Artificial Intelligence (AI) In Medical Imaging Market Size, Share, Opportunities, And Trends By Offering (Software, Services), By Technology (Machine Learning, Deep Learning, Computer Vision), By Application (Oncology, Neurology, Cardiology, Pulmonary, Orthopedics, Others), By End User (Hospitals & Clinics, Diagnostic Imaging Centers, Research Institutions, Others), And By Geography - Forecasts From 2023 To 2028

The AI in medical imaging market was valued at US$1.063 billion in 2021.

As a result of the rising execution of man-made brainpower innovations in the medical care industry, artificial intelligence in the medical Imaging market growth has developed fundamentally. Artificial intelligence in the medical imaging market size has expanded as a direct result of the growing demand for diagnostic tools that are both more accurate and more effective. The AI in Medical Imaging market share is controlled by key companies that are actively developing and integrating AI algorithms into medical imaging systems. Medical services innovation organizations, imaging hardware producers, and programming engineers are among the members. More development and innovation are anticipated as the market develops, resulting in improved medical imaging outcomes.

Introduction:

Artificial intelligence in the Medical Imaging market size is extending quickly and is rethinking the medical services business by changing demonstrative imaging. To improve accuracy, efficiency, and patient outcomes, for instance, medical imaging systems are incorporating machine learning and deep learning algorithms.

In medical scans like X-rays, CT scans, MRIs, and ultrasound, AI in Medical Imaging market growth enables enhanced image processing, automated interpretation, and the identification of anomalies. These man-made consciousness-fueled innovations can help radiologists and doctors find and analyze infirmities like malignant growth, cardiovascular infection, neurological issues, and outer muscle peculiarities.

Key Players in AI in Medical Imaging Market:

• GE Healthcare.: GE Healthcare offers a variety of AI-powered medical imaging products, such as its Edison platform, which incorporates AI algorithms into imaging devices to aid in treatment planning and diagnosis. They offer AI solutions for X-ray, CT, MRI, ultrasound, and other imaging modalities.
• Siemens Healthineers: Siemens Healthineers gives man-made intelligence-driven clinical imaging items, for example, the man-made intelligence Rad Sidekick stage. It offers man-made reasoning strategies for mechanized picture investigation and translation, permitting radiologists to further develop determination precision and work process effectiveness.
• Philips Healthcare: The IntelliSpace platform from Philips Healthcare provides AI-enhanced medical imaging solutions. Automated medical picture processing is provided by their AI systems, facilitating illness diagnosis and characterization across a variety of imaging modalities.
• NVIDIA Corporation: AI software and technology for medical imaging are developed by NVIDIA. Applications in medical imaging make use of their GPUs and AI platforms to speed up image analysis, make it possible to process images in real-time and support deep learning algorithms.
• Aidoc: Aidoc is an AI-powered radiography platform that looks at medical images to find important findings and give them priority. Their algorithms make it easier for radiologists to find anomalies and treat patients more quickly.

MARKET DRIVERS:

• Growing demand for precise and timely illness diagnosis to increase AI adoption in medical imaging

The rising interest in precise and ideal sickness identification is a significant driver of development in AI in the medical imaging market. As per the data by the National Library of Medicine (NLM), utilizing AI in medical imaging has yielded empowering brings about terms of helping determine precision. In terms of illness detection, AI algorithms have demonstrated high sensitivity and specificity, which has led to earlier treatments and better outcomes for patients. The demand for AI-driven medical imaging solutions continues to rise as healthcare professionals strive for more accurate and efficient disease diagnosis.

• Integration of AI algorithms with medical imaging systems:

The integration of AI algorithms with medical imaging systems is a significant growth area for AI in the Medical Imaging market. This association empowers robotized investigation of clinical pictures, further developed anomaly distinguishing proof, and expanded conclusion precision. AI-powered medical imaging systems can quickly and accurately analyze and interpret huge amounts of imaging data, allowing healthcare professionals to make better decisions for their patients. Improvements in the field are being driven by the seamless integration of AI algorithms with medical imaging devices, which is also redefining how medical imaging is carried out and comprehended.

• Rising investments and funding for AI in medical imaging research and development:

Rising ventures and funding for artificial intelligence in clinical imaging innovative work are driving business sector development. As funding increases, developers and researchers will have access to more resources to investigate novel AI algorithms, enhance existing technologies, and enhance the capabilities of medical imaging systems. These investments pave the way for more precise diagnoses, improved patient outcomes, and improved healthcare delivery while also stimulating innovation and propelling developments in the field. The industry's recognition of AI's potential and dedication to ongoing research and application can be seen in the increased funding for AI in medical imaging.

During the projected period, AI in the medical imaging market would increase at a stable rate.

The market for artificial intelligence in medical imaging is divided into the offering, technology, application, end-user, and geographical area segments. The offering is further segmented into hardware, software, and services. Technology is further segmented into machine learning, deep learning, and computer vision.

North America is leading in the AI in the medical imaging market.

With a significant medical imaging AI market share, North America is the global leader. Modern healthcare infrastructure, high healthcare spending, and a significant presence of important businesses and research institutes are among the factors that contribute to the region's dominance. Besides, ideal government endeavours and regulations empowering the utilization of AI in healthcare add to the district's piece of the pie. North America's AI in medical imaging market share is bolstered by the rising demand for accurate diagnostic tools, early illness identification, and individualized treatment plans. The locale's huge piece of the pie mirrors its situation as a middle for artificial intelligence in medical imaging improvements and medical services conveyance development.

Key Developments:

• In October 2022, the medical open network of AI, MONAI integrated with Google Cloud’s Medical Imaging Suite for enabling data interoperability for medical imaging workflows.
• In December 2022, Quantiphi, an AI-enabled digital engineering company announced its selection as a launch partner for Google Cloud’s Medical Imaging Suite which is a novel industry solution leveraging artificial intelligence (AI) for medical imaging.

AI in Medical Imaging Market Scope:

Segmentation

• By Offering
  • Software
  • Services
• By Technology
  • Machine Learning
  • Deep Learning
  • Computer Vision
• By Application
  
  • Oncology
  • Neurology
  • Cardiology
  • Pulmonary
  • Orthopedics
  • Others
• By End User
  • Hospitals & Clinics
  • Diagnostics Image Centers
  • Research Institutes
  • Others 
• By Geography
  • North America
    • United States
    • Canada
    • Mexico
  • South America
    • Brazil
    • Argentina
    • Others
  • Europe
    • United Kingdom
    • Germany
    • France
    • Italy
    • Spain
    • Others
  • Middle East and Africa
    • Saudi Arabia
    • UAE
    • Others
  • Asia Pacific
    • Japan
    • China
    • India
    • South Korea
    • Indonesia
    • Taiwan
    • Other