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Global AI-Enabled Medical Imaging Solutions Market by Product (Software and Services), By Workflow (Image Analysis, Image Acquisition, Detection, Reporting and Communication, Diagnosis and Treatment Decision Support, Predictive Analysis and Risk Assessment, Triage, Equipment Maintenance),By Application(Cardiology, Oncology, Neurology, Respiratory, Orthopedics, and Others), By Technology(Deep Learning, Computer Vision and Others),By Modality(Computed Tomography (CT), Magnetic Resonance (MR), Ultrasound, X-Ray, Mammography, Multimodality Imaging Systems, and Others), By End-User(Hospitals, R&D Centers and Laboratories and Diagnostic Centers), and By Region (North America, Europe, Asia Pacific, South America, and Middle East & Africa)
Global AI-Enabled Medical Imaging Solutions Market Overview
Global AI-Enabled Medical Imaging Solutions Market is estimated to reach USD 27.2 billion by 2030, growing at a CAGR of 32.1% during the forecast period of 2022-2030. It was valued at USD 1.9 billion in 2022. Artificial intelligence can help imaging technicians do a lot of things. Through the internet and artificial intelligence technology to create a multi-dimensional system of medical images, to help doctors analyze and diagnose diseases in real time, accurately and efficiently, reduce the cost of medical treatment for patients. Medical image intelligent analysis refers to the use of artificial intelligence technology to identify and analyze medical images, help doctors locate illnesses and examine the condition, and assist in making the diagnosis. Medical imaging big data is a large-scale, high-growth, multi-structure, high-value, true, and accurate image generated by DR, CT, MR, and other medical imaging equipment and stored in the PACS Data collection.Global AI-Enabled Medical Imaging Solutions Market Insights
The growing adoption of AI-based medical imaging in cardiology, pathology, ophthalmology, etc. are expected to fuel the growth of AI-enabled medical imaging solutions market in the forthcoming years. Moreover, expanding the range of applications of AI in medical imaging, shortage of healthcare workforce, coupled with huge R&D investments will accelerate the robust growth of AI-enabled medical imaging solutions market size in the upcoming period. Additionally, improvement in computing power, learning algorithms, and availability of huge data sets for health monitors and medical devices are anticipated to boom the AI-enabled medical imaging solutions industry. There are main types of application of artificial intelligence in the field of medical imaging: disease screening, quantification of lesions, qualitative lesions, and have covered many diseases such as lung nodules, breast cancer, cardiovascular, skin cancer, etc. Furthermore, the surge in the adoption of artificial intelligence for finding minor abnormalities in patients and improvements in medical imaging diagnosis in the detection of life-threatening diseases will propel the growth of the AI-enabled medical imaging market.Growth Driver
Increasing demand for pattern recognition to optimize echocardiogram evaluation
AI-based pattern recognition and machine learning algorithms can be applied to identify borders and motion, which are ideal for evaluating the heart. For example, ultrasound imaging of the heart or echocardiography is the most widely used imaging technique for the evaluation of cardiac heart function.A surge in the application of AI in medical Imaging
AI tools can be used to automate other measurement tasks, such as aortic valve analysis, carina angle, and pulmonary artery diameter measurement. Applying AI to imaging data can also help identify thickening of certain muscle structures (such as the left ventricular wall), or monitor changes in blood flow through the heart and related arteries. In addition, the automatic pulmonary artery blood flow avoids the error of manual measurement and provides structured quantitative data to save time for doctors to interpret the results. These data can be used in later research or risk stratification schemes. The algorithm can also automatically fill in reports for human clinical. The doctor saves time and determines abnormal measurements.Product Segmental Analysis
Based on the product, the global AI-Enabled Medical Imaging Solutions market bifurcated into Software and Services. The Software segment predicted to gain a major share in the market by 2030, owing to the growing demand for the radiologists in the assessment and characterization of breast abnormalities using magnetic resonance imaging (MRI). Additionally, the aging population and increasing access to technological healthcare solutions in emerging markets will drive the AI-enabled imaging market. The Services segment will grow on account of the AI-based imaging solutions aid tasks associated with patient care imaging or business operations, and transform medical imaging, saving providers time and effort when diagnosing and treating patients.Workflow Segmental Analysis
