The Artificial Intelligence in Bioinformatics Market Size was valued at USD 3.97 Mn in 2023 and is predicted to reach USD 125.3 Mn by 2033 at a 42.1% CAGR during the forecast period for 2024-2033.
Artificial intelligence (AI) in bioinformatics uses AI tools and techniques for biomedical information analysis and interpretation. Substantial and complicated biological records, including protein frameworks, genome patterns, and other biology-related data, are managed and analyzed in bioinformatics. Government and business sector actions and medicine research and development should accelerate market expansion. Focus on research in drug research and development is made more accessible by bioinformatics, which searches through enormous datasets to find possible targets for therapy. It plays a crucial role in lead optimization, helping to identify the most effective medications by analyzing how they relate to targets in biology.
By refining clinical group choice and utilizing information analysis to enhance examination events, bioinformatics helps to improve clinical trial design. Bioinformatics reduces the possibility of late-stage failures by forecasting drug reactions, negativity, and efficiency. It makes data-based choices possible for pharmaceutical companies, favouring compounds with higher chances of achievement.
However, the AI-based bioinformatics industry is expected to be hindered by the elevated price of programs and offerings in this sector. The AI-based bioinformatics tool is quite complex, requiring high validation and additional growing specifications. Furthermore, genomics equipment is more expensive since they have more sophisticated capabilities and activities. Because research labs and drug companies need many of these systems, they have to invest a lot of resources in buying different genetic equipment. Compact and medium-sized medical companies and research labs cannot afford to invest so much money in several genomics' devices. Therefore, the high price of AI-based technology is anticipated to limit market expansion.
Artificial intelligence in bioinformatics is segmented based on offering, type, products and services, application, and sector. Based on the offering, the market is segmented into software, services, and others. The market is segmented based on type into machine learning, deep learning, and others. By product and services, the market is segmented into knowledge management tools, bioinformatics platforms, and bioinformatics services. The market is segmented by application into genomics, microarrays, system biology, text mining, chemoinformatics & drug design, proteomics, transcriptomics, DNA sequencing, metabolomics, and others. By sector, the market is segmented into medical biotechnology, animal biotechnology, plant biotechnology, environmental biotechnology, forensic biotechnology, and others.
The software segment is expected to hold a significant global market share in 2023 because more businesses are opening up and providing instruments and machines. Bioinformatics software is used more frequently in research investigations due to the benefits of genomics and statistical systems. This encourages investors to devote more to research and development, fueling the segment's expansion.
The proteomics industry uses the bulk of acrylic acid esters because of increased investments in technology development and the growth of R&D projects. These technologies support large-scale data management and analysis. Additionally, algorithms are employed in databases to manage and oversee material. The proteomics segment is growing due to these various factors, especially in countries like the US, Germany, the U.K., China, and India.
The North American artificial intelligence in the bioinformatics market is expected to register the highest market share in revenue in the near future. It can be attributed to this sector has grown more quickly as a result of the growing demand for cutting-edge technologies and medication discovery & creation. In response to the growing demand, businesses and industry participants are implementing a range of tactics, including product introductions, partnerships for acquisitions, and advancements, among others, which are anticipated to accelerate market expansion. In addition, Asia Pacific is projected to grow rapidly in the global artificial intelligence in bioinformatics market due to advancements in the industries of proteins and genetics, which provide vast volumes of data that need to be processed and interpreted. More sophisticated algorithms for bioinformatics are also required, as these are critical to investigating and creating treatments.
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Report Attribute |
Specifications |
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Market Size Value In 2023 |
USD 3.97 Mn |
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Revenue Forecast In 2033 |
USD 125.3 Mn |
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Growth Rate CAGR |
CAGR of 42.1% from 2024 to 2033 |
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Quantitative Units |
Representation of revenue in US$ Mn and CAGR from 2024 to 2033 |
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Historic Year |
2019 to 2023 |
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Forecast Year |
2024-2033 |
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Report Coverage |
The forecast of revenue, the position of the company, the competitive market structure, growth prospects, and trends |
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Segments Covered |
By Type, By Application, By Offering, By Product and Services, By Sector and By Region |
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Regional Scope |
North America; Europe; Asia Pacific; Latin America; Middle East & Africa |
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Country Scope |
U.S.; Canada; U.K.; Germany; China; India; Japan; Brazil; Mexico; France; Italy; Spain; South East Asia; South Korea |
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Competitive Landscape |
JADBio, Gnosis Data Analysis, Fios Genomics, SOPHiA GENETICS, Biomax Informatics Inc., DNASTAR, Ardigen (Parent Company Selvita Group), Source BioScience, QIAGEN, NeoGenomics Laboratories, CelbridgeScience, Eurofins Scientific, Illumina, Inc., Thermo Fisher Scientific, Inc., Insilico Medicine, Strand Life Sciences, Dassault Systèmes, iNDX.Ai, Paige AI, Inc., and SomaLogic Operating Co., Inc. |
