Global Artificial Intelligence in Medicine Market Research Report, Competitive, Technology and Forecast Analysis 2025-2032
Description
Market Overview
According to DIResearch＇s in-depth investigation and research, the global Artificial Intelligence in Medicine market size will reach 40,691 Million USD in 2025 and is projected to reach 394,381 Million USD by 2032, with a CAGR of 38.33% (2025-2032). Notably, the China Artificial Intelligence in Medicine market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Artificial intelligence in medicine refers to the use of advanced computing techniques and algorithms to analyze complex medical data and support the diagnosis, treatment, and prevention of various diseases. AI technologies such as machine learning, natural language processing, and computer vision are used to interpret medical images, extract relevant information from electronic health records (EHRs), and develop predictive models that facilitate more precise and personalized patient care. AI applications in medicine include clinical decision support systems, drug discovery and development, precision medicine, and robot-assisted surgery, among others. By leveraging big data and automation, AI has the potential to revolutionize healthcare by improving clinical outcomes, reducing costs, and enhancing medical professionals＇ productivity.
The major global suppliers of Artificial Intelligence in Medicine include NVIDIA, Intel, IBM, Google Health, Microsoft, AWS, GE Healthcare, Siemens Healthineers, Medtronic, Atomwise, Zebra Medical Vision, Cyrcadia Health, AiCure, Alibaba, BPGbio, Medasense Biometrics, Hindsait, Dell, SAP, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Artificial Intelligence in Medicine. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence in Medicine market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Artificial Intelligence in Medicine market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence in Medicine industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Artificial Intelligence in Medicine Include:
NVIDIA
Intel
IBM
Google Health
Microsoft
AWS
GE Healthcare
Siemens Healthineers
Medtronic
Atomwise
Zebra Medical Vision
Cyrcadia Health
AiCure
Alibaba
BPGbio
Medasense Biometrics
Hindsait
Dell
SAP
Artificial Intelligence in Medicine Product Segment Include:
Hardware
Software
Services
Artificial Intelligence in Medicine Product Application Include:
Auxiliary Diagnosis
Drug Discovery
Health Management
Hospital Management
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Artificial Intelligence in Medicine Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence in Medicine Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence in Medicine Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Artificial Intelligence in Medicine Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Artificial Intelligence in Medicine Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Artificial Intelligence in Medicine Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
According to DIResearch＇s in-depth investigation and research, the global Artificial Intelligence in Medicine market size will reach 40,691 Million USD in 2025 and is projected to reach 394,381 Million USD by 2032, with a CAGR of 38.33% (2025-2032). Notably, the China Artificial Intelligence in Medicine market has changed rapidly in the past few years. By 2025, China＇s market size is expected to be Million USD, representing approximately % of the global market share.
Research Summary
Artificial intelligence in medicine refers to the use of advanced computing techniques and algorithms to analyze complex medical data and support the diagnosis, treatment, and prevention of various diseases. AI technologies such as machine learning, natural language processing, and computer vision are used to interpret medical images, extract relevant information from electronic health records (EHRs), and develop predictive models that facilitate more precise and personalized patient care. AI applications in medicine include clinical decision support systems, drug discovery and development, precision medicine, and robot-assisted surgery, among others. By leveraging big data and automation, AI has the potential to revolutionize healthcare by improving clinical outcomes, reducing costs, and enhancing medical professionals＇ productivity.
The major global suppliers of Artificial Intelligence in Medicine include NVIDIA, Intel, IBM, Google Health, Microsoft, AWS, GE Healthcare, Siemens Healthineers, Medtronic, Atomwise, Zebra Medical Vision, Cyrcadia Health, AiCure, Alibaba, BPGbio, Medasense Biometrics, Hindsait, Dell, SAP, etc. The global players competition landscape in this report is divided into three tiers. The first tier comprises global leading enterprises that command a substantial market share, hold a dominant industry position, possess strong competitiveness and influence, and generate significant revenue. The second tier includes companies with a notable market presence and reputation; these firms actively follow industry leaders in product, service, or technological innovation and maintain a moderate revenue scale. The third tier consists of smaller companies with limited market share and lower brand recognition, primarily focused on local markets and generating comparatively lower revenue.
This report studies the market size, price trends and future development prospects of Artificial Intelligence in Medicine. Focus on analysing the market share, product portfolio, prices, sales, revenue and gross profit margin of global major suppliers, as well as the market status and trends of different product types and applications in the global Artificial Intelligence in Medicine market. The report data covers historical data from 2020 to 2024, based year in 2025 and forecast data from 2026 to 2032.
The regions and countries in the report include US, Germany, Japan, China, France, UK, South Korea, Canada, Italy, Russia, Mexico, Brazil, India, Vietnam, Thailand, South Africa and other regions, covering the Artificial Intelligence in Medicine market conditions and future development trends of key regions and countries, combined with industry-related policies and the latest technological developments, analyze the development characteristics of Artificial Intelligence in Medicine industries in various regions and countries, help companies understand the development characteristics of each region, help companies formulate business strategies, and achieve the ultimate goal of the company's global development strategy.
