Global AI in Pathology
Market Report
2025
AI in Pathology Market size is USD 22.4 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 14.3% from 2024 to 2031.
The base year for the calculation is 2024. The historical will be 2021 to 2024. The year 2025 will be estimated one while the forecasted data will be from year 2025 to 2033. When we deliver the report that time we updated report data till the purchase date.
PDF Access: Password protected PDF file, Excel File Access: Quantitative data, PPT Report Access: For the presentation purpose, Cloud Access: Secure Company Account Access.
Share your contact details to receive free updated sample copy/pages of the recently published edition of AI in Pathology Market Report 2025.
According to Cognitive Market Research, the global AI in Pathology Market size is USD 22.4 billion in 2024 and will expand at a compound annual growth rate (CAGR) of 14.3% from 2024 to 2031.
2021 | 2025 | 2033 | CAGR | |
---|---|---|---|---|
Global AI in Pathology Market Sales Revenue | 121212 | 121212 | 121212 | 14.3% |
Base Year | 2024 |
Historical Data Time Period | 2021-2024 |
Forecast Period | 2025-2033 |
Market Split by Component |
|
Market Split by Neural |
|
Market Split by Application |
|
Market Split by End User |
|
List of Competitors |
|
Regional Analysis |
|
Country Analysis |
|
Report scope is customizable as we have a huge database of AI in Pathology industry. We can deliver an exclusive report Edition/Consultation as per your data requirements. Request for your Free Sample Pages.
AI in Pathology Market is Segmented as below. Particular segment of your interest can be provided without any additional cost. Download the Sample Pages!
The AI Pathology Market refers to the application of AI-based algorithms and machine-learning techniques in the field of pathology. Pathology, a key science in medicine, is the study of tissues and cells to help diagnose diseases, understand their course, and make treatment decisions. With the advent of artificial intelligence, this traditional practice is undergoing a fundamental revolution, aided by enhanced computing capabilities that provide pathologists and healthcare providers with previously unseen insights. Moreover, Some of the expected key drivers include increased government initiatives to encourage healthcare providers and other healthcare organizations to adopt AI-based diagnostic technologies, as well as investments by non-profits and private companies in order to improve data sharing, clinical outcomes, and cost reduction. to accelerate the growth of the artificial intelligence pathology market throughout the forecast period. Furthermore, significant demand for e-diagnosis services in healthcare due to increased government healthcare spending is driving market expansion. Furthermore, the growing desire to lower diagnostic costs, improve patient care, and minimise equipment downtime is one of the drivers driving the adoption of artificial intelligence in pathology and diagnostics.
Technological Progress - Rapid technological improvements in digital pathology systems are expected to contribute to market growth significantly. Digital imaging, computerization, robotic light microscopy, and various fiber optic connectivity are all key factors driving market expansion. Whole slide imaging has several advantages over typical light microscopes, which are projected to generate profitable prospects for the market during the projection period. Furthermore, technologies such as microarrays, as well as the introduction of a wide range of predictive models such as hybrid models and API algorithms, are projected to fuel the growth of the digital image analysis market. The growing preference for computer-aided diagnosis, which integrates image processing, physics, mathematics, and computational algorithms, allows for rapid illness identification, the determination of anatomical structures of interest, the measurement of disease development, and risk assessment. Shortage of skilled pathologists
Lack of Sufficient data to train the AI algorithms High costs of digital pathology system
We have various report editions of AI in Pathology Market, hence please contact our sales team and author directly to obtain/purchase a desired Edition eg, Global Edition, Regional Edition, Country Specific Report Edition, Company Profiles, Forecast Edition, etc. Request for your Free Sample PDF/Online Access.
The reintroduction of tariffs under President Trump’s “Liberation Day Tariffs” in April 2025 has created significant disruption in global pharmaceutical trade. These tariffs, ranging from 10% to 46%, specifically target pharmaceutical products, APIs (active pharmaceutical ingredients), medical packaging, and machinery from key manufacturers in China and India. This has led to increased production costs, supply chain delays, and regulatory challenges for U.S.-based pharmaceutical companies.
