Artificial Intelligence In Medical Imaging Market Overview
Researchers have applied AI to automatically identify complex patterns in imaging data and provide quantitative assessment of radiographic features. In radiation oncology, AI is based on different imaging modalities that are used at different stages of treatment. By using AI in medical imaging, clinicians can detect conditions early, encouraging early intervention At Tulane University, researchers discovered that AI can detect and diagnose colorectal cancer accurately or better than pathologists by analyzing tissue scans. AI-based technology delivers precise volumetric measurements to determine how much healthy brain tissue is spared from damage, and then automatically feeds that data into dictation and other systems. Medical specialty radiology has experienced many highly significant and influential technological developments in the past that have impacted how medical imaging is deployed. Artificial intelligence is another such development that will potentially revolutionize the practice of radiology. This commentary traces the historical evolution of some of the biggest changes in radiology as a backdrop to how AI can be adopted into practice. The potential new capabilities provided by AI offer exciting prospects for more efficient and effective use of medical images. Artificial intelligence is a disruptive technology that involves the use of computerized algorithms to dissect complex data, the most promising clinical applications of AI are in diagnostic imaging and are being focused on establishing and tuning its performance and facilitating information discovery and validation in a wide range of clinical situations. While the use of artificial intelligence in diagnostic medical imaging is being widely evaluated, AI has shown impressive accuracy and sensitivity in identifying imaging abnormalities and promising, with one major drawback, namely, the detection of subtle changes of uncertain significance. For example, analysis of screening mammograms has shown that artificial neural networks are no more accurate than radiologists in detecting cancer but consistently have higher sensitivity for pathological findings, particularly microscopic lesions. Artificial intelligence using deep learning technology has achieved great success in the field of medical imaging due to its high feature extraction capabilities. Digital data and technology have revolutionized the imaging sector, hence, the use of AI-based solutions in the healthcare sector has increased over the past few years and these factors are predicted to drive the Artificial Intelligence in Medical Imaging Market in the coming years.
|
Attributes |
Details |
|
Global Artificial Intelligence in Medical Imaging Market Value (2022) |
US$ 1.7Bn |
|
Global Artificial Intelligence in Medical Imaging Market Projected Value(2032) |
US$ 21.7 Bn |
|
Global Artificial Intelligence in Medical Imaging Market CAGR (2022-2032) |
38.8% |
Artificial Intelligence In Medical Imaging Market Dynamics
Incorporation of AI in healthcare and medical imaging has changed the way of diagnostics, which has contributed to the growth of global AI in medical imaging market, and increasing prevalence of various lifestyle-related chronic diseases such as cancer and cardiovascular conditions are other major factors. Driving Artificial Intelligence in the Medical Imaging Market. Furthermore, AI is an essential boosting power to process a large number of medical images and hence, reveal disease symptoms that cannot be identified normally, thus the Artificial Intelligence in medical imaging market is expected to grow during the upcoming year. Image analysis, image segmentation of infected lung regions, and analysis for clinical evaluation are the foundations of AI-based COVID-19 diagnostic procedures. These AI-based approaches have demonstrated significant commercialization potential for AI in the medical imaging market during the forecast period. Nevertheless, medical specialists and radiologists are likely to show more inclination towards AI-based technologies in healthcare in the coming years, which is likely to bode well for the global AI in medical imaging market. The use of AI in healthcare and medical imaging has transformed the diagnostic process, fueling the market growth of AI in medical imaging globally. And on the other hand, healthcare products depend on regulatory approvals for commercialization, which is expected to hinder AI in the growth of the medical imaging market. However, factors such as slow regulatory approval process, lack of real-world validation to validate economic benefits and return on investment, and long sales and implementation cycles may hinder market growth.
