Artificial Intelligence (AI) in Medical Market to Hit US$ 524.55 Billion by 2031 | Growing at a CAGR of 27.7%

Los Angeles, United States - QY Research has unveiled its latest study titled "Global Artificial Intelligence (AI) in Medical Market Share and Ranking, Overall Sales and Demand Forecast 2025-2031." This newly released report delivers a comprehensive overview of the global Artificial Intelligence (AI) in Medical market, analyzing the forces shaping its growth trajectory and providing valuable insights for stakeholders, investors, and industry professionals. the research covers key areas including market dynamics, segmentation, regional performance, competitive landscape, and emerging technology trends that are redefining industry standards. Backed by reliable data and expert analysis, the report serves as a trusted guide to understanding both microeconomic and macroeconomic factors driving market evolution.

The global market for Artificial Intelligence (AI) in Medical was estimated to be worth US$ 100.37 billion in 2024 and is forecast to a readjusted size of US$ 524.55 billion by 2031 with a CAGR of 27.7% during the forecast period 2025-2031.

Download Free Sample PDF Report (with full TOC, tables, and charts) To Explore Detailed Insights and Forecasts @ https://qyresearch.in/request-sample/service-software-artificial-intelligence-ai-in-medical-global-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031

The research report also includes the global Artificial Intelligence (AI) in Medical market figures that provide historical data as well as estimated figures. It gives a clear picture of the growth rate of the market during the forecast period. The Artificial Intelligence (AI) in Medical report aims to give the readers quantifiable data that is collected from verified data. The report attempts to answer all the difficult questions such as market sizes and company strategies.

Artificial Intelligence (AI) in the medical field refers to the use of machine learning, deep learning, natural language processing (NLP), and other technologies to assist healthcare professionals and institutions in improving diagnostic, treatment, and management efficiencies. AI encompasses a wide range of applications, such as medical data analysis, pathology diagnosis, image processing, patient monitoring, and personalized treatment. By analyzing large amounts of medical data, AI helps identify potential disease signs and provides fast, accurate diagnostic results, thereby improving treatment outcomes, reducing medical errors, and lowering operational costs.

Competitive Landscape: -

IBM Watson Health
Siemens Healthineers
GE Healthcare
Aidoc
Zebra Medical Vision
PathAI
Google Health
Butterfly Network
Tempus
Arterys
Abbott Laboratories
Philips Healthcare
Medtronic
Canon Medical Systems
Johnson & Johnson
Nuance Communications
Veeva Systems
Babylon Health
AliveCor
Health Catalyst
Atomwise
Insilico Medicine
BenevolentAI
Cerner
Allscripts
Ada Health
Buoy Health

The scope of AI products in the medical field is extensive and can be classified into the following key categories:

1. Medical Image Analysis: AI in medical imaging is primarily used to analyze X-rays, CT scans, MRI scans, etc., to assist doctors in identifying diseases such as tumors, fractures, and heart conditions. Using deep learning algorithms, AI can analyze images faster and more accurately than traditional methods, providing diagnostic support.

2. Disease Prediction and Early Diagnosis: AI can analyze patient history data to predict the potential risk of diseases. For example, AI can identify early signs of major diseases like cancer by analyzing genomic data.

3. Personalized Treatment Plans: AI analyzes a patient's genetic data, medical history, lifestyle, etc., to create personalized treatment plans, which is especially important in cancer treatment and chronic disease management.

4. Robot-Assisted Surgery: AI-assisted surgical robots enhance the precision of surgeries, reduce risks for doctors, and shorten patients' recovery times.

5. Smart Health Monitoring: AI, combined with wearable devices, can monitor a patient's vital signs, such as heart rate, blood pressure, and blood glucose levels in real-time, providing remote diagnostic support to doctors.

6. Natural Language Processing (NLP) and Electronic Health Records (EHR): AI uses NLP to extract key information from electronic health records, enabling more efficient decision-making for healthcare providers.

The market for Artificial Intelligence (AI) in healthcare is rapidly expanding, driven by several key factors:

1. Opportunities and Key Drivers:

Technological Advancements: Breakthroughs in deep learning, natural language processing, and big data analytics have made AI applications in healthcare more accurate and efficient. Improvements in hardware technology have enhanced AI's capabilities in areas like medical imaging and genomic data analysis.

