The artificial intelligence in radiology global market report 2024 from The Business Research Company provides comprehensive market statistics, including global market size, regional shares, competitor market share, detailed segments, trends, and opportunities. This report offers an in-depth analysis of current and future industry scenarios, delivering a complete perspective for thriving in the industrial automation software market.
Artificial Intelligence In Radiology Market, 2024 report by The Business Research Company offers comprehensive insights into the current state of the market and highlights future growth opportunities.
Market Size –
The artificial intelligence in radiology market size has grown exponentially in recent years. It will grow from $1.68 billion in 2023 to $2.2 billion in 2024 at a compound annual growth rate (CAGR) of 30.8%. The growth in the historic period can be attributed to increasing volume of medical imaging data, rise of deep learning algorithms, demand for improved diagnostic accuracy, regulatory approvals and standards, focus on cost-efficiency and workflow improvement.
The artificial intelligence in radiology market size is expected to see exponential growth in the next few years. It will grow to $6.31 billion in 2028 at a compound annual growth rate (CAGR) of 30.2%. The growth in the forecast period can be attributed to continued advancements in ai algorithms, integration with electronic health records (ehrs), expansion of ai applications beyond diagnosis, ai-powered image enhancement, enhanced interoperability and data sharing. Major trends in the forecast period include telemedicine and remote healthcare, collaboration between healthcare and tech companies, advancements in imaging technologies, quantitative imaging analytics, automated report generation.
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The Business Research Company’s reports encompass a wide range of information, including:
1. Market Size (Historic and Forecast): Analysis of the market’s historical performance and projections for future growth.
2. Drivers: Examination of the key factors propelling market growth.
3. Trends: Identification of emerging trends and patterns shaping the market landscape.
4. Key Segments: Breakdown of the market into its primary segments and their respective performance.
5. Focus Regions and Geographies: Insight into the most critical regions and geographical areas influencing the market.
6. Macro Economic Factors: Assessment of broader economic elements impacting the market.
Market Drivers –
The growing application of artificial intelligence (AI) in healthcare is expected to propel the growth of artificial intelligence (AI) in the radiology market, going forward. AI-powered algorithms demonstrate a remarkable capability to analyze and interpret medical images with precision, aiding radiologists in detecting subtle abnormalities and improving overall diagnostic outcomes. The efficiency and speed offered by AI technologies not only streamline radiological workflows but also contribute to faster and more accurate diagnoses. For instance, in March 2023, according to the Department for Science, Innovation & Technology (DSIT), a UK-based government agency, the Department of Health and Social Care channeled $39.4 million (£36 million) into thirty-eight AI projects, focusing on advancing patient care and expediting diagnoses in 2021. Therefore, the growing application of AI in healthcare is driving the growth of artificial intelligence (AI) in the radiology market.
Market Trends –
Major companies operating in the artificial intelligence (AI) in radiology market are launching new products, such as suites, to increase their profitability in the market. An AI-powered radiology suite is an integrated system leveraging artificial intelligence to enhance diagnostic capabilities and streamline processes in medical imaging, improving accuracy and efficiency. For instance, in November 2022, Viz.ai Inc., a US-based healthcare software service provider, launched Viz radiology suite. The suite is a cutting-edge solution that integrates advanced FDA-approved algorithms to swiftly analyze diverse medical imaging data such as CT scans, EKGs and echocardiograms. This comprehensive AI-powered care coordination solution not only provides real-time insights but also automates assessments, expediting the diagnosis and treatment process. Ultimately, this innovative solution contributes to improved patient outcomes by accelerating the diagnostic and treatment workflow.
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
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Regional Insights –
North America was the largest region in the artificial intelligence in radiology market in 2023. 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.
Key Companies –
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
Table of Contents
1. Executive Summary
2. Artificial Intelligence In Radiology Market Report Structure
3. Artificial Intelligence In Radiology Market Trends And Strategies
4. Artificial Intelligence In Radiology Market – Macro Economic Scenario
5. Artificial Intelligence In Radiology Market Size And Growth
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27. Artificial Intelligence In Radiology Market Competitor Landscape And Company Profiles
28. Key Mergers And Acquisitions
29. Future Outlook and Potential Analysis
30. Appendix
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