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AI in Omics Studies Market

Al in Omics Studies Market Size, Share & Trends Analysis Report, By Offering (Software, Services), By Technology Platform (Sequencing, Epigenomics, Proteomics, Metabolomics, Others), By Application (Oncology, Infectious Diseases, Neurology, Cardiovascular Diseases, Immunology, Others), By End User (Academic and Research Institutes, Biopharmaceutical Company, Others), By Region, Forecasts, 2024-2031

Report ID : 2363 | Published : 2024-03-08 | Pages: 179 | Format: PDF/EXCEL

Al in Omics Studies Market Size was valued at USD 633.46 Mn in 2023 and is predicted to reach USD 5,445.6 Mn by the year 2031 at a 31.2% CAGR during the forecast period for 2024-2031.

Al in Omics Studies Market info

The market for Al in omics investigations has grown significantly in recent years and is becoming more and more recognised globally. The omics sector is seeing a surge in AI due to the growing demand for pharmaceuticals and rising costs. The omics industry's need for AI is primarily being driven by two factors: its cost-effectiveness and the speed at which AI technology is developing. As a result of these developments in AI technology, new software solutions with AI capabilities are being created especially for the genomics sector. We are able to examine and handle genetic data more successfully because to these more advanced and effective technologies. Numerous manual processes in omics investigations may be automated with the use of AI algorithms and software, which will save labour costs and increase the efficiency of the process.

Competitive Landscape

Some of the Major Key Players in the Al in Omics Studies Market are

  • Thermo Fisher Scientific.
  • Agilent Technologies
  • Illumina
  • BGI Genomics
  • Dassault Systemes
  • Qiagen
  • Waters Corporation
  • GE Healthcare
  • Amazon Web Services, Inc
  • Bruker
  • Danaher
  • Other Prominent Players

 

Market Segmentation:

The Al in omics studies market can be segmented based on offering, technology platform, application and end-user. By offering, the market is segmented into software and services. By technology platform, the market is segmented into sequencing, epigenomics, proteomics, metabolomics and others (transcriptomics, etc.). By application, the market is segmented into oncology, infectious diseases, neurology, cardiovascular diseases, immunology, and others (pharmacogenomics, among others). By end user, the market is segmented into academic and research institutes, biopharmaceutical company, and others (contract research organizations, among others).

Based on Application, the Oncology Segment is a Growth Contributor in AI in Omics Studies Market

The greatest percentage is expected to be accounted for by oncology over the predicted period. Research and development of medications aimed at underserved patient groups and high-value indications are funded by this sector. In addition to having a sizable market potential and providing a sizable return on investment, these objectives should make use of digital technologies like as computer learning and artificial intelligence to improve patient monitoring and selection, optimise dosage, and improve clinical trial design. Additionally, these technologies may be used to find novel indications and possible therapeutic targets.

Another Segment Witnessing Market Growth Is Epigenomics Based on Technology Platform-

The ability to investigate individual cells is what makes epigenomics the market leader. The resolution level it offers was previously unattainable, making it feasible to get deeper understanding of disease processes and cell behaviour. Because they make it possible to identify uncommon cell types and biomarkers that mass sequencing would miss, they have the potential to completely transform personalised medicine by enabling more accurate diagnosis and focused treatments. It has the potential to provide new therapies for a number of ailments and offer a more thorough knowledge of biological processes. Isolating and sequencing individual cells has become simpler because to developments in microfluidics, imaging, and sequencing technology.

North America has a Significant Revenue Share in the AI in the Omics Studies Market Region.

The AI in omics studies market has expanded across North America, Latin America, Europe, the Middle East & Africa, and Asia-Pacific. In the global Al in omics studies market, artificial intelligence is most prevalent in North America. It points to a number of factors, including the prevalence of biotech and pharmaceutical businesses, supportive laws for advances in genomics and artificial intelligence, cutting-edge research facilities, and substantial financing for these fields. In addition, other significant factors propelling the regional market include the availability of enormous data resources, the growth in partnerships between academic institutions, technology companies, and industry players, and the adoption of cutting-edge technologies like artificial intelligence and their integration into clinical applications & genomics research.