Based on workflow, the global AI-Enabled Medical Imaging Solutions market categorized into Image Analysis, Image Acquisition, Detection, Reporting and Communication, Diagnosis and Treatment Decision Support, Predictive Analysis and Risk Assessment, Triage, and Equipment Maintenance. The Image Analysis projected to dominate the market by 2030 due to AI help in increasing skills in visual image analysis through reconstruction techniques such as optimize reconstruction performance, deep learning‐based methods reforms image for finding a mapping between the sensor and the image domain. Image Acquisition segment will grow due to the power of AI to reducing noise and artifacts and enhancing contrast, giving physicians a clearer view of the patient’s pathology.Application Segmental Analysis
Based on application, the global AI-Enabled Medical Imaging Solutions market classified into Cardiology, Oncology, Neurology, Respiratory, Orthopedics, and Others. The Cardiology segment estimated to generate maximum revenue by 2030, due to the growing demand for AI for using echocardiographic images to classify the view of the mages. AI assists in evaluating coronary artery vulnerable plaques, perform intelligent assisted diagnosis of coronary heart disease and plan stent implantation plans. The Neurology segment will grow attributable to the benefits of AI in cardiology to complex manifestations of heterogeneous central nervous system neoplasms for improving patient outcomes.Technology Segmental Analysis
Based on technology, the global AI-Enabled Medical Imaging Solutions market categorized into Deep Learning, Computer Vision, and Others. Computer Vision segment expected to gain maximum revenue by 2030 owing to its help in transforming medical imaging and diagnosis of a range of diseases. The deep learning segment will surge in the forecast period as deep learning used for image analysis to devise imaging-based diagnostic and classification systems of disease problems.Modality Segmental Analysis
Based on modality, the global AI-Enabled Medical Imaging Solutions market segregated into Computed Tomography (CT), Magnetic Resonance (MR), Ultrasound, X-Ray, Mammography, Multimodality Imaging Systems, and Others. Computer Vision segment expected to gain maximum revenue by 2030 owing to detect the small changes in the brain of patients, and quantitative analysis of brain MRI may improve the clinical diagnosis efficiency.End-User Segmental Analysis
Based on end-user, the global AI-Enabled Medical Imaging Solutions market categorized into Hospitals, R&D Centers, and Laboratories and Diagnostic Centers. The hospital segment will witness the largest share in the market in the forecast period. It is primarily due to the rise in chronic disease and the growing aging population across the world, along with the massive surge in patients’ volumes in hospitals. Diagnostic centers segment will influence on account of the technological adoption by diagnostic centers for early detection of disease.Region Segmental Analysis
Based on geography, the global AI-Enabled Medical Imaging Solutions market segmented into North America, Europe, Asia Pacific, South America, and Middle East & Africa. North America estimated to occupy the lion’s market share by 2030, owing to the strong presence of AI in medical imaging vendors in these regions and financial aid by governments for technological research in the healthcare industry. The Asia Pacific will be the fastest-growing segment due to the surge in the financial expenditure by the government on the healthcare industry and the fastest-growing economies.Competitor Analysis
Companies such as Microsoft Corporation, Samsung Electronics Co. Ltd., Arterys, Gauss Surgical, Enlitic Inc., Siemens Healthineers AG, IBM Corporation, Bay Labs, Inc., Qure.ai, Lunit Inc., Beijing Infervision Technology Co., Ltd., Blackford Analysis Limited, ContextVision AB, Fujifilm Holdings Corporation, Koninklijke Philips N.V., MIRADA MEDICAL LIMITED, Nuance Communications, Inc., and NVIDIA Corporation are the key players in the Global AI-Enabled Medical Imaging Solutions Market.New Investment Analysis:
- In Sept. 2019, Medical technology firm Riverain Technologies received a $15m growth investment for global expansion. The company’s ClearRead suite of products supports clinicians in improving patient outcomes. The products, which can be implemented in the clinic or through the cloud, are powered by the most advanced AI and machine learning methods available to the medical imaging market.
- In Aug 2019, Tel Aviv-based medical imaging AI startup Aidoc announced a $27 million Series B round. Aidoc’s technology doesn’t require dedicated hardware and runs continuously on hospital systems, automatically ingesting radiological images.
