Global Artificial Intelligence in Precision Medicine 麻豆原创 Insights, Forecast to 2030

Publication ID:

PB512244819

Publication Date:

December 31, 2024

Pages:

Publisher:

MRRPB5

Countries:

Global [1]

USD 4,900.00

Pharmaceutical Manufacturing [2]

Healthcare [3]

Pharma & Healthcare [4]

Description:

According to the National Institutes of Health (NIH), precision medicine is "an emerging approach for disease treatment and prevention that takes into account individual variability in genes, environment, and lifestyle for each person." This approach will allow doctors and researchers to predict more accurately which treatment and prevention strategies for a particular disease will work in which groups of people. It is in contrast to a "one-size-fits-all" approach, in which disease treatment and prevention strategies are developed for the average person, with less consideration for the differences between individuals.
麻豆原创 Analysis and Insights: Global Artificial Intelligence in Precision Medicine 麻豆原创
The global Artificial Intelligence in Precision Medicine market is projected to grow from US$ million in 2024 to US$ million by 2030, at a Compound Annual Growth Rate (CAGR) of % during the forecast period.
Artificial intelligence is providing paradigm shift toward precision medicine. Machine learning algorithms are used for genomic sequence and to analyze and draw inferences from the vast amounts of data patients and healthcare institutions recorded in every moment. AI technique is used in precision cardiovascular medicine to understand genotypes and phenotypes in existing diseases, improve the quality of patient care, enable cost-effectiveness, and reduce readmission rates and mortality. In addition, AI helps companies accelerate drug development to reduce costs.
Report Covers:
This report presents an overview of global market for Artificial Intelligence in Precision Medicine market size. Analyses of the global market trends, with historic market revenue data for 2019 - 2023, estimates for 2024, and projections of CAGR through 2030.
This report researches the key producers of Artificial Intelligence in Precision Medicine, also provides the revenue of main regions and countries. Highlights of the upcoming market potential for Artificial Intelligence in Precision Medicine, and key regions/countries of focus to forecast this market into various segments and sub-segments. Country specific data and market value analysis for the U.S., Canada, Mexico, Brazil, China, Japan, South Korea, Southeast Asia, India, Germany, the U.K., Italy, Middle East, Africa, and Other Countries.
This report focuses on the Artificial Intelligence in Precision Medicine revenue, market share and industry ranking of main companies, data from 2019 to 2024. Identification of the major stakeholders in the global Artificial Intelligence in Precision Medicine market, and analysis of their competitive landscape and market positioning based on recent developments and segmental revenues. This report will help stakeholders to understand the competitive landscape and gain more insights and position their businesses and market strategies in a better way.
This report analyzes the segments data by Type and by Application, revenue, and growth rate, from 2019 to 2030. Evaluation and forecast the market size for Artificial Intelligence in Precision Medicine revenue, projected growth trends, production technology, application and end-user industry.
麻豆原创 Segmentation
By Company
Intel AI
IBM
GE Healthcare
Thermo Fisher Scientific
Qiagen
Berg Health
Medasense Biometrics
Segment by Type
Hardware
Software
Services
Segment by Application
Oncology
Neurosciences
Immunology
Respiratory
Others
By Region
North America
United States
Canada
Europe
Germany
France
UK
Italy
Russia
Nordic Countries
Rest of Europe
China
Asia (excluding China)
Japan
South Korea
China Taiwan
Southeast Asia
India
Latin America, Middle East & Africa
Brazil
Mexico
Turkey
Israel
GCC Countries
Chapter Outline
Chapter 1: Introduces the report scope of the report, executive summary of different market segments (product type, 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: Revenue of Artificial Intelligence in Precision Medicine in global and regional level. 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. 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 Precision Medicine companies鈥� competitive landscape, revenue, market share and industry ranking, latest development plan, merger, and acquisition information, etc.
Chapter 4: Provides the analysis of various market segments by Type, covering the revenue, 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 revenue, and development potential of each market segment, to help readers find the blue ocean market in different downstream markets.
Chapter 6: North America (US & Canada) by Type, by Application and by country, revenue for each segment.
Chapter 7: Europe by Type, by Application and by country, revenue for each segment.
Chapter 8: China by Type, and by Application, revenue for each segment.
Chapter 9: Asia (excluding China) by Type, by Application and by region, revenue for each segment.
Chapter 10: Middle East, Africa, and Latin America by Type, by Application and by country, revenue for each segment.
Chapter 11: Provides profiles of key companies, introducing the basic situation of the main companies in the market in detail, including product descriptions and specifications, Artificial Intelligence in Precision Medicine revenue, gross margin, and recent development, etc.
Chapter 12: Analyst's Viewpoints/Conclusions

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Table Of Contents:

