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 report
1.2. Market segment analysis
2. Research Methodology
2.1. Research data source
2.1.1. Secondary Data
2.1.2. Primary Data
2.1.3. SPERs internal database
2.1.4. 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. Drivers
4.1.2. Restraints
4.1.3. Opportunities
4.1.4. 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. Strengths
5.1.2. Weaknesses
5.1.3. Opportunities
5.1.4. Threats
5.2. PESTEL Analysis
5.2.1. Political Landscape
5.2.2. Economic Landscape
5.2.3. Social Landscape
5.2.4. Technological Landscape
5.2.5. Environmental Landscape
5.2.6. Legal Landscape
5.3. PORTERs Five Forces
5.3.1. Bargaining power of suppliers
5.3.2. Bargaining power of buyers
5.3.3. Threat of Substitute
5.3.4. Threat of new entrant
5.3.5. Competitive rivalry
5.4. Heat Map Analysis
6. Competitive Landscape
6.1. Global AI in Medical Imaging Market Manufacturing Base Distribution, Sales Area, Product Type
6.2. 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 Learning
7.2. Natural Language Processing (NLP)
7.3. Computer Vision
7.4. Others
8. Global AI in Medical Imaging Market, By Application (USD Million) 2024-2030
8.1. Neurology
8.2. Respiratory and Pulmonary
8.3. Cardiology
8.4. Breast Screening
8.5. Orthopaedics
8.6. Others
9. Global AI in Medical Imaging Market, By Modalities (USD Million) 2024-2030
9.1. CT scan
9.2. MRI
9.3. X-rays
9.4. Ultrasound
9.5. Nuclear Imaging
10. Global AI in Medical Imaging Market, By End Use (USD Million) 2024-2030
10.1. Hospitals
10.2. Diagnostic Imaging Centers
10.3. 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. Australia
12.1.2. China
12.1.3. India
12.1.4. Japan
12.1.5. South Korea
12.1.6. Rest of Asia-Pacific
12.2. Europe
12.2.1. France
12.2.2. Germany
12.2.3. Italy
12.2.4. Spain
12.2.5. United Kingdom
12.2.6. Rest of Europe
12.3. Middle East and Africa
12.3.1. Kingdom of Saudi Arabia
12.3.2. United Arab Emirates
12.3.3. Qatar
12.3.4. South Africa
12.3.5. Egypt
12.3.6. Morocco
12.3.7. Nigeria
12.3.8. Rest of Middle-East and Africa
12.4. North America
12.4.1. Canada
12.4.2. Mexico
12.4.3. United States
12.5. Latin America
12.5.1. Argentina
12.5.2. Brazil
12.5.3. Rest of Latin America
13. Company Profile
13.1. Advanced Micro Devices, Inc. (AMD)
13.1.1. Company details
13.1.2. Financial outlook
13.1.3. Product summary
13.1.4. Recent developments
13.2. Butterfly Network, Inc.
13.2.1. Company details
13.2.2. Financial outlook
13.2.3. Product summary
13.2.4. Recent developments
13.3. Canon Medical Systems USA, Inc.
13.3.1. Company details
13.3.2. Financial outlook
13.3.3. Product summary
13.3.4. Recent developments
13.4. Digital Diagnostics Inc.
13.4.1. Company details
13.4.2. Financial outlook
13.4.3. Product summary
13.4.4. Recent developments
13.5. EchoNous, Inc.
13.5.1. Company details
13.5.2. Financial outlook
13.5.3. Product summary
13.5.4. Recent developments
13.6. Enlitic, Inc.
13.6.1. Company details
13.6.2. Financial outlook
13.6.3. Product summary
13.6.4. Recent developments
13.7. Exo Imaging, Inc.
13.7.1. Company details
13.7.2. Financial outlook
13.7.3. Product summary
13.7.4. Recent developments
13.8. GE HealthCare
13.8.1. Company details
13.8.2. Financial outlook
13.8.3. Product summary
13.8.4. Recent developments
13.9. HeartFlow, Inc.
13.9.1. Company details
13.9.2. Financial outlook
13.9.3. Product summary
13.9.4. Recent developments
13.10. Microsoft
13.10.1. Company details
13.10.2. Financial outlook
13.10.3. Product summary
13.10.4. Recent developments
13.11. Nano-X Imaging Ltd
13.11.1. Company details
13.11.2. Financial outlook
13.11.3. Product summary
13.11.4. Recent developments
13.12. TEMPUS
13.12.1. Company details
13.12.2. Financial outlook
13.12.3. Product summary
13.12.4. Recent developments
13.13. Viz.ai, Inc.
13.13.1. Company details
13.13.2. Financial outlook
13.13.3. Product summary
13.13.4. Recent developments
13.14. Others
14. Conclusion
15. List of Abbreviations
16. Reference Links