The Artificial Intelligence in Ultrasound Imaging Market size was valued at $934.99 Mn in 2023 and is expected to reach $1825 Mn by 2031 and grow at a CAGR of 8.65% over the global forecast period of 2024-2031.
The science of ultrasound imaging has seen major breakthroughs thanks to AI. It could improve the precision, effectiveness, and clinical value of ultrasound exams. Here are some applications of AI in ultrasonic imaging. By lowering noise, boosting contrast, and boosting resolution, AI systems can enhance the quality of ultrasound images. Better visualisation of anatomical structures and the identification of anomalies are both made possible by this. Within ultrasound images, AI systems may automatically recognise and divide various anatomical components or regions of interest. This makes it possible to take accurate measurements, trace the evolution of structures, and analyse ultrasound data automatically.
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Driver
The implementation of the AI in the Healthcare industry.
The implementation of the AI in healthcare is been done widely which is helping the healthcare industry to grow on a different scale. The use of the ultrasound imaging is been done for the diagnosis of the various disease. The major role of the ultrasound imaging is to help the healthcare professionals to gain better insights about the patient’s body organs. AI has different aspects associated with it i.e., ML, Data learning. This system is been generated through the algorithm which further helps the radiologist to scan the body organs in a proper and advance way. The major difference between the AI and CAD is the accuracy and the dependency factor.
In the past years the major issues the radiologist is facing is related to the detection of the tumours. According to the health experts if the tumours are detected during the early stages, it can be prevented. This is where the opportunity for the AI in ultrasound imaging gets invited. The AI in ultrasound imaging can improve the data accuracy, image quality and also the thickening of the certain muscle structure. AI is improving the functionality of the ultrasound imaging and at the same time bringing effective results which is driving the market.
Restrain
The high cost associated with the implementation of the AI.
The extra cost associated with the implementation of the AI in the healthcare industry is a big challenge for the struggling economies and organizations. The AI technology is a combination of the latest hardware and the software technologies. These systems require a lot of investment which creates barriers for the market to grow. The rising cost of the raw material because of fluctuations in the inflation rates can make the situation worse.
The government organizations are very particular about the laws and regulations related to the data protection. There has been several Acts assigned by the government to prevent the privacy and enhance the cybersecurity. For instance, the reformation of General Data Protection Regulation (GDPR) by the European Union (EU). If we focus on U.S. FDA is the major organization which gives the approval for the use of the machines, software during the diagnosis or any other drug development. FDA has implemented several acts related to the same, for instance 21st Century Cures Acts and Federal Food, Drug and Cosmetic Act. The major objective of the imposed acts to prevent the misuse of the personal information which is related to the patient’s health. Also, the rising cybercrimes is contributing to these acts.
Hence the regulations and the acts created barriers for the market to grow.
Opportunity
The benefits associated with the AI in imaging.
The rising approvals from the government organizations for the use of the AI in ultrasound imaging. FDA
In the regulation and approval process for AI applications in medical imaging, particularly ultrasound, FDA has been heavily involved. The FDA is striving to build a regulatory framework to guarantee the security and efficacy of AI algorithms in medical devices because it recognises the promise of AI to enhance healthcare outcomes.
Challenge
The inadequate infrastructure and the requirement of trained healthcare professionals. Lack of access.
Research and collaboration initiatives between institutions and scholars in Russia and Ukraine may be hampered by the conflict. To advance AI technologies, especially those in medical imaging, international cooperation is essential. Research partnerships may suffer, which could impede the advancement of AI algorithms for ultrasound imaging.
The increasing demand for medical services in conflict-affected areas can cause severe harm to or pressure on the healthcare infrastructure. Under these conditions, allocating resources for AI research in ultrasound imaging may lose priority in favour of more urgent healthcare need.
Impact of Recession
Financial support for programmes in research and development, such as AI in healthcare, may be diminished during economic downturns. Companies and organisations might set aside fewer funds for long-term initiatives like creating AI algorithms for ultrasound imaging. This could impede the development of AI technologies. During a recession, investors can be less willing to invest in cutting-edge technology like AI. Financing may be a challenge for startups and smaller businesses creating AI solutions for ultrasound imaging. This can cause innovation to stall and new AI apps to be released.
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
North America is the region with the highest share because the United States has led the way in AI research and development for healthcare, especially ultrasound imaging, in North America. The ecosystem of academic institutions, research organisations, and technology firms working on AI applications is well-established in the area. In order to provide a framework for approval and commercialization, the FDA has been actively involved in regulating AI in medical imaging.
