Explainable Artificial Intelligence For Diagnostics Market Report 2026

Explainable Artificial Intelligence For Diagnostics Market Overview

• Explainable Artificial Intelligence For Diagnostics market size has reached to $1.69 billion in 2025 • Expected to grow to $5.28 billion in 2030 at a compound annual growth rate (CAGR) of 25.6% • Growth Driver: Increasing Demand For Personalized Medicine Driving Growth Of The Market Due To Advances In Genomics And Targeted Therapies • Market Trend: Advancements In AI-Driven HER2 Scoring For Enhanced Diagnostic Accuracy And Transparency • North America was the largest region in 2025.

What Is Covered Under Explainable Artificial Intelligence For Diagnostics Market?

Explainable artificial intelligence for diagnostics is the application of artificial intelligence in healthcare that provides transparent and understandable outputs, allowing clinicians and patients to see how diagnostic decisions are made. Its primary goal is to enhance trust, accountability, and accuracy in AI-driven medical assessments by making algorithms interpretable. The main components of explainable artificial intelligence for diagnostics include software, hardware, and services. Software refers to a set of instructions, programs, or data used to operate computers and perform specific tasks. These are deployed through on-premises and cloud. Its applications span medical imaging, pathology, genomics, risk assessment, treatment recommendation, and others, and are utilized by end-users including hospitals, diagnostic laboratories, research institutes, clinics, and others.

What Is The Explainable Artificial Intelligence For Diagnostics Market Growth Forecast?

The explainable artificial intelligence for diagnostics market size is expected to see exponential growth in the next few years. It will grow to $5.28 billion in 2030 at a compound annual growth rate (CAGR) of 25.6%. The growth in the forecast period can be attributed to increasing regulatory mandates for transparent ai models, rising investments in trustworthy ai platforms, expansion of explainable ai applications beyond imaging, growing clinician demand for interpretable outputs, increased integration of ai with electronic health records. Major trends in the forecast period include increasing adoption of interpretable ai diagnostic models, rising integration of explainability layers in clinical ai tools, growing focus on regulatory-compliant ai systems, expansion of ai use in multi-modal diagnostics, enhanced emphasis on clinical trust and transparency.

Global Explainable Artificial Intelligence For Diagnostics Market Segmentation

1) By Component: Software, Hardware, Services 2) By Deployment Mode: On-Premises, Cloud 3) By Application: Medical Imaging, Pathology, Genomics, Risk Assessment, Treatment Recommendation, Other Applications 4) By End-User: Hospitals, Diagnostic Laboratories, Research Institutes, Clinics, Other End-Users Subsegments: 1) By Software: Machine Learning Platforms, Natural Language Processing Tools, Computer Vision Tools 2) By Hardware: Imaging Devices, Computational Devices, Sensors And Scanners 3) By Services: Consulting And Implementation, Maintenance And Support, Training And Education

What Is The Driver Of The Explainable Artificial Intelligence For Diagnostics Market?

The increasing demand for personalized medicine is expected to propel the growth of the explainable artificial intelligence for diagnostics market going forward. Personalized medicine refers to a healthcare approach that customizes prevention, diagnosis, and treatment based on an individual’s genetic profile, lifestyle, and environment. Personalized medicine is increasing as advances in genomic data and sequencing technologies enable more accurate, targeted, and effective treatments tailored to individual patients. Explainable artificial intelligence in diagnostics enables personalized medicine by providing transparent, interpretable insights into patient-specific data, guiding tailored treatment decisions. For instance, in February 2024, according to the Personalized Medicine Coalition, a US-based non-profit organization, in 2023, the FDA approved 16 new personalized treatments for rare disease patients, up from six in 2022. The newly approved personalized treatments for 2023 also include seven cancer drugs and three for other diseases and conditions. Therefore, the increasing demand for personalized medicine is driving the growth of the explainable artificial intelligence for diagnostics industry.

Key Players In The Global Explainable Artificial Intelligence For Diagnostics Market

Major companies operating in the explainable artificial intelligence for diagnostics market are Fujitsu Limited, Koninklijke Philips N.V., Tempus AI, Owkin Inc., PathAI Inc., Aidoc Medical Ltd., Viz.ai Inc., Qure.ai Technologies Private Limited, Paige.AI Inc., Digital Diagnostics Inc., Enlitic, Aignostics GmbH, Proscia Inc., Corti ApS, Fiddler AI Inc., Riverain Technologies LLC, Arthur AI Inc., InData Labs, Ibex Medical Analytics Ltd., Mindpeak GmbH, Therapixel SAS.

