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The Artificial Intelligence in Ultrasound Imaging Market Size was valued at USD 889.1 Mn in 2023 and is expected to reach USD 2047.7 Mn by 2032 and grow at a CAGR of 8.7% over the global forecast period of 2024-2032.
The growing prevalence of lifestyle and chronic diseases within the global population is mainly driving the demand for AI-back ultrasound imaging. This trend is reflected in alarming health statistics. According to International Agency for Research on Cancer, in 2020 nearly 19.3 million new cases of cancer were detected worldwide, and almost 10 million deaths were related to cancer. These numbers are estimated to grow by 47% by 2040, hence the immense need for more precise diagnostic tools. Cardiovascular diseases also amount to around 32% of world deaths based on the review of the World Health Organization (WHO). International Diabetes Federation also projects that the total global diabetic population is going to hike up to 783 million by 2045.
As incidence levels of chronic diseases continue ascending, so does the urgency for healthcare systems to dispense quick and effective service. More imperative in this regard is the potential of advanced technologies such as AI in ultrasound imaging. It will thus be easier for healthcare providers to perform faster examinations with a greater degree of accuracy, hence quicker diagnosis and higher-quality patient outcomes directly result. This technology is expected to have a big impact in light of mitigating the burden of the hospitals, hence making effective management of increasing numbers of hospital admissions and chronic disease patients. Therefore, this ultrasound imaging AI take-up shall increase multifold in the coming years ahead.
Major AI Technologies And Their Features
| Technology | Company | Key Features |
|
Acuson Origin |
Siemens Healthineers |
Features include automated measurements, view recognition, imaging assistance, real-time cardiac view recognition, automated contouring, and quantification of cardiac chambers. |
|
EPIQ CVx and Affiniti CVx |
Philips |
These systems offer automated tools for segmental wall motion scoring and 3D quantification of mitral regurgitation, aimed at enhancing cardiovascular imaging and diagnosis. |
|
Venue Ultrasound Systems |
GE HealthCare |
Incorporates the Caption Guidance feature, providing real-time support to clinicians in capturing optimal cardiac images, especially useful in emergency settings. |
|
Lumify with Reacts |
Philips |
Portable ultrasound system that integrates tele-ultrasound capabilities, allowing remote live sharing of images and video streams during scans. |
|
Clarius Handheld Ultrasound |
Clarius Mobile Health |
Offers high-definition ultrasound imaging with AI for automatic calculations and measurements, suitable for various medical fields including emergency and primary care. |
|
Butterfly iQ |
Butterfly Network |
A handheld, whole-body ultrasound system equipped with AI to assist in image acquisition and interpretation, enhancing its usability across multiple clinical scenarios. |
|
SonoSite SII |
Fujifilm Sonosite |
Focuses on enhancing point-of-care ultrasound with AI-driven image enhancement for clearer imaging, aiding rapid decision-making in clinical and field settings. |
|
GE HealthCare Venue Go |
GE HealthCare |
Features AI-powered tools that support clinicians by streamlining workflows and improving diagnostic accuracy, particularly in point-of-care environments. |
Drivers
Growing Adoption of AI in Ultrasound Imaging Driven by Enhanced Diagnostic Efficiency and Healthcare Demands
Increased interest from healthcare professionals towards the adoption of AI technology, has played a huge role in the acceptance of AI in ultrasound imaging. This is because of its benefits in diagnostic activities, especially as it is making all the difference in transforming the current practice of medical imaging. AI has been integrated into diagnosis to enable healthcare professionals to diagnose at higher accuracy at faster speeds and lower costs. This is because it not only improves the effectiveness of the diagnostic processes but also ensures that more timely findings are brought closer to the patients with increased accuracy.
In addition, this increased pressure on healthcare providers to render fast and efficient patient care while being profitable also further powers the growth of AI in ultrasound imaging. As a result of this enormous demand on hospitals and clinics to make their operations smoother and improve patient outcomes, it has become integral to the diagnosis work of a clinic to be powered with AI diagnostic tools. By optimizing the imaging processes, AI enables health units to respond quickly to the needs of patients and minimizes opportunities for human error.
