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Artificial Intelligence (AI) in Healthcare Market Size, Growth, Demands Outlook and Forecasts to 2030

Precedence Research - January 30, 2023

According to the research report, the global artificial intelligence in healthcare market size is expected to touch USD 187.95 Billion by 2030, from USD 15.1 Billion in 2022, growing with a significant CAGR of 37% from 2022 to 2030. 

Artificial Intelligence in Healthcare Market Size 2021 to 2030

The artificial intelligence in healthcare report offers a comprehensive study of the current state expected at the major drivers, market strategies, and key vendors’ growth. The report presents energetic visions to conclude and study the market size, market hopes, and competitive surroundings. The research also focuses on the important achievements of the market, research & development, and regional growth of the leading competitors operating in the market. The current trends of the global artificial intelligence in healthcare in conjunction with the geographical landscape of this vertical have also been included in this report.

The report offers intricate dynamics about different aspects of the global artificial intelligence in healthcare market, which aids companies operating in the market in making strategic development decisions. The study also elaborates on significant changes that are highly anticipated to configure growth of the global artificial intelligence in healthcare during the forecast period. It also includes a key indicator assessment that highlights growth prospects of this market and estimates statistics related to growth of the market in terms of value (US$ Mn) and volume (tons).

Sample Link @ https://www.precedenceresearch.com/sample/1616

 Report Scope of the Artificial Intelligence in Healthcare Market

Report CoverageDetails
Market Size by 2030USD 187.95 Billion
Growth Rate from 2022 to 2030

CAGR of 37%

North America Market Share in 202158.1%
Software Solutions Segment Market Share in 202139.5%
Base Year2021
Forecast Period2022 to 2030
Segments CoveredComponent, Application, Technology, End USer, Geography

This study covers a detailed segmentation of the global artificial intelligence in healthcare market, along with key information and a competition outlook. The report mentions company profiles of players that are currently dominating the global artificial intelligence in healthcare market, wherein various developments, expansions, and winning strategies practiced and implemented by leading players have been presented in detail.

Key Players

  • Intel
  • Koninklijke Philips
  • Microsoft
  • IBM
  • Siemens Healthineers
  • Nvidia
  • Google
  • General Electric Company
  • Medtronic
  • Micron Technology
  • Amazon Web Services
  • Johnson & Johnson
  • General Vision
  • CloudmedX
  • Oncora Medical
  • Enlitic
  • Lunit

Market Segmentation

 By Component

  • Software
  • Hardware
  • Services

By Application

  • Virtual Assistants
  • Diagnosis
  • Robot Assisted Surgery
  • Clinical Trials
  • Wearables
  • Administrative Workflow Assistants
  • Cybersecurity
  • Dosage Error Reduction
  • Fraud Detection
  • Connected Machines

By Technology

  • Machine Learning
  • Natural Language Processing
  • Context-aware Computing
  • Computer Vision

By End User

  • Hospital & Healthcare Providers
  • Patients
  • Pharmaceuticals & Biotechnology Companies
  • Healthcare Payers

By Geography

  • North America
    • U.S.
    • Canada
  • Europe
    • U.K.
    • Germany
    • France
  • Asia-Pacific
    • China
    • India
    • Japan
    • South Korea
    • Malaysia
    • Philippines
  • Latin America
    • Brazil
    • Rest of Latin America
  • Middle East & Africa (MEA)
    • GCC
    • North Africa
    • South Africa
    • Rest of the Middle East & Africa

Research Methodology

The research methodology adopted by analysts for compiling the global artificial intelligence in healthcare report is based on detailed primary as well as secondary research. With the help of in-depth insights of the market-affiliated information that is obtained and legitimated by market-admissible resources, analysts have offered riveting observations and authentic forecasts for the global market.

During the primary research phase, analysts interviewed market stakeholders, investors, brand managers, vice presidents, and sales and marketing managers. Based on data obtained through interviews of genuine resources, analysts have emphasized the changing scenario of the global market.

For secondary research, analysts scrutinized numerous annual report publications, white papers, market association publications, and company websites to obtain the necessary understanding of the global artificial intelligence in healthcare market.

