Global Artificial Intelligence in Omics Studies Market Size Study, by Type, by Application, by Technology, by Offering and Regional Forecasts 2024-2032

Description

The Global Artificial Intelligence in Omics Studies Market is valued approximately at USD 5.74 Billion in 2023 and is anticipated to grow with a healthy growth rate of more than 22.53% over the forecast period 2024-2032. Artificial Intelligence (AI) in omics studies refers to the application of AI technologies to analyze, interpret, and derive insights from large-scale omics data, which include genomics, proteomics, metabolomics, transcriptomics, and other -omics disciplines. AI enhances omics research by leveraging advanced computational methods to handle the complex and voluminous data generated in these studies. Furthermore, the integration of AI in omics studies is revolutionizing data analytics, biomarker discovery, and personalized medicine, providing transformative capabilities that enhance precision and efficiency in healthcare research and diagnostics.

The increasing volume and complexity of omics data, combined with the rising demand for precision medicine, have facilitated the integration of AI into omics studies. Key factors driving market growth include AI's ability to accelerate data analysis, improve predictive modeling, and develop personalized healthcare plans. Trends such as the emergence of deep learning, machine learning, and cloud computing are enabling AI algorithms to efficiently handle large datasets, enhancing the accuracy and effectiveness of omics research. The focus on interpretable AI is also fostering transparency and accountability in AI models, gaining trust within the medical sector.

The key regions considered for the global Artificial Intelligence in Omics Studies market study include North America, Europe, Asia-Pacific, Latin America, and the Middle East & Africa. North America is expected to dominate the market, driven by substantial investments in healthcare IT, demand for personalized medicine, and advanced AI technologies for data analysis. The region benefits from a strong foundation in advanced technology infrastructure and significant investments in research and development, particularly in biotechnology and computational biology. Major research institutions, leading tech companies, and biotech firms in North America are at the forefront of integrating AI with omics studies, facilitating innovative discoveries and applications. Additionally, the availability of extensive and diverse datasets, coupled with a supportive regulatory environment and robust funding mechanisms, further supports the growth and adoption of AI technologies in this field. Europe is anticipated to show significant growth due to its well-established healthcare infrastructure and high research spending. The Asia-Pacific region is projected to exhibit the fastest growth rate, supported by expanding healthcare sectors and increasing governmental emphasis on AI technology.

Major market players included in this report are:

Pacific Biosciences of California, Inc.
Myriad Genetics, Inc.
BD (Becton, Dickinson and Company)
BioRad Laboratories, Inc.
Oxford Nanopore Technologies, PLC
PerkinElmer, Inc.
Agilent Technologies
Sequenom, Inc.
QIAGEN
Illumina, Inc.
Trimble Inc.
Abbott Laboratories
Thermo Fisher Scientific
Hoffmann-La Roche Ltd.
Novogene Co., Ltd.

The detailed segments and sub-segments of the market are explained below:

By Type:

Genomics
Transcriptomics
Proteomics
Metabolomics
Epigenomics

By Application:

Clinical Diagnostics
Drug Discovery & Development

By Technology:

Machine Learning
Deep Learning
Others

By Offering:

Software
Services

By Region:

North America
U.S.
Canada
Europe
UK
Germany
France
Spain
Italy
ROE
Asia Pacific
China
India
Japan
Australia
South Korea
RoAPAC
Latin America
Brazil
Mexico
Rest of Latin America
Middle East & Africa
Saudi Arabia
South Africa
RoMEA

Years considered for the study are as follows:

Historical year - 2022
Base year - 2023
Forecast period - 2024 to 2032

Key Takeaways:

Market Estimates & Forecast for 10 years from 2022 to 2032.
Annualized revenues and regional level analysis for each market segment.
Detailed analysis of geographical landscape with Country level analysis of major regions.
Competitive landscape with information on major players in the market.
Analysis of key business strategies and recommendations on future market approach.
Analysis of competitive structure of the market.
Demand side and supply side analysis of the market.