APAC is the region with the highest CAGR growth rate several nations, including China, Japan, and South Korea, have made large expenditures in AI research and development. Applications of artificial intelligence (AI) in ultrasonic imaging are developing, with businesses and academic institutions developing algorithms for picture analysis, lesion diagnosis, and clinical decision assistance.
The major key players are IBM, Nvidia Corporation, Intel Corporation, Microsoft, Medtronic, Samsung, Butterfly network, GE Company, Siemens Healthcare, Johnson & Johnson, General Vision, and others.
Nvidia : For AI in healthcare, Nvidia has also created specialised hardware and software solutions, such as the Nvidia Clara platform.
IBM : Clinical Decision Support: IBM has been developing AI technologies to aid healthcare practitioners in making clinical decisions. To help with treatment planning and decision-making, these technologies use AI algorithms to analyse patient data, medical literature, and guidelines.
| Report Attributes | Details |
| Market Size in 2023 | US$ 934.99 Mn |
| Market Size by 2031 | US$ 1825 Mn |
| CAGR | CAGR of 8.65% From 2024 to 2031 |
| Base Year | 2023 |
| Forecast Period | 2024-2031 |
| 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 |
| Key Drivers | • The implementation of the AI in the Healthcare industry. |
| Market Restraints | • The high cost associated with the implementation of the AI. |
Ans: AI in Ultrasound Imaging Market is expected to grow at a CAGR of 8.65 %.
Ans: Artificial Intelligence in Ultrasound Imaging Market size was valued at $860 Mn in 2022 and is expected to reach $1685 Mn by 2030 and grow at a CAGR of 8.65% over the global forecast period of 2023-2030.
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
1.3 Research Assumptions
2. Research Methodology
3. Market Dynamics
3.1 Drivers
3.2 Restraints
3.3 Opportunities
3.4 Challenges
4. Impact Analysis
4.1 Impact of Russia-Ukraine war
4.2 Impact of Ongoing Recession
4.2.1 Introduction
4.2.2 Impact on major economies
4.2.2.1 US
4.2.2.2 Canada
4.2.2.3 Germany
4.2.2.4 France
4.2.2.5 United Kingdom
4.2.2.6 China
4.2.2.7 Japan
4.2.2.8 South Korea
4.2.2.9 Rest of the World
5. Value Chain Analysis
6. Porter’s 5 forces model
7. PEST Analysis
8. AI in Ultrasound Imaging Market, By Technology
8.1Machine Learning
8.2Computer vision
8.3Natural Language Processing
8.4Others
9. AI in Ultrasound Imaging Market, By Application
9.1Radiology
9.2Obstetrics
9.3Gynecology
9.4Cardiovascular
9.5Others
10. AI in Ultrasound Imaging Market, By End User
10.1Hospitals
10.2Patients
10.3Healthcare Payers
10.4Others
11. Regional Analysis
11.1 Introduction
11.2 North America
11.2.1 North America AI in Ultrasound Imaging Market by Country
11.2.2North America AI in Ultrasound Imaging Market by Technology
11.2.3 North America AI in Ultrasound Imaging Market by Application
11.2.4 North America AI in Ultrasound Imaging Market by End User
11.2.5 USA
11.2.5.1 USA AI in Ultrasound Imaging Market by Technology
11.2.5.2 USA AI in Ultrasound Imaging Market by Application
11.2.5.3 USA AI in Ultrasound Imaging Market by End User
11.2.6 Canada
11.2.6.1 Canada AI in Ultrasound Imaging Market by Technology
11.2.6.2 Canada AI in Ultrasound Imaging Market by Application
11.2.6.3 Canada AI in Ultrasound Imaging Market by End User
11.2.7 Mexico
11.2.7.1 Mexico AI in Ultrasound Imaging Market by Technology
11.2.7.2 Mexico AI in Ultrasound Imaging Market by Application
11.2.7.3 Mexico AI in Ultrasound Imaging Market by End User
