Global Artificial Intelligence in Medicine Market Overview:
Global Artificial Intelligence in Medicine Market Is Expected to Grow at A Significant Growth Rate, And the Forecast Period Is 2025-2032, Considering the Base Year As 2024.
Global Artificial Intelligence in Medicine Market Report 2025 comes with the extensive industry analysis by Introspective Market Research with development components, patterns, flows and sizes. The report also calculates present and past market values to forecast potential market management through the forecast period between 2025-2032.This research study of Artificial Intelligence in Medicine involved the extensive usage of both primary and secondary data sources. This includes the study of various parameters affecting the industry, including the government policy, market environment, competitive landscape, historical data, present trends in the market, technological innovation, upcoming technologies and the technical progress in related industry.
Scope of the Artificial Intelligence in Medicine Market:
The Artificial Intelligence in Medicine Market Research report incorporates value chain analysis for each of the product type. Value chain analysis offers in-depth information about value addition at each stage.The study includes drivers and restraints for Artificial Intelligence in Medicine Market along with their impact on demand during the forecast period. The study also provides key market indicators affecting thegrowth of the market. Research report includes major key player analysis with shares of each player inside market, growth rate and market attractiveness in different endusers/regions. Our study Artificial Intelligence in Medicine Market helps user to make precise decision in order to expand their market presence and increase market share.
By Type, Artificial Intelligence in Medicine market has been segmented into:
Medical Imaging
Drug Discovery
Personalized Medicine
Virtual Health Assistants
Robotic Surgery
By Application, Artificial Intelligence in Medicine market has been segmented into:
Machine Learning
Natural Language Processing
Computer Vision
Deep Learning
Expert Systems
Regional Analysis:
North America (U.S., Canada, Mexico)
Europe (Germany, U.K., France, Italy, Russia, Spain, Rest of Europe)
Asia-Pacific (China, India, Japan, Singapore, Australia, New Zealand, Rest of APAC)
South America (Brazil, Argentina, Rest of SA)
Middle East & Africa (Turkey, Saudi Arabia, Iran, UAE, Africa, Rest of MEA)
Competitive Landscape:
Competitive analysis is the study of strength and weakness, market investment, market share, market sales volume, market trends of major players in the market.The Artificial Intelligence in Medicine market study focused on including all the primary level, secondary level and tertiary level competitors in the report. The data generated by conducting the primary and secondary research.The report covers detail analysis of driver, constraints and scope for new players entering the Artificial Intelligence in Medicine market.
Top Key Players Covered in Artificial Intelligence in Medicine market are:
Google
GE Healthcare
IBM
BristolMyers Squibb
AWS
Cerner
Oracle
Zebra Medical Vision
Aidoc
Microsoft
Philips
Siemens Healthineers
Epic Systems
NVIDIA
Medtronic
Chapter 1: Introduction
1.1 Scope and Coverage
Chapter 2:Executive Summary
Chapter 3: Market Landscape
3.1 Industry Dynamics and Opportunity Analysis
3.1.1 Growth Drivers
3.1.2 Limiting Factors
3.1.3 Growth Opportunities
3.1.4 Challenges and Risks
3.2 Market Trend Analysis
3.3 Strategic Pestle Overview
3.4 Porter's Five Forces Analysis
3.5 Industry Value Chain Mapping
3.6 Regulatory Framework
3.7 Princing Trend Analysis
3.8 Patent Analysis
3.9 Technology Evolution
3.10 Investment Pockets
3.11 Import-Export Analysis
Chapter 4: Artificial Intelligence in Medicine Market Type
4.1 Artificial Intelligence in Medicine Market Snapshot and Growth Engine