The tariffs have particularly impacted generic drug manufacturers, who rely heavily on APIs from China and India. Biopharmaceuticals and vaccines are also feeling the pressure, with tariffs on critical materials like bioproduction media and cold-chain packaging raising costs by up to 25%. Similarly, contract manufacturing organizations (CMOs) are grappling with the need to identify new suppliers and adjust production plans to mitigate rising costs.
Foreign governments, including the European Union, have retaliated with tariffs on U.S. pharmaceutical exports, further complicating global trade. Clinical trials are also impacted, as tariffs on drugs and diagnostic kits delay trial timelines.
Market research is increasingly crucial for navigating these challenges. By providing real-time data on API pricing, supplier reliability, and tariff impact, pharmaceutical firms can make informed decisions on sourcing, compliance, and investment strategies. This data-driven approach helps mitigate risks, optimize supply chains, and identify alternative manufacturing hubs to offset tariff-related disruptions.
Overall, market research is essential for pharmaceutical companies to adapt to the new tariff landscape, enabling them to maintain competitive advantage and navigate global trade dynamics effectively.
In November 2021, Hologic, Inc. has announced its newest product, the Genius Digital Diagnostics System, which is now available in Europe. This method combines deep learning-based AI with superior volumetric imaging technology to improve cervical cancer detection. The primary purpose is to help discover pre-cancerous lesions and cervical cancer cells in women. The system uses powerful image analysis to thoroughly examine each cell in a ThinPrep Pap test image, providing a comprehensive view of clinically significant things.
Top Companies Market Share in AI in Pathology Industry: (In no particular order of Rank)
If any Company(ies) of your interest has/have not been disclosed in the above list then please let us know the same so that we will check the data availability in our database and provide you the confirmation or include it in the final deliverables.
According to Cognitive Market Research, Asia Pacific has established itself as the dominating region for AI in Pathology. The AI in pathology market in Asia Pacific is growing due to the increasing use of AI in healthcare sectors in emerging countries such as China and India. The healthcare AI business in India is expected to grow at a 40% CAGR by 2025, according to NASSCOM. This demonstrates how artificial intelligence is getting increasingly popular in the healthcare industry. Because AI can perform repetitive tasks quickly and save pathologists time, it may lead to even more AI uses in pathology.
The North American region is expected to grow at the quickest rate throughout the projected period, with a respectable CAGR. Because of COVID-19's tight lockdown rules, telemedicine has grown in popularity over in-person meetings. According to the US Department of Health and Human Services, Medicare users have used telemedicine more frequently since the outbreak.
The current report Scope analyzes AI in Pathology Market on 5 major region Split (In case you wish to acquire a specific region edition (more granular data) or any country Edition data then please write us on info@cognitivemarketresearch.com
The above graph is for illustrative purposes only.
To learn more about geographical trends request the free sample pages.
Get Free Sample
Global AI in Pathology Market Report 2025 Edition talks about crucial market insights with the help of segments and sub-segments analysis. In this section, we reveal an in-depth analysis of the key factors influencing AI in Pathology Industry growth. AI in Pathology market has been segmented with the help of its Component, Neural Application, and others. AI in Pathology market analysis helps to understand key industry segments, and their global, regional, and country-level insights. Furthermore, this analysis also provides information pertaining to segments that are going to be most lucrative in the near future and their expected growth rate and future market opportunities. The report also provides detailed insights into factors responsible for the positive or negative growth of each industry segment.
This report categorizes competitors in the pharmaceutical and healthcare market based on their product offerings and business models. It includes key details such as definitions, benefits, applications, technological advancements, and regional advantages for each type of pharmaceutical product, including small molecule drugs, biologics, and biosimilars.
Market growth figures, such as market share percentages, revenue, and growth rates (e.g., CAGR), are provided for each segment over the specified period (2019-2023). The report covers various segments
Component of AI in Pathology analyzed in this report are as follows:
The above Chart is for representative purposes and does not depict actual sale statistics. Access/Request the quantitative data to understand the trends and dominating segment of AI in Pathology Industry. Request a Free Sample PDF!