Technological advancement
Increasing adoption of new technologies and smart solutions with the help of artificial intelligence is the next revolution in patient care that is driving the growth of the market. Artificial intelligence technology can be used in applications such as diagnosis and treatment of complex diseases in the healthcare sector. Research institutions, medical facilities and medical device manufacturers are tapping into next-generation medical imaging, for example, a study by Stanford University used an AI algorithm called CheXNeXt to evaluate chest X-rays for 14 different pathologies. Such technological advancements along with research and development initiatives are enabling AI to increase the accuracy of medical images. This technology is considered to show promising results in risk assessment, screening and precision medicine. In July 2022, Unilabs, a leading diagnostic services provider, announced a partnership with Subtle Medical, a healthcare technology company, to further improve the quality and efficiency of its MRI imaging, using artificial intelligence for faster and higher quality MRI. Manufactures involved in Artificial Intelligence in Medical Imaging Market are developing advanced versions of their products due to new age technological advancements. Key players of Artificial Intelligence in Medical Imaging are investing more in power systems and creating more modern, timesaving, cost-effective technology that has a positive impact on the Artificial Intelligence in Medical Imaging market.
Artificial Intelligence In Medical Imaging Market Segmentation
Disclaimer: This data is only a representation. Actual data may vary and will be available in the report.
The Artificial Intelligence in Medical Imaging Market is segmented based on technology, modality, application, end use and region. On the basis of technology, the Artificial Intelligence in Medical Imaging Market is segmented into Deep Learning, NLP. On the basis of modality, the target market is classified into Ultrasound Scanners, CT Scanners, MRI System, Optical Coherence Tomography Devices, Other. On the basis of application, the Artificial Intelligence in Medical Imaging Market is segmented into Digital Pathology, Oncology, Neurology, Respiratory, & Pulmonary, Cardiology, Oral Diagnostics, Other. On the basis of end use, the target market is classified into Hospital, Clinics, and Diagnostic Centers.
Regional Insights:
Disclaimer: This data is only a representation. Actual data may vary and will be available in the report.
On region the Artificial Intelligence in Medical Imaging Market is segmented into North America, Europe, Asia Pacific, Latin America, and Middle East & Africa. North America holds the largest market share and is expected to continue the same during the forecast period owing to well-established healthcare and pharmaceutical systems supporting the use of new technologies in the region.
Report Scope:
|
Attribute |
Details |
|
Base year for estimation |
2022 |
|
Forecast period |
2022 – 2032 |
|
Market representation |
Revenue in USD Billion & CAGR from 2022 to 2032 |
|
Market Segmentation |
By Technology - Deep Learning, NLP By Modality - Ultrasound Scanners, CT Scanners, MRI System, Optical Coherence Tomography Devices, Other By Application - Digital Pathology, Oncology, Neurology, Respiratory, & Pulmonary, Cardiology, Oral Diagnostics, Other By End Use - Hospital, Clinics, Diagnostic Centers |
|
Regional scope |
North America - U.S., Canada Europe - UK, Germany, Spain, France, Italy, Russia, Rest of Europe Asia Pacific - Japan, India, China, South Korea, Australia, Rest of Asia-Pacific Latin America - Brazil, Mexico, Argentina, Rest of Latin America Middle East & Africa - South Africa, Saudi Arabia, UAE, Rest of Middle East & Africa |
|
Report coverage |
Revenue forecast, company share, competitive landscape, growth factors, and trends |
Segments Covered in the Report:
This report forecasts revenue growth at global, regional, and country levels and provides an analysis of the latest industry trends and opportunities in each of the sub-segments from 2022 to 2032. For the purpose of this study, has segmented the Artificial Intelligence in Medical Imaging Market report based on technology, modality, application, end use and region:
Artificial Intelligence in Medical Imaging Market, By Technology:
- Deep Learning
- NLP
Artificial Intelligence in Medical Imaging Market, By Modality:
- Ultrasound Scanners
- CT Scanners
- MRI System
- Optical Coherence Tomography Devices
- Other
Artificial Intelligence in Medical Imaging Market, By Application:
- Digital Pathology
- Oncology
- Neurology
- Respiratory, & Pulmonary
- Cardiology
- Oral Diagnostics
- Other
Artificial Intelligence in Medical Imaging Market, By End Use:
- Hospital
- Clinics
- Diagnostic Centers
Artificial Intelligence in Medical Imaging Market, By Region:
-
-
- North America
-
- U.S.
