Explainable Artificial Intelligence For Diagnostics Market Forecasted to Reach USD $4.2 Billion by 2029 at 25.7% CAGR

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 What Is the Potential Market Growth Rate of the Explainable Artificial Intelligence For Diagnostics Market?
 The explainable artificial intelligence for diagnostics market size has grown exponentially in recent years. It will grow from $1.34 billion in 2024 to $1.69 billion in 2025 at a compound annual growth rate (CAGR) of 26.0%. The growth in the historic period can be attributed to increasing prevalence of chronic and lifestyle-related diseases, rising demand for early disease detection, increasing patient awareness about personalized care, growing need for accurate and efficient diagnostic solutions, and growing use of medical imaging and pathology data.
 
 The explainable artificial intelligence for diagnostics market size is expected to see exponential growth in the next few years. It will grow to $4.21 billion in 2029 at a compound annual growth rate (CAGR) of 25.7%. The growth in the forecast period can be attributed to rising demand for explainable and interpretable AI solutions, growing need for personalized medicine, growing emphasis on predictive analytics, increasing regulatory support for AI-driven diagnostics, and rising demand for transparency in medical decision-making. Major trends in the forecast period include advancement of AI algorithms for transparent predictions, integration of AI with medical imaging and genomics, advancement of cloud-based AI diagnostic platforms, innovation in automated pathology scoring systems, and advancement of user-friendly interpretability dashboards.
 
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 What Are the Primary Growth Contributors in 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 market.
 
 How Is the Explainable Artificial Intelligence For Diagnostics Market Segmented?
 The explainable artificial intelligence for diagnostics market covered in this report is segmented as
 
 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
 
 Which Emerging Trends Are Driving the Explainable Artificial Intelligence For Diagnostics Market?
 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.
 
 Which Companies Hold the Largest Share in the 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, and Therapixel SAS.
 
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 How Are Market Trends Differentiating Across Key Regions in the Explainable Artificial Intelligence For Diagnostics Market?
 North America was the largest region in the explainable artificial intelligence for diagnostics market in 2024. Asia-Pacific is expected to be the fastest-growing region in the forecast period. The regions covered in explainable artificial intelligence for diagnostics report are Asia-Pacific, Western Europe, Eastern Europe, North America, South America, Middle East and Africa.
 
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