Global Artificial Intelligence In Ultrasound Imaging Market Size By Technology (Machine Learning, Computer Vision), By Application (Radiology, Obstetrics), By End Users (Hospitals and Providers, Patients), By Geographic Scope And Forecast
Report ID: 289570|No. of Pages: 202
Global Artificial Intelligence In Ultrasound Imaging Market Size By Technology (Machine Learning, Computer Vision), By Application (Radiology, Obstetrics), By End Users (Hospitals and Providers, Patients), By Geographic Scope And Forecast
Artificial Intelligence In Ultrasound Imaging Market Size And Forecast
Artificial Intelligence In Ultrasound Imaging Market size was valued at USD 882.3 Billion in 2021 and is projected to reach USD 1,900.6 Billion by 2030, growing at a CAGR of 8.9% from 2022 to 2030.
Early diagnosis is increasingly in demand, and early diagnosis leads to better patient outcomes. AI algorithms can assist medical professionals in making more accurate diagnoses more quickly. An increase in the prevalence of chronic diseases has led to a higher demand for sophisticated medical imaging technologies that can aid in the early diagnosis of these conditions, including neurological disorders, cancer, and cardiovascular disease. Significant AI technology advancements have resulted in the creation of more complex tools and algorithms that can be incorporated into ultrasound imaging systems. As a result, ultrasound imaging is now more accurate and effective, making it a more useful tool for diagnosing a range of medical conditions.
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Global Artificial Intelligence In Ultrasound Imaging Market Definition
Artificial intelligence (AI) in ultrasound imaging is the process of incorporating AI tools, techniques, and algorithms into ultrasound imaging systems to improve their capabilities. To find patterns, make predictions, and support decision-making, AI algorithms are trained on vast amounts of data, including patient information and medical images. AI algorithms can be applied to a variety of ultrasound imaging tasks, such as image analysis, automated diagnosis, and lesion characterization.
More accurately and quickly than conventional techniques, AI algorithms can analyze a large number of ultrasound images and extract crucial data, including anatomical structures, tissue types, and pathologies. The use of this data can support diagnostic judgment and enhance patient outcomes. Additionally, the use of AI in ultrasound imaging can lessen the need for human image interpretation, enhancing the effectiveness and speed of diagnostic procedures.
This may lead to quicker and more accurate diagnoses, better patient outcomes, and lower medical expenses. Additionally, new and creative ultrasound imaging applications, like real-time image analysis and lesion tracking, can be created using AI algorithms to increase the clinical utility of ultrasound imaging. Overall, the incorporation of artificial intelligence (AI) technology into ultrasound imaging systems is a significant development in the field of medical imaging and has the potential to have a big impact on the diagnostic process and patient outcomes.
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Global Artificial Intelligence In Ultrasound Imaging Market Overview
The market for AI-based software and tools that are integrated into ultrasound imaging systems is referred to as Artificial Intelligence In Ultrasound Imaging Market. Due to rising demand for cutting-edge medical imaging technologies, developments in AI technology, and a growing understanding of the advantages of AI in ultrasound imaging, the market has seen rapid growth in recent years. The need for early diagnosis and the rising prevalence of chronic diseases has increased interest in advanced medical imaging technologies, such as AI-based ultrasound imaging.
The development of more complex algorithms and tools that can be integrated into ultrasound imaging systems is the result of significant advancements in AI technology. As a result, ultrasound imaging is now more accurate and effective, making it a more useful tool for diagnosing a range of medical conditions. Using AI algorithms can increase the precision and accuracy of minimally invasive procedures like ultrasound-guided biopsies, which can eliminate the need for more invasive diagnostic techniques.
Companies in the Artificial Intelligence In Ultrasound Imaging Market are collaborating and forming alliances in order to broaden their product lines and attract more clients. The development of cloud-based AI in ultrasound imaging solutions that can be accessed from any location and offer increased flexibility and scalability is due to the growth of cloud computing. Overall, the market for AI in ultrasound imaging is anticipated to expand over the next few years due to rising medical imaging technology demand, technological advancements in AI, and expanding adoption of AI in ultrasound imaging.
