AI-Enabled Medical Imaging Solutions Market Future Trends, Demand Scope, Analysis Report 2024-2033

The AI-enabled medical imaging market size has grown exponentially in recent years. It will grow from $1.68 billion in 2023 to $2.21 billion in 2024 at a compound annual growth rate (CAGR) of 32.0%. The growth in the historic period can be attributed to advancements in computer vision, digitization of medical images, proliferation of imaging modalities, evolution of machine learning algorithms, and availability of large datasets.

The AI-enabled medical imaging market size is expected to see exponential growth in the next few years. It will grow to $6.62 billion in 2028 at a compound annual growth rate (CAGR) of 31.5%. The growth in the forecast period can be attributed to AI for mental health imaging, ai-enhanced robotic surgery, quantum computing impact, expanded role in remote patient monitoring, regulatory framework evolution. Major trends in the forecast period include exponential growth in AI adoption, AI-driven early detection and prevention, hybrid models and ensemble learning, augmented Intelligence in radiology, ai-powered personalized medicine.

Market Overview -
AI-enabled medical imaging solutions encompass a range of technologies that utilize artificial intelligence (AI) in medical imaging technology to increase diagnosis and treatment accuracy, efficiency, and customization. AI-enabled medical imaging solutions improve clinical decision-making and accuracy, alleviate healthcare personnel shortages, and support growing therapeutic applications.

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AI-Driven Medical Imaging Revolutionizing Early Detection For Chronic Diseases
The increasing prevalence of chronic disorders is expected to propel the growth of the AI-enabled medical imaging solutions market in the coming years. Chronic disorders, or chronic illnesses, are medical conditions that last longer than three months, such as cancer, diabetes, heart disease, arthritis, chronic obstructive pulmonary disease, asthma, and autoimmune diseases. AI-enabled medical imaging speeds up the early diagnosis of chronic illnesses by evaluating complicated imaging data, allowing for faster identification of anomalies and quicker intervention for better patient outcomes. For instance, in January 2023, according to a report published by the National Library of Medicine, a US-based medical library run by the federal government, the number of people aged 50 and older with one or more chronic diseases is expected to increase by 99.5%, totaling 142.66 million by 2050, compared to 71.522 million in 2020 in the United States of America. Therefore, the increasing prevalence of chronic disorders is driving the AI-enabled medical imaging solutions market.

Competitive Landscape -
Major companies operating in the ai-enabled medical imaging solutions market report are Siemens AG, IBM Corporation, NVIDIA Corporation, Fujifilm Holdings Corporation, Koninklijke Philips N.V., GE HealthCare Technologies, Inc, Zebra Technologies Corp., Agfa-Gevaert N.V., Carestream Health, Nuance Communications Inc, Aidoc, SyntheticMR , Butterfly Network Inc, EnvoyAI, ICAD INC., Arterys Inc., Beijing Infervision Technology Co. Ltd., Subtle Medical, Ziosoft , ContextVision AB, RADLogics Inc., Qview Medical Inc, Riverain Technologies , icometrix , DiA Imaging Analysis Ltd., Imagen AI , MaxQ AI Ltd.

Revolutionizing Medical Imaging Advancements In AI-Enhanced Image Reconstruction For Precise Diagnosis
Major companies operating in the AI-enabled medical imaging solutions market are focusing on AI-enhanced image reconstruction, such as deep learning reconstruction, to offer innovative technology that enables healthcare professionals to diagnose patients while also providing comfort. Deep learning reconstruction (DLR) is a technique used in medical imaging to improve picture quality by employing deep learning algorithms. For instance, in November 2023, Canon Medical Systems USA Inc., a US-based company that offers imaging solutions, launched the Precise IQ Engine. Precise IQ Engine is a high-resolution deep learning reconstruction for magnetic resonance imaging driven by Altivity, a daring new approach to AI innovation that employs smart technologies to achieve a completely new level of quality, insight, and value. PIQE improves matrix size, eliminates noise, and produces clear anatomical pictures, elevating MR imaging to new heights. The PIQE program creates high-spatial-resolution pictures from low-resolution photographs while preserving image quality and reducing ringing effects.

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Key Segments -
The ai-enabled medical imaging solutions market covered in this report is segmented -
1) By Product: Software, Hardware
2) By Modality: Computed Tomography (CT), Magnetic Resonance (MR), X-Ray, Ultrasound, Mammography, Multimodality Imaging Systems, Other Modalities
3) By Technology: Deep Learning, Natural Language Processing (NLP), Computer Vision, Other Technologies
4) By Application: Breast Imaging, Respiratory And Pulmonary, Neurology, Orthopedics, Other Applications
5) By Industry Vertical: Hospital And Healthcare Providers, Patients, Pharmaceuticals And Biotechnology Companies, Healthcare Payers, Other Industry Verticals

Key highlights covered in the report -
1. Detailed market size forecast and historical data analysis
2. Key drivers influencing market growth
3. Identification of upcoming trends and potential opportunities in the market
4. Analysis of major players strategies, to understand competitive dynamics and market positioning
5. Evaluation of regional dynamics

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