AI in Medical Imaging Market Growth, Size, Revenue, Trends, Demand and Future Outlook
AI in Medical Imaging Market Size- By Technology, By Application, By Modalities, By End Use- Regional Outlook, Competitive Strategies and Segment Forecast to 2033
| Published: Jan-2025 | Report ID: IACT2501 | Pages: 1 - 261 | Formats*: |
| Category : Information & Communications Technology | |||
AI in Medical Imaging Market Introduction and Overview
According to SPER Market Research, the Global AI in Medical Imaging Market is estimated to reach USD 20.84 billion by 2033 with a CAGR of 34.9%.
The AI in medical imaging market is booming due to factors like the surge in large datasets, the need to reduce radiologist workload, increased investment in AI startups, government support, and industry collaborations. A key driver is AI's growing role in radiology, enabling faster and more accurate image analysis, leading to improved diagnoses and streamlined procedures. However, the high cost of AI implementation in medical imaging, including data collection, algorithm development, and hardware acquisition, significantly hinders market growth despite its potential benefits
By Technology: Deep learning segment captured the largest market share
Based on Technology the deep learning segment accounted for the largest share of AI in medical imaging market, driven by its exceptional ability to analyze complex medical images and deliver accurate diagnostics. Convolutional neural networks (CNNs) excel in image recognition, making deep learning essential in medical imaging for faster, more precise interpretations, improved patient outcomes, and efficient workflows. With continued research and collaboration, deep learning is set to revolutionize medical imaging. Additionally, the natural language processing (NLP) segment is expected to grow rapidly, transforming unstructured data into actionable insights and enhancing clinical decision-making and workflow efficiency in healthcare.
By Application: Neurology segment dominated the market share
In 2023, the neurology segment dominated the market, driven by AI’s ability to improve patient care, accuracy, and efficiency. AI plays a crucial role in detecting neurological conditions, including brain tumors, which are often misdiagnosed due to symptom misinterpretation or report inaccuracies. By offering high accuracy and consistency, AI enhances diagnosis and detection, fueling segment growth.
By Modalities: The CT scan segment has the largest market share for AI in medical imaging market.
The global AI in medical imaging market includes segments like CT, X-rays, MRI, X-rays, Nuclear Imaging and ultrasound. CT led the market in 2022, while X-ray is the fastest-growing from 2023 to 2030. AI in CT reduces radiation doses, and AI in X-ray helps ease radiologists' workload globally.
By End User: Hospitals held the largest market share in 2023
Hospitals led the market in 2023 with the largest share and are projected to grow fastest. A 2020 survey found one-third of hospitals and imaging centers use AI/ML/deep learning for patient care imaging. The availability of cutting-edge equipment in hospitals with strong infrastructure drives this growth.
Market Competitive Landscape
The Global AI in Medical Imaging Market is highly consolidated. Some of the market players are Advanced Micro Devices, Inc. (AMD), Butterfly Network, Inc., Canon Medical Systems USA, Inc., Digital Diagnostics Inc., EchoNous, Inc., Enlitic, Inc., Exo Imaging, Inc., GE HealthCare, HeartFlow, Inc., Microsoft, Nano-X Imaging Ltd, TEMPUS, Viz.ai, Inc., Others.