Availability of Data: The digitization of electronic health records (EHR) and medical imaging data has provided vast amounts of data for training AI systems, enabling more widespread and precise applications of AI in healthcare.

Rising Healthcare Demands: The global aging population and the rise in chronic diseases are driving increasing demand for healthcare services. AI can address these demands by improving diagnostic efficiency and accuracy.

Government Support: Governments in various countries have introduced policies that encourage the application of AI in healthcare, offering funding and regulatory support to accelerate market growth.

2. Market Risks:

Data Privacy Issues: AI's reliance on large amounts of personal health data raises concerns over patient privacy and data security. Legal and regulatory delays could increase the risks of data breaches.

Technology Adoption Challenges: Despite AI's potential, widespread adoption is still hindered by high costs, particularly in developing countries, limiting the scalability of AI applications.

Ethical Concerns: AI decisions could be influenced by algorithmic biases, especially in diagnostic and pathological applications. Ensuring fairness and eliminating bias in AI decision-making is a critical ethical challenge.

3. Market Concentration:

The AI healthcare market is currently concentrated, with major players like IBM, Google, and Microsoft dominating the space, along with specialized AI companies such as Zebra Medical Vision and Aidoc. While there are emerging innovative companies, they face strong competitive pressures.

4. Downstream Demand Trends:

The demand for AI comes primarily from hospitals, clinics, and research institutions. As the need for accurate diagnostics and efficient treatments continues to grow, the range of AI applications is expanding. AI is especially in demand in early disease diagnosis and personalized treatment for conditions like cancer and heart disease.

5. Latest Technologies:

Multimodal Learning: Multimodal AI integrates multiple types of data (e.g., imaging, genomic data, medical history) to provide more comprehensive support for healthcare decision-making.

Augmented Reality (AR) and AI: In surgery, AR combined with AI can provide real-time image guidance, improving surgical precision.

AI-Assisted Drug Discovery: AI plays a significant role in drug development by predicting drug efficacy, screening candidate compounds, and accelerating the time-to-market for new drugs.

Regional Insights -

The report takes readers on a journey through four key regions: United States, Asia-Pacific, and EMEA. Key nations like the United States, Germany, the United Kingdom, China, Japan, South Korea, and more are thoroughly examined. The data is presented in a timeline from 2024 as the base year, with projections extending to 2031.

North America: United States, Canada, Mexico

Latin America: Brazil and other key markets

Asia Pacific: China, Japan, South Korea, India, ASEAN countries

Europe, Middle East & Africa (EMEA): Major European economies, GCC countries, and African nations

The report provides a region-wise breakdown of market share, consumption trends, and future prospects.

Detailed of Artificial Intelligence (AI) in Medical Market Segmentation -

The report offers great insights into important segments of the global Artificial Intelligence (AI) in Medical market while concentrating on their CAGR, market size, market share, and future growth potential. The global Artificial Intelligence (AI) in Medical market is mainly segmented according to type of product, application, and region. Each segment in these categories is extensively researched to become familiar with their growth prospects and key trends. Segmental analysis is highly important to identify key growth pockets of a global market. The report provides specific information on the market growth and demand of different products and applications to help players to focus on profitable areas of the global Artificial Intelligence (AI) in Medical market.

Segmentation By Type :-

Machine Learning Models
Natural Language Processing
Computer Vision
Robotics
Others

Segmentation By Application -

Medical Imaging & Diagnostics
Drug Discovery
Personalized Medicine
Healthcare Administration
Virtual Health Assistants

This segmentation helps identify high-growth opportunities and niche segments for investors and businesses.

Request for Pre-Order Enquiry On This Exclusive Report @ https://qyresearch.in/pre-order-inquiry/service-software-artificial-intelligence-ai-in-medical-global-market-share-and-ranking-overall-sales-and-demand-forecast-2025-2031

Why This Report is a Must-Have -

ᗒ Historical Analysis (2020-2024) & Forecasts (2025-2031): Gain a clear understanding of market trends and future growth potential.

