세계의 의료 영상 진단 분야 인공지능(AI) 시장 - 예측(2024-2029년)

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.

AI IN MEDICAL IMAGING MARKET 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.

AI in the Medical Imaging Market Geographical Outlook

• 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.

Reasons for buying this report:-

• Insightful Analysis: Gain detailed market insights covering major as well as emerging geographical regions, focusing on customer segments, government policies and socio-economic factors, consumer preferences, industry verticals, other sub- segments.
• Competitive Landscape: Understand the strategic maneuvers employed by key players globally to understand possible market penetration with the correct strategy.
• Market Drivers & Future Trends: Explore the dynamic factors and pivotal market trends and how they will shape up future market developments.
• Actionable Recommendations: Utilize the insights to exercise strategic decision to uncover new business streams and revenues in a dynamic environment.
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Industry and Market Insights, Opportunity Assessment, Product Demand Forecasting, Market Entry Strategy, Geographical Expansion, Capital Investment Decisions, Regulatory Framework & Implications, New Product Development, Competitive Intelligence

Report Coverage:

• Historical data & forecasts from 2022 to 2029
• Growth Opportunities, Challenges, Supply Chain Outlook, Regulatory Framework, Customer Behaviour, and Trend Analysis
• Competitive Positioning, Strategies, and Market Share Analysis
• Revenue Growth and Forecast Assessment of segments and regions including countries
• Company Profiling (Strategies, Products, Financial Information, and Key Developments among others)

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

TABLE OF CONTENTS

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.