Key Stakeholders
- Market research and consulting firms
- Industry associations
- Global AI-Enabled Medical Imaging Solutions service providers
- Research organizations and consulting companies
- Organizations, associations, and alliances related to AI-Enabled Medical Imaging Solutions
- Regulatory bodies
Scope of the report
| Report Attribute | Details |
|---|---|
| Market size value in 2020 | USD 656 million |
| Revenue forecast in 2027 | USD 912.3 million |
| Growth Rate | CAGR of 25.86% from 2020 to 2027 |
| Historical data | 2017-2019 |
| Forecast period | 2021 – 2027 |
| Region covered | North America, Europe, Asia-Pacific, South America, and Middle East & Africa |
| Key companies Profiled | Microsoft Corporation, IBM Corporation, Bay Labs, Inc., Qure.ai, Lunit Inc., Beijing Infervision Technology Co., Ltd., Samsung Electronics Co. Ltd., Arterys, Gauss Surgical, Enlitic Inc., Siemens Healthineers AG, Blackford Analysis Limited, ContextVision AB, Fujifilm Holdings Corporation, Koninklijke Philips N.V., MIRADA MEDICAL LIMITED, Nuance Communications, Inc., and NVIDIA Corporation |
Recent Developments
- In July 2022, the FDA has given Philips SmartSpeed AI-based software its 510(k) clearance, allowing it to deliver ground-breaking high-speed, high-resolution MR imaging. Its broad compatibility allows quicker and higher-quality scans for almost all patients with different illnesses, including those with implants (97% of clinical protocols).
- In September 2021, Roche launched the Roche Digital Pathology Open Environment, allowing software developers to easily integrate their image analysis tools for tumor tissue with Roche’s UPath Enterprise software.
- In September 2021, Nuance launched AI-powered radiology solutions to Australia, New Zealand, designed to reduce burnout among radiologists and enhance reporting and clinical outcomes.
- In August 2021, Probo Medical signed an agreement to become an authorized distributor of ultrasound solutions for Mindray North America to provide physicians with immediate and direct access to Mindray’s wide range of innovative, category-leading ultrasound imaging products and related accessories.
The objective of the Research
- Market modeling starts with identifying a target market where historical data exists. A Market can include prediction problems, economic factors, analyzing customer behavior, and identifying new patterns from past events, which helps our client to have deep dive into the market.
- Product analysis involves steps such as examining product features, costs, availability, quality, and other aspects. Product analysis is conducted to understand potential buyers and measure competition in the market.
- Market Trend and Economic Factors Analysis helps in assessing potential changes to an economy’s inflation rate, taxes, interest rates, exchange rates, trading regulations, and excise duties that can or have a major effect on the target market.
- Market Segmental Analysis defines in-depth scenario of the target market by the process of grouping consumers into naturally existing created segments of consumers who share similar product preferences or characteristics
- The geographical mapping approach helps our clients to understand national or international markets because different consumers in different regions have different needs wants, and cultural characteristics that can be specifically targeted.
Market Modelling
By Product- Software
- Services
- Image Analysis
- Image Acquisition
- Detection
- Reporting and Communication
- Diagnosis and Treatment Decision Support
