Artificial Intelligence (AI) in Medical Diagnostics Market to Reach USD 3.86 Billion by 2025
|
By LabMedica International staff writers Posted on 16 Apr 2021 |

Illustration
The global Artificial Intelligence (AI) in Medical Diagnostics Market is projected to grow at a CAGR of 50.2% from USD 0.5 billion in 2020 to USD 3.86 billion by 2025, driven primarily by government initiatives to increase the adoption of AI-based technologies, increasing demand for AI tools in the medical field, growing focus on reducing the workload of radiologists, influx of large and complex datasets, growth in funding for AI-based start-ups, and growing number of cross-industry partnerships and collaborations.
Pandemics such as COVID-19 require investments for additional manpower, equipment, consumables, and other resources to ensure 100% preparedness for safety in hospitals and, if needed, eventual treatment of patients. The COVID-19 pandemic is an accelerator for AI technology by creating opportunities for leveraging these tools for healthcare advancement.
These are the latest findings of MarketsandMarkets (Maharashtra, India), a market research and management consulting firm.
On the basis of component, the AI in medical diagnostics market was dominated by the services segment in 2020. However, the software segment is estimated to grow at a higher CAGR during the forecast period, as software solutions help healthcare providers gain a competitive edge despite the challenges of being short-staffed and facing increasing imaging scan volumes.
Based on end user, the AI in medical diagnostics market was dominated by the hospitals segment in 2019 with the largest share of 64.1%. The segment’s large share can be attributed to the rising number of diagnostic imaging procedures performed in hospitals, the growing inclination of hospitals toward the automation and digitization of radiology patient workflow, increasing adoption of minimally invasive procedures in hospitals to improve the quality of patient care, and the rising adoption of advanced imaging modalities to improve workflow efficiency.
Geographically, North America accounted for the largest share of 37.6% of the global AI in medical diagnostics market in 2019. However, the APAC market is projected to register the highest CAGR of 53.2% during the forecast period, primarily due to the growth strategies adopted by companies in the emerging markets, improved medical diagnostic infrastructure, increasing geriatric population, rising prevalence of cancer, and the implementation of favorable government initiatives.
Related Links:
MarketsandMarkets
Pandemics such as COVID-19 require investments for additional manpower, equipment, consumables, and other resources to ensure 100% preparedness for safety in hospitals and, if needed, eventual treatment of patients. The COVID-19 pandemic is an accelerator for AI technology by creating opportunities for leveraging these tools for healthcare advancement.
These are the latest findings of MarketsandMarkets (Maharashtra, India), a market research and management consulting firm.
On the basis of component, the AI in medical diagnostics market was dominated by the services segment in 2020. However, the software segment is estimated to grow at a higher CAGR during the forecast period, as software solutions help healthcare providers gain a competitive edge despite the challenges of being short-staffed and facing increasing imaging scan volumes.
Based on end user, the AI in medical diagnostics market was dominated by the hospitals segment in 2019 with the largest share of 64.1%. The segment’s large share can be attributed to the rising number of diagnostic imaging procedures performed in hospitals, the growing inclination of hospitals toward the automation and digitization of radiology patient workflow, increasing adoption of minimally invasive procedures in hospitals to improve the quality of patient care, and the rising adoption of advanced imaging modalities to improve workflow efficiency.
Geographically, North America accounted for the largest share of 37.6% of the global AI in medical diagnostics market in 2019. However, the APAC market is projected to register the highest CAGR of 53.2% during the forecast period, primarily due to the growth strategies adopted by companies in the emerging markets, improved medical diagnostic infrastructure, increasing geriatric population, rising prevalence of cancer, and the implementation of favorable government initiatives.
