Ultra Market Research | Artificial intelligence in diagnostics market
https://ultramarketresearch.com/src/uploads/methodology.png

Artificial intelligence in diagnostics market

  • Report ID : 917

  • Category : Medical-Devices,Healthcare-Services

  • No Of Pages : 110

  • Published on: January 2025

  • Status: Published

  • Format : Power Point PDF Excel Word

Key Question Answer

check-box

Global Market Outlook

check-box

In-depth analysis of global and regional trends

check-box

Analyze and identify the major players in the market, their market share, key developments, etc.

check-box

To understand the capability of the major players based on products offered, financials, and strategies.

check-box

Identify disrupting products, companies, and trends.

check-box

To identify opportunities in the market.

check-box

Analyze the regional penetration of players, products, and services in the market.

check-box

Comparison of major players financial performance.

check-box

Evaluate strategies adopted by major players.

check-box

Recommendations

Introduction
Artificial Intelligence (AI) in the Diagnostics Market refers to the incorporation of AI technologies into diagnostic procedures to enhance accuracy, efficiency, and decision-making. Applications range from medical imaging analysis, pathology detection, and genomic diagnostics to predictive analytics. With recent advancements, AI-driven diagnostic tools are being adopted widely to improve early disease detection and personalized treatment strategies. Current estimates of the market place the figure at about USD 4.2 billion in 2023, growing at a CAGR of 27% over the next decade with growing demand for innovative healthcare solutions and improvements in algorithms in machine learning.


Segmentation
By Technology
•    Machine Learning
o    Supervised Learning
    Decision Trees
    Support Vector Machines
    Others
o    Unsupervised Learning
    Clustering Algorithms
    Neural Networks
o    Reinforcement Learning


•    Natural Language Processing
o    Text-Based Processing
    Clinical Notes Analysis
    Electronic Health Records (EHR) Insights
o    Speech Recognition


•    Computer Vision
o    Medical Imaging
    Radiology
    Pathology
o    Image Segmentation
    3D Imaging
    Pattern Recognition


•    Others
 

By Application
•    Medical Imaging
o    Radiology
    X-Ray Analysis
    MRI Scans
o    Cardiology Imaging
    Echocardiograms
o    Oncology Imaging


•    Pathology
o    Histopathology
o    Cytopathology
•    Genomics
o    Genetic Disorder Detection
o    Pharmacogenomics


•    Predictive Diagnostics
o    Disease Risk Assessment
o    Patient Outcome Prediction


•    Others


By End-User
•    Hospitals
o    Tertiary Care Centers
o    Specialty Hospitals


•    Diagnostic Centers
o    Standalone Diagnostic Labs
o    Chain Diagnostic Labs


•    Research Institutes

List of Market Players
1.    IBM Watson Health (United States)
2.    Google Health (United States)
3.    Siemens Healthineers (Germany)
4.    Philips Healthcare (Netherlands)
5.    GE Healthcare (United States)
6.    Zebra Medical Vision (Israel)
7.    Aidoc (Israel)
8.    Tempus Labs (United States)
9.    PathAI (United States)
10.    Enlitic (United States)
11.    Viz.ai (United States)
12.    Butterfly Network (United States)
13.    Freenome (United States)
14.    Arterys (United States)
15.    Qure.ai (India)


Drivers
The Artificial Intelligence in Diagnostics Market is driven by rapid technological advancements, an increase in the prevalence of chronic diseases, and growing investments in healthcare digitization. AI systems significantly reduce diagnostic errors and enhance clinical outcomes by providing precise and actionable insights. The rising adoption of AI in imaging modalities, genomics, and laboratory workflows further drives demand. Governments and private organizations are investing in AI initiatives to decrease healthcare costs and enhance patient outcomes. Furthermore, the trend of value-based healthcare systems across the globe is increasing the importance of AI-based diagnostics

 

Restraints
Despite these benefits, the market is hindered by high initial investment costs and a lack of standardized regulations for AI implementation in healthcare. Interoperability between AI platforms and existing hospital systems is also limited, which creates barriers to seamless integration. Data privacy and security concerns also prevent adoption, especially in regions with strict healthcare compliance requirements. In addition, the lack of skilled personnel to operate and interpret AI-driven diagnostics limits market growth
 

Opportunity
Emerging markets are one of the most promising growth grounds for AI in diagnostics since digital health technologies are increasingly penetrating these markets. Explainable AI models will enhance trust and adoption by healthcare professionals. Next, while telemedicine continues to advance, AI is integrated into wearable devices that use real-time diagnostics for applications. Finally, increased tech company collaborations with healthcare providers will drive innovation and create some promising areas for market expansion
 

Trend
Newest additions to the markets include federated learning, the ability to run AI models, train on the decentralized dataset in a privacy-conserving way related to patient info. In turn, the combined imaging-genomics-clinics multi-modal approaches are promising methods for whole organism diagnostics. Future areas of applications include digital pathology and surgical diagnosis with the involvement of augmented reality. It's further reshaping the industry landscape, considering that blockchain can now be used in integrating with rare disease diagnostics, securing data sharing, and whatnot
 

Approved Products Pipeline
•    IBM Watson for Oncology
•    Google’s DeepMind for Retinal Diseases
•    Siemens AI-Rad Companion
•    Zebra Medical Vision AI Suite
•    Aidoc Brain and Spine Detection Tools
•    Butterfly iQ+ Handheld Ultrasound
•    Viz.ai Stroke Detection Platform
•    Tempus xT Genomic Test
•    PathAI’s Digital Pathology Tools
•    Freenome’s AI-Powered Screening Solutions
 

Key Target Audience
•    Hospitals and Clinics
•    Diagnostic Laboratories
•    Research Institutions
•    AI Technology Providers
•    Government Health Departments
•    Medical Device Manufacturers
•    Academic Institutions
•    Healthcare IT Companies
 

FAQs

A1: The market size is valued at USD 4.2 billion in 2023.
A2: Accuracy in diagnostics, reduced errors, and growing healthcare digitization are key drivers.
A3: High costs, regulatory challenges, and data privacy concerns hinder growth.
A4: North America and Asia-Pacific regions demonstrate significant growth opportunities.
A5: Federated learning, multi-modal diagnostics, and AI in digital pathology are notable trends.

Choose License Type

  • $3000

  • $5000

  • $6000

Our Reports Look Like This

Ultra Market Research

HAVE A QUESTION

will help you find what you are looking for:


Related Reports

Recent Reports

Subscribe to Newsletter

Provide your email to get email notification when we publish new reports.

whatsapp