11.3 Europe
11.3.1 Eastern Europe
11.3.1.1 Eastern Europe AI in Ultrasound Imaging Market by country
11.3.1.2 Eastern Europe AI in Ultrasound Imaging Market by Technology
11.3.1.3 Eastern Europe AI in Ultrasound Imaging Market by Application
11.3.1.4 Eastern Europe AI in Ultrasound Imaging Market by End User
11.3.1.5 Poland
11.3.1.5.1 Poland AI in Ultrasound Imaging Market by Technology
11.3.1.5.2 Poland AI in Ultrasound Imaging Market by Application
11.3.1.5.3 Poland AI in Ultrasound Imaging Market by End User
11.3.1.6 Romania
11.3.1.6.1 Romania AI in Ultrasound Imaging Market by Technology
11.3.1.6.2 Romania AI in Ultrasound Imaging Market by Application
11.3.1.6.4 Romania AI in Ultrasound Imaging Market by End User
11.3.1.7 Turkey
11.3.1.7.1 Turkey AI in Ultrasound Imaging Market by Technology
11.3.1.7.2 Turkey AI in Ultrasound Imaging Market by Application
11.3.1.7.3 Turkey AI in Ultrasound Imaging Market by End User
11.3.1.8 Rest of Eastern Europe
11.3.1.8.1 Rest of Eastern Europe AI in Ultrasound Imaging Market by Technology
11.3.1.8.2 Rest of Eastern Europe AI in Ultrasound Imaging Market by Application
11.3.1.8.3 Rest of Eastern Europe AI in Ultrasound Imaging Market by End User
11.3.2 Western Europe
11.3.2.1 Western Europe AI in Ultrasound Imaging Market by Country
11.3.2.2 Western Europe AI in Ultrasound Imaging Market by Technology
11.3.2.3 Western Europe AI in Ultrasound Imaging Market by Application
11.3.2.4 Western Europe AI in Ultrasound Imaging Market by End User
11.3.2.5 Germany
11.3.2.5.1 Germany AI in Ultrasound Imaging Market by Technology
11.3.2.5.2 Germany AI in Ultrasound Imaging Market by Application
11.3.2.5.3 Germany AI in Ultrasound Imaging Market by End User
11.3.2.6 France
11.3.2.6.1 France AI in Ultrasound Imaging Market by Technology
11.3.2.6.2 France AI in Ultrasound Imaging Market by Application
11.3.2.6.3 France AI in Ultrasound Imaging Market by End User
11.3.2.7 UK
11.3.2.7.1 UK AI in Ultrasound Imaging Market by Technology
11.3.2.7.2 UK AI in Ultrasound Imaging Market by Application
11.3.2.7.3 UK AI in Ultrasound Imaging Market by End User
11.3.2.8 Italy
11.3.2.8.1 Italy AI in Ultrasound Imaging Market by Technology
11.3.2.8.2 Italy AI in Ultrasound Imaging Market by Application
11.3.2.8.3 Italy AI in Ultrasound Imaging Market by End User
11.3.2.9 Spain
11.3.2.9.1 Spain AI in Ultrasound Imaging Market by Technology
11.3.2.9.2 Spain AI in Ultrasound Imaging Market by Application
11.3.2.9.3 Spain AI in Ultrasound Imaging Market by End User
11.3.2.10 Netherlands
11.3.2.10.1 Netherlands AI in Ultrasound Imaging Market by Technology
11.3.2.10.2 Netherlands AI in Ultrasound Imaging Market by Application
11.3.2.10.3 Netherlands AI in Ultrasound Imaging Market by Test Type
11.3.2.11 Switzerland
11.3.2.11.1 Switzerland AI in Ultrasound Imaging Market by Technology
11.3.2.11.2 Switzerland AI in Ultrasound Imaging Market by Application
11.3.2.11.3 Switzerland AI in Ultrasound Imaging Market by End User
11.3.2.1.12 Austria
11.3.2.12.1 Austria AI in Ultrasound Imaging Market by Technology
11.3.2.12.2 Austria AI in Ultrasound Imaging Market by Application
11.3.2.12.3 Austria AI in Ultrasound Imaging Market by End User
11.3.2.13 Rest of Western Europe
11.3.2.13.1 Rest of Western Europe AI in Ultrasound Imaging Market by Technology
11.3.2.13.2 Rest of Western Europe AI in Ultrasound Imaging Market by Application
11.3.2.13.3 Rest of Western Europe AI in Ultrasound Imaging Market by End User
11.4 Asia-Pacific
11.4.1 Asia-Pacific AI in Ultrasound Imaging Market by country