Global Explainable Artificial Intelligence For Diagnostics Market Trends and Insights

Major companies operating in the explainable artificial intelligence for diagnostics market are focusing on developing advanced approaches, such as the AI-powered HER2 scoring algorithm, to improve diagnostic accuracy, enable transparent decision-making, and support personalized cancer treatment. An AI-powered HER2 scoring algorithm refers to a machine learning–based system designed to analyze medical images, such as breast cancer tissue samples, to automatically assess the level of HER2 protein expression, providing accurate, consistent, and explainable results to guide diagnosis and personalized treatment decisions. For instance, in July 2023, PathAI Inc., a US-based AI-powered digital pathology company, launched AIM-HER2 Breast Cancer to enhance accurate HER2 status detection in breast cancer patients. It offers automated, reproducible HER2 scoring with explainable AI heatmaps that highlight key tissue features, increasing diagnostic confidence and transparency. It analyzes entire breast cancer biopsy slides without manual region selection, streamlining pathologists' workflow, especially in challenging borderline cases. This AI-powered tool aims to improve accuracy, efficiency, and trust in HER2 scoring for biopharma research and clinical labs.

What Are Latest Mergers And Acquisitions In The Explainable Artificial Intelligence For Diagnostics Market?

In July 2025, Mindpeak GmbH, a Germany-based AI-powered digital pathology company that offers explainable artificial intelligence (xAI) for diagnostics, partnered with Techcyte Inc. to enhance automated pathology workflows and improve the accuracy and transparency of diagnostic results. This partnership aims to enhance diagnostic accuracy, efficiency, and reproducibility in digital pathology by integrating Mindpeak’s explainable AI tools into Techcyte’s unified Fusion platform, enabling seamless, scalable AI-driven workflows that improve cancer diagnostics and patient care worldwide. Techcyte Inc. is a US-based cloud-based digital pathology company that provides a cloud-based, AI-driven digital pathology platform.

Regional Outlook

North America was the largest region in the explainable artificial intelligence for diagnostics market in 2025. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in this market report are Asia-Pacific, South East Asia, Western Europe, Eastern Europe, North America, South America, Middle East, Africa. The countries covered in this market report are Australia, Brazil, China, France, Germany, India, Indonesia, Japan, Taiwan, Russia, South Korea, UK, USA, Canada, Italy, Spain.

What Defines the Explainable Artificial Intelligence For Diagnostics Market?

The explainable artificial intelligence for diagnostics market includes revenues earned by entities by providing services such as data annotation and preparation services, cloud-based AI diagnostics-as-a-service (DaaS), AI-powered diagnostic consulting services, ongoing model monitoring, updates, and maintenance services, and patient-centric explainability reporting services. The market value includes the value of related goods sold by the service provider or included within the service offering. The explainable artificial intelligence for diagnostics market also includes sales of medical imaging devices, digital pathology scanners, molecular diagnostic analyzers, and point-of-care testing devices. Values in this market are ‘factory gate’ values, that is the value of goods sold by the manufacturers or creators of the goods, whether to other entities (including downstream manufacturers, wholesalers, distributors and retailers) or directly to end customers. The value of goods in this market includes related services sold by the creators of the goods.

How is Market Value Defined and Measured?

The market value is defined as the revenues that enterprises gain from the sale of goods and/or services within the specified market and geography through sales, grants, or donations in terms of the currency (in USD unless otherwise specified). The revenues for a specified geography are consumption values that are revenues generated by organizations in the specified geography within the market, irrespective of where they are produced. It does not include revenues from resales along the supply chain, either further along the supply chain or as part of other products.

What Key Data and Analysis Are Included in the Explainable Artificial Intelligence For Diagnostics Market Report 2026?

The explainable artificial intelligence for diagnostics market research report is one of a series of new reports from The Business Research Company that provides market statistics, including industry global market size, regional shares, competitors with the market share, detailed market segments, market trends and opportunities, and any further data you may need to thrive in the explainable artificial intelligence for diagnostics industry. The market research report delivers a complete perspective of everything you need, with an in-depth analysis of the current and future state of the industry.