Artificial Intelligence (AI)-assisted Radiology - Global Strategic Business Report

The global market for Artificial Intelligence (AI)-assisted Radiology was estimated at US$2.3 Billion in 2024 and is projected to reach US$13.0 Billion by 2030, growing at a CAGR of 33.8% from 2024 to 2030. This comprehensive report provides an in-depth analysis of market trends, drivers, and forecasts, helping you make informed business decisions. The report includes the most recent global tariff developments and how they impact the Artificial Intelligence (AI)-assisted Radiology market.

Global Artificial Intelligence (AI)-Assisted Radiology Market - Key Trends & Drivers Summarized

Is AI Transforming the Role of Radiologists in Diagnostic Medicine?

The adoption of AI in radiology is accelerating due to its ability to dramatically enhance diagnostic accuracy and clinical workflow efficiency. In overburdened healthcare systems, radiologists often face the challenge of reviewing thousands of images daily, increasing the risk of diagnostic errors and burnout. AI systems help alleviate this burden by automatically triaging studies based on urgency, flagging abnormalities, and even identifying incidental findings that may otherwise be missed. For instance, AI algorithms can detect lung nodules, brain bleeds, or bone fractures in seconds, helping ensure that critical findings are not delayed in the reading queue. Beyond flagging abnormalities, AI can quantify imaging biomarkers, measure lesion dimensions, and track treatment responses with high precision, adding valuable context to clinical decisions. Workflow optimization is another key benefit AI tools can pre-populate reports, retrieve relevant patient history, and streamline image retrieval, allowing radiologists to focus more on interpretation and clinical consultation. In multidisciplinary care settings, AI facilitates better communication between radiologists, oncologists, surgeons, and primary care physicians by standardizing image analysis and improving data sharing. Furthermore, as reimbursement models shift toward value-based care, hospitals and clinics are under pressure to demonstrate outcomes. AI supports this by reducing unnecessary imaging, shortening diagnosis timelines, and improving consistency across radiologists. These operational and diagnostic benefits are not only elevating the standard of care but also strengthening the case for AI as a strategic tool in modern radiology departments.

Can AI Widen Access to Radiology Services in Underserved Regions?

A major transformative potential of AI-assisted radiology lies in its ability to bridge the diagnostic gap in regions with limited access to skilled radiologists and imaging infrastructure. In many parts of the world, particularly rural and low-resource settings, there is a severe shortage of radiology professionals, leading to delayed diagnoses and compromised patient outcomes. AI tools can help fill this void by enabling non-specialists to perform preliminary image evaluations and by supporting teleradiology networks that connect local clinics with centralized AI platforms. These systems can pre-screen scans and highlight findings for review by remote radiologists, ensuring that critical cases receive timely attention. Portable imaging devices paired with AI analysis are also making it feasible to deliver basic diagnostic services in the field or at the point of care. In settings where internet connectivity is unreliable, edge AI devices are emerging as a viable solution, allowing offline image processing without the need for constant cloud access. Moreover, AI models are being trained on diverse global datasets to improve their generalizability and reduce bias, ensuring that their performance remains robust across different populations and imaging modalities. International health organizations and governments are beginning to invest in AI radiology initiatives as part of broader efforts to digitize and decentralize healthcare. By automating core diagnostic tasks and enabling remote collaboration, AI is becoming a catalyst for expanding the reach and equity of radiology services, particularly in environments where human expertise is scarce.

What Are the Key Forces Fueling Global Growth in AI-Assisted Radiology?

The growth in the artificial intelligence (AI)-assisted radiology market is driven by a confluence of technological, clinical, and institutional dynamics that reflect the evolving demands of modern healthcare. One of the primary drivers is the rapid advancement of AI models, particularly convolutional neural networks (CNNs) and transformers, which have dramatically improved the accuracy of image recognition and classification tasks. The growing availability of large, annotated medical imaging datasets has been essential in training and validating these models. At the same time, improvements in computational infrastructure especially in cloud and edge computing have made it easier to deploy AI tools in clinical settings without the need for extensive IT overhauls. Another major factor is the increasing burden of chronic diseases such as cancer, cardiovascular disorders, and neurological conditions, which require continuous imaging for diagnosis and treatment monitoring. AI enhances the capacity of radiology departments to manage this rising demand without proportionally increasing manpower. Regulatory momentum is also contributing to market growth; with several AI-based radiology tools already approved by agencies such as the FDA and CE, the pathway to clinical adoption is becoming clearer. Hospitals and imaging centers are motivated to adopt AI not only for its diagnostic utility but also to gain a competitive edge, improve patient satisfaction, and align with digital transformation initiatives. Investment from venture capital, health tech companies, and academic institutions is further accelerating innovation in the space. Together, these forces are creating a robust and rapidly expanding global market for AI-assisted radiology that promises to reshape the future of diagnostic imaging.