Market Attractiveness
The image of market attractiveness provided would further help to get information about the region that is majorly leading in the Global Artificial Intelligence In Ultrasound Imaging Market. We cover the major impacting factors that are responsible for driving the industry growth in the given region.
Porter’s Five Forces
The image provided would further help to get information about Porter’s five forces framework providing a blueprint for understanding the behavior of competitors and a player’s strategic positioning in the respective industry. The porter’s five forces model can be used to assess the competitive landscape in Global Artificial Intelligence In Ultrasound Imaging Market, gauge the attractiveness of a certain sector, and assess investment possibilities.
Global Artificial Intelligence In Ultrasound Imaging Market Segmentation Analysis
The Global Artificial Intelligence In Ultrasound Imaging Market is segmented on the basis of Technology, Application, End Users, and Geography.
Artificial Intelligence In Ultrasound Imaging Market, By Technology
- Machine Learning
- Computer Vision
- Natural Language Processing
- Context-Aware Computing
Based on Technology, the market is divided into Machine Learning, Computer Vision, Natural Language Processing, and Context-Aware Computing segments. The machine learning and computer vision market for ultrasound imaging is the area of Artificial Intelligence In Ultrasound Imaging Market that focuses on creating and disseminating tools and algorithms for machine learning and computer vision that are integrated into ultrasound imaging systems.
Artificial Intelligence In Ultrasound Imaging Market, By Application
- Radiology
- Obstetrics
- Gynecology
- Cardiovascular
- Gastroenterology
Based on Application, the market is divided into Radiology, Obstetrics, Gynecology, Cardiovascular, and Gastroenterology. A rapidly expanding industry, artificial intelligence (AI) in ultrasound imaging has applications in both the radiology and cardiovascular fields. AI can be applied to radiology to increase the speed and accuracy of image interpretation, enabling more accurate diagnoses. Artificial intelligence (AI) can be used to analyze ultrasound images to find cardiovascular diseases like heart disease and track their development. AI in ultrasound imaging has the potential to transform how medical imaging is carried out and will likely lead to better patient outcomes.
Artificial Intelligence In Ultrasound Imaging Market, By End Users
- Hospitals and Providers
- Patients
- Pharmaceutical
- Biotechnology Companies
- Healthcare Payers
Based on End Users, the market is divided into Hospitals and Providers, Patients, Pharmaceutical, Biotechnology Companies, and Healthcare Payers. As they are frequently at the forefront of utilizing advanced medical imaging technologies to improve patient outcomes, hospitals are a significant end-user of AI in ultrasound imaging technology. Hospitals may find it easier and more accurate to diagnose and treat patients when using AI-based ultrasound imaging solutions.
Another significant end-user of AI in ultrasound imaging technology is the pharmaceutical industry. Their clinical trial and drug development processes, which include evaluating the efficacy and safety of new medications, are supported by AI algorithms and tools. Additionally, end users of AI in ultrasound imaging technology include biotechnological firms. For the purpose of gaining knowledge about biological processes and assisting in the development of novel therapies and treatments, they use AI algorithms to analyze and interpret medical images, such as ultrasound images.
Artificial Intelligence In Ultrasound Imaging Market, By Geography
- North America
- Europe
- Asia Pacific
- Middle East and Africa
On the basis of Regional Analysis, The Global Artificial Intelligence In Ultrasound Imaging Market is divided into North America, Europe, Asia Pacific, and the Rest of the World. During the forecast period, the North American region is anticipated to grow at the highest CAGR. The market in North America is propelled by the existence of a sizable number of top healthcare technology firms, a highly advanced healthcare system, and a significant demand for cutting-edge medical imaging technologies. Additionally, the region is home to some of the biggest clinical trials and research facilities in the world, which has sparked the creation of ground-breaking AI-based ultrasound imaging solutions.