- Predictive Analysis and Risk Assessment
- Triage
- Equipment Maintenance
- Cardiology
- Oncology
- Neurology
- Respiratory
- Orthopedics
- Others
- Deep Learning
- Computer Vision
- Others
- Computed Tomography (CT)
- Magnetic Resonance (MR)
- Ultrasound
- X-Ray
- Mammography
- Multimodality Imaging Systems,
- Others
- Hospitals
- R&D Centers and Laboratories
- Diagnostic Centers
- North America
- Europe
- Asia Pacific
- South America
- Middle East & Africa
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Report Content
- Research Strategic Development
1.1. Market Modelling
1.2. Product Analysis
1.3. Market Trend and Economic Factors Analysis
1.4. Market Segmental Analysis
1.5. Geographical Mapping
1.6. Country Wise Segregation
- Research Methodology
2.1. Identification of Target Market
2.2. Data Acquisition
2.3. Refining of Data/ Data Transformations
2.4. Data Validation through Primary Techniques
2.5. Exploratory Data Analysis
2.6. Graphical Techniques/Analysis
2.7. Quantitative Techniques/Analysis
2.8. Visual Result/Presentation
- Executive Summary
- Market Insights
4.1. Supply Chain Analysis
4.2. Economic Factor Analysis
4.2.1. Drivers
4.2.2. Trends
4.2.3. Opportunities
4.2.4. Challenges
4.3. Technological Landscape
4.4. Competitors & Product Analysis
4.5. Regulatory Framework
4.6. Company market share analysis, 2022
4.7. Porter’s Five forces analysis
4.8. Price point analysis
4.9. New Investment Analysis
4.10. PESTEL Analysis
- Global AI-Enabled Medical Imaging Solutions Market Overview
5.1. Market Size & Forecast,2017-2030
5.1.1. Demand
5.1.1.1. By Value (USD Billion)
5.2. Market Share & Forecast, 2017-2030
5.2.1. By Product
5.2.1.1. Software
5.2.1.2. Services
5.2.2. By Workflow
5.2.2.1. Image Analysis
5.2.2.2. Image Acquisition
5.2.2.3. Detection
5.2.2.4. Reporting and Communication
5.2.2.5. Diagnosis and Treatment Decision Support
5.2.2.6. Predictive Analysis and Risk Assessment
5.2.2.7. Triage
5.2.2.8. Equipment Maintenance
5.2.3. By Application
5.2.3.1. Cardiology
5.2.3.2. Oncology
5.2.3.3. Neurology
5.2.3.4. Respiratory
5.2.3.5. Orthopedics
5.2.3.6. Others
5.2.4. By Technology
5.2.4.1. Deep Learning
5.2.4.2. Computer Vision
5.2.4.3. Others
5.2.5. By Modality
5.2.5.1. Computed Tomography (CT)
5.2.5.2. Magnetic Resonance (MR)
5.2.5.3. Ultrasound
5.2.5.4. X-Ray
5.2.5.5. Mammography
5.2.5.6. Multimodality Imaging Systems,
5.2.5.7. Others
5.2.6. By End-User
5.2.6.1. Hospitals
5.2.6.2. Homecare
5.2.7. By Region
5.2.7.1. North America
5.2.7.2. Europe
5.2.7.3. Asia-Pacific
5.2.7.4. South America
5.2.7.5. The Middle East & Africa
- North America AI-Enabled Medical Imaging Solutions Market Overview
6.1. North America AI-Enabled Medical Imaging Solutions Market Size & Forecast,2017-2030
6.1.1. Demand
6.1.1.1. By Value (USD Billion)
6.2. Market Share & Forecast, 2017-2030
6.2.1. By Product
6.2.1.1. Software
6.2.1.2. Services
6.2.2. By Workflow
6.2.2.1. Image Analysis
6.2.2.2. Image Acquisition
6.2.2.3. Detection
6.2.2.4. Reporting and Communication
6.2.2.5. Diagnosis and Treatment Decision Support
6.2.2.6. Predictive Analysis and Risk Assessment
6.2.2.7. Triage
6.2.2.8. Equipment Maintenance
6.2.3. By Application
6.2.3.1. Cardiology
6.2.3.2. Oncology
6.2.3.3. Neurology
6.2.3.4. Respiratory
6.2.3.5. Orthopedics
6.2.3.6. Others
6.2.4. By Technology
6.2.4.1. Deep Learning
6.2.4.2. Computer Vision
6.2.4.3. Others
6.2.5. By Modality
6.2.5.1. Computed Tomography (CT)
6.2.5.2. Magnetic Resonance (MR)
6.2.5.3. Ultrasound
6.2.5.4. X-Ray
6.2.5.5. Mammography
6.2.5.6. Multimodality Imaging Systems,
6.2.5.7. Others
6.2.6. By End-User
6.2.6.1. Hospitals