11.4.2 Asia-Pacific AI in Ultrasound Imaging Market by Technology
11.4.3 Asia-Pacific AI in Ultrasound Imaging Market by Application
11.4.4 Asia-Pacific AI in Ultrasound Imaging Market by End User
11.4.5 China
11.4.5.1 China AI in Ultrasound Imaging Market by Technology
11.4.5.2 China AI in Ultrasound Imaging Market by End User
11.4.5.3 China AI in Ultrasound Imaging Market by Application
11.4.6 India
11.4.6.1 India AI in Ultrasound Imaging Market by Technology
11.4.6.2 India AI in Ultrasound Imaging Market by Application
11.4.6.3 India AI in Ultrasound Imaging Market by End User
11.4.7 Japan
11.4.7.1 Japan AI in Ultrasound Imaging Market by Technology
11.4.7.2 Japan AI in Ultrasound Imaging Market by Application
11.4.7.3 Japan AI in Ultrasound Imaging Market by End User
11.4.8 South Korea
11.4.8.1 South Korea AI in Ultrasound Imaging Market by Technology
11.4.8.2 South Korea AI in Ultrasound Imaging Market by Application
11.4.8.3 South Korea AI in Ultrasound Imaging Market by End User
11.4.9 Vietnam
11.4.9.1 Vietnam AI in Ultrasound Imaging Market by Technology
11.4.9.2 Vietnam AI in Ultrasound Imaging Market by Application
11.4.9.3 Vietnam AI in Ultrasound Imaging Market by End User
11.4.10 Singapore
11.4.10.1 Singapore AI in Ultrasound Imaging Market by Technology
11.4.10.2 Singapore AI in Ultrasound Imaging Market by Application
11.4.10.3 Singapore AI in Ultrasound Imaging Market by End User
11.4.11 Australia
11.4.11.1 Australia AI in Ultrasound Imaging Market by Technology
11.4.11.2 Australia AI in Ultrasound Imaging Market by Application
11.4.11.3 Australia AI in Ultrasound Imaging Market by End User
11.4.12 Rest of Asia-Pacific
11.4.12.1 Rest of Asia-Pacific AI in Ultrasound Imaging Market by Technology
11.4.12.2 Rest of Asia-Pacific AI in Ultrasound Imaging Market by Application
11.4.12.3 Rest of Asia-Pacific AI in Ultrasound Imaging Market by Test Type
11.5 Middle East & Africa
11.5.1 Middle East
11.5.1.1 Middle East AI in Ultrasound Imaging Market by country
11.5.1.2 Middle East AI in Ultrasound Imaging Market by Technology
11.5.1.3 Middle East AI in Ultrasound Imaging Market by Application
11.5.1.4 Middle East AI in Ultrasound Imaging Market by End User
11.5.1.5 UAE
11.5.1.5.1 UAE AI in Ultrasound Imaging Market by Technology
11.5.1.5.2 UAE AI in Ultrasound Imaging Market by Application
11.5.1.5.3 UAE AI in Ultrasound Imaging Market by End User
11.5.1.6 Egypt
11.5.1.6.1 Egypt AI in Ultrasound Imaging Market by Technology
11.5.1.6.2 Egypt AI in Ultrasound Imaging Market by Application
11.5.1.6.3 Egypt AI in Ultrasound Imaging Market by End User
11.5.1.7 Saudi Arabia
11.5.1.7.1 Saudi Arabia AI in Ultrasound Imaging Market by Technology
11.5.1.7.2 Saudi Arabia AI in Ultrasound Imaging Market by Application
11.5.1.7.3 Saudi Arabia AI in Ultrasound Imaging Market by End User
11.5.1.8 Qatar
11.5.1.8.1 Qatar AI in Ultrasound Imaging Market by Technology
11.5.1.8.2 Qatar AI in Ultrasound Imaging Market by Application
11.5.1.8.3 Qatar AI in Ultrasound Imaging Market by End User
11.5.1.9 Rest of Middle East
11.5.1.9.1 Rest of Middle East AI in Ultrasound Imaging Market by Technology
11.5.1.9.2 Rest of Middle East AI in Ultrasound Imaging Market by Application
11.5.1.9.3 Rest of Middle East AI in Ultrasound Imaging Market by End User
11.5.2 Africa
11.5.2.1 Africa Transfusion Diagnostics Market by country
11.5.2.2 Africa AI in Ultrasound Imaging Market by Technology
11.5.2.3 Africa AI in Ultrasound Imaging Market by Application
