U.S. AI In Medical Imaging Market Size, Share & Trends Analysis Report By Technology (Deep Learning), By Application (Neurology), By Modality (MRI), By End-use (Hospitals),- Industry Analysis, Size, Share, Growth, Trends, and Forecast 2025-2034

U.S. AI In Medical Imaging Market Size and Trends

The U.S. AI in medical imaging market size was exhibited at USD 526.54 million in 2024 and is projected to hit around USD 9,326.72 million by 2034, growing at a CAGR of 33.3% during the forecast period 2025 to 2034.

U.S. AI in Medical Imaging Market Key Takeaways:

• The deep learning segment held the largest share of 58.6% in 2024.
• The natural language processing (NLP) segment is expected to grow at the fastest CAGR over the forecast period.
• The neurology segment held the largest share in 2024.
• The breast screening segment is expected to grow at the fastest CAGR over the forecast period.
• The CT scan segment held the largest market share in 2024 due to the higher standard imaging method for many clinical results.
• The X-ray segment is anticipated to expand at the fastest CAGR over the forecast period.
• The hospital segment dominated the market with a market share of 52.0% in 2024 and is expected to grow at the fastest CAGR of over the forecast period.

Report Scope of U.S. AI in Medical Imaging Market

The surge in demand for managing extensive and complex datasets, coupled with government initiatives endorsing the integration of artificial intelligence-based technologies in healthcare, propels the adoption of artificial intelligence tools in the industry. A growing focus on alleviating the workload of radiologists has spurred the utilization of artificial intelligence (AI) solutions to automate routine tasks and enhance diagnostic processes.

The market is witnessing increased financial backing from private players for AI-based start-ups, stimulating innovation and development in the sector. In addition, cross-industry collaborations and partnerships are rising as diverse sectors join forces to leverage artificial intelligence technologies in medical imaging, fostering partnerships and contributing to the market's overall growth.

The growing need to handle vast and complex medical datasets has led to an increase in the adoption of artificial intelligence in medical imaging in the U.S. This surge is driven by the technology's ability to enhance diagnostic precision, expedite image analysis, and improve overall healthcare efficiency through advanced data management and interpretation capabilities. For instance, Rayscape CXR differentiates between normal X-rays and those displaying anomalies, streamlining patient care and enabling rapid physician triage. With the capability to detect over 147 pathologies, it offers a swift and efficient method for doctors to prioritize and address patient needs.

Government initiatives in the U.S. supporting the integration of artificial intelligence in healthcare, particularly in medical imaging, have fueled significant advancements in the sector. These initiatives involve funding and regulatory support, fostering collaboration between the public and private sectors. The resulting acceleration of AI adoption in medical imaging has improved diagnostic accuracy, streamlined workflows, and enhanced patient care, propelling the market.

The National Institutes of Health (NIH) made an announcement in September 2022 to invest USD 130 million over four years, subject to fund availability, to accelerate the widespread use of artificial intelligence in biomedical and behavioral research. The initiative, called Bridge2AI under the NIH Common Fund, brings together interdisciplinary teams to create AI-specific tools, resources, and detailed datasets, with the goal of facilitating broader adoption of the technology in research communities. Moreover, the Food and Drug Administration (FDA) is actively formulating a regulatory framework for software modifications driven by AI/ML to establish pertinent guidelines ensuring safety and effectiveness.

Moreover, financial backing for AI-Based startups is projected to propel the U.S. artificial intelligence (AI) in medical imaging market. For instance, in June 2024, Carta Healthcare, Inc., which is dedicated to enhancing patient care through clinical data, announced its Series B financing with an additional USD 25 million, boosted by investments from prominent health systems UnityPoint Health and Memorial Hermann Health System. This additional funding builds upon the initial USD 20 million series B financing announced in November 2022, featuring support from investors such as Asset Management Ventures and Frist Cressey Ventures.

U.S. AI in Medical Imaging Market By Technology Insights

Based on technology, the market is segmented into deep learning, natural language processing (NLP), and others. The deep learning segment held the largest share of 58.6% in 2024 as it is used in radiological applications such as image generation, object detection, image segmentation, and image transformation, this growth is attributed to the growing availability of extensive medical imaging datasets for training purposes facilitates the development of sophisticated deep learning models. For instance, in November 2024, OpenAI announced an initiative, OpenAI Data Partnerships, which collected records from various organizations to construct datasets for artificial intelligence training. The quality of the training files used directly impacts the reliability of the neural network built. A more pertinent dataset enables the neural network to respond to user queries more accurately. Creating a high-quality dataset is typically time-consuming and expensive, so OpenAI sought assistance from external organizations to streamline this effort.

The natural language processing (NLP) segment is expected to grow at the fastest CAGR over the forecast period. NLP technology utilizes a computer program that interprets and presents information in current human language, encompassing text and images. Factors driving NLP are increased application in machine learning (ML) and artificial intelligence (AI). This expansion has led to new trends and developments, particularly in healthcare, where NLP plays a crucial role in tasks ranging from diagnosis to drug discovery. Integrating computer vision into NLP healthcare is noteworthy, as it aids in processing and interpreting complex medical images that may be challenging for humans to analyze accurately.

