AI-assisted Radiology Market Research Report Information by Technique (X-rays, Magnetic Resonance Imaging, Computed Tomography, Positron Emission Tomography (PET), and Others), by Application (Neurology, Mammography (Breast Cancer), Cardiovascular, Respiratory and Pulmonary, Orthopedics, and Others), by End User (Hospitals, Diagnostic Imaging Centers, and Others), and by Region (North America, Europe, Asia-Pacific, and Rest of the World - Forecast till 2032

Global AI-assisted Radiology Overview

AI-assisted Radiology Market size was valued at USD 1.57 billion in 2023. The AI-assisted Radiology Market industry is projected to grow from USD 2.03 billion in 2024 to USD 27.18 billion by 2032, exhibiting a compound annual growth rate (CAGR) of 32.96% during the forecast period (2024 - 2032).

The rising number of AI-powered medical imaging start- ups and growing strategic initiatives by market players are the major factors driving the growth of the AI-assisted Radiology Market. However, high cost and resource constraints are expected to hamper the growth of the global market. Nevertheless, increasing funding & investment for ai in medical imaging across the globe is anticipated to create lucrative opportunities for the market.

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

AI-assisted Radiology Trends

• Rising number of AI-powered medical imaging start- ups fuels market growth

The current era is the driving factor behind AI in the medical imaging industry. This is due to the fact that the software helps clinicians diagnose ailments much faster and intervene early. Furthermore, rising AI-powered start-ups are stressing incorporating advanced features into AI medical imaging products. There are numerous AI-powered start-ups from across the globe, including Viz.ai, Inc. (Israel), Aidoc (Israel), Lunit Inc. (South Korea), Suzhou Voxel Information Technology Co., Ltd. (China), and Arterys (US), which are bringing innovative solutions to meet the demand of physicians. Moreover, these start-ups are forming strategies in order to meet the healthcare provider’s demand. For example, in January 2023, Viz.ai, Inc. (Israel) released VizTM Vascular Suite, AI-powered software that allows vascular care teams to automatically detect and prioritize care for suspected pulmonary embolism, right heart strain, aortic dissection, and abdominal aortic aneurysm (AAA). Viz Vascular Suite employs artificial intelligence to automatically analyze a variety of imaging modalities, including computerized tomography (CT), electrocardiograms (ECG), and others, to detect vascular diseases.

Hence, an increasing number of AI-powered medical imaging start-ups are being formed to address various challenges, provide better outcomes, and assist healthcare providers in understanding of diseases, fuelling the market's growth.

AI-assisted Radiology Segment Insights

AI-assisted Radiology Technique Insights

The AI-assisted Radiology Market segmentation, based on technique, includes X-rays, magnetic resonance imaging, computed tomography, positron emission tomography (PET), and others. The computed tomography segment dominated the market in 2023, while the magnetic resonance imaging segment is projected to be the fastest-growing segment during the forecast period, 2024–2032. CT provides highly detailed images of internal structures, allowing healthcare professionals to visualize soft tissues, bones, blood vessels, and organs with great clarity.

AI-assisted Radiology Application Insights

The AI-assisted Radiology Market segmentation, based on application, includes neurology, mammography (breast cancer), cardiovascular, respiratory and pulmonary, orthopedics, and others. The neurology segment dominated the market in 2023, while the cardiovascular segment is projected to be the fastest-growing segment during the forecast period, 2024–2032. AI algorithms can assist radiologists in detecting and diagnosing neurological conditions more accurately and efficiently. Furthermore, AI algorithms can help in the early detection of neurological disorders such as tumors, aneurysms, or strokes, enabling timely intervention and potentially better outcomes for patients.

Figure 2: AI-assisted Radiology Market, by Application, 2023 & 2032 (USD Billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

AI-assisted Radiology End User Insights

The AI-assisted Radiology Market segmentation, based on end user, includes hospitals, diagnostic imaging centers, and others. The hospitals segment dominated the market in 2023, while the diagnostic imaging centers segment is projected to be the fastest-growing segment during the forecast period, 2024–2032. AI-powered telemedicine platforms can facilitate remote consultations between radiologists and healthcare providers, enabling timely access to expert opinions and improving patient care in underserved areas. Moreover, AI can streamline radiology workflows by automating routine tasks such as image analysis, annotation, and report generation.

AI-assisted Radiology Regional Insights

By Region, the study segments the market into North America, Europe, Asia-Pacific, and Rest of the World. The North America AI-assisted Radiology market is experiencing significant growth, driven by factors. Advances in artificial intelligence (AI) and machine learning have transformed radiology by increasing diagnostic accuracy, streamlining operations, and improving patient outcomes. This technical advancement tackles issues such as increased demand for effective healthcare delivery in the face of rising chronic disease prevalence and a radiology shortage. Government initiatives, investments in AI research, and collaborations between healthcare providers and technology companies all contribute to industry expansion.

Further, the major countries will be study are US, Canada, Germany, France, UK, Italy, Spain, China, Japan, India, Australia, and South Korea.

