AI in Medical Imaging Market Size, Share & Industry Analysis, By Component (Services and Services), By Deployment (On Premise, Cloud Based, and Hybrid), By Application (Radiology, Oncology, Pathology, Cardiology, Orthopedics, and Others), By Technology (Machine Learning & Deep Learning, Natural Language Processing, and Others), By Modality (CT Scan, MRI, X Ray, and Others), By End User (Hospitals & Clinics, Diagnostic Imaging Centers, and Others), and Regional Forecast, 2026-2034

The global AI in medical imaging market size was valued at USD 1.88 billion in 2025. The market is projected to grow from USD 2.43 billion in 2026 to USD 29.95 billion by 2034, exhibiting a CAGR of 36.91% during the forecast period. North America dominated the global AI in medical imaging market with a market share of 40.42% in 2025.

The global market is witnessing significant growth due to the increasing volumes of diagnostic imaging and the enhanced throughput resulting from the integration of AI in imaging workflows.

Several key companies are engaging in strategic collaborations and partnerships to enhance their payment processes and claims management workflows, thereby optimizing business operations.  

• In December 2024, Concord Technologies partnered with Konica Minolta Healthcare Americas to enhance and improve data delivery and usage capabilities for users of its Exa Platform, an integrated, single-database PACS and radiology information system (RIS) solution.

Moreover, major players in the medical imaging industry, such as Spectral AI, Inc. and Aidoc Medical Ltd., among others, are operating in the market, introducing innovative solutions to meet the growing global demand for AI in medical imaging.  

AI IN MEDICAL IMAGING MARKET TRENDS

Convergence of AI Imaging into Multimodal workflows is a Significant Market Trend

One of the significant global trends in the AI-driven medical imaging market is the convergence of AI imaging solutions into multimodal workflows. Hospitals are witnessing a shift from using individual AI tools to connected workflows, where imaging AI, reporting, and documentation work together. These factors help radiologists reduce the time between PACS, dictation, measurement tools, and reporting templates, thereby decreasing turnaround time. These developments reduce repetitive tasks and make reporting more consistent and reliable. As a result, providers receive faster reads, better prioritization, and easier standardization across sites, expanding the overall market.

Underscoring these developments, key companies are also focusing on technological innovation to bring forth innovative solutions.

• For instance, in January 2026, Google released MedGemma 1.5, an updated version of its open healthcare-focused AI model. The model expanded support for CT scans, MRI, and histopathology, and also introduced MedASR, a medical speech-to-text system for clinical dictation and healthcare workflows. Technological advancements and new products have improved operational efficiency and enhanced the patient experience.

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MARKET DYNAMICS

MARKET DRIVERS

Cloud Adoption is Accelerating Access to AI-Enabled Imaging Workflows to Drive Market Demand

Hospitals are moving imaging data and radiology IT to the cloud as their current on-premise systems can be slow to scale, hard to maintain, and difficult to share across multiple sites. This creates delays in image access, slows reporting, and makes it harder to roll out new AI tools consistently. When imaging workflows (storage, viewing, reporting, and collaboration) run on cloud services, providers can connect sites more easily, give radiologists secure remote access, and standardize protocols across networks. As a result, AI becomes easier to deploy and update across multiple hospitals simultaneously (instead of installing point tools one by one), which increases adoption speed, expands enterprise-wide contracts, and drives overall market growth for AI in medical imaging.

• For instance, in February 2025, Koninklijke Philips N.V. expanded its cloud-based radiology informatics solutions to Europe, including the exploration of generative AI to enhance radiology reporting, such developments to drive the global AI in medical imaging market growth.

MARKET RESTRAINTS

Cybersecurity Threats to Render Market Growth

The principal factor hampering the market growth is the increasing threat of cybersecurity. When hospitals and imaging networks integrate AI tools into imaging workflows, such as PACS/RIS/EHR, they expose more systems and patient data to cyber risk. In the event of a breach, providers tighten access, pause integrations, and implement additional security checks before approving any new AI deployments. This increases procurement scrutiny, lengthens sales cycles, and delays scaling AI across sites, adding cost, especially for cloud-connected imaging workflows. These factors adversely affect the imaging market, resulting in slower adoption of these solutions.

• For instance, in March 2025, SimonMed Imaging experienced a data security incident and issued notices to affected individuals and relevant state and federal agencies. In response, the company removed all direct access to systems within its environment by third-party vendors and their associated tools, limiting access only to authorized traffic. Such incidents erode consumer trust and raise questions about the reliability of cybersecurity initiatives.