With healthcare systems being under constant pressure to increase both volumes of patients as well as financial pressure, interest in AI-based ultrasound image-acquiring systems is likely to rise over time. As healthcare providers look to improve diagnoses and operational efficiency, this trend is likely to fuel significant growth in the AI-in ultrasound imaging market over the next few years.
Restraints
High Costs and Limited Technical Expertise Hindering AI Adoption in Ultrasound Imaging
By Technology
The AI in the ultrasound imaging market has been divided into technology-based segments, which include machine learning, computer vision, natural language processing, and other categories. Among the mentioned technologies, machine learning is primarily driving the market with a 36.2% share in 2023 because it can analyze large amounts of image data and boost diagnostic accuracy with time. It is highly crucial in predictive analytics, pattern recognition, and improvement of the precision of image interpretation. The segment has earned appreciation from radiologists and other health personnel as providing data-driven insights that stretch well beyond improving a medical decision.
The fastest-growing segment is computer vision, which enables machines to interpret and process visual information originating from ultrasound images. It hence automates the image analysis in real time. This technology provides great worth in terms of taking care of anomalies with minimal human intervention. Its application reduces diagnostic errors and hastens the workflow. Going forward, it is anticipated that computer vision will register tremendous adoption due to enhanced demands for imaging solutions.
By Application
In terms of application, AI in ultrasound imaging applies to radiology, obstetrics, gynecology, cardiovascular diagnostics, and other areas. Radiology has the top market share 27.6% in 2023 because it deals with massive diagnostic procedures at the center, including cancer detection, musculoskeletal imaging, organ analysis, and many others. AI-ultrasound imaging, backed by deep learning algorithms in radiology, ensures greater accuracy coupled with reduced time taken for interpretation, thus enhancing its utility for radiologists.
However, cardiovascular diagnostics is the application segment that is growing the fastest. The increased prevalence of cardiovascular diseases across geographies worldwide fueled the demand for early and accurate diagnosis, thus fueling the adoption of cardiovascular imaging. AI-driven ultrasound systems provide vivid images of the heart and blood vessels thus enhancing capabilities and improving care for the cardiovascular patient.
By End User
The market has the following ultrasound imaging market end-user segmentation: hospitals, patients, healthcare payers, and others. Hospitals led the market in 2023 with a 35.0% share because they are the major providers of state-of-the-art diagnostic imaging services. The addition of AI in hospital imaging departments improves diagnostic intensity, streamlines the workflow, and reduces the costs of operations, making it a sought-after option for healthcare providers. Larger hospitals are embracing AI-based ultrasound devices to manage the expanding patient load and enhance the delivery of service.
Meanwhile, patients will be the most rapidly growing end-users. Growing home-based healthcare and telemedicine have increased the patient-centric AI-driven ultrasound devices. It enables patients to monitor health conditions from anywhere. This could improve access to diagnostic services in rural and underserved areas, paving an inroads for growth in the future.
North America region accounted for the largest share of 45.3% of the global AI in ultrasound imaging market in the year 2023. This was because of the presence of leading pharmaceutical and biotechnology companies along with immense investment in advanced medical technology. The prevalence of chronic diseases is significantly higher in the region, coupled with a substantially high expenditure in the healthcare sector. Both these factors result in increased demands for ultrasound imaging among patients. The region has also gained strength from high technology infrastructure for healthcare and an enhanced opportunity to access healthcare. Thus, North America, therefore, has emerged as a leader within the global market because it has experienced expanding investment in research and development as well as increased adoption of advanced medical equipment and software, thereby further fast-tracking the growth rate of the market.
