaging is revolutionizing the way healthcare professionals diagnose and treat medical conditions. The integration of AI technologies such as machine learning and natural language processing with imaging modalities like X-ray, MRI, and CT scans has proven to enhance diagnostic accuracy and efficiency. This has led to an increased adoption of AI in medical imaging across various healthcare settings, including hospitals, diagnostic centers, and research institutions.

E) Dynamics
The growth of AI in medical imaging is driven by factors such as:

  • Increasing demand for accurate and early disease diagnosis
  • Advancements in AI algorithms and machine learning technologies
  • Rising healthcare expenditures and demand for automation
  • Growing awareness and adoption of AI in emerging economies

However, challenges such as data privacy concerns, regulatory hurdles, and the high cost of AI solutions may restrain market growth to some extent.

F) Segmentation

  • By Imaging Mode:
    • X-ray
    • MRI (Magnetic Resonance Imaging)
    • Computed Tomography (CT) 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

G) Key Players Include

  • North America:
    • GE Healthcare (United States)
    • IBM Watson Health (United States)
    • NVIDIA Corporation (United States)
    • Aidoc (United States)
    • Butterfly Network (United States)
  • Europe:
    • Siemens Healthineers (Germany)
    • Philips Healthcare (Netherlands)
    • Sectra AB (Sweden)
    • Agfa-Gevaert Group (Belgium)
    • Zebra Medical Vision (Israel)
  • Asia Pacific:
    • Canon Medical Systems Corporation (Japan)
    • Ping An Healthcare (China)
    • Infervision (China)
    • Carestream Health (United States)
  • Latin America:
    • Grupo Fleury (Brazil)
    • Radiologia Integrada (Chile)

H) Reason to Buy

  • Stay ahead of the competition with detailed market trends and insights.
  • Make informed strategic decisions based on accurate market data.
  • Identify key opportunities and threats in the evolving medical imaging sector.
  • Tailor business plans to meet emerging trends and consumer demands.

I) Table of Contents

  1. Introduction
    • Market Definition and Scope
    • Research Methodology
  2. Market Overview
    • Key Market Drivers and Challenges
    • Opportunities in the Market
  3. Segmentation Analysis
    • By Imaging Mode
    • By Technology
    • By Application
    • By End-User
    • By Deployment Mode
  4. Competitive Landscape
    • Market Share Analysis
    • Key Players and their Strategies
  5. Regional Insights
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East and Africa
  6. Conclusion and Future Outlook
  7. Appendix

If you have any inquiries regarding this report, please contact us via the link below: https://www.maximizemarketresearch.com/market-report/ai-artificial-intelligence-in-medical-imaging-market/190416/ 

Signature/ About Us:
Maximize Market Research is a leading market research and consulting firm offering insightful business solutions to a global client base. With a focus on actionable insights, we cater to industries such as healthcare, technology, automotive, and many more. Our expert team provides clients with data-driven reports, enabling them to make informed decisions and remain competitive in their respective industries.

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