AI in Medical Imaging Market Share, Size, Trends, Industry Analysis Report, By Technology (Deep Learning, NLP), By Application (Neurology, Respiratory & Pulmonary, Cardiology), By Modality, By End-use, By Region, And Segment Forecasts, 2024- 2032

AI in Medical Imaging Market Share, Size, Trends, Industry Analysis Report, By Technology (Deep Learning, NLP), By Application (Neurology, Respiratory & Pulmonary, Cardiology), By Modality, By End-use, By Region, And Segment Forecasts, 2024- 2032

The global AI in medical imaging market size is expected to reach USD 16,175.52 million by 2032, according to a new study by Polaris Market Research. The report “AI in Medical Imaging Market Share, Size, Trends, Industry Analysis Report, By Technology (Deep Learning, NLP), By Application (Neurology, Respiratory & Pulmonary, Cardiology), By Modality, By End-use, By Region, And Segment Forecasts, 2024- 2032” gives a detailed insight into current market dynamics and provides analysis on future market growth.

AI in the medical imaging market has experienced remarkable growth in recent years, revolutionizing the field of healthcare by enhancing diagnostic accuracy, efficiency, and patient outcomes. Leveraging artificial intelligence (AI) algorithms, medical imaging technologies such as MRI, CT scans, X-rays, and ultrasound are undergoing a transformative shift. This integration of AI into medical imaging processes offers healthcare professionals advanced tools for image analysis, interpretation, and decision-making, leading to more precise diagnoses and personalized treatment plans.

Several driving factors contribute to the rapid expansion of AI in the medical imaging market. Firstly, the growing burden of chronic diseases and the increasing demand for early detection and accurate diagnosis drive the adoption of AI-powered imaging solutions. AI algorithms can analyze vast amounts of medical images swiftly, assisting radiologists and clinicians in detecting abnormalities and diseases at their earliest stages. Additionally, the rising prevalence of conditions such as cancer, cardiovascular diseases, and neurological disorders fuels the need for advanced imaging technologies that can improve diagnostic accuracy and patient outcomes.

Furthermore, the advancements in machine learning algorithms and deep learning techniques significantly contribute to the market's growth. AI models trained on large datasets can learn complex patterns and features from medical images, enabling them to detect subtle abnormalities that human observers may overlook. Moreover, the integration of AI into medical imaging systems enhances workflow efficiency by automating repetitive tasks, reducing interpretation time, and improving productivity in healthcare settings. This increased efficiency allows healthcare professionals to focus more on patient care and clinical decision-making, leading to improved overall healthcare delivery.

The AI in the medical imaging market is also propelled by supportive government initiatives and investments aimed at fostering innovation in healthcare technologies. Government agencies and regulatory bodies are increasingly recognizing the potential of AI to transform healthcare delivery and are implementing policies to promote the adoption of AI-powered imaging solutions. Additionally, collaborations between healthcare institutions, research organizations, and technology companies drive research and development efforts in AI-enabled medical imaging, further accelerating market growth. As AI continues to advance and integrate into medical imaging practices, the market is poised for continued expansion, offering significant opportunities for improved patient care and healthcare efficiency.

AI in Medical Imaging Market Report Highlights

• Deep learning segment held the largest share in 2023, as it helps in image generation, and object detection
• Breast screening segment will grow rapidly during the forecast period, owing to rise in breast screening, and improved outcome rate
• APAC will grow rapidly over the anticipated period, primarily due to presence of huge patient base and improving healthcare infrastructure
• The global players include Siemens Healthineers, GE Healthcare, IBM Watson Health, Philips Healthcare, Zebra Medical Vision, Samsung Electronics, & Medtronic Plc

Polaris Market Research has segmented the AI in medical imaging market report based on technology, application, modality, end use, and region:

AI in Medical Imaging, Technology Outlook (Revenue - USD Million, 2019 - 2032)

• Deep Learning
• Natural Language Processing (NLP)
• Others

AI in Medical Imaging, Application Outlook (Revenue - USD Million, 2019 - 2032)

• Neurology
• Respiratory and Pulmonary
• Cardiology
• Breast Screening
• Orthopedics
• Others

AI in Medical Imaging, Modality Outlook (Revenue - USD Million, 2019 - 2032)

• CT scan
• MRI
• X-rays
• Ultrasound
• Nuclear Imaging

AI in Medical Imaging, End Use Outlook (Revenue - USD Million, 2019 - 2032)

• Hospitals
• Diagnostic Imaging Centers
• Others

AI in Medical Imaging, Regional Outlook (Revenue - USD Million, 2019 - 2032)

• North America

- U.S.

- Canada

• Europe

- Germany

- UK

- France

- Italy

- Spain

- Russia

- Netherlands

• Asia Pacific

- China

- India

- Japan

- South Korea

- Indonesia

- Malaysia

• Latin America

- Argentina

- Brazil

- Mexico

• Middle East & Africa

- UAE

- Saudi Arabia

- Israel

- South Africa