TABLE OF CONTENT

Chapter 1. Introduction

1.1. Research Objective

1.2. Scope of the Study

1.3. Definition

Chapter 2. Research Methodology

2.1. Research Approach

2.2. Data Sources

2.3. Assumptions & Limitations

Chapter 3. Executive Summary

3.1. Market Snapshot

Chapter 4. Market Variables and Scope 

4.1. Introduction

4.2. Market Classification and Scope

4.3. Industry Value Chain Analysis

4.3.1. Raw Material Procurement Analysis 

4.3.2. Sales and Distribution Channel Analysis

4.3.3. Downstream Buyer Analysis

Chapter 5. COVID 19 Impact on Artificial Intelligence (AI) in Healthcare Market 

5.1. COVID-19 Landscape: Artificial Intelligence (AI) in Healthcare Industry Impact

5.2. COVID 19 - Impact Assessment for the Industry

5.3. COVID 19 Impact: Global Major Government Policy

5.4. Market Trends and Opportunities in the COVID-19 Landscape

Chapter 6. Market Dynamics Analysis and Trends

6.1. Market Dynamics

6.1.1. Market Drivers

6.1.2. Market Restraints

6.1.3. Market Opportunities

6.2. Porter’s Five Forces Analysis

6.2.1. Bargaining power of suppliers

6.2.2. Bargaining power of buyers

6.2.3. Threat of substitute

6.2.4. Threat of new entrants

6.2.5. Degree of competition

Chapter 7. Competitive Landscape

7.1.1. Company Market Share/Positioning Analysis

7.1.2. Key Strategies Adopted by Players

7.1.3. Vendor Landscape

7.1.3.1. List of Suppliers

7.1.3.2. List of Buyers

Chapter 8. Global Artificial Intelligence (AI) in Healthcare Market, By Component

8.1. Artificial Intelligence (AI) in Healthcare Market, by Component Type, 2022-2030

8.1.1. Software

8.1.1.1. Market Revenue and Forecast (2017-2030)

8.1.2. Hardware

8.1.2.1. Market Revenue and Forecast (2017-2030)

8.1.3. Services

8.1.3.1. Market Revenue and Forecast (2017-2030)

Chapter 9. Global Artificial Intelligence (AI) in Healthcare Market, By Application

9.1. Artificial Intelligence (AI) in Healthcare Market, by Application, 2022-2030

9.1.1. Virtual Assistants

9.1.1.1. Market Revenue and Forecast (2017-2030)

9.1.2. Diagnosis

9.1.2.1. Market Revenue and Forecast (2017-2030)

9.1.3. Robot Assisted Surgery

9.1.3.1. Market Revenue and Forecast (2017-2030)

9.1.4. Clinical Trials

9.1.4.1. Market Revenue and Forecast (2017-2030)

9.1.5. Wearables

9.1.5.1. Market Revenue and Forecast (2017-2030)

9.1.6. Administrative Workflow Assistants

9.1.6.1. Market Revenue and Forecast (2017-2030)

9.1.7. Cybersecurity

9.1.7.1. Market Revenue and Forecast (2017-2030)

9.1.8. Dosage Error Reduction

9.1.8.1. Market Revenue and Forecast (2017-2030)

9.1.9. Fraud Detection

9.1.9.1. Market Revenue and Forecast (2017-2030)

9.1.10. Connected Machines

9.1.10.1. Market Revenue and Forecast (2017-2030)

Chapter 10. Global Artificial Intelligence (AI) in Healthcare Market, By Technology Type 

10.1. Artificial Intelligence (AI) in Healthcare Market, by Technology Type, 2022-2030

10.1.1. Machine Learning

10.1.1.1. Market Revenue and Forecast (2017-2030)

10.1.2. Natural Language Processing

10.1.2.1. Market Revenue and Forecast (2017-2030)

10.1.3. Context-aware Computing

10.1.3.1. Market Revenue and Forecast (2017-2030)

10.1.4. Computer Vision

10.1.4.1. Market Revenue and Forecast (2017-2030)

Chapter 11. Global Artificial Intelligence (AI) in Healthcare Market, By End User Type 

11.1. Artificial Intelligence (AI) in Healthcare Market, by End User Type, 2022-2030

11.1.1. Hospital & Healthcare Providers

11.1.1.1. Market Revenue and Forecast (2017-2030)

11.1.2. Patients

11.1.2.1. Market Revenue and Forecast (2017-2030)

11.1.3. Pharmaceuticals & Biotechnology Companies

11.1.3.1. Market Revenue and Forecast (2017-2030)

11.1.4. Healthcare Payers

Chapter 12. Global Artificial Intelligence (AI) in Healthcare Market, Regional Estimates and Trend Forecast

12.1. North America

12.1.1. Market Revenue and Forecast, by Component (2017-2030)

12.1.2. Market Revenue and Forecast, by Application (2017-2030)

12.1.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.1.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.1.5. U.S.