Chapter 1. Global Artificial Intelligence in Omics Studies Market Executive Summary

1.1. Global Artificial Intelligence in Omics Studies Market Size & Forecast (2022-2032)
1.2. Regional Summary
1.3. Segmental Summary
- 1.3.1. By Type
- 1.3.2. By Application
- 1.3.3. By Technology
- 1.3.4. By Offering
1.4. Key Trends
1.5. Recession Impact
1.6. Analyst Recommendation & Conclusion

Chapter 2. Global Artificial Intelligence in Omics Studies Market Definition and Research Assumptions

2.1. Research Objective
2.2. Market Definition
2.3. Research Assumptions
- 2.3.1. Inclusion & Exclusion
- 2.3.2. Limitations
- 2.3.3. Supply Side Analysis
  - 2.3.3.1. Availability
  - 2.3.3.2. Infrastructure
  - 2.3.3.3. Regulatory Environment
  - 2.3.3.4. Market Competition
  - 2.3.3.5. Economic Viability (Consumer's Perspective)
- 2.3.4. Demand Side Analysis
  - 2.3.4.1. Regulatory frameworks
  - 2.3.4.2. Technological Advancements
  - 2.3.4.3. Environmental Considerations
  - 2.3.4.4. Consumer Awareness & Acceptance
2.4. Estimation Methodology
2.5. Years Considered for the Study
2.6. Currency Conversion Rates

Chapter 3. Global Artificial Intelligence in Omics Studies Market Dynamics

3.1. Market Drivers
- 3.1.1. Increasing Adoption of AI in Healthcare and Life Sciences Research
- 3.1.2. Rising Need for Customized Healthcare
- 3.1.3. Government Initiatives and Funding
3.2. Market Challenges
- 3.2.1. High Implementation Costs
- 3.2.2. Data Privacy and Security Concerns
3.3. Market Opportunities
- 3.3.1. Integration of AI in Various Omics Applications
- 3.3.2. Expansion in Emerging Markets

Chapter 4. Global Artificial Intelligence in Omics Studies Market Industry Analysis

4.1. Porter's 5 Force Model
- 4.1.1. Bargaining Power of Suppliers
- 4.1.2. Bargaining Power of Buyers
- 4.1.3. Threat of New Entrants
- 4.1.4. Threat of Substitutes
- 4.1.5. Competitive Rivalry
- 4.1.6. Futuristic Approach to Porter's 5 Force Model
- 4.1.7. Porter's 5 Force Impact Analysis
4.2. PESTEL Analysis
- 4.2.1. Political
- 4.2.2. Economical
- 4.2.3. Social
- 4.2.4. Technological
- 4.2.5. Environmental
- 4.2.6. Legal
4.3. Top Investment Opportunity
4.4. Top Winning Strategies
4.5. Disruptive Trends
4.6. Industry Expert Perspective
4.7. Analyst Recommendation & Conclusion

Chapter 5. Global Artificial Intelligence in Omics Studies Market Size & Forecasts by Type 2022-2032

5.1. Segment Dashboard
5.2. Global Artificial Intelligence in Omics Studies Market: Type Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 5.2.1. Genomics
- 5.2.2. Transcriptomics
- 5.2.3. Proteomics
- 5.2.4. Metabolomics
- 5.2.5. Epigenomics

Chapter 6. Global Artificial Intelligence in Omics Studies Market Size & Forecasts by Application 2022-2032

6.1. Segment Dashboard
6.2. Global Artificial Intelligence in Omics Studies Market: Application Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 6.2.1. Clinical Diagnostics
- 6.2.2. Drug Discovery & Development

Chapter 7. Global Artificial Intelligence in Omics Studies Market Size & Forecasts by Technology 2022-2032

7.1. Segment Dashboard
7.2. Global Artificial Intelligence in Omics Studies Market: Technology Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 7.2.1. Machine Learning
- 7.2.2. Deep Learning
- 7.2.3. Others