ᗒ Comprehensive Market Segmentation: Detailed breakdown by Type, Application, and Region to identify lucrative opportunities.

ᗒ Competitive Landscape: Insights into key players, their market share, and strategic developments like mergers, acquisitions, and expansion plans.

ᗒ Drivers & Restraints: Understand the factors shaping the market's growth and the challenges that could impact your strategy.

ᗒ Expert Opinions & Market Dynamics: Benefit from expert analysis to navigate market risks and capitalize on emerging trends.

Artificial Intelligence (AI) in Medical Market Report Objectives -

(1) Analyzing the size of the global Artificial Intelligence (AI) in Medical market on the basis of value and volume

(2) Accurately calculating the market shares, consumption, and other vital factors of different segments of the global Artificial Intelligence (AI) in Medical market

(3) Exploring key dynamics of the global Artificial Intelligence (AI) in Medical market

(4) Highlighting important trends of the global Artificial Intelligence (AI) in Medical market in terms of production, revenue, and sales

(5) Deeply profiling top players of the global Artificial Intelligence (AI) in Medical market and showing how they compete in the industry

(6) Studying manufacturing processes and costs, product pricing, and various trends related to them

(7) Showing the performance of different regions and countries in the global Artificial Intelligence (AI) in Medical market

(8) Forecasting the market size and share of all segments, regions, and the global market.

Important Questions Answered included in the Report:-

(A) What is the market size and growth rate of the global and regional market by various segments?

(B) What is the market size and growth rate of the market for selective Countries?

(C) Which region or sub-segment is expected to drive the market in the forecast period?

(D) What factors are estimated to drive and restrain the market growth?

(E) What are the key technology and market trends shaping the market?

(F) what are the key opportunity in the market?

(G) Who are the leading manufacturers operating in the global Artificial Intelligence (AI) in Medical market?

(H) Which key player accounted for the highest market share?

(I) What are the growth opportunities for the new entrants in the global Artificial Intelligence (AI) in Medical market?

Table of Contents - Major Key Points:

