Smart In Vitro Diagnostics. Artificial Intelligence for IVD Markets by Application, By Technology, By Product and By User. With Executive and Consultant Guides 2025-2029
Artificial Intelligence will drive IVD market growth over the next 20 years. The market is exploding as physicians use all the information they can get to battle disease. While Pharmaceutical Companies see the potential to make nearly any therapy viable. Find out how this new approach to diagnostics will change medical care forever.
Learn all about how players are jockeying for position in a market that is being created from scratch. And some players are pulling way out in front and expanding globally. It is a dynamic market situation with enormous opportunity where the right diagnostic with the right support can command premium pricing. And the science is developing at the same time creating new opportunities with regularity. And the cost of many commodity diagnostics continues to fall.
The report includes detailed breakouts for 18 Countries and 4 Regions. A detailed breakout for any country in the world is available to purchasers of the report.
Table of Contents
1. Market Guides
1.1. Strategic Situation Analysis
1.2. Guide for Executives, Marketing, and Business Development Staff
1.3. Guide for Management Consultants and Investment Advisors
2. Introduction and Market Definition
2.1. What are Smart Diagnostics?
2.2. Market Definition
2.2.1. Revenue Market Size
2.3. Methodology
2.3.1. Methodology
2.3.2. Sources
2.3.3. Authors
2.4. Perspective: Healthcare and the IVD Industry
2.4.1. Global Healthcare Spending
2.4.2. Spending on Diagnostics
2.4.3. Important Role of Insurance for Diagnostics
3. Market Overview
3.1. Players in a Dynamic Market
3.1.1. Academic Research Lab
3.1.2. Diagnostic Test Developer
3.1.3. Instrumentation Supplier
3.1.4. Chemical/Reagent Supplier
3.1.5. Pathology Supplier
3.1.6. Independent Clinical Laboratory
3.1.7. Public National/regional Laboratory
3.1.8. Hospital Laboratory
3.1.9. Physicians Office Lab (POLS)
3.1.10. Audit Body
3.1.11. Certification Body
3.2. Understanding Artificial Intelligence
3.2.1. Artificial intelligence
3.2.2. Machine learning
3.2.3. Deep learning
3.2.4. Convolutional neural networks
3.2.5. Generative adversarial networks
3.2.6. Limitations
3.3. AI Applications in IVD
3.3.1. Infectious Disease
3.3.1.1. Known vs. Unknown
3.3.1.2. TMI
3.3.1.3. Disease surveillance
3.3.1.4. Outbreak detection
3.3.1.5. Contact tracing
3.3.1.6. Forecasting
3.3.1.7. Drug discovery
3.3.1.8. Resource allocation
3.3.2. Oncology
3.3.2.1. Electronic health records
3.3.2.2. Genomic analysis
3.3.2.3. Treatment planning
3.3.2.4. Clinical trial matching
3.3.3. Anatomic Pathology
3.3.3.1. Image analysis
3.3.3.2. Tumor segmentation
3.3.3.3. Disease classification
3.3.3.4. Predictive modeling
3.3.3.5. Quality control
3.3.3.6. Digital pathology
3.3.4. Cardiology
3.3.4.1. Electrocardiogram analysis
3.3.4.2. Electronic health records
3.3.4.3. Genomic analysis
3.3.4.4. Treatment planning
3.3.4.5. Prediction of outcomes
3.3.5. Diabetes
3.3.5.1. Diagnosis
3.3.5.2. Blood glucose monitoring
3.3.5.3. Personalized treatment plans
3.3.5.4. Medication management
3.3.5.5. Diabetes education
3.3.5.6. Predictive analytics
3.3.6. General Medicine
3.3.6.1. Diagnosis
3.3.6.2. Predictive Analytics
3.3.6.3. Personalized Treatment Plans
3.3.6.4. Medication Management
3.3.6.5. Disease Monitoring
3.3.6.6. Telemedicine
4. Market Trends
4.1. Factors Driving Growth
4.1.1. Outcome Improvement
4.1.2. The Aging Effect
4.1.3. Cost Containment
4.1.4. Physician Impact
4.1.5. Cost of Intelligence
4.2. Factors Limiting Growth
4.2.1. State of knowledge
4.2.2. Genetic Blizzard
4.2.3. Protocol Resistance
4.2.4. Regulation and coverage
4.3. Instrumentation, Automation and Diagnostic Trends
4.3.1. Traditional Automation and Centralization
4.3.2. The New Automation, Decentralization and Point Of Care
4.3.3. Instruments Key to Market Share
4.3.4. Bioinformatics Plays a Role
4.3.5. PCR Takes Command
4.3.6. Next Generation Sequencing Fuels a Revolution
4.3.7. NGS Impact on Pricing
4.3.8. Whole Genome Sequencing, A Brave New World
4.3.9. Companion Diagnostics Blurs Diagnosis and Treatment
4.3.10. Shifting Role of Diagnostics
5. Recent Developments
5.1. Recent Developments - Importance and How to Use This Section