Towards Healthcare
AI in Healthcare Market Size | 37.66% - CAGR Growth by 2032

AI in Healthcare Market Size Envisioned at USD 355.78 Billion Market by 2032

The report covers AI in Healthcare Market Size and Segments based on components such as software, hardware and services. Its applications range from virtual assistants and diagnosis to robot-assisted surgery, wearables and administrative workflow assistance. It addresses cybersecurity, dosage error reduction, fraud detection and connectivity of machines, among others. Leveraging technologies like machine learning, natural language processing, context-aware computing and computer vision. Its end-users include hospitals, healthcare providers, patients, pharmaceutical and biotechnology companies. The report offers the value (in USD Billion) for the above segments.

Introduction

  • Research Objective
  • Scope of the Study
  • Definition and Taxonomy

Research Methodology

  • Research Approach
  • Data Sources
  • Assumptions

Executive Summary

  • Synopsis
  • Analyst Recommendations

Market Overview 

  • Market Dynamics
    • Market Drivers
    • Market Restraints
    • Market Opportunities
  • Value Chain Analysis
    • Raw Material Sourcing
    • Manufacturing Process
    • Logistics & Transportation
    • Buyer Preferences
  • Trends
    • Market Trends
    • Technological Trends
  • Porter’s Five Forces Analysis
    • Bargaining Power of Suppliers
    • Bargaining Power of Buyers
    • Threat of Substitute
    • Threat of New Entrants
    • Degree of Competition
  • PESTLE Analysis for 5 Leading Countries
    • Regulatory Framework for Leading Countries/Regions
    • Supply Demand Analysis
    • Production & Consumption Statistics
    • Export Import Statistics
    • Price Trend Analysis

Global AI in Healthcare Market Assessment

  • Overview
  • Global AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Component (2021 – 2033)
    • Software
    • Hardware
    • Service
  • Global AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Virtual Assistant
    • Diagnosis
    • Robot-assisted Surgery
    • Clinical Trial
    • Wearables
    • Administrative Workflow Assistant
    • Cybersecurity
    • Dosage Error Reduction
    • Fraud Errors Detection
    • Connected Machines
    • Others
  • Global AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Technology (2021 – 2033)
    • Machine Learning
    • Natural Language Processing
    • Context-aware Computing
    • Computer Vision
  • Global AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospital and Healthcare Providers
    • Patients
    • Pharmaceutical and Biotechnology Companies
    • Healthcare Payers
  • Global AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Geography (2021 – 2033)
    • North America
      • US
      • Canada
    • Europe
      • UK
      • Germany
      • France
      • Rest of Europe
    • Asia-Pacific
      • China
      • Japan
      • India
      • South Korea
      • Rest of Asia Pacific
    • Latin America
      • Brazil
      • Rest of Latin America
    • Middle East and Africa
      • UAE
      • Saudi Arabia
      • South Africa
      • Rest of the Middle East and Africa

North America AI in Healthcare Market Assessment

  • Overview
  • North America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Component (2021 – 2033)
    • Software
    • Hardware
    • Service
  • North America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Virtual Assistant
    • Diagnosis
    • Robot-assisted Surgery
    • Clinical Trial
    • Wearables
    • Administrative Workflow Assistant
    • Cybersecurity
    • Dosage Error Reduction
    • Fraud Errors Detection
    • Connected Machines
    • Others
  • North America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Technology (2021 – 2033)
    • Machine Learning
    • Natural Language Processing
    • Context-aware Computing
    • Computer Vision
  • North America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospital and Healthcare Providers
    • Patients
    • Pharmaceutical and Biotechnology Companies
    • Healthcare Payers
  • North America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Country (2021 – 2033)
    • US
    • Canada

Global AI in Healthcare Market Assessment

  • Overview
  • Europe AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Component (2021 – 2033)
    • Software
    • Hardware
    • Service
  • Europe AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Virtual Assistant
    • Diagnosis
    • Robot-assisted Surgery
    • Clinical Trial
    • Wearables
    • Administrative Workflow Assistant
    • Cybersecurity
    • Dosage Error Reduction
    • Fraud Errors Detection
    • Connected Machines
    • Others
  • Europe AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Technology (2021 – 2033)
    • Machine Learning
    • Natural Language Processing
    • Context-aware Computing
    • Computer Vision
  • Europe AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospital and Healthcare Providers
    • Patients
    • Pharmaceutical and Biotechnology Companies
    • Healthcare Payers
  • Europe AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Country (2021 – 2033)
    • UK
    • Germany
    • France
    • Rest of Europe

Asia-Pacific AI in Healthcare Market Assessment

  • Overview
  • Asia-Pacific AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Component (2021 – 2033)
    • Software
    • Hardware
    • Service
  • Asia-Pacific AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Virtual Assistant
    • Diagnosis
    • Robot-assisted Surgery
    • Clinical Trial
    • Wearables
    • Administrative Workflow Assistant
    • Cybersecurity
    • Dosage Error Reduction
    • Fraud Errors Detection
    • Connected Machines
    • Others
  • Asia-Pacific AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Technology (2021 – 2033)
    • Machine Learning
    • Natural Language Processing
    • Context-aware Computing
    • Computer Vision
  • Asia-Pacific AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospital and Healthcare Providers
    • Patients
    • Pharmaceutical and Biotechnology Companies
    • Healthcare Payers
  • Asia-Pacific AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Country (2021 – 2033)
    • China
    • Japan
    • India
    • South Korea
    • Rest of Asia Pacific