MARKET OPPORTUNITIES

Technological Advancements in AI Imaging Are Creating a Major Market Growth Opportunity

Technological advancements in the AI field are promoting faster adoption by Imaging departments in healthcare settings and driving market growth. These advancements overcome the challenges of traditional imaging workflows. When new AI innovations, such as deep-learning reconstruction and advanced image processing, improve image quality and reduce noise, providers can scan faster, repeat fewer exams, and maintain diagnostic confidence, thereby enhancing the imaging output. As a result, many key companies are forming strategic partnerships to enhance their imaging workflows across various modalities and drive growth as AI transitions from small-scale trials to routine use. The demand for AI-enabled imaging platforms and services is increasing.

• For instance, in May 2025, the International medical imaging, IT, and cybersecurity company Sectra partnered with a US health system to provide its enterprise imaging solution as a cloud service, Sectra One Cloud, which includes its AI service, Sectra Amplifier Service. The fully managed cloud service strengthened the health system's security and scalability, and streamlined workflows within its radiology, breast imaging, and cardiology departments, enabling such development to support market growth and enhance patient care.

MARKET CHALLENGES

Unclear reimbursement and ROI Pose a Critical Challenge to Market Growth

Most imaging AI tools sit inside the standard reading workflow (triage flags, fracture detection, nodule detection, and measurements), so payers often treat them as part of the radiologist’s existing interpretation, not as a separately billable service. As only a small number of imaging-AI use cases have proper payment-backed CPT Category I codes (mainly in cardiac CT), many hospitals must fund AI from their own operating budgets and prove value through internal ROI (faster turnaround time, fewer repeats, and higher throughput). When the ROI is not clearly quantified upfront, procurement teams delay approvals, pilots remain small, and multi-site rollouts are postponed, directly slowing market growth.

• For instance, in September 2025, Medicare denied approximately USD 16.0 million worth of radiology artificial intelligence claims over the past five years.
• Similarly, in September 2025, the Journal by the American College of Radiology published a report titled ‘National Adoption of Artificial Intelligence Software in Medicare Among Radiologists’. According to the study, researchers conducted a nationwide, longitudinal analysis of AI adoption among radiologists in the Medicare program. Radiologists provided and submitted claims for a total of 83,392 AI services between 2018 and 2023; of those, approximately 47% were accepted and reimbursed by Medicare for a total of USD 8 million. Conversely, nearly 53% of services were submitted and denied, representing USD 16.4 million in rejected payments. Such instances pose a challenge and slow down decision-making to invest in AI integration for medical imaging services.

Segmentation Analysis

By Component

Recurring Revenue from Software Segment to Propel Segmental Growth

Based on the component, the market is divided into software and services.

Among these, the software segment dominated the AI in medical imaging market share in 2025. The segment dominates the market as it generates the majority of revenue. Buyers prefer subscription and software platforms over managed services. AI value in medical imaging is delivered from algorithm licenses, workflow orchestration, viewer integration, and enterprise platforms.

Furthermore, strategic collaborations among key companies, the introduction of new product offerings, and innovative solutions all support market growth.

• For instance, in June 2024, Koninklijke Philips N.V. expanded IntelliSpace Radiology on AWS and introduced Philips AI Manager, enabling radiologists to access multiple AI applications directly within their workflow, demonstrating the development aimed at improving productivity. Such developments are anticipated to drive the market growth.

The services segment is expected to grow at a CAGR of 38.80% over the forecast period.  

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By Deployment

Cost Efficiency by On-Premise Solutions to Lead Segmental Growth

Based on deployment, the market is segmented into on-premise, cloud-based, and hybrid.

In 2025, the on-premises segment dominated the market. Imaging data is large and sensitive, and hospitals must maintain radiology operations even when the internet is slow or down. Due to these factors, healthcare providers prefer AI that runs on-premise, close to PACS and scanners, to reduce latency. This also enables them to maintain tighter control over data and comply with strict security rules. This lowers operational risk, underscoring these advantages, and as a result, the preference for on-premises solutions rises, reinforcing their dominance. Furthermore, key companies are increasingly investing in new product launches and focusing on advancing their offerings to strengthen their market position.

• For instance, in March 2025, NVIDIA collaborated with GE HealthCare to advance innovation in autonomous imaging, focusing on the development of autonomous X-ray technologies and ultrasound applications.

The cloud-based segment is projected to grow at a CAGR of 47.36% for the global market.

By Application

High Utilization of AI Imaging Solutions in Radiology to Lead Segmental Growth

Based on application, the market is segmented into radiology, oncology, pathology, cardiology, orthopedics, and others.

In 2025, the radiology segment dominated the market.  Radiology offers the first point of contact for most medical images that are interpreted and reported. It also handles very high volumes and critical cases, so delays quickly turn into backlogs. The integration of AI reduces manual steps, such as triage, measurements, and reporting clicks, allowing radiologists to read more efficiently and prioritize urgent cases. These factors enhance turnaround time and throughput, leading to segmental dominance.

