AI in Radiology Market Size, Share, Regional Growth, 2026-2034

Market Overview

According to fortune business insights, The global AI in radiology market size was valued at USD 518.1 million in 2025. The market is projected to grow from USD 600.8 million in 2026 to USD 3,227.1 million by 2034, exhibiting a robust CAGR of 23.38% during the forecast period. North America dominated the AI in radiology market, holding a valuation of USD 230.3 million in 2025.

AI in radiology involves employing artificial intelligence—mainly through computer vision/deep learning and natural language processing—to analyze medical images and radiology information in standard clinical practices. It aids radiologists by enhancing the detection and prioritization of critical findings, facilitating consistent lesion segmentation, and expediting reporting. The analysis shows that market growth is driven by increasing imaging volumes across CT, X-ray, MRI, ultrasound, and mammography, coupled with ongoing shortages of radiologists. Additionally, integrating AI with PACS/RIS and cloud platforms is establishing a major market trend. For example, in January 2026, Konica Minolta Healthcare partnered with deepc to bring AI to the Exa Platform, enabling connectivity between deepc’s AI operating system and Konica Minolta’s platform.

Major Players Profiled in the Market Report:

• Siemens Healthineers AG (Germany)

• General Electric Company (GE HealthCare) (U.S.)

• Koninklijke Philips N.V. (Netherlands)

• Aidoc (Israel)

• Rad AI (U.S.)

• Viz.ai, Inc. (U.S.)

• iSchemaView, Inc. (RapidAI) (U.S.)

• Qure.ai (India)

• deepc GmbH (Germany)

• Lunit Inc. (South Korea)

Segments

Increasing Demand from Hospitals to Propel Software Segment Growth

Based on component, the market is divided into software and services. The software segment captures the largest market share as hospitals and imaging networks prefer software subscriptions. This allows them to scale across modalities and sites without adding proportional headcount while receiving frequent model updates and new modules.

High Number of Installations Supported the On-Premise Segmental Dominance

By deployment, the market is divided into on-premise, cloud-based, and hybrid. The on-premise segment held the largest share in 2025 as hospitals favor keeping sensitive radiology data within their network for cybersecurity, data management, and seamless integration with their current legacy IT infrastructure.

Advantages in Complex Visual Patterns to Boost Computer Vision/Deep Learning Growth

In terms of technology, the market is segmented into computer vision/deep learning, natural language processing, and others. The computer vision/deep learning segment dominates because it delivers immediate operational ROI by enabling triage, prioritization, and standardized interpretation of complex visual patterns (e.g., subtle bleeds, nodules, fractures).

Generation of Large Study Volumes to Boost CT Scan Segmental Growth

By modality, the market is divided into CT scan, MRI, X-ray, ultrasound, mammography, and others. The CT scan segment captures the highest share as it is the workhorse modality for acute, high-stakes conditions (stroke, head trauma, pulmonary embolism). AI-driven triage in these settings delivers immediate clinical and operational value.

High Usage in Clinical Workloads to Boost Diagnosis & Characterization Segment Growth

Based on application, the market is divided into screening & early detection, diagnosis & characterization, quantification, monitoring & follow-up, and others. The diagnosis & characterization segment holds the highest share as it maps to the largest day-to-day clinical workload, helping radiologists identify findings, characterize lesions, and decide next steps.

High Utilization in Acute Care to Support Hospitals & ASCs Segment’s Leading Position

Based on end user, the market is segmented into hospitals & ASCs, diagnostic imaging centers, academic & research institutes, and others. Hospitals & ASCs lead the market as they control the largest share of high-acuity imaging volumes where AI triage and decision support provide measurable operational ROI.

Report Coverage

The report offers:

• Extensive examination of the market size and projections for all market segments.

• Information on market dynamics, trends, and opportunities anticipated to propel the market.

• Insights into crucial elements, such as product innovations, the regulatory landscape, and new product introductions.

• Details on collaborations, mergers & acquisitions, and significant industry advancements.

• A comprehensive competitive landscape with details on market share and profiles of major active participants.

Source: https://www.fortunebusinessinsights.com/ai-in-radiology-market-115732

Drivers & Restraints

Rapid Growth in Imaging Volumes and Shortage of Radiologists Propels Market Growth

The swift increase in daily imaging volumes, combined with an expanding shortage of radiologists, is driving health systems to adopt AI. By prioritizing critical cases, automating assessments, and standardizing documentation, AI allows radiology departments to manage heavier workloads, reduce bottlenecks, and lower the risk of physician burnout without needing a proportional rise in personnel.

However, data privacy and interoperability concerns serve as significant restraints. Moving sensitive DICOM images across systems increases breach risks and regulatory exposure. Furthermore, significant implementation expenses and the necessity for robust IT infrastructure pose major obstacles for smaller/rural hospitals, often restricting their AI adoption to basic software rather than enterprise-wide solutions.

Regional Insights

High Imaging Volumes and Mature Infrastructure Propel Market Growth in North America

North America holds the dominant AI in radiology market share, driven by high imaging volumes in emergency and chronic care, strong reimbursement pathways, and highly mature cloud and cybersecurity infrastructures across U.S. hospital networks.

Europe follows a steady growth trajectory, supported by increasing population screening programs and a focus on reducing diagnostic backlogs. Asia Pacific is the third-largest region and is projected to experience rapid expansion due to growing imaging capacity and the aggressive expansion of private hospital chains in countries like China, India, and Japan.

AI in Radiology Market Future Growth:

The AI in radiology market is poised for explosive growth, driven by rising investments from hyperscale cloud companies (like AWS and Microsoft) and major healthcare IT vendors. The future lies in cloud-native enterprise imaging platforms that eliminate the need for heavy on-site IT infrastructure. By embedding AI natively into PACS/RIS and deploying it via the cloud, healthcare providers will overcome current scalability and interoperability bottlenecks. This transition will facilitate broader algorithm reach, continuous model updates, centralized governance, and a shift toward massive multi-site, enterprise-wide AI software subscriptions.

Competitive Landscape

Platform-led Strategies and PACS/RIS Integration to Strengthen Market Share

The market features a semi-consolidated structure led by major imaging giants like GE HealthCare, Siemens Healthineers, Koninklijke Philips N.V., and Canon Medical, alongside specialized AI vendors like Aidoc, Viz.ai, and RapidAI. These prominent players are strengthening their positions through platform-led strategies—embedding AI directly into PACS/RIS and enterprise imaging stacks. Their proactive focus on securing FDA clearances, expanding AI application suites, and pursuing strategic acquisitions (e.g., GE acquiring Intelerad) continues to fuel market dominance.

Key Industry Development

• February 2026: GE HealthCare announced a USD 35 million expansion with BARDA to advance AI-powered ultrasound for trauma care and emergency preparedness.

• January 2026: Bristol Myers Squibb partnered with Microsoft to advance AI-driven early detection of lung cancer, deploying FDA-cleared radiology AI algorithms via Microsoft’s Precision Imaging Network.

• January 2026: Aidoc announced U.S. FDA clearance for a comprehensive AI triage solution powered by its CARE foundation model.