Global Al in Pathology Market Size, Share & Trends Analysis Report By Type, By Material, By End-User, By Region, And Segment Forecasts, 2024 - 2031
- Published Date : 2024-12-04
- Pages : 100
- Report Id : 40559
- Categories : Healthcare
This report provides a comprehensive analysis of the Global Al in Pathology Market, including historical market sizes from 2019 to 2022 and forecasts for 2024 to 2031. The market is estimated to be valued at USD 82.8 Million in 2023 and is projected to grow to approximately USD 169.8 Million by 2031, reflecting a compound annual growth rate (CAGR) of 15.40% during the forecast period. This growth underscores the increasing demand for advanced data management solutions and highlights the importance of technological innovations in the sector.
The Global AI in Pathology Market is witnessing rapid growth as artificial intelligence (AI) technologies are increasingly applied to pathology to enhance diagnostic accuracy, improve efficiency, and enable personalized medicine. AI solutions, particularly machine learning algorithms, assist pathologists in analyzing medical images, detecting anomalies, and making data-driven decisions, leading to faster and more accurate diagnoses. The market is driven by the growing demand for precision medicine, the need for reducing human errors in pathology, and advancements in AI technologies, such as deep learning and natural language processing. AI applications are particularly impactful in fields such as oncology, where they assist in the detection of cancerous cells and tissues, as well as in the analysis of biopsy samples. The market is also expanding due to the rising burden of chronic diseases and the need for more efficient healthcare solutions. As AI algorithms evolve and become more capable of handling complex data, they are transforming pathology workflows, improving outcomes, and reducing costs. The integration of AI with digital pathology systems is driving the adoption of AI-powered solutions in clinical settings, research institutions, and laboratories. With increasing investments in healthcare technology and advancements in data storage and computing power, the AI in pathology market is expected to grow significantly over the coming years.
For the geography segment, regional supply, demand, major players, and price are presented from 2019 to 2031. This report covers the following regions:
North America
Asia-Pacific
Europe
Middle East and Africa
South America
Segments-
By Type:
AI Software
AI Services
Others
The By Type segment of the AI in Pathology Market is divided into software and services. AI Software includes machine learning-based applications, image recognition tools, and diagnostic algorithms, primarily designed to analyze pathology images and assist in identifying diseases. These tools can process histopathology slides, digitized images, and genomics data to detect abnormalities like tumors, cell mutations, or infectious diseases. AI Services, on the other hand, encompass consulting, implementation, and maintenance services that help healthcare institutions integrate AI tools into their pathology workflows. The services segment is gaining traction as more institutions look to adopt AI solutions but require expert support for effective implementation and optimization. Both software and services contribute to the transformation of pathology by enabling faster diagnoses, reducing manual labor, and increasing diagnostic precision, which ultimately leads to improved patient outcomes.
By Material-
Digital Pathology Platforms
Storage Solutions
Processing Units
Others
The By Material segment refers to the hardware components and infrastructure required for AI-powered pathology solutions. This includes Digital Pathology Platforms, where images are scanned, stored, and analyzed. These platforms require advanced imaging technologies like high-resolution scanners and optical devices to capture detailed pathology images. Storage Solutions, such as cloud-based platforms and local servers, are essential to handle the large amounts of data generated by AI algorithms. Processing Units, including high-performance computing systems, GPUs, and other hardware, are crucial for running AI models that process and analyze pathology data. AI in pathology demands high computational power, as the analysis of complex medical images and datasets involves large-scale data processing. As AI adoption grows, advancements in material technologies related to storage, processing, and data transmission will continue to support and enhance AI-based pathology solutions.
By End-User-
Hospitals and Clinics
Laboratories
Research Institutes
Others
The By End User segment of the AI in Pathology Market includes Hospitals and Clinics, Laboratories, and Research Institutes. Hospitals and Clinics are the largest adopters of AI in pathology, as they use AI-powered solutions to assist pathologists in diagnosing diseases, particularly in oncology, dermatology, and infectious diseases. Laboratories, especially those specializing in clinical testing and diagnostic services, leverage AI for automating slide scanning, reducing time spent on manual tasks, and ensuring accurate diagnoses. Research Institutes utilize AI to conduct studies in disease pathology, including the development of new diagnostic markers and therapeutic strategies. Additionally, AI is being employed in drug development and biomarker discovery, where the use of large datasets helps identify correlations that might be missed in traditional manual analysis. The expansion of AI adoption across these diverse end users is expected to drive the continued growth of the market.
