AI in Genomics : Global Market Intelligence ( 2023-2030 )

Report Code : SMFODN23015
Published : 25-09-2023
Pages : 100+

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REPORT OBJECTIVES
The report AI in Genomics : Global Market Intelligence ( 2023-2030 ) provides market intelligence on the different market segments, based on Offering, Technology, Application, End User, Region, Company etc. Market size and forecast (2020-2030) has been provided in the report. The primary objectives of this report are to provide 1) comprehensive global market intelligence through detailed segmentation, 2) market size and forecasts, growth rates, market dynamics, industry structure and developments, market situation, trends, 3) detailed analysis of current dynamics and trends, key market players, and strategies in the market, 4) detailed value chain analysis and review of growth factors essential for the existing market players and new entrants, 5) provide emerging opportunities in the market and the future impact of major drivers and restraints of the market and, 6) support decision makers in making cost-effective business decisions.

RESEARCH METHODOLOGY
In our market size and forecast determination efforts, an extensive secondary research was initially completed to gain a good perspective of the market in each region. Extensive primary research was also carried out by interviewing the key executives from the industry. These interviews helped us to fill-in the data gaps after secondary research. Several secondary sources such as encyclopedia, directories, and databases have been used to identify and collect information useful for this extensive techno-commercial study. The respondents – selected experts from manufacturers and selected suppliers – have been interviewed to obtain and verify critical information as well as to assess the future prospects. The usage of obtained information is based on the perceived reliability by the research team. In many cases, a combination of several sources was used. Sprout Intelligence provides an in-depth analysis of the market segmentation, which is a critical element of the market intelligence reports at Sprout Intelligence.

KEY AUDIENCE
Executives in marketing, strategic planning and new product development will find such discussions in our reports pertinent and useful. Management consultants, investment bankers, manufacturers, distributors, suppliers, and regulatory authorities are amongst our regular clientele served.

DATA SOURCES
The general data sources used in this report are company websites, trade association publications, regulatory authorities, journals, magazines, news websites, press releases, media publications, interaction with industry experts, company executives, research papers, articles, patents, scientific literature, among many others.

KEY FINDINGS FROM THE REPORT
• The AI in Genomics market was valued at $130.5 Million in 2020, and is projected to reach $5,876.0 Million by 2030 growing at a CAGR of 52.84% from 2021 to 2030.
• Software segment is expected to be the highest contributor to this market, with $96.7 Million in 2020, and is anticipated to reach $4,061.4 Million by 2030, registering a CAGR of 51.66%.
• Services segment is anticipated to reach $1,814.7 Million by 2030 with the highest CAGR of 55.83%.
• The global AI in genomics market is being propelled by the increasing demand for precision medicine and personalized healthcare solutions, with AI-powered genomics enabling the efficient analysis of vast genomic datasets to identify potential disease markers and treatment options.
• Moreover, the growing availability of genomic data and advancements in machine learning algorithms are creating opportunities for AI-based genomics applications to revolutionize drug discovery and development processes, significantly reducing costs and timeframes.
• As the healthcare industry increasingly embraces AI-driven genomics, companies in this space have a unique opportunity to harness the power of artificial intelligence to unlock new insights, improve patient outcomes, and drive innovation in the genomics field..

1. Report Introduction
1.1. Report Description
1.1.1. Research Methodology
1.1.2. Report Objectives
1.1.3. Data Sources
1.2. Acronyms / Abbreviations
1.3. Assumptions
1.4. Limitations
2. Executive Summary
3. AI in Genomics Market, by Offering
3.1. Software
3.2. Services
4. AI in Genomics Market, by Technology
4.1. Machine Learning
4.2. Deep Learning
4.3. Supervised Learning
4.4. Reinforcement Learning
4.5. Unsupervised Learning
4.6. Other Machine LearningnTechnologies
4.7. Other Technologies
5. AI in Genomics Market, by Application
5.1. Diagnostics
5.2. Drug Discovery & Development
5.3. Precision Medicine
5.4. Agriculture & animal Research
5.5. Other Applications
6. AI in Genomics Market, by End User
6.1. Pharmaceutical & Biotech Companies
6.2. Healthcare Providers
6.3. Research Centers, Academic Institutes, &
6.4. Government Organizations
6.5. Other End Users
7. AI in Genomics Market, by Region
7.1. North America
7.1.1. US
7.1.2. Canada
7.2. Europe
7.2.3. Germany
7.2.4. France
7.2.5. UK
7.2.6. Italy
7.2.7. Spain
7.2.8. RoE
7.3. Asia-Pacific
7.3.9. Japan
7.3.10. China
7.3.11. India
7.3.12. RoAPAC
7.4. Rest of the World
7.4.13. Latin America
7.4.14. Middle East & Africa
8. AI in Genomics Market, by Company
8.1. IBM
8.2. Google
8.3. Amazon Web Services (AWS)
8.4. NVIDIA
8.5. Illumina
8.6. DNAnexus
8.7. Freenome
8.8. Deep Genomics
8.9. Tempus
8.10. Seven Bridges Genomics
8.11. Sophia Genetics
8.12. BenevolentAI
8. Appendix
8.1. Disclaimer
8.2. About Sprout Intelligence

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