Artificial Intelligence In Radiology Market Size Projected To Reach $8.23 Billion By 2034 With A Cagr Of 30.3%

The Artificial Intelligence In Radiology Market Report by The Business Research Company delivers a detailed market assessment, covering size projections from 2025 to 2034. This report explores crucial market trends, major drivers and market segmentation by [key segment categories].

What Is the Projected Growth of the Artificial Intelligence In Radiology Market?
In recent times, the market size for artificial intelligence in radiology has seen massive growth. It is forecasted to expand from $2.2 billion in 2024 to $2.86 billion in 2025, with a compound annual growth rate (CAGR) of 30.2%. The upswing in previous years is owed to a surge in medical imaging data volume, the emergence of deep learning algorithms, the demand for superior diagnostic precision, regulatory commendations and norms, and a concentrated focus on cost-efficiency and enhancing workflow.

The market size of artificial intelligence in radiology is anticipated to undergo substantial expansion in the upcoming years. By 2029, it is projected to reach a valuation of $8.23 billion, growing at a compound annual growth rate (CAGR) of 30.3%. This predicted growth during the forecast period is largely due to consistent improvements in AI algorithms, their integration with electronic health records (EHRS), the broadening of AI applications beyond merely diagnosing, image enhancement powered by AI, and improved interoperability and data sharing. The future trends expected during this period include an increased focus on telemedicine and remote healthcare, synergy between healthcare and technology companies, strides forward in imaging technologies, quantitative imaging analysis, and automation in report generation.

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What Are the Different Artificial Intelligence In Radiology Market Segments?
The artificial intelligence in radiology market covered in this report is segmented -

1) By Solution Type: AI Software, AI Hardware
2) By Modality: Computed Tomography (CT), Magnetic Resonance (MR), X-Ray, Mammography, Ultrasound (US), Other Modalities
3) By Application: Neurology, Chest And Lung, Musculoskeletal, Abdomen, Cardiology, Other Applications
4) By End-User: Hospitals, Diagnostic Imaging Centers, Other End-Users

Subsegments:
1) By AI Software: Image Analysis Software, Workflow Optimization Software, Radiology Reporting Software, Decision Support Systems, Predictive Analytics Tools
2) By AI Hardware: Imaging Devices, Servers And Computing Infrastructure, Robotics For Automated Imaging, Workstations For Radiologists, Wearable Devices For Patient Monitoring

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What Are the Primary Drivers Shaping the Artificial Intelligence In Radiology Market?
The increasing utilization of artificial intelligence (AI) in healthcare is predicted to spur the expansion of AI in the radiology market. Algorithms powered by AI have shown an impressive ability to analyze and interpret medical imagery accurately, assisting radiologists in identifying minor irregularities and enhancing overall diagnostic results. The remarkable speed and efficiency of AI technologies not only make radiological processes more efficient but also lead to quicker and more precise diagnoses. For example, The Health Foundation, a UK independent charity, reported in July 2024 that over half of the UK public (54%) and three-quarters of NHS staff surveyed (76%) were in favor of AI use in patient care. Additionally, even larger percentages supported its use for administrative duties (61% of the public and 81% of NHS staff). Hence, the rising application of AI in healthcare is propelling the expansion of AI in the radiology market.

Which Companies Are Leading in the Artificial Intelligence In Radiology Market?
Major companies operating in the artificial intelligence in radiology market report are Microsoft Corporation, IBM Corporation, NVIDIA Corporation, Siemens Healthineers AG, Koninklijke Philips N.V, GE Healthcare Technologies Inc., Canon Medical Systems Corporation, HeartFlow Inc., Viz.ai Inc., Aidoc Medical Ltd., EnvoyAI, Butterfly Network Inc., Digital Diagnostics Inc., Caption Health, Day Zero Diagnostics Inc., Enlitic Inc., Arterys, Nano X Imaging Ltd., Subtle Medical Inc., CureMetrix Inc., AliveCor Inc., DiA Imaging Analysis Ltd., Freenome Holdings Inc., Imagen Technologies, Gleamer Ltd., Quibim, Behold.ai, Gauss Surgical Inc., 3D Systems, InformAI LLC, Intel Corporation

What Are the Major Trends Shaping the Artificial Intelligence In Radiology Market?
Major corporations in the AI in radiology sector, such as Viz.ai Inc., are introducing innovative products, like integrated suites, to boost their market profitability. An AI-engineered radiology suite amalgamates AI with medical imaging, enhancing diagnostic precision and operational efficiency. In November 2022, the U.S healthcare software service firm Viz.ai Inc. introduced the Viz radiology suite, a state-of-the-art solution. This suite employs advanced FDA-authorized algorithms to quickly process various data from medical imaging, such as CT scans, EKGs, and echocardiograms. This all-encompassing AI-based care coordination solution not only offers real-time insight but also expedites assessments, facilitating a quicker diagnosis and treatment process. This ground-breaking solution eventually aids in enhancing patient outcomes by speeding up the diagnostic and treatment procedures.

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What Are the Top Revenue-Generating Geographies in the Artificial Intelligence In Radiology Market?
North America was the largest region in the artificial intelligence in radiology market in 2024. The regions covered in the artificial intelligence in radiology market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.

Frequently Asked Questions:
1. What Is the Market Size and Growth Rate of the Artificial Intelligence In Radiology Market?
2. What is the CAGR expected in the Artificial Intelligence In Radiology Market?
3. What Are the Key Innovations Transforming the Artificial Intelligence In Radiology Industry?
4. Which Region Is Leading the Artificial Intelligence In Radiology Market?

Why This Report Matters:

Competitive overview: This report analyzes the competitive landscape of the 3D imaging software market, evaluating key players on market share, revenue, and growth factors.

Informed Decisions: Understand key strategies related to products, segmentation, and industry trends.

Efficient Research: Quickly identify market growth, leading players, and major segments.

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