Key Players
IBM
Google Health
Philips Healthcare
Siemens Healthineers
GE Healthcare
Aiforia Technologies
PathAI
DeepMind Technologies
Zebra Medical Vision
Labcorp
Proscia
Viz.ai
Metaoptima Technology
Owkin
Recursion Pharmaceuticals
For the competitor segment, the report includes global key players and some small players. The information for each competitor includes:
Company Profile
Main Business Information
Financial Analysis
Market Share
Please ask for sample pages for the full company list
Base Year: 2023
Historical Data: from 2019 to 2022
Forecast Data: from 2024 to 2031
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TABLE OF CONTENTS
Market Taxonomy
1. Executive Summary
1.1. Market Overview
1.2. Market Analysis and Recommendations
1.3. RA Analysis and Recommendations
2. Market Introduction
2.1. Market Definition
3. Market Background
3.1. Market Overview
3.1.1. Global Global Al in Pathology Market Outlook
3.1.2. Global Global Al in Pathology Market Overview
3.2. Macro-Economic Overview
3.2.1. GDP Growth
3.2.2. Retail Industry Growth
3.3. Pricing Analysis
3.4. Challenges related to the adoption of Global Global Al in Pathology Market
3.5. Regulations of Global Global Al in Pathology Market
3.6. Forecast Factors: Relevance and Impact
3.7. Market Dynamics
3.7.1. Drivers
3.7.2. Restraints
3.7.3. Opportunity
3.7.4. Trends
3.7.5. SWOT Analysis
4. Market Forecast
4.1. Market Value Projections
4.2. Market Size Projections
4.3. Y-o-Y Projections
4.4. Absolute Opportunity Analysis
5. Global Global Al in Pathology Market Analysis By Type
5.1. Introduction
5.1.1. Market Value Share Analysis By Type
5.1.2. Y-o-Y Growth Analysis By Type
5.2. Historical Market Size (USD Mn) Analysis 2018-2022 By Type
5.3. Market Attractiveness Analysis By Type
6. Global Global Al in Pathology Market Analysis By Material
6.1. Introduction
6.1.1. Market Value Share Analysis By Material
6.1.2. Y-o-Y Growth Analysis By Material
6.2. Historical Market Size (USD Mn) Analysis 2018-2022 By Material
6.3. Market Attractiveness Analysis By Material
7. Market Structure Analysis
7.1. Market Analysis by Tier of Companies
7.2. Market Concentration
8. Competition Analysis
8.1. Competition Dashboard
8.2. Company Profiles (15 Companies)
8.2.1 IBM
8.2.1.1. Overview
8.2.1.2. Technology Portfolio
8.2.1.3. Financial Overview
8.2.2. Google Health
8.2.2.1. Overview
8.2.2.2. Technology Portfolio
8.2.2.3. Financial Overview
8.2.3. Philips Healthcare
8.2.3.1. Overview
8.2.3.2. Technology Portfolio
8.2.3.3. Financial Overview
8.2.4. Siemens Healthineers
8.2.4.1. Overview
8.2.4.2. Technology Portfolio
8.2.4.3. Financial Overview
8.2.5. GE Healthcare
8.2.5.1. Overview
8.2.5.2. Technology Portfolio
8.2.5.3. Financial Overview
8.2.6. Aiforia Technologies
8.2.6.1. Overview
8.2.6.2. Technology Portfolio
8.2.6.3. Financial Overview
8.2.7. PathAI
8.2.7.1. Overview
8.2.7.2. Technology Portfolio
8.2.7.3. Financial Overview
8.2.8. DeepMind Technologies
8.2.8.1. Overview
8.2.8.2. Technology Portfolio
8.2.8.3. Financial Overview
8.2.9. Zebra Medical Vision
8.2.9.1. Overview
8.2.8.2. Technology Portfolio
8.2.9.3. Financial Overview
8.2.10. Labcorp
8.2.10.1. Overview
8.2.10.2. Technology Portfolio
8.2.10.3. Financial Overview
8.2.11. Proscia
8.2.11.1. Overview
8.2.11.2. Technology Portfolio
8.2.11.3. Financial Overview
8.2.12. Viz.ai
8.2.12.1. Overview
8.2.12.2. Technology Portfolio
8.2.12.3. Financial Overview
8.2.13. Metaoptima Technology
8.2.13.1. Overview
8.2.13.2. Technology Portfolio
8.2.13.3. Financial Overview
8.2.14. Owkin
8.2.14.1. Overview
8.2.14.2. Technology Portfolio
8.2.14.3. Financial Overview
8.2.15.Recursion Pharmaceuticals
