세계의 병리용 인공지능 시장 규모 조사 : 제공별, 용도별, 기술별, 적응증별, 최종사용자별, 지역별 예측(2024-2032년)

The Global Artificial Intelligence in Pathology Market is valued approximately at USD 942.25 Million in 2023 and is anticipated to grow with a healthy growth rate of more than 32.54% over the forecast period 2024-2032. Artificial Intelligence (AI) in pathology refers to the application of AI technologies, including machine learning and deep learning algorithms, to analyze and interpret pathological data. This field leverages AI to enhance various aspects of pathology, including the diagnosis, prognosis, and treatment of diseases. The integration of AI technologies in pathology is revolutionizing diagnostic processes, enhancing accuracy, and improving patient outcomes. AI in pathology enables the analysis of vast datasets, identifying patterns and anomalies that may be missed by human eyes, thereby facilitating early disease detection and personalized treatment plans.

The increasing prevalence of chronic diseases, coupled with advancements in AI algorithms and computational power, is significantly propelling the market's growth. Government initiatives promoting AI in healthcare are further stimulating the market. For instance, AI-powered tools can enhance cancer diagnosis by analyzing digital pathology images to detect subtle abnormalities, leading to more accurate and early diagnoses. AI technologies, including sophisticated machine learning models and deep learning algorithms, are enhancing the ability to analyze complex pathological data with greater precision. These advancements allow for more accurate diagnoses, better disease classification, and improved patient outcomes. The rapid evolution of computational power further supports these AI advancements by enabling the processing of large volumes of data quickly. The demand for AI-driven pathology solutions is growing, driven by the need for precision medicine and improved diagnostic workflows.

The key regions considered for the global Artificial Intelligence In Pathology market study include North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. In 2023, North America is expected to hold the dominant market share, driven by the presence of major technology players, advanced healthcare infrastructure, and significant investments in AI research. The region benefits from a robust healthcare infrastructure, significant investments in AI research and development, and a strong presence of leading technology companies and biotech firms. North America's advanced computational resources and access to extensive healthcare datasets facilitate the development and application of cutting-edge AI algorithms in pathology. Additionally, the supportive regulatory environment and early adoption of AI technologies by healthcare institutions contribute to the region's market leadership. Europe is also anticipated to witness substantial growth, supported by increased R&D spending and favorable government policies. Furthermore, the Asia-Pacific region is projected to exhibit the fastest growth rate, attributed to rising healthcare expenditures and increasing demand for personalized medicine.

Major market players included in this report are:

• Koninklijke Philips N.V.
• Arterys
• Invicro
• Siemens Healthcare
• NVIDIA
• 3DHISTECH
• AI Medical Service Inc.
• General Electric
• PathAI
• Inspirata
• GE Healthcare
• Roche
• IBM
• Visage Imaging

The detailed segments and sub-segments of the market are explained below:

By Offering:

• Software
• Services

By Application:

• Drug Discovery
• Disease Diagnosis & Prognosis
• Clinical Workflow
• Others

By Technology:

• Machine Learning
• Deep Learning
• Image Recognition
• Natural Language Processing
• Predictive Analytics

By Indication:

• Cancer
• Infectious Disease
• Autoimmune & Inflammatory Disease
• Neurology Disorders
• Others

By End User:

• Pharmaceutical & Biotechnology Companies
• Hospitals & Diagnostic Centers
• Academic & Research Institutes
• Others

By Region:

• North America
• U.S.
• Canada
• Europe
• UK
• Germany
• France
• Spain
• Italy
• ROE
• Asia Pacific
• China
• India
• Japan
• Australia
• South Korea
• RoAPAC
• Latin America
• Brazil
• Mexico
• Rest of Latin America
• Middle East & Africa
• Saudi Arabia
• South Africa
• RoMEA

Years considered for the study are as follows:

• Historical year - 2022
• Base year - 2023
• Forecast period - 2024 to 2032

Key Takeaways:

• Market Estimates & Forecast for 10 years from 2022 to 2032.
• Annualized revenues and regional level analysis for each market segment.
• Detailed analysis of geographical landscape with Country level analysis of major regions.
• Competitive landscape with information on major players in the market.
• Analysis of key business strategies and recommendations on future market approach.
• Analysis of competitive structure of the market.
• Demand side and supply side analysis of the market.

