AI in Healthcare: Global Market Analysis and Future Growth Trends

Artificial Intelligence (AI) requires data mining approach as well as pattern recognition to medically diagnose the condition of a patient. Neural networks process information by recognizing patterns and data that has been previously loaded into the system. Global artificial intelligence market includes 35% share of drug discovery and medical imaging which is likely to go up to 40% that will amount to USD 2.5 billion by 2024. This is possible due to competence of AI to recognize drug targets and help in drug design, discovery, identification and screening of molecules instantly. Medical imaging on the other hand is one of the major application areas that has led to improvement in cancer and tumor diagnosis using AI. It is primarily based on pattern recognition that effectively works using deep learning technique.

Market Key Players are:
IBM Watson Health
iCarbonX
AiCure
Pathway genomics
Atomwise
Cyrcadia Health

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AI in Healthcare Market, By Offerings
Hardware
Software
Services
Others

AI in Healthcare Market, By Technology
Machine Learning
Natural Language Processing
Context-Aware Computing
Vision
Others

AI in Healthcare Market, By Application
Diagnostic Imaging
Robot-Assisted Surgery
Virtual Assistant
Inpatient Care & Hospital Management
Patient Data and Risk Analysis
Drug Discovery
Wearables
Research
Precision Medicine
Others

AI in Healthcare Market, By End-User
Hospitals and Providers
Patients
Pharmaceutical and Biotechnology Companies
Others

AI in Healthcare Market, By Region
North America
Asia Pacific
Europe
RoW

In 2015, there was a wave of 18 new doctor-facing companies resulting in a positive net increase of 6 companies. This balanced out the net decrease in the other main categories for a minimal decline in 2015 in terms of total new companies. Using the application called Machine vision which forms an integral part of Artificial intelligence, it is now possible to translate data and simulate human intelligence by using ADC (Analog to digital Conversion) and DSP (Digital Signal Processing). Recent studies in the field of diagnostic AI include diagnosis of diseases like Alzheimer’s. Researchers at University of California have reported that after analyzing over 1000 patients imaging data was translated that successfully predicted presence of disease, six years to physician’s diagnosis. Similar algorithms can be trained to identify protein lumps in brain, abnormal cellular activities and anomalies in the human system. This in turn would help intervene the disease at much earlier stage.

Table of Content:
Executive Overview
AI Technology Segmentation/Platforms
AI in Different Healthcare Applications
AI Platforms Penetration in Different Healthcare Applications
IP Scenario: AI in Healthcare
Key Insights
AI in Healthcare Market, By Offerings
AI in Healthcare Market, By Technology
AI in Healthcare Market, By Application
AI in Healthcare Market, By End-User
AI in Healthcare Market, By Region
Competitive Landscape
Company Profiling

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