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 2024 To 2029

The AI in medical imaging market is projected to witness a CAGR of 33.47% during the forecast period to reach a total market size of US$10.376 billion by 2029, up from US$2.449 billion in 2024.

As a result of the rising execution of man-made brainpower innovations in the medical care industry, artificial intelligence (AI) in the medical Imaging market growth has developed fundamentally. AI in the medical imaging market size has expanded due to the growing demand for diagnostic tools that are both more accurate and more effective. Key companies own the market share in medical imaging and AI since they are actively developing and integrating AI algorithms into medical imaging systems. Its members include innovation organizations in medical services, producers of imaging hardware, and programming engineers. The market growth has created room for anticipation of further development and innovation that will improve the results of medical imaging.

Introduction:

Artificial intelligence in the medical imaging market is expanding rapidly, and the medical services business is being rethought by changing demonstrative imaging. To improve accuracy, efficiency, and patient outcomes, 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.

Artificial intelligence (AI) in medical imaging market players and products

• GE Healthcare: General Electric Healthcare offers a wide range of medical imaging products using AI. For example, its Edison platform is integrated with AI algorithms to enhance patient diagnosis and treatment. They also offer AI-based X-rays, CT scans, MRI ultrasounds, and others.
• Siemens Healthineers: Siemens Healthineers provides AI-driven clinical imaging products. It offers AI algorithms for automated image analysis and interpretation that can aid radiologists in improving diagnosis and workflow accuracy.
• Philips Healthcare: Philips Healthcare provides AI-enhanced medical imaging through the IntelliSpace platform. Its AI systems offer automated processing for medical pictures to aid in improving the diagnosis and characterization of diseases across multiple imaging modalities.
• NVIDIA Corporation: The company designs, investigates, and develops AI software and technology for medical imaging. Medical imaging uses the company's GPUs and AI platforms to accelerate image analysis by allowing real-time image processing, thus enabling deep learning algorithms.
• AIDOC: AIDOC is a radiography platform powered by AI. It prioritizes the important findings by looking at medical images. The algorithms make it easier for radiologists to find anomalies and treat their patients quickly.

What are the artificial intelligence (AI) in medical imaging market growth drivers?

• Growing demand for accurate and timely diagnosis of illness:

The growing demand for precise imaging is anticipated to drive AI adoption in medical imaging since there is growing interest in the perfect and ideal identification of illness. According to the statistics provided by the National Library of Medicine, AI usage in medical imaging has significantly improved diagnostic accuracy. AI algorithms have shown high sensitivity and specificity for the detection of ailments, which has, in turn, enabled patients to go through better outcomes of treatments much earlier than usual. Due to the demand for more accurate diagnosis of diseases by healthcare professionals, AI-driven medical imaging solutions are gaining importance daily.

• Integration of AI algorithms with medical imaging systems:

AI algorithms integrated into medical imaging systems represent one of the most extensive growth opportunities for AI in the medical imaging market. The integration allows robotized clinical pictures to be investigated for enhanced anomaly distinguishing proof and the extension of conclusion precision. With AI-impacted medical imaging, huge amounts of imaging information can be dissected and deciphered much faster than before and with significantly higher exactness, allowing better choices by healthcare experts for their patients. Improvements within the field are being propelled by the seamless integration of AI algorithms into medical imaging devices and rebuilding the way medical imaging is conducted and understood.

• More investments and funding towards AI in medical imaging research and development:

Rising ventures and funding for artificial intelligence in clinical imaging innovative work have catalyzed the business sector's development. With more funding, more developers and researchers will have increased resources to research new AI algorithms, improve existing technologies, and increase the capabilities of medical imaging systems. This investment opens up routes toward more precise diagnoses, better patient outcomes, and better healthcare provision while at the same time encouraging innovation and driving further developments within the sector. Increased funding for AI in medical imaging is a clear indication that the industry recognizes its potential and is dedicated to further research on the application of AI.

What are the key geographical trends shaping the artificial intelligence (AI) in medical imaging market?

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

North America is leading the world market with a huge share of the medical imaging AI market. The regional growth can be attributed to the modern healthcare infrastructure, high healthcare expenditure, and the considerable presence of key companies or research institutions. Besides that, favorable government initiatives and policies promoting the use of AI in healthcare add to the market's share. The increasing demand for effective diagnostic tools, early illness identification, and personalized treatment plans bolsters North America's share of the AI market in medical imaging.

