AI in Medical Imaging Market Size, Share & Trends Analysis Report By Technology (Deep Learning, NLP), By Application (Neurology, Orthopedics), By End Use (Hospitals, Diagnostic Centers), By Modalities, By Region,- Industry Analysis, Share, Growth, Regional Outlook and Forecasts, 2024-2034

AI In Medical Imaging Market Size and Growth

The AI in medical imaging market size was exhibited at USD 1.55 billion in 2024 and is projected to hit around USD 30.94 billion by 2034, growing at a CAGR of 34.9% during the forecast period 2024 to 2034.

AI In Medical Imaging Market Key Takeaways:

• Based on technology, the deep learning segment held the largest share of 57.94% in 2024.
• Based on application, the neurology segment held the largest market share in 2024.
• The CT scan segment held the largest market share in 2024.
• The hospitals segment dominated the market with the largest share of 53.0% in 2024.
• The AI in medical imaging market in North America dominated the global industry in 2024 and accounted for the largest revenue share of over 43.00% in 2024.

The rising demand for the influx of complex and large datasets, increasing attention to lessen radiologists' workload, increased funding for AI-based start-ups by private players, government initiatives to endorse the use and benefits of AI-based tools and technologies in the medical industry, and growing cross-industry collaborations and partnerships are some of the factors driving this market. For instance, in June 2021, VUNO Inc., an artificial intelligence (AI) developer based in South Korea, announced a partnership with Samsung Electronics to integrate VUNO's AI-powered chest X-ray diagnostic solution into Samsung's high-end mobile digital X-ray system, the GM85.

U.S. AI in Medical Imaging Market Size and Growth 2024 to 2034

The U.S. AI in medical imaging market size is evaluated at USD 0.510 million in 2024 and is projected to be worth around USD 10.28 million by 2034, growing at a CAGR of 31.39% from 2024 to 2034.

The AI in medical imaging market in North America dominated the global industry in 2024 and accounted for the largest revenue share of over 44.00% in 2024. The region's advanced healthcare infrastructure and significant investment in healthcare technology provide a solid foundation for integrating AI solutions. Extensive R&D activities, particularly in the U.S., foster innovation and the development of cutting-edge AI applications in medical imaging. In addition, the increasing prevalence of chronic diseases and the rising demand for early and accurate diagnosis fuel the need for advanced imaging technologies. Regulatory support and favorable policies also encourage the adoption of AI in healthcare. Furthermore, the presence of major market players and numerous collaborations between technology companies and healthcare providers drive the continuous enhancement of AI-based imaging tools. This confluence of factors is propelling the regional market growth.

U.S. AI In Medical Imaging Market Trends

The U.S. AI in medical imaging marketheld the largest market share in 2024. This can be attributed to the growing adoption of AI technologies to revolutionize the healthcare landscape and support healthcare professionals in reshaping the diagnosis and treatment of diseases like cancer. This demand is not only driven by the potential for AI to enhance diagnostic accuracy but also by its ability to manage increasing workloads efficiently. Moreover, increasing consumer confidence and trust in AI technologies are pivotal drivers for the domestic market growth. A study published by New Intelerad Research in May 2022, revealed that approximately 64% of U.S. consumers highly trust AI for medical imaging applications. This growing confidence underscores the increasing acceptance and adoption of AI-driven solutions among healthcare providers and patients alike, further propelling market growth.

Europe AI In Medical Imaging Market Trends

AI in medical imaging market in Europe is expected to grow significantly over the forecast period. Europe is home to numerous collaborative research projects and consortia, such as the European Organization for Nuclear Research (CERN) and various Horizon 2020 projects, which focus on advancing AI in medical imaging. The European Union's Medical Device Regulation (MDR) has set clear guidelines for the approval and use of AI in medical imaging, ensuring safety and efficacy. This regulatory environment encourages innovation and adoption of AI technologies across Europe.