The data sources of this report mainly include the National Bureau of Statistics, customs databases, industry associations, corporate financial reports, third-party databases, etc. Among them, macroeconomic data mainly comes from the National Bureau of Statistics, International Economic Research Organization; industry statistical data mainly come from industry associations; company data mainly comes from interviews, public information collection, third-party reliable databases, and price data mainly comes from various markets monitoring database.
Global Key Suppliers of Artificial Intelligence in Medicine Include:
NVIDIA
Intel
IBM
Google Health
Microsoft
AWS
GE Healthcare
Siemens Healthineers
Medtronic
Atomwise
Zebra Medical Vision
Cyrcadia Health
AiCure
Alibaba
BPGbio
Medasense Biometrics
Hindsait
Dell
SAP
Artificial Intelligence in Medicine Product Segment Include:
Hardware
Software
Services
Artificial Intelligence in Medicine Product Application Include:
Auxiliary Diagnosis
Drug Discovery
Health Management
Hospital Management
Others
Chapter Scope
Chapter 1: Product Research Range, Product Types and Applications, Market Overview, Market Situation and Trend
Chapter 2: Global Artificial Intelligence in Medicine Industry PESTEL Analysis
Chapter 3: Global Artificial Intelligence in Medicine Industry Porter's Five Forces Analysis
Chapter 4: Global Artificial Intelligence in Medicine Major Regional Market Size (Revenue) and Forecast Analysis
Chapter 5: Global Artificial Intelligence in Medicine Competitive Analysis of Key Suppliers (Revenue, Market Share, Regional Distribution and Industry Concentration)
Chapter 6: Global Artificial Intelligence in Medicine Revenue and Forecast Analysis by Product Type
Chapter 7: Key Company Profiles (Product Portfolio, Revenue and Gross Margin)
Chapter 8: Industrial Chain Analysis, Artificial Intelligence in Medicine Different Application Market Analysis (Revenue and Forecast) and Sales Channel Analysis
Chapter 9: Research Findings and Conclusion
Chapter 10: Methodology and Data Sources
Table of Contents
165 Pages
- 1 Artificial Intelligence in Medicine Market Overview
- 1.1 Product Definition and Statistical Scope
- 1.2 Artificial Intelligence in Medicine Product by Type
- 1.2.1 Hardware
- 1.2.2 Software
- 1.2.3 Services
- 1.3 Artificial Intelligence in Medicine Product by Application
- 1.3.1 Auxiliary Diagnosis
- 1.3.2 Drug Discovery
- 1.3.3 Health Management
- 1.3.4 Hospital Management
- 1.3.5 Others
- 1.4 Global Artificial Intelligence in Medicine Market Size Analysis (2020-2032)
- 1.5 Artificial Intelligence in Medicine Market Development Status and Trends
- 1.5.1 Artificial Intelligence in Medicine Industry Development Status Analysis
- 1.5.2 Artificial Intelligence in Medicine Industry Development Trends Analysis
- 2 Artificial Intelligence in Medicine Market PESTEL Analysis
- 2.1 Political Factors Analysis
- 2.2 Economic Factors Analysis
- 2.3 Social Factors Analysis
- 2.4 Technological Factors Analysis
- 2.5 Environmental Factors Analysis
- 2.6 Legal Factors Analysis
- 3 Artificial Intelligence in Medicine Market Porter's Five Forces Analysis
- 3.1 Competitive Rivalry
- 3.2 Threat of New Entrants
- 3.3 Bargaining Power of Suppliers
- 3.4 Bargaining Power of Buyers
- 3.5 Threat of Substitutes
- 4 Global Artificial Intelligence in Medicine Market Analysis by Country
- 4.1 Global Artificial Intelligence in Medicine Market Size Analysis by Country: 2024 VS 2025 VS 2032
- 4.1.1 Global Artificial Intelligence in Medicine Revenue Analysis by Country (2020-2025)
- 4.1.2 Global Artificial Intelligence in Medicine Revenue Forecast Analysis by Country (2026-2032)
- 4.2 United States Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.3 Germany Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.4 Japan Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.5 China Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.6 France Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.7 U.K. Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.8 South Korea Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.9 Canada Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.10 Italy Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.11 Russia Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.12 Mexico Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.13 Brazil Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.14 India Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.15 Vietnam Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.16 Thailand Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 4.17 South Africa Artificial Intelligence in Medicine Market Revenue and Growth Rate (2020-2032)
- 5 Competition by Suppliers
- 5.1 Global Artificial Intelligence in Medicine Market Revenue by Key Suppliers (2021-2025)
- 5.2 Artificial Intelligence in Medicine Competitive Landscape Analysis and Market Dynamic
- 5.2.1 Artificial Intelligence in Medicine Competitive Landscape Analysis
- 5.2.2 Global Key Suppliers Headquarter and Key Area Sales
- 5.2.3 Market Dynamic
- 6 Artificial Intelligence in Medicine Market Analysis by Type
- 6.1 Global Artificial Intelligence in Medicine Market Size Analysis by Type: 2024 VS 2025 VS 2032
- 6.2 Global Artificial Intelligence in Medicine Revenue and Forecast Analysis by Type (2020-2032)
