Ai in Healthcare Market Share by Growth Size, Driving Factors, Key Segments and Regional Analysis

Health-related applications of AI are aimed at facilitating and innovating treatment procedures to bring out accurate patient outcomes.

The Ai in Healthcare Market intelligence report further offers hard to find data derived from attractiveness analysis that narrates a lot about the products, regions and applications expected to generate more revenue. The research study sheds light on the key growth opportunities and market trends along with other vital market dynamics, including the drivers and restraints on the industry growth. With this report, the prospective buyers can be sure to become capable of adapting to the changes in the Ai in Healthcare industry.

AI in healthcare offers countless opportunities to organizations to capitalize on state-of-the-art technology to provide more efficient interventions, starting from chronic diseases like cancer to radiologic procedures and risk assessment. AI in the healthcare space proffers numerous advantages over traditional analytical methods and decision-making processes.  Machine learning, cloud computing, and deep learning algorithms within the broad AI spectrum have helped healthcare providers to gain valuable insights into diagnostics and care processes, which has, in turn, resulted in treatment variability and more precise patient outcomes.

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Top Companies Ai in Healthcare Market and Profiled in the Report are:

IBM (Watson Health), AiCure, Atomwise, Inc., Lifegraph, APIXIO, Inc., Cyrcadia Health Inc., Enlitic, Inc., iCarbonX, Zebra Medical Vision Ltd., Butterfly Network, Inc., Insilico Medicine, Inc., Sophia Genetics, Pathway Genomics Corporation, Modernizing Medicine, Sense.ly, and Welltok, among others.

Key Highlights of Report

  • IBM had acquired RedHat in July 2019 to pair its innovation and industry expertise with RedHat’s open hybrid cloud technologies. Together, the companies developed a next-generation hybrid multi-cloud platform for healthcare organizations to help them securely manage medical data and deploy the applications on multiple public and private clouds and premises.
  • In March 2020, EBSCO Information Services joined hands with IBM Watson Health to provide organizations with access to evidence-based drug and disease information, which could help them cope better with severe infectious diseases, including COVID-19.
  • The report evaluates the global market consumption rate in terms of value and volume and focuses on the key regions/countries dominating the global AI in healthcare market.
  • The report methodically profiles the key players in the AI in healthcare market, examines their competitive developments and growth strategies, such as expansions, agreements, acquisitions, and new product launches.

Browse the complete Global Ai in Healthcare Market Research Report – Industry Analysis, Size, Share, Growth, Trends @ https://www.emergenresearch.com/industry-report/ai-in-healthcare-market

Objectives of the Report:

  • Study of the global Ai in Healthcare market size by key regions, types, and applications with reference to historical data (2017-2018) and forecast (2020-2027)
  • Industrial structure analysis of the Ai in Healthcare market by identification of various sub-segments
  • Extensive analysis of key market players along with their SWOT analysis
  • Competitive landscape benchmarking
  • Analysis of Ai in Healthcare market based on growth trends, futuristic outlook, and contribution to the total growth of the market
  • Analysis of drivers, constraints, opportunities, challenges, and risks in the global Ai in Healthcare market
  • Comprehensive analysis of competitive developments such as expansions, agreements, new product launches, and other strategic alliances

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Technology Type:

  • Machine Learning
    • Deep Learning
    • Reinforcement Learning
    • Supervised Learning
    • Unsupervised Learning
    • Others
  • Computer Vision
  • Context-Aware Computing
  • Natural Language Processing

Offering:

  • Software
    • AI Platform
      • Machine Learning Framework
      • Application Program Interface
    • AI Solutions
      • Cloud
      • On-Premise
    • Deployment Integration
    • Support Maintenance
  • Hardware
    • Processor
      • GPU
      • MPU
      • ASIC
      • FPGA
    • Network
    • Memory

Application:

  • Inpatient Care Hospital Management
  • Medical Imaging Diagnostics
  • Lifestyle Management Patient Monitoring
  • Drug Discovery Research
  • Patient Data Risk Analysis
  • Virtual Assistants
  • Healthcare Assistance Robots
  • Emergency Room Surgery
  • Precision Medicine
  • Mental Health
  • Wearables
  • Cybersecurity

End-User:

  • Pharmaceuticals Biotechnology Companies
  • Hospitals Healthcare Providers
  • Healthcare Payers
  • Patients
  • Others (ACOS and MCOS)

On the basis of regional analysis, the market is segmented into the following regions: North America, Latin America, Europe, Asia Pacific, and Middle East Africa. The market is expected to be dominated by North American nations closely followed by European countries. Asia Pacific is expected to show a significant growth owing to recent advancements and rising investments in the RD sector.

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