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Customization Scope |
Free customization report with the procurement of the report and modifications to the regional and segment scope. Particular Geographic competitive landscape. |
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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 Bioinformatics Market Snapshot
Chapter 4. Global AI in Bioinformatics 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, 2023 & 2033
5.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2033 for the following By Offering:
5.2.1. Services
5.2.2. Software
5.2.3. Others
Chapter 6. Market Segmentation 2: By Application Estimates & Trend Analysis
6.1. By Application & Market Share, 2023 & 2033
6.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2033 for the following By Application:
6.2.1. Genomics
6.2.2. Chemoinformatics & Drug Design
6.2.3. Proteomics
6.2.4. DNA Sequencing
6.2.5. System Biology
6.2.6. Transcriptomics
6.2.7. Text Mining
6.2.8. Microarrays
6.2.9. Metabolomics
6.2.10. Others
Chapter 7. Market Segmentation 3: By Type Estimates & Trend Analysis
7.1. By Type & Market Share, 2023 & 2033
7.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2033 for the following By Type:
7.2.1. Machine Learning
7.2.2. Deep Learning
7.2.3. Others
Chapter 8. Market Segmentation 4: by Products and Services Estimates & Trend Analysis
8.1. by Products and Services & Market Share, 2023 & 2033
8.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2033 for the following by Products and Services:
8.2.1. Bioinformatics Services
8.2.2. Bioinformatics Platforms
8.2.3. Knowledge Management Tools
Chapter 9. Market Segmentation 5: by Sector Estimates & Trend Analysis
9.1. by Sector & Market Share, 2023 & 2033
9.2. Market Size (Value (US$ Mn)) & Forecasts and Trend Analyses, 2019 to 2033 for the following by Sector:
9.2.1. Medical Biotechnology
9.2.2. Animal Biotechnology
9.2.3. Plant Biotechnology
9.2.4. Environmental Biotechnology
9.2.5. Forensic Biotechnology
9.2.6. Others
Chapter 10. AI in Bioinformatics Market Segmentation 6: Regional Estimates & Trend Analysis
10.1. North America
10.1.1. North America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2024-2033
10.1.2. North America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Products and Services, 2024-2033
10.1.3. North America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2033
10.1.4. North America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2033
10.1.5. North America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Sector, 2024-2033
10.1.6. North America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2033.
10.2. Europe
10.2.1. Europe AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2024-2033
10.2.2. Europe AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Products and Services, 2024-2033
10.2.3. Europe AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2033
10.2.4. Europe AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2033
10.2.5. Europe AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Sector, 2024-2033
10.2.6. Europe AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2033.
10.3. Asia Pacific
10.3.1. Asia Pacific AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2024-2033
10.3.2. Asia Pacific AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Products and Services, 2024-2033
10.3.3. Asia Pacific AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2033
10.3.4. Asia Pacific AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2033
10.3.5. Asia Pacific AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Sector, 2024-2033
10.3.6. Asia Pacific AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2033.
10.4. Latin America
10.4.1. Asia Pacific AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2024-2033
10.4.2. Asia Pacific AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Products and Services, 2024-2033
10.4.3. Latin America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2033
10.4.4. Latin America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2033
10.4.5. Latin America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Sector, 2024-2033
10.4.6. Latin America AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2033.
10.5. Middle East & Africa
10.5.1. Middle East & Africa AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Offering, 2024-2033
10.5.2. Middle East & Africa AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Products and Services, 2024-2033
10.5.3. Middle East & Africa AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Application, 2024-2033
10.5.4. Middle East & Africa AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Type, 2024-2033
10.5.5. Middle East & Africa AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by Sector, 2024-2033
10.5.6. Middle East & Africa AI in Bioinformatics Market Revenue (US$ Million) Estimates and Forecasts by country, 2024-2033.
Chapter 11. Competitive Landscape
11.1. Major Mergers and Acquisitions/Strategic Alliances
11.2. Company Profiles
11.2.1. JADBio (U.S.)
11.2.2. Gnosis Data Analysis (Israel)
11.2.3. Fios Genomics (U.K.)
11.2.4. SOPHiA GENETICS (Switzerland)
11.2.5. Biomax Informatics Inc. (U.S.)
11.2.6. DNASTAR (U.S.)
11.2.7. Ardigen (Parent Company Selvita Group) (Poland)
11.2.8. Source BioScience (U.K.)
11.2.9. QIAGEN (Germany)
11.2.10. NeoGenomics Laboratories (U.S.)
11.2.11. CelbridgeScience (U.S.)
11.2.12. Eurofins Scientific (Luxembourg)
11.2.13. Illumina, Inc. (U.S.)
11.2.14. Thermo Fisher Scientific, Inc. (U.S.)
11.2.15. Insilico Medicine (U.S.)
11.2.16. Strand Life Sciences (India)
11.2.17. Dassault Systèmes (France)
11.2.18. iNDX.Ai (U.S.)
11.2.19. Paige AI, Inc. (U.S.)
11.2.20. SomaLogic Operating Co., Inc. (U.S.)
11.2.21. Other Players
Artificial Intelligence in Bioinformatics Market- By Offering
Artificial Intelligence in Bioinformatics Market- By Type
Artificial Intelligence in Bioinformatics Market- By Products and Services
Artificial Intelligence in Bioinformatics Market- By Application
Artificial Intelligence in Bioinformatics Market- By Sector
Artificial Intelligence in Bioinformatics Market- By Region
North America-
Europe-
Asia-Pacific-
Latin America-
Middle East & 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:
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:
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.