The UK AI in medical imaging market is expected to grow profitably over the forecast period. The UK government has been actively promoting the use of AI in healthcare through initiatives like the AI Sector Deal and funding from Innovate UK. The National Health Service (NHS) is a significant player in adopting AI to improve diagnostic accuracy and operational efficiency. Strong collaboration between academic institutions and industry players, exemplified by partnerships like those between leading universities and tech companies, drives innovation in AI medical imaging.

Asia Pacific AI In Medical Imaging Market Trends

The AI in medical imaging market in the Asia Pacific is expected to experience significant growth in the coming years. This growth can be attributed to increasing investments in AI within the healthcare sector, enabling businesses to enhance their revenue share through AI-driven medical imaging. For example, China aims to lead the world in artificial intelligence by 2030, supported by substantial government funding and investments to accelerate the adoption of AI technologies across various industries.

The Japan AI in medical imaging market held the largest market share of the APAC market revenue in 2024. This can be attributed to the increasing focus on technologies, such as AI, to improve diagnostic capabilities and manage healthcare demands. Key companies like Fujifilm and Canon are leading the way in developing sophisticated AI algorithms for medical imaging. Japan's Pharmaceuticals and Medical Devices Agency (PMDA) supports AI innovations, streamlining approval processes for AI-based medical devices. The increasing number of startups in Japan proactively launching novel AI-driven technologies in medical imaging would likely drive the market over the forecast period. For instance, in May 2024, NOVIUS, a healthcare startup, launched its innovative AI-driven technology, N-Vision 3D, which converts two-dimensional imagery to three-dimensional in real time, and helps in enhance surgical procedures. N-Vision 3D has the potential to revolutionize imaging for X-ray fluoroscopy equipment, endoscopes, and angiography. Notable advancement includes the existing 2D endoscopes (monocular cameras) that can be used with N-Vision 3D without any modifications.

AI in medical imaging market in China is expected to grow at the fastest CAGR over the forecast period. China's healthcare system faces significant challenges in meeting the rapidly growing medical demand driven by an aging population and rising patient expectations amid constrained medical resources. A critical issue is the shortage of high-quality healthcare professionals. Moreover, the increasing rate of misdiagnosis in the region for complex cases, particularly in basic medical facilities, also drives the demand for advanced technologies. AI applications can help alleviate daily administrative tasks for healthcare professionals and support clinical decision-making, thus improving patient outcomes. These challenges present a significant opportunity for the integration of AI in China's healthcare sector. Furthermore, significant initiatives by government and healthcare agencies in the country fuel the market. For instance, in July 2017, the State Council of China unveiled the New Generation AI Development Plan. This policy outlines a strategy to build an AI industry valued at over USD 62 billion, with a broader industry impact exceeding USD 774 billion by 2025.

Report Scope of AI In Medical Imaging Market

AI In Medical Imaging Market By Technology Insights

Based on technology, the deep learning segment held the largest share of 57.94% in 2024 owing to its superior ability to analyze complex medical images and provide accurate diagnostics. Deep learning algorithms, particularly convolutional neural networks (CNNs), have demonstrated exceptional performance in image recognition tasks, leading to their widespread adoption in medical imaging applications. Its approach in medical image analysis emerges as a fast-growing research as it allows for faster and more precise interpretation of medical images, leading to improved patient outcomes, personalized treatment planning, and efficient healthcare workflows. In addition, with ongoing research, interdisciplinary collaboration, and the development of more sophisticated algorithms, deep learning can revolutionize medical imaging and contribute significantly to the future of medicine.

For instance, in November 2024, Open AI launched Open AI Data Partnerships, partnering with various organizations to create datasets for AI training. The quality of these training files significantly influences the reliability of neural networks, enabling more accurate responses to user queries. To streamline the process, OpenAI sought external assistance to create high-quality datasets. The natural language processing (NLP) segment is expected to grow at the fastest CAGR over the forecast period due to its ability to transform unstructured textual data into actionable insights, improve workflow efficiency, and support clinical decision-making, making it an invaluable asset in modern healthcare. It extracts and analyzes unstructured data from medical records, radiology reports, and other sources, enabling more comprehensive data utilization and improved clinical decision-making.

