U.S. AI in Diagnostic Imaging Market to Reach USD 8.28 Billion and Europe USD 6.22 Billion by 2035 as Cloud-Based Radiology, Oncology Imaging, and Workflow Automation Drive Growth.

Austin, United States, Sept. 11, 2026 (GLOBE NEWSWIRE) -- According to SNS Insider, The AI in Diagnostic Imaging Market was valued at USD 2.92 Billion in 2025 and is projected to reach USD 24.73 Billion by 2035, expanding at a CAGR of 23.83% during 2026-2035. The growth rate has increased due to the growing integration of AI-assisted diagnostic algorithms, higher volumes of imaging in healthcare facilities, and the increasing adoption of cloud-based radiology solutions. Deep learning software, automated diagnostic imaging interpretation applications, and AI-assisted workflow tools are being deployed more often by hospitals and imaging vendors in order to increase diagnostic precision, decrease radiologists’ workload, and raise clinical productivity.

In 2025-2026, several technology companies in the healthcare sector increased commercial availability of radiology workflow solutions with the assistance of generative AI and diagnostic decision support and image prioritization tools.


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AI in Diagnostic Imaging Market Key Highlights

  • Market size, 2025: USD 2.92 Billion
  • Market forecast, 2035: USD 24.73 Billion
  • CAGR: 23.83% from 2026 to 2035
  • Largest region: North America, approximately 41.00% share in 2025
  • Fastest-growing region: Asia Pacific, approximately 27.45% CAGR
  • Largest deployment model: On-Premise AI Solutions, approximately 52.00% share in 2025
  • Fastest-growing deployment model: Cloud-Based AI Platforms, approximately 28.25% CAGR
  • Largest imaging modality: Computed Tomography (CT), approximately 38.00% share in 2025
  • Fastest-growing imaging modality: X-Ray & Mammography, approximately 24.86% CAGR
  • Largest application: Oncology Imaging, approximately 42.00% share in 2025
  • Fastest-growing application: Cardiology & Other Imaging Applications, approximately 24.60% CAGR
  • Largest end user: Hospitals & Health Systems, approximately 58.00% share in 2025
  • Fastest-growing end user: Diagnostic Imaging Centers, approximately 25.24% CAGR

Market Relevance

The role of artificial intelligence is becoming more and more prominent in the realm of diagnostic imaging due to the shortage of radiologists and increased demand for imaging. The development of smart hospital ecosystems, digital health infrastructure, and intelligent imaging platforms remains instrumental to ensure long-term commercialization in both mature and developing healthcare markets.

AI in Diagnostic Imaging Market Overview

The market includes on-premise and cloud-based AI deployment models used in CT scans, X-rays, mammograms, and other types of imaging procedures used in oncology, cardiology, and other medical applications. On-premise solutions continue to be more popular in large healthcare institutions that need secure in-house solutions with complete control over patients' data and security issues, while cloud-based solutions have become more popular due to the increasing use of imaging analytics in remote locations.

Strategic Market Outlook

Future prospects of growth can be seen in the expansion of cloud-enabled diagnostic ecosystems and predictive imaging analytic tools due to increasing adoption of cloud-native imaging workflow and enterprise AI analytic solutions by healthcare institutions in order to achieve greater scalability and operational efficiency. Increasing commercialization of precision medicine initiatives and automated diagnostic ecosystems will provide an impetus to the future growth of the market.

High implementation costs and complexity of regulations are two main limitations. Implementation of an enterprise-level AI-based imaging solution usually requires significant capital expenditure on computing hardware, cloud storage space, and cybersecurity measures, not to mention integration with existing hospital information systems, and additionally, regulatory clearance, validation of imaging algorithms, and cybersecurity standards create additional obstacles for implementation, especially in small hospitals and standalone imaging centers.

AI in Diagnostic Imaging Market Regional Analysis

The North American region had the largest market share of around 41.00% in 2025 due to its advanced healthcare IT infrastructure, fast commercialization of artificial intelligence imaging solutions, and high adoption rates of enterprise radiology automation software in the US and Canada. The U.S. region had the highest market share of around 92.00% in North America in 2025 owing to fast adoption of artificial intelligence radiology systems.

The U.S. AI in Diagnostic Imaging Market was valued at USD 1.10 Billion in 2025 and is expected to reach approximately USD 8.28 Billion by 2035, expanding at a CAGR of 25.13% during 2026-2035.