1 Market Overview
1.1 Artificial Intelligence (AI) in Medical Product Introduction
1.2 Global Artificial Intelligence (AI) in Medical Market Size Forecast (2020-2031)
1.3 Artificial Intelligence (AI) in Medical Market Trends & Drivers
1.3.1 Artificial Intelligence (AI) in Medical Industry Trends
1.3.2 Artificial Intelligence (AI) in Medical Market Drivers & Opportunity
1.3.3 Artificial Intelligence (AI) in Medical Market Challenges
1.3.4 Artificial Intelligence (AI) in Medical Market Restraints
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Competitive Analysis by Company
2.1 Global Artificial Intelligence (AI) in Medical Players Revenue Ranking (2024)
2.2 Global Artificial Intelligence (AI) in Medical Revenue by Company (2020-2025)
2.3 Key Companies Artificial Intelligence (AI) in Medical Manufacturing Base Distribution and Headquarters
2.4 Key Companies Artificial Intelligence (AI) in Medical Product Offered
2.5 Key Companies Time to Begin Mass Production of Artificial Intelligence (AI) in Medical
2.6 Artificial Intelligence (AI) in Medical Market Competitive Analysis
2.6.1 Artificial Intelligence (AI) in Medical Market Concentration Rate (2020-2025)
2.6.2 Global 5 and 10 Largest Companies by Artificial Intelligence (AI) in Medical Revenue in 2024
2.6.3 Global Top Companies by Company Type (Tier 1, Tier 2, and Tier 3) & (based on the Revenue in Artificial Intelligence (AI) in Medical as of 2024)
2.7 Mergers & Acquisitions, Expansion
3 Segmentation by Type
3.1 Introduction by Type
3.1.1 Machine Learning Models
3.1.2 Natural Language Processing
3.1.3 Computer Vision
3.1.4 Robotics
3.1.5 Others
3.2 Global Artificial Intelligence (AI) in Medical Sales Value by Type
3.2.1 Global Artificial Intelligence (AI) in Medical Sales Value by Type (2020 VS 2024 VS 2031)
3.2.2 Global Artificial Intelligence (AI) in Medical Sales Value, by Type (2020-2031)
3.2.3 Global Artificial Intelligence (AI) in Medical Sales Value, by Type (%) (2020-2031)
4 Segmentation by Application
4.1 Introduction by Application
4.1.1 Medical Imaging & Diagnostics
4.1.2 Drug Discovery
4.1.3 Personalized Medicine
4.1.4 Healthcare Administration
4.1.5 Virtual Health Assistants
4.2 Global Artificial Intelligence (AI) in Medical Sales Value by Application
4.2.1 Global Artificial Intelligence (AI) in Medical Sales Value by Application (2020 VS 2024 VS 2031)
4.2.2 Global Artificial Intelligence (AI) in Medical Sales Value, by Application (2020-2031)
4.2.3 Global Artificial Intelligence (AI) in Medical Sales Value, by Application (%) (2020-2031)
5 Segmentation by Region
5.1 Global Artificial Intelligence (AI) in Medical Sales Value by Region
5.1.1 Global Artificial Intelligence (AI) in Medical Sales Value by Region: 2020 VS 2024 VS 2031
5.1.2 Global Artificial Intelligence (AI) in Medical Sales Value by Region (2020-2025)
5.1.3 Global Artificial Intelligence (AI) in Medical Sales Value by Region (2026-2031)
5.1.4 Global Artificial Intelligence (AI) in Medical Sales Value by Region (%), (2020-2031)
5.2 North America
5.2.1 North America Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
5.2.2 North America Artificial Intelligence (AI) in Medical Sales Value by Country (%), 2024 VS 2031
5.3 Europe
5.3.1 Europe Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
5.3.2 Europe Artificial Intelligence (AI) in Medical Sales Value by Country (%), 2024 VS 2031
5.4 Asia Pacific
5.4.1 Asia Pacific Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
5.4.2 Asia Pacific Artificial Intelligence (AI) in Medical Sales Value by Region (%), 2024 VS 2031
5.5 South America
5.5.1 South America Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
5.5.2 South America Artificial Intelligence (AI) in Medical Sales Value by Country (%), 2024 VS 2031
5.6 Middle East & Africa
5.6.1 Middle East & Africa Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
5.6.2 Middle East & Africa Artificial Intelligence (AI) in Medical Sales Value by Country (%), 2024 VS 2031
6 Segmentation by Key Countries/Regions
6.1 Key Countries/Regions Artificial Intelligence (AI) in Medical Sales Value Growth Trends, 2020 VS 2024 VS 2031
6.2 Key Countries/Regions Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
6.3 United States
6.3.1 United States Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
6.3.2 United States Artificial Intelligence (AI) in Medical Sales Value by Type (%), 2024 VS 2031
6.3.3 United States Artificial Intelligence (AI) in Medical Sales Value by Application, 2024 VS 2031
6.4 Europe
6.4.1 Europe Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
6.4.2 Europe Artificial Intelligence (AI) in Medical Sales Value by Type (%), 2024 VS 2031
6.4.3 Europe Artificial Intelligence (AI) in Medical Sales Value by Application, 2024 VS 2031
6.5 China
6.5.1 China Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
6.5.2 China Artificial Intelligence (AI) in Medical Sales Value by Type (%), 2024 VS 2031
6.5.3 China Artificial Intelligence (AI) in Medical Sales Value by Application, 2024 VS 2031