Table of Contents

Chapter 1. Global Artificial Intelligence In Pathology Market Executive Summary

• 1.1. Global Artificial Intelligence In Pathology Market Size & Forecast (2022-2032)
• 1.2. Regional Summary
• 1.3. Segmental Summary
  • 1.3.1. By Offering
  • 1.3.2. By Application
  • 1.3.3. By Technology
  • 1.3.4. By Indication
  • 1.3.5. By End User
• 1.4. Key Trends
• 1.5. Recession Impact
• 1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Artificial Intelligence In Pathology Market Definition and Research Assumptions

• 2.1. Research Objective
• 2.2. Market Definition
• 2.3. Research Assumptions
  • 2.3.1. Inclusion & Exclusion
  • 2.3.2. Limitations
  • 2.3.3. Supply Side Analysis
    • 2.3.3.1. Availability
    • 2.3.3.2. Infrastructure
    • 2.3.3.3. Regulatory Environment
    • 2.3.3.4. Market Competition
    • 2.3.3.5. Economic Viability (Consumer's Perspective)
  • 2.3.4. Demand Side Analysis
    • 2.3.4.1. Regulatory frameworks
    • 2.3.4.2. Technological Advancements
    • 2.3.4.3. Environmental Considerations
    • 2.3.4.4. Consumer Awareness & Acceptance
• 2.4. Estimation Methodology
• 2.5. Years Considered for the Study
• 2.6. Currency Conversion Rates

Chapter 3. Global Artificial Intelligence In Pathology Market Dynamics

• 3.1. Market Drivers
  • 3.1.1. Increasing Adoption of AI in Healthcare
  • 3.1.2. Rising Prevalence of Chronic Diseases
  • 3.1.3. Government Initiatives to Promote AI in Healthcare
• 3.2. Market Challenges
  • 3.2.1. High Implementation Costs
  • 3.2.2. Data Privacy and Security Concerns
• 3.3. Market Opportunities
  • 3.3.1. Integration of AI in Various Bioinformatics Applications
  • 3.3.2. Expansion in Emerging Markets

Chapter 4. Global Artificial Intelligence In Pathology Market Industry Analysis

• 4.1. Porter's 5 Force Model
  • 4.1.1. Bargaining Power of Suppliers
  • 4.1.2. Bargaining Power of Buyers
  • 4.1.3. Threat of New Entrants
  • 4.1.4. Threat of Substitutes
  • 4.1.5. Competitive Rivalry
  • 4.1.6. Futuristic Approach to Porter's 5 Force Model
  • 4.1.7. Porter's 5 Force Impact Analysis
• 4.2. PESTEL Analysis
  • 4.2.1. Political
  • 4.2.2. Economical
  • 4.2.3. Social
  • 4.2.4. Technological
  • 4.2.5. Environmental
  • 4.2.6. Legal
• 4.3. Top Investment Opportunity
• 4.4. Top Winning Strategies
• 4.5. Disruptive Trends
• 4.6. Industry Expert Perspective
• 4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence In Pathology Market Size & Forecasts by Offering 2022-2032

• 5.1. Segment Dashboard
• 5.2. Global Artificial Intelligence In Pathology Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Million)
  • 5.2.1. Software
  • 5.2.2. Services

Chapter 6. Global Artificial Intelligence In Pathology Market Size & Forecasts by Application 2022-2032

• 6.1. Segment Dashboard
• 6.2. Global Artificial Intelligence In Pathology Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Million)
  • 6.2.1. Drug Discovery
  • 6.2.2. Disease Diagnosis & Prognosis
  • 6.2.3. Clinical Workflow
  • 6.2.4. Others

Chapter 7. Global Artificial Intelligence In Pathology Market Size & Forecasts by Technology 2022-2032

• 7.1. Segment Dashboard
• 7.2. Global Artificial Intelligence In Pathology Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Million)
  • 7.2.1. Machine Learning
  • 7.2.2. Deep Learning
  • 7.2.3. Image Recognition
  • 7.2.4. Natural Language Processing
  • 7.2.5. Predictive Analytics

Chapter 8. Global Artificial Intelligence In Pathology Market Size & Forecasts by Indication 2022-2032