• For instance, in February 2024, Strategic Radiology partnered with Qure.ai to foster easier access to medical imaging AI technology. The collaboration enabled Strategic Radiology members to utilize AI tools from Qure.ai for the early identification of lung nodules, the triage of emergency head CT scans, and the streamlined reporting of chest X-rays. The development is offered to deliver clinical quality improvement and operational efficiencies to the company’s member practices, hospital partners, and patients.

The pathology segment is projected to grow at a CAGR of 43.29% during the forecast period for the global market. 

By Technology

Highly Complex Learning Pattern Capabilities of Machine Learning and Deep Learning to Reinforce Dominance in Market

Based on technology, the market is segmented into machine learning & deep learning, natural language processing, and others.

Among the above technologies, machine learning & deep learning accounted for the largest share in the market. Most imaging AI applications rely on deep learning as it excels at identifying patterns in complex image data and generating reliable outputs for detection, reconstruction, and quantification. As deep learning algorithms improve image quality and reduce noise, clinicians gain more confidence in their diagnoses, and hospitals can scan faster or at a lower dose while maintaining diagnostic value. This directly improves productivity and patient outcomes, and drives dominance. Moreover, companies are focusing on regulatory approval to capitalize on the potential growth of the segment.

• For instance, in May 2025, GE HealthCare received 510(k) clearance from the U.S. FDA for its Aurora, a dual-head SPECT/CT system, and Clarify DL, its AI-powered Deep Learning image reconstruction technology system. This advanced dual-head SPECT/CT is designed to enhance diagnostic capabilities and streamline workflows, offering clinicians excellent image quality and operational efficiency, developments that are expected to fuel segmental growth.

In addition, natural language processing is projected to grow at a CAGR of 45.08% during the study period.

By Modality

High CT Scan Volumes to Lead Their Dominance in Market

Based on modality, the market is segmented into CT scans, MRI, X-rays, and others.

In 2025, CT scans dominated the market based on modality, as it is widely used in emergency and acute care, operates at high volume, and often requires rapid decision-making. As CT produces large volumes of images per study, even minor AI improvements in reconstruction, speed, and automation create returns in throughput and faster diagnosis. This makes CT one of the most valuable areas for AI investment and upgrades, underscoring the fact that the segment is anticipated to dominate. Additionally, technological advancements in the segment also supports the growth of the market.

• For instance, in March 2025, Canon Medical announced significant AI enhancements for the Aquilion ONE/INSIGHT Edition, including the new PIQE 1024 matrix and SilverBeam for CT imaging innovation across a broader range of clinical applications. This development expanded the device's capabilities.

Additionally, the MRI segment is projected to grow at a CAGR of 38.80% during the study period.

By End User

High Utilization by Hospitals & Clinics to Place Them in a Leading Position

Based on end user, the market is segmented into hospitals & clinics, diagnostic imaging centers, and others.

Hospitals & clinics dominated the global market in 2025. The segment interacts with the most significant patient volumes, utilizes multiple imaging modalities, and requires standardized workflows across departments and sites. When AI improves turnaround time and decision-making speed in hospital pathways, the output is enhanced, providing better patient care. The shorter turnaround time also helps healthcare providers with early diagnosis, providing better outcomes. Highlighting these factors, many key companies are participating in strategic collaborations with hospitals and other healthcare providers to facilitate the adoption of these solutions.

• For instance, in November 2025, RapidAI partnered with Saudi Health Holdings Company (HHC), a healthcare provider in the Middle East. The partnership enabled Rapid AI to serve as HHC’s enterprise provider of deep clinical AI across its health clusters network. Such developments drive the growth of the segment.

In addition, the diagnostic imaging centers segment is projected to grow at a CAGR of 40.54% during the study period.

AI in Medical Imaging Market Regional Outlook

By region, the market is categorized into Europe, North America, Asia Pacific, Latin America, and the Middle East & Africa.

North America

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North America held the dominant share in 2024, valued at USD 0.61 billion, and maintained its leading position in 2025, with a value of USD 0.76 billion. The market in North America is expected to increase significantly over the forecasted years, leading to market growth. The growth in the region is driven by high imaging volumes and intense pressure to reduce report turnaround time. This pushes providers to invest in AI that can triage and automate reporting. Additionally, rising IT budgets and cloud partnerships are enabling the training and deployment of imaging foundation models at scale, supporting market growth. These factors are collectively enabling market growth.

