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ARTIFICIAL INTELLIGENCE IN ULTRASOUND IMAGING MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)

Artificial Intelligence In Ultrasound Imaging Market, By Solution (Hardware, Software, and Services), By Technology (Machine Learning, Natural Language Processing, Context- Aware Computing, Computer Vision), By Ultrasound Type (Diagnostic Imaging, Therapeutic, 2D, 3D/4D Ultrasound Imaging, High Intensity Focused Ultrasound, Extracorporeal Shockwave Lithotripsy, and Doppler Ultrasound), By Application (Radiology, Cardiovascular, Gastroenterology, Obstetrics and Gynecology), By End-User (Hospitals, Clinics, Research Labs & Diagnostic Imaging Centers, Maternity Centers, and Ambulatory Surgical Centers), By Geography (North America, Latin America, Asia Pacific, Europe, Middle East, and Africa)

  • Published In : Jul 2024
  • Code : CMI7194
  • Pages :180
  • Formats :
      Excel and PDF
  • Industry : Pharmaceutical
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Artificial Intelligence (AI) in healthcare is transforming medical imaging with the use of deep learning algorithms. One such application is the use of AI in ultrasound imaging. Ultrasound imaging is a commonly used imaging technique due to its non-invasive and cost-effective nature. However, ultrasound images can be challenging to interpret due to artifacts and presence of noise. AI has the potential to overcome these challenges in ultrasound imaging by automating clinical workflows and providing quantitative tools to assist radiologists. The global artificial intelligence in ultrasound imaging market is expected to witness significant growth due to the rising demand for accurate and fast diagnosis along with increasing adoption of AI solutions among healthcare providers to enhance productivity.

Market Dynamics:

The global artificial intelligence in ultrasound imaging market is driven by the rising geriatric population suffering from chronic diseases, increasing demand for minimally invasive diagnostic procedures, and benefits of AI such as improved workflow efficiency and accuracy of diagnosis. However, lack of skilled AI workforce and security & privacy concerns of patient data could hinder the market growth. The market players have opportunities to develop advanced AI-based applications to enhance various applications of ultrasound like fetal ultrasound, cardiac ultrasound, and abdominal ultrasound imaging. Partnerships with device manufacturers and healthcare providers would help gain higher penetration in the market.

Key Features of the Study:

- This report provides in-depth analysis of the global artificial intelligence in ultrasound imaging market, and provides market size (USD Million) and compound annual growth rate (CAGR%) for the forecast period (2024–2031), considering 2023 as the base year

- It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market

- This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players

- It profiles key players in the global artificial intelligence in ultrasound imaging market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies

- Key companies covered as a part of this study include Philips Healthcare, GE Healthcare, NVIDIA Corporation, Samsung Medison, Hitachi, Terason Corporation

- Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics

- The global artificial intelligence in ultrasound imaging market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts

- Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global artificial intelligence in ultrasound imaging market.

Detailed Segmentation-

  • By Solution
    • Hardware
    • Software
    • Service
  • By Technology
    • Machine Learning
    • Natural Language Processing
    • Context- Aware Computing
    • Computer Vision
  • By Ultrasound Type
    • Diagnostic Imaging
    • Therapeutic
    • 2D, 3D/4D Ultrasound Imaging
    • High Intensity Focused Ultrasound
    • Extracorporeal Shockwave Lithotripsy
    • Doppler Ultrasound
  • By Application
    • Radiology
    • Cardiovascular
    • Gastroenterology
    • Obstetrics and Gynecology
  •  By End User
    • Hospitals
    • Clinics
    • Research Labs & Diagnostic Imaging Centers
    • Maternity Centers
    • Ambulatory Surgical Center
  • By Region:         
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East
    • Africa
  • Company Profiles:
    • NVIDIA Corporation
    • Intel Corporation
    • IBM
    • EchoNous, Inc.
    • Microsoft
    • General Vision Inc.
    • GENERAL ELECTRIC COMPANY
    • Johnson & Johnson Services, Inc.
    • Siemens Healthcare Private Limited
    • Medtronic
    • CloudMedx Inc.
    • Agfa-Gevaert Group
    • Butterfly Network, Inc.
    • Imagia Cybernetics Inc.
    • Enlitic, Inc.
    • Micron Technology, Inc.
    • SAMSUNG

Detailed Segmentation-

  • By Solution
    • Hardware
    • Software
    • Service
  • By Technology
    • Machine Learning
    • Natural Language Processing
    • Context- Aware Computing
    • Computer Vision
  • By Ultrasound Type
    • Diagnostic Imaging
    • Therapeutic
    • 2D, 3D/4D Ultrasound Imaging
    • High Intensity Focused Ultrasound
    • Extracorporeal Shockwave Lithotripsy
    • Doppler Ultrasound
  • By Application
    • Radiology
    • Cardiovascular
    • Gastroenterology
    • Obstetrics and Gynecology
  •  By End User
    • Hospitals
    • Clinics
    • Research Labs & Diagnostic Imaging Centers
    • Maternity Centers
    • Ambulatory Surgical Center
  • By Region:         
    • North America
    • Europe
    • Asia Pacific
    • Latin America
    • Middle East
    • Africa
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