ARTIFICIAL INTELLIGENCE IN MRI MARKET SIZE AND SHARE ANALYSIS - GROWTH TRENDS AND FORECASTS (2024-2031)

Artificial intelligence (AI) in medical imaging is increasingly becoming popular in the healthcare industry. AI helps in automating diagnosis and allowing physicians to spend more time treating patients. AI-based solutions in MRI aim to provide accurate diagnosis by analyzing large volumes of medical scans more effectively than humans. AI algorithms can learn patterns from previous MRI scans and help radiologists in detecting anomalies or abnormalities. With growing applications of AI across medical specialties, the global artificial intelligence in MRI market is projected to witness significant growth in the coming years.

Market Dynamics:

The global artificial intelligence in MRI market is driven by rising investments in the development of advanced medical imaging solutions. Growing geriatric population suffering from chronic diseases is increasing the demand for early and accurate diagnosis using MRI scans. This is prompting companies to incorporate AI into MRI systems. However, lack of skilled workforce and high costs associated with AI integration are restraining the market growth. The growing adoption of cloud-based MRI solutions offers lucrative opportunities. Integration of AI with MRI can help improve workflow efficiency and optimize cost of care.

Key Features of the Study:

• This report provides in-depth analysis of the global artificial intelligence in MRI market, and provides market size (USD Billion) and compound annual growth rate (CAGR%) for the forecast period (2024–2031), considering 2023 as the base year
• It elucidates potential revenue opportunities across different segments and explains attractive investment proposition matrices for this market
• This study also provides key insights about market drivers, restraints, opportunities, new product launches or approval, market trends, regional outlook, and competitive strategies adopted by key players
• It profiles key players in the global artificial intelligence in MRI market based on the following parameters – company highlights, products portfolio, key highlights, financial performance, and strategies
• Key companies covered as a part of this study include (GE healthcare, IBM Watson health, Philips healthcare, Siemens healthcare.)
• Insights from this report would allow marketers and the management authorities of the companies to make informed decisions regarding their future product launches, type up-gradation, market expansion, and marketing tactics
• The global artificial intelligence in MRI market report caters to various stakeholders in this industry including investors, suppliers, product manufacturers, distributors, new entrants, and financial analysts
• Stakeholders would have ease in decision-making through various strategy matrices used in analyzing the global artificial intelligence in MRI market

Detailed Segmentation-

• By Solution
  
  • Hardware
  • Software
  • Services
    
• By Technology
• • Machine Learning
  • Natural Language Processing
  • Context- Aware Computing
  • Computer Vision
•  By Clinical Applications
• • Musculoskeletal
  • Colon
  • Prostate
  • Liver
  • Cardiovascular
  • Neurology
  • Lung
  • Breast
  • Others
  • By Deployment Type
  • On-premise
  • Cloud
• By Deployment Type
• • On-premise
  • Cloud
• By End Users
• • Hospitals
  • Clinics
  • Research Labs & Diagnostic Imaging Centers
  • Maternity Centers
  • Ambulatory Surgical Centers
• By Region:
• • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East
  • Africa
• Company Profiles:
• • GE Healthcare
  • Siemens Healthineers
  • Canon Medical Systems Corporation
  • Philips Healthcare
  • Hitachi Medical Corporation
  • Samsung Medison Co., Ltd.
  • United Imaging Healthcare
  • Esaote S.p.A.
  • Aspect Imaging
  • Subtle Medical, Inc.
  • Arterys Inc.
  • HeartVista
  • Olea Medical
  • Aidoc
  • DeepHealth, Inc.
  • Zebra Medical Vision Ltd.
  • TeraRecon, Inc.
  • IB Lab GmbH