- Canada
-
- Europe
-
- Germany
- UK
- France
- Russia
- Italy
- Rest of Europe
-
- Asia Pacific
-
- China
- India
- Japan
- South Korea
- Rest of Asia Pacific
-
- Latin America
-
- Brazil
- Mexico
- Rest of Latin America
-
- Middle East & Africa
-
- GCC
- Israel
- South Africa
- Rest of Middle East & Africa
-
- North America
-
Artificial Intelligence In Medical Imaging Market Key Players
The key players operating the Artificial Intelligence in Medical Imaging Market includes, Siemens Healthcare AG, Arterys, AZmed, Caption Health, Zebra Medical Vision, Inc., Koninklije Philips N.V., Agfa Healthcare, GE Healthcare, Inc., IBM Corporation, and Microsoft Corporation.
Artificial Intelligence In Medical Imaging Market Company Profile
- Siemens Healthcare AG*
- Company Overview
- Product Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- Arterys
- AZmed
- Caption Health
- Zebra Medical Vision, Inc.
- Koninklije Philips N.V.
- Agfa Healthcare
- GE Healthcare, Inc.
- IBM Corporation
- Microsoft Corporation
“*” marked represents similar segmentation in other categories in the respective section
Recent Developments:
- In March 2022, Siemens Healthcare showcased the latest products and technologies in radiology at the 74th National Conference, IRIA 2022, in Bangalore, India. Reiterating the need to be at the center of clinical decision-making across the entire healthcare spectrum, Siemens Healthineers presents its unique solutions in the MRI and CT portfolio - Magnetom Free. Star and NAEOTOM Alpha.
- In July 2021, Zebra Medical Vision, a leading medical imaging analytics company, announced the industry-first, landmark approval of the Caterary III Current Preprocedural Terminology Code Application to use AI to detect VCF as an incidental finding in chest CT by American Medical Association.
- In November 2022, Royal Philips, a global leader in health technology, announced its portfolio of smart diagnostic systems and transformative workflow solutions, featured at the Radiological Society of North America Annual Meeting. Powered by AI, the company will showcase the latest systems and informatics solutions designed for providers to efficiently deliver patient-centered, high-quality imaging services.
Artificial Intelligence In Medical Imaging Market Table of Contents
- Research Objective and Assumption
- Preface
- Research Objectives
- Study Scope
- Years Considered for the study
- Assumptions
- Abbreviations
- Research Methodology
- Research data
- Primary Data
- Primary Interviews
- Primary Breakdown
- Key data from Primary Applications
- Key Thickness Insights
- Secondary Data
- Major Secondary Applications
- Secondary Applications
- Market Estimation
- Top-Down Approach
- Approach for estimating Market Share by Top-Down Analysis (Supply Side)
- Bottom-Up Approach
- Approach for estimating market share by Bottom-up Analysis (Demand Side)
- Market Breakdown and Data Triangulation
- Research Assumptions
- Market Purview
- Executive Summary
- Key Findings—Global Outlook for medical carts Strategies
- Key Questions this Study will Answer
- Market Snippet, By Technology
- Market Snippet, By Modality
- Market Snippet, By Application
- Market Snippet, By End Use
- Market Snippet, By Region
- Opportunity Map Analysis
- Executive Summary—3 Big Predictions
- Market Dynamics, Regulations, and Trends Analysis
- Market Dynamics
- Drivers
- Restraints
- Market Opportunities
- Market Trends
- DR Impact Analysis
- PEST Analysis
- Porter’s Five Forces Analysis
- Opportunity Orbit
- Market Investment Feasibility Index
- Macroeconomic Factor Analysis
- Market Dynamics
- Artificial Intelligence in Medical Imaging Market, By Technology
- Overview
- Market Value and Forecast (US$ Bn), and Share Analysis (%), 2022 – 2032
- Y-o-Y Growth Analysis (%), 2022 – 2032
- Segment Trends
- Deep Learning
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- NLP
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Overview
- Artificial Intelligence in Medical Imaging Market, By Modality
- Overview
- Market Value and Forecast (US$ Bn), and Share Analysis (%), 2022 – 2032
- Y-o-Y Growth Analysis (%), 2022 – 2032
- Segment Trends
- Ultrasound Scanners
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- CT Scanners
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- MRI System
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Optical Coherence Tomography Devices
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Other
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Overview
- Artificial Intelligence in Medical Imaging Market, By Application
- Overview
- Market Value and Forecast (US$ Bn), and Share Analysis (%), 2022 – 2032
- Y-o-Y Growth Analysis (%), 2022 – 2032
- Segment Trends
- Digital Pathology
