Artificial Intelligence in Bioinformatics Market Size, Share & Trends Analysis Report, By Offering (Software, Services, Others), By Type (Machine Learning, Deep Learning and Others), By Products and Services (Knowledge Management Tools, Bioinformatics Platforms, Bioinformatic Services), By Application, By Sector, By Region, Forecasts, 2024-2033

Report Id: 2689 Pages: 170 Last Updated: 25 September 2024 Format: PDF / PPT / Excel / Power BI
Share With : linkedin twitter facebook

Segmentation of Artificial Intelligence in Bioinformatics Market-

Artificial Intelligence in Bioinformatics Market- By Offering

  • Services
  • Software
  • Others

AI in bioinformatics

Artificial Intelligence in Bioinformatics Market- By Type

  • Machine Learning
  • Deep Learning
  • Others

Artificial Intelligence in Bioinformatics Market- By Products and Services

  • Bioinformatics Services
  • Bioinformatics Platforms
  • Knowledge Management Tools

Artificial Intelligence in Bioinformatics Market- By Application

  • Genomics
  • Chemoinformatics & Drug Design
  • Proteomics
  • DNA Sequencing
  • System Biology
  • Transcriptomics
  • Text Mining
  • Microarrays
  • Metabolomics
  • Others

Artificial Intelligence in Bioinformatics Market- By Sector

  • Medical Biotechnology
  • Animal Biotechnology
  • Plant Biotechnology
  • Environmental Biotechnology
  • Forensic Biotechnology
  • Others

Artificial Intelligence in Bioinformatics 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 the Middle East and Africa

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

Research Design and Approach

This study employed a multi-step, mixed-method research approach that integrates:

  • Secondary research
  • Primary research
  • Data triangulation
  • Hybrid top-down and bottom-up modelling
  • Forecasting and scenario analysis

This approach ensures a balanced and validated understanding of both macro- and micro-level market factors influencing the market.

Secondary Research

Secondary research for this study involved the collection, review, and analysis of publicly available and paid data sources to build the initial fact base, understand historical market behaviour, identify data gaps, and refine the hypotheses for primary research.

Sources Consulted

Secondary data for the market study was gathered from multiple credible sources, including:

  • Government databases, regulatory bodies, and public institutions
  • International organizations (WHO, OECD, IMF, World Bank, etc.)
  • Commercial and paid databases
  • Industry associations, trade publications, and technical journals
  • Company annual reports, investor presentations, press releases, and SEC filings
  • Academic research papers, patents, and scientific literature
  • Previous market research publications and syndicated reports

These sources were used to compile historical data, market volumes/prices, industry trends, technological developments, and competitive insights.

Secondary Research

Primary Research

Primary research was conducted to validate secondary data, understand real-time market dynamics, capture price points and adoption trends, and verify the assumptions used in the market modelling.

Stakeholders Interviewed

Primary interviews for this study involved:

  • Manufacturers and suppliers in the market value chain
  • Distributors, channel partners, and integrators
  • End-users / customers (e.g., hospitals, labs, enterprises, consumers, etc., depending on the market)
  • Industry experts, technology specialists, consultants, and regulatory professionals
  • Senior executives (CEOs, CTOs, VPs, Directors) and product managers

Interview Process

Interviews were conducted via:

  • Structured and semi-structured questionnaires
  • Telephonic and video interactions
  • Email correspondences
  • Expert consultation sessions

Primary insights were incorporated into demand modelling, pricing analysis, technology evaluation, and market share estimation.

Data Processing, Normalization, and Validation

All collected data were processed and normalized to ensure consistency and comparability across regions and time frames.

The data validation process included:

  • Standardization of units (currency conversions, volume units, inflation adjustments)
  • Cross-verification of data points across multiple secondary sources
  • Normalization of inconsistent datasets
  • Identification and resolution of data gaps
  • Outlier detection and removal through algorithmic and manual checks
  • Plausibility and coherence checks across segments and geographies

This ensured that the dataset used for modelling was clean, robust, and reliable.

Market Size Estimation and Data Triangulation

Bottom-Up Approach

The bottom-up approach involved aggregating segment-level data, such as:

  • Company revenues
  • Product-level sales
  • Installed base/usage volumes
  • Adoption and penetration rates
  • Pricing analysis

This method was primarily used when detailed micro-level market data were available.

Bottom Up Approach

Top-Down Approach

The top-down approach used macro-level indicators:

  • Parent market benchmarks
  • Global/regional industry trends
  • Economic indicators (GDP, demographics, spending patterns)
  • Penetration and usage ratios

This approach was used for segments where granular data were limited or inconsistent.

Hybrid Triangulation Approach

To ensure accuracy, a triangulated hybrid model was used. This included:

  • Reconciling top-down and bottom-up estimates
  • Cross-checking revenues, volumes, and pricing assumptions
  • Incorporating expert insights to validate segment splits and adoption rates

This multi-angle validation yielded the final market size.

Forecasting Framework and Scenario Modelling

Market forecasts were developed using a combination of time-series modelling, adoption curve analysis, and driver-based forecasting tools.

Forecasting Methods

  • Time-series modelling
  • S-curve and diffusion models (for emerging technologies)
  • Driver-based forecasting (GDP, disposable income, adoption rates, regulatory changes)
  • Price elasticity models
  • Market maturity and lifecycle-based projections

Scenario Analysis

Given inherent uncertainties, three scenarios were constructed:

  • Base-Case Scenario: Expected trajectory under current conditions
  • Optimistic Scenario: High adoption, favourable regulation, strong economic tailwinds
  • Conservative Scenario: Slow adoption, regulatory delays, economic constraints

Sensitivity testing was conducted on key variables, including pricing, demand elasticity, and regional adoption.

Name field cannot be blank!
Email field cannot be blank!(Use email format)
Designation field cannot be blank!
Company field cannot be blank!
Contact No field cannot be blank!
Message field cannot be blank!
6196
Security Code field cannot be blank!

Frequently Asked Questions

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

The Artificial Intelligence in Bioinformatics Market is expected to grow at at a 42.1% CAGR during the forecast period for 2024-2033.

JADBio, Gnosis Data Analysis, Fios Genomics, SOPHiA GENETICS, Biomax Informatics Inc., DNASTAR, Ardigen (Parent Company Selvita Group), Source BioScie

Report License Selection

Determine the Appropriate License for your Report

Get Sample Report Enquiry Before Buying