Global Artificial Intelligence (AI) in Medical Imaging Market Size study & Forecast, by Technology, Clinical Application, Modalities, End-user, and Regional Forecasts 2025-2035

Description

The Global Artificial Intelligence (AI) in Medical Imaging Market is valued at approximately USD 2.35 billion in 2024 and is expected to surge at a robust CAGR of 30.50% over the forecast period 2025-2035. The integration of AI into medical imaging has reshaped the diagnostic landscape, enabling unprecedented advancements in accuracy, speed, and data interpretation. From detecting subtle anomalies in radiological scans to enabling predictive analytics that forecast disease progression, AI has moved beyond supportive tools to become a central component in modern diagnostic workflows. As healthcare providers pivot toward more precise and value-based care, the adoption of AI-powered imaging solutions is rapidly gaining traction, fueled by technological innovations, vast data availability, and an urgent need to reduce diagnostic errors and improve clinical outcomes.

The meteoric rise of this market can be attributed to the confluence of several transformative drivers, most notably the proliferation of deep learning and computer vision algorithms that can autonomously analyze complex image data with minimal human oversight. AI solutions are being deployed to streamline imaging diagnostics across critical care domains, including neurology, oncology, and digital pathology. For example, machine learning models now detect brain hemorrhages, tumors, and vascular abnormalities in MRI and CT scans with high precision, expediting treatment decisions in time-sensitive emergencies. The market is also being catalyzed by the increasing workload on radiologists, which has compelled healthcare systems to embrace AI-based augmentation for faster, more reliable interpretation of imaging results, while simultaneously curbing operational costs.

Regionally, North America is expected to retain its dominance due to early technology adoption, mature healthcare infrastructure, and a thriving ecosystem of AI startups and research institutions. The United States leads the charge with major initiatives in AI-based clinical trials, regulatory approvals, and reimbursement strategies that promote the integration of advanced imaging technologies. Europe follows closely, with significant AI deployments in public healthcare systems and cross-border collaborative research initiatives. Meanwhile, Asia Pacific is anticipated to grow at the fastest rate during the forecast timeline, propelled by rapid healthcare digitalization, expanding middle-class healthcare access, and heavy investments in AI infrastructure across countries like China, India, and Japan. Moreover, supportive policy frameworks and AI adoption in teleradiology services across rural areas are unlocking new growth avenues in the region.

Major market player included in this report are:

Siemens Healthineers
Aidoc
GE HealthCare
IBM Watson Health
Google Health (Alphabet Inc.)
Zebra Medical Vision
Canon Medical Systems Corporation
NVIDIA Corporation
Fujifilm Holdings Corporation
Philips Healthcare
Lunit Inc.
Arterys Inc.
Tempus Labs
Qure.ai
Microsoft Corporation

Global Artificial Intelligence (AI) in Medical Imaging Market Report Scope:

Historical Data - 2023, 2024
Base Year for Estimation - 2024
Forecast period - 2025-2035
Report Coverage - Revenue forecast, Company Ranking, Competitive Landscape, Growth factors, and Trends
Regional Scope - North America; Europe; Asia Pacific; Latin America; Middle East & Africa
Customization Scope - Free report customization (equivalent up to 8 analysts' working hours) with purchase. Addition or alteration to country, regional & segment scope*

The objective of the study is to define market sizes of different segments & countries in recent years and to forecast the values for the coming years. The report is designed to incorporate both qualitative and quantitative aspects of the industry within the countries involved in the study. The report also provides detailed information about crucial aspects, such as driving factors and challenges, which will define the future growth of the market. Additionally, it incorporates potential opportunities in micro-markets for stakeholders to invest, along with a detailed analysis of the competitive landscape and product offerings of key players. The detailed segments and sub-segments of the market are explained below:

By Technology:

Deep Learning
Machine Learning
Computer Vision

By Clinical Application:

Neurology
Digital Pathology

By Modalities:

X-ray
CT
MRI
Ultrasound

By End-user:

