Global Artificial Intelligence in Ultrasound Imaging Market, By Solution (Devices, Software Tools or Platforms, Services), Technology (Machine Learning, Natural Language Processing, Context- Aware Computing, Computer Vision), Ultrasound Technology (Diagnostic Imaging, Therapeutic, 2D, 3D/4D Ultrasound Imaging, High Intensity Focused Ultrasound, Extracorporeal Shockwave Lithotripsy, Doppler Ultrasound), Application (Radiology, Obstetrics and Gynaecology, Cardiovascular, Gastroenterology), End- User (Hospitals and Providers, Patients, Pharmaceutical and Biotechnology Companies, Healthcare Payers) - Industry Trends and Forecast to 2030.
Artificial Intelligence in Ultrasound Imaging Market Analysis and Size
Ultrasound imaging is measured as one of the best, safest and cheapest medical diagnostics technique. AI powered solutions have enhanced the effectiveness and diagnostic accurateness. AI technologies are making the imaging devices smarter and are also helping the clinicians to focus more on the patient and to examine the problem acutely. The rising use of imaging biomarkers and quantitative imaging in clinical practice is amongst the important factors intensifying the growth and demand of global artificial intelligence in ultrasound imaging market.
Data Bridge Market Research analyses that the global artificial intelligence in ultrasound imaging market which was USD 818.20 million in 2022, is expected to reach USD 1,686.18 million by 2030, and is expected to undergo a CAGR of 8.60% during the forecast period 2023-2030. “Machine learning” dominates the technology segment of the global artificial intelligence in ultrasound imaging market owing to the rising popularity. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.
Artificial Intelligence in Ultrasound Imaging Market Scope and Segmentation
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Report Metric
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Details
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Forecast Period
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2023 to 2030
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Base Year
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2022
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Historic Years
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2021 (Customizable to 2015-2020)
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Quantitative Units
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Revenue in USD Million, Volumes in Units, Pricing in USD
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Segments Covered
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Solution (Devices, Software Tools or Platforms, Services), Technology (Machine Learning, Natural Language Processing, Context- Aware Computing, Computer Vision), Ultrasound Technology (Diagnostic Imaging, Therapeutic, 2D, 3D/4D Ultrasound Imaging, High Intensity Focused Ultrasound, Extracorporeal Shockwave Lithotripsy, Doppler Ultrasound), Application (Radiology, Obstetrics and Gynaecology, Cardiovascular, Gastroenterology), End- User (Hospitals and Providers, Patients, Pharmaceutical and Biotechnology Companies, Healthcare Payers)
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Countries Covered
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U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America
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Market Players Covered
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NVIDIA Corporation (U.S.), Intel Corporation (U.S.), IBM (U.S.), EchoNous, Inc. (U.S.), Microsoft (U.S.), General Vision Inc. (U.S.), GENERAL ELECTRIC COMPANY (U.S.), Johnson & Johnson Services, Inc. (U.S.), Siemens Healthcare Private Limited (U.S.), Medtronic (U.S.), CloudMedx Inc. (U.S.), Agfa-Gevaert Group (Belgium), Butterfly Network, Inc. (U.S.), Imagia Cybernetics Inc. (Canada), Enlitic, Inc. (U.S.), Micron Technology, Inc. (U.S.) and SAMSUNG (South Korea)
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Market Opportunities
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Market Definition
Artificial intelligence (AI) in ultrasound imaging refers to the integration of advanced computer algorithms and machine learning techniques into the field of medical ultrasound. AI systems are designed to analyze ultrasound images with remarkable precision and speed. They can automatically detect and highlight anomalies, measure structures, and provide diagnostic insights, assisting healthcare professionals in making more accurate and efficient diagnoses. AI algorithms learn from vast datasets of ultrasound images, continually improving their diagnostic capabilities. This technology holds the potential to enhance healthcare by enabling earlier detection of diseases, improving patient outcomes, and streamlining the diagnostic process.
Global Artificial Intelligence in Ultrasound Imaging Market Dynamics
Drivers
- Advancements in AI Technology
Continuous progress in AI technology, particularly in deep learning and computer vision, has resulted in more sophisticated algorithms capable of handling complex medical imaging data. These algorithms can automatically detect patterns, anomalies, and features in ultrasound images, aiding radiologists and clinicians in their diagnoses. Moreover, AI can adapt and improve over time through machine learning, enhancing its diagnostic capabilities as it learns from a vast amount of medical data.
- Growing Medical Imaging Needs
The increasing need for medical imaging, including ultrasound, is propelled by demographic shifts such as an aging population and rising healthcare demands. This surge in patient volume places strain on healthcare systems, necessitating solutions to provide timely and accurate diagnostics. AI can alleviate this burden by automating image analysis, allowing healthcare providers to efficiently manage the higher caseload while maintaining diagnostic precision. This makes AI a valuable tool for addressing the growing demand for medical imaging services.
Opportunities
- Improved Diagnostic Accuracy
AI's role in ultrasound imaging lies in its ability to identify nuanced abnormalities and patterns within images. This can be especially crucial in cases where human interpretation might be prone to error or oversight. AI can assist radiologists by highlighting potential issues, resulting in more accurate and early diagnoses. This not only boosts patient outcomes but also reduces the likelihood of misdiagnoses.
- Enhanced Screening and Monitoring
AI-driven ultrasound systems enable efficient and continuous patient screening and monitoring. In fields like obstetrics, this means more frequent and comprehensive assessments, leading to early detection of complications and better maternal-fetal care. In chronic disease management, continuous monitoring through AI helps healthcare providers track disease progression in real-time, allowing for timely interventions and more effective treatment strategies.