8.2.15.1. Overview
8.2.15.2. Technology Portfolio
8.2.15.3. Financial Overview
9. Global Global Al in Pathology Market Analysis By Region
9.1. Introduction
9.1.1. Market Value Share Analysis By Region
9.1.2. Y-o-Y Growth Analysis By Region
9.2. Historical Market Size (USD Mn) Analysis 2018-2022 By Region
9.2.1. North America
9.2.2. Middle East and Africa
9.2.3. South America
9.2.4. Asia-Pacific
9.2.5. Others
9.3. Current Market Size (USD Mn) Forecast 2023-2030 By Region
9.3.1. North America
9.3.2. Middle East and Africa
9.3.3. South America
9.3.4. Asia-Pacific
9.3.5. Others
9.4. Market Attractiveness Analysis By Region
10. North America Global Global Al in Pathology Market Analysis
10.1. Introduction
10.2. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
10.2.1. U.S.
10.2.2. Canada
10.2.3. Mexico
10.2.4. Rest of North America
10.3. Current Market Size (USD Mn) Forecast 2023-2030 By Country
10.3.1. U.S.
10.3.2. Canada
10.3.3. Mexico
10.3.4. Rest of North America
10.4. Historical Market Size (USD Mn) Analysis 2018-2022 By Type
10.5. Current Market Size (USD Mn) Forecast 2023-2030 By Type
10.6. Historical Market Size (USD Mn) Analysis 2018-2022 By Material
10.7. Current Market Size (USD Mn) Forecast 2023-2030 By Material
11. South America Global Global Al in Pathology Market Analysis
11.1. Introduction
11.2. Regional Pricing Analysis
11.3. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
11.3.1. Brazil
11.3.2. Argentina
11.3.3. Rest of South America
11.4. Current Market Size (USD Mn) Forecast 2023-2030 By Country
11.4.1. Brazil
11.4.2. Argentina
11.4.3. Rest of South America
11.5. Historical Market Size (USD Mn) Analysis 2018-2022 By Type
11.6. Current Market Size (USD Mn) Forecast 2023-2030 By Type
11.7. Historical Market Size (USD Mn) Analysis 2018-2022 By Material
11.8. Current Market Size (USD Mn) Forecast 2023-2030 By Material
12. Europe Global Global Al in Pathology Market Analysis
12.1. Introduction
12.2. Regional Pricing Analysis
12.3. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
12.3.1. Germany
12.3.2. Italy
12.3.3. France
12.3.4. Spain
12.3.5. U.K.
12.3.6. Rest of Europe
12.4. Current Market Size (USD Mn) Forecast 2023-2030 By Country
12.4.1. Germany
12.4.2. Italy
12.4.3. France
12.4.4. Spain
12.4.5. U.K.
12.4.6. Rest of Europe
12.5. Historical Market Size (USD Mn) Analysis 2018-2022 By Type
12.6. Current Market Size (USD Mn) Forecast 2023-2030 By Type
12.7. Historical Market Size (USD Mn) Analysis 2018-2022 By Material
12.8. Current Market Size (USD Mn) Forecast 2023-2030 By Material
13. Middle East and Africa Global Global Al in Pathology Market Analysis
13.1. Introduction
13.2. Regional Pricing Analysis
13.3. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
13.3.1. Saudi Arabia
13.3.2. U.A.E.
13.3.3. South Africa
13.3.4. Turkey
13.3.5. Rest of Middle East and Africa
13.4. Current Market Size (USD Mn) Forecast 2023-2030 By Country
13.4.1. Saudi Arabia
13.4.2. U.A.E.
13.4.3. South Africa
13.4.4. Turkey
13.4.5. Rest of Middle East and Africa
14. Asia-Pacific Global Global Al in Pathology Market Analysis
14.1. Introduction
14.2. Regional Pricing Analysis
14.3. Historical Market Size (USD Mn) Analysis 2018-2022 By Country
14.3.1. China
14.3.2. India
14.3.3. Japan
14.3.4. South Korea
14.3.5. Singapore
14.3.6. Australia and New Zealand
14.3.7. Rest of Asia-Pacific
14.4. Current Market Size (USD Mn) Forecast 2023-2030 By Country
14.4.1. China
14.4.2. India
14.4.3. Japan
14.4.4. South Korea
14.4.5. Singapore
14.4.6. Australia and New Zealand
14.4.7. Rest of Asia-Pacific
i. Research Methodology
ii. Assumptions & Acronyms
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