Artificial Intelligence In Radiology Market Size, Share & Trends Analysis Report By Product | Forecast to 2029
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How Will The Artificial Intelligence In Radiology Market Valuation Change Between Now And 2029?
The size of the radiology sector for artificial intelligence has seen remarkable growth in the last few years. The market is forecasted to grow from its $2.2 billion value in 2024 to $2.85 billion in 2025, achieving a compound annual growth rate (CAGR) of 29.7%. The impressive growth during the historic period can be credited to numerous factors, including the surge in medical imaging data, the emergence of deep learning algorithms, a push for greater diagnostic accuracy, the set up of regulatory approvals and standards, as well as an emphasis on cost-efficiency and improvements in workflow.
In the coming years, the market size for artificial intelligence in radiology is anticipated to experience a significant increase. The expected growth is to reach $8.2 billion in 2029, with a compound annual growth rate (CAGR) of 30.3%. This growth during the prediction period can be credited to ongoing improvements in AI algorithms, the adoption of electronic health records (EHRs), the extension of AI utilities beyond mere diagnosis, AI-enabled image improvement, and strengthened interoperability and data exchange. Key trends for the projected period include telemedicine and distant healthcare, partnerships between technology and healthcare businesses, advancements in imaging technology, quantitative imaging analysis, and automated report production.
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What Underlying Factors Are Supporting The Artificial Intelligence In Radiology Market Growth?
Accelerating advancements in artificial intelligence (AI) within healthcare are predicted to surge the development of AI in the radiology industry. AI-enabled algorithms showcase an impressive ability to precisely analyze and interpret medical images, helping radiologists discern minor abnormalities and enhancing diagnostic results in general. Not only do AI technologies optimize radiological workflows with their speed and efficiency, but they also lead to quicker and more precise diagnoses. As an example, in July 2024, The Health Foundation, a UK-based independent charity, reported that over half of the UK population (54%) along with three-quarters (76%) of the surveyed NHS personnel expressed their favorability for AI applications in patient care. Interestingly, a larger proportion approved its use for administrative duties (61% of the public and 81% of NHS employees). Consequently, the increasing utilization of AI in healthcare propels the development of AI in the radiology sector.
Which Sub-Segments Are Driving Growth Within The Artificial Intelligence In Radiology Market?
The artificial intelligence in radiologymarket 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
What Key Trends Are Driving Growth In The Artificial Intelligence In Radiology Market?
Leading corporations within the radiology artificial intelligence (AI) market are introducing fresh products, like suites, to boost their market profitability. An AI-powered radiology suite blends artificial intelligence to augment diagnostic abilities and smooth the progression of medical imaging processes, thereby raising accuracy and efficiency. For example, in November 2022, Viz.ai Inc., a healthcare software service organization based in the US, unveiled their Viz radiology suite. This advanced solution incorporates sophisticated FDA-approved algorithms to quickly sift through various types of medical imaging data, including CT scans, EKGs, and echocardiograms. Beyond just offering real-time intelligence, this inclusive AI-coordinated care solution also hastens assessments thus expediting the diagnosis and treatment phases. Ultimately, this pioneering product enhances patient outcomes by speeding up the diagnostic and treatment procedure.
Which Companies Hold A Competitive Edge In The 511 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
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Which Region Dominates The Artificial Intelligence In Radiology Market Today?
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.
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