Recent Developments:

  • In November 2023, biotechnology companies OWKIN and 10x Genomics, Inc., jointly announced that they have reached an agreement to incorporate 10x Genomics' single-cell and spatial omics technologies to their work in tumour investigation for potential therapeutic targets.
  • In September 2023, Janssen Global Services, LLC, a pharmaceutical firm, and Intelligent OMICS Ltd., a biotechnology company, agreed to a partnership in AI-driven research. The goal of the partnership with Janssen Global Services, LLC is to identify new biological targets that can be used to treat haematological malignancies.
  • In June 2022, the Ultima Genomics firm and Nvidia announced that they are partnering to separate AI at various stages of the DNA sequencing and analysis process. Accelerating variant calling and deep learning in photometry and base calling are two aspects of the relationship.

Al in Omics Studies Market Report Scope

Report Attribute

Specifications

Market Size Value In 2023

USD 633.46 Mn

Revenue Forecast In 2031

USD 5,445.6 Mn

Growth Rate CAGR

CAGR of 31.2% from 2024 to 2031

Quantitative Units

Representation of revenue in US$ Million and CAGR from 2024 to 2031

Historic Year

2019 to 2023

Forecast Year

2024-2031

Report Coverage

The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends

Segments Covered

By Offering, By Technology Platform, By Application, By End-user and By Region

Regional Scope

North America; Europe; Asia Pacific; Latin America; Middle East & Africa

Country Scope

U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; Southeast Asia; South Korea

Competitive Landscape

Thermo Fisher Scientific, Agilent Technologies, Illumina, BGI Genomics, Dassault Systemes, Qiagen, Waters Corporation, GE Healthcare, Amazon Web Services, Inc, Bruker, Danaher and Other Prominent Players.

Customization Scope

Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape.

Pricing And Available Payment Methods

Explore pricing alternatives that are customized to your particular study requirements.

Chapter 1. Methodology and Scope

1.1. Research Methodology

1.2. Research Scope & Assumptions

Chapter 2. Executive Summary

Chapter 3. Global AI in Omics Studies Market Snapshot

Chapter 4. Global AI in Omics Studies Market Variables, Trends & Scope

4.1. Market Segmentation & Scope

4.2. Drivers

4.3. Challenges

4.4. Trends

4.5. Investment and Funding Analysis

4.6. Industry Analysis – Porter’s Five Forces Analysis

4.7. Competitive Landscape & Market Share Analysis

4.8. Impact of Covid-19 Analysis

Chapter 5. Market Segmentation 1: by Offering Estimates & Trend Analysis

5.1. by Offering & Market Share, 2019 & 2031

5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Offering:

5.2.1. Software,

5.2.2. Services

Chapter 6. Market Segmentation 2: by Technology Platform Estimates & Trend Analysis

6.1. by Technology Platform & Market Share, 2019 & 2031

6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Technology Platform:

6.2.1. Sequencing

6.2.2.  Epigenomics

6.2.3.  Proteomics

6.2.4.  Metabolomics

6.2.5. Transcriptomics

6.2.6.  among others

Chapter 7. Market Segmentation 3: by Application Estimates & Trend Analysis

7.1. by Application & Market Share, 2019 & 2031

7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by Application:

7.2.1. Oncology

7.2.2.  Infectious Diseases

7.2.3.  Neurology

7.2.4.  Cardiovascular Diseases

7.2.5.  Immunology

7.2.6.   Pharmacogenomics

7.2.7.  among others

Chapter 8. Market Segmentation 4: by End-User Estimates & Trend Analysis

8.1. by End-User & Market Share, 2019 & 2031

8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2031 for the following by End-User:

8.2.1. Academic and Research Institutes

8.2.2.  Biopharmaceutical Company

8.2.3.  Others (Contract Research Organizations, among others)

Chapter 9. AI in Omics Studies Market Segmentation 5: Regional Estimates & Trend Analysis

9.1. North America

9.1.1. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031

9.1.2. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2019-2031

9.1.3. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.1.4. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.1.5. North America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

9.2. Europe

9.2.1. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031

9.2.2. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2019-2031

9.2.3. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.2.4. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.2.5. Europe AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

9.3. Asia Pacific

9.3.1. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031

9.3.2. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2019-2031

9.3.3. Asia-Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.3.4. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.3.5. Asia Pacific AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

9.4. Latin America

9.4.1. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031

9.4.2. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2019-2031

9.4.3. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.4.4. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.4.5. Latin America AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

9.5. Middle East & Africa

9.5.1. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2019-2031

9.5.2. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Technology Platform, 2019-2031

9.5.3. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by Application, 2019-2031

9.5.4. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by End-User, 2019-2031

9.5.5. Middle East & Africa AI in Omics Studies Market Revenue (US$ Million) Estimates and Forecasts by country, 2019-2031

