Artificial Intelligence In Ultrasound Imaging Market Size And Forecast by 2031
Data Bridge Market Research analyses that the Global Artificial Intelligence In Ultrasound Imaging Market which was USD 818.2 Billion in 2022 is expected to reach USD 1686.18 Million by 2030 and is expected to undergo a CAGR of 8.60% during the forecast period of 2022 to 2030. Artificial Intelligence In Ultrasound Imaging Market report provides a holistic evaluation of the market. The report offers comprehensive analysis of Size, Share, Scope, Demand, Growth, Value, Opportunities, Industry Statistics, Industry Trends, Industry Share, Revenue Analysis, Revenue Forecast, Future Scope, Challenges, Growth Drivers, leaders, graph, insights, Research Report, companies, overview, outlook and factors that are playing a substantial role in the market.
Global Artificial Intelligence In Ultrasound Imaging Market Segmentation Analysis
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.
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Which are the top companies operating in the Artificial Intelligence In Ultrasound Imaging Market?
The “Global Artificial Intelligence In Ultrasound Imaging Market ”study report will provide a valuable insight with an emphasis on the global market. The report profiles noticeable organizations working in the water purifier showcase and the triumphant methodologies received by them. It likewise reveals insights about the share held by each organization and their contribution to the Artificial Intelligence In Ultrasound Imaging Market extension. This Artificial Intelligence In Ultrasound Imaging Market report provides the information of the Top 10 Companies in Artificial Intelligence In Ultrasound Imaging Market in the market their business strategy, financial situation etc.
**Segments**
- Based on Component:
- Hardware
- Software
- Based on Application:
- Radiology
- Cardiology
- Obstetrics/Gynecology
- Others
- Based on Therapeutics:
- Diagnostic
- Interventional
- Based on Modality:
- Portable
- Trolley/Cart-based
- Based on End User:
- Hospitals
- Diagnostic Centers
- Others
The global Artificial Intelligence in Ultrasound Imaging market is expected to witness substantial growth from 2022 to 2030. The market is segmented based on components, applications, therapeutics, modalities, and end users. The component segment includes hardware and software, with the software segment anticipated to have a significant share due to the increasing demand for advanced imaging solutions. In terms of applications, the market is categorized into radiology, cardiology, obstetrics/gynecology, and others, with radiology expected to dominate the market during the forecast period. Therapeutics segment is further bifurcated into diagnostic and interventional ultrasound, with the diagnostic segment likely to hold a substantial market share. The modality segment includes portable and trolley/cart-based systems, with portable ultrasound systems anticipated to witness high demand owing to their ease of use and mobility. On the basis of end users, the market caters to hospitals, diagnostic centers, and others, with hospitals expected to be the key end users driving market growth.
**Market Players**
- General Electric Company
- Siemens Healthineers AG
- Koninklijke Philips N.V.
- Canon Medical Systems Corporation
- Hitachi, Ltd.
- Samsung Medison Co., Ltd.
- Butterfly Network, Inc.
- Clarius Mobile Health
- Mindray DS USA, Inc.
- Fujifilm Corporation
The global Artificial Intelligence in Ultrasound Imaging market is highly competitive with the presence of several key players striving to gain a competitive edge through strategies such as partnerships, collaborations, The global Artificial Intelligence in Ultrasound Imaging market is set to experience robust growth from 2022 to 2030, driven by advancements in technology, increasing demand for accurate diagnostic tools, and the rising prevalence of various medical conditions that require ultrasound imaging. The market segmentation based on components, applications, therapeutics, modalities, and end users provides a comprehensive overview of the diverse landscape in which AI is playing a crucial role in ultrasound imaging applications.
The component segment of the market consists of hardware and software, with software expected to witness significant growth due to the need for advanced imaging solutions that leverage AI algorithms for precision and efficiency. Software solutions are increasingly being integrated into ultrasound systems to enhance image quality, automate processes, and provide real-time analysis, thereby improving diagnostic accuracy and clinical outcomes.
In terms of applications, radiology is projected to dominate the market, driven by the increasing adoption of AI-based ultrasound imaging solutions for the early detection and diagnosis of various medical conditions. Cardiology and obstetrics/gynecology segments are also anticipated to witness substantial growth due to the rising demand for personalized and precise diagnostic imaging in these specialties.