Scope of the Report:
| Report Metric | Details |
| Market size available for years | 2020-2033 |
| Base year considered | 2023 |
| Forecast period | 2024-2033 |
| Segments covered | By Technology, By Application, By Modalities, By End Use. |
| Regions covered | North America, Asia-Pacific, Latin America, Middle East & Africa and Europe. |
| Companies Covered | Advanced Micro Devices, Inc. (AMD), Butterfly Network, Inc., Canon Medical Systems USA, Inc., Digital Diagnostics Inc., EchoNous, Inc., Enlitic, Inc., Exo Imaging, Inc., GE HealthCare, HeartFlow, Inc., Microsoft, Nano-X Imaging Ltd, TEMPUS, Viz.ai, Inc., Others. |
Key Topics Covered in the Report:
- Global AI in Medical Imaging Market Size (FY’2024-FY’2033)
- Overview of Global AI in Medical Imaging Market
- Segmentation of Global AI in Medical Imaging Market By Technology (Deep Learning, Natural Language Processing, Computer Vision, Others)
- Segmentation of Global AI in Medical Imaging Market By Application (Neurology, Respiratory and Pulmonary, Cardiology, Breast Screening, Orthopaedics, Others)
- Segmentation of Global AI in Medical Imaging Market By Modalities (CT Scan, MRI, X-rays, Ultrasound, Nuclear Imaging)
- Segmentation of Global AI in Medical Imaging Market By End Use (Hospitals, Diagnostic Imaging Centers, Others)
- Statistical Snap of Global AI in Medical Imaging Market
- Expansion Analysis of Global AI in Medical Imaging Market
- Problems and Obstacles in Global AI in Medical Imaging Market
- Competitive Landscape in the Global AI in Medical Imaging Market
- Impact of COVID-19 and Demonetization on Global AI in Medical Imaging Market
- Details on Current Investment in Global AI in Medical Imaging Market
- Competitive Analysis of Global AI in Medical Imaging Market
- Prominent Players in the Global AI in Medical Imaging Market
- SWOT Analysis of Global AI in Medical Imaging Market
- Global AI in Medical Imaging Market Future Outlook and Projections (FY’2024-FY’2033)
- Recommendations from Analyst
1. Introduction
1.1. Scope of the report1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data2.1.2. Primary Data2.1.3. SPERs internal database2.1.4. Premium insight from KOLs
2.2. Market size estimation
2.2.1. Top-down and Bottom-up approach
2.3. Data triangulation
3. Executive Summary
4. Market Dynamics
4.1. Driver, Restraint, Opportunity and Challenges analysis
4.1.1. Drivers4.1.2. Restraints4.1.3. Opportunities4.1.4. Challenges
4.2. COVID-19 Impacts of the Global AI in Medical Imaging Market.
5. Market variable and outlook
5.1. SWOT Analysis
5.1.1. Strengths5.1.2. Weaknesses5.1.3. Opportunities5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape5.2.2. Economic Landscape5.2.3. Social Landscape5.2.4. Technological Landscape5.2.5. Environmental Landscape5.2.6. Legal Landscape
5.3. PORTERs Five Forces
5.3.1. Bargaining power of suppliers5.3.2. Bargaining power of buyers5.3.3. Threat of Substitute5.3.4. Threat of new entrant5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global AI in Medical Imaging Market Manufacturing Base Distribution, Sales Area, Product Type6.2. Mergers & Acquisitions, Partnerships, Product Launch, and Collaboration in Global AI in Medical Imaging Market
7. Global AI in Medical Imaging Market, By Technology (USD Million) 2024-2030
7.1. Deep Learning7.2. Natural Language Processing (NLP)7.3. Computer Vision7.4. Others
8. Global AI in Medical Imaging Market, By Application (USD Million) 2024-2030
8.1. Neurology8.2. Respiratory and Pulmonary8.3. Cardiology8.4. Breast Screening8.5. Orthopaedics8.6. Others
9. Global AI in Medical Imaging Market, By Modalities (USD Million) 2024-2030
9.1. CT scan9.2. MRI9.3. X-rays9.4. Ultrasound9.5. Nuclear Imaging
10. Global AI in Medical Imaging Market, By End Use (USD Million) 2024-2030
10.1. Hospitals10.2. Diagnostic Imaging Centers10.3. Others
11. Global AI in Medical Imaging Market Forecast, 2024-2030 (USD Million)
11.1. Global AI in Medical Imaging Market Size and Market Share
12. Global AI in Medical Imaging Market, By Region, 2024-2030 (USD Million)
12.1. Asia-Pacific
12.1.1. Australia12.1.2. China12.1.3. India12.1.4. Japan12.1.5. South Korea12.1.6. Rest of Asia-Pacific
12.2. Europe
12.2.1. France12.2.2. Germany12.2.3. Italy12.2.4. Spain12.2.5. United Kingdom12.2.6. Rest of Europe
12.3. Middle East and Africa
12.3.1. Kingdom of Saudi Arabia12.3.2. United Arab Emirates12.3.3. Qatar12.3.4. South Africa12.3.5. Egypt12.3.6. Morocco12.3.7. Nigeria12.3.8. Rest of Middle-East and Africa
