Global Artificial Intelligence In Pathology Market Size Study, by Offering, by Application, by Technology, by Indication, by End User and Regional Forecasts 2024-2032

Description

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.

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