The growth of machine learning and artificial intelligence (AI) has led to new trends in healthcare, where NLP plays a crucial role in tasks like diagnosis and drug discovery. Integrating computer vision into NLP healthcare is significant, as it aids in processing and interpreting complex medical images that may be challenging for humans to analyze accurately. For instance, in September 2024, Clearpath Technology launched PatientConnect, a patient-centric solution developed in collaboration with healthcare institutions. Utilizing AI and NLP simplifies radiology reports into easily understandable language. The platform, accessible via Clearpath's web platform and iOS and Android apps, allows patients to request, store, and share records and imaging from any provider, enhancing engagement and facilitating communication with trusted healthcare providers and family members.

AI In Medical Imaging Market By Application Insights

Based on application, the neurology segment held the largest market share in 2024 owing to the increased use of AI in neurology, as it provides better patient care and enables higher accuracy and high efficiency. The use of AI for detecting neurological conditions holds great promise in addressing the ever-increasing imaging volumes and providing timely diagnoses. Brain tumors, for instance, are among the most commonly misdiagnosed illnesses in neuro-oncology. Misdiagnoses can occur due to various factors, including the incorrect interpretation of symptoms and inaccuracies in analyzing medical reports. The adoption of AI can significantly improve the diagnosis and detection of brain tumors and other neurological cancers, offering high accuracy and consistency, thus driving the segment growth.

Studies show that optical imaging combined with deep convolutional neural networks can accurately predict brain tumors in less than 150 seconds, further boosting the adoption of AI solutions in medical imaging of neurological disorders. The breast screening segment is expected to grow at the fastest CAGR over the forecast period. The increasing incidence of breast cancer cases and the growing patient preference for early-stage detection, enabling prompt and precise treatment initiation, are significant drivers propelling the demand for breast screening. According to WHO, in 2022, breast cancer caused 6,70,000 deaths globally. Early detection is crucial for improving survival rates, and AI can significantly enhance the accuracy and efficiency of screening processes.

Innovations in AI, particularly in machine learning and deep learning, have led to the development of sophisticated algorithms that can analyze mammograms and other imaging modalities with high precision. These technologies can detect subtle signs of cancer that human radiologists may miss. For instance, in November 2024, GE HealthCare launched MyBreastAI Suite, an AI-based platform designed to aid clinicians in breast cancer detection and workflow productivity. The suite includes three AI applications: PowerLook Density Assessment, SecondLook for 2D Mammography, and ProFound AI for DBT, which improve patient outcomes and operational efficiency.

AI In Medical Imaging Market By Modalities Insights

The CT scan segment held the largest market share in 2024 due to their ability to provide detailed cross-sectional images of the body making them indispensable in medical diagnostics. CT scans are a widely used imaging modality for diagnosing various conditions, including cancers, cardiovascular diseases, trauma, and musculoskeletal disorders. AI algorithms can automatically detect and quantify abnormalities in CT images, such as tumors, lesions, and fractures, reducing the workload on radiologists and increasing diagnostic accuracy. This is achieved by automating and optimizing various data acquisition processes, such as patient positioning and setting acquisition parameters. After the data collection phase, AI continues to play a crucial role in optimizing image reconstruction parameters, implementing advanced reconstruction algorithms, and applying image denoising techniques.

These advancements collectively enhance image quality, mainly by reducing image noise, thereby allowing the use of lower radiation doses during data acquisition. The growth of this segment is also fueled by market initiatives, such as CGI's partnership with Planmeca and Helsinki University Hospital to develop an AI-powered solution for radiologists in May 2024. The solution interprets brain CT scans and detects common non-traumatic brain hemorrhages, demonstrating the potential of AI in improving diagnostic accuracy and efficiency in medical imaging. The X-ray segment is anticipated to expand at the fastest CAGR over the forecast period. This rapid growth can be attributed to several factors that highlight the critical role of X-ray imaging in healthcare and the transformative impact of AI technologies.