6.6 Japan
6.6.1 Japan Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
6.6.2 Japan Artificial Intelligence (AI) in Medical Sales Value by Type (%), 2024 VS 2031
6.6.3 Japan Artificial Intelligence (AI) in Medical Sales Value by Application, 2024 VS 2031
6.7 South Korea
6.7.1 South Korea Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
6.7.2 South Korea Artificial Intelligence (AI) in Medical Sales Value by Type (%), 2024 VS 2031
6.7.3 South Korea Artificial Intelligence (AI) in Medical Sales Value by Application, 2024 VS 2031
6.8 Southeast Asia
6.8.1 Southeast Asia Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
6.8.2 Southeast Asia Artificial Intelligence (AI) in Medical Sales Value by Type (%), 2024 VS 2031
6.8.3 Southeast Asia Artificial Intelligence (AI) in Medical Sales Value by Application, 2024 VS 2031
6.9 India
6.9.1 India Artificial Intelligence (AI) in Medical Sales Value, 2020-2031
6.9.2 India Artificial Intelligence (AI) in Medical Sales Value by Type (%), 2024 VS 2031
6.9.3 India Artificial Intelligence (AI) in Medical Sales Value by Application, 2024 VS 2031
7 Company Profiles
7.1 IBM Watson Health
7.1.1 IBM Watson Health Profile
7.1.2 IBM Watson Health Main Business
7.1.3 IBM Watson Health Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.1.4 IBM Watson Health Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.1.5 IBM Watson Health Recent Developments
7.2 Siemens Healthineers
7.2.1 Siemens Healthineers Profile
7.2.2 Siemens Healthineers Main Business
7.2.3 Siemens Healthineers Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.2.4 Siemens Healthineers Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.2.5 Siemens Healthineers Recent Developments
7.3 GE Healthcare
7.3.1 GE Healthcare Profile
7.3.2 GE Healthcare Main Business
7.3.3 GE Healthcare Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.3.4 GE Healthcare Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.3.5 GE Healthcare Recent Developments
7.4 Aidoc
7.4.1 Aidoc Profile
7.4.2 Aidoc Main Business
7.4.3 Aidoc Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.4.4 Aidoc Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.4.5 Aidoc Recent Developments
7.5 Zebra Medical Vision
7.5.1 Zebra Medical Vision Profile
7.5.2 Zebra Medical Vision Main Business
7.5.3 Zebra Medical Vision Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.5.4 Zebra Medical Vision Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.5.5 Zebra Medical Vision Recent Developments
7.6 PathAI
7.6.1 PathAI Profile
7.6.2 PathAI Main Business
7.6.3 PathAI Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.6.4 PathAI Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.6.5 PathAI Recent Developments
7.7 Google Health
7.7.1 Google Health Profile
7.7.2 Google Health Main Business
7.7.3 Google Health Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.7.4 Google Health Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.7.5 Google Health Recent Developments
7.8 Butterfly Network
7.8.1 Butterfly Network Profile
7.8.2 Butterfly Network Main Business
7.8.3 Butterfly Network Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.8.4 Butterfly Network Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.8.5 Butterfly Network Recent Developments
7.9 Tempus
7.9.1 Tempus Profile
7.9.2 Tempus Main Business
7.9.3 Tempus Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.9.4 Tempus Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.9.5 Tempus Recent Developments
7.10 Arterys
7.10.1 Arterys Profile
7.10.2 Arterys Main Business
7.10.3 Arterys Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.10.4 Arterys Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.10.5 Arterys Recent Developments
7.11 Abbott Laboratories
7.11.1 Abbott Laboratories Profile
7.11.2 Abbott Laboratories Main Business
7.11.3 Abbott Laboratories Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.11.4 Abbott Laboratories Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.11.5 Abbott Laboratories Recent Developments
7.12 Philips Healthcare
7.12.1 Philips Healthcare Profile
7.12.2 Philips Healthcare Main Business
7.12.3 Philips Healthcare Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.12.4 Philips Healthcare Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.12.5 Philips Healthcare Recent Developments
7.13 Medtronic
7.13.1 Medtronic Profile
7.13.2 Medtronic Main Business
7.13.3 Medtronic Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.13.4 Medtronic Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.13.5 Medtronic Recent Developments
7.14 Canon Medical Systems
7.14.1 Canon Medical Systems Profile
7.14.2 Canon Medical Systems Main Business
7.14.3 Canon Medical Systems Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.14.4 Canon Medical Systems Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.14.5 Canon Medical Systems Recent Developments
7.15 Johnson & Johnson
7.15.1 Johnson & Johnson Profile
7.15.2 Johnson & Johnson Main Business
