AI-Enabled Medical Imaging Solutions Market to Reach $33.76B by 2033 North America Leads with 38% Share Key Players: Aidoc, Infervision, Qure.ai, Brainomix, DeepTek, Rad AI

Market Overview

The global AI-enabled medical imaging solutions market reached US$ 10.63 Billion in 2024 and is projected to reach US$ 33.76 Billion by 2033, growing at a robust CAGR of 13.8% during the forecast period 2025-2033. The market has witnessed rapid growth in recent years, increasing from US$ 1,944.27 Million in 2022 to US$ 2,257.29 Million in 2023, reflecting rising adoption of AI technologies in healthcare diagnostics.

Get a Free Sample PDF Of This Report (Get Higher Priority for Corporate Email ID):-https://www.datamintelligence.com/download-sample/ai-enabled-medical-imaging-solutions-market?Juli

AI-enabled medical imaging solutions integrate artificial intelligence (AI) into medical imaging workflows to enhance image acquisition, processing, analysis, interpretation, and reporting. These solutions leverage advanced algorithms, including machine learning, deep learning, natural language processing, and computer vision, to automate routine imaging tasks, improve diagnostic accuracy, and provide clinical decision support. Key applications include image enhancement, segmentation, detection of anomalies, predictive analytics, and workflow optimization, enabling radiologists to focus on complex diagnostic tasks and improving patient care efficiency.

The growing market demand is driven by technological advancements, increasing global healthcare needs, rising prevalence of chronic diseases, and a growing preference for AI-assisted radiology solutions. For instance, a majority of FDA-cleared AI algorithms target radiology, with 75% of the over 500 cleared tools focused on radiology practice, up from 70% in previous years, highlighting the increasing reliance on AI for medical imaging workflows.

United States: Recent Industry Developments:

✅ February 2026 - United States: GE HealthCare launched its AI-powered Revolution Apex CT scanner with integrated deep-learning image reconstruction, improving diagnostic accuracy and reducing scan times in hospitals and imaging centers.

✅ December 2025 - Europe: Siemens Healthineers introduced the AI-Assist syngo.via platform for multi-modality imaging, enabling automated lesion detection and quantification for oncology and cardiovascular applications.

✅ October 2025 - Asia-Pacific: Philips Healthcare unveiled the IntelliSpace Portal 14 with AI-enhanced analytics for CT, MRI, and PET imaging, facilitating real-time clinical decision support in leading hospitals across Japan, India, and Australia.

✅ August 2025 - North America: Canon Medical Systems expanded its Advanced AI-EX platform for digital X-ray and CT imaging, integrating automated workflow optimization and predictive diagnostics in major U.S. healthcare networks.

✅ June 2025 - Global: A major AI health-tech provider launched a cloud-based imaging analytics platform with machine learning algorithms for automated detection of fractures, lung nodules, and cardiovascular abnormalities, enabling remote diagnostics and multi-site collaboration.

Buy Now & Unlock 360° Market Intelligence:-https://www.datamintelligence.com/buy-now-page?report=ai-enabled-medical-imaging-solutions-market?Juli

Key Players:

Aidoc holds an estimated 17% share of the global market. The company is a leader in real-time AI-powered imaging solutions, specializing in automated detection of critical abnormalities such as intracranial hemorrhages, pulmonary embolisms, and spinal fractures, helping radiologists prioritize urgent cases.

Infervision accounts for approximately 15% of the market, offering deep-learning platforms for thoracic, cardiovascular, and oncology imaging, with widespread adoption across hospitals and diagnostic centers in China, Europe, and North America.

Qure.ai Technologies Private Limited contributes around 12% of the market, driven by its AI solutions for chest X-rays and CT scans, enabling rapid triage, tuberculosis screening, and automated reporting in high-volume clinical environments.

Brainomix Limited holds roughly 8%, focusing on neuroimaging for stroke and brain injury assessment. Its AI algorithms enable rapid detection of ischemic strokes and intracranial hemorrhages, supporting timely intervention in emergency settings.

DeepTek.ai, Inc. and Rad AI together represent about 10%, offering workflow automation tools and AI-assisted reporting solutions that improve diagnostic efficiency across multiple imaging modalities, including musculoskeletal, chest, and abdominal scans.

deepc GmbH, Tempus AI, Rayscape, and AIKENIST account for the remaining 8%, providing specialized AI imaging solutions for niche applications such as oncology, cardiovascular imaging, and emergency care, with a focus on cloud integration, predictive analytics, and small-to-mid sized hospital adoption.

Market Segmentation:

By Imaging Modality: The CT Imaging segment dominates with approximately 35% share, driven by high adoption of AI for stroke detection, oncology imaging, and cardiovascular assessments. MRI Imaging follows with around 25%, benefitting from AI-assisted lesion segmentation and advanced tissue characterization. X-ray and Ultrasound Imaging collectively hold 20%, supported by AI tools for fracture detection, chest diagnostics, and point-of-care imaging. PET and SPECT imaging account for roughly 10%, while Other Modalities such as mammography and fluoroscopy represent the remaining 10% of the market.

By Deployment Mode: On-Premise deployment leads with 55% share, preferred by large hospitals and imaging centers for data security, integration with existing PACS systems, and real-time workflow control. Cloud-based solutions are growing rapidly at 45%, enabling remote diagnostics, multi-site collaboration, and AI-powered analytics for smaller hospitals and teleradiology providers.