4.2 Artificial Intelligence in Medicine Market Overview
4.3 Medical Imaging
4.3.1 Introduction and Market Overview
4.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.3.3 Medical Imaging: Geographic Segmentation Analysis
4.4 Drug Discovery
4.4.1 Introduction and Market Overview
4.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.4.3 Drug Discovery: Geographic Segmentation Analysis
4.5 Personalized Medicine
4.5.1 Introduction and Market Overview
4.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.5.3 Personalized Medicine: Geographic Segmentation Analysis
4.6 Virtual Health Assistants
4.6.1 Introduction and Market Overview
4.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.6.3 Virtual Health Assistants: Geographic Segmentation Analysis
4.7 Robotic Surgery
4.7.1 Introduction and Market Overview
4.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
4.7.3 Robotic Surgery: Geographic Segmentation Analysis
Chapter 5: Artificial Intelligence in Medicine Market Application
5.1 Artificial Intelligence in Medicine Market Snapshot and Growth Engine
5.2 Artificial Intelligence in Medicine Market Overview
5.3 Machine Learning
5.3.1 Introduction and Market Overview
5.3.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.3.3 Machine Learning: Geographic Segmentation Analysis
5.4 Natural Language Processing
5.4.1 Introduction and Market Overview
5.4.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.4.3 Natural Language Processing: Geographic Segmentation Analysis
5.5 Computer Vision
5.5.1 Introduction and Market Overview
5.5.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.5.3 Computer Vision: Geographic Segmentation Analysis
5.6 Deep Learning
5.6.1 Introduction and Market Overview
5.6.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.6.3 Deep Learning: Geographic Segmentation Analysis
5.7 Expert Systems
5.7.1 Introduction and Market Overview
5.7.2 Historic and Forecasted Market Size in Value USD and Volume Units (2017-2032F)
5.7.3 Expert Systems: Geographic Segmentation Analysis
Chapter 6: Company Profiles and Competitive Analysis
6.1 Competitive Landscape
6.1.1 Competitive Benchmarking
6.1.2 Artificial Intelligence in Medicine Market Share by Manufacturer (2023)
6.1.3 Concentration Ratio(CR5)
6.1.4 Heat Map Analysis
6.1.5 Mergers and Acquisitions
6.2 GOOGLE
6.2.1 Company Overview
6.2.2 Key Executives
6.2.3 Company Snapshot
6.2.4 Operating Business Segments
6.2.5 Product Portfolio
6.2.6 Business Performance
6.2.7 Key Strategic Moves and Recent Developments
6.3 GE HEALTHCARE
6.4 IBM
6.5 BRISTOLMYERS SQUIBB
6.6 AWS
6.7 CERNER
6.8 ORACLE
6.9 ZEBRA MEDICAL VISION
6.10 AIDOC
6.11 MICROSOFT
6.12 PHILIPS
6.13 SIEMENS HEALTHINEERS
6.14 EPIC SYSTEMS
6.15 NVIDIA
6.16 MEDTRONIC
Chapter 7: Global Artificial Intelligence in Medicine Market By Region
7.1 Overview
7.2. North America Artificial Intelligence in Medicine Market
7.2.1 Historic and Forecasted Market Size by Segments
7.2.2 Historic and Forecasted Market Size By Type
7.2.2.1 Medical Imaging
7.2.2.2 Drug Discovery
7.2.2.3 Personalized Medicine
7.2.2.4 Virtual Health Assistants
7.2.2.5 Robotic Surgery
7.2.3 Historic and Forecasted Market Size By Application
7.2.3.1 Machine Learning
7.2.3.2 Natural Language Processing
7.2.3.3 Computer Vision
7.2.3.4 Deep Learning
7.2.3.5 Expert Systems
7.2.4 Historic and Forecast Market Size by Country
7.2.4.1 US
7.2.4.2 Canada
7.2.4.3 Mexico
7.3. Eastern Europe Artificial Intelligence in Medicine Market
7.3.1 Historic and Forecasted Market Size by Segments
7.3.2 Historic and Forecasted Market Size By Type
7.3.2.1 Medical Imaging
7.3.2.2 Drug Discovery
7.3.2.3 Personalized Medicine
7.3.2.4 Virtual Health Assistants
7.3.2.5 Robotic Surgery
7.3.3 Historic and Forecasted Market Size By Application
7.3.3.1 Machine Learning
7.3.3.2 Natural Language Processing
7.3.3.3 Computer Vision
7.3.3.4 Deep Learning
7.3.3.5 Expert Systems
7.3.4 Historic and Forecast Market Size by Country
7.3.4.1 Russia
7.3.4.2 Bulgaria