Recent developments in the artificial intelligence (AI) in medical imaging market

• In November 2023, Philips launched a new AI-enabled innovation that will free healthcare providers to focus on patient care. At RSNA23, the world’s largest imaging conference, this solution was provided, which will help shorten procedure times and make operations user-friendly.
• In October 2022, the medical open network of AI, MONAI, integrated with Google Cloud’s Medical Imaging Suite to enable data interoperability for medical imaging workflows.
• In June 2022, Quantiphi, an AI-enabled digital engineering company, announced its selection as a launch partner for Google Cloud’s Medical Imaging Suite, a novel industry solution that leverages artificial intelligence (AI) for medical imaging.

Artificial Intelligence (AI) In Medical Imaging Market Scope:

 

Report Metric	Details
AI in Medical Imaging Market Size in 2024	US$2.449 billion
AI in Medical Imaging Market Size in 2029	US$10.376 billion
Growth Rate	CAGR of 33.47%
Study Period	2019 to 2029
Historical Data	2019 to 2022
Base Year	2024
Forecast Period	2024 – 2029
Forecast Unit (Value)	USD Billion
Segmentation	Offering Technology Application End User Geography
Geographical Segmentation	North America, South America, Europe, Middle East and Africa, Asia Pacific
List of Major Companies in AI in Medical Imaging Market	General Electric Company IBM Corporation Koninklijke Philips N.V. NVIDIA Corporation Siemens Healthineers AG
Customization Scope	Free report customization with purchase

 

Artificial intelligence (AI) in medical imaging market is segmented and analyzed as below:

• 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

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1. INTRODUCTION

1.1. Market Overview

1.2. Market Definition

1.3. Scope of the Study

1.4. Market Segmentation

1.5. Currency

1.6. Assumptions

1.7. Base, and Forecast Years Timeline

2. RESEARCH METHODOLOGY  

2.1. Research Data

2.2. Assumptions

3. EXECUTIVE SUMMARY

3.1. Research Highlights

4. MARKET DYNAMICS

4.1. Market Drivers

4.2. Market Restraints

4.3. Porter’s Five Force Analysis

4.3.1. Bargaining Power of Suppliers

4.3.2. Bargaining Power of Buyers

4.3.3. Threat of New Entrants

4.3.4. Threat of Substitutes

4.3.5. Competitive Rivalry in the Industry

4.4. Industry Value Chain Analysis

5. AI IN MEDICAL IMAGING MARKET, BY OFFERING

5.1. Introduction

5.2. Software

5.3. Services

6. AI IN MEDICAL IMAGING MARKET, BY TECHNOLOGY

6.1. Introduction

6.2. Machine Learning

6.3. Deep Learning

6.4. Computer Vision

7. AI IN MEDICAL IMAGING MARKET, BY APPLICATION

7.1. Introduction

7.2. Oncology

7.3. Neurology

7.4. Cardiology

7.5. Pulmonary

7.6. Orthopedics

7.7. Others

8. AI IN MEDICAL IMAGING MARKET, END-USER

8.1. Introduction

8.2. Hospitals & Clinics

8.3. Diagnostics Image Centers

8.4. Research Institutes

8.5. Others 

9. AI IN MEDICAL IMAGING MARKET, BY GEOGRAPHY

9.1. Introduction

9.2. North America

9.2.1. United States

9.2.2. Canada

9.2.3. Mexico

9.3. South America

9.3.1. Brazil

9.3.2. Argentina

9.3.3. Others

9.4. Europe

9.4.1. United Kingdom

9.4.2. Germany

9.4.3. France

9.4.4. Italy

9.4.5. Spain

9.4.6. Others

9.5. Middle East and Africa

9.5.1. Saudi Arabia

9.5.2. UAE

9.5.3. Others

9.6. Asia Pacific

9.6.1. Japan

9.6.2. China

9.6.3. India

9.6.4. South Korea

9.6.5. Indonesia 

9.6.6. Taiwan

9.6.7. Others

10. COMPETITIVE ENVIRONMENT AND ANALYSIS

10.1. Major Players and Strategy Analysis

10.2. Market Share Analysis

10.3. Mergers, Acquisitions, Agreements, and Collaborations

11. COMPANY PROFILES

11.1. General Electric Company

11.2. IBM Corporation

11.3. Koninklijke Philips N.V.

11.4. NVIDIA Corporation

11.5. Siemens Healthineers AG

11.6. Canon Medical Systems Corporation

11.7. Hologic, Inc.

11.8. Agfa-Gevaert Group

11.9. Aidoc

11.10. Zebra Technologies Corp.

General Electric Company

IBM Corporation

Koninklijke Philips N.V.

NVIDIA Corporation

Siemens Healthineers AG

Canon Medical Systems Corporation 

Hologic, Inc.

Agfa-Gevaert Group

Aidoc Medical Ltd.

Zebra Medical Vision Ltd.