Chapter 10. Competitive Landscape

10.1. Major Mergers and Acquisitions/Strategic Alliances

10.2. Company Profiles

10.2.1. Thermo Fisher Scientific

10.2.2.  Agilent Technologies

10.2.3. Illumina

10.2.4. BGI Genomics

10.2.5.  Dassault Systèmes

10.2.6.  Qiagen

10.2.7.  Waters Corporation

10.2.8.  GE Healthcare

10.2.9.  Amazon Web Services Inc

10.2.10.  Bruker

10.2.11.  Danaher

Segmentation of Al in Omics Studies Market -

Al in Omics Studies Market - By Offering:

  • Software
  • Services

Al in Omics Studies Market Seg

Al in Omics Studies Market - By Technology Platform:

  • Sequencing,
  • Epigenomics
  • Proteomics
  • Metabolomics
  • Others (Transcriptomics, among others)

Al in Omics Studies Market - By Application:

  • Oncology
  • Infectious Diseases
  • Neurology
  • Cardiovascular Diseases
  • Immunology
  • Others (Pharmacogenomics, among others)

Al in Omics Studies Market - By End User:

  • Academic and Research Institutes
  • Biopharmaceutical Company
  • Others (Contract Research Organizations, among others)

Al in Omics Studies Market - By Region-

North America-

  • The US
  • Canada
  • Mexico

Europe-

  • Germany
  • The UK
  • France
  • Italy
  • Spain
  • Rest of Europe

Asia-Pacific-

  • China
  • Japan
  • India
  • South Korea
  • South East Asia
  • Rest of Asia Pacific

Latin America-

  • Brazil
  • Argentina
  • Rest of Latin America

 Middle East & Africa-

  • GCC Countries
  • South Africa
  • Rest of Middle East and Africa

InsightAce Analytic follows a standard and comprehensive market research methodology focused on offering the most accurate and precise market insights. The methods followed for all our market research studies include three significant steps – primary research, secondary research, and data modeling and analysis - to derive the current market size and forecast it over the forecast period. In this study, these three steps were used iteratively to generate valid data points (minimum deviation), which were cross-validated through multiple approaches mentioned below in the data modeling section.

Through secondary research methods, information on the market under study, its peer, and the parent market was collected. This information was then entered into data models. The resulted data points and insights were then validated by primary participants.

Based on additional insights from these primary participants, more directional efforts were put into doing secondary research and optimize data models. This process was repeated till all data models used in the study produced similar results (with minimum deviation). This way, this iterative process was able to generate the most accurate market numbers and qualitative insights.

Secondary research

The secondary research sources that are typically mentioned to include, but are not limited to:

  • Company websites, financial reports, annual reports, investor presentations, broker reports, and SEC filings.
  • External and internal proprietary databases, regulatory databases, and relevant patent analysis
  • Statistical databases, National government documents, and market reports
  • Press releases, news articles, and webcasts specific to the companies operating in the market

The paid sources for secondary research like Factiva, OneSource, Hoovers, and Statista

Primary Research:

Primary research involves telephonic interviews, e-mail interactions, as well as face-to-face interviews for each market, category, segment, and subsegment across geographies

The contributors who typically take part in such a course include, but are not limited to: 

  • Industry participants: CEOs, CBO, CMO, VPs, marketing/ type managers, corporate strategy managers, and national sales managers, technical personnel, purchasing managers, resellers, and distributors.
  • Outside experts: Valuation experts, Investment bankers, research analysts specializing in specific markets
  • Key opinion leaders (KOLs) specializing in unique areas corresponding to various industry verticals
  • End-users: Vary mainly depending upon the market

Data Modeling and Analysis:

In the iterative process (mentioned above), data models received inputs from primary as well as secondary sources. But analysts working on these models were the key. They used their extensive knowledge and experience about industry and topic to make changes and fine-tuning these models as per the product/service under study.

The standard data models used while studying this market were the top-down and bottom-up approaches and the company shares analysis model. However, other methods were also used along with these – which were specific to the industry and product/service under study.

To know more about the research methodology used for this study, kindly contact us/click here.

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Frequently Asked Questions

How big is the Al in Omics Studies Market Size?

Al in Omics Studies Market is expected to grow at a 31.2% CAGR during the forecast period for 2024-2031.

Agilent Technologies, Illumina, BGI Genomics, Dassault Systemes, Qiagen, Waters Corporation, GE Healthcare, Amazon Web Services, Inc, Bruker, Danaher

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