AI In Healthcare market Research Report and Forecast to 2027 is an investigative report providing an extensive study of the global AI In Healthcare market with regards to market size, market share, current and emerging trends, and latest technological developments. The report also sheds light on the competitive landscape of the AI In Healthcare market on the global and regional scale, along with a thorough forecast estimation to 2027.
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 Operating in the 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.
The report aims to offers a thorough outlook of the Ai in Healthcare market based on various key elements, such as market drivers, limitations, threats, restraining factors, and growth prospects. The report aims to deliver a comprehensive understanding of the Ai in Healthcare market growth and expansion in each key region of the world. It offers accurate estimations about the expected market size and growth over the projected timeline of 2020-2027.
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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
- AI Platform
- Hardware
- Processor
- GPU
- MPU
- ASIC
- FPGA
- Network
- Memory
- Processor
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)
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Objectives of the Report:
- 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
- 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)
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