On the other hand, Asia Pacific is expected to emerge as the fastest-growing region in the AI ultrasound imaging market during the forecast period. It is a significant producer of cost-effective ultrasound imaging devices in the region because of the factors for low-cost production. The prevalence of various diseases and the rising demand for accurate diagnostics are driving the adoption of AI in ultrasound imaging systems. The lifestyle upgrades, along with complications arising in pregnancy mainly due to delayed marriages, have increased the consumption of ultrasound imaging in obstetrics and gynecology. Government investments in developing smart hospitals in the region would further fuel the growth of AI in the ultrasound imaging market in the Asia Pacific region.
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IBM (Watson Health Imaging)
Nvidia Corporation (NVIDIA Clara)
Intel Corporation (Intel OpenVINO Toolkit)
Microsoft (Azure Health AI)
Samsung (Samsung Medison)
Butterfly Network (Butterfly iQ+)
GE Company (Vivid E95 and Voluson E10)
Siemens Healthcare (ACUSON Sequoia and ACUSON Juniper)
General Vision (NeuroMem AI Solutions)
EchoNous, Inc. (EchoNous AI Ultrasound)
CloudMedx Inc. (AI Imaging Analytics)
Agfa-Gevaert Group (Agfa HealthCare Enterprise Imaging)
Imagia Cybernetics Inc. (Evidens AI)
Enlitic, Inc. (AI Medical Imaging Software)
Micron Technology, Inc. (Memory and Storage for AI Imaging) and others.
In April 2024, GE HealthCare introduced its latest AI-powered ultrasound system, the Vscan Air series. This portable, wireless device utilizes AI technology for enhanced diagnostic accuracy and speed, designed to provide improved imaging solutions for point-of-care settings. This launch is aimed at expanding the company’s reach into emerging markets and meeting the growing demand for efficient and portable ultrasound systems.
In May 2024, Siemens Healthineers announced the integration of advanced AI capabilities into its ACUSON Sequoia ultrasound system. The AI-enhanced platform focuses on improving cardiovascular and liver imaging, offering real-time insights and reducing variability in diagnostics. The launch aligns with the company’s broader goal to provide personalized diagnostic solutions across diverse medical fields.
| Report Attributes | Details |
| Market Size in 2023 | US$ 889.1 Mn |
| Market Size by 2032 | US$ 2047.7 Mn |
| CAGR | CAGR of 8.7% From 2024 to 2032 |
| Base Year | 2023 |
| Forecast Period | 2024-2032 |
| Historical Data | 2020-2022 |
| Report Scope & Coverage | Market Size, Segments Analysis, Competitive Landscape, Regional Analysis, DROC & SWOT Analysis, Forecast Outlook |
| Key Segments | • By Technology (Machine Learning, Computer vision, Natural Language Processing, Others) • By Application (Radiology, Obstetrics, Gynecology, Cardiovascular, Others) • By End User (Hospitals, Patients, Healthcare Payers, Others) |
| Regional Analysis/Coverage | North America (US, Canada, Mexico), Europe (Eastern Europe [Poland, Romania, Hungary, Turkey, Rest of Eastern Europe] Western Europe] Germany, France, UK, Italy, Spain, Netherlands, Switzerland, Austria, Rest of Western Europe]). Asia Pacific (China, India, Japan, South Korea, Vietnam, Singapore, Australia, Rest of Asia Pacific), Middle East & Africa (Middle East [UAE, Egypt, Saudi Arabia, Qatar, Rest of Middle East], Africa [Nigeria, South Africa, Rest of Africa], Latin America (Brazil, Argentina, Colombia Rest of Latin America) |
| Company Profiles | IBM, Nvidia Corporation, Intel Corporation, Microsoft, Medtronic, Samsung, Butterfly network, GE Company, Siemens Healthcare, Johnson & Johnson, General Vision and other players |
| Key Drivers | • Growing Adoption of AI in Ultrasound Imaging Driven by Enhanced Diagnostic Efficiency and Healthcare Demands |
| Market Restraints | • High Costs and Limited Technical Expertise Hindering AI Adoption in Ultrasound Imaging |
Ans: AI in Ultrasound Imaging Market is expected to grow at a CAGR of 8.7%.
