Global artificial intelligence in radiology Market
Healthcare Services

Artificial Intelligence In Radiology Market Analysis: Key Insights on Growth Rates, Trends, and Major Opportunities

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What is the Predicted CAGR for the Artificial Intelligence In Radiology Market Over the Forecast Period of 2025 to 2034?

The market size of artificial intelligence in radiology has seen substantial growth in recent times. The projections suggest a rise from $2.2 billion in 2024 to $2.86 billion in 2025, evidencing a compound annual growth rate (CAGR) of 30.2%. The historic growth period can be credited to factors such as the surge in medical imaging data, the emergence of deep learning algorithms, the need for enhanced diagnostic precision, regulatory endorsements and standards, an emphasis on cost efficiency, and efforts towards workflow enhancements.

The market for artificial intelligence in radiology is anticipated to undergo substantial growth in the coming years, expanding to a value of $8.23 billion by 2029, with a compound annual growth rate (CAGR) of 30.3%. This notable surge over the forecast period is attributed to ongoing improvements in AI algorithms, the incorporation of these systems with electronic health records (EHRs), the use of AI in areas other than diagnosis, AI-enhanced image refinement, and better data sharing and interoperability. Trends to watch over the forecast period include the rise in telemedicine and distance healthcare, partnerships between healthcare providers and technology firms, progressions in imaging technologies, quantitative imaging analysis, and automated report creation.

Which Major Market Drivers Are Expected to Boost the artificial intelligence in radiology Market’s Growth Potential?

The escalating use of artificial intelligence (AI) in healthcare is predicted to enhance the expansion of AI in the radiology market. AI-driven algorithms display an impressive capability to scrutinise and interpret medical images meticulously, assisting radiologists in identifying minute abnormalities and ameliorating overall diagnostic results. The AI technologies not only make radiological workflows more efficient and quick, but they also contribute towards swifter and more precise diagnoses. A case in point is in July 2024 when The Health Foundation, a UK-based independent charity disclosed that over half of the UK public (54%) and three-quarters of the surveyed NHS staff (76%) displayed their endorsement for implementing AI in patient care. Furthermore, a greater percentage advocated its use for administrative responsibilities (61% of the public and 81% of NHS staff). Hence, the escalating use of AI in healthcare is fueling the expansion of AI in the radiology market.

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Who Are the Top Companies Driving Innovation and Growth in the Artificial Intelligence In Radiology Market?

Major companies operating in the artificial intelligence in radiology market report are:

• Microsoft Corporation_x000D_

• IBM Corporation_x000D_

• NVIDIA Corporation_x000D_

• Siemens Healthineers AG_x000D_

• Koninklijke Philips N.V_x000D_

What Key Trends Are Currently Impacting the Artificial Intelligence In Radiology Market’s Development?

The primary corporations in the AI in radiology market are introducing innovative products, like suites, to raise their earnings within the sector. The radiology suite powered by artificial intelligence is a holistic system that employs AI to amplify diagnostic abilities and optimize processes in medical imaging, thereby enhancing precision and efficiency. For example, Viz.ai Inc., a healthcare software service provider headquartered in the US, unveiled its Viz radiology suite in November 2022. This pioneering solution incorporates sophisticated FDA-approved algorithms to quickly process varied medical imaging data, including CT scans, EKGs, and echocardiograms. This complete AI-enhanced care coordination platform not only delivers real-time insights but also automates evaluations, accelerating the diagnosis and treatment procedure. Ultimately, this progressive solution enhances patient results by speeding up the diagnostic and treatment regimen.

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What Major Market Segments Define the Scope and Growth of the Artificial Intelligence In Radiology Market?

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

Which Geographical Regions Are Pioneering Growth 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.

What Are the Defining Aspects of the Artificial Intelligence In Radiology Market Landscape?

Artificial intelligence (AI) in radiology refers to the application of artificial intelligence technologies, such as machine learning and image analysis algorithms, to enhance diagnostic accuracy and efficiency in medical imaging interpretation. AI techniques provide quantitative measurements and analysis of imaging data, offering more precise and objective information about the characteristics of tissues and structures.

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