Global AI-Enabled Medical Imaging Solutions market projected to drive by the growing adoption of AI solutions for use in the image analysis, and decision support
Global AI-enabled medical imaging solutions market likely to grow with a noteworthy rate during the forecast period, 2020-2027. It is due to the AI transforming several aspects of healthcare, with imaging-enabled specialties such as radiology and pathology. Additionally, the surge in demand for AI-based imaging for improved data management and enhance the efficiency of treatments will accelerate the global AI-enabled medical imaging solutions market in the future periods. Moreover, the upsurge in the prevalence of chronic diseases and the rise in the geriatric population is estimated to fuel the global AI-enabled medical imaging solutions industry.
In the diagnosis of brain diseases, AI quickly locates the area of a cerebral haemorrhage, accurately quantifies the volume of bleeding, determines whether there is a cerebral hernia, and at the same time, can complete the professionally demanding and time-consuming image evaluation at the speed of seconds. The rise in the adoption of AI in medical imaging, such as radiology, for the widening gap between the increasing number of scans and the number of available radiologists that can read data. Furthermore, AI-based medical imaging has helped diagnostic labs and hospitals for improving access and precision, decrease cost, and make the impact of radiation less harmful.
Product Type Overview in the Global AI-Enabled Medical Imaging Solutions Market
Based on the product, the global AI-Enabled Medical Imaging Solutions market bifurcated into Software and Services. The Software segment likely to lead the AI-Enabled Medical Imaging Solutions market by 2027, as AI help in improving medical imaging capabilities such as higher automation, increased productivity, and enhance medical imaging processes like image analysis and help with patient diagnosis.
Workflow Overview in the Global AI-Enabled Medical Imaging Solutions market
Based on workflow, the global AI-Enabled Medical Imaging Solutions market categorized into Image Analysis, Diagnosis and Treatment Decision Support, Image Acquisition, Detection, Reporting and Communication, Predictive Analysis and Risk Assessment, Triage, and Equipment Maintenance. The Image Analysis segment estimated to dominate the market by 2027, due to the AI-based imaging identifies anomalies and diseases based on medical images better than doctors. It also speeds up the process of analyzing CT scans with improved accuracy.
Application Overview in the Global AI-Enabled Medical Imaging Solutions Market
Based on application, the global AI-Enabled Medical Imaging Solutions market classified into Cardiology, Oncology, Neurology, Respiratory, Orthopaedics, and Others. The Cardiology segment accounted for a larger share in 2019. It will continue the growth rate by 2027, attributable to AI intelligently help in diagnose complex diseases such as aortic disease types and aortic aneurysms.
Modality Overview in the Global AI-Enabled Medical Imaging Solutions Market
Based on modality, the global AI-Enabled Medical Imaging Solutions market segregated into Computed Tomography (CT), Ultrasound, Magnetic Resonance (MR), X-Ray, Mammography, Multimodality Imaging Systems, and Others. Magnetic Resonance (MR) segment will witness a higher growth rate during the forecast period. It is primarily due to MRI used for the identification of neuronal degeneration in brain disease and to monitor the brain disease progression in clinical trials.
End-User Overview in the Global AI-Enabled Medical Imaging Solutions Market
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 segments estimated to dominate the market by 2027 attributable to the surge in volumes of patients in hospitals along with growing disposable income people are capable enough to access to imaging procedures for early detection of diseases.
Regional Overview in the Global AI-Enabled Medical Imaging Solutions Market
By geography, the Global AI-Enabled Medical Imaging Solutions Market segmented into North America, Europe, Asia Pacific, Middle East & Africa, and South America. North America witnessed a higher revenue share in 2019. It will continue the growth rate by 2027, owing to the growing technological advances in the healthcare industry, government funds for expansion of healthcare services, and the number of diagnostic procedures increasing every year in the region.
Global AI-Enabled Medical Imaging Solutions Market: Competitive Landscape
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.