Europe AI in Diagnostic Imaging Market was estimated at USD 0.82 Billion in 2025 with around 28.00% of global share, and is projected to grow up to USD 6.22 Billion in 2035 with CAGR of 22.50% from 2026 to 2035. Growing adoption of AI-based diagnostic imaging solutions and healthcare digitalization drives growth. The contribution of Germany to Europe revenue stood at approximately 28.00% in 2025 amid booming investments in the development of precision radiology technologies in France and the UK.

Asia-Pacific is anticipated to witness highest CAGR of 27.45% during forecast period due to quick modernization of healthcare facilities and growth in volumes of diagnostic imaging procedures. In 2025, China contributed approximately 24.00% to the revenue share of region driven by increasing demand for cloud-based imaging analytics due to shortage of radiologists in China, Japan, South Korea, and India.

Middle East & Africa: The UAE accounted for approximately 4.00% of regional revenue in 2025, supported by increasing digitalization initiatives and rising investment in smart hospital infrastructure.

Latin America: Brazil accounted for approximately 3.00% of regional revenue in 2025, with the broader region holding close to 4.00% global market share amid growing adoption of digital healthcare technologies.

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AI in Diagnostic Imaging Market Segment Analysis

By Deployment Model: The On-Premises AI Solutions held a market share of about 52.00% in 2025, owing to preference among hospitals and integrated healthcare facilities that require secure imaging analytics infrastructure within their organization. The Cloud-based AI Platform is the fastest-growing segment at a CAGR of about 28.25%, due to increasing demand for remote imaging analytics.

By Imaging Modality: Computed Tomography held a market share of approximately 38.00% in 2025, backed by its wide application in the diagnostics process for oncology, cardiology, and neurology. X-Ray & Mammography is the highest growing modality, with a CAGR of approximately 24.86%, boosted by increasing usage in the diagnosis of breast cancer and lung diseases.

By Application: The market share held by Oncology Imaging is estimated to be about 42.00%, attributed to the fast rate at which the incidences of cancers have been increasing globally, and hence, the demand for early detection of the disease has also increased. Cardiology & Other Imaging Applications segment holds the highest CAGR of around 24.60%.

By End User: Hospitals & Health Systems held a market share of approximately 58.00% in 2025, owing to high imaging volumes and integrated diagnostics facilities. Diagnostic Imaging Centers are the leading fastest growing segments with a CAGR of approximately 25.24%, owing to AI-driven analytics at stand-alone centers.

AI in Diagnostic Imaging Market Key Trends

  • Rising adoption of AI-powered radiology workflow automation systems across healthcare facilities
  • Increasing commercialization of cloud-based diagnostic imaging analytics platforms
  • Growing deployment of AI-enabled oncology and cardiovascular imaging solutions globally
  • Expansion of smart hospital infrastructure integrated with predictive imaging technologies
  • Increasing integration of deep learning algorithms for automated disease detection and clinical decision support

Competitive Landscape

The AI in Diagnostic Imaging Market includes established imaging equipment manufacturers and specialized AI software developers, with competition centred on generative AI workflow tools and cloud-connected radiology platforms.

In 2026, GE HealthCare expanded commercialization of AI-enabled imaging workflow automation platforms integrated with predictive diagnostic analytics systems, while Siemens Healthineers introduced upgraded cloud-connected radiology AI software supporting automated image prioritization and clinical decision support. In 2025, Philips Healthcare accelerated deployment of AI-powered MRI workflow optimization technologies integrated with smart imaging analytics platforms, and Canon Medical Systems expanded its AI-assisted oncology imaging portfolio with advanced automated lesion detection and diagnostic reporting capabilities.

Major key players include

  • GE HealthCare
  • Siemens Healthineers AG
  • Koninklijke Philips N.V.
  • Canon Medical Systems Corporation
  • Fujifilm Holdings Corporation
  • IBM Corporation
  • NVIDIA Corporation
  • Aidoc Medical Ltd.
  • Arterys Inc.
  • Qure.ai Technologies Pvt. Ltd.
  • Zebra Medical Vision Ltd.
  • Viz.ai Inc.
  • Lunit Inc.
  • Infervision Medical Technology Co., Ltd.
  • PathAI Inc.
  • Agfa-Gevaert Group
  • Hologic Inc.
  • Samsung Medison Co., Ltd.
  • Riverain Technologies LLC
  • Subtle Medical Inc.

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