For an effectual business growth, companies must adopt market research report service which has become quite vital in this rapidly changing marketplace. Market research reports like Artificial Intelligence in Healthcare surely helps to reduce business risk and failure. A strong research methodology used here consists of data models that include market overview and guide, vendor positioning grid, market time line analysis, company positioning grid, company market share analysis, standards of measurement, top to bottom analysis and vendor share analysis. A worldwide Artificial Intelligence in Healthcare market analysis report serves a lot for the business and gives solution for the toughest business questions.
In addition, an influential Artificial Intelligence in Healthcare market report gives information about historic data, present market trends, environment, technological innovation, forthcoming technologies and the technical progress in the related industry. All this data helps Artificial Intelligence in Healthcare industry to take better steps to make their strategies superior to trade goods and services. The market information, facts, and statistics lead to actionable ideas, improved decision-making and better deciding business strategies. The report provides in detail information about market analysis, market definition, market segmentation, key development areas, competitive analysis and research methodology. Competitive intelligence included in Artificial Intelligence in Healthcare report is a further very important aspect that assists businesses top the market.
Data Bridge Market Research analyses that the artificial intelligence in healthcare market, which is USD 9.64 billion in 2022, is expected to reach USD 272.91 billion by 2030, at a CAGR of 51.87% during the forecast period 2023 to 2030. In addition to the insights on market scenarios such as market value, growth rate, segmentation, geographical coverage, and major players, the market reports curated by the Data Bridge Market Research also include depth expert analysis, patient epidemiology, pipeline analysis, pricing analysis, and regulatory framework.
Artificial intelligence (AI) in healthcare employs a variety of software programmes with complex algorithms that can simulate human senses in the analysis, interpretation, and comprehension of medical data. AI aids in evaluating the symptoms and patterns of diseases to offer better support, guidance, and feedback to healthcare providers. Apart from clinical diagnosis, it also aids in drug development, providing appropriate treatment plans for the ailment detected, providing personalized medicine, and monitoring patients' conditions. The use of AI in the healthcare industry has made drug discovery and development more cost-effective, time-efficient, and innovative.
Some of the major players operating in the artificial intelligence in healthcare market are:
  • NVIDIA Corporation (U.S.)
  • Intel Corporation (U.S.)
  • IBM (U.S.)
  • Google LLC (U.S.)
  • Microsoft (U.S.)
  • General Vision Inc. (U.S.)
  • Johnson & Johnson Services, Inc. (U.S.)
  • Siemens Healthcare GmbH (Germany)
  • Medtronic (Ireland)
  • CloudMedx Inc. (U.S.)
  • Agfa-Gevaert Group (Belgium)
  • Oncora Medical (U.S.)
  • Imagia Cybernetics Inc. (Canada)
Artificial Intelligence in Healthcare Market Scope:
The artificial intelligence in healthcare market is segmented on the basis of offering, technology, end-user and application. The growth amongst these segments will help you analyze meagre growth segments in the industries and provide the users with a valuable market overview and market insights to help them make strategic decisions for identifying core market applications.
  • Hardware
  • Processor
  • Memory processing unit
  • Graphical processing unit
  • Field programmable gate array
  • ASIC
  • Memory
  • Network
  • Software
  • Services
  • Deployment and integration
  • Suport and maintenance
  • Machine Learning
  • Supervised learning
  • Reinforcement learning
  • Unsupervised learning
  • Others
  • Robot-assisted Surgery
  • Virtual Assistants
  • Administrative Workflow Assistants
  • Connected Machines
  • Diagnosis
  • Clinical Trials
  • Fraud Detection
  • Cyber security
  • Others
End User
  • Acos and Mcos
  • Patients
  • Pharmaceuticals and Biotechnology Companies
  • Healthcare Payers
  • Others
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