세계의 의료 영상용 인공지능 시장 : 부문별 예측(2025-2030년)

The Artificial Intelligence in Medical Imaging Market was valued at USD 1.24 billion in 2023, expected to reach USD 1.57 billion in 2024, and is projected to grow at a CAGR of 26.87%, to USD 6.57 billion by 2030.

Artificial Intelligence (AI) in Medical Imaging represents a transformative shift in healthcare, significantly enhancing the diagnostic precision, speed, and efficiency of medical imaging processes. The primary scope encompasses various AI technologies, including machine learning, deep learning, and neural networks, applied across imaging modalities such as MRI, CT scans, X-rays, and ultrasound. This technology is integral as it enables the rapid analysis of vast quantities of imaging data, potentially reducing human error and improving early disease detection, which is critical in conditions like cancer, cardiovascular diseases, and neurological disorders. Key applications range from automated image analysis and interpretation to predictive analytics and workflow optimization within radiology departments. End-use scopes primarily include hospitals, diagnostic centers, and research institutions. Market growth is driven by escalating demand for early diagnosis, the increasing integration of AI with advanced imaging systems, and the rising prevalence of chronic diseases. Potentials lie in developing AI algorithms for under-researched areas and integrating AI with emerging technologies like augmented reality (AR) in surgical applications. However, challenges such as regulatory hurdles, data privacy concerns, high initial costs, and the need for extensive healthcare professional training impede growth. To overcome these, companies must advocate for robust legislative frameworks and invest in user-friendly AI interfaces. Opportunities exist in partnerships with academic institutions for R&D and focusing on emerging markets with expanding healthcare infrastructure. Innovation can be turbocharged by focusing on explainable AI, which bridges the gap between AI complexity and clinical interpretability, and by leveraging AI to personalize diagnostic imaging protocols. This market appears dynamic and promising, characterized by rapid technological advancements and increasingly widespread adoption, but requires strategic navigation of regulatory and ethical landscapes to fully realize its potential.

Market Dynamics: Unveiling Key Market Insights in the Rapidly Evolving Artificial Intelligence in Medical Imaging Market

The Artificial Intelligence in Medical Imaging Market is undergoing transformative changes driven by a dynamic interplay of supply and demand factors. Understanding these evolving market dynamics prepares business organizations to make informed investment decisions, refine strategic decisions, and seize new opportunities. By gaining a comprehensive view of these trends, business organizations can mitigate various risks across political, geographic, technical, social, and economic domains while also gaining a clearer understanding of consumer behavior and its impact on manufacturing costs and purchasing trends.

• Market Drivers
  • Significant benefits of AI in medical imaging
  • Government initiatives to promote the use of artificial intelligence
  • Adoption of advanced analytics in medical imaging
• Market Restraints
  • High costs associated with development and deployment of AI
• Market Opportunities
  • Emerging investments in developing advanced AI tools
  • Development of smart hospitals and higher adoption of AI
• Market Challenges
  • Data security issues associated with AI in governance

Porter's Five Forces: A Strategic Tool for Navigating the Artificial Intelligence in Medical Imaging Market

Porter's five forces framework is a critical tool for understanding the competitive landscape of the Artificial Intelligence in Medical Imaging Market. It offers business organizations with a clear methodology for evaluating their competitive positioning and exploring strategic opportunities. This framework helps businesses assess the power dynamics within the market and determine the profitability of new ventures. With these insights, business organizations can leverage their strengths, address weaknesses, and avoid potential challenges, ensuring a more resilient market positioning.

PESTLE Analysis: Navigating External Influences in the Artificial Intelligence in Medical Imaging Market

External macro-environmental factors play a pivotal role in shaping the performance dynamics of the Artificial Intelligence in Medical Imaging Market. Political, Economic, Social, Technological, Legal, and Environmental factors analysis provides the necessary information to navigate these influences. By examining PESTLE factors, businesses can better understand potential risks and opportunities. This analysis enables business organizations to anticipate changes in regulations, consumer preferences, and economic trends, ensuring they are prepared to make proactive, forward-thinking decisions.

Market Share Analysis: Understanding the Competitive Landscape in the Artificial Intelligence in Medical Imaging Market

A detailed market share analysis in the Artificial Intelligence in Medical Imaging Market provides a comprehensive assessment of vendors' performance. Companies can identify their competitive positioning by comparing key metrics, including revenue, customer base, and growth rates. This analysis highlights market concentration, fragmentation, and trends in consolidation, offering vendors the insights required to make strategic decisions that enhance their position in an increasingly competitive landscape.