Key Insights:

• Market Growth: Understand the significant growth trajectory of the X-Ray Technique segment, which is expected to reach US$4.0 Billion by 2030 with a CAGR of a 32.4%. The Magnetic Resonance Imaging Technique segment is also set to grow at 37.2% CAGR over the analysis period.
• Regional Analysis: Gain insights into the U.S. market, valued at $592.4 Million in 2024, and China, forecasted to grow at an impressive 32.2% CAGR to reach $1.9 Billion by 2030. Discover growth trends in other key regions, including Japan, Canada, Germany, and the Asia-Pacific.

Why You Should Buy This Report:

• Detailed Market Analysis: Access a thorough analysis of the Global Artificial Intelligence (AI)-assisted Radiology Market, covering all major geographic regions and market segments.
• Competitive Insights: Get an overview of the competitive landscape, including the market presence of major players across different geographies.
• Future Trends and Drivers: Understand the key trends and drivers shaping the future of the Global Artificial Intelligence (AI)-assisted Radiology Market.
• Actionable Insights: Benefit from actionable insights that can help you identify new revenue opportunities and make strategic business decisions.

Key Questions Answered:

• How is the Global Artificial Intelligence (AI)-assisted Radiology Market expected to evolve by 2030?
• What are the main drivers and restraints affecting the market?
• Which market segments will grow the most over the forecast period?
• How will market shares for different regions and segments change by 2030?
• Who are the leading players in the market, and what are their prospects?

Report Features:

• Comprehensive Market Data: Independent analysis of annual sales and market forecasts in US$ Million from 2024 to 2030.
• In-Depth Regional Analysis: Detailed insights into key markets, including the U.S., China, Japan, Canada, Europe, Asia-Pacific, Latin America, Middle East, and Africa.
• Company Profiles: Coverage of players such as Aidoc, Arterys, Butterfly Network, Caption Health, and more.
• Complimentary Updates: Receive free report updates for one year to keep you informed of the latest market developments.

Some of the 48 companies featured in this Artificial Intelligence (AI)-assisted Radiology market report include:

• Aidoc
• Arterys
• Butterfly Network
• Caption Health
• ContextVision
• CureMetrix
• EnvoyAI
• iCAD
• Infervision
• MaxQ AI
• Maximal Tech
• MedyMatch Technology
• Nanox
• Qure.ai
• Rad AI
• Radboudumc (Radboud University Medical Center)
• Riverain Technologies
• Siemens Healthineers
• Zebra Medical Vision
• Zegami

This edition integrates the latest global trade and economic shifts as of June 2025 into comprehensive market analysis. Key updates include:

• Tariff and Trade Impact: Insights into global tariff negotiations across 180+ countries, with analysis of supply chain turbulence, sourcing disruptions, and geographic realignment. Special focus on 2025 as a pivotal year for trade tensions, including updated perspectives on the Trump-era tariffs.
• Adjusted Forecasts and Analytics: Revised global and regional market forecasts through 2030, incorporating tariff effects, economic uncertainty, and structural changes in globalization. Includes segmentation by product, technology, type, material, distribution channel, application, and end-use, with historical analysis since 2015.
• Strategic Market Dynamics: Evaluation of revised market prospects, regional outlooks, and key economic indicators such as population and urbanization trends.
• Innovation & Technology Trends: Latest developments in product and process innovation, emerging technologies, and key industry drivers shaping the competitive landscape.
• Competitive Intelligence: Updated global market share estimates for 2025, competitive positioning of major players (Strong/Active/Niche/Trivial), and refined focus on leading global brands and core players.
• Expert Insight & Commentary: Strategic analysis from economists, trade experts, and domain specialists to contextualize market shifts and identify emerging opportunities.
• Complimentary Update: Buyers receive a free July 2025 update with finalized tariff impacts, new trade agreement effects, revised projections, and expanded country-level coverage.