1 Report Overview
1.1 Study Scope
1.2 麻豆原创 Analysis by Type
1.2.1 Global Artificial Intelligence in Precision Medicine 麻豆原创 Size Growth Rate by Type, 2019 VS 2023 VS 2030
1.2.2 Hardware
1.2.3 Software
1.2.4 Services
1.3 麻豆原创 by Application
1.3.1 Global Artificial Intelligence in Precision Medicine 麻豆原创 Size Growth Rate by Application, 2019 VS 2023 VS 2030
1.3.2 Oncology
1.3.3 Neurosciences
1.3.4 Immunology
1.3.5 Respiratory
1.3.6 Others
1.4 Assumptions and Limitations
1.5 Study Objectives
1.6 Years Considered
2 Global Growth Trends
2.1 Global Artificial Intelligence in Precision Medicine 麻豆原创 Perspective (2019-2030)
2.2 Global Artificial Intelligence in Precision Medicine Growth Trends by Region
2.2.1 Artificial Intelligence in Precision Medicine 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
2.2.2 Artificial Intelligence in Precision Medicine Historic 麻豆原创 Size by Region (2019-2024)
2.2.3 Artificial Intelligence in Precision Medicine Forecasted 麻豆原创 Size by Region (2025-2030)
2.3 Artificial Intelligence in Precision Medicine 麻豆原创 Dynamics
2.3.1 Artificial Intelligence in Precision Medicine Industry Trends
2.3.2 Artificial Intelligence in Precision Medicine 麻豆原创 Drivers
2.3.3 Artificial Intelligence in Precision Medicine 麻豆原创 Challenges
2.3.4 Artificial Intelligence in Precision Medicine 麻豆原创 Restraints
3 Competition Landscape by Key Players
3.1 Global Revenue Artificial Intelligence in Precision Medicine by Players
3.1.1 Global Artificial Intelligence in Precision Medicine Revenue by Players (2019-2024)
3.1.2 Global Artificial Intelligence in Precision Medicine Revenue 麻豆原创 Share by Players (2019-2024)
3.2 Global Artificial Intelligence in Precision Medicine 麻豆原创 Share by Company Type (Tier 1, Tier 2, and Tier 3)
3.3 Global Key Players of Artificial Intelligence in Precision Medicine, Ranking by Revenue, 2022 VS 2023 VS 2024
3.4 Global Artificial Intelligence in Precision Medicine 麻豆原创 Concentration Ratio
3.4.1 Global Artificial Intelligence in Precision Medicine 麻豆原创 Concentration Ratio (CR5 and HHI)
3.4.2 Global Top 10 and Top 5 Companies by Artificial Intelligence in Precision Medicine Revenue in 2023
3.5 Global Key Players of Artificial Intelligence in Precision Medicine Head office and Area Served
3.6 Global Key Players of Artificial Intelligence in Precision Medicine, Product and Application
3.7 Global Key Players of Artificial Intelligence in Precision Medicine, Date of Enter into This Industry
3.8 Mergers & Acquisitions, Expansion Plans
4 Artificial Intelligence in Precision Medicine Breakdown Data by Type
4.1 Global Artificial Intelligence in Precision Medicine Historic 麻豆原创 Size by Type (2019-2024)
4.2 Global Artificial Intelligence in Precision Medicine Forecasted 麻豆原创 Size by Type (2025-2030)
5 Artificial Intelligence in Precision Medicine Breakdown Data by Application
5.1 Global Artificial Intelligence in Precision Medicine Historic 麻豆原创 Size by Application (2019-2024)
5.2 Global Artificial Intelligence in Precision Medicine Forecasted 麻豆原创 Size by Application (2025-2030)
6 North America
6.1 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size (2019-2030)
6.2 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type
6.2.1 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2019-2024)
6.2.2 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2025-2030)
6.2.3 North America Artificial Intelligence in Precision Medicine 麻豆原创 Share by Type (2019-2030)
6.3 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application
6.3.1 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2019-2024)
6.3.2 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2025-2030)
6.3.3 North America Artificial Intelligence in Precision Medicine 麻豆原创 Share by Application (2019-2030)
6.4 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country
6.4.1 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
6.4.2 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country (2019-2024)
6.4.3 North America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country (2025-2030)
6.4.4 U.S.
6.4.5 Canada
7 Europe
7.1 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size (2019-2030)
7.2 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type
7.2.1 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2019-2024)
7.2.2 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2025-2030)
7.2.3 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Share by Type (2019-2030)
7.3 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application
7.3.1 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2019-2024)
7.3.2 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2025-2030)
7.3.3 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Share by Application (2019-2030)
7.4 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country
7.4.1 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
7.4.2 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country (2019-2024)
7.4.3 Europe Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country (2025-2030)
7.4.3 Germany
7.4.4 France
7.4.5 U.K.
7.4.6 Italy
7.4.7 Russia
7.4.8 Nordic Countries
8 China
8.1 China Artificial Intelligence in Precision Medicine 麻豆原创 Size (2019-2030)
8.2 China Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type