By Application: Oncology imaging is the largest application segment, capturing 30%, driven by AI-assisted tumor detection, segmentation, and treatment planning. Cardiovascular imaging holds 20%, with AI aiding in stenosis detection, plaque quantification, and risk stratification. Neurology and Stroke imaging account for 18%, leveraging AI for rapid ischemic stroke identification and intracranial hemorrhage detection. Musculoskeletal and Fracture diagnostics contribute 12%, Pulmonary imaging holds 10%, and Other applications such as abdominal, gastrointestinal, and cosmetic imaging comprise 10% of the market.

By End-User: Hospitals dominate with 50% share, owing to high patient volumes, complex cases, and investment capacity for AI-integrated imaging platforms. Diagnostic Imaging Centers hold 25%, leveraging AI to optimize workflow and improve reporting accuracy. Teleradiology Providers capture 15%, benefiting from cloud-based AI solutions that enable remote interpretation and multi-site collaboration. Research & Academic Institutions account for the remaining 10%, using AI imaging solutions for clinical trials, algorithm validation, and advanced medical research.

Speak to Our Analyst and Get Customization in the report as per your requirements:-https://www.datamintelligence.com/customize/ai-enabled-medical-imaging-solutions-market?Juli

Regional Insights:

North America dominates the global AI-enabled medical imaging solutions market with approximately 38% share in 2024. The region benefits from advanced healthcare infrastructure, early adoption of AI in radiology, high investment in digital health technologies, and strong presence of key market players such as Siemens Healthineers, GE Healthcare, and Aidoc. The U.S., in particular, leads due to rising demand for AI-assisted stroke detection, oncology imaging, and cardiovascular diagnostics, along with favorable reimbursement policies and regulatory approvals for AI solutions.

Europe accounts for around 28%, driven by growing adoption of AI in hospitals, research institutions, and diagnostic centers. Countries such as Germany, the U.K., and France are investing heavily in AI-integrated imaging systems for oncology, neurology, and cardiovascular care. Strong government support, increasing AI awareness, and the presence of key players like Philips and Brainomix contribute to regional growth.

Asia-Pacific represents roughly 22% of the market, fueled by increasing healthcare infrastructure investments, expanding teleradiology services, and rising prevalence of chronic diseases. Nations like China, India, Japan, and South Korea are witnessing rapid adoption of AI in imaging modalities such as X-ray, CT, and MRI. Emerging markets show significant growth potential due to a large patient pool and increasing adoption of cloud-based AI solutions.

Market Dynamics:

Driver: Rising Aging Population Significantly Boosts Market Growth
The global increase in the elderly population is a major driver for AI-enabled medical imaging solutions. Age-related conditions such as cancer, cardiovascular diseases, neurodegenerative disorders, and musculoskeletal issues require frequent monitoring, early detection, and precise diagnosis. AI-powered imaging solutions can efficiently prioritize, analyze, and interpret complex medical images, improving diagnostic accuracy and patient outcomes.

By 2030, 1 in 6 people worldwide will be aged 60 years or older, increasing from 1 billion in 2020 to 1.4 billion. By 2050, the population aged 60+ will double to 2.1 billion, and those aged 80+ are projected to triple to 426 million. Elderly patients often have multiple chronic conditions nearly 95% have at least one, and 80% have two or more further highlighting the need for AI-enabled imaging. Early cancer detection using AI, including for breast, lung, and prostate cancers, also underscores the importance of these solutions in aging populations.

Restraint: Data Privacy and Security Concerns Hampering Market Growth
Data privacy and security concerns present a significant restraint on market adoption. Medical imaging data such as CT scans, MRI scans, and X-rays contains sensitive personal health information, which is often transmitted over networks or stored in cloud-based systems for AI processing, making it vulnerable to unauthorized access and cyberattacks.

Healthcare data breaches continue to rise. For instance, in January 2025, 3,121,358 individuals were affected by healthcare data breaches, 2,277,555 in February, and 1,754,097 in March. Compromised patient data not only threatens individual privacy but also damages the reputation of healthcare providers and AI vendors, reducing trust and adoption of AI-enabled medical imaging solutions.

📌 Request for 2 Days FREE Trial Access: https://www.datamintelligence.com/reports-subscription

☛ Power your decisions with real-time competitor tracking, strategic forecasts, and global investment insights all in one place.

✅ Competitive Landscape

✅ Sustainability Impact Analysis

✅ KOL / Stakeholder Insights

✅ Unmet Needs & Positioning, Pricing & Market Access Snapshots

✅ Market Volatility & Emerging Risks Analysis

✅ Quarterly Industry Report Updated

✅ Live Market & Pricing Trends

✅ Import-Export Data Monitoring
☛ Have a look at our Subscription Dashboard: https://www.youtube.com/watch?v=x5oEiqEqTWg?Juli

Contact Us -
Company Name: DataM Intelligence
Contact Person: Sai Kiran
Email: Sai.k@datamintelligence.com
Phone: +1 877 441 4866
Website: https://www.datamintelligence.com

About Us -
DataM Intelligence is a Market Research and Consulting firm that provides end-to-end business solutions to organizations from Research to Consulting. We, at DataM Intelligence, leverage our top trademark trends, insights and developments to emancipate swift and astute solutions to clients like you. We encompass a multitude of syndicate reports and customized reports with a robust methodology.

Our research database features countless statistics and in-depth analyses across a wide range of 6300+ reports in 40+ domains creating business solutions for more than 200+ companies across 50+ countries; catering to the key business research needs that influence the growth trajectory of our vast clientele.

This release was published on openPR.