AI in Radiology Market Research Report By Modality (X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound Imaging, Molecular Imaging, Others), By Application (Breast Imaging, Lung Imaging, Neurology, Cardiovascular Applications, Liver Imaging, Other Applications), By End-user (Hospitals, Clinics, Diagnostic Centers, Other End Users) and By Regional (North America, Europe, South America, Asia Pacific, Middle East and Africa) - Forecast to 2035

AI in Radiology Market Summary

As per MRFR Analysis, the AI in Radiology Market was valued at 1.84 USD Billion in 2023 and is projected to grow to 15.7 USD Billion by 2035, reflecting a CAGR of 19.56% from 2025 to 2035. The market is driven by the increasing demand for precise diagnostic tools, the rising prevalence of chronic diseases, and significant investments in healthcare IT infrastructure. AI technologies are enhancing diagnostic accuracy and operational efficiency in radiology, with a notable shift towards cloud-based solutions facilitating global collaboration among healthcare professionals.

Key Market Trends & Highlights

The AI in Radiology Market is experiencing transformative growth driven by technological advancements and increasing healthcare demands.

• Market Size in 2024: 2.2 USD Billion; Expected to reach 15.7 USD Billion by 2035.
• Machine Learning segment projected to grow from 0.8 USD Billion in 2024 to 5.6 USD Billion by 2035.
• Rising prevalence of chronic diseases, accounting for approximately 31% of all fatalities globally.
• North America expected to dominate the market with a valuation of 0.9 USD Billion in 2024.

Market Size & Forecast

2023 Market Size: USD 1.84 Billion

2024 Market Size: USD 2.2 Billion

2035 Market Size: USD 15.7 Billion

CAGR (2025-2035): 19.56%

Largest Regional Market Share in 2024: North America

Major Players

IBM, Xray.ai, Fujifilm, Arterys, Qure.ai, Philips, Imbio, Aidoc, Lunit, Koios Medical, Zebra Medical Vision, DeepMind, RadNet, Siemens Healthineers, General Electric

Key AI in Radiology Market Trends Highlighted

The AI in Radiology Market is making great strides due to the use of AI in medical imaging. One of the main reasons for the growth of the market is the growing need for early and accurate illness identification, which makes radiology more important for patient outcomes. AI technology makes it easier to understand images, which lowers the number of diagnostic mistakes and helps radiologists handle bigger workloads more successfully. The rise in investments by digital businesses and healthcare organisations to create AI-driven solutions also helps the industry flourish. There have been many chances to develop specialised AI algorithms for illnesses like cancer and neurological problems in the last few years.

Telemedicine is becoming more popular, which opens up new possibilities for AI in radiology by allowing for remote consultations and tests. Collaborations between digital businesses and healthcare practitioners are also becoming more widespread. These collaborations encourage new ideas and speed up the use of AI technologies in clinical settings. Working together makes AI applications bigger and better, making sure that the technology fulfils clinical demands. There is also a tendency towards greater rules and support from regulators for the use of AI in healthcare. This will make it easier for AI software and apps to be approved. This government support not only gives healthcare practitioners more confidence, but it also makes it easier for AI technology to be used in radiology more quickly.

As deep learning and machine learning methods improve, the options for improving the accuracy of diagnoses and the quality of patient treatment are growing. This makes this market a worldwide centre for health technology innovation.

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

AI in Radiology Market Drivers

Rising Prevalence of Chronic Diseases

The AI in Radiology Market Industry is significantly driven by the increasing prevalence of chronic diseases, with various global health organizations reporting an alarming rise in conditions such as cancer, cardiovascular diseases, and other health issues. For instance, the World Health Organization has projected that global cancer cases are expected to rise to approximately 29.5 million by 2040, indicating a significant increase from 19.3 million in 2020.

This rise in chronic disease cases necessitates more advanced diagnostic tools, amplifying the demand for artificial intelligence technologies in radiology. Organizations like the American Cancer Society have been instrumental in raising awareness and funding for cancer research, further driving the implementation of AI technologies in medical imaging to optimize diagnosis and treatment pathways. In this context, AI tools are being developed and implemented to enhance the efficiency and accuracy of radiological assessments, catering to the increasing number of patients requiring ongoing radiological evaluations.