U.S. AI in Medical Imaging Market

Based on North America’s substantial contribution and the U.S. dominance within the region, the U.S. market can be analytically approximated at around USD 0.90 billion in 2026, accounting for roughly 37.21% of the global market.

Europe

Europe is projected to record a growth rate of 36.25% in the coming years, the second-highest among all regions, and reach a valuation of USD 0.86 billion by 2026. The region is expected to experience robust growth due to increasing diagnostic procedures and high volumes of imaging, as well as government support.

U.K. AI in Medical Imaging Market

The U.K. market in 2026 is estimated to be around USD 0.10 billion, representing roughly 4.25% of the global market in 2026.

Germany AI in Medical Imaging Market

Germany’s market is projected to reach approximately USD 0.17 billion in 2026, equivalent to around 7.11% of the global market.

Asia Pacific

Asia Pacific is estimated to reach USD 0.58 billion in 2026 and secure the position of the third-largest region in the market. The growth is attributed to digitalization and modernization in healthcare, which has led to an expansion of imaging capacity and an upgrade of workflows. These factors drive demand for global markets and support market growth.

Japan AI in Medical Imaging Market

The Japan market in 2026 is estimated at around USD 0.14 billion, accounting for roughly 5.84% of the global market.

China AI in Medical Imaging Market

China’s market is projected to be one of the largest worldwide, with 2026 revenues estimated at around USD 0.20 billion, representing roughly 8.10% of global sales.

India AI in Medical Imaging Market

The Indian market in 2026 is estimated to be around USD 0.05 billion, accounting for roughly 1.98% of the global revenue.

Latin America and the Middle East & Africa

Latin America and the Middle East & Africa regions are expected to experience moderate growth in the global market during the forecast period. The Latin America market is set to reach a valuation of USD 0.13 billion in 2026. The region is experiencing market growth due to increasing investment and government initiatives. In the Middle East & Africa, the GCC is set to reach a value of USD 0.01 billion in 2026.

South Africa AI in Medical Imaging Market

The South African market is projected to reach approximately USD 0.01 billion by 2026, accounting for roughly 0.38% of the global revenue.

COMPETITIVE LANDSCAPE

Key Industry Players

Focus on New Product Launches by Key Players to Propel Market Progress

The global market has a consolidated market structure, with companies such as Spectral AI, Inc., Viz.ai, Inc., Aidoc Medical Ltd., and Microsoft holding a significant market share. The leading market share of these companies is attributed to strategic partnerships, technological advancements, and increasing investments in the sector.

• For instance, in July 2024, Microsoft Corp. collaborated with Mass General Brigham and the University of Wisconsin School of Medicine and Public Health to accelerate the solution of challenges in radiology and further advance AI in medical imaging, thereby driving clinician efficiency and enabling better health outcomes, such developments aimed to drive market growth.

Other notable players in the global market include GE HealthCare Technologies Inc., Qure.ai Technologies Pvt. Ltd., and iCAD, Inc. These companies are expected to prioritize technological advancements, strategic collaborations, and new product launches to strengthen their position during the forecast period for the global market.

LIST OF KEY AI IN MEDICAL IMAGING COMPANIES PROFILED

• Spectral AI, Inc. (U.S.)
• ai, Inc. (U.S.)
• Aidoc Medical Ltd. (U.S.)
• RapidAI, Inc. (U.S.)
• Siemens Healthineers AG (U.S.)
• GE HealthCare Technologies Inc. (U.S.)
• ai Technologies Pvt. Ltd. (India)
• iCAD, Inc. (U.S.)
• HeartFlow, Inc. (U.S.)
• Gleamer S.A.S. (France)

KEY INDUSTRY DEVELOPMENTS

• December 2025: GE HealthCare collaborated with Indonesia’s Health Referral Network (SIHREN) program to supply more than 300 CT scanners, delivering equitable, high-quality care.
• June 2025: Hyperfine, Inc. received U.S. FDA clearance of its most significant technological advancement. This new system delivers the highest level of image quality, functionality, and usability, unlocking a new paradigm in brain imaging for clinicians and their patients.
• May 2025: RamSoft Inc., a cloud-based RIS/PACS platform, partnered with Therapixel to integrate Therapixel's AI-powered MammoScreen software directly into RamSoft's PowerServer and OmegaAI platforms.
• July 2024: GE HealthCare acquired Intelligent Ultrasound Group PLC’s clinical artificial intelligence (AI) software business for USD 51.0 million. Intelligent Ultrasound is a leader in integrated AI-driven image analysis tools designed to make ultrasound more innovative and more efficient.
• February 2023: Blackford Analysis, a global strategic imaging AI platform and solutions provider, was acquired by Bayer AG. The company provides infrastructure and access to a rich clinical application ecosystem focused on imaging and analytics.

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