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Report Overview

The global artificial intelligence in MRI market was valued at USD 3.12 Billion in 2023, driven by advancements in deep learning techniques across the globe. The market is anticipated to grow at a CAGR of 10.80% during the forecast period of 2024-2032, with the values likely to reach USD 7.85 Billion by 2032.

2023

Base Year

2017-2023

Historical Year

2024-2032

Forecast Year

  • The global AI in MRI market is expanding rapidly driven by the advancements in image reconstruction, improved diagnostic accuracy, and automated disease detection.
  • In February 2024, Philips with Synthetic MR launched the Smart Quant Neuro 3D. It is an AI-driven tool that enhances neurology care by improving diagnostic accuracy and workflow efficiency for brain disorders, marking significant AI integration in MRI for neurology​.
  • North America holds a substantial share of the market, with growth expected due to rising healthcare investments and demand for AI-driven medical imaging solutions.

Artificial Intelligence in MRI Market Overview

Artificial intelligence transforms magnetic resonance imaging (MRI) by greatly enhancing image quality, speed, and precision. Algorithms driven by AI efficiently minimize noise, improve resolution, and assist in identifying anomalies, resulting in quicker and more accurate diagnoses. By examining large datasets, AI enhances MRI processes for radiologists, facilitating tailored patient care. The market is significantly expanding, fueled by governmental support for digital healthcare, greater acceptance of AI-driven solutions, and the growing need for accurate medical diagnoses. Sophisticated AI techniques and plentiful imaging data further drive the growth.

Artificial Intelligence in MRI Market Growth Drivers

Advancements in deep learning algorithms to Elevate the Market Value

Improvements in deep learning techniques, including convolutional neural networks (CNN) integrated with attention mechanisms are driving market expansion. These algorithms enhance the precision of diagnostics and the accuracy of prognosis predictions, especially in high-risk conditions such as endometrial cancer. In November 2024, a study published in Scientific Reports highlighted the potential of deep learning algorithms in MRI for diagnosing and predicting endometrial cancer. Innovations in AI-assisted MRI imaging bolster its function in accurate, risk-oriented diagnosis and recurrence forecasting, greatly improving patient care and results.

Artificial Intelligence in MRI Market Trends

Artificial Intelligence in MRI Market Segmentation

The market report offers a detailed analysis of the market based on the following segments:

Market Breakup by Type

  • Hardware
  • Software
  • Services

Market Breakup by Technology

  • Machine Learning
  • Deep Learning
  • Computer Vision
  • NLP (Natural Language Processing)
  • Others

Market Breakup by Application

  • Musculoskeletal
  • Cardiovascular
  • Neurology
  • Lung
  • Breast
  • Others

Market Breakup by Deployment Type

  • Cloud Based
  • On-Premise

Market Breakup by End User

  • Hospitals and Clinics
  • Diagnostic Centers
  • Research and Academic Institutes
  • Others

Market Breakup by Region

  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa

Artificial Intelligence in MRI Market Share

Segmentation Based on Type to Witness Substantial Growth

The market is segmented into hardware, software, and services based on the type. The software sector holds a significant share of the market owing to the rising need for AI-driven applications and solutions in the healthcare industry. MRI systems powered by AI utilize sophisticated software to analyze extensive datasets, train intricate deep-learning models, and offer intuitive interfaces for radiologists. With the advances in terms of sophistication, powerful software platforms are crucial for their development, training, deployment, and management.

Artificial Intelligence in MRI Market Analysis by Region

The market is divided into regions such as North America, Europe, Asia Pacific, Latin America, and the Middle East and Africa. The market in North America is experiencing substantial growth. The region's sophisticated healthcare facilities and adoption of technology aid its expansion. The Asia Pacific region is also expanding rapidly, as countries such as China, India, and Japan are investing significantly in AI healthcare innovations. Increasing medical tourism and a substantial patient population are anticipated to augment the demand for sophisticated diagnostic equipment in the region.

Leading Players in the Artificial Intelligence in MRI Market

The key features of the market report comprise patent analysis, grants analysis, funding and investment analysis, and strategic initiatives by the leading players. The major companies in the market are as follows:

Resonance Health Ltd

Resonance Health specializes in advanced AI-driven MRI imaging solutions. It is headquartered in Burswood, Western Australia, and was established in 2004. Its leading products include AI-powered FerriSmart and HepaFatSmart, which provide non-invasive assessments of liver conditions, showcasing cutting-edge precision in MRI-based diagnostics.