8.2.1 China Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2019-2024)
8.2.2 China Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2025-2030)
8.2.3 China Artificial Intelligence in Precision Medicine 麻豆原创 Share by Type (2019-2030)
8.3 China Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application
8.3.1 China Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2019-2024)
8.3.2 China Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2025-2030)
8.3.3 China Artificial Intelligence in Precision Medicine 麻豆原创 Share by Application (2019-2030)
9 Asia (excluding China)
9.1 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size (2019-2030)
9.2 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type
9.2.1 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2019-2024)
9.2.2 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2025-2030)
9.2.3 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Share by Type (2019-2030)
9.3 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application
9.3.1 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2019-2024)
9.3.2 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2025-2030)
9.3.3 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Share by Application (2019-2030)
9.4 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Region
9.4.1 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Region: 2019 VS 2023 VS 2030
9.4.2 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Region (2019-2024)
9.4.3 Asia Artificial Intelligence in Precision Medicine 麻豆原创 Size by Region (2025-2030)
9.4.4 Japan
9.4.5 South Korea
9.4.6 China Taiwan
9.4.7 Southeast Asia
9.4.8 India
9.4.9 Australia
10 Middle East, Africa, and Latin America
10.1 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size (2019-2030)
10.2 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type
10.2.1 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2019-2024)
10.2.2 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Type (2025-2030)
10.2.3 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Share by Type (2019-2030)
10.3 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application
10.3.1 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2019-2024)
10.3.2 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Application (2025-2030)
10.3.3 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Share by Application (2019-2030)
10.4 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country
10.4.1 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country: 2019 VS 2023 VS 2030
10.4.2 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country (2019-2024)
10.4.3 Middle East, Africa, and Latin America Artificial Intelligence in Precision Medicine 麻豆原创 Size by Country (2025-2030)
10.4.4 Brazil
10.4.5 Mexico
10.4.6 Turkey
10.4.7 Saudi Arabia
10.4.8 Israel
10.4.9 GCC Countries
11 Key Players Profiles
11.1 Intel AI
11.1.1 Intel AI Company Details
11.1.2 Intel AI Business Overview
11.1.3 Intel AI Artificial Intelligence in Precision Medicine Introduction
11.1.4 Intel AI Revenue in Artificial Intelligence in Precision Medicine Business (2019-2024)
11.1.5 Intel AI Recent Developments
11.2 IBM
11.2.1 IBM Company Details
11.2.2 IBM Business Overview
11.2.3 IBM Artificial Intelligence in Precision Medicine Introduction
11.2.4 IBM Revenue in Artificial Intelligence in Precision Medicine Business (2019-2024)
11.2.5 IBM Recent Developments
11.3 GE Healthcare
11.3.1 GE Healthcare Company Details
11.3.2 GE Healthcare Business Overview
11.3.3 GE Healthcare Artificial Intelligence in Precision Medicine Introduction
11.3.4 GE Healthcare Revenue in Artificial Intelligence in Precision Medicine Business (2019-2024)
11.3.5 GE Healthcare Recent Developments
11.4 Thermo Fisher Scientific
11.4.1 Thermo Fisher Scientific Company Details
11.4.2 Thermo Fisher Scientific Business Overview
11.4.3 Thermo Fisher Scientific Artificial Intelligence in Precision Medicine Introduction
11.4.4 Thermo Fisher Scientific Revenue in Artificial Intelligence in Precision Medicine Business (2019-2024)
11.4.5 Thermo Fisher Scientific Recent Developments
11.5 Qiagen
11.5.1 Qiagen Company Details
11.5.2 Qiagen Business Overview
11.5.3 Qiagen Artificial Intelligence in Precision Medicine Introduction
11.5.4 Qiagen Revenue in Artificial Intelligence in Precision Medicine Business (2019-2024)
11.5.5 Qiagen Recent Developments
11.6 Berg Health
11.6.1 Berg Health Company Details
11.6.2 Berg Health Business Overview
11.6.3 Berg Health Artificial Intelligence in Precision Medicine Introduction
11.6.4 Berg Health Revenue in Artificial Intelligence in Precision Medicine Business (2019-2024)
11.6.5 Berg Health Recent Developments
11.7 Medasense Biometrics
11.7.1 Medasense Biometrics Company Details
11.7.2 Medasense Biometrics Business Overview
11.7.3 Medasense Biometrics Artificial Intelligence in Precision Medicine Introduction
11.7.4 Medasense Biometrics Revenue in Artificial Intelligence in Precision Medicine Business (2019-2024)
11.7.5 Medasense Biometrics Recent Developments
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

Companies Mentioned:

Intel AI
IBM
GE Healthcare
Thermo Fisher Scientific
Qiagen
Berg Health
Medasense Biometrics

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