12.4. North America
12.4.1. Canada12.4.2. Mexico12.4.3. United States
12.5. Latin America
12.5.1. Argentina12.5.2. Brazil12.5.3. Rest of Latin America
13. Company Profile
13.1. Advanced Micro Devices, Inc. (AMD)
13.1.1. Company details13.1.2. Financial outlook13.1.3. Product summary13.1.4. Recent developments
13.2. Butterfly Network, Inc.
13.2.1. Company details13.2.2. Financial outlook13.2.3. Product summary13.2.4. Recent developments
13.3. Canon Medical Systems USA, Inc.
13.3.1. Company details13.3.2. Financial outlook13.3.3. Product summary13.3.4. Recent developments
13.4. Digital Diagnostics Inc.
13.4.1. Company details13.4.2. Financial outlook13.4.3. Product summary13.4.4. Recent developments
13.5. EchoNous, Inc.
13.5.1. Company details13.5.2. Financial outlook13.5.3. Product summary13.5.4. Recent developments
13.6. Enlitic, Inc.
13.6.1. Company details13.6.2. Financial outlook13.6.3. Product summary13.6.4. Recent developments
13.7. Exo Imaging, Inc.
13.7.1. Company details13.7.2. Financial outlook13.7.3. Product summary13.7.4. Recent developments
13.8. GE HealthCare
13.8.1. Company details13.8.2. Financial outlook13.8.3. Product summary13.8.4. Recent developments
13.9. HeartFlow, Inc.
13.9.1. Company details13.9.2. Financial outlook13.9.3. Product summary13.9.4. Recent developments
13.10. Microsoft
13.10.1. Company details13.10.2. Financial outlook13.10.3. Product summary13.10.4. Recent developments
13.11. Nano-X Imaging Ltd
13.11.1. Company details13.11.2. Financial outlook13.11.3. Product summary13.11.4. Recent developments
13.12. TEMPUS
13.12.1. Company details13.12.2. Financial outlook13.12.3. Product summary13.12.4. Recent developments
13.13. Viz.ai, Inc.
13.13.1. Company details13.13.2. Financial outlook13.13.3. Product summary13.13.4. Recent developments
13.14. Others
14. Conclusion
15. List of Abbreviations
16. Reference Links
SPER Market Research’s methodology uses great emphasis on primary research to ensure that the market intelligence insights are up to date, reliable and accurate. Primary interviews are done with players involved in each phase of a supply chain to analyze the market forecasting. The secondary research method is used to help you fully understand how the future markets and the spending patterns look likes.
The report is based on in-depth qualitative and quantitative analysis of the Product Market. The quantitative analysis involves the application of various projection and sampling techniques. The qualitative analysis involves primary interviews, surveys, and vendor briefings. The data gathered as a result of these processes are validated through experts opinion. Our research methodology entails an ideal mixture of primary and secondary initiatives.
Frequently Asked Questions About This Report
AI in Medical Imaging Market is projected to reach USD 20.84 billion by 2033, growing at a CAGR of 34.9% during the forecast period.
AI in Medical Imaging Market grew in Market size from 2024. The Market is expected to reach USD 20.84 billion by 2033, at a CAGR of 34.9% during the forecast period.
AI in Medical Imaging Market CAGR of 34.9% during the forecast period.
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AI in Medical Imaging Market size is USD 20.84 billion from 2024 to 2033.
AI in Medical Imaging Market is covered By Technology, By Application, By Modalities, By End Use.
The North America is anticipated to have the highest Market share in the AI in Medical Imaging Market.
The key players in the Market include Companies Covered Advanced Micro Devices, Inc. (AMD), Butterfly Network, Inc., Canon Medical Systems USA, Inc., Digital Diagnostics Inc., EchoNous, Inc., Enlitic, Inc., Exo Imaging, Inc., GE HealthCare, HeartFlow, Inc., Microsoft, Nano-X Imaging Ltd, TEMPUS, Viz.ai, Inc., Others.
The AI in medical imaging market is booming due to factors like the surge in large datasets, the need to reduce radiologist workload, increased investment in AI startups, government support, and industry collaborations. A key driver is AI's growing role in radiology, enabling faster and more accurate image analysis, leading to improved diagnoses and streamlined procedures.
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