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Synopsis
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.
The global Artificial Intelligence in Medicine market was valued at US$ 15100 million in 2023 and is anticipated to reach US$ 136240 million by 2030, witnessing a CAGR of 37.0% during the forecast period 2024-2030.
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.
This report aims to provide a comprehensive presentation of the global market for Artificial Intelligence in Medicine, with both quantitative and qualitative analysis, to help readers develop business/growth strategies, assess the market competitive situation, analyze their position in the current marketplace, and make informed business decisions regarding Artificial Intelligence in Medicine.
Report Scope
The Artificial Intelligence in Medicine market size, estimations, and forecasts are provided in terms of revenue ($ millions), considering 2023 as the base year, with history and forecast data for the period from 2019 to 2030. This report segments the global Artificial Intelligence in Medicine market comprehensively. Regional market sizes, concerning products by Type, by Application, and by players, are also provided.
For a more in-depth understanding of the market, the report provides profiles of the competitive landscape, key competitors, and their respective market ranks. The report also discusses technological trends and new product developments.
The report will help the Artificial Intelligence in Medicine companies, new entrants, and industry chain related companies in this market with information on the revenues, sales volume, and average price for the overall market and the sub-segments across the different segments, by company, by Type, by Application, and by regions.
Market Segmentation
By Company
- 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
Segment by Type
- Hardware
- Software
- Services
Segment by Application
- Auxiliary Diagnosis
- Drug Discovery
- Health Management
- Hospital Management
- Others
Consumption by Region
- North America (United States, Canada)
- Europe (Germany, France, U.K., Italy, Russia)
- Asia-Pacific (China, Japan, South Korea, India, Australia, China Taiwan, Indonesia, Thailand, Malaysia)
- Latin America (Mexico, Brazil, Argentina)
- Middle East & Africa (Turkey, Saudi Arabia, UAE)
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (by Type, by Application, etc), including the market size of each market segment, future development potential, and so on. It offers a high-level view of the current state of the market and its likely evolution in the short to mid-term, and long term.
Chapter 2: Introduces executive summary of global market size, regional market size, this section also introduces the market dynamics, latest developments of the market, the driving factors and restrictive factors of the market, the challenges and risks faced by companies in the industry, and the analysis of relevant policies in the industry.
Chapter 3: Detailed analysis of Artificial Intelligence in Medicine companies’ competitive landscape, revenue market share, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different market segments.
Chapter 5: Provides the analysis of various market segments by Application, covering the market size and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6, 7, 8, 9, 10: North America, Europe, Asia Pacific, Latin America, Middle East and Africa segment by country. It provides a quantitative analysis of the market size and development potential of each region and its main countries and introduces the market development, future development prospects, market space, and capacity of each country in the world.
Chapter 11: Provides profiles of key players, introducing the basic situation of the main companies in the market in detail, including product sales, revenue, price, gross margin, product introduction, recent development, etc.
Chapter 12: The main points and conclusions of the report.
Index
1 Report Overview
1.1 Study Scope
1.2 Market Analysis by Type
1.2.1 Global Artificial Intelligence in Medicine Market Size Growth Rate by Type: 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 Market by Application
1.3.1 Global Artificial Intelligence in Medicine Market Growth by Application: 2019 VS 2023 VS 2030
1.3.2 Auxiliary Diagnosis
1.3.3 Drug Discovery
1.3.4 Health Management
1.3.5 Hospital Management
1.3.6 Others
1.4 Study Objectives
1.5 Years Considered
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Medicine Market Perspective (2019-2030)
2.2 Artificial Intelligence in Medicine Growth Trends by Region