Latin America AI in Healthcare Market Assessment

  • Overview
  • Latin America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Component (2021 – 2033)
    • Software
    • Hardware
    • Service
  • Latin America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Virtual Assistant
    • Diagnosis
    • Robot-assisted Surgery
    • Clinical Trial
    • Wearables
    • Administrative Workflow Assistant
    • Cybersecurity
    • Dosage Error Reduction
    • Fraud Errors Detection
    • Connected Machines
    • Others
  • Latin America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Technology (2021 – 2033)
    • Machine Learning
    • Natural Language Processing
    • Context-aware Computing
    • Computer Vision
  • Latin America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospital and Healthcare Providers
    • Patients
    • Pharmaceutical and Biotechnology Companies
    • Healthcare Payers
  • Latin America AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Country (2021 – 2033)
    • Brazil
    • Rest of Latin America

Middle East & Africa AI in Healthcare Market Assessment

  • Overview
  • Middle East & Africa AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Component (2021 – 2033)
    • Software
    • Hardware
    • Service
  • Middle East & Africa AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Application (2021 – 2033)
    • Virtual Assistant
    • Diagnosis
    • Robot-assisted Surgery
    • Clinical Trial
    • Wearables
    • Administrative Workflow Assistant
    • Cybersecurity
    • Dosage Error Reduction
    • Fraud Errors Detection
    • Connected Machines
    • Others
  • Middle East & Africa AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Technology (2021 – 2033)
    • Machine Learning
    • Natural Language Processing
    • Context-aware Computing
    • Computer Vision
  • Middle East & Africa AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by End User (2021 – 2033)
    • Hospital and Healthcare Providers
    • Patients
    • Pharmaceutical and Biotechnology Companies
    • Healthcare Payers
  • Middle East & Africa AI in Healthcare Market Size Value (US$) and Volume (Billion Tons), by Country (2021 – 2033)
    • UAE
    • Saudi Arabia
    • South Africa
    • Rest of the Middle East and Africa

Company Profiles

  • Enlitic
  • Google
  • IBM
  • Intel
  • Lunit
  • Microsoft
  • Nvidia
  • Siemens Healthineers
  • Philips
  • Johnson and Johnson
  • Medtronic

Conclusion & Recommendations

  • Insight Code: 5073
  • No. of Pages: 150+
  • Format: PDF/PPT/Excel
  • Published: December 2023
  • Report Covered: [Revenue + Volume]
  • Historical Year: 2021-2022
  • Base Year: 2023
  • Estimated Years: 2024-2033

About The Author

Rohan Patil is a seasoned market research professional with over 5 years of experience specializing in the healthcare sector. His expertise spans various facets of healthcare, including market dynamics, emerging trends, regulatory changes, and technology-driven innovations. With a keen eye for detail and a deep understanding of the global healthcare landscape, Rohan has been instrumental in shaping actionable insights that guide healthcare organizations in making informed, data-driven decisions.

Rohan's extensive experience covers a wide range of healthcare segments, from pharmaceuticals and biotechnology to medical devices and digital health. He has worked on numerous projects that evaluate market potential, assess competitive landscapes, and identify growth opportunities in rapidly evolving sectors in the healthcare industry.

His analytical acumen and ability to synthesize complex data have made him a trusted advisor to healthcare companies, helping them navigate the challenges and opportunities within the healthcare ecosystem. Rohan is particularly passionate about how technology and innovation are reshaping healthcare delivery, and his reports provide valuable insights into the impact of digital transformation on patient care, outcomes, and cost-efficiency.

With a strong track record in healthcare market research, Rohan continues to contribute significantly to the advancement of the industry by delivering data-backed strategies and comprehensive market analysis.

FAQ's

Artificial intelligence (AI) is crucial in healthcare sector processes and applications, including virtual assistants, clinical trials, wearables, cybersecurity, administrative workflow assistants, robotic surgery assistance, diagnosis, dosage error reduction, and fraud error detection. The market is increasing because of Appropriate and precise healthcare solutions. As an AI application in Healthcare, it is anticipated to keep growing to demonstrate its worth in raising overall healthcare outcomes. AIs significant impact on Healthcare is that it Reduces the Financial Burden of Treatment and improves patient care.

The major players that play vital roles in the healthcare industry are Google, IBM, Intel ,Lunit ,Microsoft,Nvidia ,Siemens Healthineers, Philips , Johnson and Johnson, and Medtronic.

Innovations like machine learning and deep learning have led to an expansion of the healthcare market. The most common application of deep learning in medical imaging, such as X-rays, is the detection of cancerous areas and cancerous traces. Deep Learning and radiomics aid in the analysis of data connected to cancer. CT imaging is frequently used to diagnose diseases and speeds up cancer diagnosis. All of these innovations are driving the market ahead.

National Library of Medicine, USAgov., Elsevier B.V., American Cancer Society

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