Ans: Artificial Intelligence in Ultrasound Imaging Market size was valued at $889.1 Mn in 2023 and is expected to reach $2047.7 Mn by 2032 and grow at a CAGR of 8.7% over the global forecast period of 2024-2032.
Ans: The implementation of the AI in the Healthcare industry.
Ans: high cost associated with the implementation of the AI.
Ans: North America overtook other regional markets as the largest market for AI in Ultrasound Imaging, with the highest revenue share.
Table of Contents
1. Introduction
1.1 Market Definition
1.2 Scope (Inclusion and Exclusions)
1.3 Research Assumptions
2. Executive Summary
2.1 Market Overview
2.2 Regional Synopsis
2.3 Competitive Summary
3. Research Methodology
3.1 Top-Down Approach
3.2 Bottom-up Approach
3.3. Data Validation
3.4 Primary Interviews
4. Market Dynamics Impact Analysis
4.1 Market Driving Factors Analysis
4.1.1 Drivers
4.1.2 Restraints
4.1.3 Opportunities
4.1.4 Challenges
4.2 PESTLE Analysis
4.3 Porter’s Five Forces Model
5. Statistical Insights and Trends Reporting
5.1 Incidence and Prevalence (2023)
5.2 Prescription Trends, (2023), by Region
5.3 Device Volume, by Region (2020-2032)
5.4 Healthcare Spending, by Region, (Government, Commercial, Private, Out-of-Pocket), 2023
6. Competitive Landscape
6.1 List of Major Companies, By Region
6.2 Market Share Analysis, By Region
6.3 Product Benchmarking
6.3.1 Product specifications and features
6.3.2 Pricing
6.4 Strategic Initiatives
6.4.1 Marketing and promotional activities
6.4.2 Distribution and Supply Chain Strategies
6.4.3 Expansion plans and new Product launches
6.4.4 Strategic partnerships and collaborations
6.5 Technological Advancements
6.6 Market Positioning and Branding
7. Artificial Intelligence in Ultrasound Imaging Market Segmentation, by Technology
7.1 Chapter Overview
7.2 Obstetrics
7.2.1 Obstetrics Market Trends Analysis (2020-2032)
7.2.2 Obstetrics Market Size Estimates and Forecasts to 2032 (USD Billion)
7.3 Computer vision
7.3.1 Computer Vision Market Trends Analysis (2020-2032)
7.3.2 Computer Vision Market Size Estimates and Forecasts to 2032 (USD Billion)
7.4 Natural Language Processing
7.4.1 Natural Language Processing Market Trends Analysis (2020-2032)
7.4.2 Natural Language Processing Market Size Estimates and Forecasts to 2032 (USD Billion)
7.5 Others
7.5.1 Others Market Trends Analysis (2020-2032)
7.5.2 Others Market Size Estimates and Forecasts to 2032 (USD Billion)
8. Artificial Intelligence in Ultrasound Imaging Market Segmentation, by Application
8.1 Chapter Overview
8.2 Radiology
8.2.1 Radiology Market Trends Analysis (2020-2032)
8.2.2 Radiology Market Size Estimates and Forecasts to 2032 (USD Million)
8.3 Obstetrics
8.3.1 Obstetrics Market Trends Analysis (2020-2032)
8.3.2 Obstetrics Market Size Estimates and Forecasts to 2032 (USD Million)
8.4 Gynecology
8.4.1 Gynecology Market Trends Analysis (2020-2032)
8.4.2 Gynecology Market Size Estimates and Forecasts to 2032 (USD Million)
8.5 Cardiovascular
8.5.1 Cardiovascular Market Trends Analysis (2020-2032)
8.5.2 Cardiovascular Market Size Estimates and Forecasts to 2032 (USD Million)
8.6 Others
8.6.1 Others Market Trends Analysis (2020-2032)
8.6.2 Others Market Size Estimates and Forecasts to 2032 (USD Million)
9. Artificial Intelligence in Ultrasound Imaging Market Segmentation, by End Use
9.1 Chapter Overview
9.2 Hospitals
9.2.1 Hospitals Market Trends Analysis (2020-2032)
9.2.2 Hospitals Market Size Estimates and Forecasts to 2032 (USD Million)
9.3 Patients
9.3.1 Patients Market Trends Analysis (2020-2032)
9.3.2 Patients Market Size Estimates and Forecasts to 2032 (USD Million)
9.4 Healthcare Payers
9.4.1 Healthcare Payers Market Trends Analysis (2020-2032)
9.4.2 Healthcare Payers Market Size Estimates and Forecasts to 2032 (USD Million)
9.5 Others
9.5.1 Others Market Trends Analysis (2020-2032)
9.5.2 Others Market Size Estimates and Forecasts to 2032 (USD Million)
10. Regional Analysis
10.1 Chapter Overview
10.2 North America
10.2.1 Trends Analysis
10.2.2 North America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.2.3 North America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.2.4 North America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.5 North America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.2.6 USA
10.2.6.1 USA Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.2.6.2 USA Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.6.3 USA Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.2.7 Canada
10.2.7.1 Canada Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.2.7.2 Canada Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.7.3 Canada Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.2.8 Mexico
10.2.8.1 Mexico Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.2.8.2 Mexico Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.2.8.3 Mexico Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3 Europe
10.3.1 Eastern Europe
10.3.1.1 Trends Analysis
10.3.1.2 Eastern Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.3.1.3 Eastern Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.1.4 Eastern Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.5 Eastern Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.1.6 Poland
10.3.1.6.1 Poland Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.1.6.2 Poland Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.6.3 Poland Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.1.7 Romania