11.5.2.4 Africa AI in Ultrasound Imaging Market by End User
11.5.2.5 Nigeria
11.5.2.5.1 Nigeria AI in Ultrasound Imaging Market by Technology
11.5.2.5.2 Nigeria AI in Ultrasound Imaging Market by Application
11.5.2.5.3 Nigeria AI in Ultrasound Imaging Market by End User
11.5.2.6 South Africa
11.5.2.6.1 South Africa AI in Ultrasound Imaging Market by Technology
11.5.2.6.2 South Africa AI in Ultrasound Imaging Market by Application
11.5.2.6.3 South Africa AI in Ultrasound Imaging Market by End User
11.5.2.7 Rest of Africa
11.5.2.7.1 Rest of Africa AI in Ultrasound Imaging Market by Technology
11.5.2.7.2 Rest of Africa AI in Ultrasound Imaging Market by Application
11.5.2.7.3 Rest of Africa AI in Ultrasound Imaging Market by Test type
11.6 Latin America
11.6.1 Latin America AI in Ultrasound Imaging Market by country
11.6.2 Latin America AI in Ultrasound Imaging Market by Technology Type
11.6.3 Latin America AI in Ultrasound Imaging Market by Technique
11.6.4 Latin America AI in Ultrasound Imaging Market by End User
11.6.5 Brazil
11.6.5.1 Brazil America AI in Ultrasound Imaging by Technology Type
11.6.5.2 Brazil America AI in Ultrasound Imaging by Technique
11.6.5.3 Brazil America AI in Ultrasound Imaging by End User
11.6.6 Argentina
11.6.6.1 Argentina America AI in Ultrasound Imaging by Technology Type
11.6.6.2 Argentina America AI in Ultrasound Imaging by Technique
11.6.6.3 Argentina America AI in Ultrasound Imaging by End User
11.6.7 Colombia
11.6.7.1 Colombia America AI in Ultrasound Imaging by Technology Type
11.6.7.2 Colombia America AI in Ultrasound Imaging by Technique
11.6.7.3 Colombia America AI in Ultrasound Imaging by End User
11.6.8 Rest of Latin America
11.6.8.1 Rest of Latin America AI in Ultrasound Imaging by Technology Type
11.6.8.2 Rest of Latin America AI in Ultrasound Imaging by Technique
11.6.8.3 Rest of Latin America AI in Ultrasound Imaging by End User
12 Company profile
12.1 IBM
12.1.1 Company Overview
12.1.2 Financial
12.1.3 Products/ Services Offered
12.1.4 SWOT Analysis
12.1.5 The SNS View
12.2 Nvidia Corporation
12.2.1 Company Overview
12.2.2 Financials
12.2.3 Product/Services Offered
12.2.4 SWOT Analysis
12.2.5 The SNS View
12.3 Intel Corporation
12.3.1 Company Overview
12.3.2 Financials
12.3.3 Product/Services Offered
12.3.4 SWOT Analysis
12.3.5 The SNS View
12.4 Microsoft
12.4.1 Company Overview
12.4.2 Financials
12.4.3 Product/Services Offered
12.4.4 SWOT Analysis
12.4.5 The SNS View
12.5 Medtronic
12.5.1 Company Overview
12.5.2 Financials
12.5.3 Product/Services Offered
12.5.4 SWOT Analysis
12.5.5 The SNS View
12.6 Samsung
12.6.1 Company Overview
12.6.2 Financials
12.6.3 Product/Services Offered
12.6.4 SWOT Analysis
12.6.5 The SNS View
12.7 Butterfly Network
12.7.1 Company Overview
12.7.2 Financials
12.7.3 Product/Services Offered
12.7.4 SWOT Analysis
12.7.5 The SNS View
12.8 GE Company
12.8.1 Company Overview
12.8.2 Financials
12.8.3 Product/Services Offered
12.8.4 SWOT Analysis
12.8.5 The SNS View
12.9 Siemens Healthcare
12.9.1 Company Overview
12.9.2 Financials
12.9.3 Product/Services Offered
12.9.4 SWOT Analysis
12.9.5 The SNS View
12.10 Johnson & Johnson
12.10.1 Company Overview
12.10.2 Financials
12.10.3 Product/Services Offered
12.10.4 SWOT Analysis
12.10.5 The SNS View
13. Competitive Landscape
13.1 Competitive Bench marking
13.2 Market Share Analysis
13.3 Recent Developments
13.3.1 Industry News
13.3.2 Company News
13.3.3 Mergers & Acquisitions
14. Use Case and Best Practices
15. Conclusion
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