In healthcare, NLP and computer vision partnerships enable faster and more precise examination findings from various medical scans and screenings, benefiting medical professionals and providers alike. For instance, in September 2024, Clearpath Technology announced its patient-centric offering, PatientConnect, which was developed in collaboration with prominent healthcare institutions. Fueled by artificial intelligence (AI) and natural language processing (NLP), PatientConnect incorporates built-in patient education to simplify intricate radiology reports into easily understandable language for patients. Accessible via Clearpath's web platform, iOS, and Android apps, patients can conveniently request, securely store, and share records and imaging from any provider. This user-friendly solution enhances patient engagement and facilitates seamless communication with trusted healthcare providers and family members.

U.S. AI in Medical Imaging Market By Application Insights

Based on application, the market is segmented into respiratory and pulmonary, neurology, breast screening, cardiology, orthopedics, and others. The neurology segment held the largest 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. In addition, the technology is used in neuro-vascular disease detection, neuro-oncology, traumatic brain injury detection, and neurosurgery. For instance, in May 2024, TeraRecon launched Neuro Suite, an innovative clinical suite driven by artificial intelligence (AI). Tailored for disease triage and offering insights for differential diagnosis, Neuro Suite is specifically designed to facilitate care activation in neurological conditions like multiple sclerosis, neuro-oncology, and dementia. The platform offers seamless integration throughout the healthcare organization, addressing clinicians' challenges in decision-making for chronic neurological care. With its AI capabilities, Neuro Suite aims to enhance the efficiency and precision of diagnostic processes in neurological diseases.

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. In addition, supportive government initiatives aimed at aiding clinical interpretation and the expanded accessibility to breast cancer screening technologies are anticipated to be crucial factors fostering market growth.

These trends underscore a collective effort toward advancing breast cancer detection, diagnosis, and subsequent treatment, emphasizing the importance of proactive measures and accessible screening technologies. For instance, in November 2024, GE HealthCare announced MyBreastAI Suite, an innovative all-in-one platform comprising artificial intelligence (AI) applications to assist clinicians in breast cancer detection while enhancing workflow productivity. MyBreastAI Suite integrates three AI applications iCAD developed: SecondLook for 2D Mammography, PowerLook Density Assessment, and ProFound AI for DBT. These applications collectively improve patient outcomes and early detection and aid radiology departments in enhancing operational efficiency.

U.S. AI in Medical Imaging Market By Modalities Insights

The CT scan segment held the largest market share in 2024 due to the higher standard imaging method for many clinical results. Both major and minor suppliers offer a wide variety of AI-based medical imaging solutions for use in the CT scan modality. The CT scan collects more thorough data than other methods. In addition, it has not been demonstrated that the small amounts of radiation used in CT scans are harmful over the long term. The market is segmented based on modality into MRI, CT scan, ultrasound, X-ray, and nuclear imaging. For instance, in November 2024, Brainomix, a company focused on developing AI-powered software solutions for precision medicine in stroke, lung fibrosis, and cancer, has declared its ongoing expansion in the U.S. The company introduced its complete set of FDA-cleared modules within the Brainomix 360 platform, a comprehensive solution for stroke imaging. This platform aims to provide advanced capabilities for precise medical decision-making, particularly in stroke, offering healthcare professionals a robust tool for improved treatment decisions.

The X-ray segment is anticipated to expand at the fastest CAGR over the forecast period. 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. The advancements in C-arm technology, particularly the emergence of compact C-arms equipped with flat panel detectors and digital radiography, have substantially heightened the global demand for X-rays. For instance, in October 2024, Koninklijke Philips N.V. introduced the Philips Image Guided Therapy Mobile C-arm System 3000, known as Zenition 30. These mobile C-arms are X-ray systems specifically designed to be utilized within the operating room, offering real-time image guidance for a diverse array of clinical procedures encompassing orthopedics, trauma, spine interventions, pain management, and various surgical processes.

U.S. AI in Medical Imaging Market By End-use Insights

The hospital segment dominated the market with a market share of 52.0% in 2024 and is expected to grow at the fastest CAGR of over the forecast period. The growth is anticipated as patients prefer hospitals for the treatment process in the terms of convenience and various product offerings in one place.

Moreover, hospitals are easily accessible at different locations. Based on end-use, the market is segmented into diagnostic imaging centers, hospitals, and others. The hospital segment is also anticipated to benefit from favorable reimbursement regulations.

Some of the prominent players in the U.S. 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

U.S. AI in Medical Imaging Market Recent Developments

• In November 2024, GE HealthCare announced its AI suite named MyBreastAI at the RSNA 2024 conference. This innovative product aimed to 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, Koninklijke Philips N.V. expanded its enterprise imaging and introduced its HealthSuite Imaging AI solutions at RSNA23 on Amazon Web Services for faster adoption of new capabilities, improved operational efficiency, and enhanced patient care through secure cloud-based PACS, enabling high-speed remote access and AI-driven workflow orchestration.
  
  
• 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.

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 U.S. 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