Chapter 8. Global Artificial Intelligence in Omics Studies Market Size & Forecasts by Offering 2022-2032

8.1. Segment Dashboard
8.2. Global Artificial Intelligence in Omics Studies Market: Offering Revenue Trend Analysis, 2022 & 2032 (USD Billion)
- 8.2.1. Software
- 8.2.2. Services

Chapter 9. Global Artificial Intelligence in Omics Studies Market Size & Forecasts by Region 2022-2032

9.1. North America Artificial Intelligence in Omics Studies Market
- 9.1.1. U.S. Artificial Intelligence in Omics Studies Market
  - 9.1.1.1. Type breakdown size & forecasts, 2022-2032
  - 9.1.1.2. Application breakdown size & forecasts, 2022-2032
- 9.1.2. Canada Artificial Intelligence in Omics Studies Market
9.2. Europe Artificial Intelligence in Omics Studies Market
- 9.2.1. U.K. Artificial Intelligence in Omics Studies Market
- 9.2.2. Germany Artificial Intelligence in Omics Studies Market
- 9.2.3. France Artificial Intelligence in Omics Studies Market
- 9.2.4. Spain Artificial Intelligence in Omics Studies Market
- 9.2.5. Italy Artificial Intelligence in Omics Studies Market
- 9.2.6. Rest of Europe Artificial Intelligence in Omics Studies Market
9.3. Asia-Pacific Artificial Intelligence in Omics Studies Market
- 9.3.1. China Artificial Intelligence in Omics Studies Market
- 9.3.2. India Artificial Intelligence in Omics Studies Market
- 9.3.3. Japan Artificial Intelligence in Omics Studies Market
- 9.3.4. Australia Artificial Intelligence in Omics Studies Market
- 9.3.5. South Korea Artificial Intelligence in Omics Studies Market
- 9.3.6. Rest of Asia Pacific Artificial Intelligence in Omics Studies Market
9.4. Latin America Artificial Intelligence in Omics Studies Market
- 9.4.1. Brazil Artificial Intelligence in Omics Studies Market
- 9.4.2. Mexico Artificial Intelligence in Omics Studies Market
- 9.4.3. Rest of Latin America Artificial Intelligence in Omics Studies Market
9.5. Middle East & Africa Artificial Intelligence in Omics Studies Market
- 9.5.1. Saudi Arabia Artificial Intelligence in Omics Studies Market
- 9.5.2. South Africa Artificial Intelligence in Omics Studies Market
- 9.5.3. Rest of Middle East & Africa Artificial Intelligence in Omics Studies Market

Chapter 10. Competitive Intelligence

10.1. Key Company SWOT Analysis
10.2. Top Market Strategies
10.3. Company Profiles
- 10.3.1. Pacific Biosciences of California, Inc.
  - 10.3.1.1. Key Information
  - 10.3.1.2. Overview
  - 10.3.1.3. Financial (Subject to Data Availability)
  - 10.3.1.4. Product Summary
  - 10.3.1.5. Market Strategies
- 10.3.2. Myriad Genetics, Inc.
- 10.3.3. BD (Becton, Dickinson and Company)
- 10.3.4. BioRad Laboratories, Inc.
- 10.3.5. Oxford Nanopore Technologies, PLC
- 10.3.6. PerkinElmer, Inc.
- 10.3.7. Agilent Technologies
- 10.3.8. Sequenom, Inc.
- 10.3.9. QIAGEN
- 10.3.10. Illumina, Inc.
- 10.3.11. Trimble Inc.
- 10.3.12. Abbott Laboratories
- 10.3.13. Thermo Fisher Scientific
- 10.3.14. Hoffmann-La Roche Ltd.
- 10.3.15. Novogene Co., Ltd.

Chapter 11. Research Process

11.1. Research Process
- 11.1.1. Data Mining
- 11.1.2. Analysis
- 11.1.3. Market Estimation
- 11.1.4. Validation
- 11.1.5. Publishing
11.2. Research Attributes