10.3.1.7.1 Romania Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.1.7.2 Romania Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.7.3 Romania Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.1.8 Hungary
10.3.1.8.1 Hungary Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.1.8.2 Hungary Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.8.3 Hungary Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.1.9 turkey
10.3.1.9.1 Turkey Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.1.9.2 Turkey Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.9.3 Turkey Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.1.10 Rest of Eastern Europe
10.3.1.10.1 Rest of Eastern Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.1.10.2 Rest of Eastern Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.1.10.3 Rest of Eastern Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2 Western Europe
10.3.2.1 Trends Analysis
10.3.2.2 Western Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.3.2.3 Western Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.4 Western Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.5 Western Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.6 Germany
10.3.2.6.1 Germany Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.6.2 Germany Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.6.3 Germany Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.7 France
10.3.2.7.1 France Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.7.2 France Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.7.3 France Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.8 UK
10.3.2.8.1 UK Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.8.2 UK Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.8.3 UK Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.9 Italy
10.3.2.9.1 Italy Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.9.2 Italy Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.9.3 Italy Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.10 Spain
10.3.2.10.1 Spain Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.10.2 Spain Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.10.3 Spain Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.11 Netherlands
10.3.2.11.1 Netherlands Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.11.2 Netherlands Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.11.3 Netherlands Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.12 Switzerland
10.3.2.12.1 Switzerland Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.12.2 Switzerland Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.12.3 Switzerland Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.13 Austria
10.3.2.13.1 Austria Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.13.2 Austria Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.13.3 Austria Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.3.2.14 Rest of Western Europe
10.3.2.14.1 Rest of Western Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.3.2.14.2 Rest of Western Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.3.2.14.3 Rest of Western Europe Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4 Asia Pacific
10.4.1 Trends Analysis
10.4.2 Asia Pacific Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.4.3 Asia Pacific Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.4 Asia Pacific Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.5 Asia Pacific Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4.6 China
10.4.6.1 China Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.6.2 China Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.6.3 China Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4.7 India
10.4.7.1 India Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.7.2 India Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.7.3 India Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4.8 Japan
10.4.8.1 Japan Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.8.2 Japan Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.8.3 Japan Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4.9 South Korea
10.4.9.1 South Korea Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.9.2 South Korea Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.9.3 South Korea Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4.10 Vietnam
10.4.10.1 Vietnam Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.10.2 Vietnam Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.10.3 Vietnam Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4.11 Singapore
10.4.11.1 Singapore Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.11.2 Singapore Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.11.3 Singapore Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4.12 Australia
10.4.12.1 Australia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.12.2 Australia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.12.3 Australia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.4.13 Rest of Asia Pacific
10.4.13.1 Rest of Asia Pacific Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.4.13.2 Rest of Asia Pacific Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.4.13.3 Rest of Asia Pacific Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5 Middle East and Africa
10.5.1 Middle East
10.5.1.1 Trends Analysis