7.3.4.3 The Czech Republic
7.3.4.4 Hungary
7.3.4.5 Poland
7.3.4.6 Romania
7.3.4.7 Rest of Eastern Europe
7.4. Western Europe Artificial Intelligence in Medicine Market
7.4.1 Historic and Forecasted Market Size by Segments
7.4.2 Historic and Forecasted Market Size By Type
7.4.2.1 Medical Imaging
7.4.2.2 Drug Discovery
7.4.2.3 Personalized Medicine
7.4.2.4 Virtual Health Assistants
7.4.2.5 Robotic Surgery
7.4.3 Historic and Forecasted Market Size By Application
7.4.3.1 Machine Learning
7.4.3.2 Natural Language Processing
7.4.3.3 Computer Vision
7.4.3.4 Deep Learning
7.4.3.5 Expert Systems
7.4.4 Historic and Forecast Market Size by Country
7.4.4.1 Germany
7.4.4.2 UK
7.4.4.3 France
7.4.4.4 The Netherlands
7.4.4.5 Italy
7.4.4.6 Spain
7.4.4.7 Rest of Western Europe
7.5. Asia Pacific Artificial Intelligence in Medicine Market
7.5.1 Historic and Forecasted Market Size by Segments
7.5.2 Historic and Forecasted Market Size By Type
7.5.2.1 Medical Imaging
7.5.2.2 Drug Discovery
7.5.2.3 Personalized Medicine
7.5.2.4 Virtual Health Assistants
7.5.2.5 Robotic Surgery
7.5.3 Historic and Forecasted Market Size By Application
7.5.3.1 Machine Learning
7.5.3.2 Natural Language Processing
7.5.3.3 Computer Vision
7.5.3.4 Deep Learning
7.5.3.5 Expert Systems
7.5.4 Historic and Forecast Market Size by Country
7.5.4.1 China
7.5.4.2 India
7.5.4.3 Japan
7.5.4.4 South Korea
7.5.4.5 Malaysia
7.5.4.6 Thailand
7.5.4.7 Vietnam
7.5.4.8 The Philippines
7.5.4.9 Australia
7.5.4.10 New Zealand
7.5.4.11 Rest of APAC
7.6. Middle East & Africa Artificial Intelligence in Medicine Market
7.6.1 Historic and Forecasted Market Size by Segments
7.6.2 Historic and Forecasted Market Size By Type
7.6.2.1 Medical Imaging
7.6.2.2 Drug Discovery
7.6.2.3 Personalized Medicine
7.6.2.4 Virtual Health Assistants
7.6.2.5 Robotic Surgery
7.6.3 Historic and Forecasted Market Size By Application
7.6.3.1 Machine Learning
7.6.3.2 Natural Language Processing
7.6.3.3 Computer Vision
7.6.3.4 Deep Learning
7.6.3.5 Expert Systems
7.6.4 Historic and Forecast Market Size by Country
7.6.4.1 Turkiye
7.6.4.2 Bahrain
7.6.4.3 Kuwait
7.6.4.4 Saudi Arabia
7.6.4.5 Qatar
7.6.4.6 UAE
7.6.4.7 Israel
7.6.4.8 South Africa
7.7. South America Artificial Intelligence in Medicine Market
7.7.1 Historic and Forecasted Market Size by Segments
7.7.2 Historic and Forecasted Market Size By Type
7.7.2.1 Medical Imaging
7.7.2.2 Drug Discovery
7.7.2.3 Personalized Medicine
7.7.2.4 Virtual Health Assistants
7.7.2.5 Robotic Surgery
7.7.3 Historic and Forecasted Market Size By Application
7.7.3.1 Machine Learning
7.7.3.2 Natural Language Processing
7.7.3.3 Computer Vision
7.7.3.4 Deep Learning
7.7.3.5 Expert Systems
7.7.4 Historic and Forecast Market Size by Country
7.7.4.1 Brazil
7.7.4.2 Argentina
7.7.4.3 Rest of SA
Chapter 8 Analyst Viewpoint and Conclusion
8.1 Recommendations and Concluding Analysis
8.2 Potential Market Strategies
Chapter 9 Research Methodology
9.1 Research Process
9.2 Primary Research
9.3 Secondary Research
Artificial Intelligence in Medicine Scope:
|
Report Data
|
Artificial Intelligence in Medicine Market
|
|
Artificial Intelligence in Medicine Market Size in 2025
|
USD XX million
|
|
Artificial Intelligence in Medicine CAGR 2025 - 2032
|
XX%
|
|
Artificial Intelligence in Medicine Base Year
|
2024
|
|
Artificial Intelligence in Medicine Forecast Data
|
2025 - 2032
|
|
Segments Covered
|
By Type, By Application, And by Regions
|
|
Regional Scope
|
North America, Europe, Asia Pacific, Latin America, and Middle East & Africa
|
|
Key Companies Profiled
|
Google, GE Healthcare, IBM, BristolMyers Squibb, AWS, Cerner, Oracle, Zebra Medical Vision, Aidoc, Microsoft, Philips, Siemens Healthineers, Epic Systems, NVIDIA, Medtronic.
|
|
Key Segments
|
By Type
Medical Imaging
Drug Discovery
Personalized Medicine
Virtual Health Assistants
Robotic Surgery
By Applications
Machine Learning
Natural Language Processing
Computer Vision
Deep Learning
Expert Systems
|