Restraint/Challenge
- High Costs of the AI Based Devices and Software
The costs of AI-based devices and software is high. Moreover, health professionals lack the technical knowledge of operating advanced AI technologies. Therefore, the demand for third-party service providers is increasing, which is further, boosting the costs for the healthcare units. Therefore, small and medium-sized clinics and hospitals restrict themselves to adopt the AI-based ultrasound imaging devices. This may hamper the market growth.
This global artificial intelligence in ultrasound imaging market report provides details of new recent developments, trade regulations, import-export analysis, production analysis, value chain optimization, market share, impact of domestic and localized market players, analyses opportunities in terms of emerging revenue pockets, changes in market regulations, strategic market growth analysis, market size, category market growths, application niches and dominance, product approvals, product launches, geographic expansions, technological innovations in the market. To gain more info on the global artificial intelligence in ultrasound imaging market contact Data Bridge Market Research for an Analyst Brief, our team will help you take an informed market decision to achieve market growth.
Recent Development
- In July 2020, Zebra Medical Vision entered into a strategic collaboration with TELUS Ventures. This strategy aimed at increasing the presence of Zebra Medical’s presence across North America to launch its AI solutions to the healthcare providers
Global Artificial Intelligence in Ultrasound Imaging Market Scope
The global artificial intelligence in ultrasound imaging market is segmented on the basis of solution, technology, ultrasound technology, application and end user. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
Solution
- Devices
- Software Tools or Platforms
- Services
Technology
- Machine Learning
- Natural Language Processing
- Context- Aware Computing
- Computer Vision
Ultrasound Technology
- Diagnostic Imaging
- Therapeutic
- 2D, 3D/4D Ultrasound Imaging
- High Intensity Focused Ultrasound
- Extracorporeal Shockwave Lithotripsy
- Doppler Ultrasound
Application
- Radiology
- Obstetrics and Gynecology
- Cardiovascular
- Gastroenterology
End Users
- Hospitals and Providers
- Patients
- Pharmaceutical and Biotechnology Companies
- Healthcare Payers
Global Artificial intelligence in Ultrasound Imaging Market Regional Analysis/Insights
The global artificial intelligence in ultrasound imaging market is analysed and market size insights and trends are provided by country, basis of solution, technology, ultrasound technology, application and end user as referenced above.
The countries covered in the global artificial intelligence in ultrasound imaging market report are U.S., Canada and Mexico in North America, Germany, France, U.K., Netherlands, Switzerland, Belgium, Russia, Italy, Spain, Turkey, Rest of Europe in Europe, China, Japan, India, South Korea, Singapore, Malaysia, Australia, Thailand, Indonesia, Philippines, Rest of Asia-Pacific (APAC) in the Asia-Pacific (APAC), Saudi Arabia, U.A.E, South Africa, Egypt, Israel, Rest of Middle East and Africa (MEA) as a part of Middle East and Africa (MEA), Brazil, Argentina and Rest of South America as part of South America.
North America region leads the global artificial intelligence in ultrasound imaging market owing to the rapid advancements and adoption of artificial intelligence technologies within the region.
Asia-Pacific is expected to expand at a significant growth rate over the forecast period 2023-2030 because of the better infrastructure for healthcare IT and steadily increasing adoption of advanced technologies within this particular region.
The country section of the report also provides individual market impacting factors and changes in regulation in the market domestically that impacts the current and future trends of the market. Data points like down-stream and upstream value chain analysis, technical trends and porter's five forces analysis, case studies are some of the pointers used to forecast the market scenario for individual countries. Also, the presence and availability of global brands and their challenges faced due to large or scarce competition from local and domestic brands, impact of domestic tariffs and trade routes are considered while providing forecast analysis of the country data.
Healthcare Infrastructure Growth Installed Base and New Technology Penetration
The global artificial intelligence in ultrasound imaging market also provides you with detailed market analysis for every country growth in healthcare expenditure for capital equipment, installed base of different kind of products for global artificial intelligence in ultrasound imaging market, impact of technology using life line curves and changes in healthcare regulatory scenarios and their impact on the global artificial intelligence in ultrasound imaging market. The data is available for historic period 2015-2020.
Competitive Landscape and Global Artificial intelligence in ultrasound imaging market Share Analysis
The global artificial intelligence in ultrasound imaging market competitive landscape provides details by competitor. Details included are company overview, company financials, revenue generated, market potential, investment in research and development, new market initiatives, global presence, production sites and facilities, production capacities, company strengths and weaknesses, product launch, product width and breadth, application dominance. The above data points provided are only related to the companies' focus related to global artificial intelligence in ultrasound imaging market.
Some of the major players operating in the global artificial intelligence in ultrasound imaging market are:
- NVIDIA Corporation (U.S.)
- Intel Corporation (U.S.)
- IBM (U.S.)
- EchoNous, Inc. (U.S.)
- Microsoft (U.S.)
- General Vision Inc. (U.S.)
- GENERAL ELECTRIC COMPANY (U.S.)
- Johnson & Johnson Services, Inc. (U.S.)
- Siemens Healthcare Private Limited (U.S.)
- Medtronic (U.S.)
- CloudMedx Inc. (U.S.)
- Agfa-Gevaert Group (Belgium)
- Butterfly Network, Inc. (U.S.)
- Imagia Cybernetics Inc. (Canada)
- Enlitic, Inc. (U.S.)
- Micron Technology, Inc. (U.S.)
- SAMSUNG (South Korea)
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