Technological Advancements in AI

Technological advancements in artificial intelligence have played a pivotal role in driving the AI in Radiology Market Industry. Innovations in machine learning algorithms and deep learning techniques are revolutionizing how medical imaging data is processed and analyzed. The integration of AI with Radiology is not only improving diagnostic accuracy but also expediting the entire imaging process. According to a report by the National Institutes of Health, machine learning algorithms can interpret radiological images with an accuracy rate of up to 94%, significantly higher than traditional methods.

Major tech companies like Google and IBM are making substantial investments in Research and Development for AI in healthcare, demonstrating the industry's potential for growth. As a result, radiology departments are increasingly adopting AI solutions to harness these advancements for better patient care.

Cost Efficiency and Resource Optimization

The increasing need for cost efficiency and resource optimization within healthcare systems is another significant driver bolstering the AI in Radiology Market Industry. Hospitals and diagnostic centers are facing budget constraints and are under pressure to improve operational efficiency without compromising patient care. According to a study published by the Health Affairs journal, the adoption of AI in radiology can potentially reduce costs by over 20% through improved workflow efficiencies and reduced manpower requirements.

The implementation of AI technologies enables radiologists to manage their workloads better, allowing them to focus on more complex cases while AI handles routine analyses. Major healthcare institutions are recognizing this potential, leading to accelerated adoption of AI solutions in radiology to drive down costs while enhancing service delivery.

Regulatory Support and Investment in Healthcare Technology

The AI in Radiology Market Industry is experiencing growth driven by increased regulatory support and investment in healthcare technology. Governments across the globe are acknowledging the vital role of AI in healthcare and providing financial backing through grants and programs that encourage innovation. For example, the Food and Drug Administration in the United States has established a streamlined process for reviewing AI-based software applications for medical imaging, leading to quicker approvals and wider deployment in medical facilities.

According to the European Commission, investments in health technology, including AI, are set to receive a significant boost under the Digital Europe Programme, with an allocated budget to enhance digital solutions in healthcare. This regulatory support not only fosters confidence in AI deployments among healthcare professionals but also encourages further Research and Development initiatives, propelling growth in the AI in Radiology Market Industry.

AI in Radiology Market Segment Insights

AI in Radiology Market Modality Insights

The AI in Radiology Market is experiencing substantial growth, primarily driven by diverse modalities that enhance diagnostic accuracy and operational efficiency. In 2024, the market is projected to emerge strongly with a valuation of 2.2 USD Billion, reflecting the increasing adoption of AI technologies across various imaging modalities. By 2035, this figure is expected to grow significantly, reaching 15.7 USD Billion, indicating a robust demand for AI-driven solutions in radiology. The segmentation within this market reveals various modalities such as X-ray, Computed Tomography (CT), Magnetic Resonance Imaging (MRI), Ultrasound Imaging, and Molecular Imaging, each contributing uniquely to the market landscape.

The X-ray segment is valued at 0.5 USD Billion in 2024 and is anticipated to grow to 3.6 USD Billion by 2035, showcasing its majority holding and significance. The integration of AI in X-ray imaging aids in swift detection of abnormalities, thus streamlining workflows and reducing diagnostic errors. Similarly, the Computed Tomography (CT) segment holds a valuation of 0.7 USD Billion in 2024 and is expected to reach 5.2 USD Billion by 2035. CT imaging plays a vital role in areas such as oncology and emergency medicine, where timely and accurate imaging results are paramount.

In terms of market dynamics, the Magnetic Resonance Imaging (MRI) segment is projected to be valued at 0.6 USD Billion in 2024, with an anticipated rise to 4.4 USD Billion by 2035. AI's capabilities in MRI enhance anatomy visualization and image processing, offering physicians insights that are crucial for diagnosing complex conditions. Ultrasound Imaging, with a valuation of 0.3 USD Billion in 2024, is also on track to expand to 2.8 USD Billion by 2035 as AI improves imaging quality and reliability, particularly in obstetrics and cardiology, where monitoring is essential. Additionally, the Molecular Imaging segment, though smaller at 0.1 USD Billion in 2024, is expected to rise to 0.7 USD Billion by 2035. This highlights the growing importance of AI in facilitating real-time imaging at the molecular level, which can potentially transform the understanding of diseases at their roots.