6.2.6.2. Homecare
6.2.7. By Country
6.2.7.1. US
6.2.7.2. Canada
6.2.7.3. Mexico
6.2.8. Company Market Share (Top 3-5)
6.2.9. Economic Impact Study on North America AI-Enabled Medical Imaging Solutions Market
- Europe AI-Enabled Medical Imaging Solutions Market Overview
7.1. Europe AI-Enabled Medical Imaging Solutions Market Size & Forecast,2017-2030
7.1.1. Demand
7.1.1.1. By Value (USD Billion)
7.2. Market Share & Forecast, 2017-2030
7.2.1. By Product
7.2.1.1. Software
7.2.1.2. Services
7.2.2. By Workflow
7.2.2.1. Image Analysis
7.2.2.2. Image Acquisition
7.2.2.3. Detection
7.2.2.4. Reporting and Communication
7.2.2.5. Diagnosis and Treatment Decision Support
7.2.2.6. Predictive Analysis and Risk Assessment
7.2.2.7. Triage
7.2.2.8. Equipment Maintenance
7.2.3. By Application
7.2.3.1. Cardiology
7.2.3.2. Oncology
7.2.3.3. Neurology
7.2.3.4. Respiratory
7.2.3.5. Orthopedics
7.2.3.6. Others
7.2.4. By Technology
7.2.4.1. Deep Learning
7.2.4.2. Computer Vision
7.2.4.3. Others
7.2.5. By Modality
7.2.5.1. Computed Tomography (CT)
7.2.5.2. Magnetic Resonance (MR)
7.2.5.3. Ultrasound
7.2.5.4. X-Ray
7.2.5.5. Mammography
7.2.5.6. Multimodality Imaging Systems,
7.2.5.7. Others
7.2.6. By End-User
7.2.6.1. Hospitals
7.2.6.2. Homecare
7.2.7. By Country
7.2.7.1. Germany
7.2.7.2. UK
7.2.7.3. France
7.2.7.4. Italy
7.2.7.5. Rest of Europe
7.2.8. Company Market Share (Top 3-5)
7.2.9. Economic Impact Study on Europe AI-Enabled Medical Imaging Solutions Market
- Asia-Pacific AI-Enabled Medical Imaging Solutions Market Overview
8.1. Asia-Pacific AI-Enabled Medical Imaging Solutions Market Size & Forecast,2017-2030
8.1.1. Demand
8.1.1.1. By Value (USD Billion)
8.2. Market Share & Forecast, 2017-2030
8.2.1. By Product
8.2.1.1. Software
8.2.1.2. Services
8.2.2. By Workflow
8.2.2.1. Image Analysis
8.2.2.2. Image Acquisition
8.2.2.3. Detection
8.2.2.4. Reporting and Communication
8.2.2.5. Diagnosis and Treatment Decision Support
8.2.2.6. Predictive Analysis and Risk Assessment
8.2.2.7. Triage
8.2.2.8. Equipment Maintenance
8.2.3. By Application
8.2.3.1. Cardiology
8.2.3.2. Oncology
8.2.3.3. Neurology
8.2.3.4. Respiratory
8.2.3.5. Orthopedics
8.2.3.6. Others
8.2.4. By Technology
8.2.4.1. Deep Learning
8.2.4.2. Computer Vision
8.2.4.3. Others
8.2.5. By Modality
8.2.5.1. Computed Tomography (CT)
8.2.5.2. Magnetic Resonance (MR)
8.2.5.3. Ultrasound
8.2.5.4. X-Ray
8.2.5.5. Mammography
8.2.5.6. Multimodality Imaging Systems,
8.2.5.7. Others
8.2.6. By End-User
8.2.6.1. Hospitals
8.2.6.2. Homecare
8.2.7. By Country
8.2.7.1. India
8.2.7.2. Japan
8.2.7.3. Australia
8.2.7.4. Rest of Asia Pacific
8.2.8. Company Market Share (Top 3-5)
8.2.9. Economic Impact Study on Asia Pacific AI-Enabled Medical Imaging Solutions Market
- South America AI-Enabled Medical Imaging Solutions Market Overview
9.1. South America AI-Enabled Medical Imaging Solutions Market Size & Forecast,2017-2030
9.1.1. Demand
9.1.1.1. By Value (USD Billion)
9.2. Market Share & Forecast, 2017-2030
9.2.1. By Product
9.2.1.1. Software
9.2.1.2. Services
9.2.2. By Workflow
9.2.2.1. Image Analysis
9.2.2.2. Image Acquisition
9.2.2.3. Detection
9.2.2.4. Reporting and Communication
9.2.2.5. Diagnosis and Treatment Decision Support
9.2.2.6. Predictive Analysis and Risk Assessment
9.2.2.7. Triage
9.2.2.8. Equipment Maintenance
9.2.3. By Application
9.2.3.1. Cardiology
9.2.3.2. Oncology
9.2.3.3. Neurology
9.2.3.4. Respiratory
9.2.3.5. Orthopedics
9.2.3.6. Others
9.2.4. By Technology
9.2.4.1. Deep Learning
9.2.4.2. Computer Vision
9.2.4.3. Others
9.2.5. By Modality
9.2.5.1. Computed Tomography (CT)
