Artificial Intelligence in Medical Imaging Market to Observe Highest Growth of USD 14.93 billion with Excellent CAGR of 28.80% in the Forecast Period of 2024 to 2032

The Global Artificial Intelligence in Medical Imaging Market research report has been meticulously crafted through the systematic collection of data specific to the industry. This data is presented in a structured manner, offering clear explanations of various facts and figures relevant to businesses. The market insights provided in this report enable companies to identify and explore diverse opportunities within the global landscape of the industry. The report delivers precise information on market trends, industrial shifts, and evolving consumer behaviours, providing businesses with a comprehensive understanding of the current market environment.

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Global Artificial Intelligence in Medical Imaging market size was USD 1.53 billion in 2023 and the market is projected to touch USD 14.93 billion by 2032, at a CAGR of 28.80% during the forecast period.

Market Definition:

AI in medical imaging involves using machine learning algorithms and deep learning techniques to analyse and interpret complex medical images such as X-rays, MRIs, and CT scans. These AI systems can detect abnormalities, assist in diagnosing diseases, and predict treatment outcomes, offering significant potential to transform healthcare delivery.

The Artificial Intelligence in Medical Imaging Market is Dominated by Firms Such as

· OrCam

· BenevolentAI

· BioXcel Therapeutics Inc

· Aitia

· Qventus

· K Health

· Prognos Health

· Viz.ai, Inc

· mPulse Mobile

· Suki AI, Inc

· ZealthLife technologies Pte. Ltd

· Owkin Inc.

· Siemens Healthineers AG

· EchoNous, Inc

· Enlitic, Inc.

Artificial Intelligence in Medical Imaging Recent Developments

April 2024, Bayer has joined forces with Google Cloud to accelerate the creation of AI-driven solutions for radiologists. This collaboration aims to support healthcare professionals and improve patient care by leveraging Google Cloud's advanced technology, including its generative AI tools. Together, they will tackle the challenges of developing scalable and compliant AI medical imaging software products, while ensuring robust data security measures are in place.

March 2024, GE HealthCare utilized NVIDIA technology to create their latest research model, SonoSAMTrack1. This innovative model integrates a foundational promptable model, SonoSAM1, to accurately segment objects within ultrasound images. SonoSAMTrack prioritizes the segmentation of anatomical structures, lesions, and other critical areas in ultrasound imagery. Additionally, SonoSAMLite offers a simplified iteration of SonoSAMTrack.

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Artificial Intelligence in Medical Imaging report segmentation

By Technology

· Deep Learning

· NLP

· Computer Vision

· Others

By Deployment Type

· On-Premise

· Cloud

By Application

· X-Ray

· CT

· MRI

· Ultrasound

· Molecular Imaging

By Offering

· Hardware

· Software

· Services

By Clinical Applications

· Breast

· Cardiovascular

· Liver

· Lung

· Neurology

· Prostate

· Colon

· Musculoskeletal

· Others

By End-User

· Hospitals

· Clinics

· Research Laboratories

· Others

By Geography

· North America (USA, and Canada)

· Europe (UK, Germany, France, Italy, Spain, Russia and Rest of Europe)

· Asia Pacific (Japan, China, India, Australia, Southeast Asia and Rest of Asia Pacific)

· Latin America (Brazil, Mexico, and Rest of Latin America)

· Middle East & Africa (South Africa, GCC, and Rest of Middle East & Africa)

Radical conclusions of the report:

• Industry overview with a futuristic perspective

• Analysis of production costs and analysis of the industrial chain

• Full regional analysis

• Benchmarking the competitive landscape

• Market growth trends; current and emerging

• Technological developments and products

• Comprehensive coverage of market factors, restraints, opportunities, threats, limitations, and outlook for the Market

• SWOT Analysis, Porter's Five Forces Analysis, Feasibility Analysis, and ROI Analysis

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