AI (artificial intelligence) in healthcare market is estimated to be over US$ 3.2 Billion in 2019. It is anticipated to grow at a CAGR of ~51 % from 2019 to 2030.
The growth of the Artificial Intelligence (AI) in Healthcare market can be attributed to several factors which have led to wide scale adoption of AI in healthcare industry. Moreover, the AI ability to improve patient outcomes coupled with growing requirement for better healthcare facilities owing to imbalance between health workforce and patients is anticipated to further contribute to the substantial growth of the global AI in Healthcare market. To obtain better insights regarding the market scenario prominent players are increasingly focusing on collaborative initiatives with several institutes and research centers to provide better healthcare facilities. For instance, in February 2019, IBM, an information technology company, teamed up with two separate academic centers named Brigham and Womens Hospital and, Vanderbilt University Medical Center, for the use of AI in addressing major public health issues. The company declared a 10-year partnerships and an investment of US$ 50 million for the research of artificial intelligence.
Major Key Players of the AI in Healthcare Market are:
NVIDIA Corporation, Intel Corporation, GENERAL ELECTRIC COMPANY, Siemens Healthcare Private Limited, Koninklijke Philips N.V., IBM, Google, Micron Technology, Inc., Medtronic, and Microsoft among others
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AI analyzes complex medical data from a large volume of healthcare data sets, and then uses the obtained acumens to assist clinical practice and provide accurate conclusions. AI technology can be utilized in various processes of medical industry including drug development, medical imaging, treatment process outlining, and patient monitoring among others. Healthcare industry produces a tremendous amount of data, and with the help of AI this data can be leveraged for reasonable outcomes in healthcare industry, thereby propelling the market of AI in Healthcare and promote growth at a faster pace.
The AI in Healthcare Market is segmented on the basis of Offering, Technology, Application and region
Major Offering of AI in Healthcare Market covered are:
- Hardware
- Software
- Services
Major Technology of AI in Healthcare Market covered are:
- Machine Learning
- Natural Language Processing
- Context-Aware Computing
Major Applications of AI in Healthcare Market covered are:
- Inpatient Care & Hospital Management
- Medical Imaging & Diagnostics
- Patient Data and Risk Analysis
- Virtual Assistant
Growing number of cross-industry partnerships and collaborations by the key players and increasing number of innovative startups have significantly contributed the growth of the artificial intelligence in healthcare market. For instance, in 20017, Intel Corporation has partnered with University of California San Francisco to create a deep learning analytics platform to deliver clinical decision support and predictive analytics capabilities to its users.
Research objectives:-
– To study and analyze the global AI in Healthcare consumption (value & volume) by key regions/countries, product type and application, history data.
– To understand the structure of the AI in Healthcare market by identifying its various sub-segments.
– Focuses on the key global AI in Healthcare manufacturers, to define, describe and analyze the sales volume, value, market share, market competitive landscape, SWOT analysis, and development plans in the next few years.
– To analyze the AI in Healthcare with respect to individual growth trends, future prospects, and their contribution to the total market.
– To share detailed information about the key factors influencing the growth of the market (growth potential, opportunities, drivers, industry-specific challenges and risks).
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Table of Contents
- INTRODUCTION
- Market Definition
- Market Classification
- Geographic Scope
- Years Considered for the Study: Historical Years – 2016 & 2017; Base Year – 2018; Forecast Years – 2019 to 2030
- Currency Used
- RESEARCH METHODOLOGY
- Research Framework
- Data Collection Technique
- Data Sources
- Market Estimation Methodology
- Data Validation and Triangulation
- ABSTRACT OF THE STUDY
- MARKET DYNAMICS ASSESSMENT
- Overview
- Drivers
- Barriers/Challenges
- Opportunities
- UNIQUE SELLING PROPOSITION (USP)
- Technological Advancements
- GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY OFFERING
- Hardware
- Software
- Services
- GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY TECHNOLOGY
- Machine Learning
- Natural Language Processing
- Context-Aware Computing
- Others
- GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY APPLICATION
- Inpatient Care & Hospital Management
- Medical Imaging & Diagnostics
- Patient Data and Risk Analysis
- Virtual Assistant
- Others
- GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY END USER
- Patients
- Hospitals and Providers
- Pharmaceutical and Biotechnology Companies
- Others
- GLOBAL ARTIFICIAL INTELLIGENCE IN HEALTHCARE MARKET – ANALYSIS & FORECAST, BY REGION
- North America Artificial Intelligence In Healthcare Market
- Europe Artificial Intelligence In Healthcare Market
- Asia Pacific Artificial Intelligence In Healthcare Market
- Rest of the World (ROW) Artificial Intelligence In Healthcare Market
- COMPANY PROFILES (Business Overview, Products Offered, Financial Performance, Recent Developments)*
- NVIDIA Corporation
- Intel Corporation
- GENERAL ELECTRIC COMPANY
- Siemens Healthcare Private Limited
- Koninklijke Philips N.V.
- IBM
- Micron Technology, Inc.
- Medtronic
- Microsoft *Financial details might not be captured in case of privately-held companies or for companies that do not report this information in public domain
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In the end, AI in Healthcare industry report specifics the major regions, market scenarios with the product price, volume, supply, revenue, production, and market growth rate, demand, forecast and so on. This report also presents SWOT analysis, investment feasibility analysis, and investment return analysis.
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