9.2.5.2. Magnetic Resonance (MR)
9.2.5.3. Ultrasound
9.2.5.4. X-Ray
9.2.5.5. Mammography
9.2.5.6. Multimodality Imaging Systems,
9.2.5.7. Others
9.2.6. By End-User
9.2.6.1. Hospitals
9.2.6.2. Homecare
9.2.7. By Country
9.2.7.1. Brazil
9.2.7.2. Argentina
9.2.7.3. Rest of South America
9.2.8. Company Market Share (Top 3-5)
9.2.9. Economic Impact Study on South America AI-Enabled Medical Imaging Solutions Market
- The Middle East & Africa AI-Enabled Medical Imaging Solutions Market Overview
10.1. The Middle East & Africa AI-Enabled Medical Imaging Solutions Market Size & Forecast,2017-2030
10.1.1. Demand
10.1.1.1. By Value (USD Billion)
10.2. Market Share & Forecast, 2017-2030
10.2.1. By Product
10.2.1.1. Software
10.2.1.2. Services
10.2.2. By Workflow
10.2.2.1. Image Analysis
10.2.2.2. Image Acquisition
10.2.2.3. Detection
10.2.2.4. Reporting and Communication
10.2.2.5. Diagnosis and Treatment Decision Support
10.2.2.6. Predictive Analysis and Risk Assessment
10.2.2.7. Triage
10.2.2.8. Equipment Maintenance
10.2.3. By Application
10.2.3.1. Cardiology
10.2.3.2. Oncology
10.2.3.3. Neurology
10.2.3.4. Respiratory
10.2.3.5. Orthopedics
10.2.3.6. Others
10.2.4. By Technology
10.2.4.1. Deep Learning
10.2.4.2. Computer Vision
10.2.4.3. Others
10.2.5. By Modality
10.2.5.1. Computed Tomography (CT)
10.2.5.2. Magnetic Resonance (MR)
10.2.5.3. Ultrasound
10.2.5.4. X-Ray
10.2.5.5. Mammography
10.2.5.6. Multimodality Imaging Systems,
10.2.5.7. Others
10.2.6. By End-User
10.2.6.1. Hospitals
10.2.6.2. Homecare
10.2.7. By Country
10.2.7.1. Saudi Arabia
10.2.7.2. UAE
10.2.7.3. South Africa
10.2.7.4. Rest of the Middle East & Africa
10.2.8. Company Market Share (Top 3-5)
10.2.9. Economic Impact Study on Middle East & Africa AI-Enabled Medical Imaging Solutions Market
- Competitor Analysis
11.1. Company Description
11.2. Financial Analysis
11.3. Key Products
11.4. Key Management Personnel
11.5. Contact Address
11.6. SWOT Analysis
11.7. Company Profile
11.7.1. Microsoft Corporation
11.7.2. Samsung Electronics Co. Ltd.
11.7.3. Arterys
11.7.4. Gauss Surgical
11.7.5. Enlitic Inc.
11.7.6. Siemens Healthineers AG
11.7.7. IBM Corporation
11.7.8. Bay Labs, Inc.
11.7.9. Ai
11.7.10. Lunit Inc.
11.7.11. Beijing Infervision Technology Co., Ltd.
11.7.12. Blackford Analysis Limited
11.7.13. ContextVision AB
11.7.14. Fujifilm Holdings Corporation
11.7.15. Koninklijke Philips N.V.
11.7.16. MIRADA MEDICAL LIMITED
11.7.17. Nuance Communications, Inc.,
11.7.18. NVIDIA Corporation
11.7.19. Other Prominent Players
Frequently Asked Questions (FAQ):
Global AI-Enabled Medical Imaging Solutions Market is estimated to reach USD 27.2 billion by 2030, and It was valued at USD 1.9 billion in 2022.
The growth rate of the AI-Enabled Medical Imaging Solutions Market is 32.1% during the forecast period.
North America is anticipated to dominate the AI-Enabled Medical Imaging Solutions market due to the strong existence of AI in medical imaging vendors and increasing government initiatives.
Diagnostic Centers, Hospitals, R&D Centers and Laboratories are the end-users of the AI-Enabled Medical Imaging Solutions Market products.
Microsoft Corporation, IBM Corporation, Bay Labs, Inc., Qure.ai, Lunit Inc., Beijing Infervision Technology Co., Ltd., Samsung Electronics Co. Ltd., Arterys, Gauss Surgical, Enlitic Inc., Siemens Healthineers AG, Blackford Analysis Limited, ContextVision AB, Fujifilm Holdings Corporation, Koninklijke Philips N.V., MIRADA MEDICAL LIMITED, Nuance Communications, Inc., and NVIDIA Corporation are the key companies in the global AI-Enabled Medical Imaging Solutions market.
