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Global Explainable Artificial Intelligence For Diagnostics Market: Major Trends Reshaping the Future of the Industry

10-08-2025 01:14 PM CET | Health & Medicine

Press release from: The Business Research Company

Explainable Artificial Intelligence For Diagnostics Market

Explainable Artificial Intelligence For Diagnostics Market

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What Will the Explainable Artificial Intelligence For Diagnostics Industry Market Size Be by 2025?
The market size for explainable artificial intelligence in diagnostics has experienced an explosive growth in recent times. The forecast predicts a growth from $1.34 billion in 2024, to reach $1.69 billion by 2025, boasting a compound annual growth rate (CAGR) of 26.0%. Several factors have contributed to this growth during the historical period, including a rise in chronic and lifestyle-related diseases, heightened demand for early detection of illnesses, increasing patient consciousness about personalized treatment options, a growing necessity for precise and effective diagnostic methods, and a noticeable increase in the utilization of medical imaging and pathology data.

What's the Long-Term Growth Forecast for the Explainable Artificial Intelligence For Diagnostics Market Size Through 2029?
The market for explainable artificial intelligence used in diagnostics is projected to experience significant expansion in the coming years. It is expected to escalate to $4.21 billion by 2029, with a compound annual growth rate (CAGR) of 25.7%. Several factors are fueling this anticipated growth including increasing demand for explicit and understandable AI solutions, the rising need for personalized treatments, a greater focus on predictive analytics, escalated regulatory support for AI-based diagnostics, and a growing requirement for openness in medical decision-making. The upcoming trend forecasts point towards the progression of AI algorithms for clear predictions, the incorporation of AI into medical imaging and genomics, the evolution of cloud-based AI diagnostic platforms, advancements in automatic pathology scoring systems, and the development of intuitive interpretability dashboards.

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What Are the Key Growth Drivers Fueling the Explainable Artificial Intelligence For Diagnostics Market Expansion?
The rising need for customized medical care is predicted to drive the expansion of the explainable artificial intelligence for diagnostics market in the future. Personalized care is defined as a healthcare strategy that tailors prevention, diagnosis, and treatment plans to an individual's unique genetic profile, lifestyle, and environment. The growth in personalized medicine is fueled by advancements in genomic research and sequencing technologies which allow for more precise, targeted, and effective treatments designed for each patient's needs. Explainable artificial intelligence in diagnostics plays a significant role in personalized care through the transparent, interpretable insights it offers into patient-specific data, supporting the formulation of tailored treatment options. For example, the Personalized Medicine Coalition, a non-profit organization based in the US, reported that the FDA granted approval to 16 new customized treatments for rare diseases in 2023, a significant increase from six approvals in 2022. The approvals in 2023 also consisted of seven cancer drugs and three for various diseases and conditions, highlighting the growing demand for personalized medicine, which consequently fuels the growth of the explainable artificial intelligence for diagnostics market.

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What Are the Key Trends Driving Explainable Artificial Intelligence For Diagnostics Market Growth?
Leading firms in the explainable artificial intelligence for diagnostics market are prioritizing the development of innovative techniques like the AI-powered HER2 scoring algorithm. This approach enhances diagnostic precision, fosters clear decision-making processes, and aids tailored cancer therapies. The mentioned AI-powered HER2 scoring algorithm is a system built on machine learning, tasked with the analysis of medical imagery, including tissue samples from breast cancer, to autonomously gauge HER2 protein expression levels. This process yields accurate and consistent outcomes, offering explainable data that can steer diagnoses and individual treatment plans. Case in point, PathAI Inc., an American enterprise specializing in AI-powered digital pathology, unveiled AIM-HER2 Breast Cancer in July 2023. This product improves the reliability of HER2 status identification in patients suffering from breast cancer. It features automated, dependable HER2 scoring alongside explainable AI heatmaps that underline significant tissue characteristics, thereby boosting diagnostic certainty and openness. The product can also scrutinize entire biopsy slides from breast cancer without the necessity of manual region selection, easing the tasks of pathologists, particularly in complex borderline situations. This AI-driven instrument aspires to augment precision, productivity, and faith in HER2 scoring spanning both biopharma research and clinical lab environments.

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

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Which Companies Are Leading the Charge in Explainable Artificial Intelligence For Diagnostics Market Innovation?
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.

Which Regions Are Leading the Global Explainable Artificial Intelligence For Diagnostics Market in Revenue?
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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