This report analyzes revenue growth in the pharma and healthcare industry at global, regional, and national levels, highlighting trends and opportunities for each application. It explores how sectors like pharmaceuticals, therapy, and healthcare monitoring use innovations to address healthcare needs. Key factors include market size, revenue contributions, technological advancements (e.g., AI-driven diagnostics), and regulatory considerations. The report also covers the value chain, identifying key players and processes within the industry. For more information, please request a sample or contact our research team.
Some of the key Neural of AI in Pathology are:
The above Graph is for representation purposes only. This chart does not depict actual Market share.
To learn more about market share request the free sample pages.
Get Free Sample
According to Cognitive Market Research, in 2023, drug discovery had the largest revenue share in the market. AI algorithms can analyze large-scale datasets generated by high-throughput screening techniques. This includes analyzing cell cultures, histopathology pictures, and other data collected throughout drug research pipelines. The automation of analytical procedures speeds up the identification of prospective medication candidates. AI can investigate the interactions between medications and biological circuits. Understanding how medications affect specific pathways in disease pathology allows for more logical therapies and the identification of potential synergies or antagonists.
Senior Research Associate at Cognitive Market Research
Manjiri Kanhere is an experienced market researcher focused on the Pharma & Healthcare industry. With over 3+ years of experience, She has worked with major pharmaceutical companies and healthcare providers, helping them to understand market trends, identify new business opportunities, and develop effective sales & marketing strategies. Her expertise lies in the ability to analyze complex data sets and deliver insights that drive business decisions. At Cognitive Market Research, she handles the market research related to Pharma and healthcare industry.
Manjiri Kanhere is an experienced market researcher focused on the Pharma & Healthcare industry. With over three years of experience, She has worked with major pharmaceutical companies and healthcare providers, helping them to understand market trends, identify new business opportunities, and develop effective sales & marketing strategies.
In her current role, Manjiri handles the market research related to Pharma and healthcare industry. Her passion lies in utilizing innovative approaches to distill complex information into strategic insights that empower organizations to make informed decisions.Manjiri remains an invaluable asset in the dynamic landscape of market research.
Our study will explain complete manufacturing process along with major raw materials required to manufacture end-product. This report helps to make effective decisions determining product position and will assist you to understand opportunities and threats around the globe.
The Global AI in Pathology Market is witnessing significant growth in the near future.
In 2023, the Software segment accounted for noticeable share of global AI in Pathology Market and is projected to experience significant growth in the near future.
The Generative adversarial networks (GANs) segment is expected to expand at the significant CAGR retaining position throughout the forecast period.
Some of the key companies Koninklijke Philips N.V. (Netherlands) , Hologic Inc. (US) and others are focusing on its strategy building model to strengthen its product portfolio and expand its business in the global market.
Please note, we have not disclose, all the sources consulted/referred during a market study due to confidentiality and paid service concern. However, rest assured that upon purchasing the service or paid report version, we will release the comprehensive list of sources along with the complete report and we also provide the data support where you can intract with the team of analysts who worked on the report.
Disclaimer:
Component | Software, Scanners |
Neural | Generative adversarial networks (GANs), Convolutional neural networks (CNNs), Recurrent neural networks (RNNs), Others |
Application | Drug Discovery, Disease Diagnosis & Prognosis, Clinical Workflow, Training & Education |
End User | Pharmaceutical & Biotechnology Companies, Hospitals & Reference Laboratories, Academic & Research Institutes |
List of Competitors | Koninklijke Philips N.V. (Netherlands), F. Hoffmann-La Roche Ltd (Switzerland), Hologic Inc. (US) |
This chapter will help you gain GLOBAL Market Analysis of AI in Pathology. Further deep in this chapter, you will be able to review Global AI in Pathology Market Split by various segments and Geographical Split.
Chapter 1 Global Market Analysis
Global Market has been segmented on the basis 5 major regions such as North America, Europe, Asia-Pacific, Middle East & Africa, and Latin America.