- 7 Key Companies Analysis
- 7.1 NVIDIA
- 7.1.1 NVIDIA Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.1.2 NVIDIA Artificial Intelligence in Medicine Product Portfolio
- 7.1.3 NVIDIA Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.2 Intel
- 7.2.1 Intel Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.2.2 Intel Artificial Intelligence in Medicine Product Portfolio
- 7.2.3 Intel Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.3 IBM
- 7.3.1 IBM Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.3.2 IBM Artificial Intelligence in Medicine Product Portfolio
- 7.3.3 IBM Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.4 Google Health
- 7.4.1 Google Health Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.4.2 Google Health Artificial Intelligence in Medicine Product Portfolio
- 7.4.3 Google Health Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.5 Microsoft
- 7.5.1 Microsoft Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.5.2 Microsoft Artificial Intelligence in Medicine Product Portfolio
- 7.5.3 Microsoft Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.6 AWS
- 7.6.1 AWS Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.6.2 AWS Artificial Intelligence in Medicine Product Portfolio
- 7.6.3 AWS Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.7 GE Healthcare
- 7.7.1 GE Healthcare Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.7.2 GE Healthcare Artificial Intelligence in Medicine Product Portfolio
- 7.7.3 GE Healthcare Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.8 Siemens Healthineers
- 7.8.1 Siemens Healthineers Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.8.2 Siemens Healthineers Artificial Intelligence in Medicine Product Portfolio
- 7.8.3 Siemens Healthineers Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.9 Medtronic
- 7.9.1 Medtronic Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.9.2 Medtronic Artificial Intelligence in Medicine Product Portfolio
- 7.9.3 Medtronic Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.10 Atomwise
- 7.10.1 Atomwise Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.10.2 Atomwise Artificial Intelligence in Medicine Product Portfolio
- 7.10.3 Atomwise Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.11 Zebra Medical Vision
- 7.11.1 Zebra Medical Vision Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.11.2 Zebra Medical Vision Artificial Intelligence in Medicine Product Portfolio
- 7.11.3 Zebra Medical Vision Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.12 Cyrcadia Health
- 7.12.1 Cyrcadia Health Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.12.2 Cyrcadia Health Artificial Intelligence in Medicine Product Portfolio
- 7.12.3 Cyrcadia Health Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.13 AiCure
- 7.13.1 AiCure Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.13.2 AiCure Artificial Intelligence in Medicine Product Portfolio
- 7.13.3 AiCure Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.14 Alibaba
- 7.14.1 Alibaba Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.14.2 Alibaba Artificial Intelligence in Medicine Product Portfolio
- 7.14.3 Alibaba Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.15 BPGbio
- 7.15.1 BPGbio Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.15.2 BPGbio Artificial Intelligence in Medicine Product Portfolio
- 7.15.3 BPGbio Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.16 Medasense Biometrics
- 7.16.1 Medasense Biometrics Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.16.2 Medasense Biometrics Artificial Intelligence in Medicine Product Portfolio
- 7.16.3 Medasense Biometrics Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.17 Hindsait
- 7.17.1 Hindsait Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.17.2 Hindsait Artificial Intelligence in Medicine Product Portfolio
- 7.17.3 Hindsait Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.18 Dell
- 7.18.1 Dell Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.18.2 Dell Artificial Intelligence in Medicine Product Portfolio
- 7.18.3 Dell Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 7.19 SAP
- 7.19.1 SAP Basic Company Profile (Employees, Areas Service, Competitors and Contact Information)
- 7.19.2 SAP Artificial Intelligence in Medicine Product Portfolio
- 7.19.3 SAP Artificial Intelligence in Medicine Market Data Analysis (Revenue, Gross Margin and Market Share) (2021-2025)
- 8 Industry Chain Analysis
- 8.1 Artificial Intelligence in Medicine Industry Chain Analysis
- 8.2 Artificial Intelligence in Medicine Product Downstream Application Analysis
- 8.2.1 Global Artificial Intelligence in Medicine Market Size and Growth Rate (CAGR) by Application: 2024 VS 2025 VS 2032
- 8.2.2 Global Artificial Intelligence in Medicine Revenue and Forecast by Application (2020-2032)
- 8.3 Artificial Intelligence in Medicine Typical Downstream Customers
- 8.4 Artificial Intelligence in Medicine Sales Channel Analysis
- 9 Research Findings and Conclusion
- 10 Methodology and Data Source
- 10.1 Methodology/Research Approach
- 10.2 Research Scope
- 10.3 Benchmarks and Assumptions
- 10.4 Date Source
- 10.4.1 Primary Sources
- 10.4.2 Secondary Sources
- 10.5 Data Cross Validation
- 10.6 Disclaimer
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