Global Artificial Intelligence in Medicine Market 2023 by Company, Regions, Type and Application, Forecast to 2029

Global Artificial Intelligence in Medicine Market 2023 by Company, Regions, Type and Application, Forecast to 2029

According to our (Global Info Research) latest study, the global Artificial Intelligence in Medicine market size was valued at USD 15540 million in 2022 and is forecast to a readjusted size of USD 129400 million by 2029 with a CAGR of 35.4% during review period. The influence of COVID-19 and the Russia-Ukraine War were considered while estimating market sizes.

Global key players of artificial intelligence in medicine include NVIDIA, Intel, IBM, Google Health, Siemens Healthineers, etc. The top five players hold a share over 26%. North America is the largest market, has a share about 42%, followed by Europe, and Asia-Pacific, with share 32% and 21%, separately.

Artificial intelligence (AI) is technology patterned after the brain’s neural network sand uses multiple layers of information – including algorithms, pattern matching, rules, deep learning and cognitive computing – to learn how to understand data. Medicine artificial intelligence (AI) mainly uses computer techniques to perform clinical diagnoses and suggest treatments. AI has the capability of detecting meaningful relationships in a data set and has been widely used in many clinical situations to diagnose, treat, and predict the results.

This report is a detailed and comprehensive analysis for global Artificial Intelligence in Medicine market. Both quantitative and qualitative analyses are presented by company, by region & country, by Type and by Application. As the market is constantly changing, this report explores the competition, supply and demand trends, as well as key factors that contribute to its changing demands across many markets. Company profiles and product examples of selected competitors, along with market share estimates of some of the selected leaders for the year 2023, are provided.

Key Features:

Global Artificial Intelligence in Medicine market size and forecasts, in consumption value ($ Million), 2018-2029

Global Artificial Intelligence in Medicine market size and forecasts by region and country, in consumption value ($ Million), 2018-2029

Global Artificial Intelligence in Medicine market size and forecasts, by Type and by Application, in consumption value ($ Million), 2018-2029

Global Artificial Intelligence in Medicine market shares of main players, in revenue ($ Million), 2018-2023

The Primary Objectives in This Report Are:

To determine the size of the total market opportunity of global and key countries

To assess the growth potential for Artificial Intelligence in Medicine

To forecast future growth in each product and end-use market

To assess competitive factors affecting the marketplace

This report profiles key players in the global Artificial Intelligence in Medicine market based on the following parameters - company overview, production, value, price, gross margin, product portfolio, geographical presence, and key developments. Key companies covered as a part of this study include NVIDIA, Intel, IBM, Google Health and Microsoft, etc.

This report also provides key insights about market drivers, restraints, opportunities, new product launches or approvals, COVID-19 and Russia-Ukraine War Influence.

Market segmentation

Artificial Intelligence in Medicine market is split by Type and by Application. For the period 2018-2029, the growth among segments provide accurate calculations and forecasts for consumption value by Type and by Application. This analysis can help you expand your business by targeting qualified niche markets.

Market segment by Type
Hardware
Software
Services

Market segment by Application
Auxiliary Diagnosis
Drug Discovery
Health Management
Hospital Management
Others

Market segment by players, this report covers
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

Market segment by regions, regional analysis covers
North America (United States, Canada, and Mexico)
Europe (Germany, France, UK, Russia, Italy, and Rest of Europe)
Asia-Pacific (China, Japan, South Korea, India, Southeast Asia, Australia and Rest of Asia-Pacific)
South America (Brazil, Argentina and Rest of South America)
Middle East & Africa (Turkey, Saudi Arabia, UAE, Rest of Middle East & Africa)

The content of the study subjects, includes a total of 13 chapters:

Chapter 1, to describe Artificial Intelligence in Medicine product scope, market overview, market estimation caveats and base year.

Chapter 2, to profile the top players of Artificial Intelligence in Medicine, with revenue, gross margin and global market share of Artificial Intelligence in Medicine from 2018 to 2023.

Chapter 3, the Artificial Intelligence in Medicine competitive situation, revenue and global market share of top players are analyzed emphatically by landscape contrast.

Chapter 4 and 5, to segment the market size by Type and application, with consumption value and growth rate by Type, application, from 2018 to 2029.

Chapter 6, 7, 8, 9, and 10, to break the market size data at the country level, with revenue and market share for key countries in the world, from 2018 to 2023.and Artificial Intelligence in Medicine market forecast, by regions, type and application, with consumption value, from 2024 to 2029.

Chapter 11, market dynamics, drivers, restraints, trends, Porters Five Forces analysis, and Influence of COVID-19 and Russia-Ukraine War

Chapter 12, the key raw materials and key suppliers, and industry chain of Artificial Intelligence in Medicine.

Chapter 13, to describe Artificial Intelligence in Medicine research findings and conclusion.


1 Market Overview
2 Company Profiles
3 Market Competition, by Players
4 Market Size Segment by Type
5 Market Size Segment by Application
6 North America
7 Europe
8 Asia-Pacific
9 South America
10 Middle East & Africa
11 Market Dynamics
12 Industry Chain Analysis
13 Research Findings and Conclusion
14 Appendix

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