Key Players
The “Global Artificial Intelligence In Ultrasound Imaging Market” study report will provide valuable insight with an emphasis on the global market including some of the major players such as GE Healthcare, Philips Healthcare, Siemens Healthineers, Canon Medical Systems, Hitachi Medical Systems, Toshiba Medical Systems, FUJIFILM SonoSite, Samsung Medison, Mindray Medical International, Esaote S.p.A. These are some of the key market participants.
Our market analysis also entails a section solely dedicated to such major players wherein our analysts provide an insight into the financial statements of all the major players, along with product benchmarking and SWOT analysis. The competitive landscape section also includes key development strategies, market share, and market ranking analysis of the above-mentioned players globally.
Key Developments
- In January 2023, A deal to buy IMACTIS, a French company that develops computed tomography (CT) interventional guidance technology, was announced by GE HealthCare.
- In April 2021, The completion of the Varian acquisition by Siemens Healthineers strengthens the company’s position as a comprehensive healthcare partner.
Ace Matrix Analysis
The Ace Matrix provided in the report would help to understand how the major key players involved in this industry are performing as we provide a ranking for these companies based on various factors such as service features & innovations, scalability, innovation of services, industry coverage, industry reach, and growth roadmap. Based on these factors, we rank the companies into four categories as Active, Cutting Edge, Emerging, and Innovators.
Report Scope
| Report Attributes | Details |
|---|---|
| Study Period | 2018-2030 |
| Base Year | 2021 |
| Forecast Period | 2022-2030 |
| Historical Period | 2018-2020 |
| Unit | Value (USD Billion) |
| Key Companies Profiled | GE Healthcare, Philips Healthcare, Siemens Healthineers, Canon Medical Systems, Hitachi Medical Systems, Toshiba Medical Systems, FUJIFILM SonoSite. |
| Segments Covered | By Technology, By Application, By End Users, and By Geography. |
| Customization scope | Free report customization (equivalent to up to 4 analyst working days) with purchase. Addition or alteration to country, regional & segment scope |
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• Qualitative and quantitative analysis of the market based on segmentation involving both economic as well as non-economic factors
• Provision of market value (USD Billion) data for each segment and sub-segment
• Indicates the region and segment that is expected to witness the fastest growth as well as to dominate the market
• Analysis by geography highlighting the consumption of the product/service in the region as well as indicating the factors that are affecting the market within each region
• Competitive landscape which incorporates the market ranking of the major players, along with new service/product launches, partnerships, business expansions, and acquisitions in the past five years of companies profiled
• Extensive company profiles comprising of company overview, company insights, product benchmarking, and SWOT analysis for the major market players
• The current as well as the future market outlook of the industry with respect to recent developments which involve growth opportunities and drivers as well as challenges and restraints of both emerging as well as developed regions
• Includes in-depth analysis of the market from various perspectives through Porter’s five forces analysis
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Data Collection Matrix
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Econometrics and data visualization model
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Analysts use correlation, regression and time series analysis to deliver reliable business insights. Our experienced team of professionals diffuse the technology landscape, regulatory frameworks, economic outlook and business principles to share the details of external factors on the market under investigation.
Different demographics are analyzed individually to give appropriate details about the market. After this, all the region-wise data is joined together to serve the clients with glo-cal perspective. We ensure that all the data is accurate and all the actionable recommendations can be achieved in record time. We work with our clients in every step of the work, from exploring the market to implementing business plans. We largely focus on the following parameters for forecasting about the market under lens:
- Market drivers and restraints, along with their current and expected impact
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We assign different weights to the above parameters. This way, we are empowered to quantify their impact on the market’s momentum. Further, it helps us in delivering the evidence related to market growth rates.
Primary validation
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- Established market players
- Raw data suppliers
- Network participants such as distributors
- End consumers
The aims of doing primary research are:
- Verifying the collected data in terms of accuracy and reliability.
- To understand the ongoing market trends and to foresee the future market growth patterns.
Industry Analysis Matrix
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