AI and Digital Health Sustainability Due Diligence & Market Research
Published studies in this sector, each with a table of contents and sample pages available on request
Published studies in this sector, each with a table of contents and sample pages available on request
10 studies in AI and Digital Health
AI and digital health covers the software and connected services that help clinicians diagnose, triage, treat and manage patients. The sector spans AI diagnostic software, AI radiology image analysis platforms and AI-assisted pathology software, clinical decision support systems and AI triage systems, remote patient monitors, digital therapeutics apps and virtual care and telehealth platforms, and hospital analytics platforms and population health management dashboards.
Demand rests on clinician shortages, rising imaging and chronic-disease volumes, and the push to move care from hospitals into homes and communities. Reimbursement is the main gate. Payment codes for remote monitoring and AI, statutory routes for prescribed digital therapeutics, hospital-at-home programs and value-based contracts decide which products scale. Regulation of medical software and AI, interoperability rules, national digital-health programs and the depth of clinical evidence set the pace in each region.
ANMD studies in this sector size each market from 2020 to 2032 by value and by usage measures such as patients monitored, encounters, analyzed studies or deployment sites, and break it down by product type, clinical area, deployment model, buyer and business model across seven regions, with country modules for the leading markets. Each study pairs the market analysis with sustainability due diligence covering access and equity, algorithm performance across populations, data protection, device and data-center footprints, and the evidence behind clinical and access claims.
It covers clinical AI, connected care and health analytics, including AI diagnostic software, AI radiology image analysis platforms, AI-assisted pathology software, clinical decision support systems, AI triage systems, remote patient monitors, digital therapeutics apps, virtual care and telehealth platforms, hospital analytics platforms and population health management dashboards. ANMD publishes a separate study for each of these markets.
All ten markets studied more than double in value between 2025 and 2032, with ANMD forecasting growth from low double digits to the high twenties a year. AI pathology, radiology and diagnostic software grow fastest, while clinical decision support and virtual care grow more steadily on larger bases. Each study gives the full forecast by segment and region.
The main constraints are reimbursement, the depth of clinical evidence, integration cost and workflow fit, and regulatory and governance requirements for medical AI. Payment codes, national digital-health programs, clearer regulatory pathways and enterprise platforms that bundle many tools are lowering these barriers, and each study tracks them by region.
Each study includes sustainability due diligence covering access and equity, performance across patient populations, data protection and governance, clinician workload, device and computing footprints, relevant disclosure frameworks, and a screen for overstated clinical and access claims. Outcomes are labeled as observed, modeled or claimed. The table of contents and sample pages for each study show the full scope.
Request sample pages, the report prospectus and the detailed table of contents for any study in our catalog. Sent instantly to organization email addresses.