Samsung Electronics Co.Ltd

Samsung Electronics was established in 1969 and headquartered in Suwon, South Korea. It is a leading player in...

GE Healthcare

GE HealthCare, headquartered in Chicago, USA, was established in 1892. It leads the global AI in the MRI marke...

Koninklijke Philips N.V.

Philips, headquartered in Amsterdam, Netherlands, was established in 1891. It is a leading player in artificia...

*Please note that this is only a partial list; the complete list of key players is available in the full report. Additionally, the list of key players can be customized to better suit your needs.*

Other key players in the market include Zebra Medical Vision Inc., Arterys Inc., Nuance Communications Inc., NVIDIA Corporation, and OWKIN Inc.

Key Questions Answered in the Artificial Intelligence in MRI Market Report

  • What was the artificial intelligence in MRI market value in 2023?
  • What is the artificial intelligence in MRI market forecast outlook for 2024-2032?
  • What are the regional markets covered in the EMR report?
  • What is the market segmentation based on type?
  • What is the market segmentation based on technology?
  • What is the market breakup based on application?
  • What is the market breakup based on deployment type?
  • What is the market breakdown based on the end user?
  • What major factors aid the artificial intelligence in MRI market demand?
  • How has the market performed so far and how is it anticipated to perform in the coming years?
  • What are the major drivers, opportunities, and restraints in the market?
  • What are the major trends influencing the market?
  • Which regional market is expected to dominate the market share in the forecast period?
  • Which country is likely to experience elevated growth during the forecast period?
  • Who are the key players involved in the artificial intelligence in MRI market?
  • What are the current unmet needs and challenges in the market?
  • How are partnerships, collaborations, mergers, and acquisitions among the key market players shaping the market dynamics?

*While we strive to always give you current and accurate information, the numbers depicted on the website are indicative and may differ from the actual numbers in the main report. At Expert Market Research, we aim to bring you the latest insights and trends in the market. Using our analyses and forecasts, stakeholders can understand the market dynamics, navigate challenges, and capitalize on opportunities to make data-driven strategic decisions.*

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Report Summary

Explore our key highlights of the report and gain a concise overview of key findings, trends, and actionable insights that will empower your strategic decisions.

Key Highlights of the Report

Please note that the figures mentioned in the description serve as estimates and may vary from the actual figures presented in the final report.

REPORT FEATURES DETAILS
Base Year 2023
Historical Period 2017-2023
Forecast Period 2024-2032
Scope of the Report

Historical and Forecast Trends, Industry Drivers and Constraints, Historical and Forecast Market Analysis by Segment:

  • Type
  • Technology
  • Application
  • Deployment Type
  • End User
  • Region
Breakup by Type
  • Hardware
  • Software
  • Services
Breakup by Technology
  • Machine Learning
  • Deep Learning
  • Computer Vision
  • NLP (Natural Language Processing)
  • Others
Breakup by Application
  • Musculoskeletal
  • Cardiovascular
  • Neurology
  • Lung
  • Breast
  • Others
Breakup by Deployment Type
  • Cloud Based
  • On-Premises
Breakup by End User
  • Hospitals and Clinics
  • Diagnostic Centers
  • Research and Academic Institutes
  • Others
Breakup by Region
  • North America
  • Europe
  • Asia Pacific
  • Latin America
  • Middle East and Africa
Market Dynamics
  • Market Drivers and Constraints
  • SWOT Analysis
  • PESTEL Analysis
  • Porter’s Five Forces Model 
  • Key Demand Indicators
  • Key Price Indicators
  • Industry Events, Initiatives, and Trends 
  • Value Chain Analysis
Supplier Landscape
  • Market Structure
  • Company Profiles
    • Financial Analysis
    • Product Portfolio
    • Demographic Reach and Achievements
    • Company News and Developments
    • Certifications
Companies Covered
  • Resonance Health Ltd
  • Zebra Medical Vision Inc
  • Samsung Electronics Co.Ltd
  • Arterys Inc.
  • GE Healthcare
  • Koninklijke Philips N.V.
  • Nuance Communications Inc.
  • NVIDIA Corporation
  • OWKIN INC.

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