10.5.1.2 Middle East Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.5.1.3 Middle East Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.1.4 Middle East Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.5 Middle East Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.1.6 UAE
10.5.1.6.1 UAE Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.1.6.2 UAE Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.6.3 UAE Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.1.7 Egypt
10.5.1.7.1 Egypt Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.1.7.2 Egypt Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.7.3 Egypt Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.1.8 Saudi Arabia
10.5.1.8.1 Saudi Arabia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.1.8.2 Saudi Arabia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.8.3 Saudi Arabia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.1.9 Qatar
10.5.1.9.1 Qatar Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.1.9.2 Qatar Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.9.3 Qatar Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.1.10 Rest of Middle East
10.5.1.10.1 Rest of Middle East Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.1.10.2 Rest of Middle East Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.1.10.3 Rest of Middle East Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.2 Africa
10.5.2.1 Trends Analysis
10.5.2.2 Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.5.2.3 Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.2.4 Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.5 Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.2.6 South Africa
10.5.2.6.1 South Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.2.6.2 South Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.6.3 South Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.2.7 Nigeria
10.5.2.7.1 Nigeria Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.2.7.2 Nigeria Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.7.3 Nigeria Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.5.2.8 Rest of Africa
10.5.2.8.1 Rest of Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.5.2.8.2 Rest of Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.5.2.8.3 Rest of Africa Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.6 Latin America
10.6.1 Trends Analysis
10.6.2 Latin America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Country (2020-2032) (USD Million)
10.6.3 Latin America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.6.4 Latin America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.5 Latin America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.6.6 Brazil
10.6.6.1 Brazil Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.6.6.2 Brazil Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.6.3 Brazil Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.6.7 Argentina
10.6.7.1 Argentina Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.6.7.2 Argentina Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.7.3 Argentina Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.6.8 Colombia
10.6.8.1 Colombia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.6.8.2 Colombia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.8.3 Colombia Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
10.6.9 Rest of Latin America
10.6.9.1 Rest of Latin America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Technology (2020-2032) (USD Million)
10.6.9.2 Rest of Latin America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by Application (2020-2032) (USD Million)
10.6.9.3 Rest of Latin America Artificial Intelligence in Ultrasound Imaging Market Estimates and Forecasts, by End Use (2020-2032) (USD Million)
11. Company Profiles
11.1 IBM
11.1.1 Company Overview
11.1.2 Financial
11.1.3 Products/ Services Offered
11.1.4 SWOT Analysis
11.2 Nvidia Corporation
11.2.1 Company Overview
11.2.2 Financial
11.2.3 Products/ Services Offered
11.2.4 SWOT Analysis
11.3 Intel Corporation
11.3.1 Company Overview
11.3.2 Financial
11.3.3 Products/ Services Offered
11.3.4 SWOT Analysis
11.4 Microsoft
11.4.1 Company Overview
11.4.2 Financial
11.4.3 Products/ Services Offered
11.4.4 SWOT Analysis
11.5 Samsung
11.5.1 Company Overview
11.5.2 Financial
11.5.3 Products/ Services Offered
11.5.4 SWOT Analysis
11.6 Butterfly Network
11.6.1 Company Overview
11.6.2 Financial
11.6.3 Products/ Services Offered
11.6.4 SWOT Analysis
11.7 GE Company
11.7.1 Company Overview
11.7.2 Financial
11.7.3 Products/ Services Offered
11.7.4 SWOT Analysis
11.8 Siemens Healthcare
11.8.1 Company Overview
11.8.2 Financial
11.8.3 Products/ Services Offered
11.8.4 SWOT Analysis
11.9 General Vision
11.9.1 Company Overview
11.9.2 Financial
11.9.3 Products/ Services Offered
11.9.4 SWOT Analysis
11.10 CloudMedx Inc.
11.10.1 Company Overview
11.10.2 Financial
11.10.3 Products/ Services Offered
11.10.4 SWOT Analysis
12. Use Cases and Best Practices
13. Conclusion
An accurate research report requires proper strategizing as well as implementation. There are multiple factors involved in the completion of good and accurate research report and selecting the best methodology to compete the research is the toughest part. Since the research reports we provide play a crucial role in any company’s decision-making process, therefore we at SNS Insider always believe that we should choose the best method which gives us results closer to reality. This allows us to reach at a stage wherein we can provide our clients best and accurate investment to output ratio.