Exploring the ongoing trends in the AI in Radiology Market data reveals that advancements in AI technology are promoting efficiency, accuracy, and speed across these modalities, making them more significant in real-world scenarios. The increasing burden of chronic diseases and the subsequent demand for precise diagnostic imaging create opportunities for growth, supporting the expansion of these segments. Overall, the segmentation of the AI in Radiology Market illustrates the pivotal role that these imaging modalities play in healthcare, driving innovations and improvements in patient outcomes. The combination of emerging AI technologies with these modalities is not only expanding market statistics but also revolutionizing the entire radiology industry, marking a notable shift towards automated, smarter solutions in diagnostics.

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

AI in Radiology Market Application Insights

The AI in Radiology Market is experiencing significant growth, projected to reach a total market value of 2.2 USD Billion by 2024. The Applications segment plays a crucial role in this market, as it encompasses various critical areas including Breast Imaging, Lung Imaging, Neurology, Cardiovascular Applications, Liver Imaging, and Other Applications. Each of these areas leverages AI technologies to enhance diagnostic accuracy and efficiency. Breast Imaging, for example, has gained prominence due to the rising incidence of breast cancer and the focus on early detection, while Lung Imaging is increasingly significant in the context of respiratory diseases and conditions like COVID-19.

Neurology applications utilize AI to assist in identifying complex neurological issues, enabling quicker and more accurate diagnoses. Cardiovascular Applications are vital as heart diseases remain a leading cause of death globally, showcasing the importance of precise imaging technologies. Liver Imaging benefits from AI advancements that support liver disease assessment and management. The increasing demand for diagnostic imaging driven by aging populations and escalating chronic diseases contribute to the overall growth of the Applications segment within the AI in Radiology Market.

As the industry evolves, these areas are expected to continue playing significant roles, offering numerous opportunities for innovation and improvement in patient outcomes.

AI in Radiology Market End-user Insights

The AI in Radiology Market is projected to experience significant growth, driven by the increasing demand for efficient diagnostic tools across various end-user segments. As of 2024, the market is expected to be valued at 2.2 billion USD, with hospitals, clinics, and diagnostic centers emerging as key players utilizing advanced AI technologies to enhance patient outcomes. Hospitals dominate the landscape, leveraging AI for quick diagnostics and improved workflow efficiency which is crucial in high-pressure environments. Clinics are increasingly adopting AI solutions to streamline operations and improve the quality of care, enhancing patient engagement and satisfaction.

Diagnostic centers benefit from AI's ability to analyze vast amounts of data quickly, improving accuracy in patient assessments and diagnoses, which is essential in today’s healthcare. Other end users are also investing in AI technologies to stay competitive, reflecting a broader trend toward digitization in healthcare. The overall increasing prevalence of chronic diseases, along with a push for personalized medicine, will further propel the expansion of the AI in Radiology Market, as healthcare providers seek innovative solutions to improve service delivery.

AI in Radiology Market Regional Insights

The AI in Radiology Market exhibits substantial regional segmentation, with North America leading the way. In 2024, this region is valued at 0.825 USD Billion and is projected to grow to 6.15 USD Billion by 2035, showcasing significant market growth. Europe follows with a starting value of 0.55 USD Billion in 2024 and an expected increase to 3.979 USD Billion by 2035, indicating a strong emphasis on technological advancement in healthcare. The Asia Pacific region, valued at 0.412 USD Billion in 2024, is forecasted to reach 3.256 USD Billion by 2035, driven by increasing investments in healthcare infrastructure and technology, reflecting a growing demand for AI applications.

South America and the Middle East and Africa hold smaller but notable positions, with values of 0.206 USD Billion and 0.206 USD Billion in 2024, respectively; both are expected to reach 1.085 USD Billion and 1.23 USD Billion by 2035. The disparity in market sizes across regions highlights North America's majority holding and its well-established healthcare framework, while Asia Pacific's growth reflects its rapidly modernizing healthcare systems. The increasing adoption of AI technologies in radiology offers opportunities across all regions, aimed at improving diagnostics and operational efficiencies.

