인공지능(AI) 진단 시장 규모, 점유율, 동향 및 성장 분석 보고서(2026-2034년)

The Artificial Intelligence in Diagnostics Market size is expected to reach USD 16.77 Billion in 2034 from USD 2.64 Billion (2025) growing at a CAGR of 22.8% during 2026-2034.

The global artificial intelligence in diagnostics market is expanding rapidly due to advancements in machine learning and medical imaging technologies. AI-powered tools are increasingly used to analyze radiology images, pathology slides, and patient data for early disease detection. Growing investments in digital healthcare infrastructure and rising acceptance of AI-driven clinical support systems are accelerating market growth.

Major growth drivers include shortages of skilled healthcare professionals, increasing diagnostic workloads, and the need for improved accuracy and efficiency. AI algorithms enhance image interpretation, reduce diagnostic errors, and support faster clinical decision-making. Integration with electronic health records and cloud-based platforms further strengthens implementation across hospitals and diagnostic centers.

Looking forward, regulatory approvals and reimbursement policies will play a crucial role in broader adoption. Continued improvements in algorithm transparency, validation, and interoperability will increase clinician trust. As healthcare systems embrace data-driven medicine, AI in diagnostics is expected to become a core component of modern clinical workflows.

Our reports are meticulously crafted to provide clients with comprehensive and actionable insights into various industries and markets. Each report encompasses several critical components to ensure a thorough understanding of the market landscape:

Market Overview: A detailed introduction to the market, including definitions, classifications, and an overview of the industry's current state.

Market Dynamics: In-depth analysis of key drivers, restraints, opportunities, and challenges influencing market growth. This section examines factors such as technological advancements, regulatory changes, and emerging trends.

Segmentation Analysis: Breakdown of the market into distinct segments based on criteria like product type, application, end-user, and geography. This analysis highlights the performance and potential of each segment.

Competitive Landscape: Comprehensive assessment of major market players, including their market share, product portfolio, strategic initiatives, and financial performance. This section provides insights into the competitive dynamics and key strategies adopted by leading companies.

Market Forecast: Projections of market size and growth trends over a specified period, based on historical data and current market conditions. This includes quantitative analyses and graphical representations to illustrate future market trajectories.

Regional Analysis: Evaluation of market performance across different geographical regions, identifying key markets and regional trends. This helps in understanding regional market dynamics and opportunities.

Emerging Trends and Opportunities: Identification of current and emerging market trends, technological innovations, and potential areas for investment. This section offers insights into future market developments and growth prospects.

MARKET SEGMENTATION

By Component

• Software
• Hardware
• Services

By Diagnosis

• Cardiology
• Oncology
• Pathology
• Radiology
• Chest and Lung
• Neurology
• Others

COMPANIES PROFILED

• Siemens Healthineers, Zebra Technologies Corporation, Riverain Technologies, Vuno Inc, Aidoc, NovaSignal Corporation, Imagen, Digital Diagnostics Inc, GE Healthcare, AliveCor Inc, F HoffmannLa Roche Ltd
• We can customise the report as per your requirements.

TABLE OF CONTENTS

Chapter 1. PREFACE

• 1.1. Market Segmentation & Scope
• 1.2. Market Definition
• 1.3. Information Procurement
  • 1.3.1 Information Analysis
  • 1.3.2 Market Formulation & Data Visualization
  • 1.3.3 Data Validation & Publishing
• 1.4. Research Scope and Assumptions
  • 1.4.1 List of Data Sources

Chapter 2. EXECUTIVE SUMMARY

• 2.1. Market Snapshot
• 2.2. Segmental Outlook
• 2.3. Competitive Outlook

Chapter 3. MARKET VARIABLES, TRENDS, FRAMEWORK

• 3.1. Market Lineage Outlook
• 3.2. Penetration & Growth Prospect Mapping
• 3.3. Value Chain Analysis
• 3.4. Regulatory Framework
  • 3.4.1 Standards & Compliance
  • 3.4.2 Regulatory Impact Analysis
• 3.5. Market Dynamics
  • 3.5.1 Market Drivers
  • 3.5.2 Market Restraints
  • 3.5.3 Market Opportunities
  • 3.5.4 Market Challenges
• 3.6. Porter's Five Forces Analysis
• 3.7. PESTLE Analysis

Chapter 4. GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET: BY COMPONENT 2022-2034 (USD MN)

• 4.1. Market Analysis, Insights and Forecast Component
• 4.2. Software Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.3. Hardware Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 4.4. Services Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 5. GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET: BY DIAGNOSIS 2022-2034 (USD MN)

• 5.1. Market Analysis, Insights and Forecast Diagnosis
• 5.2. Cardiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.3. Oncology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.4. Pathology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.5. Radiology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.6. Chest and Lung Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.7. Neurology Estimates and Forecasts By Regions 2022-2034 (USD MN)
• 5.8. Others Estimates and Forecasts By Regions 2022-2034 (USD MN)

Chapter 6. GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS MARKET: BY REGION 2022-2034(USD MN)

• 6.1. Regional Outlook
• 6.2. North America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.2.1 By Component
  • 6.2.2 By Diagnosis
  • 6.2.3 United States
  • 6.2.4 Canada
  • 6.2.5 Mexico
• 6.3. Europe Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.3.1 By Component
  • 6.3.2 By Diagnosis
  • 6.3.3 United Kingdom
  • 6.3.4 France
  • 6.3.5 Germany
  • 6.3.6 Italy
  • 6.3.7 Russia
  • 6.3.8 Rest Of Europe
• 6.4. Asia-Pacific Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.4.1 By Component
  • 6.4.2 By Diagnosis
  • 6.4.3 India
  • 6.4.4 Japan
  • 6.4.5 South Korea
  • 6.4.6 Australia
  • 6.4.7 South East Asia
  • 6.4.8 Rest Of Asia Pacific
• 6.5. Latin America Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.5.1 By Component
  • 6.5.2 By Diagnosis
  • 6.5.3 Brazil
  • 6.5.4 Argentina
  • 6.5.5 Peru
  • 6.5.6 Chile
  • 6.5.7 South East Asia
  • 6.5.8 Rest of Latin America
• 6.6. Middle East & Africa Market Analysis, Insights and Forecast, 2022-2034 (USD MN)
  • 6.6.1 By Component
  • 6.6.2 By Diagnosis
  • 6.6.3 Saudi Arabia
  • 6.6.4 UAE
  • 6.6.5 Israel
  • 6.6.6 South Africa
  • 6.6.7 Rest of the Middle East And Africa

Chapter 7. COMPETITIVE LANDSCAPE

• 7.1. Recent Developments
• 7.2. Company Categorization
• 7.3. Supply Chain & Channel Partners (based on availability)
• 7.4. Market Share & Positioning Analysis (based on availability)
• 7.5. Vendor Landscape (based on availability)
• 7.6. Strategy Mapping

Chapter 8. COMPANY PROFILES OF GLOBAL ARTIFICIAL INTELLIGENCE IN DIAGNOSTICS INDUSTRY

• 8.1. Top Companies Market Share Analysis
• 8.2. Company Profiles
  • 8.2.1 Siemens Healthineers
  • 8.2.2 Zebra Technologies Corporation
  • 8.2.3 Riverain Technologies
  • 8.2.4 Vuno Inc
  • 8.2.5 Aidoc
  • 8.2.6 NovaSignal Corporation
  • 8.2.7 Imagen
  • 8.2.8 Digital Diagnostics Inc
  • 8.2.9 GE Healthcare
  • 8.2.10 AliveCor Inc
  • 8.2.11 F. Hoffmann-La Roche Ltd