The therapeutics segment of the market includes diagnostic and interventional ultrasound, with diagnostic ultrasound expected to hold a significant market share. Diagnostic ultrasound has evolved as a fundamental tool for non-invasive imaging, aiding in the visualization of internal organs and tissues for diagnostic purposes. The integration of AI technologies in diagnostic ultrasound systems has further enhanced the accuracy and efficiency of imaging procedures.
The modality segment comprises portable and trolley/cart-based ultrasound systems, with the portable segment poised to witness high demand. Portable ultrasound systems offer flexibility, convenience, and point-of-care imaging capabilities, making them ideal for use in various clinical settings, including emergency rooms, ambulatory care centers, and remote locations.
End users in the AI in ultrasound imaging market primarily include hospitals, diagnostic centers, and other healthcare facilities. Hospitals are expected to be the key end users, driven by the growing need for advanced imaging technologies to improve patient**Market Players:**
- 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)
The global Artificial Intelligence in Ultrasound Imaging market is poised for substantial growth from 2022 to 2030, driven by technological advancements, increased demand for precise diagnostic tools, and the prevalence of medical conditions necessitating ultrasound imaging. The market's segmentation based on components, applications, therapeutics, modalities, and end-users provides a detailed insight into how AI is revolutionizing ultrasound imaging applications.
The competition in the AI in ultrasound imaging market is intense, with key players continuously aiming to enhance their market positions through strategic collaborations and partnerships. General Electric Company, Siemens Healthineers AG, Koninklijke Philips N.V., and other prominent market players are investing in research and development activities to introduce innovative AI
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Research Methodology of Data bridge Market Research:
Data Bridge Market Research typically follows a comprehensive research methodology for analyzing and reporting on market trends, including the Artificial Intelligence In Ultrasound Imaging Market. The research methodology generally involves the following steps:
1. Data Collection
- Primary Research: This involves conducting interviews, surveys, and direct interactions with industry experts, market participants, and key opinion leaders. Primary data is crucial for gaining insights into the market's current dynamics, trends, and growth factors.
- Secondary Research: This includes gathering data from publicly available sources like company reports, press releases, industry journals, government publications, and reputable databases. Secondary research helps in understanding the market's historical trends and the competitive landscape.
2. Market Segmentation and Data Analysis
- Segmentation: The Artificial Intelligence In Ultrasound Imaging Market is segmented based on various factors such as type, application, region, and end-user. This segmentation allows for a more detailed analysis of each Artificial Intelligence In Ultrasound Imaging Market segment.
- Data Analysis: Advanced analytical tools and techniques, such as SWOT analysis, PESTLE analysis, Porter’s Five Forces analysis, and regression analysis, are used to interpret the data. These tools help in identifying key market trends, growth drivers, opportunities, and challenges.
3. Market Estimation
- Top-Down and Bottom-Up Approaches: These approaches are used to estimate and validate the market size. The top-down approach involves analyzing the overall market and then narrowing it down to specific segments, while the bottom-up approach starts from individual segments and aggregates them to estimate the total market size.
- Data Triangulation: Multiple data sources are compared and analyzed to ensure the accuracy and reliability of the market estimates.
4. Validation
- Expert Validation: The findings and market estimates are validated through discussions with industry experts and key stakeholders. This step ensures that the data and insights are accurate and reflect the market reality.
- Cross-Verification: The data is cross-verified with multiple sources to ensure consistency and accuracy.
5. Report Compilation and Presentation
- Drafting the Report: Once the data analysis is complete, the findings are compiled into a comprehensive report. The report includes a detailed analysis of market trends, forecasts, competitive landscape, and strategic recommendations.
- Final Review: The report undergoes a final review to ensure that it meets the quality standards and provides valuable insights to the clients.
6. Ongoing Updates
- Continuous Monitoring: The market is continuously monitored, and the reports are updated periodically to reflect the latest market trends and developments.
This structured approach ensures that the research conducted by Data Bridge Market Research is thorough, accurate, and provides actionable insights for stakeholders in the Artificial Intelligence In Ultrasound Imaging Market.
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