FPNV Positioning Matrix: Evaluating Vendors' Performance in the Artificial Intelligence in Medical Imaging Market

The Forefront, Pathfinder, Niche, Vital (FPNV) Positioning Matrix is a critical tool for evaluating vendors within the Artificial Intelligence in Medical Imaging Market. This matrix enables business organizations to make well-informed decisions that align with their goals by assessing vendors based on their business strategy and product satisfaction. The four quadrants provide a clear and precise segmentation of vendors, helping users identify the right partners and solutions that best fit their strategic objectives.

Strategy Analysis & Recommendation: Charting a Path to Success in the Artificial Intelligence in Medical Imaging Market

A strategic analysis of the Artificial Intelligence in Medical Imaging Market is essential for businesses looking to strengthen their global market presence. By reviewing key resources, capabilities, and performance indicators, business organizations can identify growth opportunities and work toward improvement. This approach helps businesses navigate challenges in the competitive landscape and ensures they are well-positioned to capitalize on newer opportunities and drive long-term success.

Key Company Profiles

The report delves into recent significant developments in the Artificial Intelligence in Medical Imaging Market, highlighting leading vendors and their innovative profiles. These include Agfa-Gevaert Group, Arterys Inc., Behold.ai Technologies Limited, Butterfly Network, Inc., Caption Health, Inc., Dia Imaging Analysis Ltd, Dr CADx, EchoNous, Inc., Enlitic, Inc., Freenome, Fujifilm Holdings Corporation, Gauss Surgical Inc., GE Healthcare, International Business Machines Corporation, Lunit Inc., Nano-X Imaging Ltd., NVIDIA Corporation, RetinAI, RetinAi Medical AG, Siemens Healthineers AG, SigTuple, Subtle Medical, VoxelCloud, Zebra Medical Vision, and Brainminer Ltd.

Market Segmentation & Coverage

This research report categorizes the Artificial Intelligence in Medical Imaging Market to forecast the revenues and analyze trends in each of the following sub-markets:

• Based on Offering, market is studied across Services and Software Tools/Platform.
• Based on Image Acquisition Technology, market is studied across Computed Tomography, Magnetic Resonance Imaging, Molecular Imaging, Ultrasound Imaging, and X-Ray.
• Based on Application, market is studied across Digital Pathology and Oncology.
• Based on End-user, market is studied across Diagnostic Centers and Hospitals.
• Based on Region, market is studied across Americas, Asia-Pacific, and Europe, Middle East & Africa. The Americas is further studied across Argentina, Brazil, Canada, Mexico, and United States. The United States is further studied across California, Florida, Illinois, New York, Ohio, Pennsylvania, and Texas. The Asia-Pacific is further studied across Australia, China, India, Indonesia, Japan, Malaysia, Philippines, Singapore, South Korea, Taiwan, Thailand, and Vietnam. The Europe, Middle East & Africa is further studied across Denmark, Egypt, Finland, France, Germany, Israel, Italy, Netherlands, Nigeria, Norway, Poland, Qatar, Russia, Saudi Arabia, South Africa, Spain, Sweden, Switzerland, Turkey, United Arab Emirates, and United Kingdom.

The report offers a comprehensive analysis of the market, covering key focus areas:

1. Market Penetration: A detailed review of the current market environment, including extensive data from top industry players, evaluating their market reach and overall influence.

2. Market Development: Identifies growth opportunities in emerging markets and assesses expansion potential in established sectors, providing a strategic roadmap for future growth.

3. Market Diversification: Analyzes recent product launches, untapped geographic regions, major industry advancements, and strategic investments reshaping the market.

4. Competitive Assessment & Intelligence: Provides a thorough analysis of the competitive landscape, examining market share, business strategies, product portfolios, certifications, regulatory approvals, patent trends, and technological advancements of key players.

5. Product Development & Innovation: Highlights cutting-edge technologies, R&D activities, and product innovations expected to drive future market growth.

The report also answers critical questions to aid stakeholders in making informed decisions:

1. What is the current market size, and what is the forecasted growth?

2. Which products, segments, and regions offer the best investment opportunities?

3. What are the key technology trends and regulatory influences shaping the market?

4. How do leading vendors rank in terms of market share and competitive positioning?

5. What revenue sources and strategic opportunities drive vendors' market entry or exit strategies?

Table of Contents

1. Preface

• 1.1. Objectives of the Study
• 1.2. Market Segmentation & Coverage
• 1.3. Years Considered for the Study
• 1.4. Currency & Pricing
• 1.5. Language
• 1.6. Stakeholders

2. Research Methodology

• 2.1. Define: Research Objective
• 2.2. Determine: Research Design
• 2.3. Prepare: Research Instrument
• 2.4. Collect: Data Source
• 2.5. Analyze: Data Interpretation
• 2.6. Formulate: Data Verification
• 2.7. Publish: Research Report
• 2.8. Repeat: Report Update

