Artificial Intelligence in Healthcare Market Dynamic Innovation in Technology & Insights 2032

 At the end of 2021, the global Artificial Intelligence In Healthcare Market was estimated to be worth roughly US$ 7.0 billion. The market is expected to grow at a 38.5% CAGR and reach a value of US$ 181.8 billion by 2032.

Artificial Intelligence in Healthcare
Artificial Intelligence in Healthcare


 “The market for artificial intelligence in healthcare is likely to thrive as a result of the need to reduce rising healthcare costs and the growing shortage of care providers.”

Get Full Access @ https://www.futuremarketinsights.com/reports/artificial-intelligence-in-healthcare-market

Artificial intelligence (AI) is used in healthcare to understand and analyze data in order to perform clinical diagnosis and provide appropriate treatment solutions for a condition. It analyzes disease patterns and symptoms utilizing a range of technologies and powerful algorithms, while also providing improved guidance, criticism, and assistance to healthcare practitioners. Furthermore, AI-powered systems can analyze healthcare data via wearable smart devices, provide patients with digital and virtual consultations, and provide drug formulation and management services.

Key Players in the Artificial Intelligence in Healthcare Market:

Amazon Web Services Inc., Cloudmedx Inc., DeepMind, Enlitic Inc., General Vision Inc., Google Inc., International Business Machines, iCarbonX, Intel Corporation, Medtronic, Micron Technology Inc., Microsoft Corporation, Nuance Communications Inc., Nvidia Corporation, Seimens Healthcare and Welltok Inc.

Key Segments Covered in the Artificial Intelligence in Healthcare Industry Survey

By Offering:

  • Hardware
  • Software
  • Services

By Technology:

  • Machine Learning
  • Context-Aware Computing
  • Natural Language Processing
  • Deep Learning
  • Querying Method
  • Others

By Application:

  • Robot-Assisted Surgery
  • Virtual Nursing Assistant
  • Administrative Workflow Assistance
  • Fraud Detection
  • Dosage Error Reduction
  • Clinical Trial Participant Identifier
  • Preliminary Diagnosis
  • Others

By End User:

  • Healthcare Providers
  • Pharmaceutical and Biotechnology Companies
  • Patients
  • Others

 

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