Global Artificial Intelligence in Healthcare Market Industry | Whipsmartmi


Posted August 6, 2021 by jenmichel

whipsmartmi.com offers a new market report on “Artificial Intelligence in Healthcare Market” that identifies growth, opportunities, latest trends and key players

 
Artificial Intelligence in Healthcare Market is projected to grow up to USD 43.4 billion by 2027 growing at a CAGR of 46.5% during the

forecasting period 2021-2027.
Artificial intelligence is now covering a wide range of healthcare applications. In particular, it has been used for signal and image processing, and for predictions of function changes such as in urinary bladder control, epileptic seizures, and stroke predictions. In the healthcare market, the major factors driving growth are the increasing volume of healthcare data and increasing complexity of datasets driving the need for AI, the intensifying need to reduce soaring healthcare costs, improving computing power and declining hardware costs, the increasing number of cross-industry collaborations, and the growing imbalance between health workforce and patients driving the need for improvised healthcare services.
AI is now covering a wide range of healthcare applications. In particular, it has been used for signal and image processing, and for predictions of function changes such as in urinary bladder control, epileptic seizures, and stroke predictions. With the rapid development and deployment of a new generation of artificial intelligence (AI) algorithms and products, AI is playing an increasingly important role in everyday life, and is having a significant impact on the very fabric of the modern society.
View Complete Report: @ https://whipsmartmi.com/report/artificial-intelligence-in-healthcare-market
The Artificial Intelligence in Healthcare Market report has been categorized as below
By Offering
Hardware
Processor
MPU
GPU
FPGA
ASIC
Memory
Network
Software
AI Solutions
On-Premises
Cloud
AI Platform
Machine Learning Framework
Application Program Interface
Services
Deployment & Integration
Support & Maintenance
By Technology
Machine Learning
Deep Learning
Supervised Learning
Reinforcement Learning
Unsupervised Learning
Others
Natural Language Processing
Context-Aware Computing
Computer Vision
By End-Use Application
Patient Data & Risk Analysis
Inpatient Care & Hospital Management
Medical Imaging & Diagnostics
Lifestyle Management & Patient Monitoring
Virtual Assistants
Drug Discovery
Research
Healthcare Assistance Robots
Precision Medicine
Emergency Room & Surgery
Wearables
Mental Health
Cybersecurity
By End User
Hospitals & Healthcare Providers
Patients
Pharmaceuticals & Biotechnology Companies
Healthcare Payers
Others (ACOS and MCOS)
By Region
North America
Europe
Asia Pacific
Rest of the World
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Last Updated August 6, 2021