2.2.1 Global Artificial Intelligence in Medicine Market Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence in Medicine Historic Market Size by Region (2019-2024)
2.2.3 Artificial Intelligence in Medicine Forecasted Market Size by Region (2025-2030)
2.3 Artificial Intelligence in Medicine Market Dynamics
2.3.1 Artificial Intelligence in Medicine Industry Trends
2.3.2 Artificial Intelligence in Medicine Market Drivers
2.3.3 Artificial Intelligence in Medicine Market Challenges
2.3.4 Artificial Intelligence in Medicine Market Restraints
3 Competition Landscape by Key Players
3.1 Global Top Artificial Intelligence in Medicine Players by Revenue
3.1.1 Global Top Artificial Intelligence in Medicine Players by Revenue (2019-2024)
3.1.2 Global Artificial Intelligence in Medicine Revenue Market Share by Players (2019-2024)
3.2 Global Artificial Intelligence in Medicine Market Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Players Covered: Ranking by Artificial Intelligence in Medicine Revenue
3.4 Global Artificial Intelligence in Medicine Market Concentration Ratio
3.4.1 Global Artificial Intelligence in Medicine Market Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Medicine Revenue in 2023
3.5 Artificial Intelligence in Medicine Key Players Head office and Area Served
3.6 Key Players Artificial Intelligence in Medicine Product Solution and Service
3.7 Date of Enter into Artificial Intelligence in Medicine Market
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in Medicine Breakdown Data by Type
4.1 Global Artificial Intelligence in Medicine Historic Market Size by Type (2019-2024)
4.2 Global Artificial Intelligence in Medicine Forecasted Market Size by Type (2025-2030)
5 Artificial Intelligence in Medicine Breakdown Data by Application
5.1 Global Artificial Intelligence in Medicine Historic Market Size by Application (2019-2024)
5.2 Global Artificial Intelligence in Medicine Forecasted Market Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in Medicine Market Size (2019-2030)
6.2 North America Artificial Intelligence in Medicine Market Growth Rate by Country: 2019 VS 2023 VS 2030
6.3 North America Artificial Intelligence in Medicine Market Size by Country (2019-2024)
6.4 North America Artificial Intelligence in Medicine Market Size by Country (2025-2030)
6.5 United States
6.6 Canada
7 Europe
7.1 Europe Artificial Intelligence in Medicine Market Size (2019-2030)
7.2 Europe Artificial Intelligence in Medicine Market Growth Rate by Country: 2019 VS 2023 VS 2030
7.3 Europe Artificial Intelligence in Medicine Market Size by Country (2019-2024)
7.4 Europe Artificial Intelligence in Medicine Market Size by Country (2025-2030)
7.5 Germany
7.6 France
7.7 U.K.
7.8 Italy
7.9 Russia
7.10 Nordic Countries
8 Asia-Pacific
8.1 Asia-Pacific Artificial Intelligence in Medicine Market Size (2019-2030)
8.2 Asia-Pacific Artificial Intelligence in Medicine Market Growth Rate by Region: 2019 VS 2023 VS 2030
8.3 Asia-Pacific Artificial Intelligence in Medicine Market Size by Region (2019-2024)
8.4 Asia-Pacific Artificial Intelligence in Medicine Market Size by Region (2025-2030)
8.5 China
8.6 Japan
8.7 South Korea
8.8 Southeast Asia
8.9 India
8.10 Australia
9 Latin America
9.1 Latin America Artificial Intelligence in Medicine Market Size (2019-2030)
9.2 Latin America Artificial Intelligence in Medicine Market Growth Rate by Country: 2019 VS 2023 VS 2030
9.3 Latin America Artificial Intelligence in Medicine Market Size by Country (2019-2024)
9.4 Latin America Artificial Intelligence in Medicine Market Size by Country (2025-2030)
9.5 Mexico
9.6 Brazil
10 Middle East & Africa
10.1 Middle East & Africa Artificial Intelligence in Medicine Market Size (2019-2030)
10.2 Middle East & Africa Artificial Intelligence in Medicine Market Growth Rate by Country: 2019 VS 2023 VS 2030
10.3 Middle East & Africa Artificial Intelligence in Medicine Market Size by Country (2019-2024)
10.4 Middle East & Africa Artificial Intelligence in Medicine Market Size by Country (2025-2030)
10.5 Turkey
10.6 Saudi Arabia
10.7 UAE
11 Key Players Profiles
11.1 NVIDIA
11.1.1 NVIDIA Company Detail
11.1.2 NVIDIA Business Overview
11.1.3 NVIDIA Artificial Intelligence in Medicine Introduction
11.1.4 NVIDIA Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.1.5 NVIDIA Recent Development
11.2 Intel
11.2.1 Intel Company Detail
11.2.2 Intel Business Overview
11.2.3 Intel Artificial Intelligence in Medicine Introduction
11.2.4 Intel Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.2.5 Intel Recent Development
11.3 IBM
11.3.1 IBM Company Detail
11.3.2 IBM Business Overview