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Oncology
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Neurology
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Respiratory &Pulmonary
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Cardiology
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Oral Diagnostics
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Other
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Overview
- Artificial Intelligence in Medical Imaging Market, By End Use, 2022 – 2032, (US$ Bn)
- Overview
- Market Value and Forecast (US$ Bn), and Share Analysis (%), 2022 – 2032
- Y-o-Y Growth Analysis (%), 2022 – 2032
- Segment Trends
- Hospital
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Clinics
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Diagnostic Centers
- Overview
- Market Size and Forecast (US$ Bn), and Y-o-Y Growth (%), 2022 – 2032
- Overview
- Artificial Intelligence in Medical Imaging Market, By Region, 2022 – 2032, (US$ Bn)
- Overview
- Market Value and Forecast (US$ Bn), and Share Analysis (%), 2022 – 2032
- Y-o-Y Growth Analysis (%), 2022 – 2032
- Regional Trends
- North America
- Market Size and Forecast (US$ Bn), By Technology, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Modality, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Application, 2022 – 2032
- Market Size and Forecast (US$ Bn), By End Use, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Country, 2022 – 2032
- U.S.
- Canada
- Europe
- Market Size and Forecast (US$ Bn), By Technology, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Modality, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Application, 2022 – 2032
- Market Size and Forecast (US$ Bn), By End Use, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Country, 2022 – 2032
- UK
- France
- Germany
- Russia
- Italy
- Rest of Europe
- Asia Pacific
- Market Size and Forecast (US$ Bn), By Technology, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Modality, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Application, 2022 – 2032
- Market Size and Forecast (US$ Bn), By End Use, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Country, 2022 – 2032
- India
- Japan
- South Korea
- China
- Rest of Asia Pacific
- Latin America
- Market Size and Forecast (US$ Bn), By Technology, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Modality, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Application, 2022 – 2032
- Market Size and Forecast (US$ Bn), By End Use, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Country, 2022 – 2032
- Brazil
- Mexico
- Rest of Latin America
- Middle East & Africa
- Market Size and Forecast (US$ Bn), By Technology, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Modality, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Application, 2022 – 2032
- Market Size and Forecast (US$ Bn), By End Use, 2022 – 2032
- Market Size and Forecast (US$ Bn), By Country, 2022 – 2032
- GCC
- Israel
- South Africa
- Rest of Middle East
- Overview
- Competitive Landscape
- Heat Map Analysis
- Market Presence and Specificity Analysis
- Company Profiles
- Siemens Healthcare AG
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- Arterys
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- AZmed
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- Caption Health
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- Zebra Medical Vision, Inc.
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- Koninklije Philips N.V.
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- Agfa Healthcare
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- GE Healthcare, Inc.
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- IBM Corporation
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- Microsoft Corporation
- Company Overview
- Technology Portfolio
- Key Highlights
- Financial Performance
- Business Strategies
- The Last Word
- Future Impact
- About Us
- Contact
FAQs
The Artificial Intelligence in Medical Imaging Market is segmented based on technology, modality, application, end use and region.
Incorporation of AI in healthcare and medical imaging has changed the way of diagnostics, which has contributed to the growth of global AI in medical imaging market.
North America holds the largest market share and is expected to continue the same during the forecast period owing to well-established healthcare and pharmaceutical systems supporting the use of new technologies in the region.
Key players operating in the Artificial Intelligence in Medical Imaging Market includes, Siemens Healthcare AG, Arterys, AZmed, Caption Health, Zebra Medical Vision, Inc., Koninklije Philips N.V., Agfa Healthcare, GE Healthcare, Inc., IBM Corporation, and Microsoft Corporation.