Global Explainable Artificial Intelligence For Diagnostics Market
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Global Explainable Artificial Intelligence For Diagnostics Market 2025–2029: Competitive Insights and Opportunities

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What Is The Expected Total Market Size Of The Explainable Artificial Intelligence For Diagnostics Industry By The Forecast Year 2029?

The explainable artificial intelligence for diagnostics market has witnessed substantial expansion in its size over recent years. Its valuation is anticipated to rise from $1.34 billion in 2024 to $1.69 billion in 2025, reflecting a compound annual growth rate (CAGR) of 26.0%. Factors contributing to this historical growth include the escalating prevalence of chronic and lifestyle-related conditions, a heightened demand for early disease identification, greater patient consciousness regarding personalized care, the increasing necessity for accurate and efficient diagnostic capabilities, and the expanded utilization of medical imaging and pathology data.

The explainable artificial intelligence for diagnostics market size is anticipated to undergo significant expansion in the foreseeable future. It is projected to achieve a value of $4.21 billion by 2029, demonstrating a compound annual growth rate (CAGR) of 25.7%. This anticipated growth is primarily driven by the increasing demand for explainable and interpretable AI solutions, the escalating need for personalized medicine, a rising emphasis on predictive analytics, growing regulatory support for AI-driven diagnostics, and the heightened desire for transparency in medical decision-making. Significant trends during this forecast period involve advancements in AI algorithms for transparent predictions, the integration of AI with medical imaging and genomics, the evolution of cloud-based AI diagnostic platforms, innovations in automated pathology scoring systems, and the development of user-friendly interpretability dashboards.

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What Are The Main Drivers Boosting The Explainable Artificial Intelligence For Diagnostics Industry’s Expansion?

The rising need for personalized healthcare solutions is projected to drive the expansion of the explainable artificial intelligence for diagnostics market in the future. Personalized medicine, by definition, is a healthcare strategy that tailors prevention, diagnosis, and therapeutic interventions according to an individual’s unique genetic makeup, lifestyle choices, and environmental factors. The adoption of personalized medicine is growing due to progress in genomic data and sequencing technologies, which facilitate the development of more precise, targeted, and efficacious treatments customized for each patient. Explainable artificial intelligence in diagnostics supports personalized medicine by offering clear and understandable insights derived from patient-specific data, thereby informing bespoke treatment choices. As an illustration, in February 2024, the Personalized Medicine Coalition, a US-based non-profit organization, reported that in 2023, the FDA sanctioned 16 novel personalized treatments aimed at rare disease patients, marking an increase from six approvals in 2022. Among the new personalized treatments endorsed in 2023 were also seven medications for cancer and three for other medical conditions. Consequently, the expanding demand for personalized medicine is fueling the growth within 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

What Key Innovation Trends Are Fueling Advancements In The Explainable Artificial Intelligence For Diagnostics Market?

Major companies operating in the explainable artificial intelligence for diagnostics market are concentrating on developing sophisticated methodologies, such as the AI-powered HER2 scoring algorithm, to enhance diagnostic precision, facilitate 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, like breast cancer tissue samples, to automatically evaluate the level of HER2 protein expression, thereby providing accurate, consistent, and interpretable results to guide diagnosis and individualized treatment decisions. For instance, in July 2023, PathAI Inc., a US-based AI-driven digital pathology company, launched AIM-HER2 Breast Cancer to improve accurate HER2 status detection in breast cancer patients. This solution offers automated, reproducible HER2 scoring with explainable AI heatmaps that highlight key tissue features, consequently increasing diagnostic confidence and transparency. It analyzes entire breast cancer biopsy slides without the need for manual region selection, thereby streamlining pathologists’ workflow, especially in challenging borderline cases. This AI-enhanced tool aims to elevate the accuracy, efficiency, and trustworthiness in HER2 scoring for biopharma research and clinical laboratories.

Which Global Market Leaders Are Shaping The Future Of The Explainable Artificial Intelligence For Diagnostics Sector?

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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Which Region Is Expected To Witness The Fastest Growth 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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