You can purchase only the Executive Summary of Global Market (2019 vs 2024 vs 2031)
Global Market Dynamics, Trends, Drivers, Restraints, Opportunities, Only Pointers will be deliverable
This chapter will help you gain North America Market Analysis of AI in Pathology. Further deep in this chapter, you will be able to review North America AI in Pathology Market Split by various segments and Country Split.
Chapter 2 North America Market Analysis
This chapter will help you gain Europe Market Analysis of AI in Pathology. Further deep in this chapter, you will be able to review Europe AI in Pathology Market Split by various segments and Country Split.
Chapter 3 Europe Market Analysis
This chapter will help you gain Asia Pacific Market Analysis of AI in Pathology. Further deep in this chapter, you will be able to review Asia Pacific AI in Pathology Market Split by various segments and Country Split.
Chapter 4 Asia Pacific Market Analysis
This chapter will help you gain South America Market Analysis of AI in Pathology. Further deep in this chapter, you will be able to review South America AI in Pathology Market Split by various segments and Country Split.
Chapter 5 South America Market Analysis
This chapter will help you gain Middle East Market Analysis of AI in Pathology. Further deep in this chapter, you will be able to review Middle East AI in Pathology Market Split by various segments and Country Split.
Chapter 6 Middle East Market Analysis
This chapter will help you gain Middle East Market Analysis of AI in Pathology. Further deep in this chapter, you will be able to review Middle East AI in Pathology Market Split by various segments and Country Split.
Chapter 7 Africa Market Analysis
This chapter provides an in-depth analysis of the market share among key competitors of AI in Pathology. The analysis highlights each competitor's position in the market, growth trends, and financial performance, offering insights into competitive dynamics, and emerging players.
Chapter 8 Competitor Analysis (Subject to Data Availability (Private Players))
(Subject to Data Availability (Private Players))
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
Data Subject to Availability as we consider Top competitors and their market share will be delivered.
This chapter would comprehensively cover market drivers, trends, restraints, opportunities, and various in-depth analyses like industrial chain, PESTEL, Porter’s Five Forces, and ESG, among others. It would also include product life cycle, technological advancements, and patent insights.
Chapter 9 Qualitative Analysis (Subject to Data Availability)
Segmentation Component Analysis 2019 -2031, will provide market size split by Component. This Information is provided at Global Level, Regional Level and Top Countries Level The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 10 Market Split by Component Analysis 2021 - 2033
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 11 Market Split by Neural Analysis 2021 - 2033
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 12 Market Split by Application Analysis 2021 - 2033
The report with the segmentation perspective mentioned under this chapters will be delivered to you On Demand. So please let us know if you would like to receive this additional data as well. No additional cost will be applicable for the same.
Chapter 13 Market Split by End User Analysis 2021 - 2033
This chapter helps you understand the Key Takeaways and Analyst Point of View of the global AI in Pathology market
Chapter 14 Research Findings
Here the analyst will summarize the content of entire report and will share his view point on the current industry scenario and how the market is expected to perform in the near future. The points shared by the analyst are based on his/her detailed in-depth understanding of the market during the course of this report study. You will be provided exclusive rights to interact with the concerned analyst for unlimited time pre purchase as well as post purchase of the report.
Chapter 15 Research Methodology and Sources
Why Software have a significant impact on AI in Pathology market? |
What are the key factors affecting the Software and Scanners of AI in Pathology Market? |
What is the CAGR/Growth Rate of Generative adversarial networks (GANs) during the forecast period? |
By type, which segment accounted for largest share of the global AI in Pathology Market? |
Which region is expected to dominate the global AI in Pathology Market within the forecast period? |
Segmentation Level Customization |
|
Global level Data Customization |
|
Region level Data Customization |
|
Country level Data Customization |
|
Company Level |
|
Additional Data Analysis |
|
Additional Qualitative Data |
|
Additional Quantitative Data |
|
Service Level Customization |
|
Report Format Alteration |
|