The primary factor propelling this segment is the rising utilization of interventional X-ray equipment for surgeries guided by imaging, including C-arms and similar devices. AI algorithms can automatically detect fractures, infections, tumors, and other abnormalities in X-ray images, improving diagnostic accuracy and reducing the burden on radiologists. In October 2024, Koninklijke Philips N.V. introduced the new X-ray system, Philips Image Guided Therapy Mobile C-arm System 3000 (Zenition 30), which offers real-time image guidance for various clinical procedures, including orthopedics, trauma, spine interventions, pain management, and surgical processes, specifically designed for operating rooms.

AI In Medical Imaging Market By End Use Insights

The hospitals segment dominated the market with the largest share of 53.0% in 2024 and is expected to grow at the fastest CAGR of over the forecast period. According to the survey published by Definitive Healthcare in 2020, about one-third of hospitals and imaging centers report using AI, machine learning (ML), or deep learning to aid tasks associated with patient care imaging. In addition, the segment growth is observed due to the availability of cutting-edge medical imaging equipment in hospitals with a solid infrastructure.

The growing adoption of AI in medical imaging solutions, especially for cancer diagnostics, is impelling the segment growth. Furthermore, hospitals partnering with the market players to deploy AI in medical imaging solutions is expected to drive market growth over the forecast period. For instance, in May 2022, Atlantic Health System and Aidoc formed a partnership to implement an AI imaging solution to help physicians expedite care and enhance health outcomes.

Some of the prominent players in the AI in medical imaging market include:

• GE HealthCare
• Microsoft
• Digital Diagnostics Inc.
• TEMPUS
• Butterfly Network, Inc.
• Advanced Micro Devices, Inc.
• HeartFlow, Inc.
• Enlitic, Inc.
• Canon Medical Systems USA, Inc.
• Viz.ai, Inc.
• EchoNous, Inc.
• HeartVista Inc.
• Exo Imaging, Inc
• Nano-X Imaging Ltd.

AI In Medical Imaging Market Recent Developments

• In January 2024, GE HealthCare announced an acquisition agreement with MIM Software from Cleveland, a global provider of medical imaging analysis and AI solutions in molecular radiotherapy, radiation oncology, urology, and diagnostic imaging. The acquisition aims to integrate MIM Software's imaging analytics and digital workflow capabilities across diverse care areas, enhancing innovation and distinguishing GE HealthCare's solutions to positively impact patients and healthcare systems globally
  
  
• In November 2024, GE HealthCare announced its AI suite named MyBreastAI at the RSNA 2024 conference. This innovative product helps streamline radiologists' workflows, offering them advanced tools to identify and diagnose breast cancer at earlier stages, ultimately contributing to improved patient outcomes
  
  
• In November 2024, Canon Medical Systems introduced two out of four new computed tomography scanners, utilizing the upgraded Aquilion CT platform and incorporating artificial intelligence algorithms for improved image quality and simplified scanner workflows
  
  
• In September 2024, COTA, a company working on real-world oncology data and analytics, introduced Vista, a vast automated EHR dataset, to expedite cancer research and implement reliable generative artificial intelligence in cancer care. Vista utilizes automated data abstraction, machine learning algorithms, and medical expert oversight to extract clinically pertinent information from electronic medical records, providing biopharmaceutical companies with timely insights for the accelerated development of life-saving therapies
  
  
• In July 2022, the FDA gave Philips SmartSpeed AI-based software its 510(k) approval, enabling it to offer ground-breaking high-speed, high-resolution MR imaging. Its broad compatibility enables quicker and higher-quality scans for almost all patients with various illnesses, including those with implants (97% of clinical protocols). In addition, the intelligent MR acceleration software offers three times quicker scans, which increases MR department efficiency with high-quality picture resolution

Segments Covered in the Report

This report forecasts revenue growth at country levels and provides an analysis of the latest industry trends in each of the sub-segments from 2021 to 2034. For this study, Nova one advisor, Inc. has segmented the AI in medical imaging market

By Technology

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

By Application

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

By Modalities

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

By End Use

• Hospitals
• Diagnostic Imaging Centers
• Others

By Regional

• North America
• Europe
• Asia Pacific
• Latin America
• Middle East and Africa (MEA)