Related Links:
MarketsandMarkets
Latest Industry News
- Leica Biosystems to Expand Pathology Portfolio Through StatLab Acquisition
- Natera’s Signatera Earns IVDR Certification for Solid Tumor MRD Testing
- Seed Amplification Test Expands Access to Neurodegenerative Disease Testing
- Eurobio Scientific Completes Acquisition of CareDx Lab Products Division
- Blood-Based CRISPR Test for Tuberculosis Gains Regulatory Approval in Colombia
- Merck KGaA to Acquire Bio-Techne, Expanding Life Science Portfolio
- Agilent Strengthens Pathology Capabilities Through Biocare Acquisition
- Partnership Integrates Automated DNA Extraction with Single-Molecule Digital PCR
- Project Aims to Develop First Single-Cell Assay for ADC Therapies
- Agreement Supports pTau217-Based Alzheimer’s Blood Test Development
- Collaboration Aims to Broaden Access to NETosis-Linked Disease Testing
- Partnership Aims to Improve Transplant Monitoring Across Care Continuum
- QIAGEN Enhances QIAcuity Platform with Gene Expression and Multiplexing Tools
- Partnership Expands Ultrasensitive Blood-Based Diagnostics for Hematologic Malignancies
- Genetic Testing Program Expands Detection of Alpha-1 Antitrypsin Deficiency
- Collaboration Advances ctDNA-Guided Development in Metastatic Colorectal Cancer
Channels
Clinical Chemistry
view channel
New Machine-Learning Equation Improves LDL Cholesterol Assessment
Accurate assessment of low-density lipoprotein (LDL) cholesterol is central to cardiovascular risk management, yet calculation methods can underestimate values in some patients. Laboratories widely use... Read more
Blood Biomarker May Signal Cognitive Decline Risk a Decade Before Symptoms
Accurately identifying which cognitively healthy older adults will later develop impairment due to Alzheimer’s disease remains difficult, as brain scans and genetic testing provide only part of the risk picture.... Read moreMolecular Diagnostics
view channel
New Biomarker Helps Guide Combination Therapy for Treatment-Resistant Breast Cancer
Chemotherapy resistance hampers treatment of triple-negative breast cancer (TNBC), particularly in tumors with TP53 mutations. Identifying biomarkers that signal resistance while pointing to actionable... Read moreBlood-Based Gene Expression Test Detects Early Pancreatic Cancer
Pancreatic cancer remains difficult to detect at a curable stage and is associated with poor survival outcomes. In Japan, the five-year relative survival rate is 8.5%, while early-stage disease accounts... Read moreHematology
view channel
New Biomarkers Predict Resistance to Targeted Therapy in Rare Blood Cancer
Blastic plasmacytoid dendritic cell neoplasm (BPDCN) is a rare and aggressive leukemia with limited treatment options and a poor prognosis. Although tagraxofusp is the first approved targeted therapy for... Read more
AI Decision Support System Guides Treatment Selection for Complex Blood Cancers
Treatment selection for hematologic malignancies often requires clinicians to synthesize clinical histories, genomic alterations, prior therapies, and rapidly evolving drug options. These complex decisions... Read moreImmunology
view channel
New Assays Expand Cytokine Testing for Transplant and Immunocompromised Patients
Eurofins Viracor has introduced three plasma-based assays—CXCL9 (Test Code 33607), CXCL10 (Test Code 33609), and interleukin-18 (IL-18) (Test Code 33611)—expanding its immunology testing menu for transplant... Read more
Cell-Free Assay Detects Functional IgE for Food Allergy Diagnosis
Accurately distinguishing sensitization from clinically relevant food allergy remains a challenge for laboratories, as routine blood tests detect allergen-specific immunoglobulin E (IgE) but not its capacity... Read more
Diagnostic Models Detect Hidden Eye Abnormalities After Mild COVID-19
Persistent ocular symptoms after COVID-19 can severely affect reading, work, and daily tasks, yet standard eye exams often reveal no clear abnormalities. Patients experiencing photophobia, eye pain, and... Read more
Anti-Lipid Antibody Biomarkers May Identify Early Lyme Disease and Persistent Symptoms
Lyme disease is often missed during its earliest and most treatable stage, while current serologic assays cannot distinguish active infection from prior exposure. Nearly half a million Americans are diagnosed... Read moreMicrobiology
view channel
Syndromic GI Panel Detects Cyclospora for Rapid Case Confirmation
U.S. health authorities have reported a rapid increase in cyclosporiasis since May 2026, with more than 1,600 confirmed infections and thousands of additional suspected cases under investigation.... Read more
Rapid Panel Identifies Gram-Negative Pathogens and Resistance Markers in Bloodstream Infections
Bloodstream infections require rapid identification of causative pathogens and resistance mechanisms to guide effective therapy. Delays in profiling gram-negative organisms, which are frequently associated... Read morePathology
view channel
AI Bone Marrow Mapping Provides New Tool to Track Blood Cancer Severity
Myelodysplastic neoplasms, a group of blood cancers that primarily affect older adults, are challenging to stage and monitor, often requiring repeated bone marrow biopsies that can yield uncertain interpretations.... Read more
Imaging Platform Maps Lipid Accumulations in Fabry Heart Tissue
Mapping the spatial distribution of disease-relevant molecules within tissue remains a diagnostic challenge, particularly before alterations are visible by conventional microscopy. In Fabry disease, a... Read moreTechnology
view channel
Training Device Improves Accuracy of Pooled Molecular Diagnostics
High-throughput molecular diagnostics have transformed infectious disease detection, but many workflows remain difficult to execute accurately without extensive training. Sample pooling can cut per‑test... Read more
New CE-Certified Software Advances Whole-Genome Cancer Testing
European hospitals are increasingly using comprehensive tumor genomics to guide therapy, but routine whole genome sequencing (WGS) requires validated, regulation-compliant workflows. A newly CE-certified... Read more