12.1.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.1.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.1.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.1.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.1.6. Rest of North America

12.1.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.1.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.1.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.1.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2. Europe

12.2.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2.5. UK

12.2.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2.6. Germany

12.2.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2.7. France

12.2.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.7.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.7.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.7.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.2.8. Rest of Europe

12.2.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.2.8.2. Market Revenue and Forecast, by Application (2017-2030)

12.2.8.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.2.8.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3. APAC

12.3.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3.5. India

12.3.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3.6. China

12.3.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3.7. Japan

12.3.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.7.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.7.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.7.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.3.8. Rest of APAC

12.3.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.3.8.2. Market Revenue and Forecast, by Application (2017-2030)

12.3.8.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.3.8.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4. MEA

12.4.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4.5. GCC

12.4.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4.6. North Africa

12.4.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4.7. South Africa

12.4.7.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.7.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.7.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.7.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.4.8. Rest of MEA

12.4.8.1. Market Revenue and Forecast, by Component (2017-2030)

12.4.8.2. Market Revenue and Forecast, by Application (2017-2030)

12.4.8.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.4.8.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.5. Latin America

12.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.5.5. Brazil

12.5.5.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.5.2. Market Revenue and Forecast, by Application (2017-2030)

12.5.5.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.5.5.4. Market Revenue and Forecast, by End User Type (2017-2030)

12.5.6. Rest of LATAM

12.5.6.1. Market Revenue and Forecast, by Component (2017-2030)

12.5.6.2. Market Revenue and Forecast, by Application (2017-2030)

12.5.6.3. Market Revenue and Forecast, by Technology Type (2017-2030)

12.5.6.4. Market Revenue and Forecast, by End User Type (2017-2030)

Chapter 13. Company Profiles

13.1. Intel

13.1.1. Company Overview

13.1.2. Product Offerings

13.1.3. Financial Performance

13.1.4. Recent Initiatives

13.2. Koninklijke Philips

13.2.1. Company Overview

13.2.2. Product Offerings

13.2.3. Financial Performance

13.2.4. Recent Initiatives

13.3. Microsoft

13.3.1. Company Overview

13.3.2. Product Offerings

13.3.3. Financial Performance

13.3.4. Recent Initiatives

13.4. IBM

13.4.1. Company Overview

13.4.2. Product Offerings

13.4.3. Financial Performance

13.4.4. Recent Initiatives

13.5. Siemens Healthineers

13.5.1. Company Overview

13.5.2. Product Offerings

13.5.3. Financial Performance

13.5.4. Recent Initiatives

13.6. Nvidia

13.6.1. Company Overview

13.6.2. Product Offerings

13.6.3. Financial Performance

13.6.4. Recent Initiatives

13.7. Google

13.7.1. Company Overview

13.7.2. Product Offerings

13.7.3. Financial Performance

13.7.4. Recent Initiatives

13.8. General Electric Company

13.8.1. Company Overview

13.8.2. Product Offerings

13.8.3. Financial Performance

13.8.4. Recent Initiatives

13.9. Medtronic

13.9.1. Company Overview

13.9.2. Product Offerings

13.9.3. Financial Performance

13.9.4. Recent Initiatives

13.10. Micron Technology

13.10.1. Company Overview

13.10.2. Product Offerings

13.10.3. Financial Performance

13.10.4. Recent Initiatives

13.11. Amazon Web Services

13.11.1. Company Overview

13.11.2. Product Offerings

13.11.3. Financial Performance

13.11.4. Recent Initiatives

Chapter 14. Research Methodology

14.1. Primary Research

14.2. Secondary Research

14.3. Assumptions

Chapter 15. Appendix

15.1. About Us

15.2. Glossary of Terms

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