AI in Medical Imaging Market Size
What combination of drivers is leading to accelerated growth in the ai in medical imaging market?
The escalating utilization of AI within the realm of radiology is projected to boost the AI in medical imaging market in future. Radiology, the medical field centered on diagnosing and treating diseases and injuries via medical imaging modalities, predominantly employs AI in medical imaging to augment the interpretation of medical images and enhance the reliability and productivity of radiological procedures. These include automated image analysis, computer-assisted detection, along with image reconstruction and improvement. For example, from an October 2023 report by the Radiological Society of North America, a not-for-profit organization based in the U.S., it was shown that present healthcare market offers abundant AI tools for radiologists, with 75% out of more than 500 FDA-approved AI algorithms being geared towards radiology, an increase from 70% in 2021. Additionally, in November 2022, data from Itransition, a software development firm situated in the U.S., indicated that in 2022, 30 percent of radiologists incorporated AI in their clinical work, with 20 percent of medical practices seeking to acquire AI tools in upcoming years. Consequently, the expanding use of AI in radiology is anticipated to stimulate the AI in medical imaging market.
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What is the projected compound annual growth rate (CAGR) of the ai in medical imaging market from 2025 to 2034, and what factors influence it?
Over the past few years, the market size of AI in medical imaging has seen a rapid expansion. Its growth is projected to rise from $2.8 billion in 2024 to $3.81 billion in 2025, with a compound annual growth rate (CAGR) of 36.0%. Causes for the substantial increase during the historic period include a rise in the amount of medical imaging data, a greater call for superior diagnostic precision, increasing prevalence of chronic diseases, improved workflow efficiency, and a surge in healthcare spending.
The market size for AI in medical imaging is predicted to witness substantial escalation in the years to come. The market will expand to $14.64 billion by 2029 at a compounded annual growth rate of 40.0%. The predicted growth during the forecast span is owing to factors such as amalgamation with electronic health records (EHR), burgeoning usage in image-guided procedures, the advent of AI-driven personalized medication, an increased concentration on prophylactic healthcare, and the worldwide proliferation of telemedicine. Noteworthy trends during the forecast span consist of improved imaging procedures with AI, interoperability and data exchange, the creation of regulatory frameworks, enhanced cooperation within the industry, and a rising emphasis on comprehensible AI.
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How are the latest trends influencing the growth of the ai in medical imaging market?
The rising trend of technological innovations is shaping the AI in medical imaging market prominently. Notable players in the AI in medical imaging sector are consistently creating novel techniques to maintain their dominance in the market. For example, in November 2022, Viz.AI inc., an American medical imaging company, introduced an AI-driven radiology suite. This cutting-edge technology is designed to flawlessly integrate with the picture archiving and communication systems (PACS) used by healthcare organizations, securely providing access to imaging data inter-departmentally, resulting in seamless patient diagnosis. Additional attributes include AI-based alert systems that instantaneously inform radiologists of suspected diseases, priority worklists assisting radiologists to concentrate on immediate cases, and real-time communication tools enabling collaboration with other healthcare team members. These advancements contribute to superior patient outcomes and efficiency, while also decreasing costs.
What are the major segments of the ai in medical imaging market and their role in driving growth?
The AI in medical imaging market covered in this report is segmented –
1) By Technology: Deep Learning, Natural Language Processing (NLP), Other Technologies
2) By Solution: Software Tools, Services
3) By Modality: Computed Tomography (CT) Scan, Magnetic Resonance Imaging (MRI), X-Rays, Ultrasound, Nuclear Imaging
4) By Application: Digital Pathology, Oncology, Cardiovascular, Neurology, Lung (Respiratory System), Breast (Mammography), Liver (GI), Oral Diagnostics, Other Applications
5) By End-Use: Hospitals, Diagnostic Imaging Centers, Other End-Users
Subsegments:
1) By Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Generative Adversarial Networks (GANs), Transfer Learning
2) By Natural Language Processing (NLP): Speech Recognition, Text Analytics, Information Extraction, Clinical Decision Support Systems
3) By Other Technologies: Machine Learning, Computer Vision, Image Processing Algorithms, Predictive Analytics Tools
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Which regions are key players in the growth of the ai in medical imaging market?
North America was the largest region in the AI in medical imaging market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in the AI in medical imaging market report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East, Africa.
Who are the key firms paving the way for growth in the ai in medical imaging market?
Major companies operating in the AI in medical imaging market include Alphabet Inc, Microsoft Corporation, The International Business Machines Corporation, Sanofi, Oracle Corporation, Merative, Medtronic plc, Nvidia Corporation, Siemens Healthineers AG, Koninklijke Philips NV, Stryker, GE HealthCare Technologies Inc., Lunit Inc., DeepMind, Viz.AI inc., Aidoc, AZmed, Digital Diagnostics Inc., Butterfly Network Inc., Cleerly, Behold.ai, Butterfly Network, Enlitic, Nano-X Imaging Ltd., Arterys, Caption Health, EchoNous Inc., Gleamer, CloudMedX, CellmatiQ GmbH, Mediwhale, dentalXrai GmbH
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What Is Covered In The AI in Medical Imaging Global Market Report?
• Market Size Forecast: Examine the ai in medical imaging market size across key regions, countries, product categories, and applications.
• Segmentation Insights: Identify and classify subsegments within the ai in medical imaging market for a structured understanding.
• Key Players Overview: Analyze major players in the ai in medical imaging market, including their market value, share, and competitive positioning.
• Growth Trends Exploration: Assess individual growth patterns and future opportunities in the ai in medical imaging market.
• Segment Contributions: Evaluate how different segments drive overall growth in the ai in medical imaging market.
• Growth Factors: Highlight key drivers and opportunities influencing the expansion of the ai in medical imaging market.
• Industry Challenges: Identify potential risks and obstacles affecting the ai in medical imaging market.
• Competitive Landscape: Review strategic developments in the ai in medical imaging market, including expansions, agreements, and new product launches.
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