• 8.1. Segment Dashboard
• 8.2. Global Artificial Intelligence In Pathology Market: Indication Revenue Trend Analysis, 2022 & 2032 (USD Million)
  • 8.2.1. Cancer
  • 8.2.2. Infectious Disease
  • 8.2.3. Autoimmune & Inflammatory Disease
  • 8.2.4. Neurology Disorders
  • 8.2.5. Others

Chapter 9. Global Artificial Intelligence In Pathology Market Size & Forecasts by End User 2022-2032

• 9.1. Segment Dashboard
• 9.2. Global Artificial Intelligence In Pathology Market: End User Revenue Trend Analysis, 2022 & 2032 (USD Million)
  • 9.2.1. Pharmaceutical & Biotechnology Companies
  • 9.2.2. Hospitals & Diagnostic Centers
  • 9.2.3. Academic & Research Institutes
  • 9.2.4. Others

Chapter 10. Global Artificial Intelligence In Pathology Market Size & Forecasts by Region 2022-2032

• 10.1. North America Artificial Intelligence In Pathology Market
  • 10.1.1. U.S. Artificial Intelligence In Pathology Market
    • 10.1.1.1. Application breakdown size & forecasts, 2022-2032
    • 10.1.1.2. Technology breakdown size & forecasts, 2022-2032
  • 10.1.2. Canada Artificial Intelligence In Pathology Market
• 10.2. Europe Artificial Intelligence In Pathology Market
  • 10.2.1. U.K. Artificial Intelligence In Pathology Market
  • 10.2.2. Germany Artificial Intelligence In Pathology Market
  • 10.2.3. France Artificial Intelligence In Pathology Market
  • 10.2.4. Spain Artificial Intelligence In Pathology Market
  • 10.2.5. Italy Artificial Intelligence In Pathology Market
  • 10.2.6. Rest of Europe Artificial Intelligence In Pathology Market
• 10.3. Asia-Pacific Artificial Intelligence In Pathology Market
  • 10.3.1. China Artificial Intelligence In Pathology Market
  • 10.3.2. India Artificial Intelligence In Pathology Market
  • 10.3.3. Japan Artificial Intelligence In Pathology Market
  • 10.3.4. Australia Artificial Intelligence In Pathology Market
  • 10.3.5. South Korea Artificial Intelligence In Pathology Market
  • 10.3.6. Rest of Asia Pacific Artificial Intelligence In Pathology Market
• 10.4. Latin America Artificial Intelligence In Pathology Market
  • 10.4.1. Brazil Artificial Intelligence In Pathology Market
  • 10.4.2. Mexico Artificial Intelligence In Pathology Market
  • 10.4.3. Rest of Latin America Artificial Intelligence In Pathology Market
• 10.5. Middle East & Africa Artificial Intelligence In Pathology Market
  • 10.5.1. Saudi Arabia Artificial Intelligence In Pathology Market
  • 10.5.2. South Africa Artificial Intelligence In Pathology Market
  • 10.5.3. Rest of Middle East & Africa Artificial Intelligence In Pathology Market

Chapter 11. Competitive Intelligence

• 11.1. Key Company SWOT Analysis
• 11.2. Top Market Strategies
• 11.3. Company Profiles
  • 11.3.1. Arterys
    • 11.3.1.1. Key Information
    • 11.3.1.2. Overview
    • 11.3.1.3. Financial (Subject to Data Availability)
    • 11.3.1.4. Product Summary
    • 11.3.1.5. Market Strategies
  • 11.3.2. Invicro
  • 11.3.3. Siemens Healthcare
  • 11.3.4. NVIDIA
  • 11.3.5. 3DHISTECH
  • 11.3.6. AI Medical Service Inc.
  • 11.3.7. General Electric
  • 11.3.8. Inspirata
  • 11.3.9. Roche
  • 11.3.10. IBM
  • 11.3.11. Visage Imaging
  • 11.3.12. Koninklijke Philips N.V.
  • 11.3.13. PathAI
  • 11.3.14. GE Healthcare

Chapter 12. Research Process

• 12.1. Research Process
  • 12.1.1. Data Mining
  • 12.1.2. Analysis
  • 12.1.3. Market Estimation
  • 12.1.4. Validation
  • 12.1.5. Publishing
• 12.2. Research Attributes