11.3.3 IBM Artificial Intelligence in Medicine Introduction
11.3.4 IBM Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.3.5 IBM Recent Development
11.4 Google Health
11.4.1 Google Health Company Detail
11.4.2 Google Health Business Overview
11.4.3 Google Health Artificial Intelligence in Medicine Introduction
11.4.4 Google Health Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.4.5 Google Health Recent Development
11.5 Microsoft
11.5.1 Microsoft Company Detail
11.5.2 Microsoft Business Overview
11.5.3 Microsoft Artificial Intelligence in Medicine Introduction
11.5.4 Microsoft Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.5.5 Microsoft Recent Development
11.6 AWS
11.6.1 AWS Company Detail
11.6.2 AWS Business Overview
11.6.3 AWS Artificial Intelligence in Medicine Introduction
11.6.4 AWS Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.6.5 AWS Recent Development
11.7 GE Healthcare
11.7.1 GE Healthcare Company Detail
11.7.2 GE Healthcare Business Overview
11.7.3 GE Healthcare Artificial Intelligence in Medicine Introduction
11.7.4 GE Healthcare Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.7.5 GE Healthcare Recent Development
11.8 Siemens Healthineers
11.8.1 Siemens Healthineers Company Detail
11.8.2 Siemens Healthineers Business Overview
11.8.3 Siemens Healthineers Artificial Intelligence in Medicine Introduction
11.8.4 Siemens Healthineers Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.8.5 Siemens Healthineers Recent Development
11.9 Medtronic
11.9.1 Medtronic Company Detail
11.9.2 Medtronic Business Overview
11.9.3 Medtronic Artificial Intelligence in Medicine Introduction
11.9.4 Medtronic Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.9.5 Medtronic Recent Development
11.10 Atomwise
11.10.1 Atomwise Company Detail
11.10.2 Atomwise Business Overview
11.10.3 Atomwise Artificial Intelligence in Medicine Introduction
11.10.4 Atomwise Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.10.5 Atomwise Recent Development
11.11 Zebra Medical Vision
11.11.1 Zebra Medical Vision Company Detail
11.11.2 Zebra Medical Vision Business Overview
11.11.3 Zebra Medical Vision Artificial Intelligence in Medicine Introduction
11.11.4 Zebra Medical Vision Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.11.5 Zebra Medical Vision Recent Development
11.12 Cyrcadia Health
11.12.1 Cyrcadia Health Company Detail
11.12.2 Cyrcadia Health Business Overview
11.12.3 Cyrcadia Health Artificial Intelligence in Medicine Introduction
11.12.4 Cyrcadia Health Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.12.5 Cyrcadia Health Recent Development
11.13 AiCure
11.13.1 AiCure Company Detail
11.13.2 AiCure Business Overview
11.13.3 AiCure Artificial Intelligence in Medicine Introduction
11.13.4 AiCure Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.13.5 AiCure Recent Development
11.14 Alibaba
11.14.1 Alibaba Company Detail
11.14.2 Alibaba Business Overview
11.14.3 Alibaba Artificial Intelligence in Medicine Introduction
11.14.4 Alibaba Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.14.5 Alibaba Recent Development
11.15 BPGbio
11.15.1 BPGbio Company Detail
11.15.2 BPGbio Business Overview
11.15.3 BPGbio Artificial Intelligence in Medicine Introduction
11.15.4 BPGbio Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.15.5 BPGbio Recent Development
11.16 Medasense Biometrics
11.16.1 Medasense Biometrics Company Detail
11.16.2 Medasense Biometrics Business Overview
11.16.3 Medasense Biometrics Artificial Intelligence in Medicine Introduction
11.16.4 Medasense Biometrics Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.16.5 Medasense Biometrics Recent Development
11.17 Hindsait
11.17.1 Hindsait Company Detail
11.17.2 Hindsait Business Overview
11.17.3 Hindsait Artificial Intelligence in Medicine Introduction
11.17.4 Hindsait Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.17.5 Hindsait Recent Development
11.18 Dell
11.18.1 Dell Company Detail
11.18.2 Dell Business Overview
11.18.3 Dell Artificial Intelligence in Medicine Introduction
11.18.4 Dell Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.18.5 Dell Recent Development
11.19 SAP
11.19.1 SAP Company Detail
11.19.2 SAP Business Overview
11.19.3 SAP Artificial Intelligence in Medicine Introduction
11.19.4 SAP Revenue in Artificial Intelligence in Medicine Business (2019-2024)
11.19.5 SAP Recent Development
12 Analyst's Viewpoints/Conclusions
13 Appendix
13.1 Research Methodology
13.1.1 Methodology/Research Approach
13.1.2 Data Source
13.2 Disclaimer
13.3 Author Details
Published By : QY Research
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