Artificial Intelligence in Healthcare Market, by Products and Services (Hardware and Software & Services), by Technology (Speech Recognition, Natural Language Processing, Machine Learning, and Context Aware Processing), by Application (Imaging & Diagnosti

Artificial Intelligence in Healthcare Market, by Products and Services (Hardware and Software & Services), by Technology (Speech Recognition, Natural Language Processing, Machine Learning, and Context Aware Processing), by Application (Imaging & Diagnostics, Home Health, Medical Device and Robotics, Virtual Assistants, and Others), by End User (Hospitals & Clinics, Medical Device Companies, Diagnostic Centers, and Others), and by Region (North America, Latin America, Europe, Asia Pacific, Middle East, and Africa) - Size, Share, Outlook, and Opportunity Analysis, 2022 - 2028

Artificial intelligence is expected to aid in improving preventative care with the help of big data analysis and study of all the factors associated with disease diagnosis and treatment approach and assessment of the same. Physicians can take better decisions associated with treatment by relying on relevant data provided by artificial intelligence technologies. These technologies include algorithms, computer vision, machine learning, image recognition, speech recognition, cognitive computing, semantic web, and natural language processing. Features of artificial intelligence include pattern identification, management of big data, and eliminating bias. The capabilities of artificial intelligence largely depends on the quantity and quality of data accessible to the technology. Hence, growth of the market is dependent on its accessibility to data from various sectors of healthcare.
Market Dynamics
Artificial intelligence helps to transform conventional modelling of electronic health record (EHR) designs into accurately predicting multiple events such as in-hospital mortality, unplanned readmission, and patient’s discharge diagnoses. For instance, in May 2018, Google AI worked with colleagues from the University of California, San Francisco, Stanford Medicine, and The University of Chicago Medicine, to integrate machine learning into the electronic health records (EHR) in order to achieve scalable and accurate results, and developed a data processing pipeline for transforming EHR files into a standardized format. Furthermore, various major vendors of electronic health record are engaged in incorporating artificial intelligence (AI) and machine learning into EHRs. In March 2018, at the Healthcare Information and Management Systems Society (HIMSS) conference, various EHR vendors such as Allscripts, athenahealth, Cerner, eClinicalWorks, and Epic revealed their plans to integrate AI into the workflow for their upcoming electronic health record platforms.
Moreover, in data management, machine learning faces the challenge of real-time data sharing and accessibility. The healthcare industry requires the accessibility and sharing of case studies and data from across the world to regularly evolve cure and treatment procedures, and to conduct research accordingly. In order to provide efficient output, a core system is required where all the patients’, payers’, and providers’ data are available and shared in real-time across the globe.
Key features of the study:
This report provides in-depth analysis of the global artificial intelligence in healthcare market, market size (US$ Mn), and compound annual growth rate (CAGR (%)) for the forecast period (2022 - 2028), considering 2021 as the base year
It elucidates potential revenue opportunity across different segments and explains attractive investment proposition matrix for this market
This study also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, market trends, regional outlook, and competitive strategies adopted by leading players
It profiles key players in the global artificial intelligence in healthcare market based on the following parameters – company overview, financial performance, product portfolio, geographical presence, distribution strategies, key developments, and strategies
Key players covered as a part of this study include IBM Corporation, Google LLC, Medtronic Plc, Koninklijke Philips N.V., Nvidia Corporation, Microsoft Corporation, iCarbonX, CloudMedx Inc., Atomwise Inc., and Next IT Corporation.
Insights from this report would allow marketers and management authorities of companies to make informed decisions with respect to future product launches, governmental initiatives, technological up-gradation, market expansion, and marketing tactics
The global artificial intelligence in healthcare market report caters to various stakeholders in this industry, including investors, product manufacturers, distributors, and suppliers for artificial intelligence in healthcare market, research and consulting firms, new entrants, and financial analysts.
Detailed Segmentation:
Global Artificial Intelligence in Healthcare Market, By Products and Services:
Hardware
Software & Services
Global Artificial Intelligence in Healthcare Market, By Technology:
Speech Recognition
Natural Language Processing
Machine Learning
Context Aware Processing
Global Artificial Intelligence in Healthcare Market, By Application:
Imaging & Diagnostics
Home Health
Medical Device and Robotics
Virtual Assistants
Others
Global Artificial Intelligence in Healthcare Market, By End User:
Hospitals & Clinics
Medical Device Companies
Diagnostic Centers
Others
Global Artificial Intelligence in Healthcare Market, By Region:
North America
By Country:
U.S.
Canada
By Products and Services:
Hardware
Software & Services
By Technology:
Speech Recognition
Natural Language Processing
Machine Learning
Context Aware Processing
By Application:
Imaging & Diagnostics
Home Health
Medical Device and Robotics
Virtual Assistants
Others
By End User:
Hospitals & Clinics
Medical Device Companies
Diagnostic Centers
Others
Europe
By Country:
U.K.
Germany
Italy
Spain
France
Russia
Rest of Europe
By Products and Services:
Hardware
Software & Services
By Technology:
Speech Recognition
Natural Language Processing
Machine Learning
Context Aware Processing
By Application:
Imaging & Diagnostics
Home Health
Medical Device and Robotics
Virtual Assistants
Others
By End User:
Hospitals & Clinics
Medical Device Companies
Diagnostic Centers
Others
Asia Pacific
By Country:
Australia
India
China
Japan
ASEAN
South Korea
Rest of Asia Pacific
By Products and Services:
Hardware
Software & Services
By Technology:
Speech Recognition
Natural Language Processing
Machine Learning
Context Aware Processing
By Application:
Imaging & Diagnostics
Home Health
Medical Device and Robotics
Virtual Assistants
Others
By End User:
Hospitals & Clinics
Medical Device Companies
Diagnostic Centers
Others
Latin America
By Country:
Brazil
Mexico
Argentina
Rest of Latin America
By Products and Services:
Hardware
Software & Services
By Technology:
Speech Recognition
Natural Language Processing
Machine Learning
Context Aware Processing
By Application:
Imaging & Diagnostics
Home Health
Medical Device and Robotics
Virtual Assistants
Others
By End User:
Hospitals & Clinics
Medical Device Companies
Diagnostic Centers
Others
Middle East
By Country:
GCC
Israel
Rest of Middle East
By Products and Services:
Hardware
Software & Services
By Technology:
Speech Recognition
Natural Language Processing
Machine Learning
Context Aware Processing
By Application:
Imaging & Diagnostics
Home Health
Medical Device and Robotics
Virtual Assistants
Others
By End User:
Hospitals & Clinics
Medical Device Companies
Diagnostic Centers
Others
Africa
By Country/Region:
South Africa
Central Africa
North Africa
By Products and Services:
Hardware
Software & Services
By Technology:
Speech Recognition
Natural Language Processing
Machine Learning
Context Aware Processing
By Application:
Imaging & Diagnostics
Home Health
Medical Device and Robotics
Virtual Assistants
Others
By End User:
Hospitals & Clinics
Medical Device Companies
Diagnostic Centers
Others
Company Profiles
IBM Corporation*
Company Overview
Product Portfolio
Financial Performance
Recent Highlights
Strategies
Google LLC
Medtronic Plc
Koninklijke Philips N.V.
Nvidia Corporation
Microsoft Corporation
iCarbonX
CloudMedx Inc.
Atomwise Inc.
Next IT Corporation
“*” marked represents similar segmentation in other categories in the respective section.