AI In Medical Imaging - Market Share Analysis, Industry Trends & Statistics, Growth Forecasts (2026 - 2031)

According to Mordor Intelligence, the AI in medical imaging market size market is expected to grow from USD 1.65 billion in 2025 to USD 2.16 billion in 2026 and is forecast to reach USD 8.23 billion by 2031 at 30.7% CAGR over 2026-2031.

This report is Segmented by Offering (Software Tools/Platform, Services and More), Imaging Modality (X-Ray, Computed Tomography, and More), Application (Oncology, Neurology and More), Deployment Model (On-Premise, Cloud / Web-Based and More), End User (Hospitals and Clinics, Diagnostic Imaging Centers and More), and Geography. The Market Forecasts are Provided in Terms of Value (USD).

Global AI In Medical Imaging Market Trends and Insights

Rapid expansion of multi-vendor PACS interoperability standards in U.S. and EU

Cross-border imaging exchange rules from the EU eHealth Network and upcoming U.S. interoperability provisions allow algorithms to read scans stored on any certified PACS. Early pilots using FHIR-based federated frameworks achieved 95% data-retrieval accuracy and cut latency by 38%, enabling faster triage in acute settings while maintaining data sovereignty

Accelerating oncology screening mandates in Asia (China, Japan, South Korea)

Government-funded programs are adding millions of extra CT and endoscopy exams each year. South Korea's national gastric-cancer initiative demonstrates favorable cost-utility ratios, and Japan now detects 70% of lung cancers at Stage I or II when AI flags incidental nodules.

Fragmented data-governance laws are hindering cross-border AI model training

The EU AI Act classifies diagnostic algorithms as high-risk, demanding rigorous conformity assessments. Divergent consent rules across Asia further limit the use of multi-country datasets, which in turn degrade model generalizability and slow down approvals, especially for rare-disease cohorts.

Other drivers and restraints analyzed in the detailed report include:

1. Large-scale national AI diagnostics grants
2. Growing shortage of radiologists boosting teleradiology adoption in Nordics & GCC
3. High per-scan inference costs on edge GPUs in low-volume clinics

For complete list of drivers and restraints, kindly check the Table Of Contents.

Segment Analysis

The software tools and platforms segment captured 57.30% of 2025 revenue, underlining its role as the operating layer for algorithm orchestration and lifecycle management across hospital networks. Services are adding value through workflow redesign and post-deployment monitoring and are forecast to post the fastest 31.4% CAGR during 2026-2031. Vendors now bundle implementation, clinical-validation and cybersecurity support, reflecting provider preference for turnkey engagements that minimize disruption. Edge-enabled appliances remain a niche but are gaining traction for stroke and trauma hubs where every second matters. Hospitals appreciate vendor-neutral marketplaces that host dozens of cleared algorithms behind a single sign-on. GE HealthCare's Genesis stack lets radiologists select applications a la carte and deploy updates without manual re-validation, lowering total cost of ownership and accelerating time-to-benefit GE HealthCare. Such architectures anchor the AI in medical imaging market and will shape procurement for the remainder of the decade.

CT retained 27.60% share of the AI in medical imaging market in 2025 thanks to its ubiquity in trauma, chest and neuro protocols. Algorithmic triage in stroke care is now standard in many urban stroke centers, shrinking door-to-needle times. Photon-counting CT, newly commercialized, promises sharper cardiac images, opening fertile ground for next-generation models. Ultrasound is projected to outpace all other modalities with a 31.0% CAGR through 2031. Hand-held probes paired with real-time AI guidance help emergency staff locate internal bleeding and assist midwives in fetal-growth checks. The portability of modern devices increases scan frequency, feeding ever larger datasets into training pipelines. MRI and PET continue to see algorithmic gains in noise reduction and quantitative mapping, yet their growth remains tied to scanner throughput constraints and reimbursement complexities.

Complete Report Scope:

• By Offering
  • Software Tools / Platforms
  • Services
  • Hardware / Integrated Solutions
• By Imaging Modality
  • X-ray
  • Computed Tomography (CT)
  • Magnetic Resonance Imaging (MRI)
  • Ultrasound
  • Positron Emission Tomography (PET) / SPECT
• By Application
  • Oncology
  • Neurology
  • Cardiology
  • Musculoskeletal and Orthopedics
  • Breast Imaging
  • Pulmonology
• By Deployment Model
  • On-premise
  • Cloud / Web-based
  • Hybrid
• By End User
  • Hospitals and Clinics
  • Diagnostic Imaging Centers
  • Ambulatory Surgery Centers (ASC)
  • Research and Academic Institutes
  • Teleradiology Providers
• By Geography
  • North America
    • United States
    • Canada
  • South America
    • Brazil
    • Argentina
    • Chile
  • Europe
    • Germany
    • France
    • United Kingdom
    • Italy
    • Spain
    • Nordics (Sweden, Norway, Finland, Denmark)
    • Rest of Europe
  • Middle East
    • Saudi Arabia
    • United Arab Emirates
    • Turkey
    • Rest of Middle East
  • Africa
    • South Africa
    • Nigeria
    • Rest of Africa
  • Asia Pacific
    • China
    • India
    • Japan
    • South Korea
    • Southeast Asia
    • Rest of Asia Pacific

Geography Analysis

North America led the AI in medical imaging market with 40.60% share in 2025. Robust health IT infrastructure, proactive FDA clearances and reimbursement pathways bolster adoption. Integrated Delivery Networks rapidly migrate archives to the cloud to pool radiologists and unlock predictive analytics. Canada's fresh approval of chest and neuro AI applications signals wider regional uptake. Asia is the fastest-growing geography, projected at 32.5% CAGR to 2031. China counts dozens of homegrown cleared devices, and Japan funds nationwide lung-cancer screening that leans heavily on AI triage. South Korea's national programs display cost-effectiveness that encourages similar rollouts. India advances TB-focused tools for low-resource clinics, highlighting the versatility of AI across income brackets. Europe balances opportunity and caution. The Medical Devices Regulation heightens compliance requirements, yet pan-EU image-exchange guidelines unlock a broader data pool that benefits algorithm robustness. The Nordics pioneer teleradiology to serve remote regions, while France embarks on long-term imaging-value partnerships that incorporate sustainability clauses and research funding.

1. Siemens Healthineers AG
2. GE HealthCare Technologies Inc.
3. Koninklijke Philips N.V.
4. IBM Watson Health / Merative
5. NVIDIA Corporation
6. Canon Medical Systems Corp.
7. Fujifilm Holdings Corp.
8. Agfa-Gevaert Group
9. Zebra Medical Vision (Nanox AI)
10. Lunit Inc.
11. Aidoc Medical Ltd.
12. Arterys Inc.
13. Enlitic Inc.
14. Qure.ai Technologies Pvt. Ltd.
15. iCAD Inc.
16. Sectra AB
17. Visage Imaging GmbH
18. Butterfly Network, Inc.
19. EchoNous, Inc.
20. Oxipit UAB
21. RapidAI, Inc.

Additional Benefits:

• The market estimate (ME) sheet in Excel format
• 3 months of analyst support