Figure 3: AI-ASSISTED RADIOLOGY MARKET BY REGION 2023 & 2032 (USD Billion)

Source: Secondary Research, Primary Research, MRFR Database and Analyst Review

Europe AI-assisted Radiology market accounted for the second-largest market share due to well-established healthcare infrastructure, growing healthcare industry, drives the market. Furthermore, the Germany AI-assisted Radiology provider attributed to hold the largest market share, and the France AI-assisted Radiology providers is projected be the fastest growing market in the Europe region.

The Asia-Pacific AI-assisted Radiology market is expected to be the fastest growing from 2024 to 2032 due to rising investments in AI technology, expansion of online retail channels for healthcare products, increasing healthcare expenditure and government Initiatives and Investments. Moreover, China AI-assisted Radiology accounted to hold the largest market share, and the India AI-assisted Radiology is projected to be the fastest growing market in the Asia-Pacific region.

AI-assisted Radiology Key Market Players & Competitive Insights

The AI-assisted Radiology Market is distinguished by the presence of numerous global, regional, and local players catering to AI-assisted radiology. Furthermore, the rising number of ai-powered medical imaging start- ups and the growing strategic initiatives by market players is further driving the growth of AI-assisted Radiology Market during the forecast period. The major players have adopted a strategy of obtaining regulatory approval from government agencies for their products and signing contracts and agreements to broaden their reach.

Koninklijke Philips N.V. (Philips) is a multifaceted technology company that creates and produces consumer electronics and medical solutions. The corporation operates in more than 100 countries and has a robust global sales and distribution network. The medical devices, health systems, cardiology, health tech, cancer, skin diseases, respiratory, fertility, and pregnancy sectors are where Philips sells its products. It sells items for oral, pregnancy, and children's health as well as dermatology UV light therapy products for men's grooming and beauty, cooking and home care, and sleep and respiratory health. It delivers diagnostic X-rays, integrated clinical solutions, magnetic resonance imaging (MRI), computed tomography (CT), and sand molecular imaging solutions. Moreover, it also offers healthcare IT, clinical, and visualization & quantification informatics solutions for radiology, cardiology, and oncology; universal data management solutions, picture archiving and communication systems, and integrated electronic medical record systems; clinical & hospital IT platforms; and technology-enabled monitoring & intervention, actionable program, cloud-based, and population health management software solutions. The company has its operation in North America, Europe and Asia-Pacific.

Moreover, In March 2023, Koninklijke Philips N.V. launched the Philips CT 3500, a revolutionary high throughput computed tomography (CT) machine driven by artificial intelligence (AI). The Philips CT 3500 has a few capabilities for improving productivity and reconstructing images. The CT 3500, which is based on Philips' vMRC tube, uses proactive monitoring sensors from the outside as well as the inside to track key performance characteristics.

Key Companies in the AI-assisted Radiology market includes.

• Koninklijke Philips N.V. (Netherlands)


• Siemens Healthineers AG (Germany)


• ContextVision AB (Sweden)


• GE Healthcare (US)


• FUJIFILM Corporation (Japan)


• Agfa-Gevaert Group (Belgium)


• ClariPi Inc (South Korea)


• Lunit Inc (South Korea)


• Enlitic Inc. (US)


• NANO-X IMAGING LTD (Israel)

Global AI-assisted Radiology Industry Developments

• In April 2024, Agfa HealthCare launched SmartXR for X-ray Artificial Intelligence (AI).


• In March 2024, Lunit Expanded its AI Medical Imaging Solutions in the East and Southeast Asian Region. As a result of this expansion, Lunit will supply its Lunit INSIGHT CXR for chest abnormality detection and Lunit INSIGHT MMG for mammography analysis to the Chung Shan Medical University in Taiwan and Gleneagles Hospital in Singapore, respectively.


• In February 2024, NANO-X IMAGING LTD received FDA clearance for HealthFLD, an advanced AI-based software that enables clinicians to assess fatty liver. Nanox's HealthFLD has revolutionized the usage of a completely automated AI software for liver attenuation analysis from CT images, which has acquired FDA 510(k) clearance for use in the general population.

AI-assisted Radiology Segmentation

AI-assisted Radiology Technique Outlook

• X-Rays


• Magnetic Resonance Imaging


• Computed Tomography (CT)


• Positron Emission Tomography (PET)


• Others

AI-assisted Radiology Application Outlook

• Neurology


• Mammography (Breast Cancer)


• Cardiovascular


• Respiratory And Pulmonary


• Orthopedics


• Others

AI-assisted Radiology End User Outlook

• Hospitals


• Diagnostic Imaging Centers


• Others

AI-assisted Radiology Regional Outlook

• North America
  
  
  
  • US
  
  
  • Canada
  
  
  
  


• Europe
  
  
  
  • Germany
  
  
  • France
  
  
  • UK
  
  
  • Italy
  
  
  • Spain
  
  
  • Rest of Europe
  
  
  
  


• Asia-Pacific
  
  
  
  • China
  
  
  • Japan
  
  
  • India
  
  
  • South Korea
  
  
  • Australia
  
  
  • Rest of Asia-Pacific
  
  
  
  


• Rest of the World
  
  
  
  • Middle East
  
  
  • Africa
  
  
  • Latin America