The biological data visualization market size is estimated to be USD 489.2 million in 2022 and is expected to witness a CAGR of 12.54% during the forecast period 2023-2033. Increase in the use of visualization tools, rise in investments in bio-manufacturing and biotechnology are factors contributing to the market growth. Additionally, escalating research in genomics and proteomics, technological developments in analytical and business intelligence solutions, and demand for quicker decision-making are other factors supporting the market growth. However, user interface problems and the lack of computational consistency for data management is expected to hinder the growth.
Increase in the use of visualization tools is expected to propel the market growth during the forecast period. As a result of the big data field's fast development and the volume and complexity of biological data, there has been an increase in the use of visualisation tools on a global scale. Additionally, adopting advanced analysis tools is required to meet the demand for quicker decisions. These methods allow for the fast extraction of important data from larger, disorganised data sources. These factors are anticipated to have an impact on the rate of tool adoption over the projection period.
Rise in investments in bio-manufacturing and biotechnology is predicted to fuel the market growth. The development of a robust biological information ecosystem that includes biologic data visualisation is intended to increase investments in biotechnology and biomanufacturing. As it is projected to promote biotechnology and manufacturing innovation while maintaining appropriate levels of privacy, security, and research ethics. Similar to this, the United States government stated in September 2022 that it would invest USD 14 million in the development of tools for AI-based biological data analysis. A further USD 20 million will be used to create a data infrastructure that will make it easier to share data for cancer research.
To achieve a competitive edge, these companies are implementing a variety of growth strategies. Strategic partnerships, alliances, and agreements with different businesses and research institutions are seen to be the main strategies used by companies in this sector.
For instance, Terra and Verily partnered with Microsoft to improve the company's platform for life science and health research in January 2021. Access to Microsoft's data, cloud, AI technologies, and worldwide network of more than 168,000 life science and health partners will be made available due to the agreement.
This comprehensive research report focuses on the global and regional market size and forecasts of diverse segments including technique, platform, application, and end use from 2023 to 2033.
Increase in the use of visualization tools is expected to propel the market growth during the forecast period. As a result of the big data field's fast development and the volume and complexity of biological data, there has been an increase in the use of visualisation tools on a global scale. Additionally, adopting advanced analysis tools is required to meet the demand for quicker decisions. These methods allow for the fast extraction of important data from larger, disorganised data sources. These factors are anticipated to have an impact on the rate of tool adoption over the projection period.
Rise in investments in bio-manufacturing and biotechnology is predicted to fuel the market growth. The development of a robust biological information ecosystem that includes biologic data visualisation is intended to increase investments in biotechnology and biomanufacturing. As it is projected to promote biotechnology and manufacturing innovation while maintaining appropriate levels of privacy, security, and research ethics. Similar to this, the United States government stated in September 2022 that it would invest USD 14 million in the development of tools for AI-based biological data analysis. A further USD 20 million will be used to create a data infrastructure that will make it easier to share data for cancer research.
Segmentation
In 2022, North America region accounted for the highest revenue in the biological data visualization market and is expected to maintain its dominance during the forecast period. This is attributed to the established bioinformatics framework, the expanding use of a number of computational techniques, and the widespread deployment of cutting-edge sequencing technology. The use of information visualisation tools is anticipated to increase over the next few years as a result of the extensive use of bioinformatics tools by academic and research institutions in their investigations of diverse molecular biology methodologies. The emergence of both public and private organisations with a focus on big data, computational technologies, and bioinformatics is another factor driving market expansion in the Asia Pacific region. One such instance is the HKUST Big Data Institute, which plays a significant leadership role in Data Science and Big Data research in Hong Kong and throughout the world by undertaking educational programmes and research projects in these fields. In the region of pharmaceutical R&D, fintech, and traditional Chinese medicine (TCM) service systems, for instance, HKUST declared in September 2022 that it would partner with the Applied Science and Technology Research Institute (ASTRI) to conduct research and encourage the sharing of technology, including big data analysis and AI.Competitor Insights
Some of the key players operating in the biological data visualization market are 3M, Thermo Fisher Scientific, Inc., QIAGEN, ZEISS International, Olympus Corporation, General Electric Company, Agilent Technologies Inc., Oxford Instruments, and Clarivate.To achieve a competitive edge, these companies are implementing a variety of growth strategies. Strategic partnerships, alliances, and agreements with different businesses and research institutions are seen to be the main strategies used by companies in this sector.
For instance, Terra and Verily partnered with Microsoft to improve the company's platform for life science and health research in January 2021. Access to Microsoft's data, cloud, AI technologies, and worldwide network of more than 168,000 life science and health partners will be made available due to the agreement.
This comprehensive research report focuses on the global and regional market size and forecasts of diverse segments including technique, platform, application, and end use from 2023 to 2033.
Segmentation: Biological Data Visualization Market Report 2022 - 2033
Technique (Revenue, USD Million), 2022 - 2033
- Magnetic Resonance Imaging
- Microscopy
- X-ray Crystallography
- Sequencing
- Others
Platform (Revenue, USD Million), 2022 - 2033
- Linux
- Windows
- Mac OS
- Others
Application (Revenue, USD Million), 2022 - 2033
- Structural Biology and Molecular Modelling
- Cell and Organism Imaging
- Alignments, Phylogeny, & Evolution
- Systems Biology
- Genomic Analysis
End Use (Revenue, USD Million), 2022 - 2033
- Hospitals & Clinics
- Pharma & Biotech Company
- Academic Research
- Others
By Region (Revenue, USD Million), 2022 - 2033
North America
- U.S.
- Canada
Europe
- Germany
- France
- UK
- Spain
- Italy
- Rest of Europe
Asia Pacific
- China
- Japan
- India
- Australia
- South Korea
- Rest of APAC
Latin America
- Brazil
- Mexico
- Argentina
- Rest of LATAM
Middle East & Africa
- South Africa
- GCC
- Rest of MEA
Table of Contents
1. Research Methodology
4. Market Dynamics
5. Market Environment Analysis
7. Market Analysis by Technique
8. Market Analysis by Platform
9. Market Analysis by Application
10. Market Analysis by End Use
10. Regional Market Analysis
11. North America Biological Data Visualization Market
11. Europe Biological Data Visualization Market
12. Asia PacificBiological Data Visualization Market
13. Latin America Biological Data Visualization Market
14. MEABiological Data Visualization Market
15. Competitor Analysis
16. Company Profiles
Companies Mentioned
A selection of companies mentioned in this report includes:
- 3M
- Thermo Fisher Scientific Inc.
- QIAGEN
- ZEISS International
- Olympus Corporation
- General Electric Company
- Agilent Technologies Inc.
- Oxford Instruments
- Clarivate.