Hospitals
Clinics

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
Rest of Europe
Asia Pacific
China
India
Japan
Australia
South Korea
Rest of Asia Pacific
Latin America
Brazil
Mexico
Middle East & Africa
UAE
Saudi Arabia
South Africa
Rest of Middle East & Africa

Key Takeaways:

Market Estimates & Forecast for 10 years from 2025 to 2035.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global AI in Medical Imaging Market Report Scope & Methodology

1.1. Research Objective
1.2. Research Methodology
- 1.2.1. Forecast Model
- 1.2.2. Desk Research
- 1.2.3. Top Down and Bottom-Up Approach
1.3. Research Attributes
1.4. Scope of the Study
- 1.4.1. Market Definition
- 1.4.2. Market Segmentation
1.5. Research Assumption
- 1.5.1. Inclusion & Exclusion
- 1.5.2. Limitations
- 1.5.3. Years Considered for the Study

Chapter 2. Executive Summary

2.1. CEO/CXO Standpoint
2.2. Strategic Insights
2.3. ESG Analysis
2.4. Key Findings

Chapter 3. Global AI in Medical Imaging Market Forces Analysis

3.1. Market Forces Shaping the Global AI in Medical Imaging Market (2024-2035)
3.2. Drivers
- 3.2.1. Proliferation of Advanced Deep Learning & Computer Vision Algorithms
- 3.2.2. Rising Volume of Medical Imaging Data & Need for Automated Analysis
3.3. Restraints
- 3.3.1. High Implementation Costs & Infrastructure Requirements
- 3.3.2. Stringent Regulatory Approval Processes
3.4. Opportunities
- 3.4.1. Integration with Telehealth and Remote Diagnostic Solutions
- 3.4.2. Expansion into Emerging Markets with Growing Healthcare Expenditure

Chapter 4. Global AI in Medical Imaging Industry Analysis

4.1. Porter's Five Forces Model
- 4.1.1. Bargaining Power of Buyers
- 4.1.2. Bargaining Power of Suppliers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
4.2. Porter's Five Forces Forecast Model (2024-2035)
4.3. PESTEL Analysis
- 4.3.1. Political
- 4.3.2. Economic
- 4.3.3. Social
- 4.3.4. Technological
- 4.3.5. Environmental
- 4.3.6. Legal
4.4. Top Investment Opportunities
4.5. Top Winning Strategies (2025)
4.6. Market Share Analysis (2024-2025)
4.7. Global Pricing Analysis and Trends 2025
4.8. Analyst Recommendations & Conclusion

Chapter 5. Global AI in Medical Imaging Market Size & Forecasts by Technology 2025-2035

5.1. Market Overview
5.2. Deep Learning
- 5.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.2.2. Market Size Analysis, by Region, 2025-2035
5.3. Machine Learning
- 5.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.3.2. Market Size Analysis, by Region, 2025-2035
5.4. Computer Vision
- 5.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 5.4.2. Market Size Analysis, by Region, 2025-2035

Chapter 6. Global AI in Medical Imaging Market Size & Forecasts by Clinical Application 2025-2035

6.1. Market Overview
6.2. Neurology
- 6.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.2.2. Market Size Analysis, by Region, 2025-2035
6.3. Digital Pathology
- 6.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 6.3.2. Market Size Analysis, by Region, 2025-2035

Chapter 7. Global AI in Medical Imaging Market Size & Forecasts by Modalities 2025-2035

7.1. Market Overview
7.2. X-ray
- 7.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.2.2. Market Size Analysis, by Region, 2025-2035
7.3. CT
- 7.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.3.2. Market Size Analysis, by Region, 2025-2035
7.4. MRI
- 7.4.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.4.2. Market Size Analysis, by Region, 2025-2035
7.5. Ultrasound
- 7.5.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 7.5.2. Market Size Analysis, by Region, 2025-2035

Chapter 8. Global AI in Medical Imaging Market Size & Forecasts by End-User 2025-2035

