Emerging Market Perception Map Series powered by ConceptMiner
■ Overview
AI in Healthcare Maps structures companies, technologies, disease areas, research themes, and AI application products in the field of medical AI using ConceptMiner’s Growing Batch Neural Gas + Minimum Spanning Tree technology, and organizes them into multiple Perception Maps (conceptual structure maps).
This is not typical medical market report.
It is an entirely new type of knowledge product that structures and conceptually maps text information and auxiliary data collected from the internet using large-scale language models (LLMs) and data mining techniques.
This allows for a comprehensive view of the overall medical AI market, areas of AI use by disease, the structure of major players, specific use cases, and the expansion of research themes.
This can be used by medical institutions, pharmaceutical companies, medical IT companies, and investors to formulate strategies, select technologies, and determine the direction of research and development.
■ Release date
March 13, 2026 (First release: Version 1.0)
After that, we plan to release several updated versions (1.1/1.2) including additional models.
■ Included Perception Maps (examples)
Because medical AI encompasses multiple categories, including disease areas, diagnostic techniques, imaging, and drug discovery, we will gradually release approximately 20-25 models across Versions 1.0-1.2.
Below are some representative examples (subject to adjustments at the time of official release).
Models(sample)
- Overall Structure Map of Medical AI Players
(Relationships between Startups, Pharmaceutical Companies, and Medical IT Companies)
- AI Application Area Map by Disease (Cancer, Cardiovascular Disease, Diabetes, etc.)
(Matrix Structure of Disease x AI Technology)
- Medical Imaging AI Technology Map (CT/MRI/X-ray/Ultrasound)
(Comparison of Image Analysis Technology and Model Structure)
- Drug Discovery AI Structure Map
(Molecular Generation, Structure Prediction, Screening Technology)
- AI Product Application Map for Medical Institutions
(Diagnosis Support, Prediction, Workflow Support)
- Genome Analysis x AI Map
(Genetic Data Analysis, Personalized Medicine)
- Medical AI Regulation and Approval Process Map
(Regulatory Structure of FDA, EMA, PMDA, etc.)
■ Notable trends (analysis and commentary)
The medical AI market is experiencing the following simultaneous trends: diversification of applications, technological evolution, and regulatory development.
This Maps provides an analytical platform for visually understanding these complex structures.
1. AI for image diagnosis is entering the “mature” phase
Diagnostic assistance AI, primarily for CT, MRI, and X-ray imaging, is moving from the research stage to the practical application stage.
2. Rapid rise of AI in drug discovery (especially molecular generation and structure prediction)
The field of generative AI and drug discovery is accelerating through the combination of LLM, protein language models, and molecular generative models.
3. Workflow AI (business support AI) for medical institutions is expanding
Applications are expanding from diagnostic support to operational support, medical record creation, and patient care.
4. Structuring medical data while protecting privacy
The key to introducing AI is to balance data anonymization, security, and regulatory compliance.
5. Medical AI regulations are gradually moving towards international standardization.
The FDA, EMA, and PMDA review frameworks are beginning to address “AI-specific risks.”。
■ Deliverables
1.Shared Browser Access Model (Perception Maps)
No ConceptMiner license required.
Interactive operation possible from the provided URL.
2. Thematic Overview Report (PDF).
- Overall Market Structure
- Overview of Each Model
- Explanation of Key Trends
- Data Collection Methodology Overview
(PDF updates will be distributed upon update)
3. Version update notification (email)
Version 1.0 → 1.1 → 1.2
Release information regarding additional models and clusters will be published.
■ Price and Purchase
- Regular Price: USD 1,660
Pre-order Price: USD 1,411 (until December 20, 2025)
- Pay online through Stripe
- URLs and PDF will be sent via email after publication.
- Additional models will be automatically delivered.
■ Target users
- Pharmaceutical companies
- Medical device manufacturers
- Medical IT companies
- Hospital managers/Healthcare digital transformation specialists
- Investors (VC/CVC)
- Researchers and experts looking for an overview of the structure of medical AI
■ Release Schedule
Released March 13, 2026 (first version: Version 1.0).
Versions 1.1 and 1.2 will be released between 2 and 6 weeks later.
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