Global AI-Enabled Medical Imaging Solutions Market
Report Content
1. 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
2. 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
3. Executive Summary
4. Market Insights
4.1. Economic Factor Analysis
4.1.1. Drivers
4.1.2. Trends
4.1.3. Opportunities
4.1.4. Challenges
4.2. Technological Landscape
4.3. Competitors & Product Analysis
4.4. Regulatory Framework
4.5. Company market share analysis, 2019
4.6. Porter's Five forces analysis
4.7. New Investment Analysis
4.8. PESTEL Analysis
5. Global AI-Enabled Medical Imaging Solutions Market Overview
5.1. Market Size & Forecast, 2016-2027
5.1.1. Demand
5.1.1.1. By Value (USD Million)
5.2. Market Share & Forecast, 2016-2027
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. Deep Learning
5.2.5.2. Computer Vision
5.2.5.3. Others
5.2.6. By End-User
5.2.6.1. Hospitals
5.2.6.2. Ambulatory Surgery Centers
5.2.6.3. Others
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. Middle East & Africa
6. North America AI-Enabled Medical Imaging Solutions Market Overview
6.1. North America AI-Enabled Medical Imaging Solutions Market Size & Forecast, 2016-2027
6.1.1. Demand
6.1.1.1. By Value (USD Million)
6.2. North America AI-Enabled Medical Imaging Solutions Market Share & Forecast, 2016-2027
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. Deep Learning
6.2.5.2. Computer Vision
6.2.5.3. Others
6.2.6. By End-User
6.2.6.1. Hospitals
6.2.6.2. Ambulatory Surgery Centers
6.2.6.3. Others
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
7. Europe AI-Enabled Medical Imaging Solutions Market Overview
7.1. Europe AI-Enabled Medical Imaging Solutions Market Size & Forecast, 2016-2027
7.1.1. Demand
7.1.1.1. By Value (USD Million)
7.2. Europe AI-Enabled Medical Imaging Solutions Market Share & Forecast, 2016-2027
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. Deep Learning
7.2.5.2. Computer Vision
7.2.5.3. Others
7.2.6. By End-User
7.2.6.1. Hospitals
7.2.6.2. Ambulatory Surgery Centers
7.2.6.3. Others
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
8. Asia Pacific AI-Enabled Medical Imaging Solutions Market Overview
8.1. Asia Pacific AI-Enabled Medical Imaging Solutions Market Size & Forecast, 2016-2027
8.1.1. Demand
8.1.1.1. By Value (USD Million)
8.2. Asia Pacific AI-Enabled Medical Imaging Solutions Market Share & Forecast, 2016-2027
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. Deep Learning
8.2.5.2. Computer Vision
8.2.5.3. Others
8.2.6. By End-User
8.2.6.1. Hospitals
8.2.6.2. Ambulatory Surgery Centers
8.2.6.3. Others
8.2.7. By Country
8.2.7.1. China
8.2.7.2. India
8.2.7.3. Japan
8.2.7.4. Australia
8.2.7.5. 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
9. South America AI-Enabled Medical Imaging Solutions Market Overview
9.1. South America AI-Enabled Medical Imaging Solutions Market Size & Forecast, 2016-2027
9.1.1. Demand
9.1.1.1. By Value (USD Million)
9.2. South America AI-Enabled Medical Imaging Solutions Market Share & Forecast, 2016-2027
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. Deep Learning
9.2.5.2. Computer Vision
9.2.5.3. Others
9.2.6. By End-User
9.2.6.1. Hospitals
9.2.6.2. Ambulatory Surgery Centers
9.2.6.3. Others
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
10. Middle East & Africa AI-Enabled Medical Imaging Solutions Market Overview
10.1. Middle East & Africa AI-Enabled Medical Imaging Solutions Market Size & Forecast, 2016-2027
10.1.1. Demand
10.1.1.1. By Value (USD Million)
10.2. Middle East & Africa AI-Enabled Medical Imaging Solutions Market Share & Forecast, 2016-2027
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. Deep Learning
10.2.5.2. Computer Vision
10.2.5.3. Others
10.2.6. By End-User
10.2.6.1. Hospitals
10.2.6.2. Ambulatory Surgery Centers
10.2.6.3. Others
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 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
11. 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. Qure.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
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