8.1. Market Overview
8.2. Hospitals
- 8.2.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.2.2. Market Size Analysis, by Region, 2025-2035
8.3. Clinics
- 8.3.1. Top Countries Breakdown Estimates & Forecasts, 2024-2035
- 8.3.2. Market Size Analysis, by Region, 2025-2035

Chapter 9. Global AI in Medical Imaging Market Size & Forecasts by Region 2025-2035

9.1. Growth Snapshot, Regional Market
9.2. Top Leading & Emerging Countries
9.3. North America AI in Medical Imaging Market
- 9.3.1. U.S. AI in Medical Imaging Market
  - 9.3.1.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.3.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.3.2. Canada AI in Medical Imaging Market
  - 9.3.2.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.3.2.2. Application Breakdown Size & Forecasts, 2025-2035
9.4. Europe AI in Medical Imaging Market
- 9.4.1. UK AI in Medical Imaging Market
  - 9.4.1.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.4.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.2. Germany AI in Medical Imaging Market
  - 9.4.2.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.4.2.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.3. France AI in Medical Imaging Market
  - 9.4.3.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.4.3.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.4. Spain AI in Medical Imaging Market
  - 9.4.4.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.4.4.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.5. Italy AI in Medical Imaging Market
  - 9.4.5.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.4.5.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.4.6. Rest of Europe AI in Medical Imaging Market
  - 9.4.6.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.4.6.2. Application Breakdown Size & Forecasts, 2025-2035
9.5. Asia Pacific AI in Medical Imaging Market
- 9.5.1. China AI in Medical Imaging Market
  - 9.5.1.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.5.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.2. India AI in Medical Imaging Market
  - 9.5.2.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.5.2.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.3. Japan AI in Medical Imaging Market
  - 9.5.3.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.5.3.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.4. Australia AI in Medical Imaging Market
  - 9.5.4.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.5.4.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.5. South Korea AI in Medical Imaging Market
  - 9.5.5.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.5.5.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.5.6. Rest of Asia Pacific AI in Medical Imaging Market
  - 9.5.6.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.5.6.2. Application Breakdown Size & Forecasts, 2025-2035
9.6. Latin America AI in Medical Imaging Market
- 9.6.1. Brazil AI in Medical Imaging Market
  - 9.6.1.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.6.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.6.2. Mexico AI in Medical Imaging Market
  - 9.6.2.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.6.2.2. Application Breakdown Size & Forecasts, 2025-2035
9.7. Middle East & Africa AI in Medical Imaging Market
- 9.7.1. UAE AI in Medical Imaging Market
  - 9.7.1.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.7.1.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.7.2. Saudi Arabia AI in Medical Imaging Market
  - 9.7.2.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.7.2.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.7.3. South Africa AI in Medical Imaging Market
  - 9.7.3.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.7.3.2. Application Breakdown Size & Forecasts, 2025-2035
- 9.7.4. Rest of Middle East & Africa AI in Medical Imaging Market
  - 9.7.4.1. Technology Breakdown Size & Forecasts, 2025-2035
  - 9.7.4.2. Application Breakdown Size & Forecasts, 2025-2035

Chapter 10. Competitive Intelligence

10.1. Top Market Strategies
10.2. Siemens Healthineers
- 10.2.1. Company Overview
- 10.2.2. Key Executives
- 10.2.3. Company Snapshot
- 10.2.4. Financial Performance (Subject to Data Availability)
- 10.2.5. Product/Services Portfolio
- 10.2.6. Recent Development
- 10.2.7. Market Strategies
- 10.2.8. SWOT Analysis
10.3. Aidoc
10.4. GE HealthCare
10.5. IBM Watson Health
10.6. Google Health (Alphabet Inc.)
10.7. Zebra Medical Vision
10.8. Canon Medical Systems Corporation
10.9. NVIDIA Corporation
10.10. Fujifilm Holdings Corporation
10.11. Philips Healthcare
10.12. Lunit Inc.
10.13. Arterys Inc.
10.14. Tempus Labs
10.15. Qure.ai
10.16. Microsoft Corporation