Each report that we prepare takes a timeframe of 350-400 business hours for production. Starting from the selection of titles through a couple of in-depth brain storming session to the final QC process before uploading our titles on our website we dedicate around 350 working hours. The titles are selected based on their current market cap and the foreseen CAGR and growth.
The 5 steps process:
Step 1: Secondary Research:
Secondary Research or Desk Research is as the name suggests is a research process wherein, we collect data through the readily available information. In this process we use various paid and unpaid databases which our team has access to and gather data through the same. This includes examining of listed companies’ annual reports, Journals, SEC filling etc. Apart from this our team has access to various associations across the globe across different industries. Lastly, we have exchange relationships with various university as well as individual libraries.
Step 2: Primary Research
When we talk about primary research, it is a type of study in which the researchers collect relevant data samples directly, rather than relying on previously collected data. This type of research is focused on gaining content specific facts that can be sued to solve specific problems. Since the collected data is fresh and first hand therefore it makes the study more accurate and genuine.
We at SNS Insider have divided Primary Research into 2 parts.
Part 1 wherein we interview the KOLs of major players as well as the upcoming ones across various geographic regions. This allows us to have their view over the market scenario and acts as an important tool to come closer to the accurate market numbers. As many as 45 paid and unpaid primary interviews are taken from both the demand and supply side of the industry to make sure we land at an accurate judgement and analysis of the market.
This step involves the triangulation of data wherein our team analyses the interview transcripts, online survey responses and observation of on filed participants. The below mentioned chart should give a better understanding of the part 1 of the primary interview.
Part 2: In this part of primary research the data collected via secondary research and the part 1 of the primary research is validated with the interviews from individual consultants and subject matter experts.
Consultants are those set of people who have at least 12 years of experience and expertise within the industry whereas Subject Matter Experts are those with at least 15 years of experience behind their back within the same space. The data with the help of two main processes i.e., FGDs (Focused Group Discussions) and IDs (Individual Discussions). This gives us a 3rd party nonbiased primary view of the market scenario making it a more dependable one while collation of the data pointers.
Step 3: Data Bank Validation
Once all the information is collected via primary and secondary sources, we run that information for data validation. At our intelligence centre our research heads track a lot of information related to the market which includes the quarterly reports, the daily stock prices, and other relevant information. Our data bank server gets updated every fortnight and that is how the information which we collected using our primary and secondary information is revalidated in real time.
Step 4: QA/QC Process
After all the data collection and validation our team does a final level of quality check and quality assurance to get rid of any unwanted or undesired mistakes. This might include but not limited to getting rid of the any typos, duplication of numbers or missing of any important information. The people involved in this process include technical content writers, research heads and graphics people. Once this process is completed the title gets uploader on our platform for our clients to read it.
Step 5: Final QC/QA Process:
This is the last process and comes when the client has ordered the study. In this process a final QA/QC is done before the study is emailed to the client. Since we believe in giving our clients a good experience of our research studies, therefore, to make sure that we do not lack at our end in any way humanly possible we do a final round of quality check and then dispatch the study to the client.
By Technology
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Radiology
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Gynecology
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Patients
Healthcare Payers
Others
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Rest of Western Europe
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Vietnam
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Rest of Asia Pacific
Middle East & Africa
Middle East
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Rest of the Middle East
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Rest of Africa
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With the given market data, SNS Insider offers customization as per the company’s specific needs. The following customization options are available for the report:
Product Analysis
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Additional countries in any of the regions
Company Information
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