3. Executive Summary

4. Market Overview

5. Market Insights

• 5.1. Market Dynamics
  • 5.1.1. Drivers
    • 5.1.1.1. Significant benefits of AI in medical imaging
    • 5.1.1.2. Government initiatives to promote the use of artificial intelligence
    • 5.1.1.3. Adoption of advanced analytics in medical imaging
  • 5.1.2. Restraints
    • 5.1.2.1. High costs associated with development and deployment of AI
  • 5.1.3. Opportunities
    • 5.1.3.1. Emerging investments in developing advanced AI tools
    • 5.1.3.2. Development of smart hospitals and higher adoption of AI
  • 5.1.4. Challenges
    • 5.1.4.1. Data security issues associated with AI in governance
• 5.2. Market Segmentation Analysis
• 5.3. Porter's Five Forces Analysis
  • 5.3.1. Threat of New Entrants
  • 5.3.2. Threat of Substitutes
  • 5.3.3. Bargaining Power of Customers
  • 5.3.4. Bargaining Power of Suppliers
  • 5.3.5. Industry Rivalry
• 5.4. PESTLE Analysis
  • 5.4.1. Political
  • 5.4.2. Economic
  • 5.4.3. Social
  • 5.4.4. Technological
  • 5.4.5. Legal
  • 5.4.6. Environmental

6. Artificial Intelligence in Medical Imaging Market, by Offering

• 6.1. Introduction
• 6.2. Services
• 6.3. Software Tools/Platform

7. Artificial Intelligence in Medical Imaging Market, by Image Acquisition Technology

• 7.1. Introduction
• 7.2. Computed Tomography
• 7.3. Magnetic Resonance Imaging
• 7.4. Molecular Imaging
• 7.5. Ultrasound Imaging
• 7.6. X-Ray

8. Artificial Intelligence in Medical Imaging Market, by Application

• 8.1. Introduction
• 8.2. Digital Pathology
• 8.3. Oncology

9. Artificial Intelligence in Medical Imaging Market, by End-user

• 9.1. Introduction
• 9.2. Diagnostic Centers
• 9.3. Hospitals

10. Americas Artificial Intelligence in Medical Imaging Market

• 10.1. Introduction
• 10.2. Argentina
• 10.3. Brazil
• 10.4. Canada
• 10.5. Mexico
• 10.6. United States

11. Asia-Pacific Artificial Intelligence in Medical Imaging Market

• 11.1. Introduction
• 11.2. Australia
• 11.3. China
• 11.4. India
• 11.5. Indonesia
• 11.6. Japan
• 11.7. Malaysia
• 11.8. Philippines
• 11.9. Singapore
• 11.10. South Korea
• 11.11. Taiwan
• 11.12. Thailand
• 11.13. Vietnam

12. Europe, Middle East & Africa Artificial Intelligence in Medical Imaging Market

• 12.1. Introduction
• 12.2. Denmark
• 12.3. Egypt
• 12.4. Finland
• 12.5. France
• 12.6. Germany
• 12.7. Israel
• 12.8. Italy
• 12.9. Netherlands
• 12.10. Nigeria
• 12.11. Norway
• 12.12. Poland
• 12.13. Qatar
• 12.14. Russia
• 12.15. Saudi Arabia
• 12.16. South Africa
• 12.17. Spain
• 12.18. Sweden
• 12.19. Switzerland
• 12.20. Turkey
• 12.21. United Arab Emirates
• 12.22. United Kingdom

13. Competitive Landscape

• 13.1. Market Share Analysis, 2023
• 13.2. FPNV Positioning Matrix, 2023
• 13.3. Competitive Scenario Analysis
• 13.4. Strategy Analysis & Recommendation

Companies Mentioned

• 1. Agfa-Gevaert Group
• 2. Arterys Inc.
• 3. Behold.ai Technologies Limited
• 4. Butterfly Network, Inc.
• 5. Caption Health, Inc.
• 6. Dia Imaging Analysis Ltd
• 7. Dr CADx
• 8. EchoNous, Inc.
• 9. Enlitic, Inc.
• 10. Freenome
• 11. Fujifilm Holdings Corporation
• 12. Gauss Surgical Inc.
• 13. GE Healthcare
• 14. International Business Machines Corporation
• 15. Lunit Inc.
• 16. Nano-X Imaging Ltd.
• 17. NVIDIA Corporation
• 18. RetinAI
• 19. RetinAi Medical AG
• 20. Siemens Healthineers AG
• 21. SigTuple
• 22. Subtle Medical
• 23. VoxelCloud
• 24. Zebra Medical Vision
• 25. Brainminer Ltd