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

AI in Radiology Market Key Players and Competitive Insights

The AI in Radiology Market is experiencing rapid growth, driven by advancements in machine learning, deep learning, and data analytics. As healthcare continues to evolve, the integration of artificial intelligence into radiology practices presents significant opportunities for improving diagnostic accuracy, streamlining workflows, and enhancing patient outcomes. Competition within this market is fierce, with various players striving to develop innovative solutions that address the challenges faced by radiologists. Companies are leveraging cutting-edge technologies to offer automated image analysis, predictive modeling, and decision support systems, leading to an increasingly dynamic and competitive landscape. Market participants are focusing on strategic partnerships, research and development efforts, and regulatory compliance to gain an edge in this burgeoning field while addressing the need for high-quality imaging and efficient processes.

Pixel Health has made a notable mark in the AI in Radiology Market through its focused approach on improving radiological workflows and enhancing diagnostic precision. The company's strengths lie in its user-friendly platforms that integrate seamlessly into existing radiology infrastructures, facilitating faster and more accurate interpretations of medical images. Pixel Health has positioned itself effectively in the market by offering solutions that not only reduce the workload for radiologists but also enhance the decision-making process. Their commitment to ongoing innovation and adaptability to emerging technologies further strengthens their market presence. By prioritizing customer feedback and engaging in continuous development, Pixel Health is monitoring market trends to ensure its offerings remain relevant and impactful in the rapidly evolving landscape of AI in radiology.

Key Companies in the AI in Radiology Market Include

• Fujifilm


• ai


• Vuno


• IBM


• GE Healthcare


• Siemens Healthineers


• Aidoc


• RadNet


• Philips


• MediView XR


• Zebra Medical Vision

AI in Radiology Market Industry Developments

The AI in Radiology Market has seen significant advancements recently, with companies like Qure.ai and Zebra Medical Vision expanding their offerings to enhance diagnostic accuracy and efficiency. Mergers and acquisitions have also played a pivotal role; for instance, GE Healthcare acquired a stake in a promising AI startup to strengthen its radiology solutions in March 2023, showcasing the growing importance of AI in medical imaging. Siemens Healthineers launched an innovative AI-driven imaging system aimed at improving patient outcomes and streamlining workflows in January 2023.

Furthermore, the collaboration between IBM and Fujifilm on AI technologies emphasizes the integration of advanced analytics in radiology, which is projected to boost market growth. In the last two years, the increasing emphasis on real-time data analytics and the rise of cloud-based solutions have fostered a more competitive landscape, with companies like Aidoc and MediView XR gaining substantial traction. The surge in investment and technological innovation highlights the importance of AI in enhancing diagnostic capabilities and patient care worldwide, marking the AI in Radiology Market as a rapidly evolving sector with vast potential for growth and improvement.

AI in Radiology Market Segmentation Insights

AI in Radiology Market Modality Outlook

• X-ray


• Computed Tomography (CT)


• Magnetic Resonance Imaging (MRI)


• Ultrasound Imaging


• Molecular Imaging


• Others

AI in Radiology Market Application Outlook

• Breast Imaging


• Lung Imaging


• Neurology


• Cardiovascular Applications


• Liver Imaging


• Other Applications

AI in Radiology Market End-user Outlook

• Hospitals


• Clinics


• Diagnostic Centers


• Other End Users

AI in Radiology Market Regional Outlook

• North America


• Europe


• South America


• Asia Pacific


• Middle East and Africa

Report Attribute/Metric	Details
Market Size 2023	1.84(USD Billion)
Market Size 2024	2.2(USD Billion)
Market Size 2035	15.7(USD Billion)
Compound Annual Growth Rate (CAGR)	19.56% (2025 - 2035)
Report Coverage	Revenue Forecast, Competitive Landscape, Growth Factors, and Trends
Base Year	2024
Market Forecast Period	2025 - 2035
Historical Data	2019 - 2024
Market Forecast Units	USD Billion
Key Companies Profiled	Fujifilm, Qure.ai, Vuno, IBM, GE Healthcare, Siemens Healthineers, Aidoc, RadNet, Philips, MediView XR, Zebra Medical Vision,
Segments Covered	Modality, Application, End-user, Regional
Key Market Opportunities	Increased diagnostic accuracy, Rising demand for telemedicine, Expansion in emerging markets, Integration with existing systems, Enhanced patient data management
Key Market Dynamics	Technological advancements in AI, Rising demand for diagnostic imaging, Increasing prevalence of chronic diseases, Growing investments in healthcare AI, Expanding applications of machine learning
Countries Covered	North America, Europe, APAC, South America, MEA