7.15.3 Johnson & Johnson Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.15.4 Johnson & Johnson Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.15.5 Johnson & Johnson Recent Developments
7.16 Nuance Communications
7.16.1 Nuance Communications Profile
7.16.2 Nuance Communications Main Business
7.16.3 Nuance Communications Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.16.4 Nuance Communications Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.16.5 Nuance Communications Recent Developments
7.17 Veeva Systems
7.17.1 Veeva Systems Profile
7.17.2 Veeva Systems Main Business
7.17.3 Veeva Systems Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.17.4 Veeva Systems Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.17.5 Veeva Systems Recent Developments
7.18 Babylon Health
7.18.1 Babylon Health Profile
7.18.2 Babylon Health Main Business
7.18.3 Babylon Health Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.18.4 Babylon Health Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.18.5 Babylon Health Recent Developments
7.19 AliveCor
7.19.1 AliveCor Profile
7.19.2 AliveCor Main Business
7.19.3 AliveCor Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.19.4 AliveCor Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.19.5 AliveCor Recent Developments
7.20 Health Catalyst
7.20.1 Health Catalyst Profile
7.20.2 Health Catalyst Main Business
7.20.3 Health Catalyst Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.20.4 Health Catalyst Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.20.5 Health Catalyst Recent Developments
7.21 Atomwise
7.21.1 Atomwise Profile
7.21.2 Atomwise Main Business
7.21.3 Atomwise Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.21.4 Atomwise Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.21.5 Atomwise Recent Developments
7.22 Insilico Medicine
7.22.1 Insilico Medicine Profile
7.22.2 Insilico Medicine Main Business
7.22.3 Insilico Medicine Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.22.4 Insilico Medicine Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.22.5 Insilico Medicine Recent Developments
7.23 BenevolentAI
7.23.1 BenevolentAI Profile
7.23.2 BenevolentAI Main Business
7.23.3 BenevolentAI Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.23.4 BenevolentAI Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.23.5 BenevolentAI Recent Developments
7.24 Cerner
7.24.1 Cerner Profile
7.24.2 Cerner Main Business
7.24.3 Cerner Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.24.4 Cerner Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.24.5 Cerner Recent Developments
7.25 Allscripts
7.25.1 Allscripts Profile
7.25.2 Allscripts Main Business
7.25.3 Allscripts Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.25.4 Allscripts Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.25.5 Allscripts Recent Developments
7.26 Ada Health
7.26.1 Ada Health Profile
7.26.2 Ada Health Main Business
7.26.3 Ada Health Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.26.4 Ada Health Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.26.5 Ada Health Recent Developments
7.27 Buoy Health
7.27.1 Buoy Health Profile
7.27.2 Buoy Health Main Business
7.27.3 Buoy Health Artificial Intelligence (AI) in Medical Products, Services and Solutions
7.27.4 Buoy Health Artificial Intelligence (AI) in Medical Revenue (US$ Million) & (2020-2025)
7.27.5 Buoy Health Recent Developments
8 Industry Chain Analysis
8.1 Artificial Intelligence (AI) in Medical Industrial Chain
8.2 Artificial Intelligence (AI) in Medical Upstream Analysis
8.2.1 Key Raw Materials
8.2.2 Raw Materials Key Suppliers
8.2.3 Manufacturing Cost Structure
8.3 Midstream Analysis
8.4 Downstream Analysis (Customers Analysis)
8.5 Sales Model and Sales Channels
8.5.1 Artificial Intelligence (AI) in Medical Sales Model
8.5.2 Sales Channel
8.5.3 Artificial Intelligence (AI) in Medical Distributors
9 Research Findings and Conclusion
10 Appendix
10.1 Research Methodology
10.1.1 Methodology/Research Approach
10.1.1.1 Research Programs/Design
10.1.1.2 Market Size Estimation
10.1.1.3 Market Breakdown and Data Triangulation
10.1.2 Data Source
10.1.2.1 Secondary Sources
10.1.2.2 Primary Sources
10.2 Author Details
10.3 Disclaimer

About Us:

QYResearch established as a research firm in 2007 and have since grown into a trusted brand amongst many industries. Over the years, we have consistently worked toward delivering high-quality customized solutions for wide range of clients ranging from ICT to healthcare industries. With over 50,000 satisfied clients, spread over 80 countries, we have sincerely strived to deliver the best analytics through exhaustive research methodologies.

Contact Us:

Arshad Shaha | Marketing Executive

QY Research, INC.
315 Work Avenue, Raheja Woods,
Survey No. 222/1, Plot No. 25, 6th Floor,
Kayani Nagar, Yervada, Pune 411006, Maharashtra
Tel: +91-8669986909
Emails - arshad@qyrindia.com
Web - https://www.qyresearch.in

This release was published on openPR.